Model parameters: d_model 1792 ffw_size 7168 kv_size 128 n_heads 14 n_layers 26 Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 26 --hidden-size 1792 --num-attention-heads 14 --kv-channels 128 --ffn-hidden-size 7168 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 1 --global-batch-size 256 --train-samples 5_936_416 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-1b112b --bf16 --optimizer adam --adam-beta1 0.9 --adam-beta2 0.999 --adam-eps 1e-8 --lr 2e-4 --min-lr 2e-5 --lr-decay-style cosine --lr-decay-samples 5_936_416 --lr-warmup-samples 59_364 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 10000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_1b112b --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_1b112b --load checkpoints_1b112b --data-path /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document --data-impl mmap --split 949,50,1 --deepspeed --deepspeed_config ds_configs/2077320.json --zero-stage 0 START 2077320: Mon Nov 28 17:47:16 EET 2022 0: 0: 0: ======================= ROCm System Management Interface ======================= 0: ================================= Concise Info ================================= 0: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 0: 0 49.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 2 39.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 4 41.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 6 42.0c 83.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: ================================================================================ 0: ============================= End of ROCm SMI Log ============================== 9: 9: 9: ======================= ROCm System Management Interface ======================= 9: ================================= Concise Info ================================= 9: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 9: 0 45.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 9: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 9: 2 36.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 9: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 9: 4 46.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 9: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 9: 6 46.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 9: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 9: ================================================================================ 9: ============================= End of ROCm SMI Log ============================== 7: 7: 7: ======================= ROCm System Management Interface ======================= 7: ================================= Concise Info ================================= 7: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 7: 0 46.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 2 40.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 4 39.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 5 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 6 39.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: ================================================================================ 7: ============================= End of ROCm SMI Log ============================== 10: 10: 10: ======================= ROCm System Management Interface ======================= 10: ================================= Concise Info ================================= 10: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 10: 0 48.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 10: 1 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 10: 2 44.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 10: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 10: 4 40.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 10: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 10: 6 40.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 10: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 10: ================================================================================ 10: ============================= End of ROCm SMI Log ============================== 12: 12: 12: ======================= ROCm System Management Interface ======================= 12: ================================= Concise Info ================================= 12: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 12: 0 48.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 12: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 12: 2 42.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 12: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 12: 4 39.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 12: 5 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 12: 6 44.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 12: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 12: ================================================================================ 12: ============================= End of ROCm SMI Log ============================== 6: 6: 6: ======================= ROCm System Management Interface ======================= 6: ================================= Concise Info ================================= 6: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 6: 0 47.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 2 34.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 4 46.0c 83.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 6 38.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: ================================================================================ 6: ============================= End of ROCm SMI Log ============================== 17: 17: 17: ======================= ROCm System Management Interface ======================= 17: ================================= Concise Info ================================= 17: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 17: 0 46.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 17: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 17: 2 37.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 17: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 17: 4 41.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 17: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 17: 6 36.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 17: 7 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 17: ================================================================================ 17: ============================= End of ROCm SMI Log ============================== 11: 11: 11: ======================= ROCm System Management Interface ======================= 11: ================================= Concise Info ================================= 11: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 11: 0 44.0c 101.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 11: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 11: 2 47.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 11: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 11: 4 41.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 11: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 11: 6 37.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 11: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 11: ================================================================================ 11: ============================= End of ROCm SMI Log ============================== 14: 14: 14: ======================= ROCm System Management Interface ======================= 14: ================================= Concise Info ================================= 14: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 14: 0 44.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 14: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 14: 2 44.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 14: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 14: 4 43.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 14: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 14: 6 41.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 14: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 14: ================================================================================ 14: ============================= End of ROCm SMI Log ============================== 13: 13: 13: ======================= ROCm System Management Interface ======================= 13: ================================= Concise Info ================================= 13: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 13: 0 43.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 13: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 13: 2 39.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 13: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 13: 4 37.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 13: 5 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 13: 6 44.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 13: 7 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 13: ================================================================================ 13: ============================= End of ROCm SMI Log ============================== 15: 15: 15: ======================= ROCm System Management Interface ======================= 15: ================================= Concise Info ================================= 15: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 15: 0 45.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 15: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 15: 2 43.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 15: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 15: 4 43.0c 83.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 15: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 15: 6 34.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 15: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 15: ================================================================================ 15: ============================= End of ROCm SMI Log ============================== 19: 19: 19: ======================= ROCm System Management Interface ======================= 19: ================================= Concise Info ================================= 19: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 19: 0 41.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 19: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 19: 2 41.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 19: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 19: 4 46.0c 78.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 19: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 19: 6 44.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 19: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 19: ================================================================================ 19: ============================= End of ROCm SMI Log ============================== 24: 24: 24: ======================= ROCm System Management Interface ======================= 24: ================================= Concise Info ================================= 24: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 24: 0 45.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 24: 1 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 24: 2 40.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 24: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 24: 4 41.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 24: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 24: 6 41.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 24: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 24: ================================================================================ 24: ============================= End of ROCm SMI Log ============================== 8: 8: 8: ======================= ROCm System Management Interface ======================= 8: ================================= Concise Info ================================= 8: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 8: 0 47.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 8: 1 53.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 8: 2 43.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 8: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 8: 4 41.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 8: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 8: 6 41.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 8: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 8: ================================================================================ 8: ============================= End of ROCm SMI Log ============================== 22: 22: 22: ======================= ROCm System Management Interface ======================= 22: ================================= Concise Info ================================= 22: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 22: 0 39.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 22: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 22: 2 37.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 22: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 22: 4 37.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 22: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 22: 6 38.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 22: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 22: ================================================================================ 22: ============================= End of ROCm SMI Log ============================== 30: 30: 30: ======================= ROCm System Management Interface ======================= 30: ================================= Concise Info ================================= 30: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 30: 0 44.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 30: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 30: 2 45.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 30: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 30: 4 46.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 30: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 30: 6 41.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 30: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 30: ================================================================================ 30: ============================= End of ROCm SMI Log ============================== 29: 29: 29: ======================= ROCm System Management Interface ======================= 29: ================================= Concise Info ================================= 29: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 29: 0 45.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 29: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 29: 2 39.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 29: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 29: 4 43.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 29: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 29: 6 47.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 29: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 29: ================================================================================ 29: ============================= End of ROCm SMI Log ============================== 26: 26: 26: ======================= ROCm System Management Interface ======================= 26: ================================= Concise Info ================================= 26: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 26: 0 46.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 26: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 26: 2 42.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 26: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 26: 4 40.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 26: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 26: 6 42.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 26: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 26: ================================================================================ 26: ============================= End of ROCm SMI Log ============================== 5: 5: 5: ======================= ROCm System Management Interface ======================= 5: ================================= Concise Info ================================= 5: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 5: 0 44.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 1 39.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 2 39.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 4 45.0c 83.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 6 40.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: ================================================================================ 5: ============================= End of ROCm SMI Log ============================== 4: 4: 4: ======================= ROCm System Management Interface ======================= 4: ================================= Concise Info ================================= 4: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 4: 0 45.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 2 44.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 4 45.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 6 37.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 7 35.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: ================================================================================ 4: ============================= End of ROCm SMI Log ============================== 2: 2: 2: ======================= ROCm System Management Interface ======================= 2: ================================= Concise Info ================================= 2: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 2: 0 46.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 2 39.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 4 45.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 6 36.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: ================================================================================ 2: ============================= End of ROCm SMI Log ============================== 20: 20: 20: ======================= ROCm System Management Interface ======================= 20: ================================= Concise Info ================================= 20: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 20: 0 45.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 20: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 20: 2 43.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 20: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 20: 4 46.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 20: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 20: 6 38.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 20: 7 38.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 20: ================================================================================ 20: ============================= End of ROCm SMI Log ============================== 31: 31: 31: ======================= ROCm System Management Interface ======================= 31: ================================= Concise Info ================================= 31: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 31: 0 46.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 31: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 31: 2 40.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 31: 3 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 31: 4 43.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 31: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 31: 6 41.0c 100.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 31: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 31: ================================================================================ 31: ============================= End of ROCm SMI Log ============================== 23: 23: 23: ======================= ROCm System Management Interface ======================= 23: ================================= Concise Info ================================= 23: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 23: 0 42.0c 98.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 23: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 23: 2 43.0c 100.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 23: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 23: 4 42.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 23: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 23: 6 40.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 23: 7 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 23: ================================================================================ 23: ============================= End of ROCm SMI Log ============================== 28: 28: 28: ======================= ROCm System Management Interface ======================= 28: ================================= Concise Info ================================= 28: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 28: 0 48.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 28: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 28: 2 44.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 28: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 28: 4 50.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 28: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 28: 6 42.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 28: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 28: ================================================================================ 28: ============================= End of ROCm SMI Log ============================== 25: 25: 25: ======================= ROCm System Management Interface ======================= 25: ================================= Concise Info ================================= 25: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 25: 0 44.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 25: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 25: 2 37.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 25: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 25: 4 43.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 25: 5 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 25: 6 50.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 25: 7 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 25: ================================================================================ 25: ============================= End of ROCm SMI Log ============================== 1: 1: 1: ======================= ROCm System Management Interface ======================= 1: ================================= Concise Info ================================= 1: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 1: 0 45.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 2 40.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 3 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 4 39.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 6 38.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 7 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: ================================================================================ 1: ============================= End of ROCm SMI Log ============================== 3: 3: 3: ======================= ROCm System Management Interface ======================= 3: ================================= Concise Info ================================= 3: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 3: 0 42.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 2 44.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 4 41.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 6 40.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: ================================================================================ 3: ============================= End of ROCm SMI Log ============================== 27: 27: 27: ======================= ROCm System Management Interface ======================= 27: ================================= Concise Info ================================= 27: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 27: 0 43.0c 101.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 27: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 27: 2 41.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 27: 3 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 27: 4 37.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 27: 5 39.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 27: 6 43.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 27: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 27: ================================================================================ 27: ============================= End of ROCm SMI Log ============================== 21: 21: 21: ======================= ROCm System Management Interface ======================= 21: ================================= Concise Info ================================= 21: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 21: 0 46.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 21: 1 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 21: 2 41.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 21: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 21: 4 46.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 21: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 21: 6 41.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 21: 7 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 21: ================================================================================ 21: ============================= End of ROCm SMI Log ============================== 18: 18: 18: ======================= ROCm System Management Interface ======================= 18: ================================= Concise Info ================================= 18: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 18: 0 40.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 18: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 18: 2 38.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 18: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 18: 4 41.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 18: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 18: 6 48.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 18: 7 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 18: ================================================================================ 18: ============================= End of ROCm SMI Log ============================== 16: 16: 16: ======================= ROCm System Management Interface ======================= 16: ================================= Concise Info ================================= 16: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 16: 0 47.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 16: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 16: 2 44.0c 76.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 16: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 16: 4 40.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 16: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 16: 6 45.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 16: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 16: ================================================================================ 16: ============================= End of ROCm SMI Log ============================== 25: Launching on nid007109 (25/32), master nid005445 port 9999, GPUs 8, CUDA: True 13: Launching on nid005957 (13/32), master nid005445 port 9999, GPUs 8, CUDA: True 30: Launching on nid007545 (30/32), master nid005445 port 9999, GPUs 8, CUDA: True 27: Launching on nid007508 (27/32), master nid005445 port 9999, GPUs 8, CUDA: True 8: Launching on nid005881 (8/32), master nid005445 port 9999, GPUs 8, CUDA: True 28: Launching on nid007509 (28/32), master nid005445 port 9999, GPUs 8, CUDA: True 21: Launching on nid006978 (21/32), master nid005445 port 9999, GPUs 8, CUDA: True 7: Launching on nid005880 (7/32), master nid005445 port 9999, GPUs 8, CUDA: True 24: Launching on nid007108 (24/32), master nid005445 port 9999, GPUs 8, CUDA: True 26: Launching on nid007492 (26/32), master nid005445 port 9999, GPUs 8, CUDA: True 10: Launching on nid005889 (10/32), master nid005445 port 9999, GPUs 8, CUDA: True 16: Launching on nid006552 (16/32), master nid005445 port 9999, GPUs 8, CUDA: True 0: Launching on nid005445 (0/32), master nid005445 port 9999, GPUs 8, CUDA: True 11: Launching on nid005894 (11/32), master nid005445 port 9999, GPUs 8, CUDA: True 3: Launching on nid005554 (3/32), master nid005445 port 9999, GPUs 8, CUDA: True 29: Launching on nid007544 (29/32), master nid005445 port 9999, GPUs 8, CUDA: True 6: Launching on nid005599 (6/32), master nid005445 port 9999, GPUs 8, CUDA: True 14: Launching on nid005958 (14/32), master nid005445 port 9999, GPUs 8, CUDA: True 12: Launching on nid005895 (12/32), master nid005445 port 9999, GPUs 8, CUDA: True 9: Launching on nid005888 (9/32), master nid005445 port 9999, GPUs 8, CUDA: True 31: Launching on nid007548 (31/32), master nid005445 port 9999, GPUs 8, CUDA: True 19: Launching on nid006766 (19/32), master nid005445 port 9999, GPUs 8, CUDA: True 1: Launching on nid005552 (1/32), master nid005445 port 9999, GPUs 8, CUDA: True 4: Launching on nid005555 (4/32), master nid005445 port 9999, GPUs 8, CUDA: True 23: Launching on nid006981 (23/32), master nid005445 port 9999, GPUs 8, CUDA: True 20: Launching on nid006767 (20/32), master nid005445 port 9999, GPUs 8, CUDA: True 2: Launching on nid005553 (2/32), master nid005445 port 9999, GPUs 8, CUDA: True 15: Launching on nid006551 (15/32), master nid005445 port 9999, GPUs 8, CUDA: True 18: Launching on nid006753 (18/32), master nid005445 port 9999, GPUs 8, CUDA: True 5: Launching on nid005598 (5/32), master nid005445 port 9999, GPUs 8, CUDA: True 22: Launching on nid006980 (22/32), master nid005445 port 9999, GPUs 8, CUDA: True 17: Launching on nid006752 (17/32), master nid005445 port 9999, GPUs 8, CUDA: True 0: using world size: 256, data-parallel-size: 256, tensor-model-parallel size: 1, pipeline-model-parallel size: 1 0: accumulate and all-reduce gradients in fp32 for bfloat16 data type. 0: using torch.bfloat16 for parameters ... 0: ------------------------ arguments ------------------------ 0: abort_on_unmet_fused_kernel_constraints ......... False 0: accumulate_allreduce_grads_in_fp32 .............. True 0: adam_beta1 ...................................... 0.9 0: adam_beta2 ...................................... 0.999 0: adam_eps ........................................ 1e-08 0: adlr_autoresume ................................. False 0: adlr_autoresume_interval ........................ 1000 0: apply_query_key_layer_scaling ................... True 0: apply_residual_connection_post_layernorm ........ False 0: attention_dropout ............................... 0.1 0: attention_softmax_in_fp32 ....................... False 0: bert_binary_head ................................ True 0: bert_load ....................................... None 0: bf16 ............................................ True 0: bias_dropout_fusion ............................. True 0: bias_gelu_fusion ................................ True 0: biencoder_projection_dim ........................ 0 0: biencoder_shared_query_context_model ............ False 0: block_data_path ................................. None 0: checkpoint_activations .......................... False 0: checkpoint_in_cpu ............................... False 0: checkpoint_num_layers ........................... 1 0: clip_grad ....................................... 1.0 0: codecarbon_dir .................................. None 0: consumed_train_samples .......................... 0 0: consumed_train_tokens ........................... 0 0: consumed_valid_samples .......................... 0 0: contigious_checkpointing ........................ False 0: cpu_optimizer ................................... False 0: cpu_torch_adam .................................. False 0: curriculum_learning ............................. False 0: data_impl ....................................... mmap 0: data_parallel_size .............................. 256 0: data_path ....................................... ['/scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document'] 0: dataloader_type ................................. single 0: DDP_impl ........................................ local 0: decoder_seq_length .............................. None 0: deepscale ....................................... False 0: deepscale_config ................................ None 0: deepspeed ....................................... True 0: deepspeed_activation_checkpointing .............. False 0: deepspeed_config ................................ ds_configs/2077320.json 0: deepspeed_mpi ................................... False 0: distribute_checkpointed_activations ............. False 0: distributed_backend ............................. nccl 0: embed_layernorm ................................. False 0: embedding_path .................................. None 0: encoder_seq_length .............................. 2048 0: eod_mask_loss ................................... False 0: eval_interval ................................... 1000 0: eval_iters ...................................... 1 0: eval_only ....................................... None 0: evidence_data_path .............................. None 0: exit_duration_in_mins ........................... None 0: exit_interval ................................... None 0: ffn_hidden_size ................................. 7168 0: finetune ........................................ False 0: fp16 ............................................ False 0: fp16_lm_cross_entropy ........................... False 0: fp32_residual_connection ........................ False 0: gigaflos_no_embeds .............................. 0 0: global_batch_size ............................... 256 0: glu_activation .................................. None 0: hidden_dropout .................................. 0.1 0: hidden_size ..................................... 1792 0: hysteresis ...................................... 2 0: ict_head_size ................................... None 0: ict_load ........................................ None 0: img_dim ......................................... 224 0: indexer_batch_size .............................. 128 0: indexer_log_interval ............................ 1000 0: inference ....................................... False 0: init_method_std ................................. 0.02 0: init_method_xavier_uniform ...................... False 0: initial_loss_scale .............................. 4294967296 0: kill_switch_path ................................ kill-switch-1b112b 0: kv_channels ..................................... 128 0: layer_norm_fusion ............................... True 0: layernorm_epsilon ............................... 1e-05 0: lazy_mpu_init ................................... None 0: load ............................................ checkpoints_1b112b 0: local_rank ...................................... None 0: log_batch_size_to_tensorboard ................... True 0: log_interval .................................... 10 0: log_learning_rate_to_tensorboard ................ True 0: log_level ....................................... None 0: log_level_replica ............................... None 0: log_loss_scale_to_tensorboard ................... True 0: log_num_zeros_in_grad ........................... False 0: log_params_norm ................................. False 0: log_path ........................................ None 0: log_timers_to_tensorboard ....................... True 0: log_validation_ppl_to_tensorboard ............... True 0: loss_on_targets_only ............................ False 0: loss_scale ...................................... None 0: loss_scale_window ............................... 1000 0: lr .............................................. 0.0002 0: lr_decay_iters .................................. None 0: lr_decay_samples ................................ 5936416 0: lr_decay_style .................................. cosine 0: lr_decay_tokens ................................. None 0: lr_warmup_fraction .............................. None 0: lr_warmup_iters ................................. 0 0: lr_warmup_samples ............................... 59364 0: make_vocab_size_divisible_by .................... 128 0: mask_prob ....................................... 0.15 0: masked_softmax_fusion ........................... True 0: max_position_embeddings ......................... 2048 0: mean_noise_span_length .......................... None 0: memory_centric_tiled_linear ..................... False 0: merge_file ...................................... gpt2/merges.txt 0: micro_batch_size ................................ 1 0: min_loss_scale .................................. 1.0 0: min_lr .......................................... 2e-05 0: mmap_warmup ..................................... False 0: no_load_optim ................................... None 0: no_load_rng ..................................... None 0: no_save_optim ................................... None 0: no_save_rng ..................................... None 0: noise_density ................................... None 0: num_attention_heads ............................. 14 0: num_channels .................................... 3 0: num_classes ..................................... 1000 0: num_layers ...................................... 26 0: num_layers_per_virtual_pipeline_stage ........... None 0: num_workers ..................................... 2 0: onnx_safe ....................................... None 0: openai_gelu ..................................... False 0: optimizer ....................................... adam 0: optimizer_fusion ................................ True 0: override_lr_scheduler ........................... False 0: pad_vocab_size_to ............................... None 0: params_dtype .................................... torch.bfloat16 0: partition_activations ........................... False 0: patch_dim ....................................... 16 0: pipeline_model_parallel_size .................... 1 0: position_embedding_type ......................... PositionEmbeddingType.absolute 0: pp_partition_method ............................. None 0: profile_backward ................................ False 0: query_in_block_prob ............................. 0.1 0: rampup_batch_size ............................... None 0: rank ............................................ 0 0: remote_device ................................... none 0: reset_attention_mask ............................ False 0: reset_position_ids .............................. False 0: retriever_report_topk_accuracies ................ [] 0: retriever_score_scaling ......................... False 0: retriever_seq_length ............................ 256 0: reweight_loss_based_on_position_frequency ....... False 0: sample_rate ..................................... 1.0 0: save ............................................ checkpoints_1b112b 0: save_interval ................................... 10000 0: scatter_gather_tensors_in_pipeline .............. True 0: scattered_embeddings ............................ False 0: seed ............................................ 1234 0: seq_length ...................................... 2048 0: sgd_momentum .................................... 0.9 0: short_seq_prob .................................. 0.1 0: skip_train_iteration_range ...................... None 0: split ........................................... 949,50,1 0: split_transformers .............................. False 0: sync_tp_duplicated_parameters ................... False 0: synchronize_each_layer .......................... False 0: tensor_model_parallel_size ...................... 1 0: tensorboard_dir ................................. tensorboard_1b112b 0: tensorboard_log_interval ........................ 1 0: tensorboard_queue_size .......................... 5 0: test_weighted_split_names ....................... None 0: test_weighted_split_paths ....................... None 0: test_weighted_split_paths_path .................. None 0: test_weighted_split_splits ...................... None 0: test_weighted_split_weights ..................... None 0: tile_factor ..................................... 1 0: titles_data_path ................................ None 0: tokenizer_name_or_path .......................... None 0: tokenizer_type .................................. GPT2BPETokenizer 0: train_iters ..................................... None 0: train_samples ................................... 5936416 0: train_tokens .................................... None 0: train_weighted_split_paths ...................... None 0: train_weighted_split_paths_path ................. None 0: universal_checkpoint ............................ False 0: use_bnb_optimizer ............................... False 0: use_checkpoint_lr_scheduler ..................... False 0: use_contiguous_buffers_in_ddp ................... True 0: use_cpu_initialization .......................... None 0: use_one_sent_docs ............................... False 0: use_pin_memory .................................. False 0: valid_num_workers ............................... 2 0: valid_weighted_split_names ...................... None 0: valid_weighted_split_paths ...................... None 0: valid_weighted_split_paths_path ................. None 0: valid_weighted_split_splits ..................... None 0: valid_weighted_split_weights .................... None 0: virtual_pipeline_model_parallel_size ............ None 0: vocab_extra_ids ................................. 0 0: vocab_file ...................................... gpt2/vocab.json 0: weight_decay .................................... 0.1 0: world_size ...................................... 256 0: zero_allgather_bucket_size ...................... 0.0 0: zero_contigious_gradients ....................... False 0: zero_reduce_bucket_size ......................... 0.0 0: zero_reduce_scatter ............................. False 0: zero_stage ...................................... 0 0: -------------------- end of arguments --------------------- 0: setting number of micro-batches to constant 1 0: > building GPT2BPETokenizer tokenizer ... 0: > padded vocab (size: 50257) with 47 dummy tokens (new size: 50304) 0: DeepSpeed general environment info: 0: torch install path ............... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch'] 0: torch version .................... 1.13.0+rocm5.2 0: torch cuda version ............... None 0: torch hip version ................ 5.2.21151-afdc89f8 0: nvcc version ..................... None 0: deepspeed install path ........... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/deepspeed'] 0: deepspeed info ................... 0.7.5, unknown, unknown 0: deepspeed wheel compiled w. ...... torch 1.13, hip 5.1 0: **** Git info for Megatron: git_hash=unknown git_branch=unknown **** 0: > initializing torch distributed ... 0: [2022-11-28 17:49:17,802] [INFO] [comm.py:633:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl 31: > setting tensorboard ... 0: > initializing tensor model parallel with size 1 0: > initializing pipeline model parallel with size 1 0: > setting random seeds to 1234 ... 0: > initializing model parallel cuda seeds on global rank 0, model parallel rank 0, and data parallel rank 0 with model parallel seed: 3952 and data parallel seed: 1234 0: > compiling dataset index builder ... 0: make: Entering directory '/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/data' 0: make: Nothing to be done for 'default'. 0: make: Leaving directory '/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/data' 0: >>> done with dataset index builder. Compilation time: 0.088 seconds 0: WARNING: constraints for invoking optimized fused softmax kernel are not met. We default back to unfused kernel invocations. 0: > compiling and loading fused kernels ... 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 87 0: ninja: no work to do. 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 63 0: ninja: no work to do. 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda_kernel.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_hip_kernel.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 67 0: ninja: no work to do. 0: >>> done with compiling and loading fused kernels. Compilation time: 29.543 seconds 0: time to initialize megatron (seconds): 41.524 0: [after megatron is initialized] datetime: 2022-11-28 17:50:01 0: building GPT model ... 0: [2022-11-28 17:50:01,632] [INFO] [utils.py:827:see_memory_usage] Before Building Model 0: [2022-11-28 17:50:01,632] [INFO] [utils.py:828:see_memory_usage] MA 0.0 GB Max_MA 0.0 GB CA 0.0 GB Max_CA 0 GB 0: [2022-11-28 17:50:01,633] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 174.32 GB, percent = 34.6% 0: SEED_LAYERS=False BASE_SEED=1234 SEED_FN=None 0: Using topology: {ProcessCoord(pipe=0, data=0, model=0): 0, ProcessCoord(pipe=0, data=1, model=0): 1, ProcessCoord(pipe=0, data=2, model=0): 2, ProcessCoord(pipe=0, data=3, model=0): 3, ProcessCoord(pipe=0, data=4, model=0): 4, ProcessCoord(pipe=0, data=5, model=0): 5, ProcessCoord(pipe=0, data=6, model=0): 6, ProcessCoord(pipe=0, data=7, model=0): 7, ProcessCoord(pipe=0, data=8, model=0): 8, ProcessCoord(pipe=0, data=9, model=0): 9, ProcessCoord(pipe=0, data=10, model=0): 10, ProcessCoord(pipe=0, data=11, model=0): 11, ProcessCoord(pipe=0, data=12, model=0): 12, ProcessCoord(pipe=0, data=13, model=0): 13, ProcessCoord(pipe=0, data=14, model=0): 14, ProcessCoord(pipe=0, data=15, model=0): 15, ProcessCoord(pipe=0, data=16, model=0): 16, ProcessCoord(pipe=0, data=17, model=0): 17, ProcessCoord(pipe=0, data=18, model=0): 18, ProcessCoord(pipe=0, data=19, model=0): 19, ProcessCoord(pipe=0, data=20, model=0): 20, ProcessCoord(pipe=0, data=21, model=0): 21, ProcessCoord(pipe=0, data=22, model=0): 22, ProcessCoord(pi 0: pe=0, data=23, model=0): 23, ProcessCoord(pipe=0, data=24, model=0): 24, ProcessCoord(pipe=0, data=25, model=0): 25, ProcessCoord(pipe=0, data=26, model=0): 26, ProcessCoord(pipe=0, data=27, model=0): 27, ProcessCoord(pipe=0, data=28, model=0): 28, ProcessCoord(pipe=0, data=29, model=0): 29, ProcessCoord(pipe=0, data=30, model=0): 30, ProcessCoord(pipe=0, data=31, model=0): 31, ProcessCoord(pipe=0, data=32, model=0): 32, ProcessCoord(pipe=0, data=33, model=0): 33, ProcessCoord(pipe=0, data=34, model=0): 34, ProcessCoord(pipe=0, data=35, model=0): 35, ProcessCoord(pipe=0, data=36, model=0): 36, ProcessCoord(pipe=0, data=37, model=0): 37, ProcessCoord(pipe=0, data=38, model=0): 38, ProcessCoord(pipe=0, data=39, model=0): 39, ProcessCoord(pipe=0, data=40, model=0): 40, ProcessCoord(pipe=0, data=41, model=0): 41, ProcessCoord(pipe=0, data=42, model=0): 42, ProcessCoord(pipe=0, data=43, model=0): 43, ProcessCoord(pipe=0, data=44, model=0): 44, ProcessCoord(pipe=0, data=45, model=0): 45, ProcessCoord(pipe=0, data=4 0: 6, model=0): 46, ProcessCoord(pipe=0, data=47, model=0): 47, ProcessCoord(pipe=0, data=48, model=0): 48, ProcessCoord(pipe=0, data=49, model=0): 49, ProcessCoord(pipe=0, data=50, model=0): 50, ProcessCoord(pipe=0, data=51, model=0): 51, ProcessCoord(pipe=0, data=52, model=0): 52, ProcessCoord(pipe=0, data=53, model=0): 53, ProcessCoord(pipe=0, data=54, model=0): 54, ProcessCoord(pipe=0, data=55, model=0): 55, ProcessCoord(pipe=0, data=56, model=0): 56, ProcessCoord(pipe=0, data=57, model=0): 57, ProcessCoord(pipe=0, data=58, model=0): 58, ProcessCoord(pipe=0, data=59, model=0): 59, ProcessCoord(pipe=0, data=60, model=0): 60, ProcessCoord(pipe=0, data=61, model=0): 61, ProcessCoord(pipe=0, data=62, model=0): 62, ProcessCoord(pipe=0, data=63, model=0): 63, ProcessCoord(pipe=0, data=64, model=0): 64, ProcessCoord(pipe=0, data=65, model=0): 65, ProcessCoord(pipe=0, data=66, model=0): 66, ProcessCoord(pipe=0, data=67, model=0): 67, ProcessCoord(pipe=0, data=68, model=0): 68, ProcessCoord(pipe=0, data=69, model=0): 0: 69, ProcessCoord(pipe=0, data=70, model=0): 70, ProcessCoord(pipe=0, data=71, model=0): 71, ProcessCoord(pipe=0, data=72, model=0): 72, ProcessCoord(pipe=0, data=73, model=0): 73, ProcessCoord(pipe=0, data=74, model=0): 74, ProcessCoord(pipe=0, data=75, model=0): 75, ProcessCoord(pipe=0, data=76, model=0): 76, ProcessCoord(pipe=0, data=77, model=0): 77, ProcessCoord(pipe=0, data=78, model=0): 78, ProcessCoord(pipe=0, data=79, model=0): 79, ProcessCoord(pipe=0, data=80, model=0): 80, ProcessCoord(pipe=0, data=81, model=0): 81, ProcessCoord(pipe=0, data=82, model=0): 82, ProcessCoord(pipe=0, data=83, model=0): 83, ProcessCoord(pipe=0, data=84, model=0): 84, ProcessCoord(pipe=0, data=85, model=0): 85, ProcessCoord(pipe=0, data=86, model=0): 86, ProcessCoord(pipe=0, data=87, model=0): 87, ProcessCoord(pipe=0, data=88, model=0): 88, ProcessCoord(pipe=0, data=89, model=0): 89, ProcessCoord(pipe=0, data=90, model=0): 90, ProcessCoord(pipe=0, data=91, model=0): 91, ProcessCoord(pipe=0, data=92, model=0): 92, Process 0: Coord(pipe=0, data=93, model=0): 93, ProcessCoord(pipe=0, data=94, model=0): 94, ProcessCoord(pipe=0, data=95, model=0): 95, ProcessCoord(pipe=0, data=96, model=0): 96, ProcessCoord(pipe=0, data=97, model=0): 97, ProcessCoord(pipe=0, data=98, model=0): 98, ProcessCoord(pipe=0, data=99, model=0): 99, ProcessCoord(pipe=0, data=100, model=0): 100, ProcessCoord(pipe=0, data=101, model=0): 101, ProcessCoord(pipe=0, data=102, model=0): 102, ProcessCoord(pipe=0, data=103, model=0): 103, ProcessCoord(pipe=0, data=104, model=0): 104, ProcessCoord(pipe=0, data=105, model=0): 105, ProcessCoord(pipe=0, data=106, model=0): 106, ProcessCoord(pipe=0, data=107, model=0): 107, ProcessCoord(pipe=0, data=108, model=0): 108, ProcessCoord(pipe=0, data=109, model=0): 109, ProcessCoord(pipe=0, data=110, model=0): 110, ProcessCoord(pipe=0, data=111, model=0): 111, ProcessCoord(pipe=0, data=112, model=0): 112, ProcessCoord(pipe=0, data=113, model=0): 113, ProcessCoord(pipe=0, data=114, model=0): 114, ProcessCoord(pipe=0, data=115, mo 0: del=0): 115, ProcessCoord(pipe=0, data=116, model=0): 116, ProcessCoord(pipe=0, data=117, model=0): 117, ProcessCoord(pipe=0, data=118, model=0): 118, ProcessCoord(pipe=0, data=119, model=0): 119, ProcessCoord(pipe=0, data=120, model=0): 120, ProcessCoord(pipe=0, data=121, model=0): 121, ProcessCoord(pipe=0, data=122, model=0): 122, ProcessCoord(pipe=0, data=123, model=0): 123, ProcessCoord(pipe=0, data=124, model=0): 124, ProcessCoord(pipe=0, data=125, model=0): 125, ProcessCoord(pipe=0, data=126, model=0): 126, ProcessCoord(pipe=0, data=127, model=0): 127, ProcessCoord(pipe=0, data=128, model=0): 128, ProcessCoord(pipe=0, data=129, model=0): 129, ProcessCoord(pipe=0, data=130, model=0): 130, ProcessCoord(pipe=0, data=131, model=0): 131, ProcessCoord(pipe=0, data=132, model=0): 132, ProcessCoord(pipe=0, data=133, model=0): 133, ProcessCoord(pipe=0, data=134, model=0): 134, ProcessCoord(pipe=0, data=135, model=0): 135, ProcessCoord(pipe=0, data=136, model=0): 136, ProcessCoord(pipe=0, data=137, model=0): 137, 0: ProcessCoord(pipe=0, data=138, model=0): 138, ProcessCoord(pipe=0, data=139, model=0): 139, ProcessCoord(pipe=0, data=140, model=0): 140, ProcessCoord(pipe=0, data=141, model=0): 141, ProcessCoord(pipe=0, data=142, model=0): 142, ProcessCoord(pipe=0, data=143, model=0): 143, ProcessCoord(pipe=0, data=144, model=0): 144, ProcessCoord(pipe=0, data=145, model=0): 145, ProcessCoord(pipe=0, data=146, model=0): 146, ProcessCoord(pipe=0, data=147, model=0): 147, ProcessCoord(pipe=0, data=148, model=0): 148, ProcessCoord(pipe=0, data=149, model=0): 149, ProcessCoord(pipe=0, data=150, model=0): 150, ProcessCoord(pipe=0, data=151, model=0): 151, ProcessCoord(pipe=0, data=152, model=0): 152, ProcessCoord(pipe=0, data=153, model=0): 153, ProcessCoord(pipe=0, data=154, model=0): 154, ProcessCoord(pipe=0, data=155, model=0): 155, ProcessCoord(pipe=0, data=156, model=0): 156, ProcessCoord(pipe=0, data=157, model=0): 157, ProcessCoord(pipe=0, data=158, model=0): 158, ProcessCoord(pipe=0, data=159, model=0): 159, ProcessCoor 0: d(pipe=0, data=160, model=0): 160, ProcessCoord(pipe=0, data=161, model=0): 161, ProcessCoord(pipe=0, data=162, model=0): 162, ProcessCoord(pipe=0, data=163, model=0): 163, ProcessCoord(pipe=0, data=164, model=0): 164, ProcessCoord(pipe=0, data=165, model=0): 165, ProcessCoord(pipe=0, data=166, model=0): 166, ProcessCoord(pipe=0, data=167, model=0): 167, ProcessCoord(pipe=0, data=168, model=0): 168, ProcessCoord(pipe=0, data=169, model=0): 169, ProcessCoord(pipe=0, data=170, model=0): 170, ProcessCoord(pipe=0, data=171, model=0): 171, ProcessCoord(pipe=0, data=172, model=0): 172, ProcessCoord(pipe=0, data=173, model=0): 173, ProcessCoord(pipe=0, data=174, model=0): 174, ProcessCoord(pipe=0, data=175, model=0): 175, ProcessCoord(pipe=0, data=176, model=0): 176, ProcessCoord(pipe=0, data=177, model=0): 177, ProcessCoord(pipe=0, data=178, model=0): 178, ProcessCoord(pipe=0, data=179, model=0): 179, ProcessCoord(pipe=0, data=180, model=0): 180, ProcessCoord(pipe=0, data=181, model=0): 181, ProcessCoord(pipe=0, da 0: ta=182, model=0): 182, ProcessCoord(pipe=0, data=183, model=0): 183, ProcessCoord(pipe=0, data=184, model=0): 184, ProcessCoord(pipe=0, data=185, model=0): 185, ProcessCoord(pipe=0, data=186, model=0): 186, ProcessCoord(pipe=0, data=187, model=0): 187, ProcessCoord(pipe=0, data=188, model=0): 188, ProcessCoord(pipe=0, data=189, model=0): 189, ProcessCoord(pipe=0, data=190, model=0): 190, ProcessCoord(pipe=0, data=191, model=0): 191, ProcessCoord(pipe=0, data=192, model=0): 192, ProcessCoord(pipe=0, data=193, model=0): 193, ProcessCoord(pipe=0, data=194, model=0): 194, ProcessCoord(pipe=0, data=195, model=0): 195, ProcessCoord(pipe=0, data=196, model=0): 196, ProcessCoord(pipe=0, data=197, model=0): 197, ProcessCoord(pipe=0, data=198, model=0): 198, ProcessCoord(pipe=0, data=199, model=0): 199, ProcessCoord(pipe=0, data=200, model=0): 200, ProcessCoord(pipe=0, data=201, model=0): 201, ProcessCoord(pipe=0, data=202, model=0): 202, ProcessCoord(pipe=0, data=203, model=0): 203, ProcessCoord(pipe=0, data=204, mode 0: l=0): 204, ProcessCoord(pipe=0, data=205, model=0): 205, ProcessCoord(pipe=0, data=206, model=0): 206, ProcessCoord(pipe=0, data=207, model=0): 207, ProcessCoord(pipe=0, data=208, model=0): 208, ProcessCoord(pipe=0, data=209, model=0): 209, ProcessCoord(pipe=0, data=210, model=0): 210, ProcessCoord(pipe=0, data=211, model=0): 211, ProcessCoord(pipe=0, data=212, model=0): 212, ProcessCoord(pipe=0, data=213, model=0): 213, ProcessCoord(pipe=0, data=214, model=0): 214, ProcessCoord(pipe=0, data=215, model=0): 215, ProcessCoord(pipe=0, data=216, model=0): 216, ProcessCoord(pipe=0, data=217, model=0): 217, ProcessCoord(pipe=0, data=218, model=0): 218, ProcessCoord(pipe=0, data=219, model=0): 219, ProcessCoord(pipe=0, data=220, model=0): 220, ProcessCoord(pipe=0, data=221, model=0): 221, ProcessCoord(pipe=0, data=222, model=0): 222, ProcessCoord(pipe=0, data=223, model=0): 223, ProcessCoord(pipe=0, data=224, model=0): 224, ProcessCoord(pipe=0, data=225, model=0): 225, ProcessCoord(pipe=0, data=226, model=0): 226, P 0: rocessCoord(pipe=0, data=227, model=0): 227, ProcessCoord(pipe=0, data=228, model=0): 228, ProcessCoord(pipe=0, data=229, model=0): 229, ProcessCoord(pipe=0, data=230, model=0): 230, ProcessCoord(pipe=0, data=231, model=0): 231, ProcessCoord(pipe=0, data=232, model=0): 232, ProcessCoord(pipe=0, data=233, model=0): 233, ProcessCoord(pipe=0, data=234, model=0): 234, ProcessCoord(pipe=0, data=235, model=0): 235, ProcessCoord(pipe=0, data=236, model=0): 236, ProcessCoord(pipe=0, data=237, model=0): 237, ProcessCoord(pipe=0, data=238, model=0): 238, ProcessCoord(pipe=0, data=239, model=0): 239, ProcessCoord(pipe=0, data=240, model=0): 240, ProcessCoord(pipe=0, data=241, model=0): 241, ProcessCoord(pipe=0, data=242, model=0): 242, ProcessCoord(pipe=0, data=243, model=0): 243, ProcessCoord(pipe=0, data=244, model=0): 244, ProcessCoord(pipe=0, data=245, model=0): 245, ProcessCoord(pipe=0, data=246, model=0): 246, ProcessCoord(pipe=0, data=247, model=0): 247, ProcessCoord(pipe=0, data=248, model=0): 248, ProcessCoord( 0: pipe=0, data=249, model=0): 249, ProcessCoord(pipe=0, data=250, model=0): 250, ProcessCoord(pipe=0, data=251, model=0): 251, ProcessCoord(pipe=0, data=252, model=0): 252, ProcessCoord(pipe=0, data=253, model=0): 253, ProcessCoord(pipe=0, data=254, model=0): 254, ProcessCoord(pipe=0, data=255, model=0): 255} 0: [2022-11-28 17:50:10,675] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer 0: stage=0 layers=33 0: 0: _to_float16 0: 1: EmbeddingPipe 0: 2: 0: 3: ParallelTransformerLayerPipe 0: 4: ParallelTransformerLayerPipe 0: 5: ParallelTransformerLayerPipe 0: 6: ParallelTransformerLayerPipe 0: 7: ParallelTransformerLayerPipe 0: 8: ParallelTransformerLayerPipe 0: 9: ParallelTransformerLayerPipe 0: 10: ParallelTransformerLayerPipe 0: 11: ParallelTransformerLayerPipe 0: 12: ParallelTransformerLayerPipe 0: 13: ParallelTransformerLayerPipe 0: 14: ParallelTransformerLayerPipe 0: 15: ParallelTransformerLayerPipe 0: 16: ParallelTransformerLayerPipe 0: 17: ParallelTransformerLayerPipe 0: 18: ParallelTransformerLayerPipe 0: 19: ParallelTransformerLayerPipe 0: 20: ParallelTransformerLayerPipe 0: 21: ParallelTransformerLayerPipe 0: 22: ParallelTransformerLayerPipe 0: 23: ParallelTransformerLayerPipe 0: 24: ParallelTransformerLayerPipe 0: 25: ParallelTransformerLayerPipe 0: 26: ParallelTransformerLayerPipe 0: 27: ParallelTransformerLayerPipe 0: 28: ParallelTransformerLayerPipe 0: 29: undo 0: 30: MixedFusedLayerNorm 0: 31: EmbeddingPipe 0: 32: float16_to_fp32 0: loss: CrossEntropy 0: [2022-11-28 17:50:11,335] [INFO] [utils.py:827:see_memory_usage] After Building Model 0: [2022-11-28 17:50:11,335] [INFO] [utils.py:828:see_memory_usage] MA 2.05 GB Max_MA 2.05 GB CA 2.19 GB Max_CA 2 GB 0: [2022-11-28 17:50:11,336] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 174.37 GB, percent = 34.6% 0: setting training iterations to 23189 0: > learning rate decay style: cosine 0: DeepSpeed is enabled. 0: [2022-11-28 17:50:11,338] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown 0: [2022-11-28 17:50:36,298] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False 0: [2022-11-28 17:50:36,298] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer 0: [2022-11-28 17:50:36,298] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer 0: [2022-11-28 17:50:36,310] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam 0: [2022-11-28 17:50:36,311] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer 0: [2022-11-28 17:50:36,354] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer 0: [2022-11-28 17:50:36,354] [INFO] [utils.py:828:see_memory_usage] MA 2.04 GB Max_MA 2.06 GB CA 2.19 GB Max_CA 2 GB 0: [2022-11-28 17:50:36,355] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 175.07 GB, percent = 34.8% 0: ninja: no work to do. 0: Time to load utils op: 0.22571134567260742 seconds 0: [2022-11-28 17:50:36,627] [INFO] [utils.py:827:see_memory_usage] before initializing group 0 0: [2022-11-28 17:50:36,627] [INFO] [utils.py:828:see_memory_usage] MA 2.04 GB Max_MA 2.04 GB CA 2.19 GB Max_CA 2 GB 0: [2022-11-28 17:50:36,627] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 175.07 GB, percent = 34.8% 18: ninja: no work to do. 8: Time to load utils op: 0.2517712116241455 seconds 8: Time to load utils op: 0.2517838478088379 seconds 8: Time to load utils op: 0.25177955627441406 seconds 8: Time to load utils op: 0.25177741050720215 secondsTime to load utils op: 0.25179553031921387 seconds 8: 8: Time to load utils op: 0.2518181800842285 secondsTime to load utils op: 0.251798152923584 seconds 8: 8: Time to load utils op: 0.251819372177124 seconds 30: Time to load utils op: 0.22820591926574707 seconds 30: Time to load utils op: 0.3470304012298584 seconds 30: Time to load utils op: 0.22710132598876953 secondsTime to load 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16: Time to load utils op: 0.0013165473937988281 seconds 17: Time to load utils op: 0.0013172626495361328 seconds 17: Time to load utils op: 0.0012640953063964844 seconds 17: Time to load utils op: 0.0012938976287841797 secondsTime to load utils op: 0.0013585090637207031 secondsTime to load utils op: 0.0012984275817871094 secondsTime to load utils op: 0.0013170242309570312 seconds 17: 17: 17: 17: Time to load utils op: 0.0013592243194580078 seconds 29: Time to load utils op: 0.0005438327789306641 seconds 29: Time to load utils op: 0.0005428791046142578 seconds 29: Time to load utils op: 0.0005285739898681641 seconds 29: Time to load utils op: 0.0005512237548828125 seconds 29: Time to load utils op: 0.0005533695220947266 seconds 29: Time to load utils op: 0.0006048679351806641 seconds 29: Time to load utils op: 0.0005557537078857422 seconds 29: Time to load utils op: 0.0006074905395507812 seconds 8: Time to load utils op: 0.001201629638671875 seconds 8: Time to load utils op: 0.0013279914855957031 seconds 8: Time to load utils op: 0.0014836788177490234 seconds 8: Time to load utils op: 0.0015196800231933594 seconds 8: Time to load utils op: 0.0016541481018066406 seconds 8: Time to load utils op: 0.0015575885772705078 seconds 8: Time to load utils op: 0.0016486644744873047 seconds 8: Time to load utils op: 0.0015676021575927734 seconds 0: [2022-11-28 17:50:37,425] [INFO] [utils.py:827:see_memory_usage] after initializing group 1 0: [2022-11-28 17:50:37,426] [INFO] [utils.py:828:see_memory_usage] MA 6.14 GB Max_MA 6.14 GB CA 8.31 GB Max_CA 8 GB 0: [2022-11-28 17:50:37,426] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 175.22 GB, percent = 34.8% 0: [2022-11-28 17:50:37,457] [INFO] [utils.py:827:see_memory_usage] before initializing group 2 0: [2022-11-28 17:50:37,458] [INFO] [utils.py:828:see_memory_usage] MA 6.14 GB Max_MA 6.14 GB CA 8.31 GB Max_CA 8 GB 0: [2022-11-28 17:50:37,458] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 175.23 GB, percent = 34.8% 0: [2022-11-28 17:50:37,494] [INFO] [utils.py:827:see_memory_usage] after initializing group 2 0: [2022-11-28 17:50:37,495] [INFO] [utils.py:828:see_memory_usage] MA 6.14 GB Max_MA 6.14 GB CA 8.31 GB Max_CA 8 GB 0: [2022-11-28 17:50:37,495] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 175.23 GB, percent = 34.8% 0: [2022-11-28 17:50:37,526] [INFO] [utils.py:827:see_memory_usage] before initialize_optimizer 0: [2022-11-28 17:50:37,527] [INFO] [utils.py:828:see_memory_usage] MA 6.14 GB Max_MA 6.14 GB CA 8.31 GB Max_CA 8 GB 0: [2022-11-28 17:50:37,527] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 175.23 GB, percent = 34.8% 0: [2022-11-28 17:50:37,563] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer 0: [2022-11-28 17:50:37,564] [INFO] [utils.py:828:see_memory_usage] MA 6.17 GB Max_MA 6.17 GB CA 8.31 GB Max_CA 8 GB 0: [2022-11-28 17:50:37,564] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 175.23 GB, percent = 34.8% 0: [2022-11-28 17:50:37,596] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer 0: [2022-11-28 17:50:37,597] [INFO] [utils.py:828:see_memory_usage] MA 6.17 GB Max_MA 6.17 GB CA 8.31 GB Max_CA 8 GB 0: [2022-11-28 17:50:37,597] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 175.23 GB, percent = 34.8% 0: [2022-11-28 17:50:37,597] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam 0: [2022-11-28 17:50:37,597] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler 0: [2022-11-28 17:50:37,597] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = 0: [2022-11-28 17:50:37,597] [INFO] [logging.py:68:log_dist] [Rank 0] step=0, skipped=0, lr=[0.0, 0.0, 0.0], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 0: [2022-11-28 17:50:37,598] [INFO] [config.py:1007:print] DeepSpeedEngine configuration: 0: [2022-11-28 17:50:37,598] [INFO] [config.py:1011:print] activation_checkpointing_config { 0: "partition_activations": false, 0: "contiguous_memory_optimization": false, 0: "cpu_checkpointing": false, 0: "number_checkpoints": null, 0: "synchronize_checkpoint_boundary": false, 0: "profile": false 0: } 0: [2022-11-28 17:50:37,598] [INFO] [config.py:1011:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True} 0: [2022-11-28 17:50:37,598] [INFO] [config.py:1011:print] amp_enabled .................. False 0: [2022-11-28 17:50:37,598] [INFO] [config.py:1011:print] amp_params ................... False 0: [2022-11-28 17:50:37,598] [INFO] [config.py:1011:print] autotuning_config ............ { 0: "enabled": false, 0: "start_step": null, 0: "end_step": null, 0: "metric_path": null, 0: "arg_mappings": null, 0: "metric": "throughput", 0: "model_info": null, 0: "results_dir": "/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/autotuning_results", 0: "exps_dir": "/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/autotuning_exps", 0: "overwrite": true, 0: "fast": true, 0: "start_profile_step": 3, 0: "end_profile_step": 5, 0: "tuner_type": "gridsearch", 0: "tuner_early_stopping": 5, 0: "tuner_num_trials": 50, 0: "model_info_path": null, 0: "mp_size": 1, 0: "max_train_batch_size": null, 0: "min_train_batch_size": 1, 0: "max_train_micro_batch_size_per_gpu": 1.024000e+03, 0: "min_train_micro_batch_size_per_gpu": 1, 0: "num_tuning_micro_batch_sizes": 3 0: } 0: [2022-11-28 17:50:37,598] [INFO] [config.py:1011:print] bfloat16_enabled ............. True 0: [2022-11-28 17:50:37,598] [INFO] [config.py:1011:print] checkpoint_parallel_write_pipeline False 0: [2022-11-28 17:50:37,598] [INFO] [config.py:1011:print] checkpoint_tag_validation_enabled True 0: [2022-11-28 17:50:37,598] [INFO] [config.py:1011:print] checkpoint_tag_validation_fail False 0: [2022-11-28 17:50:37,598] [INFO] [config.py:1011:print] comms_config ................. 0: [2022-11-28 17:50:37,598] [INFO] [config.py:1011:print] communication_data_type ...... None 0: [2022-11-28 17:50:37,598] [INFO] [config.py:1011:print] compression_config ........... {'weight_quantization': {'shared_parameters': {'enabled': False, 'quantizer_kernel': False, 'schedule_offset': 0, 'quantize_groups': 1, 'quantize_verbose': False, 'quantization_type': 'symmetric', 'quantize_weight_in_forward': False, 'rounding': 'nearest', 'fp16_mixed_quantize': False, 'quantize_change_ratio': 0.001}, 'different_groups': {}}, 'activation_quantization': {'shared_parameters': {'enabled': False, 'quantization_type': 'symmetric', 'range_calibration': 'dynamic', 'schedule_offset': 1000}, 'different_groups': {}}, 'sparse_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'row_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'head_pruning': {'shared_parameters': {'enabled': False, 'method': 'topk', 'schedule_offset': 1000}, 'different_groups': {}}, 'channel_pruning': {'shared_pa 0: rameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'layer_reduction': {'enabled': False}} 0: [2022-11-28 17:50:37,598] [INFO] [config.py:1011:print] curriculum_enabled ........... False 0: [2022-11-28 17:50:37,598] [INFO] [config.py:1011:print] curriculum_params ............ False 0: [2022-11-28 17:50:37,598] [INFO] [config.py:1011:print] dataloader_drop_last ......... False 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] disable_allgather ............ False 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] dump_state ................... False 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] dynamic_loss_scale_args ...... None 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] eigenvalue_enabled ........... False 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] eigenvalue_gas_boundary_resolution 1 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] eigenvalue_layer_name ........ bert.encoder.layer 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] eigenvalue_layer_num ......... 0 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] eigenvalue_max_iter .......... 100 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] eigenvalue_stability ......... 1e-06 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] eigenvalue_tol ............... 0.01 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] eigenvalue_verbose ........... False 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] elasticity_enabled ........... False 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] flops_profiler_config ........ { 0: "enabled": false, 0: "profile_step": 1, 0: "module_depth": -1, 0: "top_modules": 1, 0: "detailed": true, 0: "output_file": null 0: } 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] fp16_auto_cast ............... None 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] fp16_enabled ................. False 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] fp16_master_weights_and_gradients False 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] global_rank .................. 0 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] gradient_accumulation_steps .. 1 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] gradient_clipping ............ 1.0 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] gradient_predivide_factor .... 1.0 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] initial_dynamic_scale ........ 1 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] load_universal_checkpoint .... False 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] loss_scale ................... 1.0 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] memory_breakdown ............. False 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] monitor_config ............... 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] nebula_config ................ { 0: "enabled": false, 0: "persistent_storage_path": null, 0: "persistent_time_interval": 100, 0: "num_of_version_in_retention": 2, 0: "enable_nebula_load": true, 0: "load_path": null 0: } 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] optimizer_legacy_fusion ...... False 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] optimizer_name ............... None 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] optimizer_params ............. None 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] pld_enabled .................. False 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] pld_params ................... False 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] prescale_gradients ........... False 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] scheduler_name ............... None 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] scheduler_params ............. None 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] sparse_attention ............. None 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] sparse_gradients_enabled ..... False 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] steps_per_print .............. 2000 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] train_batch_size ............. 256 0: [2022-11-28 17:50:37,599] [INFO] [config.py:1011:print] train_micro_batch_size_per_gpu 1 0: [2022-11-28 17:50:37,600] [INFO] [config.py:1011:print] use_node_local_storage ....... False 0: [2022-11-28 17:50:37,600] [INFO] [config.py:1011:print] wall_clock_breakdown ......... False 0: [2022-11-28 17:50:37,600] [INFO] [config.py:1011:print] world_size ................... 256 0: [2022-11-28 17:50:37,600] [INFO] [config.py:1011:print] zero_allow_untested_optimizer False 0: [2022-11-28 17:50:37,600] [INFO] [config.py:1011:print] zero_config .................. stage=0 contiguous_gradients=True reduce_scatter=True reduce_bucket_size=500000000 allgather_partitions=True allgather_bucket_size=500000000 overlap_comm=False load_from_fp32_weights=True elastic_checkpoint=False offload_param=None offload_optimizer=None sub_group_size=1000000000 cpu_offload_param=None cpu_offload_use_pin_memory=None cpu_offload=None prefetch_bucket_size=50000000 param_persistence_threshold=100000 model_persistence_threshold=9223372036854775807 max_live_parameters=1000000000 max_reuse_distance=1000000000 gather_16bit_weights_on_model_save=False stage3_gather_fp16_weights_on_model_save=False ignore_unused_parameters=True legacy_stage1=False round_robin_gradients=False 0: [2022-11-28 17:50:37,600] [INFO] [config.py:1011:print] zero_enabled ................. False 0: [2022-11-28 17:50:37,600] [INFO] [config.py:1011:print] zero_optimization_stage ...... 0 0: [2022-11-28 17:50:37,600] [INFO] [config.py:996:print_user_config] json = { 0: "train_micro_batch_size_per_gpu": 1, 0: "train_batch_size": 256, 0: "gradient_clipping": 1.0, 0: "zero_optimization": { 0: "stage": 0 0: }, 0: "bf16": { 0: "enabled": true 0: }, 0: "steps_per_print": 2.000000e+03, 0: "wall_clock_breakdown": false 0: } 0: Time to load utils op: 0.00046563148498535156 seconds 0: [2022-11-28 17:50:37,600] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=1 micro_batch_size=1 0: [2022-11-28 17:50:37,611] [INFO] [engine.py:145:__init__] RANK=0 STAGE=0 LAYERS=33 [0, 33) STAGE_PARAMS=1096338432 (1096.338M) TOTAL_PARAMS=1096338432 (1096.338M) UNIQUE_PARAMS=1096338432 (1096.338M) 0: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: WARNING: could not find the metadata file checkpoints_1b112b 16: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: will not load any checkpoints and will start from random 0: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2022-11-28 17:50:37,617] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2022-11-28 17:50:37,618] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: time (ms) | load-checkpoint: 8.32 0: estimated model parameters: 1.096338432 0: estimated model parameters without embeddings: 1.002523648 0: [after model, optimizer, and learning rate scheduler are built] datetime: 2022-11-28 17:50:38 0: > building train, validation, and test datasets ... 0: > datasets target sizes (minimum size): 0: train: 5936416 0: validation: 6144 0: test: 256 0: > building train, validation, and test datasets for GPT ... 0: > building dataset index ... 0: reading sizes... 0: reading pointers... 0: reading document index... 0: creating numpy buffer of mmap... 0: creating memory view of numpy buffer... 0: > finished creating indexed dataset in 0.009601 seconds 0: number of documents: 210604984 0: > dataset split: 0: train: 0: document indices in [0, 199864130) total of 199864130 documents 0: validation: 0: document indices in [199864130, 210394379) total of 10530249 documents 0: test: 0: document indices in [210394379, 210604984) total of 210605 documents 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_5936416ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_5936416ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_5936416ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.086 seconds 0: total number of samples: 173377817 0: total number of epochs: 1 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_6144ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_6144ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_6144ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.091 seconds 0: total number of samples: 9118345 0: total number of epochs: 1 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_256ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_256ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_test_indexmap_256ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.071 seconds 0: total number of samples: 182928 0: total number of epochs: 1 0: > finished creating GPT datasets ... 0: [after dataloaders are built] datetime: 2022-11-28 17:51:05 0: done with setup ... 0: training ... 0: Number of parameters: [tensor rank - pipeline rank] w/ and w/o embeddings: 31: time (ms) | model-and-optimizer-setup: 36697.61 | train/valid/test-data-iterators-setup: 27313.68 0: [000-000] 1.0963B / 1.0025B 0: [before the start of training step] datetime: 2022-11-28 17:51:05 0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 8825.99951171875 | max allocated: 22728.953125 | reserved: 24902.0 | max reserved: 24902.0 31: iteration 10/ 23189 | consumed samples: 2560 | consumed tokens: 5242880 | elapsed time per iteration (s): 3.61 | learning rate: 8.625E-06 | global batch size: 256 | lm loss: 1.002721E+01 | grad norm: 7.724 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 70.958 | TFLOPs: 4.29 | 31: iteration 20/ 23189 | consumed samples: 5120 | consumed tokens: 10485760 | elapsed time per iteration (s): 0.82 | learning rate: 1.725E-05 | global batch size: 256 | lm loss: 8.604308E+00 | grad norm: 3.718 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.539 | TFLOPs: 18.85 | 31: iteration 30/ 23189 | consumed samples: 7680 | consumed tokens: 15728640 | elapsed time per iteration (s): 0.83 | learning rate: 2.587E-05 | global batch size: 256 | lm loss: 8.210817E+00 | grad norm: 4.800 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 306.702 | TFLOPs: 18.55 | 31: iteration 40/ 23189 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 0.84 | learning rate: 3.450E-05 | global batch size: 256 | lm loss: 7.731887E+00 | grad norm: 2.042 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.331 | TFLOPs: 18.47 | 31: iteration 50/ 23189 | consumed samples: 12800 | consumed tokens: 26214400 | elapsed time per iteration (s): 0.81 | learning rate: 4.312E-05 | global batch size: 256 | lm loss: 7.262386E+00 | grad norm: 3.662 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.247 | TFLOPs: 19.19 | 31: iteration 60/ 23189 | consumed samples: 15360 | consumed tokens: 31457280 | elapsed time per iteration (s): 0.81 | learning rate: 5.175E-05 | global batch size: 256 | lm loss: 6.993199E+00 | grad norm: 2.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.953 | TFLOPs: 19.05 | 31: iteration 70/ 23189 | consumed samples: 17920 | consumed tokens: 36700160 | elapsed time per iteration (s): 0.82 | learning rate: 6.037E-05 | global batch size: 256 | lm loss: 6.762922E+00 | grad norm: 1.913 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.055 | TFLOPs: 18.82 | 31: iteration 80/ 23189 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 0.83 | learning rate: 6.900E-05 | global batch size: 256 | lm loss: 6.559048E+00 | grad norm: 2.071 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.630 | TFLOPs: 18.61 | 31: iteration 90/ 23189 | consumed samples: 23040 | consumed tokens: 47185920 | elapsed time per iteration (s): 0.79 | learning rate: 7.762E-05 | global batch size: 256 | lm loss: 6.437731E+00 | grad norm: 2.616 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.986 | TFLOPs: 19.72 | 31: iteration 100/ 23189 | consumed samples: 25600 | consumed tokens: 52428800 | elapsed time per iteration (s): 0.78 | learning rate: 8.625E-05 | global batch size: 256 | lm loss: 6.264903E+00 | grad norm: 1.722 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.583 | TFLOPs: 19.94 | 31: iteration 110/ 23189 | consumed samples: 28160 | consumed tokens: 57671680 | elapsed time per iteration (s): 0.81 | learning rate: 9.487E-05 | global batch size: 256 | lm loss: 6.153069E+00 | grad norm: 1.825 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.987 | TFLOPs: 19.18 | 31: iteration 120/ 23189 | consumed samples: 30720 | consumed tokens: 62914560 | elapsed time per iteration (s): 0.80 | learning rate: 1.035E-04 | global batch size: 256 | lm loss: 6.043409E+00 | grad norm: 1.823 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.550 | TFLOPs: 19.39 | 31: iteration 130/ 23189 | consumed samples: 33280 | consumed tokens: 68157440 | elapsed time per iteration (s): 0.75 | learning rate: 1.121E-04 | global batch size: 256 | lm loss: 5.917496E+00 | grad norm: 1.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.911 | TFLOPs: 20.75 | 31: iteration 140/ 23189 | consumed samples: 35840 | consumed tokens: 73400320 | elapsed time per iteration (s): 0.72 | learning rate: 1.207E-04 | global batch size: 256 | lm loss: 5.844088E+00 | grad norm: 1.668 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.549 | TFLOPs: 21.51 | 31: iteration 150/ 23189 | consumed samples: 38400 | consumed tokens: 78643200 | elapsed time per iteration (s): 0.78 | learning rate: 1.294E-04 | global batch size: 256 | lm loss: 5.783845E+00 | grad norm: 1.954 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.883 | TFLOPs: 19.84 | 31: iteration 160/ 23189 | consumed samples: 40960 | consumed tokens: 83886080 | elapsed time per iteration (s): 0.78 | learning rate: 1.380E-04 | global batch size: 256 | lm loss: 5.665878E+00 | grad norm: 1.086 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.374 | TFLOPs: 19.93 | 31: iteration 170/ 23189 | consumed samples: 43520 | consumed tokens: 89128960 | elapsed time per iteration (s): 0.75 | learning rate: 1.466E-04 | global batch size: 256 | lm loss: 5.663290E+00 | grad norm: 1.106 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.712 | TFLOPs: 20.67 | 31: iteration 180/ 23189 | consumed samples: 46080 | consumed tokens: 94371840 | elapsed time per iteration (s): 0.78 | learning rate: 1.552E-04 | global batch size: 256 | lm loss: 5.563989E+00 | grad norm: 1.127 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.916 | TFLOPs: 19.90 | 31: iteration 190/ 23189 | consumed samples: 48640 | consumed tokens: 99614720 | elapsed time per iteration (s): 0.78 | learning rate: 1.639E-04 | global batch size: 256 | lm loss: 5.522831E+00 | grad norm: 0.897 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.896 | TFLOPs: 19.90 | 31: iteration 200/ 23189 | consumed samples: 51200 | consumed tokens: 104857600 | elapsed time per iteration (s): 0.75 | learning rate: 1.725E-04 | global batch size: 256 | lm loss: 5.448932E+00 | grad norm: 0.933 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.124 | TFLOPs: 20.76 | 31: iteration 210/ 23189 | consumed samples: 53760 | consumed tokens: 110100480 | elapsed time per iteration (s): 0.79 | learning rate: 1.811E-04 | global batch size: 256 | lm loss: 5.428216E+00 | grad norm: 1.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.055 | TFLOPs: 19.48 | 31: iteration 220/ 23189 | consumed samples: 56320 | consumed tokens: 115343360 | elapsed time per iteration (s): 0.79 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 5.360334E+00 | grad norm: 1.106 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.516 | TFLOPs: 19.63 | 31: iteration 230/ 23189 | consumed samples: 58880 | consumed tokens: 120586240 | elapsed time per iteration (s): 0.78 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 5.322010E+00 | grad norm: 0.601 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.127 | TFLOPs: 19.91 | 31: iteration 240/ 23189 | consumed samples: 61440 | consumed tokens: 125829120 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.306562E+00 | grad norm: 0.868 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.206 | TFLOPs: 20.04 | 31: iteration 250/ 23189 | consumed samples: 64000 | consumed tokens: 131072000 | elapsed time per iteration (s): 0.75 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.229533E+00 | grad norm: 0.892 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.884 | TFLOPs: 20.74 | 31: iteration 260/ 23189 | consumed samples: 66560 | consumed tokens: 136314880 | elapsed time per iteration (s): 0.75 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.208766E+00 | grad norm: 0.786 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.180 | TFLOPs: 20.70 | 31: iteration 270/ 23189 | consumed samples: 69120 | consumed tokens: 141557760 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.131775E+00 | grad norm: 0.575 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.637 | TFLOPs: 20.12 | 31: iteration 280/ 23189 | consumed samples: 71680 | consumed tokens: 146800640 | elapsed time per iteration (s): 0.81 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.096420E+00 | grad norm: 0.589 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.667 | TFLOPs: 19.22 | 31: iteration 290/ 23189 | consumed samples: 74240 | consumed tokens: 152043520 | elapsed time per iteration (s): 0.80 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.058989E+00 | grad norm: 0.729 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.149 | TFLOPs: 19.37 | 31: iteration 300/ 23189 | consumed samples: 76800 | consumed tokens: 157286400 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.994863E+00 | grad norm: 0.714 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.761 | TFLOPs: 20.01 | 31: iteration 310/ 23189 | consumed samples: 79360 | consumed tokens: 162529280 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.997070E+00 | grad norm: 0.635 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.444 | TFLOPs: 19.81 | 31: iteration 320/ 23189 | consumed samples: 81920 | consumed tokens: 167772160 | elapsed time per iteration (s): 0.81 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.959697E+00 | grad norm: 0.597 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.002 | TFLOPs: 19.18 | 31: iteration 330/ 23189 | consumed samples: 84480 | consumed tokens: 173015040 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.935691E+00 | grad norm: 0.981 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.709 | TFLOPs: 20.49 | 31: iteration 340/ 23189 | consumed samples: 87040 | consumed tokens: 178257920 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.918494E+00 | grad norm: 0.530 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.361 | TFLOPs: 19.80 | 31: iteration 350/ 23189 | consumed samples: 89600 | consumed tokens: 183500800 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.850604E+00 | grad norm: 0.715 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.773 | TFLOPs: 20.13 | 31: iteration 360/ 23189 | consumed samples: 92160 | consumed tokens: 188743680 | elapsed time per iteration (s): 0.75 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.794233E+00 | grad norm: 0.732 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.523 | TFLOPs: 20.54 | 31: iteration 370/ 23189 | consumed samples: 94720 | consumed tokens: 193986560 | elapsed time per iteration (s): 0.79 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.748697E+00 | grad norm: 0.790 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.668 | TFLOPs: 19.58 | 31: iteration 380/ 23189 | consumed samples: 97280 | consumed tokens: 199229440 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.732025E+00 | grad norm: 0.483 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.381 | TFLOPs: 20.23 | 31: iteration 390/ 23189 | consumed samples: 99840 | consumed tokens: 204472320 | elapsed time per iteration (s): 0.79 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.670578E+00 | grad norm: 0.792 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.496 | TFLOPs: 19.51 | 31: iteration 400/ 23189 | consumed samples: 102400 | consumed tokens: 209715200 | elapsed time per iteration (s): 0.79 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.698924E+00 | grad norm: 0.660 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.711 | TFLOPs: 19.52 | 31: iteration 410/ 23189 | consumed samples: 104960 | consumed tokens: 214958080 | elapsed time per iteration (s): 0.79 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.641752E+00 | grad norm: 0.777 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.129 | TFLOPs: 19.67 | 31: iteration 420/ 23189 | consumed samples: 107520 | consumed tokens: 220200960 | elapsed time per iteration (s): 0.80 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.666486E+00 | grad norm: 0.798 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.092 | TFLOPs: 19.36 | 31: iteration 430/ 23189 | consumed samples: 110080 | consumed tokens: 225443840 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.572823E+00 | grad norm: 0.632 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.282 | TFLOPs: 20.34 | 31: iteration 440/ 23189 | consumed samples: 112640 | consumed tokens: 230686720 | elapsed time per iteration (s): 0.81 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.513407E+00 | grad norm: 0.776 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.309 | TFLOPs: 19.20 | 31: iteration 450/ 23189 | consumed samples: 115200 | consumed tokens: 235929600 | elapsed time per iteration (s): 0.81 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.513902E+00 | grad norm: 0.803 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.892 | TFLOPs: 19.17 | 31: iteration 460/ 23189 | consumed samples: 117760 | consumed tokens: 241172480 | elapsed time per iteration (s): 0.83 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.495522E+00 | grad norm: 0.667 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 306.911 | TFLOPs: 18.57 | 31: iteration 470/ 23189 | consumed samples: 120320 | consumed tokens: 246415360 | elapsed time per iteration (s): 0.82 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 4.447064E+00 | grad norm: 0.500 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.684 | TFLOPs: 18.80 | 31: iteration 480/ 23189 | consumed samples: 122880 | consumed tokens: 251658240 | elapsed time per iteration (s): 0.79 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.392180E+00 | grad norm: 0.691 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.616 | TFLOPs: 19.52 | 31: iteration 490/ 23189 | consumed samples: 125440 | consumed tokens: 256901120 | elapsed time per iteration (s): 0.83 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.316931E+00 | grad norm: 0.565 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.594 | TFLOPs: 18.67 | 31: iteration 500/ 23189 | consumed samples: 128000 | consumed tokens: 262144000 | elapsed time per iteration (s): 0.80 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.300765E+00 | grad norm: 0.652 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.562 | TFLOPs: 19.39 | 31: iteration 510/ 23189 | consumed samples: 130560 | consumed tokens: 267386880 | elapsed time per iteration (s): 0.75 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.252383E+00 | grad norm: 0.930 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.384 | TFLOPs: 20.71 | 31: iteration 520/ 23189 | consumed samples: 133120 | consumed tokens: 272629760 | elapsed time per iteration (s): 0.73 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.224866E+00 | grad norm: 0.741 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.438 | TFLOPs: 21.20 | 31: iteration 530/ 23189 | consumed samples: 135680 | consumed tokens: 277872640 | elapsed time per iteration (s): 0.77 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.138229E+00 | grad norm: 0.830 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.761 | TFLOPs: 20.07 | 31: iteration 540/ 23189 | consumed samples: 138240 | consumed tokens: 283115520 | elapsed time per iteration (s): 0.77 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.136380E+00 | grad norm: 1.097 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.343 | TFLOPs: 20.11 | 31: iteration 550/ 23189 | consumed samples: 140800 | consumed tokens: 288358400 | elapsed time per iteration (s): 0.81 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.104541E+00 | grad norm: 0.648 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.055 | TFLOPs: 19.06 | 31: iteration 560/ 23189 | consumed samples: 143360 | consumed tokens: 293601280 | elapsed time per iteration (s): 0.77 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.042513E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.126 | TFLOPs: 20.21 | 31: iteration 570/ 23189 | consumed samples: 145920 | consumed tokens: 298844160 | elapsed time per iteration (s): 0.71 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.937742E+00 | grad norm: 0.828 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.811 | TFLOPs: 21.95 | 31: iteration 580/ 23189 | consumed samples: 148480 | consumed tokens: 304087040 | elapsed time per iteration (s): 0.82 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.878531E+00 | grad norm: 0.657 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.991 | TFLOPs: 18.81 | 31: iteration 590/ 23189 | consumed samples: 151040 | consumed tokens: 309329920 | elapsed time per iteration (s): 0.79 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.800454E+00 | grad norm: 0.685 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.888 | TFLOPs: 19.72 | 31: iteration 600/ 23189 | consumed samples: 153600 | consumed tokens: 314572800 | elapsed time per iteration (s): 0.79 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.762232E+00 | grad norm: 0.649 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.481 | TFLOPs: 19.63 | 31: iteration 610/ 23189 | consumed samples: 156160 | consumed tokens: 319815680 | elapsed time per iteration (s): 0.76 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.730366E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.036 | TFLOPs: 20.39 | 31: iteration 620/ 23189 | consumed samples: 158720 | consumed tokens: 325058560 | elapsed time per iteration (s): 0.81 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.672361E+00 | grad norm: 0.581 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.790 | TFLOPs: 19.10 | 31: iteration 630/ 23189 | consumed samples: 161280 | consumed tokens: 330301440 | elapsed time per iteration (s): 0.76 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.710535E+00 | grad norm: 0.512 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.510 | TFLOPs: 20.48 | 31: iteration 640/ 23189 | consumed samples: 163840 | consumed tokens: 335544320 | elapsed time per iteration (s): 0.85 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.620978E+00 | grad norm: 0.659 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 300.125 | TFLOPs: 18.16 | 31: iteration 650/ 23189 | consumed samples: 166400 | consumed tokens: 340787200 | elapsed time per iteration (s): 0.78 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 3.628704E+00 | grad norm: 0.497 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.284 | TFLOPs: 19.92 | 31: iteration 660/ 23189 | consumed samples: 168960 | consumed tokens: 346030080 | elapsed time per iteration (s): 0.76 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.584422E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.586 | TFLOPs: 20.42 | 31: iteration 670/ 23189 | consumed samples: 171520 | consumed tokens: 351272960 | elapsed time per iteration (s): 0.76 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.526859E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.582 | TFLOPs: 20.36 | 31: iteration 680/ 23189 | consumed samples: 174080 | consumed tokens: 356515840 | elapsed time per iteration (s): 0.75 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.529796E+00 | grad norm: 0.412 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.941 | TFLOPs: 20.69 | 31: iteration 690/ 23189 | consumed samples: 176640 | consumed tokens: 361758720 | elapsed time per iteration (s): 0.75 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.520543E+00 | grad norm: 0.448 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.022 | TFLOPs: 20.63 | 31: iteration 700/ 23189 | consumed samples: 179200 | consumed tokens: 367001600 | elapsed time per iteration (s): 0.74 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.504279E+00 | grad norm: 0.381 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.148 | TFLOPs: 20.88 | 31: iteration 710/ 23189 | consumed samples: 181760 | consumed tokens: 372244480 | elapsed time per iteration (s): 0.77 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.503465E+00 | grad norm: 0.590 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.113 | TFLOPs: 20.09 | 31: iteration 720/ 23189 | consumed samples: 184320 | consumed tokens: 377487360 | elapsed time per iteration (s): 0.76 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.517247E+00 | grad norm: 0.481 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.104 | TFLOPs: 20.33 | 31: iteration 730/ 23189 | consumed samples: 186880 | consumed tokens: 382730240 | elapsed time per iteration (s): 0.77 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.474589E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.185 | TFLOPs: 20.10 | 31: iteration 740/ 23189 | consumed samples: 189440 | consumed tokens: 387973120 | elapsed time per iteration (s): 0.75 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.434073E+00 | grad norm: 0.644 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.974 | TFLOPs: 20.63 | 31: iteration 750/ 23189 | consumed samples: 192000 | consumed tokens: 393216000 | elapsed time per iteration (s): 0.76 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.409163E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.569 | TFLOPs: 20.30 | 31: iteration 760/ 23189 | consumed samples: 194560 | consumed tokens: 398458880 | elapsed time per iteration (s): 0.80 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.447739E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.605 | TFLOPs: 19.27 | 31: iteration 770/ 23189 | consumed samples: 197120 | consumed tokens: 403701760 | elapsed time per iteration (s): 0.79 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 3.443711E+00 | grad norm: 0.419 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.110 | TFLOPs: 19.73 | 31: iteration 780/ 23189 | consumed samples: 199680 | consumed tokens: 408944640 | elapsed time per iteration (s): 0.79 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.371740E+00 | grad norm: 0.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.554 | TFLOPs: 19.51 | 31: iteration 790/ 23189 | consumed samples: 202240 | consumed tokens: 414187520 | elapsed time per iteration (s): 0.77 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.352973E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.756 | TFLOPs: 20.07 | 31: iteration 800/ 23189 | consumed samples: 204800 | consumed tokens: 419430400 | elapsed time per iteration (s): 0.81 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.330767E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.393 | TFLOPs: 19.02 | 31: iteration 810/ 23189 | consumed samples: 207360 | consumed tokens: 424673280 | elapsed time per iteration (s): 0.77 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.313897E+00 | grad norm: 0.489 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.817 | TFLOPs: 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samples per second: 313.232 | TFLOPs: 18.95 | 31: iteration 850/ 23189 | consumed samples: 217600 | consumed tokens: 445644800 | elapsed time per iteration (s): 0.74 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.286152E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.272 | TFLOPs: 21.01 | 31: iteration 860/ 23189 | consumed samples: 220160 | consumed tokens: 450887680 | elapsed time per iteration (s): 0.77 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.267686E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.620 | TFLOPs: 20.24 | 31: iteration 870/ 23189 | consumed samples: 222720 | consumed tokens: 456130560 | elapsed time per iteration (s): 0.76 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 3.303738E+00 | grad norm: 1.070 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.835 | TFLOPs: 20.32 | 31: iteration 880/ 23189 | consumed samples: 225280 | consumed tokens: 461373440 | elapsed time per iteration (s): 0.79 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.336412E+00 | grad norm: 0.613 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.214 | TFLOPs: 19.61 | 31: iteration 890/ 23189 | consumed samples: 227840 | consumed tokens: 466616320 | elapsed time per iteration (s): 0.76 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.275423E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.148 | TFLOPs: 20.28 | 31: iteration 900/ 23189 | consumed samples: 230400 | consumed tokens: 471859200 | elapsed time per iteration (s): 0.76 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.240837E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.572 | TFLOPs: 20.30 | 31: iteration 910/ 23189 | consumed samples: 232960 | consumed tokens: 477102080 | elapsed time per iteration (s): 0.83 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.261541E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.556 | TFLOPs: 18.67 | 31: iteration 920/ 23189 | consumed samples: 235520 | consumed tokens: 482344960 | elapsed time per iteration (s): 0.81 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.257303E+00 | grad norm: 0.915 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.371 | TFLOPs: 19.08 | 31: iteration 930/ 23189 | consumed samples: 238080 | consumed tokens: 487587840 | elapsed time per iteration (s): 0.80 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.362730E+00 | grad norm: 0.935 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.814 | TFLOPs: 19.29 | 31: iteration 940/ 23189 | consumed samples: 240640 | consumed tokens: 492830720 | elapsed time per iteration (s): 0.79 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.357019E+00 | grad norm: 0.930 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.923 | TFLOPs: 19.54 | 31: iteration 950/ 23189 | consumed samples: 243200 | consumed tokens: 498073600 | elapsed time per iteration (s): 0.84 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.329707E+00 | grad norm: 0.404 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.866 | TFLOPs: 18.38 | 31: iteration 960/ 23189 | consumed samples: 245760 | consumed tokens: 503316480 | elapsed time per iteration (s): 0.75 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 3.252896E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.899 | TFLOPs: 20.68 | 31: iteration 970/ 23189 | consumed samples: 248320 | consumed tokens: 508559360 | elapsed time per iteration (s): 0.77 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 3.227472E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.369 | TFLOPs: 19.99 | 31: iteration 980/ 23189 | consumed samples: 250880 | consumed tokens: 513802240 | elapsed time per iteration (s): 0.79 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 3.171441E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.735 | TFLOPs: 19.59 | 31: iteration 990/ 23189 | consumed samples: 253440 | consumed tokens: 519045120 | elapsed time per iteration (s): 0.80 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 3.176475E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.826 | TFLOPs: 19.35 | 31: iteration 1000/ 23189 | consumed samples: 256000 | consumed tokens: 524288000 | elapsed time per iteration (s): 0.75 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 3.158631E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.649 | TFLOPs: 20.55 | 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 1000 | lm loss value: 3.128565E+00 | lm loss PPL: 2.284118E+01 | 31: ------------------------------------------------------------------------------------------ 31: iteration 1010/ 23189 | consumed samples: 258560 | consumed tokens: 529530880 | elapsed time per iteration (s): 0.86 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 3.187648E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 299.077 | TFLOPs: 18.09 | 31: iteration 1020/ 23189 | consumed samples: 261120 | consumed tokens: 534773760 | elapsed time per iteration (s): 0.76 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 3.152398E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.342 | TFLOPs: 20.41 | 31: iteration 1030/ 23189 | consumed samples: 263680 | consumed tokens: 540016640 | elapsed time per iteration (s): 0.82 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 3.142533E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.955 | TFLOPs: 18.99 | 31: iteration 1040/ 23189 | consumed samples: 266240 | consumed tokens: 545259520 | elapsed time per iteration (s): 0.71 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 3.183639E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.880 | TFLOPs: 21.95 | 31: iteration 1050/ 23189 | consumed samples: 268800 | consumed tokens: 550502400 | elapsed time per iteration (s): 0.73 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 3.160075E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.668 | TFLOPs: 21.15 | 31: iteration 1060/ 23189 | consumed samples: 271360 | consumed tokens: 555745280 | elapsed time per iteration (s): 0.73 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 3.117831E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.037 | TFLOPs: 21.24 | 31: iteration 1070/ 23189 | consumed samples: 273920 | consumed tokens: 560988160 | elapsed time per iteration (s): 0.75 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 3.112535E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.543 | TFLOPs: 20.72 | 31: iteration 1080/ 23189 | consumed samples: 276480 | consumed tokens: 566231040 | elapsed time per iteration (s): 0.80 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 3.065007E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.383 | TFLOPs: 19.32 | 31: iteration 1090/ 23189 | consumed samples: 279040 | consumed tokens: 571473920 | elapsed time per iteration (s): 0.74 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 3.092429E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.348 | TFLOPs: 20.89 | 31: iteration 1100/ 23189 | consumed samples: 281600 | consumed tokens: 576716800 | elapsed time per iteration (s): 0.74 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 3.128107E+00 | grad norm: 0.386 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.852 | TFLOPs: 20.98 | 31: iteration 1110/ 23189 | consumed samples: 284160 | consumed tokens: 581959680 | elapsed time per iteration (s): 0.78 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 3.082667E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.910 | TFLOPs: 19.96 | 31: iteration 1120/ 23189 | consumed samples: 286720 | consumed tokens: 587202560 | elapsed time per iteration (s): 0.76 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.107881E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.326 | TFLOPs: 20.35 | 31: iteration 1130/ 23189 | consumed samples: 289280 | consumed tokens: 592445440 | elapsed time per iteration (s): 0.79 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.106021E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.308 | TFLOPs: 19.62 | 31: iteration 1140/ 23189 | consumed samples: 291840 | consumed tokens: 597688320 | elapsed time per iteration (s): 0.83 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.063453E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.992 | TFLOPs: 18.69 | 31: iteration 1150/ 23189 | consumed samples: 294400 | consumed tokens: 602931200 | elapsed time per iteration (s): 0.84 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.094928E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.100 | TFLOPs: 18.34 | 31: iteration 1160/ 23189 | consumed samples: 296960 | consumed tokens: 608174080 | elapsed time per iteration (s): 0.85 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.077794E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 300.208 | TFLOPs: 18.16 | 31: iteration 1170/ 23189 | consumed samples: 299520 | consumed tokens: 613416960 | elapsed time per iteration (s): 0.80 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.075028E+00 | grad norm: 0.375 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.947 | TFLOPs: 19.42 | 31: iteration 1180/ 23189 | consumed samples: 302080 | consumed tokens: 618659840 | elapsed time per iteration (s): 0.86 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.089389E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 299.287 | TFLOPs: 18.11 | 31: iteration 1190/ 23189 | consumed samples: 304640 | consumed tokens: 623902720 | elapsed time per iteration (s): 0.79 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.094704E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.866 | TFLOPs: 19.53 | 31: iteration 1200/ 23189 | consumed samples: 307200 | consumed tokens: 629145600 | elapsed time per iteration (s): 0.78 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.064555E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.092 | TFLOPs: 19.91 | 31: iteration 1210/ 23189 | consumed samples: 309760 | consumed tokens: 634388480 | elapsed time per iteration (s): 0.78 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.058315E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.204 | TFLOPs: 19.73 | 31: iteration 1220/ 23189 | consumed samples: 312320 | consumed tokens: 639631360 | elapsed time per iteration (s): 0.80 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 2.998862E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.971 | TFLOPs: 19.36 | 31: iteration 1230/ 23189 | consumed samples: 314880 | consumed tokens: 644874240 | elapsed time per iteration (s): 0.74 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.049919E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.019 | TFLOPs: 20.99 | 31: iteration 1240/ 23189 | consumed samples: 317440 | consumed tokens: 650117120 | elapsed time per iteration (s): 0.75 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.023036E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.428 | TFLOPs: 20.53 | 31: iteration 1250/ 23189 | consumed samples: 320000 | consumed tokens: 655360000 | elapsed time per iteration (s): 0.79 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.029040E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.189 | TFLOPs: 19.55 | 31: iteration 1260/ 23189 | consumed samples: 322560 | consumed tokens: 660602880 | elapsed time per iteration (s): 0.79 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 2.970426E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.786 | TFLOPs: 19.59 | 31: iteration 1270/ 23189 | consumed samples: 325120 | consumed tokens: 665845760 | elapsed time per iteration (s): 0.74 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.028980E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.249 | TFLOPs: 20.89 | 31: iteration 1280/ 23189 | consumed samples: 327680 | consumed tokens: 671088640 | elapsed time per iteration (s): 0.79 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.032667E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.787 | TFLOPs: 19.59 | 31: iteration 1290/ 23189 | consumed samples: 330240 | consumed tokens: 676331520 | elapsed time per iteration (s): 0.76 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 2.917630E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.849 | TFLOPs: 20.50 | 31: iteration 1300/ 23189 | consumed samples: 332800 | consumed tokens: 681574400 | elapsed time per iteration (s): 0.77 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 2.993103E+00 | grad norm: 0.364 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.676 | TFLOPs: 20.01 | 31: iteration 1310/ 23189 | consumed samples: 335360 | consumed tokens: 686817280 | elapsed time per iteration (s): 0.72 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 2.974393E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.658 | TFLOPs: 21.64 | 31: iteration 1320/ 23189 | consumed samples: 337920 | consumed tokens: 692060160 | elapsed time per iteration (s): 0.77 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 2.972733E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.010 | TFLOPs: 20.15 | 31: iteration 1330/ 23189 | consumed samples: 340480 | consumed tokens: 697303040 | elapsed time per iteration (s): 0.78 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 2.978477E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.658 | TFLOPs: 19.82 | 31: iteration 1340/ 23189 | consumed samples: 343040 | consumed tokens: 702545920 | elapsed time per iteration (s): 0.79 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 2.986241E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.588 | TFLOPs: 19.70 | 31: iteration 1350/ 23189 | consumed samples: 345600 | consumed tokens: 707788800 | elapsed time per iteration (s): 0.78 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 2.961100E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.185 | TFLOPs: 19.73 | 31: iteration 1360/ 23189 | consumed samples: 348160 | consumed tokens: 713031680 | elapsed time per iteration (s): 0.83 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 2.929728E+00 | grad norm: 0.385 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.993 | TFLOPs: 18.69 | 31: iteration 1370/ 23189 | consumed samples: 350720 | consumed tokens: 718274560 | elapsed time per iteration (s): 0.79 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 2.965000E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.443 | TFLOPs: 19.51 | 31: iteration 1380/ 23189 | consumed samples: 353280 | consumed tokens: 723517440 | elapsed time per iteration (s): 0.77 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 2.957780E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.789 | TFLOPs: 20.01 | 31: iteration 1390/ 23189 | consumed samples: 355840 | consumed tokens: 728760320 | elapsed time per iteration (s): 0.83 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 2.955554E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.098 | TFLOPs: 18.64 | 31: iteration 1400/ 23189 | consumed samples: 358400 | consumed tokens: 734003200 | elapsed time per iteration (s): 0.73 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 2.996758E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.850 | TFLOPs: 21.23 | 31: iteration 1410/ 23189 | consumed samples: 360960 | consumed tokens: 739246080 | elapsed time per iteration (s): 0.75 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 2.961861E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.220 | TFLOPs: 20.58 | 31: iteration 1420/ 23189 | consumed samples: 363520 | consumed tokens: 744488960 | elapsed time per iteration (s): 0.73 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 2.911421E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.070 | TFLOPs: 21.36 | 31: iteration 1430/ 23189 | consumed samples: 366080 | consumed tokens: 749731840 | elapsed time per iteration (s): 0.78 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 2.912513E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.413 | TFLOPs: 19.81 | 31: iteration 1440/ 23189 | consumed samples: 368640 | consumed tokens: 754974720 | elapsed time per iteration (s): 0.76 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 2.944484E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.806 | TFLOPs: 20.25 | 31: iteration 1450/ 23189 | consumed samples: 371200 | consumed tokens: 760217600 | elapsed time per iteration (s): 0.73 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 2.932228E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.207 | TFLOPs: 21.25 | 31: iteration 1460/ 23189 | consumed samples: 373760 | consumed tokens: 765460480 | elapsed time per iteration (s): 0.79 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 2.942738E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.618 | TFLOPs: 19.52 | 31: iteration 1470/ 23189 | consumed samples: 376320 | consumed tokens: 770703360 | elapsed time per iteration (s): 0.75 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 2.916439E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.881 | TFLOPs: 20.62 | 31: iteration 1480/ 23189 | consumed samples: 378880 | consumed tokens: 775946240 | elapsed time per iteration (s): 0.81 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 2.942673E+00 | grad norm: 0.375 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.663 | TFLOPs: 19.22 | 31: iteration 1490/ 23189 | consumed samples: 381440 | consumed tokens: 781189120 | elapsed time per iteration (s): 0.76 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 2.959958E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.075 | TFLOPs: 20.33 | 31: iteration 1500/ 23189 | consumed samples: 384000 | consumed tokens: 786432000 | elapsed time per iteration (s): 0.79 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 2.926612E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.873 | TFLOPs: 19.71 | 31: iteration 1510/ 23189 | consumed samples: 386560 | consumed tokens: 791674880 | elapsed time per iteration (s): 0.78 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 2.926980E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.870 | TFLOPs: 19.96 | 31: iteration 1520/ 23189 | consumed samples: 389120 | consumed tokens: 796917760 | elapsed time per iteration (s): 0.85 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 2.968661E+00 | grad norm: 2.088 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 299.658 | TFLOPs: 18.13 | 31: iteration 1530/ 23189 | consumed samples: 391680 | consumed tokens: 802160640 | elapsed time per iteration (s): 0.79 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.145567E+00 | grad norm: 2.911 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.374 | TFLOPs: 19.50 | 31: iteration 1540/ 23189 | consumed samples: 394240 | consumed tokens: 807403520 | elapsed time per iteration (s): 0.80 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.248222E+00 | grad norm: 1.595 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.268 | TFLOPs: 19.38 | 31: iteration 1550/ 23189 | consumed samples: 396800 | consumed tokens: 812646400 | elapsed time per iteration (s): 0.73 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.190439E+00 | grad norm: 1.059 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.431 | TFLOPs: 21.32 | 31: iteration 1560/ 23189 | consumed samples: 399360 | consumed tokens: 817889280 | elapsed time per iteration (s): 0.78 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.151838E+00 | grad norm: 0.844 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.467 | TFLOPs: 19.93 | 31: iteration 1570/ 23189 | consumed samples: 401920 | consumed tokens: 823132160 | elapsed time per iteration (s): 0.75 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.046830E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.540 | TFLOPs: 20.72 | 31: iteration 1580/ 23189 | consumed samples: 404480 | consumed tokens: 828375040 | elapsed time per iteration (s): 0.75 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.004916E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.481 | TFLOPs: 20.66 | 31: iteration 1590/ 23189 | consumed samples: 407040 | consumed tokens: 833617920 | elapsed time per iteration (s): 0.79 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 2.977769E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.554 | TFLOPs: 19.70 | 31: iteration 1600/ 23189 | consumed samples: 409600 | consumed tokens: 838860800 | elapsed time per iteration (s): 0.76 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 2.929098E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.724 | TFLOPs: 20.31 | 31: iteration 1610/ 23189 | consumed samples: 412160 | consumed tokens: 844103680 | elapsed time per iteration (s): 0.74 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 2.901642E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.387 | TFLOPs: 20.90 | 31: iteration 1620/ 23189 | consumed samples: 414720 | consumed tokens: 849346560 | elapsed time per iteration (s): 0.78 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 2.892879E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.280 | TFLOPs: 19.92 | 31: iteration 1630/ 23189 | consumed samples: 417280 | consumed tokens: 854589440 | elapsed time per iteration (s): 0.74 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 2.901315E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.586 | TFLOPs: 20.91 | 31: iteration 1640/ 23189 | consumed samples: 419840 | consumed tokens: 859832320 | elapsed time per iteration (s): 0.80 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 2.872955E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.005 | TFLOPs: 19.48 | 31: iteration 1650/ 23189 | consumed samples: 422400 | consumed tokens: 865075200 | elapsed time per iteration (s): 0.78 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 2.927845E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.322 | TFLOPs: 19.98 | 31: iteration 1660/ 23189 | consumed samples: 424960 | consumed tokens: 870318080 | elapsed time per iteration (s): 0.78 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 2.855807E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.893 | TFLOPs: 19.78 | 31: iteration 1670/ 23189 | consumed samples: 427520 | consumed tokens: 875560960 | elapsed time per iteration (s): 0.76 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 2.885839E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.864 | TFLOPs: 20.44 | 31: iteration 1680/ 23189 | consumed samples: 430080 | consumed tokens: 880803840 | elapsed time per iteration (s): 0.79 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 2.858757E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.082 | TFLOPs: 19.55 | 31: iteration 1690/ 23189 | consumed samples: 432640 | consumed tokens: 886046720 | elapsed time per iteration (s): 0.77 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 2.904824E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.232 | TFLOPs: 20.16 | 31: iteration 1700/ 23189 | consumed samples: 435200 | consumed tokens: 891289600 | elapsed time per iteration (s): 0.81 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 2.898704E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.113 | TFLOPs: 19.12 | 31: iteration 1710/ 23189 | consumed samples: 437760 | consumed tokens: 896532480 | elapsed time per iteration (s): 0.78 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 2.868610E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.604 | TFLOPs: 19.88 | 31: iteration 1720/ 23189 | consumed samples: 440320 | consumed tokens: 901775360 | elapsed time per iteration (s): 0.76 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 2.866971E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.893 | TFLOPs: 20.32 | 31: iteration 1730/ 23189 | consumed samples: 442880 | consumed tokens: 907018240 | elapsed time per iteration (s): 0.74 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 2.856269E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.113 | TFLOPs: 20.82 | 31: iteration 1740/ 23189 | consumed samples: 445440 | consumed tokens: 912261120 | elapsed time per iteration (s): 0.71 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 2.889176E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.374 | TFLOPs: 21.80 | 31: iteration 1750/ 23189 | consumed samples: 448000 | consumed tokens: 917504000 | elapsed time per iteration (s): 0.71 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 2.862356E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.122 | TFLOPs: 21.79 | 31: iteration 1760/ 23189 | consumed samples: 450560 | consumed tokens: 922746880 | elapsed time per iteration (s): 0.75 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 2.871224E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.257 | TFLOPs: 20.71 | 31: iteration 1770/ 23189 | consumed samples: 453120 | consumed tokens: 927989760 | elapsed time per iteration (s): 0.74 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 2.846797E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.399 | TFLOPs: 20.84 | 31: iteration 1780/ 23189 | consumed samples: 455680 | consumed tokens: 933232640 | elapsed time per iteration (s): 0.73 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 2.843919E+00 | grad norm: 0.552 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.266 | TFLOPs: 21.31 | 31: iteration 1790/ 23189 | consumed samples: 458240 | consumed tokens: 938475520 | elapsed time per iteration (s): 0.73 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 2.909109E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.035 | TFLOPs: 21.36 | 31: iteration 1800/ 23189 | consumed samples: 460800 | consumed tokens: 943718400 | elapsed time per iteration (s): 0.78 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 2.835836E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.969 | TFLOPs: 19.84 | 31: iteration 1810/ 23189 | consumed samples: 463360 | consumed tokens: 948961280 | elapsed time per iteration (s): 0.77 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 2.857251E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.175 | TFLOPs: 20.16 | 31: iteration 1820/ 23189 | consumed samples: 465920 | consumed tokens: 954204160 | elapsed time per iteration (s): 0.76 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 2.836364E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.474 | TFLOPs: 20.30 | 31: iteration 1830/ 23189 | consumed samples: 468480 | consumed tokens: 959447040 | elapsed time per iteration (s): 0.74 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 2.822975E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.906 | TFLOPs: 20.93 | 31: iteration 1840/ 23189 | consumed samples: 471040 | consumed tokens: 964689920 | elapsed time per iteration (s): 0.85 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 2.821282E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 301.853 | TFLOPs: 18.26 | 31: iteration 1850/ 23189 | consumed samples: 473600 | consumed tokens: 969932800 | elapsed time per iteration (s): 0.74 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 2.829493E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.949 | TFLOPs: 20.93 | 31: iteration 1860/ 23189 | consumed samples: 476160 | consumed tokens: 975175680 | elapsed time per iteration (s): 0.80 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 2.792420E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.486 | TFLOPs: 19.27 | 31: iteration 1870/ 23189 | consumed samples: 478720 | consumed tokens: 980418560 | elapsed time per iteration (s): 0.81 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 2.803879E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.324 | TFLOPs: 19.14 | 31: iteration 1880/ 23189 | consumed samples: 481280 | consumed tokens: 985661440 | elapsed time per iteration (s): 0.82 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 2.783194E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.788 | TFLOPs: 18.80 | 31: iteration 1890/ 23189 | consumed samples: 483840 | consumed tokens: 990904320 | elapsed time per iteration (s): 0.79 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 2.830060E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.880 | TFLOPs: 19.53 | 31: iteration 1900/ 23189 | consumed samples: 486400 | consumed tokens: 996147200 | elapsed time per iteration (s): 0.80 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 2.769432E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.512 | TFLOPs: 19.39 | 31: iteration 1910/ 23189 | consumed samples: 488960 | consumed tokens: 1001390080 | elapsed time per iteration (s): 0.77 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 2.823088E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.340 | TFLOPs: 20.23 | 31: iteration 1920/ 23189 | consumed samples: 491520 | consumed tokens: 1006632960 | elapsed time per iteration (s): 0.73 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 2.786508E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.715 | TFLOPs: 21.34 | 31: iteration 1930/ 23189 | consumed samples: 494080 | consumed tokens: 1011875840 | elapsed time per iteration (s): 0.78 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 2.798870E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.945 | TFLOPs: 19.90 | 31: iteration 1940/ 23189 | consumed samples: 496640 | consumed tokens: 1017118720 | elapsed time per iteration (s): 0.79 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 2.790783E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.927 | TFLOPs: 19.72 | 31: iteration 1950/ 23189 | consumed samples: 499200 | consumed tokens: 1022361600 | elapsed time per iteration (s): 0.76 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 2.769595E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.567 | TFLOPs: 20.42 | 31: iteration 1960/ 23189 | consumed samples: 501760 | consumed tokens: 1027604480 | elapsed time per iteration (s): 0.75 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 2.825027E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.535 | TFLOPs: 20.60 | 31: iteration 1970/ 23189 | consumed samples: 504320 | consumed tokens: 1032847360 | elapsed time per iteration (s): 0.81 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 2.825290E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.642 | TFLOPs: 19.10 | 31: iteration 1980/ 23189 | consumed samples: 506880 | consumed tokens: 1038090240 | elapsed time per iteration (s): 0.80 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 2.794914E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.702 | TFLOPs: 19.34 | 31: iteration 1990/ 23189 | consumed samples: 509440 | consumed tokens: 1043333120 | elapsed time per iteration (s): 0.80 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 2.820023E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.295 | TFLOPs: 19.44 | 0: [2022-11-28 18:17:31,463] [INFO] [logging.py:68:log_dist] [Rank 0] step=2000, skipped=0, lr=[0.00019737836889343759, 0.00019737836889343759, 0.00019737836889343759], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 2000/ 23189 | consumed samples: 512000 | consumed tokens: 1048576000 | elapsed time per iteration (s): 0.82 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 2.811147E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.720 | TFLOPs: 18.86 | 0: steps: 2000 loss: 2.8881 iter time (s): 0.790 samples/sec: 323.929 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 2000 | lm loss value: 2.702714E+00 | lm loss PPL: 1.492017E+01 | 31: ------------------------------------------------------------------------------------------ 31: iteration 2010/ 23189 | consumed samples: 514560 | consumed tokens: 1053818880 | elapsed time per iteration (s): 0.83 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 2.819857E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.172 | TFLOPs: 18.70 | 31: iteration 2020/ 23189 | consumed samples: 517120 | consumed tokens: 1059061760 | elapsed time per iteration (s): 0.79 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 2.833790E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.379 | TFLOPs: 19.68 | 31: iteration 2030/ 23189 | consumed samples: 519680 | consumed tokens: 1064304640 | elapsed time per iteration (s): 0.76 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 2.762351E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.397 | TFLOPs: 20.41 | 31: iteration 2040/ 23189 | consumed samples: 522240 | consumed tokens: 1069547520 | elapsed time per iteration (s): 0.81 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 2.783863E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.224 | TFLOPs: 19.01 | 31: iteration 2050/ 23189 | consumed samples: 524800 | consumed tokens: 1074790400 | elapsed time per iteration (s): 0.77 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 2.809184E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.501 | TFLOPs: 20.05 | 31: iteration 2060/ 23189 | consumed samples: 527360 | consumed tokens: 1080033280 | elapsed time per iteration (s): 0.76 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 2.781253E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.011 | TFLOPs: 20.39 | 31: iteration 2070/ 23189 | consumed samples: 529920 | consumed tokens: 1085276160 | elapsed time per iteration (s): 0.82 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 2.759438E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.546 | TFLOPs: 18.91 | 31: iteration 2080/ 23189 | consumed samples: 532480 | consumed tokens: 1090519040 | elapsed time per iteration (s): 0.79 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 2.779129E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.947 | TFLOPs: 19.66 | 31: iteration 2090/ 23189 | consumed samples: 535040 | consumed tokens: 1095761920 | elapsed time per iteration (s): 0.75 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 2.771994E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.856 | TFLOPs: 20.74 | 31: iteration 2100/ 23189 | consumed samples: 537600 | consumed tokens: 1101004800 | elapsed time per iteration (s): 0.76 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 2.762814E+00 | grad norm: 0.474 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.977 | TFLOPs: 20.51 | 31: iteration 2110/ 23189 | consumed samples: 540160 | consumed tokens: 1106247680 | elapsed time per iteration (s): 0.77 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 2.752593E+00 | grad norm: 0.386 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.573 | TFLOPs: 20.24 | 31: iteration 2120/ 23189 | consumed samples: 542720 | consumed tokens: 1111490560 | elapsed time per iteration (s): 0.73 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 2.766967E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.776 | TFLOPs: 21.28 | 31: iteration 2130/ 23189 | consumed samples: 545280 | consumed tokens: 1116733440 | elapsed time per iteration (s): 0.76 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 2.772750E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.732 | TFLOPs: 20.37 | 31: iteration 2140/ 23189 | consumed samples: 547840 | consumed tokens: 1121976320 | elapsed time per iteration (s): 0.79 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 2.765627E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.239 | TFLOPs: 19.49 | 31: iteration 2150/ 23189 | consumed samples: 550400 | consumed tokens: 1127219200 | elapsed time per iteration (s): 0.77 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 2.754879E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.739 | TFLOPs: 20.13 | 31: iteration 2160/ 23189 | consumed samples: 552960 | consumed tokens: 1132462080 | elapsed time per iteration (s): 0.74 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 2.757024E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.584 | TFLOPs: 20.85 | 31: iteration 2170/ 23189 | consumed samples: 555520 | consumed tokens: 1137704960 | elapsed time per iteration (s): 0.78 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 2.770550E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.732 | TFLOPs: 19.83 | 31: iteration 2180/ 23189 | consumed samples: 558080 | consumed tokens: 1142947840 | elapsed time per iteration (s): 0.80 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 2.776886E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.791 | TFLOPs: 19.47 | 31: iteration 2190/ 23189 | consumed samples: 560640 | consumed tokens: 1148190720 | elapsed time per iteration (s): 0.77 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 2.754060E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.545 | TFLOPs: 20.00 | 31: iteration 2200/ 23189 | consumed samples: 563200 | consumed tokens: 1153433600 | elapsed time per iteration (s): 0.87 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 2.780361E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 293.148 | TFLOPs: 17.73 | 31: iteration 2210/ 23189 | consumed samples: 565760 | consumed tokens: 1158676480 | elapsed time per iteration (s): 0.80 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 2.729923E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.270 | TFLOPs: 19.25 | 31: iteration 2220/ 23189 | consumed samples: 568320 | consumed tokens: 1163919360 | elapsed time per iteration (s): 0.76 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 2.793769E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.993 | TFLOPs: 20.39 | 31: iteration 2230/ 23189 | consumed samples: 570880 | consumed tokens: 1169162240 | elapsed time per iteration (s): 0.77 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 2.748372E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.878 | TFLOPs: 20.08 | 31: iteration 2240/ 23189 | consumed samples: 573440 | consumed tokens: 1174405120 | elapsed time per iteration (s): 0.77 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 2.772061E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.955 | TFLOPs: 20.20 | 31: iteration 2250/ 23189 | consumed samples: 576000 | consumed tokens: 1179648000 | elapsed time per iteration (s): 0.82 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 2.735565E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.949 | TFLOPs: 18.87 | 31: iteration 2260/ 23189 | consumed samples: 578560 | consumed tokens: 1184890880 | elapsed time per iteration (s): 0.78 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 2.702444E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.042 | TFLOPs: 19.85 | 31: iteration 2270/ 23189 | consumed samples: 581120 | consumed tokens: 1190133760 | elapsed time per iteration (s): 0.74 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 2.706305E+00 | grad norm: 0.538 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.379 | TFLOPs: 20.83 | 31: iteration 2280/ 23189 | consumed samples: 583680 | consumed tokens: 1195376640 | elapsed time per iteration (s): 0.77 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 2.736444E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.937 | TFLOPs: 20.02 | 31: iteration 2290/ 23189 | consumed samples: 586240 | consumed tokens: 1200619520 | elapsed time per iteration (s): 0.79 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 2.771868E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.924 | TFLOPs: 19.54 | 31: iteration 2300/ 23189 | consumed samples: 588800 | consumed tokens: 1205862400 | elapsed time per iteration (s): 0.78 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 2.743679E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.978 | TFLOPs: 19.78 | 31: iteration 2310/ 23189 | consumed samples: 591360 | consumed tokens: 1211105280 | elapsed time per iteration (s): 0.79 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 2.762850E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.892 | TFLOPs: 19.66 | 31: iteration 2320/ 23189 | consumed samples: 593920 | consumed tokens: 1216348160 | elapsed time per iteration (s): 0.76 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 2.752704E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.781 | TFLOPs: 20.50 | 31: iteration 2330/ 23189 | consumed samples: 596480 | consumed tokens: 1221591040 | elapsed time per iteration (s): 0.82 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 2.682664E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.331 | TFLOPs: 18.96 | 31: iteration 2340/ 23189 | consumed samples: 599040 | consumed tokens: 1226833920 | elapsed time per iteration (s): 0.74 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 2.695292E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.787 | TFLOPs: 20.80 | 31: iteration 2350/ 23189 | consumed samples: 601600 | consumed tokens: 1232076800 | elapsed time per iteration (s): 0.76 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 2.721848E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.721 | TFLOPs: 20.37 | 31: iteration 2360/ 23189 | consumed samples: 604160 | consumed tokens: 1237319680 | elapsed time per iteration (s): 0.75 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 2.739601E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.293 | TFLOPs: 20.53 | 31: iteration 2370/ 23189 | consumed samples: 606720 | consumed tokens: 1242562560 | elapsed time per iteration (s): 0.75 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 2.750943E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.359 | TFLOPs: 20.59 | 31: iteration 2380/ 23189 | consumed samples: 609280 | consumed tokens: 1247805440 | elapsed time per iteration (s): 0.76 | learning rate: 1.961E-04 | global batch size: 256 | lm loss: 2.731703E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.530 | TFLOPs: 20.36 | 31: iteration 2390/ 23189 | consumed samples: 611840 | consumed tokens: 1253048320 | elapsed time per iteration (s): 0.75 | learning rate: 1.961E-04 | global batch size: 256 | lm loss: 2.717873E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.465 | TFLOPs: 20.78 | 31: iteration 2400/ 23189 | consumed samples: 614400 | consumed tokens: 1258291200 | elapsed time per iteration (s): 0.74 | learning rate: 1.961E-04 | global batch size: 256 | lm loss: 2.762123E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.643 | TFLOPs: 20.91 | 31: iteration 2410/ 23189 | consumed samples: 616960 | consumed tokens: 1263534080 | elapsed time per iteration (s): 0.78 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 2.723754E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.746 | TFLOPs: 19.89 | 31: iteration 2420/ 23189 | consumed samples: 619520 | consumed tokens: 1268776960 | elapsed time per iteration (s): 0.75 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 2.716866E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.748 | TFLOPs: 20.74 | 31: iteration 2430/ 23189 | consumed samples: 622080 | consumed tokens: 1274019840 | elapsed time per iteration (s): 0.76 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 2.720906E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.801 | TFLOPs: 20.25 | 31: iteration 2440/ 23189 | consumed samples: 624640 | consumed tokens: 1279262720 | elapsed time per iteration (s): 0.74 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 2.692519E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.692 | TFLOPs: 20.79 | 31: iteration 2450/ 23189 | consumed samples: 627200 | consumed tokens: 1284505600 | elapsed time per iteration (s): 0.76 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 2.714257E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.546 | TFLOPs: 20.36 | 31: iteration 2460/ 23189 | consumed samples: 629760 | consumed tokens: 1289748480 | elapsed time per iteration (s): 0.81 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 2.737189E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.582 | TFLOPs: 19.03 | 31: iteration 2470/ 23189 | consumed samples: 632320 | consumed tokens: 1294991360 | elapsed time per iteration (s): 0.80 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 2.708027E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.627 | TFLOPs: 19.34 | 31: iteration 2480/ 23189 | consumed samples: 634880 | consumed tokens: 1300234240 | elapsed time per iteration (s): 0.73 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 2.687415E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.372 | TFLOPs: 21.08 | 31: iteration 2490/ 23189 | consumed samples: 637440 | consumed tokens: 1305477120 | elapsed time per iteration (s): 0.82 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 2.685993E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.040 | TFLOPs: 18.88 | 31: iteration 2500/ 23189 | consumed samples: 640000 | consumed tokens: 1310720000 | elapsed time per iteration (s): 0.82 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 2.858134E+00 | grad norm: 8.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.360 | TFLOPs: 18.78 | 31: iteration 2510/ 23189 | consumed samples: 642560 | consumed tokens: 1315962880 | elapsed time per iteration (s): 0.79 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.409825E+00 | grad norm: 3.113 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.842 | TFLOPs: 19.59 | 31: iteration 2520/ 23189 | consumed samples: 645120 | consumed tokens: 1321205760 | elapsed time per iteration (s): 0.83 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 3.436948E+00 | grad norm: 1.973 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.661 | TFLOPs: 18.61 | 31: iteration 2530/ 23189 | consumed samples: 647680 | consumed tokens: 1326448640 | elapsed time per iteration (s): 0.81 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 3.223864E+00 | grad norm: 1.800 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.814 | TFLOPs: 19.11 | 31: iteration 2540/ 23189 | consumed samples: 650240 | consumed tokens: 1331691520 | elapsed time per iteration (s): 0.86 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 3.035757E+00 | grad norm: 0.832 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 298.895 | TFLOPs: 18.08 | 31: iteration 2550/ 23189 | consumed samples: 652800 | consumed tokens: 1336934400 | elapsed time per iteration (s): 0.82 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 2.925536E+00 | grad norm: 0.603 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.826 | TFLOPs: 18.80 | 31: iteration 2560/ 23189 | consumed samples: 655360 | consumed tokens: 1342177280 | elapsed time per iteration (s): 0.77 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 2.828778E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.360 | TFLOPs: 20.23 | 31: iteration 2570/ 23189 | consumed samples: 657920 | consumed tokens: 1347420160 | elapsed time per iteration (s): 0.79 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 2.786220E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.423 | TFLOPs: 19.63 | 31: iteration 2580/ 23189 | consumed samples: 660480 | consumed tokens: 1352663040 | elapsed time per iteration (s): 0.75 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 2.763030E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.781 | TFLOPs: 20.56 | 31: iteration 2590/ 23189 | consumed samples: 663040 | consumed tokens: 1357905920 | elapsed time per iteration (s): 0.75 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 2.769724E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.711 | TFLOPs: 20.61 | 31: iteration 2600/ 23189 | consumed samples: 665600 | consumed tokens: 1363148800 | elapsed time per iteration (s): 0.76 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 2.710062E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.757 | TFLOPs: 20.37 | 31: iteration 2610/ 23189 | consumed samples: 668160 | consumed tokens: 1368391680 | elapsed time per iteration (s): 0.73 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 2.740420E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.823 | TFLOPs: 21.16 | 31: iteration 2620/ 23189 | consumed samples: 670720 | consumed tokens: 1373634560 | elapsed time per iteration (s): 0.76 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 2.744251E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.165 | TFLOPs: 20.46 | 31: iteration 2630/ 23189 | consumed samples: 673280 | consumed tokens: 1378877440 | elapsed time per iteration (s): 0.74 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 2.716165E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.270 | TFLOPs: 20.83 | 31: iteration 2640/ 23189 | consumed samples: 675840 | consumed tokens: 1384120320 | elapsed time per iteration (s): 0.82 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 2.758443E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.140 | TFLOPs: 18.88 | 31: iteration 2650/ 23189 | consumed samples: 678400 | consumed tokens: 1389363200 | elapsed time per iteration (s): 0.79 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 2.723045E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.219 | TFLOPs: 19.49 | 31: iteration 2660/ 23189 | consumed samples: 680960 | consumed tokens: 1394606080 | elapsed time per iteration (s): 0.83 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 2.692276E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 306.817 | TFLOPs: 18.56 | 31: iteration 2670/ 23189 | consumed samples: 683520 | consumed tokens: 1399848960 | elapsed time per iteration (s): 0.79 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 2.697591E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.154 | TFLOPs: 19.67 | 31: iteration 2680/ 23189 | consumed samples: 686080 | consumed tokens: 1405091840 | elapsed time per iteration (s): 0.80 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 2.663905E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.656 | TFLOPs: 19.40 | 31: iteration 2690/ 23189 | consumed samples: 688640 | consumed tokens: 1410334720 | elapsed time per iteration (s): 0.80 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 2.688446E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.583 | TFLOPs: 19.33 | 31: iteration 2700/ 23189 | consumed samples: 691200 | consumed tokens: 1415577600 | elapsed time per iteration (s): 0.82 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 2.699668E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.200 | TFLOPs: 18.83 | 31: iteration 2710/ 23189 | consumed samples: 693760 | consumed tokens: 1420820480 | elapsed time per iteration (s): 0.81 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 2.660254E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.318 | TFLOPs: 19.14 | 31: iteration 2720/ 23189 | consumed samples: 696320 | consumed tokens: 1426063360 | elapsed time per iteration (s): 0.76 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 2.716440E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.005 | TFLOPs: 20.45 | 31: iteration 2730/ 23189 | consumed samples: 698880 | consumed tokens: 1431306240 | elapsed time per iteration (s): 0.74 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 2.676783E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.581 | TFLOPs: 21.03 | 31: iteration 2740/ 23189 | consumed samples: 701440 | consumed tokens: 1436549120 | elapsed time per iteration (s): 0.75 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 2.653633E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.987 | TFLOPs: 20.57 | 31: iteration 2750/ 23189 | consumed samples: 704000 | consumed tokens: 1441792000 | elapsed time per iteration (s): 0.74 | learning rate: 1.947E-04 | global batch size: 256 | lm loss: 2.660810E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.083 | TFLOPs: 20.82 | 31: iteration 2760/ 23189 | consumed samples: 706560 | consumed tokens: 1447034880 | elapsed time per iteration (s): 0.78 | learning rate: 1.947E-04 | global batch size: 256 | lm loss: 2.671740E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.142 | TFLOPs: 19.73 | 31: iteration 2770/ 23189 | consumed samples: 709120 | consumed tokens: 1452277760 | elapsed time per iteration (s): 0.79 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 2.695401E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.300 | TFLOPs: 19.62 | 31: iteration 2780/ 23189 | consumed samples: 711680 | consumed tokens: 1457520640 | elapsed time per iteration (s): 0.80 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 2.683610E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.410 | TFLOPs: 19.44 | 31: iteration 2790/ 23189 | consumed samples: 714240 | consumed tokens: 1462763520 | elapsed time per iteration (s): 0.86 | learning rate: 1.945E-04 | global batch size: 256 | lm loss: 2.694789E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 297.305 | TFLOPs: 17.99 | 31: iteration 2800/ 23189 | consumed samples: 716800 | consumed tokens: 1468006400 | elapsed time per iteration (s): 0.79 | learning rate: 1.945E-04 | global batch size: 256 | lm loss: 2.714795E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.238 | TFLOPs: 19.62 | 31: iteration 2810/ 23189 | consumed samples: 719360 | consumed tokens: 1473249280 | elapsed time per iteration (s): 0.84 | learning rate: 1.945E-04 | global batch size: 256 | lm loss: 2.635467E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 302.960 | TFLOPs: 18.33 | 31: iteration 2820/ 23189 | consumed samples: 721920 | consumed tokens: 1478492160 | elapsed time per iteration (s): 0.84 | learning rate: 1.944E-04 | global batch size: 256 | lm loss: 2.707615E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.419 | TFLOPs: 18.36 | 31: iteration 2830/ 23189 | consumed samples: 724480 | consumed tokens: 1483735040 | elapsed time per iteration (s): 0.75 | learning rate: 1.944E-04 | global batch size: 256 | lm loss: 2.698380E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.150 | TFLOPs: 20.52 | 31: iteration 2840/ 23189 | consumed samples: 727040 | consumed tokens: 1488977920 | elapsed time per iteration (s): 0.78 | learning rate: 1.943E-04 | global batch size: 256 | lm loss: 2.655318E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.495 | TFLOPs: 19.75 | 31: iteration 2850/ 23189 | consumed samples: 729600 | consumed tokens: 1494220800 | elapsed time per iteration (s): 0.73 | learning rate: 1.943E-04 | global batch size: 256 | lm loss: 2.677037E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.984 | TFLOPs: 21.29 | 31: iteration 2860/ 23189 | consumed samples: 732160 | consumed tokens: 1499463680 | elapsed time per iteration (s): 0.81 | learning rate: 1.942E-04 | global batch size: 256 | lm loss: 2.675485E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.794 | TFLOPs: 19.17 | 31: iteration 2870/ 23189 | consumed samples: 734720 | consumed tokens: 1504706560 | elapsed time per iteration (s): 0.79 | learning rate: 1.942E-04 | global batch size: 256 | lm loss: 2.683146E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.361 | TFLOPs: 19.50 | 31: iteration 2880/ 23189 | consumed samples: 737280 | consumed tokens: 1509949440 | elapsed time per iteration (s): 0.75 | learning rate: 1.942E-04 | global batch size: 256 | lm loss: 2.670442E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.379 | TFLOPs: 20.53 | 31: iteration 2890/ 23189 | consumed samples: 739840 | consumed tokens: 1515192320 | elapsed time per iteration (s): 0.77 | learning rate: 1.941E-04 | global batch size: 256 | lm loss: 2.653229E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.373 | TFLOPs: 20.23 | 31: iteration 2900/ 23189 | consumed samples: 742400 | consumed tokens: 1520435200 | elapsed time per iteration (s): 0.81 | learning rate: 1.941E-04 | global batch size: 256 | lm loss: 2.674009E+00 | grad norm: 0.858 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.796 | TFLOPs: 19.23 | 31: iteration 2910/ 23189 | consumed samples: 744960 | consumed tokens: 1525678080 | elapsed time per iteration (s): 0.75 | learning rate: 1.940E-04 | global batch size: 256 | lm loss: 2.722799E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.267 | TFLOPs: 20.71 | 31: iteration 2920/ 23189 | consumed samples: 747520 | consumed tokens: 1530920960 | elapsed time per iteration (s): 0.74 | learning rate: 1.940E-04 | global batch size: 256 | lm loss: 2.654156E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.039 | TFLOPs: 20.81 | 31: iteration 2930/ 23189 | consumed samples: 750080 | consumed tokens: 1536163840 | elapsed time per iteration (s): 0.80 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 2.639042E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.012 | TFLOPs: 19.36 | 31: iteration 2940/ 23189 | consumed samples: 752640 | consumed tokens: 1541406720 | elapsed time per iteration (s): 0.77 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 2.640720E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.101 | TFLOPs: 20.09 | 31: iteration 2950/ 23189 | consumed samples: 755200 | consumed tokens: 1546649600 | elapsed time per iteration (s): 0.76 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 2.632035E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.821 | TFLOPs: 20.38 | 31: iteration 2960/ 23189 | consumed samples: 757760 | consumed tokens: 1551892480 | elapsed time per iteration (s): 0.77 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 2.680244E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.829 | TFLOPs: 20.14 | 31: iteration 2970/ 23189 | consumed samples: 760320 | consumed tokens: 1557135360 | elapsed time per iteration (s): 0.77 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 2.685362E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.833 | TFLOPs: 20.20 | 31: iteration 2980/ 23189 | consumed samples: 762880 | consumed tokens: 1562378240 | elapsed time per iteration (s): 0.74 | learning rate: 1.937E-04 | global batch size: 256 | lm loss: 2.660093E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.741 | TFLOPs: 20.80 | 31: iteration 2990/ 23189 | consumed samples: 765440 | consumed tokens: 1567621120 | elapsed time per iteration (s): 0.75 | learning rate: 1.937E-04 | global batch size: 256 | lm loss: 2.648697E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.718 | TFLOPs: 20.61 | 31: iteration 3000/ 23189 | consumed samples: 768000 | consumed tokens: 1572864000 | elapsed time per iteration (s): 0.87 | learning rate: 1.936E-04 | global batch size: 256 | lm loss: 2.651214E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 292.947 | TFLOPs: 17.72 | 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 3000 | lm loss value: 2.602796E+00 | lm loss PPL: 1.350144E+01 | 31: ------------------------------------------------------------------------------------------ 31: iteration 3010/ 23189 | consumed samples: 770560 | consumed tokens: 1578106880 | elapsed time per iteration (s): 0.81 | learning rate: 1.936E-04 | global batch size: 256 | lm loss: 2.629536E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.316 | TFLOPs: 19.20 | 31: iteration 3020/ 23189 | consumed samples: 773120 | consumed tokens: 1583349760 | elapsed time per iteration (s): 0.79 | learning rate: 1.935E-04 | global batch size: 256 | lm loss: 2.647298E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.063 | TFLOPs: 19.73 | 31: iteration 3030/ 23189 | consumed samples: 775680 | consumed tokens: 1588592640 | elapsed time per iteration (s): 0.79 | learning rate: 1.935E-04 | global batch size: 256 | lm loss: 2.605909E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.402 | TFLOPs: 19.56 | 31: iteration 3040/ 23189 | consumed samples: 778240 | consumed tokens: 1593835520 | elapsed time per iteration (s): 0.76 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 2.644765E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.867 | TFLOPs: 20.26 | 31: iteration 3050/ 23189 | consumed samples: 780800 | consumed tokens: 1599078400 | elapsed time per iteration (s): 0.73 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 2.649990E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.635 | TFLOPs: 21.21 | 31: iteration 3060/ 23189 | consumed samples: 783360 | consumed tokens: 1604321280 | elapsed time per iteration (s): 0.75 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 2.666596E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.062 | TFLOPs: 20.63 | 31: iteration 3070/ 23189 | consumed samples: 785920 | consumed tokens: 1609564160 | elapsed time per iteration (s): 0.75 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 2.667547E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.217 | TFLOPs: 20.64 | 31: iteration 3080/ 23189 | consumed samples: 788480 | consumed tokens: 1614807040 | elapsed time per iteration (s): 0.76 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 2.638517E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.283 | TFLOPs: 20.47 | 31: iteration 3090/ 23189 | consumed samples: 791040 | consumed tokens: 1620049920 | elapsed time per iteration (s): 0.83 | learning rate: 1.932E-04 | global batch size: 256 | lm loss: 2.639008E+00 | grad norm: 0.506 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.567 | TFLOPs: 18.73 | 31: iteration 3100/ 23189 | consumed samples: 793600 | consumed tokens: 1625292800 | elapsed time per iteration (s): 0.72 | learning rate: 1.932E-04 | global batch size: 256 | lm loss: 2.666510E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.040 | TFLOPs: 21.42 | 31: iteration 3110/ 23189 | consumed samples: 796160 | consumed tokens: 1630535680 | elapsed time per iteration (s): 0.78 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 2.603972E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.772 | TFLOPs: 19.95 | 31: iteration 3120/ 23189 | consumed samples: 798720 | consumed tokens: 1635778560 | elapsed time per iteration (s): 0.76 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 2.644857E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.932 | TFLOPs: 20.26 | 31: iteration 3130/ 23189 | consumed samples: 801280 | consumed tokens: 1641021440 | elapsed time per iteration (s): 0.75 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 2.637018E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.350 | TFLOPs: 20.71 | 31: iteration 3140/ 23189 | consumed samples: 803840 | consumed tokens: 1646264320 | elapsed time per iteration (s): 0.74 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 2.613213E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.654 | TFLOPs: 20.79 | 31: iteration 3150/ 23189 | consumed samples: 806400 | consumed tokens: 1651507200 | elapsed time per iteration (s): 0.75 | learning rate: 1.929E-04 | global batch size: 256 | lm loss: 2.648907E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.614 | TFLOPs: 20.61 | 31: iteration 3160/ 23189 | consumed samples: 808960 | consumed tokens: 1656750080 | elapsed time per iteration (s): 0.73 | learning rate: 1.929E-04 | global batch size: 256 | lm loss: 2.604032E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.299 | TFLOPs: 21.25 | 31: iteration 3170/ 23189 | consumed samples: 811520 | consumed tokens: 1661992960 | elapsed time per iteration (s): 0.84 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 2.615035E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 304.692 | TFLOPs: 18.43 | 31: iteration 3180/ 23189 | consumed samples: 814080 | consumed tokens: 1667235840 | elapsed time per iteration (s): 0.81 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 2.632792E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.306 | TFLOPs: 19.08 | 31: iteration 3190/ 23189 | consumed samples: 816640 | consumed tokens: 1672478720 | elapsed time per iteration (s): 0.78 | learning rate: 1.927E-04 | global batch size: 256 | lm loss: 2.590636E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.681 | TFLOPs: 19.94 | 31: iteration 3200/ 23189 | consumed samples: 819200 | consumed tokens: 1677721600 | elapsed time per iteration (s): 0.76 | learning rate: 1.927E-04 | global batch size: 256 | lm loss: 2.595936E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.382 | TFLOPs: 20.47 | 31: iteration 3210/ 23189 | consumed samples: 821760 | consumed tokens: 1682964480 | elapsed time per iteration (s): 0.76 | learning rate: 1.926E-04 | global batch size: 256 | lm loss: 2.644814E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.119 | TFLOPs: 20.46 | 31: iteration 3220/ 23189 | consumed samples: 824320 | consumed tokens: 1688207360 | elapsed time per iteration (s): 0.78 | learning rate: 1.926E-04 | global batch size: 256 | lm loss: 2.604894E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.046 | TFLOPs: 19.85 | 31: iteration 3230/ 23189 | consumed samples: 826880 | consumed tokens: 1693450240 | elapsed time per iteration (s): 0.75 | learning rate: 1.925E-04 | global batch size: 256 | lm loss: 2.629863E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.451 | TFLOPs: 20.54 | 31: iteration 3240/ 23189 | consumed samples: 829440 | consumed tokens: 1698693120 | elapsed time per iteration (s): 0.74 | learning rate: 1.925E-04 | global batch size: 256 | lm loss: 2.605386E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.476 | TFLOPs: 20.90 | 31: iteration 3250/ 23189 | consumed samples: 832000 | consumed tokens: 1703936000 | elapsed time per iteration (s): 0.74 | learning rate: 1.924E-04 | global batch size: 256 | lm loss: 2.611480E+00 | grad norm: 3.532 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.877 | TFLOPs: 20.80 | 31: iteration 3260/ 23189 | consumed samples: 834560 | consumed tokens: 1709178880 | elapsed time per iteration (s): 0.76 | learning rate: 1.924E-04 | global batch size: 256 | lm loss: 3.244608E+00 | grad norm: 7.078 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.465 | TFLOPs: 20.29 | 31: iteration 3270/ 23189 | consumed samples: 837120 | consumed tokens: 1714421760 | elapsed time per iteration (s): 0.77 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 3.008541E+00 | grad norm: 1.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.998 | TFLOPs: 20.15 | 31: iteration 3280/ 23189 | consumed samples: 839680 | consumed tokens: 1719664640 | elapsed time per iteration (s): 0.81 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 2.846574E+00 | grad norm: 0.654 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.306 | TFLOPs: 19.01 | 31: iteration 3290/ 23189 | consumed samples: 842240 | consumed tokens: 1724907520 | elapsed time per iteration (s): 0.75 | learning rate: 1.922E-04 | global batch size: 256 | lm loss: 2.707016E+00 | grad norm: 0.493 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.013 | TFLOPs: 20.57 | 31: iteration 3300/ 23189 | consumed samples: 844800 | consumed tokens: 1730150400 | elapsed time per iteration (s): 0.75 | learning rate: 1.922E-04 | global batch size: 256 | lm loss: 2.731359E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.644 | TFLOPs: 20.55 | 31: iteration 3310/ 23189 | consumed samples: 847360 | consumed tokens: 1735393280 | elapsed time per iteration (s): 0.72 | learning rate: 1.921E-04 | global batch size: 256 | lm loss: 2.679443E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.593 | TFLOPs: 21.51 | 31: iteration 3320/ 23189 | consumed samples: 849920 | consumed tokens: 1740636160 | elapsed time per iteration (s): 0.77 | learning rate: 1.921E-04 | global batch size: 256 | lm loss: 2.677280E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.214 | TFLOPs: 20.10 | 31: iteration 3330/ 23189 | consumed samples: 852480 | consumed tokens: 1745879040 | elapsed time per iteration (s): 0.76 | learning rate: 1.920E-04 | global batch size: 256 | lm loss: 2.677841E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.825 | TFLOPs: 20.38 | 31: iteration 3340/ 23189 | consumed samples: 855040 | consumed tokens: 1751121920 | elapsed time per iteration (s): 0.87 | learning rate: 1.920E-04 | global batch size: 256 | lm loss: 2.662955E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 293.013 | TFLOPs: 17.73 | 31: iteration 3350/ 23189 | consumed samples: 857600 | consumed tokens: 1756364800 | elapsed time per iteration (s): 0.74 | learning rate: 1.919E-04 | global batch size: 256 | lm loss: 2.647284E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.101 | TFLOPs: 21.00 | 31: iteration 3360/ 23189 | consumed samples: 860160 | consumed tokens: 1761607680 | elapsed time per iteration (s): 0.79 | learning rate: 1.919E-04 | global batch size: 256 | lm loss: 2.634128E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.766 | TFLOPs: 19.65 | 31: iteration 3370/ 23189 | consumed samples: 862720 | consumed tokens: 1766850560 | elapsed time per iteration (s): 0.75 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 2.651876E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.709 | TFLOPs: 20.61 | 31: iteration 3380/ 23189 | consumed samples: 865280 | consumed tokens: 1772093440 | elapsed time per iteration (s): 0.78 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 2.631019E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.460 | TFLOPs: 19.81 | 31: iteration 3390/ 23189 | consumed samples: 867840 | consumed tokens: 1777336320 | elapsed time per iteration (s): 0.78 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 2.624871E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.663 | TFLOPs: 19.82 | 31: iteration 3400/ 23189 | consumed samples: 870400 | consumed tokens: 1782579200 | elapsed time per iteration (s): 0.77 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 2.597517E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.348 | TFLOPs: 20.17 | 31: iteration 3410/ 23189 | consumed samples: 872960 | consumed tokens: 1787822080 | elapsed time per iteration (s): 0.79 | learning rate: 1.916E-04 | global batch size: 256 | lm loss: 2.656890E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.496 | TFLOPs: 19.69 | 31: iteration 3420/ 23189 | consumed samples: 875520 | consumed tokens: 1793064960 | elapsed time per iteration (s): 0.76 | learning rate: 1.916E-04 | global batch size: 256 | lm loss: 2.642561E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.858 | TFLOPs: 20.38 | 31: iteration 3430/ 23189 | consumed samples: 878080 | consumed tokens: 1798307840 | elapsed time per iteration (s): 0.78 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 2.598138E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.894 | TFLOPs: 19.84 | 31: iteration 3440/ 23189 | consumed samples: 880640 | consumed tokens: 1803550720 | elapsed time per iteration (s): 0.77 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 2.569811E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.967 | TFLOPs: 20.14 | 31: iteration 3450/ 23189 | consumed samples: 883200 | consumed tokens: 1808793600 | elapsed time per iteration (s): 0.75 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 2.630902E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.593 | TFLOPs: 20.54 | 31: iteration 3460/ 23189 | consumed samples: 885760 | consumed tokens: 1814036480 | elapsed time per iteration (s): 0.78 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 2.604940E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.981 | TFLOPs: 19.90 | 31: iteration 3470/ 23189 | consumed samples: 888320 | consumed tokens: 1819279360 | elapsed time per iteration (s): 0.76 | learning rate: 1.913E-04 | global batch size: 256 | lm loss: 2.634342E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.808 | TFLOPs: 20.44 | 31: iteration 3480/ 23189 | consumed samples: 890880 | consumed tokens: 1824522240 | elapsed time per iteration (s): 0.78 | learning rate: 1.913E-04 | global batch size: 256 | lm loss: 2.634732E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.412 | TFLOPs: 19.75 | 31: iteration 3490/ 23189 | consumed samples: 893440 | consumed tokens: 1829765120 | elapsed time per iteration (s): 0.78 | learning rate: 1.912E-04 | global batch size: 256 | lm loss: 2.605022E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.563 | TFLOPs: 19.76 | 31: iteration 3500/ 23189 | consumed samples: 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iteration 3530/ 23189 | consumed samples: 903680 | consumed tokens: 1850736640 | elapsed time per iteration (s): 0.85 | learning rate: 1.910E-04 | global batch size: 256 | lm loss: 2.596791E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 301.885 | TFLOPs: 18.26 | 31: iteration 3540/ 23189 | consumed samples: 906240 | consumed tokens: 1855979520 | elapsed time per iteration (s): 0.75 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 2.615593E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.729 | TFLOPs: 20.55 | 31: iteration 3550/ 23189 | consumed samples: 908800 | consumed tokens: 1861222400 | elapsed time per iteration (s): 0.77 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 2.626051E+00 | grad norm: 0.612 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.215 | TFLOPs: 20.16 | 31: iteration 3560/ 23189 | consumed samples: 911360 | consumed tokens: 1866465280 | elapsed time per iteration (s): 0.75 | learning rate: 1.908E-04 | global batch size: 256 | lm loss: 2.642143E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.177 | TFLOPs: 20.76 | 31: iteration 3570/ 23189 | consumed samples: 913920 | consumed tokens: 1871708160 | elapsed time per iteration (s): 0.82 | learning rate: 1.908E-04 | global batch size: 256 | lm loss: 2.616200E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.387 | TFLOPs: 18.96 | 31: iteration 3580/ 23189 | consumed samples: 916480 | consumed tokens: 1876951040 | elapsed time per iteration (s): 0.75 | learning rate: 1.907E-04 | global batch size: 256 | lm loss: 2.623656E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.715 | TFLOPs: 20.61 | 31: iteration 3590/ 23189 | consumed samples: 919040 | consumed tokens: 1882193920 | elapsed time per iteration (s): 0.76 | learning rate: 1.907E-04 | global batch size: 256 | lm loss: 2.577220E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.802 | TFLOPs: 20.50 | 31: iteration 3600/ 23189 | consumed samples: 921600 | consumed tokens: 1887436800 | elapsed time per iteration (s): 0.76 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 2.591252E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.526 | TFLOPs: 20.48 | 31: iteration 3610/ 23189 | consumed samples: 924160 | consumed tokens: 1892679680 | elapsed time per iteration (s): 0.80 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 2.612250E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.972 | TFLOPs: 19.48 | 31: iteration 3620/ 23189 | consumed samples: 926720 | consumed tokens: 1897922560 | elapsed time per iteration (s): 0.78 | learning rate: 1.905E-04 | global batch size: 256 | lm loss: 2.576346E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.480 | TFLOPs: 19.81 | 31: iteration 3630/ 23189 | consumed samples: 929280 | consumed tokens: 1903165440 | elapsed time per iteration (s): 0.77 | learning rate: 1.904E-04 | global batch size: 256 | lm loss: 2.608245E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.159 | TFLOPs: 20.22 | 31: iteration 3640/ 23189 | consumed samples: 931840 | consumed tokens: 1908408320 | elapsed time per iteration (s): 0.77 | learning rate: 1.904E-04 | global batch size: 256 | lm loss: 2.617959E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.833 | TFLOPs: 20.08 | 31: iteration 3650/ 23189 | consumed samples: 934400 | consumed tokens: 1913651200 | elapsed time per iteration (s): 0.82 | learning rate: 1.903E-04 | global batch size: 256 | lm loss: 2.577172E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.415 | TFLOPs: 18.78 | 31: iteration 3660/ 23189 | consumed samples: 936960 | consumed tokens: 1918894080 | elapsed time per iteration (s): 0.81 | learning rate: 1.903E-04 | global batch size: 256 | lm loss: 2.583557E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.512 | TFLOPs: 19.21 | 31: iteration 3670/ 23189 | consumed samples: 939520 | consumed tokens: 1924136960 | elapsed time per iteration (s): 0.78 | learning rate: 1.902E-04 | global batch size: 256 | lm loss: 2.576847E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.759 | TFLOPs: 19.95 | 31: iteration 3680/ 23189 | consumed samples: 942080 | consumed tokens: 1929379840 | elapsed time per iteration (s): 0.74 | learning rate: 1.902E-04 | global batch size: 256 | lm loss: 2.611499E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.031 | TFLOPs: 20.93 | 31: iteration 3690/ 23189 | consumed samples: 944640 | consumed tokens: 1934622720 | elapsed time per iteration (s): 0.75 | learning rate: 1.901E-04 | global batch size: 256 | lm loss: 2.607041E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.535 | TFLOPs: 20.60 | 31: iteration 3700/ 23189 | consumed samples: 947200 | consumed tokens: 1939865600 | elapsed time per iteration (s): 0.74 | learning rate: 1.901E-04 | global batch size: 256 | lm loss: 2.583830E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.786 | TFLOPs: 20.80 | 31: iteration 3710/ 23189 | consumed samples: 949760 | consumed tokens: 1945108480 | elapsed time per iteration (s): 0.74 | learning rate: 1.900E-04 | global batch size: 256 | lm loss: 2.589352E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.015 | TFLOPs: 20.81 | 31: iteration 3720/ 23189 | consumed samples: 952320 | consumed tokens: 1950351360 | elapsed time per iteration (s): 0.77 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 2.602646E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.310 | TFLOPs: 20.04 | 31: iteration 3730/ 23189 | consumed samples: 954880 | consumed tokens: 1955594240 | elapsed time per iteration (s): 0.76 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 2.593931E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.684 | TFLOPs: 20.31 | 31: iteration 3740/ 23189 | consumed samples: 957440 | consumed tokens: 1960837120 | elapsed time per iteration (s): 0.76 | learning rate: 1.898E-04 | global batch size: 256 | lm loss: 2.580275E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.942 | TFLOPs: 20.38 | 31: iteration 3750/ 23189 | consumed samples: 960000 | consumed tokens: 1966080000 | elapsed time per iteration (s): 0.78 | learning rate: 1.898E-04 | global batch size: 256 | lm loss: 2.608507E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.710 | TFLOPs: 19.95 | 31: iteration 3760/ 23189 | consumed samples: 962560 | consumed tokens: 1971322880 | elapsed time per iteration (s): 0.75 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 2.558442E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.687 | TFLOPs: 20.61 | 31: iteration 3770/ 23189 | consumed samples: 965120 | consumed tokens: 1976565760 | elapsed time per iteration (s): 0.78 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 2.584361E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.990 | TFLOPs: 19.90 | 31: iteration 3780/ 23189 | consumed samples: 967680 | consumed tokens: 1981808640 | elapsed time per iteration (s): 0.76 | learning rate: 1.896E-04 | global batch size: 256 | lm loss: 2.579528E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.775 | TFLOPs: 20.37 | 31: iteration 3790/ 23189 | consumed samples: 970240 | consumed tokens: 1987051520 | elapsed time per iteration (s): 0.81 | learning rate: 1.895E-04 | global batch size: 256 | lm loss: 2.589943E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.618 | TFLOPs: 19.15 | 31: iteration 3800/ 23189 | consumed samples: 972800 | consumed tokens: 1992294400 | elapsed time per iteration (s): 0.73 | learning rate: 1.895E-04 | global batch size: 256 | lm loss: 2.591829E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.645 | TFLOPs: 21.33 | 31: iteration 3810/ 23189 | consumed samples: 975360 | consumed tokens: 1997537280 | elapsed time per iteration (s): 0.74 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 2.579232E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.364 | TFLOPs: 20.95 | 31: iteration 3820/ 23189 | consumed samples: 977920 | consumed tokens: 2002780160 | elapsed time per iteration (s): 0.74 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 2.593016E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.828 | TFLOPs: 20.92 | 31: iteration 3830/ 23189 | consumed samples: 980480 | consumed tokens: 2008023040 | elapsed time per iteration (s): 0.78 | learning rate: 1.893E-04 | global batch size: 256 | lm loss: 2.607832E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.407 | TFLOPs: 19.81 | 31: iteration 3840/ 23189 | consumed samples: 983040 | consumed tokens: 2013265920 | elapsed time per iteration (s): 0.84 | learning rate: 1.893E-04 | global batch size: 256 | lm loss: 2.574783E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.533 | TFLOPs: 18.48 | 31: iteration 3850/ 23189 | consumed samples: 985600 | consumed tokens: 2018508800 | elapsed time per iteration (s): 0.75 | learning rate: 1.892E-04 | global batch size: 256 | lm loss: 2.549437E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.323 | TFLOPs: 20.77 | 31: iteration 3860/ 23189 | consumed samples: 988160 | consumed tokens: 2023751680 | elapsed time per iteration (s): 0.82 | learning rate: 1.891E-04 | global batch size: 256 | lm loss: 2.566701E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.375 | TFLOPs: 18.78 | 31: iteration 3870/ 23189 | consumed samples: 990720 | consumed tokens: 2028994560 | elapsed time per iteration (s): 0.76 | learning rate: 1.891E-04 | global batch size: 256 | lm loss: 2.536577E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.905 | TFLOPs: 20.32 | 31: iteration 3880/ 23189 | consumed samples: 993280 | consumed tokens: 2034237440 | elapsed time per iteration (s): 0.74 | learning rate: 1.890E-04 | global batch size: 256 | lm loss: 2.587278E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.121 | TFLOPs: 20.88 | 31: iteration 3890/ 23189 | consumed samples: 995840 | consumed tokens: 2039480320 | elapsed time per iteration (s): 0.77 | learning rate: 1.890E-04 | global batch size: 256 | lm loss: 2.654940E+00 | grad norm: 0.453 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.121 | TFLOPs: 20.03 | 31: iteration 3900/ 23189 | consumed samples: 998400 | consumed tokens: 2044723200 | elapsed time per iteration (s): 0.74 | learning rate: 1.889E-04 | global batch size: 256 | lm loss: 2.581578E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.513 | TFLOPs: 20.84 | 31: iteration 3910/ 23189 | consumed samples: 1000960 | consumed tokens: 2049966080 | elapsed time per iteration (s): 0.81 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 2.586080E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.182 | TFLOPs: 19.07 | 31: iteration 3920/ 23189 | consumed samples: 1003520 | consumed tokens: 2055208960 | elapsed time per iteration (s): 0.80 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 2.559607E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.194 | TFLOPs: 19.25 | 31: iteration 3930/ 23189 | consumed samples: 1006080 | consumed tokens: 2060451840 | elapsed time per iteration (s): 0.79 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 2.602573E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.397 | TFLOPs: 19.69 | 31: iteration 3940/ 23189 | consumed samples: 1008640 | consumed tokens: 2065694720 | elapsed time per iteration (s): 0.73 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 2.539328E+00 | grad norm: 0.394 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.611 | TFLOPs: 21.15 | 31: iteration 3950/ 23189 | consumed samples: 1011200 | consumed tokens: 2070937600 | elapsed time per iteration (s): 0.83 | learning rate: 1.886E-04 | global batch size: 256 | lm loss: 2.563721E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.280 | TFLOPs: 18.59 | 31: iteration 3960/ 23189 | consumed samples: 1013760 | consumed tokens: 2076180480 | elapsed time per iteration (s): 0.73 | learning rate: 1.885E-04 | global batch size: 256 | lm loss: 2.537298E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.504 | TFLOPs: 21.14 | 31: iteration 3970/ 23189 | consumed samples: 1016320 | consumed tokens: 2081423360 | elapsed time per iteration (s): 0.78 | learning rate: 1.885E-04 | global batch size: 256 | lm loss: 2.594950E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.956 | TFLOPs: 19.78 | 31: iteration 3980/ 23189 | consumed samples: 1018880 | consumed tokens: 2086666240 | elapsed time per iteration (s): 0.75 | learning rate: 1.884E-04 | global batch size: 256 | lm loss: 2.570717E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.801 | TFLOPs: 20.62 | 31: iteration 3990/ 23189 | consumed samples: 1021440 | consumed tokens: 2091909120 | elapsed time per iteration (s): 0.81 | learning rate: 1.884E-04 | global batch size: 256 | lm loss: 2.585149E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.912 | TFLOPs: 19.23 | 0: [2022-11-28 18:43:51,308] [INFO] [logging.py:68:log_dist] [Rank 0] step=4000, skipped=0, lr=[0.00018829757930493755, 0.00018829757930493755, 0.00018829757930493755], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 4000/ 23189 | consumed samples: 1024000 | consumed tokens: 2097152000 | elapsed time per iteration (s): 0.79 | learning rate: 1.883E-04 | global batch size: 256 | lm loss: 2.543566E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.091 | TFLOPs: 19.55 | 0: steps: 4000 loss: 2.5079 iter time (s): 0.787 samples/sec: 325.125 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 4000 | lm loss value: 2.633297E+00 | lm loss PPL: 1.391959E+01 | 31: ------------------------------------------------------------------------------------------ 31: iteration 4010/ 23189 | consumed samples: 1026560 | consumed tokens: 2102394880 | elapsed time per iteration (s): 0.86 | learning rate: 1.882E-04 | global batch size: 256 | lm loss: 2.551879E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 298.202 | TFLOPs: 18.04 | 31: iteration 4020/ 23189 | consumed samples: 1029120 | consumed tokens: 2107637760 | elapsed time per iteration (s): 0.83 | learning rate: 1.882E-04 | global batch size: 256 | lm loss: 2.582574E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.599 | TFLOPs: 18.73 | 31: iteration 4030/ 23189 | consumed samples: 1031680 | consumed tokens: 2112880640 | elapsed time per iteration (s): 0.83 | learning rate: 1.881E-04 | global batch size: 256 | lm loss: 2.551169E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.468 | TFLOPs: 18.72 | 31: iteration 4040/ 23189 | consumed samples: 1034240 | consumed tokens: 2118123520 | elapsed time per iteration (s): 0.80 | learning rate: 1.881E-04 | global batch size: 256 | lm loss: 2.525443E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.718 | TFLOPs: 19.28 | 31: iteration 4050/ 23189 | consumed samples: 1036800 | consumed tokens: 2123366400 | elapsed time per iteration (s): 0.78 | learning rate: 1.880E-04 | global batch size: 256 | lm loss: 2.535649E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.383 | TFLOPs: 19.87 | 31: iteration 4060/ 23189 | consumed samples: 1039360 | consumed tokens: 2128609280 | elapsed time per iteration (s): 0.76 | learning rate: 1.879E-04 | global batch size: 256 | lm loss: 2.572490E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.879 | TFLOPs: 20.44 | 31: iteration 4070/ 23189 | consumed samples: 1041920 | consumed tokens: 2133852160 | elapsed time per iteration (s): 0.75 | learning rate: 1.879E-04 | global batch size: 256 | lm loss: 2.582992E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.015 | TFLOPs: 20.57 | 31: iteration 4080/ 23189 | consumed samples: 1044480 | consumed tokens: 2139095040 | elapsed time per iteration (s): 0.77 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 2.551317E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.956 | TFLOPs: 20.02 | 31: iteration 4090/ 23189 | consumed samples: 1047040 | consumed tokens: 2144337920 | elapsed time per iteration (s): 0.75 | learning rate: 1.877E-04 | global batch size: 256 | lm loss: 2.560651E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.962 | TFLOPs: 20.75 | 31: iteration 4100/ 23189 | consumed samples: 1049600 | consumed tokens: 2149580800 | elapsed time per iteration (s): 0.77 | learning rate: 1.877E-04 | global batch size: 256 | lm loss: 2.552990E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.434 | TFLOPs: 20.23 | 31: iteration 4110/ 23189 | consumed samples: 1052160 | consumed tokens: 2154823680 | elapsed time per iteration (s): 0.76 | learning rate: 1.876E-04 | global batch size: 256 | lm loss: 2.518096E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.182 | TFLOPs: 20.46 | 31: iteration 4120/ 23189 | consumed samples: 1054720 | consumed tokens: 2160066560 | elapsed time per iteration (s): 0.75 | learning rate: 1.876E-04 | global batch size: 256 | lm loss: 2.513296E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.515 | TFLOPs: 20.66 | 31: iteration 4130/ 23189 | consumed samples: 1057280 | consumed tokens: 2165309440 | elapsed time per iteration (s): 0.73 | learning rate: 1.875E-04 | global batch size: 256 | lm loss: 2.519338E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.509 | TFLOPs: 21.20 | 31: iteration 4140/ 23189 | consumed samples: 1059840 | consumed tokens: 2170552320 | elapsed time per iteration (s): 0.82 | learning rate: 1.874E-04 | global batch size: 256 | lm loss: 2.535682E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.829 | TFLOPs: 18.86 | 31: iteration 4150/ 23189 | consumed samples: 1062400 | consumed tokens: 2175795200 | elapsed time per iteration (s): 0.79 | learning rate: 1.874E-04 | global batch size: 256 | lm loss: 2.548755E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.590 | TFLOPs: 19.52 | 31: iteration 4160/ 23189 | consumed samples: 1064960 | consumed tokens: 2181038080 | elapsed time per iteration (s): 0.75 | learning rate: 1.873E-04 | global batch size: 256 | lm loss: 2.547127E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.195 | TFLOPs: 20.64 | 31: iteration 4170/ 23189 | consumed samples: 1067520 | consumed tokens: 2186280960 | elapsed time per iteration (s): 0.79 | learning rate: 1.872E-04 | global batch size: 256 | lm loss: 2.522393E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.596 | TFLOPs: 19.52 | 31: iteration 4180/ 23189 | consumed samples: 1070080 | consumed tokens: 2191523840 | elapsed time per iteration (s): 0.81 | learning rate: 1.872E-04 | global batch size: 256 | lm loss: 2.541632E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.902 | TFLOPs: 19.05 | 31: iteration 4190/ 23189 | consumed samples: 1072640 | consumed tokens: 2196766720 | elapsed time per iteration (s): 0.77 | learning rate: 1.871E-04 | global batch size: 256 | lm loss: 2.509317E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.003 | TFLOPs: 20.15 | 31: iteration 4200/ 23189 | consumed samples: 1075200 | consumed tokens: 2202009600 | elapsed time per iteration (s): 0.76 | learning rate: 1.871E-04 | global batch size: 256 | lm loss: 2.543174E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.180 | TFLOPs: 20.46 | 31: iteration 4210/ 23189 | consumed samples: 1077760 | consumed tokens: 2207252480 | elapsed time per iteration (s): 0.77 | learning rate: 1.870E-04 | global batch size: 256 | lm loss: 2.539527E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.511 | TFLOPs: 20.00 | 31: iteration 4220/ 23189 | consumed samples: 1080320 | consumed tokens: 2212495360 | elapsed time per iteration (s): 0.76 | learning rate: 1.869E-04 | global batch size: 256 | lm loss: 2.559815E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.212 | TFLOPs: 20.34 | 31: iteration 4230/ 23189 | consumed samples: 1082880 | consumed tokens: 2217738240 | elapsed time per iteration (s): 0.75 | learning rate: 1.869E-04 | global batch size: 256 | lm loss: 2.537495E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.782 | TFLOPs: 20.62 | 31: iteration 4240/ 23189 | consumed samples: 1085440 | consumed tokens: 2222981120 | elapsed time per iteration (s): 0.78 | learning rate: 1.868E-04 | global batch size: 256 | lm loss: 2.537994E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.267 | TFLOPs: 19.80 | 31: iteration 4250/ 23189 | consumed samples: 1088000 | consumed tokens: 2228224000 | elapsed time per iteration (s): 0.77 | learning rate: 1.867E-04 | global batch size: 256 | lm loss: 2.518199E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.881 | TFLOPs: 20.02 | 31: iteration 4260/ 23189 | consumed samples: 1090560 | consumed tokens: 2233466880 | elapsed time per iteration (s): 0.75 | learning rate: 1.867E-04 | global batch size: 256 | lm loss: 2.543114E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.757 | TFLOPs: 20.68 | 31: iteration 4270/ 23189 | consumed samples: 1093120 | consumed tokens: 2238709760 | elapsed time per iteration (s): 0.76 | learning rate: 1.866E-04 | global batch size: 256 | lm loss: 2.502434E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.659 | TFLOPs: 20.25 | 31: iteration 4280/ 23189 | consumed samples: 1095680 | consumed tokens: 2243952640 | elapsed time per iteration (s): 0.80 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 2.538658E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.537 | TFLOPs: 19.27 | 31: iteration 4290/ 23189 | consumed samples: 1098240 | consumed tokens: 2249195520 | elapsed time per iteration (s): 0.84 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 2.520781E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.871 | TFLOPs: 18.50 | 31: iteration 4300/ 23189 | consumed samples: 1100800 | consumed tokens: 2254438400 | elapsed time per iteration (s): 0.84 | learning rate: 1.864E-04 | global batch size: 256 | lm loss: 2.537646E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 304.219 | TFLOPs: 18.40 | 31: iteration 4310/ 23189 | consumed samples: 1103360 | consumed tokens: 2259681280 | elapsed time per iteration (s): 0.77 | learning rate: 1.863E-04 | global batch size: 256 | lm loss: 2.527541E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.487 | TFLOPs: 20.24 | 31: iteration 4320/ 23189 | consumed samples: 1105920 | consumed tokens: 2264924160 | elapsed time per iteration (s): 0.82 | learning rate: 1.863E-04 | global batch size: 256 | lm loss: 2.524357E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.125 | TFLOPs: 18.88 | 31: iteration 4330/ 23189 | consumed samples: 1108480 | consumed tokens: 2270167040 | elapsed time per iteration (s): 0.80 | learning rate: 1.862E-04 | global batch size: 256 | lm loss: 2.500409E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.728 | TFLOPs: 19.28 | 31: iteration 4340/ 23189 | consumed samples: 1111040 | consumed tokens: 2275409920 | elapsed time per iteration (s): 0.85 | learning rate: 1.861E-04 | global batch size: 256 | lm loss: 2.561201E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 300.187 | TFLOPs: 18.16 | 31: iteration 4350/ 23189 | consumed samples: 1113600 | consumed tokens: 2280652800 | elapsed time per iteration (s): 0.81 | learning rate: 1.861E-04 | global batch size: 256 | lm loss: 2.531316E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.284 | TFLOPs: 19.13 | 31: iteration 4360/ 23189 | consumed samples: 1116160 | consumed tokens: 2285895680 | elapsed time per iteration (s): 0.79 | learning rate: 1.860E-04 | global batch size: 256 | lm loss: 2.524329E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.131 | TFLOPs: 19.61 | 31: iteration 4370/ 23189 | consumed samples: 1118720 | consumed tokens: 2291138560 | elapsed time per iteration (s): 0.81 | learning rate: 1.860E-04 | global batch size: 256 | lm loss: 2.558968E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.118 | TFLOPs: 19.12 | 31: iteration 4380/ 23189 | consumed samples: 1121280 | consumed tokens: 2296381440 | elapsed time per iteration (s): 0.88 | learning rate: 1.859E-04 | global batch size: 256 | lm loss: 2.522701E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.250 | TFLOPs: 17.56 | 31: iteration 4390/ 23189 | consumed samples: 1123840 | consumed tokens: 2301624320 | elapsed time per iteration (s): 0.85 | learning rate: 1.858E-04 | global batch size: 256 | lm loss: 2.552253E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 301.996 | TFLOPs: 18.27 | 31: iteration 4400/ 23189 | consumed samples: 1126400 | consumed tokens: 2306867200 | elapsed time per iteration (s): 0.78 | learning rate: 1.858E-04 | global batch size: 256 | lm loss: 2.531140E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.000 | TFLOPs: 19.84 | 31: iteration 4410/ 23189 | consumed samples: 1128960 | consumed tokens: 2312110080 | elapsed time per iteration (s): 0.85 | learning rate: 1.857E-04 | global batch size: 256 | lm loss: 2.508178E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 302.916 | TFLOPs: 18.33 | 31: iteration 4420/ 23189 | consumed samples: 1131520 | consumed tokens: 2317352960 | elapsed time per iteration (s): 0.79 | learning rate: 1.856E-04 | global batch size: 256 | lm loss: 2.518885E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.048 | TFLOPs: 19.66 | 31: iteration 4430/ 23189 | consumed samples: 1134080 | consumed tokens: 2322595840 | elapsed time per iteration (s): 0.80 | learning rate: 1.856E-04 | global batch size: 256 | lm loss: 2.495551E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.722 | TFLOPs: 19.34 | 31: iteration 4440/ 23189 | consumed samples: 1136640 | consumed tokens: 2327838720 | elapsed time per iteration (s): 0.82 | learning rate: 1.855E-04 | global batch size: 256 | lm loss: 2.529954E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.007 | TFLOPs: 19.00 | 31: iteration 4450/ 23189 | consumed samples: 1139200 | consumed tokens: 2333081600 | elapsed time per iteration (s): 0.82 | learning rate: 1.854E-04 | global batch size: 256 | lm loss: 2.534167E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.365 | TFLOPs: 18.90 | 31: iteration 4460/ 23189 | consumed samples: 1141760 | consumed tokens: 2338324480 | elapsed time per iteration (s): 0.85 | learning rate: 1.854E-04 | global batch size: 256 | lm loss: 2.472510E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 301.922 | TFLOPs: 18.27 | 31: iteration 4470/ 23189 | consumed samples: 1144320 | consumed tokens: 2343567360 | elapsed time per iteration (s): 0.79 | learning rate: 1.853E-04 | global batch size: 256 | lm loss: 2.510886E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.265 | TFLOPs: 19.50 | 31: iteration 4480/ 23189 | consumed samples: 1146880 | consumed tokens: 2348810240 | elapsed time per iteration (s): 0.90 | learning rate: 1.852E-04 | global batch size: 256 | lm loss: 2.529222E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.080 | TFLOPs: 17.19 | 31: iteration 4490/ 23189 | consumed samples: 1149440 | consumed tokens: 2354053120 | elapsed time per iteration (s): 0.82 | learning rate: 1.851E-04 | global batch size: 256 | lm loss: 2.484973E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.685 | TFLOPs: 18.86 | 31: iteration 4500/ 23189 | consumed samples: 1152000 | consumed tokens: 2359296000 | elapsed time per iteration (s): 0.77 | learning rate: 1.851E-04 | global batch size: 256 | lm loss: 2.515522E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.144 | TFLOPs: 20.03 | 31: iteration 4510/ 23189 | consumed samples: 1154560 | consumed tokens: 2364538880 | elapsed time per iteration (s): 0.75 | learning rate: 1.850E-04 | global batch size: 256 | lm loss: 2.498030E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.505 | TFLOPs: 20.60 | 31: iteration 4520/ 23189 | consumed samples: 1157120 | consumed tokens: 2369781760 | elapsed time per iteration (s): 0.78 | learning rate: 1.849E-04 | global batch size: 256 | lm loss: 2.520197E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.442 | TFLOPs: 19.75 | 31: iteration 4530/ 23189 | consumed samples: 1159680 | consumed tokens: 2375024640 | elapsed time per iteration (s): 0.76 | learning rate: 1.849E-04 | global batch size: 256 | lm loss: 2.543831E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.082 | TFLOPs: 20.33 | 31: iteration 4540/ 23189 | consumed samples: 1162240 | consumed tokens: 2380267520 | elapsed time per iteration (s): 0.78 | learning rate: 1.848E-04 | global batch size: 256 | lm loss: 2.523037E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.265 | TFLOPs: 19.92 | 31: iteration 4550/ 23189 | consumed samples: 1164800 | consumed tokens: 2385510400 | elapsed time per iteration (s): 0.78 | learning rate: 1.847E-04 | global batch size: 256 | lm loss: 2.497724E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.045 | TFLOPs: 19.79 | 31: iteration 4560/ 23189 | consumed samples: 1167360 | consumed tokens: 2390753280 | elapsed time per iteration (s): 0.73 | learning rate: 1.847E-04 | global batch size: 256 | lm loss: 2.514340E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.581 | TFLOPs: 21.21 | 31: iteration 4570/ 23189 | consumed samples: 1169920 | consumed tokens: 2395996160 | elapsed time per iteration (s): 0.73 | learning rate: 1.846E-04 | global batch size: 256 | lm loss: 2.501754E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.043 | TFLOPs: 21.12 | 31: iteration 4580/ 23189 | consumed samples: 1172480 | consumed tokens: 2401239040 | elapsed time per iteration (s): 0.79 | learning rate: 1.845E-04 | global batch size: 256 | lm loss: 2.519753E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.466 | TFLOPs: 19.57 | 31: iteration 4590/ 23189 | consumed samples: 1175040 | consumed tokens: 2406481920 | elapsed time per iteration (s): 0.82 | learning rate: 1.845E-04 | global batch size: 256 | lm loss: 2.476293E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.937 | TFLOPs: 18.99 | 31: iteration 4600/ 23189 | consumed samples: 1177600 | consumed tokens: 2411724800 | elapsed time per iteration (s): 0.84 | learning rate: 1.844E-04 | global batch size: 256 | lm loss: 2.539729E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 306.355 | TFLOPs: 18.53 | 31: iteration 4610/ 23189 | consumed samples: 1180160 | consumed tokens: 2416967680 | elapsed time per iteration (s): 0.78 | learning rate: 1.843E-04 | global batch size: 256 | lm loss: 2.508304E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.243 | TFLOPs: 19.98 | 31: iteration 4620/ 23189 | consumed samples: 1182720 | consumed tokens: 2422210560 | elapsed time per iteration (s): 0.86 | learning rate: 1.843E-04 | global batch size: 256 | lm loss: 2.514721E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 298.392 | TFLOPs: 18.05 | 31: iteration 4630/ 23189 | consumed samples: 1185280 | consumed tokens: 2427453440 | elapsed time per iteration (s): 0.74 | learning rate: 1.842E-04 | global batch size: 256 | lm loss: 2.531027E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.204 | TFLOPs: 20.82 | 31: iteration 4640/ 23189 | consumed samples: 1187840 | consumed tokens: 2432696320 | elapsed time per iteration (s): 0.77 | learning rate: 1.841E-04 | global batch size: 256 | lm loss: 2.541479E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.201 | TFLOPs: 20.22 | 31: iteration 4650/ 23189 | consumed samples: 1190400 | consumed tokens: 2437939200 | elapsed time per iteration (s): 0.85 | learning rate: 1.840E-04 | global batch size: 256 | lm loss: 2.500899E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 300.725 | TFLOPs: 18.19 | 31: iteration 4660/ 23189 | consumed samples: 1192960 | consumed tokens: 2443182080 | elapsed time per iteration (s): 0.76 | learning rate: 1.840E-04 | global batch size: 256 | lm loss: 2.498010E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.702 | TFLOPs: 20.37 | 31: iteration 4670/ 23189 | consumed samples: 1195520 | consumed tokens: 2448424960 | elapsed time per iteration (s): 0.76 | learning rate: 1.839E-04 | global batch size: 256 | lm loss: 2.482773E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.774 | TFLOPs: 20.37 | 31: iteration 4680/ 23189 | consumed samples: 1198080 | consumed tokens: 2453667840 | elapsed time per iteration (s): 0.73 | learning rate: 1.838E-04 | global batch size: 256 | lm loss: 2.500790E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.605 | TFLOPs: 21.15 | 31: iteration 4690/ 23189 | consumed samples: 1200640 | consumed tokens: 2458910720 | elapsed time per iteration (s): 0.77 | learning rate: 1.838E-04 | global batch size: 256 | lm loss: 2.523058E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.544 | TFLOPs: 20.24 | 31: iteration 4700/ 23189 | consumed samples: 1203200 | consumed tokens: 2464153600 | elapsed time per iteration (s): 0.78 | learning rate: 1.837E-04 | global batch size: 256 | lm loss: 2.506958E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.303 | TFLOPs: 19.98 | 31: iteration 4710/ 23189 | consumed samples: 1205760 | consumed tokens: 2469396480 | elapsed time per iteration (s): 0.71 | learning rate: 1.836E-04 | global batch size: 256 | lm loss: 2.484476E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.085 | TFLOPs: 21.72 | 31: iteration 4720/ 23189 | consumed samples: 1208320 | consumed tokens: 2474639360 | elapsed time per iteration (s): 0.75 | learning rate: 1.836E-04 | global batch size: 256 | lm loss: 2.504135E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.771 | TFLOPs: 20.62 | 31: iteration 4730/ 23189 | consumed samples: 1210880 | consumed tokens: 2479882240 | elapsed time per iteration (s): 0.74 | learning rate: 1.835E-04 | global batch size: 256 | lm loss: 2.477837E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.268 | TFLOPs: 20.95 | 31: iteration 4740/ 23189 | consumed samples: 1213440 | consumed tokens: 2485125120 | elapsed time per iteration (s): 0.81 | learning rate: 1.834E-04 | global batch size: 256 | lm loss: 2.500899E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.921 | TFLOPs: 19.23 | 31: iteration 4750/ 23189 | consumed samples: 1216000 | consumed tokens: 2490368000 | elapsed time per iteration (s): 0.82 | learning rate: 1.833E-04 | global batch size: 256 | lm loss: 2.495033E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.905 | TFLOPs: 18.87 | 31: iteration 4760/ 23189 | consumed samples: 1218560 | consumed tokens: 2495610880 | elapsed time per iteration (s): 0.77 | learning rate: 1.833E-04 | global batch size: 256 | lm loss: 2.500668E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.540 | TFLOPs: 20.18 | 31: iteration 4770/ 23189 | consumed samples: 1221120 | consumed tokens: 2500853760 | elapsed time per iteration (s): 0.78 | learning rate: 1.832E-04 | global batch size: 256 | lm loss: 2.528211E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.137 | TFLOPs: 19.91 | 31: iteration 4780/ 23189 | consumed samples: 1223680 | consumed tokens: 2506096640 | elapsed time per iteration (s): 0.82 | learning rate: 1.831E-04 | global batch size: 256 | lm loss: 2.484597E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.921 | TFLOPs: 18.93 | 31: iteration 4790/ 23189 | consumed samples: 1226240 | consumed tokens: 2511339520 | elapsed time per iteration (s): 0.78 | learning rate: 1.831E-04 | global batch size: 256 | lm loss: 2.506749E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.534 | TFLOPs: 19.94 | 31: iteration 4800/ 23189 | consumed samples: 1228800 | consumed tokens: 2516582400 | elapsed time per iteration (s): 0.78 | learning rate: 1.830E-04 | global batch size: 256 | lm loss: 2.522020E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.177 | TFLOPs: 19.79 | 31: iteration 4810/ 23189 | consumed samples: 1231360 | consumed tokens: 2521825280 | elapsed time per iteration (s): 0.79 | learning rate: 1.829E-04 | global batch size: 256 | lm loss: 2.506439E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.031 | TFLOPs: 19.72 | 31: iteration 4820/ 23189 | consumed samples: 1233920 | consumed tokens: 2527068160 | elapsed time per iteration (s): 0.79 | learning rate: 1.828E-04 | global batch size: 256 | lm loss: 2.491457E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.728 | TFLOPs: 19.65 | 31: iteration 4830/ 23189 | consumed samples: 1236480 | consumed tokens: 2532311040 | elapsed time per iteration (s): 0.79 | learning rate: 1.828E-04 | global batch size: 256 | lm loss: 2.479838E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.830 | TFLOPs: 19.65 | 31: iteration 4840/ 23189 | consumed samples: 1239040 | consumed tokens: 2537553920 | elapsed time per iteration (s): 0.78 | learning rate: 1.827E-04 | global batch size: 256 | lm loss: 2.456206E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.162 | TFLOPs: 19.73 | 31: iteration 4850/ 23189 | consumed samples: 1241600 | consumed tokens: 2542796800 | elapsed time per iteration (s): 0.89 | learning rate: 1.826E-04 | global batch size: 256 | lm loss: 2.491241E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 286.369 | TFLOPs: 17.32 | 31: iteration 4860/ 23189 | consumed samples: 1244160 | consumed tokens: 2548039680 | elapsed time per iteration (s): 0.87 | learning rate: 1.825E-04 | global batch size: 256 | lm loss: 2.522361E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 294.608 | TFLOPs: 17.82 | 31: iteration 4870/ 23189 | consumed samples: 1246720 | consumed tokens: 2553282560 | elapsed time per iteration (s): 0.71 | learning rate: 1.825E-04 | global batch size: 256 | lm loss: 2.482377E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.778 | TFLOPs: 21.71 | 31: iteration 4880/ 23189 | consumed samples: 1249280 | consumed tokens: 2558525440 | elapsed time per iteration (s): 0.73 | learning rate: 1.824E-04 | global batch size: 256 | lm loss: 2.533937E+00 | grad norm: 0.899 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.735 | TFLOPs: 21.28 | 31: iteration 4890/ 23189 | consumed samples: 1251840 | consumed tokens: 2563768320 | elapsed time per iteration (s): 0.74 | learning rate: 1.823E-04 | global batch size: 256 | lm loss: 3.851566E+00 | grad norm: 7.675 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.932 | TFLOPs: 20.81 | 31: iteration 4900/ 23189 | consumed samples: 1254400 | consumed tokens: 2569011200 | elapsed time per iteration (s): 0.86 | learning rate: 1.823E-04 | global batch size: 256 | lm loss: 3.459684E+00 | grad norm: 4.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 298.853 | TFLOPs: 18.08 | 31: iteration 4910/ 23189 | consumed samples: 1256960 | consumed tokens: 2574254080 | elapsed time per iteration (s): 0.83 | learning rate: 1.822E-04 | global batch size: 256 | lm loss: 2.900704E+00 | grad norm: 2.556 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.405 | TFLOPs: 18.60 | 31: iteration 4920/ 23189 | consumed samples: 1259520 | consumed tokens: 2579496960 | elapsed time per iteration (s): 0.80 | learning rate: 1.821E-04 | global batch size: 256 | lm loss: 2.832806E+00 | grad norm: 1.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.244 | TFLOPs: 19.31 | 31: iteration 4930/ 23189 | consumed samples: 1262080 | consumed tokens: 2584739840 | elapsed time per iteration (s): 0.78 | learning rate: 1.820E-04 | global batch size: 256 | lm loss: 2.678445E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.754 | TFLOPs: 19.83 | 31: iteration 4940/ 23189 | consumed samples: 1264640 | consumed tokens: 2589982720 | elapsed time per iteration (s): 0.93 | learning rate: 1.820E-04 | global batch size: 256 | lm loss: 2.602105E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.999 | TFLOPs: 16.70 | 31: iteration 4950/ 23189 | consumed samples: 1267200 | consumed tokens: 2595225600 | elapsed time per iteration (s): 0.85 | learning rate: 1.819E-04 | global batch size: 256 | lm loss: 2.588418E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 301.998 | TFLOPs: 18.27 | 31: iteration 4960/ 23189 | consumed samples: 1269760 | consumed tokens: 2600468480 | elapsed time per iteration (s): 0.77 | learning rate: 1.818E-04 | global batch size: 256 | lm loss: 2.541080E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.790 | TFLOPs: 20.07 | 31: iteration 4970/ 23189 | consumed samples: 1272320 | consumed tokens: 2605711360 | elapsed time per iteration (s): 0.80 | learning rate: 1.817E-04 | global batch size: 256 | lm loss: 2.524701E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.548 | TFLOPs: 19.27 | 31: iteration 4980/ 23189 | consumed samples: 1274880 | consumed tokens: 2610954240 | elapsed time per iteration (s): 0.79 | learning rate: 1.817E-04 | global batch size: 256 | lm loss: 2.532679E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.321 | TFLOPs: 19.50 | 31: iteration 4990/ 23189 | consumed samples: 1277440 | consumed tokens: 2616197120 | elapsed time per iteration (s): 0.76 | learning rate: 1.816E-04 | global batch size: 256 | lm loss: 2.505163E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.159 | TFLOPs: 20.28 | 31: iteration 5000/ 23189 | consumed samples: 1280000 | consumed tokens: 2621440000 | elapsed time per iteration (s): 0.77 | learning rate: 1.815E-04 | global batch size: 256 | lm loss: 2.496214E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.685 | TFLOPs: 20.19 | 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 5000 | lm loss value: 2.528409E+00 | lm loss PPL: 1.253355E+01 | 31: ------------------------------------------------------------------------------------------ 31: iteration 5010/ 23189 | consumed samples: 1282560 | consumed tokens: 2626682880 | elapsed time per iteration (s): 0.80 | learning rate: 1.814E-04 | global batch size: 256 | lm loss: 2.503466E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.576 | TFLOPs: 19.45 | 31: iteration 5020/ 23189 | consumed samples: 1285120 | consumed tokens: 2631925760 | elapsed time per iteration (s): 0.77 | learning rate: 1.814E-04 | global batch size: 256 | lm loss: 2.482590E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.620 | TFLOPs: 20.12 | 31: iteration 5030/ 23189 | consumed samples: 1287680 | consumed tokens: 2637168640 | elapsed time per iteration (s): 0.74 | learning rate: 1.813E-04 | global batch size: 256 | lm loss: 2.494308E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.617 | TFLOPs: 20.91 | 31: iteration 5040/ 23189 | consumed samples: 1290240 | consumed tokens: 2642411520 | elapsed time per iteration (s): 0.75 | learning rate: 1.812E-04 | global batch size: 256 | lm loss: 2.473763E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.418 | TFLOPs: 20.78 | 31: iteration 5050/ 23189 | consumed samples: 1292800 | consumed tokens: 2647654400 | elapsed time per iteration (s): 0.76 | learning rate: 1.811E-04 | global batch size: 256 | lm loss: 2.467570E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.623 | TFLOPs: 20.36 | 31: iteration 5060/ 23189 | consumed samples: 1295360 | consumed tokens: 2652897280 | elapsed time per iteration (s): 0.76 | learning rate: 1.811E-04 | global batch size: 256 | lm loss: 2.471621E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.933 | TFLOPs: 20.26 | 31: iteration 5070/ 23189 | consumed samples: 1297920 | consumed tokens: 2658140160 | elapsed time per iteration (s): 0.78 | learning rate: 1.810E-04 | global batch size: 256 | lm loss: 2.489901E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.966 | TFLOPs: 19.84 | 31: iteration 5080/ 23189 | consumed samples: 1300480 | consumed tokens: 2663383040 | elapsed time per iteration (s): 0.80 | learning rate: 1.809E-04 | global batch size: 256 | lm loss: 2.511873E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.595 | TFLOPs: 19.46 | 31: iteration 5090/ 23189 | consumed samples: 1303040 | consumed tokens: 2668625920 | elapsed time per iteration (s): 0.80 | learning rate: 1.808E-04 | global batch size: 256 | lm loss: 2.490246E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.275 | TFLOPs: 19.25 | 31: iteration 5100/ 23189 | consumed samples: 1305600 | consumed tokens: 2673868800 | elapsed time per iteration (s): 0.74 | learning rate: 1.808E-04 | global batch size: 256 | lm loss: 2.518064E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.083 | TFLOPs: 21.00 | 31: iteration 5110/ 23189 | consumed samples: 1308160 | consumed tokens: 2679111680 | elapsed time per iteration (s): 0.74 | learning rate: 1.807E-04 | global batch size: 256 | lm loss: 2.494214E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.950 | TFLOPs: 20.87 | 31: iteration 5120/ 23189 | consumed samples: 1310720 | consumed tokens: 2684354560 | elapsed time per iteration (s): 0.74 | learning rate: 1.806E-04 | global batch size: 256 | lm loss: 2.503221E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.957 | TFLOPs: 20.99 | 31: iteration 5130/ 23189 | consumed samples: 1313280 | consumed tokens: 2689597440 | elapsed time per iteration (s): 0.82 | learning rate: 1.805E-04 | global batch size: 256 | lm loss: 2.498469E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.020 | TFLOPs: 19.00 | 31: iteration 5140/ 23189 | consumed samples: 1315840 | consumed tokens: 2694840320 | elapsed time per iteration (s): 0.80 | learning rate: 1.805E-04 | global batch size: 256 | lm loss: 2.484483E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.234 | TFLOPs: 19.31 | 31: iteration 5150/ 23189 | consumed samples: 1318400 | consumed tokens: 2700083200 | elapsed time per iteration (s): 0.76 | learning rate: 1.804E-04 | global batch size: 256 | lm loss: 2.497408E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.316 | TFLOPs: 20.35 | 31: iteration 5160/ 23189 | consumed samples: 1320960 | consumed tokens: 2705326080 | elapsed time per iteration (s): 0.75 | learning rate: 1.803E-04 | global batch size: 256 | lm loss: 2.497672E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.822 | TFLOPs: 20.62 | 31: iteration 5170/ 23189 | consumed samples: 1323520 | consumed tokens: 2710568960 | elapsed time per iteration (s): 0.78 | learning rate: 1.802E-04 | global batch size: 256 | lm loss: 2.480245E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.880 | TFLOPs: 19.84 | 31: iteration 5180/ 23189 | consumed samples: 1326080 | consumed tokens: 2715811840 | elapsed time per iteration (s): 0.74 | learning rate: 1.801E-04 | global batch size: 256 | lm loss: 2.486925E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.686 | TFLOPs: 20.85 | 31: iteration 5190/ 23189 | consumed samples: 1328640 | consumed tokens: 2721054720 | elapsed time per iteration (s): 0.76 | learning rate: 1.801E-04 | global batch size: 256 | lm loss: 2.466085E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.762 | TFLOPs: 20.43 | 31: iteration 5200/ 23189 | consumed samples: 1331200 | consumed tokens: 2726297600 | elapsed time per iteration (s): 0.81 | learning rate: 1.800E-04 | global batch size: 256 | lm loss: 2.476073E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.977 | TFLOPs: 19.18 | 31: iteration 5210/ 23189 | consumed samples: 1333760 | consumed tokens: 2731540480 | elapsed time per iteration (s): 0.72 | learning rate: 1.799E-04 | global batch size: 256 | lm loss: 2.456585E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.668 | TFLOPs: 21.64 | 31: iteration 5220/ 23189 | consumed samples: 1336320 | consumed tokens: 2736783360 | elapsed time per iteration (s): 0.72 | learning rate: 1.798E-04 | global batch size: 256 | lm loss: 2.466482E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.282 | TFLOPs: 21.55 | 31: iteration 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328.984 | TFLOPs: 19.90 | 31: iteration 5260/ 23189 | consumed samples: 1346560 | consumed tokens: 2757754880 | elapsed time per iteration (s): 0.81 | learning rate: 1.795E-04 | global batch size: 256 | lm loss: 2.499187E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.686 | TFLOPs: 19.10 | 31: iteration 5270/ 23189 | consumed samples: 1349120 | consumed tokens: 2762997760 | elapsed time per iteration (s): 0.77 | learning rate: 1.794E-04 | global batch size: 256 | lm loss: 2.440146E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.446 | TFLOPs: 20.11 | 31: iteration 5280/ 23189 | consumed samples: 1351680 | consumed tokens: 2768240640 | elapsed time per iteration (s): 0.83 | learning rate: 1.794E-04 | global batch size: 256 | lm loss: 2.516912E+00 | grad norm: 0.903 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.187 | TFLOPs: 18.71 | 31: iteration 5290/ 23189 | consumed samples: 1354240 | consumed tokens: 2773483520 | elapsed time per iteration (s): 0.79 | learning rate: 1.793E-04 | global batch size: 256 | lm loss: 2.487207E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.888 | TFLOPs: 19.65 | 31: iteration 5300/ 23189 | consumed samples: 1356800 | consumed tokens: 2778726400 | elapsed time per iteration (s): 0.78 | learning rate: 1.792E-04 | global batch size: 256 | lm loss: 2.479827E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.439 | TFLOPs: 19.93 | 31: iteration 5310/ 23189 | consumed samples: 1359360 | consumed tokens: 2783969280 | elapsed time per iteration (s): 0.79 | learning rate: 1.791E-04 | global batch size: 256 | lm loss: 2.509437E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.532 | TFLOPs: 19.69 | 31: iteration 5320/ 23189 | consumed samples: 1361920 | consumed tokens: 2789212160 | elapsed time per iteration (s): 0.79 | learning rate: 1.791E-04 | global batch size: 256 | lm loss: 2.476438E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.346 | TFLOPs: 19.68 | 31: iteration 5330/ 23189 | consumed samples: 1364480 | consumed tokens: 2794455040 | elapsed time per iteration (s): 0.78 | learning rate: 1.790E-04 | global batch size: 256 | lm loss: 2.481567E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.509 | TFLOPs: 19.81 | 31: iteration 5340/ 23189 | consumed samples: 1367040 | consumed tokens: 2799697920 | elapsed time per iteration (s): 0.78 | learning rate: 1.789E-04 | global batch size: 256 | lm loss: 2.500090E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.914 | TFLOPs: 19.78 | 31: iteration 5350/ 23189 | consumed samples: 1369600 | consumed tokens: 2804940800 | elapsed time per iteration (s): 0.80 | learning rate: 1.788E-04 | global batch size: 256 | lm loss: 2.451334E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.642 | TFLOPs: 19.46 | 31: iteration 5360/ 23189 | consumed samples: 1372160 | consumed tokens: 2810183680 | elapsed time per iteration (s): 0.80 | learning rate: 1.787E-04 | global batch size: 256 | lm loss: 2.501174E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.175 | TFLOPs: 19.37 | 31: iteration 5370/ 23189 | consumed samples: 1374720 | consumed tokens: 2815426560 | elapsed time per iteration (s): 0.79 | learning rate: 1.787E-04 | global batch size: 256 | lm loss: 2.485228E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.526 | TFLOPs: 19.51 | 31: iteration 5380/ 23189 | consumed samples: 1377280 | consumed tokens: 2820669440 | elapsed time per iteration (s): 0.77 | learning rate: 1.786E-04 | global batch size: 256 | lm loss: 2.444956E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.962 | TFLOPs: 20.02 | 31: iteration 5390/ 23189 | consumed samples: 1379840 | consumed tokens: 2825912320 | elapsed time per iteration (s): 0.79 | learning rate: 1.785E-04 | global batch size: 256 | lm loss: 2.479270E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.609 | TFLOPs: 19.58 | 31: iteration 5400/ 23189 | consumed samples: 1382400 | consumed tokens: 2831155200 | elapsed time per iteration (s): 0.79 | learning rate: 1.784E-04 | global batch size: 256 | lm loss: 2.442561E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.373 | TFLOPs: 19.50 | 31: iteration 5410/ 23189 | consumed samples: 1384960 | consumed tokens: 2836398080 | elapsed time per iteration (s): 0.82 | learning rate: 1.783E-04 | global batch size: 256 | lm loss: 2.475616E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.271 | TFLOPs: 18.83 | 31: iteration 5420/ 23189 | consumed samples: 1387520 | consumed tokens: 2841640960 | elapsed time per iteration (s): 0.78 | learning rate: 1.783E-04 | global batch size: 256 | lm loss: 2.462191E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.893 | TFLOPs: 19.84 | 31: iteration 5430/ 23189 | consumed samples: 1390080 | consumed tokens: 2846883840 | elapsed time per iteration (s): 0.79 | learning rate: 1.782E-04 | global batch size: 256 | lm loss: 2.485538E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.007 | TFLOPs: 19.54 | 31: iteration 5440/ 23189 | consumed samples: 1392640 | consumed tokens: 2852126720 | elapsed time per iteration (s): 0.83 | learning rate: 1.781E-04 | global batch size: 256 | lm loss: 2.468772E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.694 | TFLOPs: 18.61 | 31: iteration 5450/ 23189 | consumed samples: 1395200 | consumed tokens: 2857369600 | elapsed time per iteration (s): 0.73 | learning rate: 1.780E-04 | global batch size: 256 | lm loss: 2.471948E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.977 | TFLOPs: 21.29 | 31: iteration 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342.432 | TFLOPs: 20.72 | 31: iteration 5490/ 23189 | consumed samples: 1405440 | consumed tokens: 2878341120 | elapsed time per iteration (s): 0.78 | learning rate: 1.777E-04 | global batch size: 256 | lm loss: 2.437999E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.036 | TFLOPs: 19.85 | 31: iteration 5500/ 23189 | consumed samples: 1408000 | consumed tokens: 2883584000 | elapsed time per iteration (s): 0.78 | learning rate: 1.776E-04 | global batch size: 256 | lm loss: 2.494857E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.880 | TFLOPs: 19.96 | 31: iteration 5510/ 23189 | consumed samples: 1410560 | consumed tokens: 2888826880 | elapsed time per iteration (s): 0.86 | learning rate: 1.775E-04 | global batch size: 256 | lm loss: 2.462558E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 298.022 | TFLOPs: 18.03 | 31: iteration 5520/ 23189 | consumed samples: 1413120 | consumed tokens: 2894069760 | elapsed time per iteration (s): 0.78 | learning rate: 1.774E-04 | global batch size: 256 | lm loss: 2.492894E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.643 | TFLOPs: 19.76 | 31: iteration 5530/ 23189 | consumed samples: 1415680 | consumed tokens: 2899312640 | elapsed time per iteration (s): 0.73 | learning rate: 1.774E-04 | global batch size: 256 | lm loss: 2.462144E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.115 | TFLOPs: 21.24 | 31: iteration 5540/ 23189 | consumed samples: 1418240 | consumed tokens: 2904555520 | elapsed time per iteration (s): 0.76 | learning rate: 1.773E-04 | global batch size: 256 | lm loss: 2.500826E+00 | grad norm: 0.176 | num zeros: 0.0 | 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2.485462E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.401 | TFLOPs: 20.29 | 31: iteration 5580/ 23189 | consumed samples: 1428480 | consumed tokens: 2925527040 | elapsed time per iteration (s): 0.78 | learning rate: 1.770E-04 | global batch size: 256 | lm loss: 2.449291E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.499 | TFLOPs: 19.87 | 31: iteration 5590/ 23189 | consumed samples: 1431040 | consumed tokens: 2930769920 | elapsed time per iteration (s): 0.75 | learning rate: 1.769E-04 | global batch size: 256 | lm loss: 2.457646E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.754 | TFLOPs: 20.68 | 31: iteration 5600/ 23189 | consumed samples: 1433600 | consumed tokens: 2936012800 | elapsed time per iteration (s): 0.73 | learning rate: 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consumed tokens: 2967470080 | elapsed time per iteration (s): 0.74 | learning rate: 1.763E-04 | global batch size: 256 | lm loss: 2.450426E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.237 | TFLOPs: 20.89 | 31: iteration 5670/ 23189 | consumed samples: 1451520 | consumed tokens: 2972712960 | elapsed time per iteration (s): 0.80 | learning rate: 1.762E-04 | global batch size: 256 | lm loss: 2.481678E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.351 | TFLOPs: 19.32 | 31: iteration 5680/ 23189 | consumed samples: 1454080 | consumed tokens: 2977955840 | elapsed time per iteration (s): 0.84 | learning rate: 1.761E-04 | global batch size: 256 | lm loss: 2.464768E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 304.592 | TFLOPs: 18.43 | 31: iteration 5690/ 23189 | consumed samples: 1456640 | consumed tokens: 2983198720 | elapsed time per iteration (s): 0.82 | learning rate: 1.760E-04 | global batch size: 256 | lm loss: 2.505270E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.775 | TFLOPs: 18.86 | 31: iteration 5700/ 23189 | consumed samples: 1459200 | consumed tokens: 2988441600 | elapsed time per iteration (s): 0.82 | learning rate: 1.760E-04 | global batch size: 256 | lm loss: 2.480574E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.640 | TFLOPs: 18.97 | 31: iteration 5710/ 23189 | consumed samples: 1461760 | consumed tokens: 2993684480 | elapsed time per iteration (s): 0.89 | learning rate: 1.759E-04 | global batch size: 256 | lm loss: 2.451881E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.234 | TFLOPs: 17.38 | 31: iteration 5720/ 23189 | consumed samples: 1464320 | consumed tokens: 2998927360 | elapsed time per iteration (s): 0.79 | learning rate: 1.758E-04 | global batch size: 256 | lm loss: 2.434651E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.264 | TFLOPs: 19.56 | 31: iteration 5730/ 23189 | consumed samples: 1466880 | consumed tokens: 3004170240 | elapsed time per iteration (s): 0.79 | learning rate: 1.757E-04 | global batch size: 256 | lm loss: 2.479440E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.361 | TFLOPs: 19.62 | 31: iteration 5740/ 23189 | consumed samples: 1469440 | consumed tokens: 3009413120 | elapsed time per iteration (s): 0.83 | learning rate: 1.756E-04 | global batch size: 256 | lm loss: 2.451160E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.915 | TFLOPs: 18.69 | 31: iteration 5750/ 23189 | consumed samples: 1472000 | consumed tokens: 3014656000 | elapsed time per iteration (s): 0.80 | learning rate: 1.755E-04 | global batch size: 256 | lm loss: 2.411287E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.183 | TFLOPs: 19.43 | 31: iteration 5760/ 23189 | consumed samples: 1474560 | consumed tokens: 3019898880 | elapsed time per iteration (s): 0.92 | learning rate: 1.755E-04 | global batch size: 256 | lm loss: 2.450910E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 279.329 | TFLOPs: 16.90 | 31: iteration 5770/ 23189 | consumed samples: 1477120 | consumed tokens: 3025141760 | elapsed time per iteration (s): 0.81 | learning rate: 1.754E-04 | global batch size: 256 | lm loss: 2.441510E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.793 | TFLOPs: 19.10 | 31: iteration 5780/ 23189 | consumed samples: 1479680 | consumed tokens: 3030384640 | elapsed time per iteration (s): 0.84 | learning rate: 1.753E-04 | global batch size: 256 | lm loss: 2.443687E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.845 | TFLOPs: 18.50 | 31: iteration 5790/ 23189 | consumed samples: 1482240 | consumed tokens: 3035627520 | elapsed time per iteration (s): 0.88 | learning rate: 1.752E-04 | global batch size: 256 | lm loss: 2.454347E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 291.838 | TFLOPs: 17.66 | 31: iteration 5800/ 23189 | consumed samples: 1484800 | consumed tokens: 3040870400 | elapsed time per iteration (s): 0.82 | learning rate: 1.751E-04 | global batch size: 256 | lm loss: 2.473302E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.842 | TFLOPs: 18.93 | 31: iteration 5810/ 23189 | consumed samples: 1487360 | consumed tokens: 3046113280 | elapsed time per iteration (s): 0.80 | learning rate: 1.750E-04 | global batch size: 256 | lm loss: 2.439591E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.401 | TFLOPs: 19.44 | 31: iteration 5820/ 23189 | consumed samples: 1489920 | consumed tokens: 3051356160 | elapsed time per iteration (s): 0.82 | learning rate: 1.749E-04 | global batch size: 256 | lm loss: 2.471646E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.862 | TFLOPs: 18.87 | 31: iteration 5830/ 23189 | consumed samples: 1492480 | consumed tokens: 3056599040 | elapsed time per iteration (s): 0.79 | learning rate: 1.749E-04 | global batch size: 256 | lm loss: 2.439123E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.942 | TFLOPs: 19.66 | 31: iteration 5840/ 23189 | consumed samples: 1495040 | consumed tokens: 3061841920 | elapsed time per iteration (s): 0.75 | learning rate: 1.748E-04 | global batch size: 256 | lm loss: 2.455340E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.263 | TFLOPs: 20.71 | 31: iteration 5850/ 23189 | consumed samples: 1497600 | consumed tokens: 3067084800 | elapsed time per iteration (s): 0.77 | learning rate: 1.747E-04 | global batch size: 256 | lm loss: 2.462302E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.077 | TFLOPs: 20.15 | 31: iteration 5860/ 23189 | consumed samples: 1500160 | consumed tokens: 3072327680 | elapsed time per iteration (s): 0.80 | learning rate: 1.746E-04 | global batch size: 256 | lm loss: 2.453452E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.981 | TFLOPs: 19.30 | 31: iteration 5870/ 23189 | consumed samples: 1502720 | consumed tokens: 3077570560 | elapsed time per iteration (s): 0.76 | learning rate: 1.745E-04 | global batch size: 256 | lm loss: 2.455070E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.950 | TFLOPs: 20.51 | 31: iteration 5880/ 23189 | consumed samples: 1505280 | consumed tokens: 3082813440 | elapsed time per iteration (s): 0.73 | learning rate: 1.744E-04 | global batch size: 256 | lm loss: 2.450911E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.334 | TFLOPs: 21.13 | 31: iteration 5890/ 23189 | consumed samples: 1507840 | consumed tokens: 3088056320 | elapsed time per iteration (s): 0.86 | learning rate: 1.743E-04 | global batch size: 256 | lm loss: 2.413405E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 296.490 | TFLOPs: 17.94 | 31: iteration 5900/ 23189 | consumed samples: 1510400 | consumed tokens: 3093299200 | elapsed time per iteration (s): 0.83 | learning rate: 1.743E-04 | global batch size: 256 | lm loss: 2.426267E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.940 | TFLOPs: 18.63 | 31: iteration 5910/ 23189 | consumed samples: 1512960 | consumed tokens: 3098542080 | elapsed time per iteration (s): 0.81 | learning rate: 1.742E-04 | global batch size: 256 | lm loss: 2.443402E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.545 | TFLOPs: 19.21 | 31: iteration 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303.527 | TFLOPs: 18.36 | 31: iteration 5950/ 23189 | consumed samples: 1523200 | consumed tokens: 3119513600 | elapsed time per iteration (s): 0.75 | learning rate: 1.738E-04 | global batch size: 256 | lm loss: 2.454334E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.470 | TFLOPs: 20.66 | 31: iteration 5960/ 23189 | consumed samples: 1525760 | consumed tokens: 3124756480 | elapsed time per iteration (s): 0.82 | learning rate: 1.737E-04 | global batch size: 256 | lm loss: 2.450555E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.495 | TFLOPs: 18.97 | 31: iteration 5970/ 23189 | consumed samples: 1528320 | consumed tokens: 3129999360 | elapsed time per iteration (s): 1.06 | learning rate: 1.737E-04 | global batch size: 256 | lm loss: 2.488562E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 241.975 | TFLOPs: 14.64 | 31: iteration 5980/ 23189 | consumed samples: 1530880 | consumed tokens: 3135242240 | elapsed time per iteration (s): 0.83 | learning rate: 1.736E-04 | global batch size: 256 | lm loss: 2.449474E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.720 | TFLOPs: 18.62 | 31: iteration 5990/ 23189 | consumed samples: 1533440 | consumed tokens: 3140485120 | elapsed time per iteration (s): 0.76 | learning rate: 1.735E-04 | global batch size: 256 | lm loss: 2.455986E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.224 | TFLOPs: 20.46 | 0: [2022-11-28 19:10:12,903] [INFO] [logging.py:68:log_dist] [Rank 0] step=6000, skipped=0, lr=[0.00017338829672946792, 0.00017338829672946792, 0.00017338829672946792], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 6000/ 23189 | consumed samples: 1536000 | consumed tokens: 3145728000 | elapsed time per iteration (s): 0.76 | learning rate: 1.734E-04 | global batch size: 256 | lm loss: 2.445230E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.651 | TFLOPs: 20.25 | 0: steps: 6000 loss: 2.4520 iter time (s): 0.788 samples/sec: 324.812 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 6000 | lm loss value: 2.476238E+00 | lm loss PPL: 1.189643E+01 | 31: ------------------------------------------------------------------------------------------ 31: iteration 6010/ 23189 | consumed samples: 1538560 | consumed tokens: 3150970880 | elapsed time per iteration (s): 0.80 | learning rate: 1.733E-04 | global batch size: 256 | lm loss: 2.467140E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.983 | TFLOPs: 19.36 | 31: iteration 6020/ 23189 | consumed samples: 1541120 | consumed tokens: 3156213760 | elapsed time per iteration (s): 0.78 | learning rate: 1.732E-04 | global batch size: 256 | lm loss: 2.436990E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.229 | TFLOPs: 19.80 | 31: iteration 6030/ 23189 | consumed samples: 1543680 | consumed tokens: 3161456640 | elapsed time per iteration (s): 0.80 | learning rate: 1.731E-04 | global batch size: 256 | lm loss: 2.429045E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.092 | TFLOPs: 19.30 | 31: iteration 6040/ 23189 | consumed samples: 1546240 | consumed tokens: 3166699520 | elapsed time per iteration (s): 0.74 | learning rate: 1.730E-04 | global batch size: 256 | lm loss: 2.471428E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.662 | TFLOPs: 20.79 | 31: iteration 6050/ 23189 | consumed samples: 1548800 | consumed tokens: 3171942400 | elapsed time per iteration (s): 0.81 | learning rate: 1.729E-04 | global batch size: 256 | lm loss: 2.419421E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.869 | TFLOPs: 19.05 | 31: iteration 6060/ 23189 | consumed samples: 1551360 | consumed tokens: 3177185280 | elapsed time per iteration (s): 0.75 | learning rate: 1.729E-04 | global batch size: 256 | lm loss: 2.429416E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.798 | TFLOPs: 20.74 | 31: iteration 6070/ 23189 | consumed samples: 1553920 | consumed tokens: 3182428160 | elapsed time per iteration (s): 0.75 | learning rate: 1.728E-04 | global batch size: 256 | lm loss: 2.464705E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.424 | TFLOPs: 20.66 | 31: iteration 6080/ 23189 | consumed samples: 1556480 | consumed tokens: 3187671040 | elapsed time per iteration (s): 0.78 | learning rate: 1.727E-04 | global batch size: 256 | lm loss: 2.457131E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.928 | TFLOPs: 19.96 | 31: iteration 6090/ 23189 | consumed samples: 1559040 | consumed tokens: 3192913920 | elapsed time per iteration (s): 0.75 | learning rate: 1.726E-04 | global batch size: 256 | lm loss: 2.433483E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.437 | TFLOPs: 20.66 | 31: iteration 6100/ 23189 | consumed samples: 1561600 | consumed tokens: 3198156800 | elapsed time per iteration (s): 0.77 | learning rate: 1.725E-04 | global batch size: 256 | lm loss: 2.455413E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.256 | TFLOPs: 20.04 | 31: iteration 6110/ 23189 | consumed samples: 1564160 | consumed tokens: 3203399680 | elapsed time per iteration (s): 0.75 | learning rate: 1.724E-04 | global batch size: 256 | lm loss: 2.424953E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.765 | TFLOPs: 20.68 | 31: iteration 6120/ 23189 | consumed samples: 1566720 | consumed tokens: 3208642560 | elapsed time per iteration (s): 0.73 | learning rate: 1.723E-04 | global batch size: 256 | lm loss: 2.407143E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.150 | TFLOPs: 21.12 | 31: iteration 6130/ 23189 | consumed samples: 1569280 | consumed tokens: 3213885440 | elapsed time per iteration (s): 0.83 | learning rate: 1.722E-04 | global batch size: 256 | lm loss: 2.441435E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.607 | TFLOPs: 18.73 | 31: iteration 6140/ 23189 | consumed samples: 1571840 | consumed tokens: 3219128320 | elapsed time per iteration (s): 0.87 | learning rate: 1.722E-04 | global batch size: 256 | lm loss: 2.426183E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 294.498 | TFLOPs: 17.82 | 31: iteration 6150/ 23189 | consumed samples: 1574400 | consumed tokens: 3224371200 | elapsed time per iteration (s): 0.77 | learning rate: 1.721E-04 | global batch size: 256 | lm loss: 2.428575E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.565 | TFLOPs: 20.24 | 31: iteration 6160/ 23189 | consumed samples: 1576960 | consumed tokens: 3229614080 | elapsed time 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consumed tokens: 3245342720 | elapsed time per iteration (s): 0.73 | learning rate: 1.717E-04 | global batch size: 256 | lm loss: 2.449624E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.789 | TFLOPs: 21.34 | 31: iteration 6200/ 23189 | consumed samples: 1587200 | consumed tokens: 3250585600 | elapsed time per iteration (s): 0.80 | learning rate: 1.716E-04 | global batch size: 256 | lm loss: 2.437109E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.383 | TFLOPs: 19.38 | 31: iteration 6210/ 23189 | consumed samples: 1589760 | consumed tokens: 3255828480 | elapsed time per iteration (s): 0.83 | learning rate: 1.715E-04 | global batch size: 256 | lm loss: 2.469747E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.627 | TFLOPs: 18.61 | 31: iteration 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317.544 | TFLOPs: 19.21 | 31: iteration 6250/ 23189 | consumed samples: 1600000 | consumed tokens: 3276800000 | elapsed time per iteration (s): 0.78 | learning rate: 1.712E-04 | global batch size: 256 | lm loss: 2.418893E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.080 | TFLOPs: 19.91 | 31: iteration 6260/ 23189 | consumed samples: 1602560 | consumed tokens: 3282042880 | elapsed time per iteration (s): 0.81 | learning rate: 1.711E-04 | global batch size: 256 | lm loss: 2.454847E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.723 | TFLOPs: 19.10 | 31: iteration 6270/ 23189 | consumed samples: 1605120 | consumed tokens: 3287285760 | elapsed time per iteration (s): 0.79 | learning rate: 1.710E-04 | global batch size: 256 | lm loss: 2.425051E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.193 | TFLOPs: 19.49 | 31: iteration 6280/ 23189 | consumed samples: 1607680 | consumed tokens: 3292528640 | elapsed time per iteration (s): 0.81 | learning rate: 1.709E-04 | global batch size: 256 | lm loss: 2.421158E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.100 | TFLOPs: 19.18 | 31: iteration 6290/ 23189 | consumed samples: 1610240 | consumed tokens: 3297771520 | elapsed time per iteration (s): 0.82 | learning rate: 1.708E-04 | global batch size: 256 | lm loss: 2.415492E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.692 | TFLOPs: 18.98 | 31: iteration 6300/ 23189 | consumed samples: 1612800 | consumed tokens: 3303014400 | elapsed time per iteration (s): 0.82 | learning rate: 1.707E-04 | global batch size: 256 | lm loss: 2.425264E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.718 | TFLOPs: 18.86 | 31: iteration 6310/ 23189 | consumed samples: 1615360 | consumed tokens: 3308257280 | elapsed time per iteration (s): 0.78 | learning rate: 1.706E-04 | global batch size: 256 | lm loss: 2.410829E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.519 | TFLOPs: 19.75 | 31: iteration 6320/ 23189 | consumed samples: 1617920 | consumed tokens: 3313500160 | elapsed time per iteration (s): 0.78 | learning rate: 1.705E-04 | global batch size: 256 | lm loss: 2.433854E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.827 | TFLOPs: 19.77 | 31: iteration 6330/ 23189 | consumed samples: 1620480 | consumed tokens: 3318743040 | elapsed time per iteration (s): 0.84 | learning rate: 1.704E-04 | global batch size: 256 | lm loss: 2.460790E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.319 | TFLOPs: 18.47 | 31: iteration 6340/ 23189 | consumed samples: 1623040 | consumed tokens: 3323985920 | elapsed time per iteration (s): 0.79 | learning rate: 1.703E-04 | global batch size: 256 | lm loss: 2.391771E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.745 | TFLOPs: 19.59 | 31: iteration 6350/ 23189 | consumed samples: 1625600 | consumed tokens: 3329228800 | elapsed time per iteration (s): 0.77 | learning rate: 1.703E-04 | global batch size: 256 | lm loss: 2.429187E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.853 | TFLOPs: 20.02 | 31: iteration 6360/ 23189 | consumed samples: 1628160 | consumed tokens: 3334471680 | elapsed time per iteration (s): 0.81 | learning rate: 1.702E-04 | global batch size: 256 | lm loss: 2.430891E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.614 | TFLOPs: 19.21 | 31: iteration 6370/ 23189 | consumed samples: 1630720 | consumed tokens: 3339714560 | elapsed time per iteration (s): 0.79 | learning rate: 1.701E-04 | global batch size: 256 | lm loss: 2.453205E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.211 | TFLOPs: 19.67 | 31: iteration 6380/ 23189 | consumed samples: 1633280 | consumed tokens: 3344957440 | elapsed time per iteration (s): 0.81 | learning rate: 1.700E-04 | global batch size: 256 | lm loss: 2.417387E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.331 | TFLOPs: 19.14 | 31: iteration 6390/ 23189 | consumed samples: 1635840 | consumed tokens: 3350200320 | elapsed time per iteration (s): 0.81 | learning rate: 1.699E-04 | global batch size: 256 | lm loss: 2.426414E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.837 | TFLOPs: 19.17 | 31: iteration 6400/ 23189 | consumed samples: 1638400 | consumed tokens: 3355443200 | elapsed time per iteration (s): 0.79 | learning rate: 1.698E-04 | global batch size: 256 | lm loss: 2.425156E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.228 | TFLOPs: 19.49 | 31: iteration 6410/ 23189 | consumed samples: 1640960 | consumed tokens: 3360686080 | elapsed time per iteration (s): 0.81 | learning rate: 1.697E-04 | global batch size: 256 | lm loss: 2.445584E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.814 | TFLOPs: 19.17 | 31: iteration 6420/ 23189 | consumed samples: 1643520 | consumed tokens: 3365928960 | elapsed time per iteration (s): 0.78 | learning rate: 1.696E-04 | global batch size: 256 | lm loss: 2.404647E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.263 | TFLOPs: 19.98 | 31: iteration 6430/ 23189 | consumed samples: 1646080 | consumed tokens: 3371171840 | elapsed time per iteration (s): 0.79 | learning rate: 1.695E-04 | global batch size: 256 | lm loss: 2.424035E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.220 | TFLOPs: 19.67 | 31: iteration 6440/ 23189 | consumed samples: 1648640 | consumed tokens: 3376414720 | elapsed time per iteration (s): 0.83 | learning rate: 1.694E-04 | global batch size: 256 | lm loss: 2.426240E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.959 | TFLOPs: 18.69 | 31: iteration 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323.637 | TFLOPs: 19.58 | 31: iteration 6480/ 23189 | consumed samples: 1658880 | consumed tokens: 3397386240 | elapsed time per iteration (s): 0.84 | learning rate: 1.691E-04 | global batch size: 256 | lm loss: 2.430949E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.864 | TFLOPs: 18.38 | 31: iteration 6490/ 23189 | consumed samples: 1661440 | consumed tokens: 3402629120 | elapsed time per iteration (s): 0.80 | learning rate: 1.690E-04 | global batch size: 256 | lm loss: 2.414373E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.885 | TFLOPs: 19.29 | 31: iteration 6500/ 23189 | consumed samples: 1664000 | consumed tokens: 3407872000 | elapsed time per iteration (s): 0.81 | learning rate: 1.689E-04 | global batch size: 256 | lm loss: 2.552353E+00 | grad norm: 82.000 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.747 | TFLOPs: 19.22 | 31: iteration 6510/ 23189 | consumed samples: 1666560 | consumed tokens: 3413114880 | elapsed time per iteration (s): 0.83 | learning rate: 1.688E-04 | global batch size: 256 | lm loss: 3.170901E+00 | grad norm: 1.891 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.815 | TFLOPs: 18.74 | 31: iteration 6520/ 23189 | consumed samples: 1669120 | consumed tokens: 3418357760 | elapsed time per iteration (s): 0.83 | learning rate: 1.687E-04 | global batch size: 256 | lm loss: 3.327900E+00 | grad norm: 9.857 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.221 | TFLOPs: 18.59 | 31: iteration 6530/ 23189 | consumed samples: 1671680 | consumed tokens: 3423600640 | elapsed time per iteration (s): 0.80 | learning rate: 1.686E-04 | global batch size: 256 | lm loss: 2.888433E+00 | grad norm: 1.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.757 | TFLOPs: 19.34 | 31: iteration 6540/ 23189 | consumed samples: 1674240 | consumed tokens: 3428843520 | elapsed time per iteration (s): 0.80 | learning rate: 1.685E-04 | global batch size: 256 | lm loss: 2.648663E+00 | grad norm: 0.464 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.621 | TFLOPs: 19.28 | 31: iteration 6550/ 23189 | consumed samples: 1676800 | consumed tokens: 3434086400 | elapsed time per iteration (s): 0.81 | learning rate: 1.684E-04 | global batch size: 256 | lm loss: 2.547331E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.902 | TFLOPs: 19.17 | 31: iteration 6560/ 23189 | consumed samples: 1679360 | consumed tokens: 3439329280 | elapsed time per iteration (s): 0.78 | learning rate: 1.683E-04 | global batch size: 256 | lm loss: 2.488017E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.498 | TFLOPs: 19.75 | 31: iteration 6570/ 23189 | consumed samples: 1681920 | consumed tokens: 3444572160 | elapsed time per iteration (s): 0.83 | learning rate: 1.682E-04 | global batch size: 256 | lm loss: 2.468872E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 306.941 | TFLOPs: 18.57 | 31: iteration 6580/ 23189 | consumed samples: 1684480 | consumed tokens: 3449815040 | elapsed time per iteration (s): 0.78 | learning rate: 1.681E-04 | global batch size: 256 | lm loss: 2.465861E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.030 | TFLOPs: 19.84 | 31: iteration 6590/ 23189 | consumed samples: 1687040 | consumed tokens: 3455057920 | elapsed time per iteration (s): 0.81 | learning rate: 1.680E-04 | global batch size: 256 | lm loss: 2.447668E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.661 | TFLOPs: 19.10 | 31: iteration 6600/ 23189 | consumed samples: 1689600 | consumed tokens: 3460300800 | elapsed time per iteration (s): 0.77 | learning rate: 1.679E-04 | global batch size: 256 | lm loss: 2.444172E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.453 | TFLOPs: 20.23 | 31: iteration 6610/ 23189 | consumed samples: 1692160 | consumed tokens: 3465543680 | elapsed time per iteration (s): 0.74 | learning rate: 1.678E-04 | global batch size: 256 | lm loss: 2.443459E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.258 | TFLOPs: 21.01 | 31: iteration 6620/ 23189 | consumed samples: 1694720 | consumed tokens: 3470786560 | elapsed time per iteration (s): 0.79 | learning rate: 1.677E-04 | global batch size: 256 | lm loss: 2.418144E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.217 | TFLOPs: 19.55 | 31: iteration 6630/ 23189 | consumed samples: 1697280 | consumed tokens: 3476029440 | elapsed time per iteration (s): 0.78 | learning rate: 1.677E-04 | global batch size: 256 | lm loss: 2.444436E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.267 | TFLOPs: 19.92 | 31: iteration 6640/ 23189 | consumed samples: 1699840 | consumed tokens: 3481272320 | elapsed time per iteration (s): 0.76 | learning rate: 1.676E-04 | global batch size: 256 | lm loss: 2.416513E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.168 | TFLOPs: 20.46 | 31: iteration 6650/ 23189 | consumed samples: 1702400 | consumed tokens: 3486515200 | elapsed time per iteration (s): 0.75 | learning rate: 1.675E-04 | global batch size: 256 | lm loss: 2.399821E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.216 | TFLOPs: 20.58 | 31: iteration 6660/ 23189 | consumed samples: 1704960 | consumed tokens: 3491758080 | elapsed time per iteration (s): 0.76 | learning rate: 1.674E-04 | global batch size: 256 | lm loss: 2.451324E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.637 | TFLOPs: 20.43 | 31: iteration 6670/ 23189 | consumed samples: 1707520 | consumed tokens: 3497000960 | elapsed time per iteration (s): 0.73 | learning rate: 1.673E-04 | global batch size: 256 | lm loss: 2.416574E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.098 | TFLOPs: 21.24 | 31: iteration 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296.659 | TFLOPs: 17.95 | 31: iteration 6710/ 23189 | consumed samples: 1717760 | consumed tokens: 3517972480 | elapsed time per iteration (s): 0.82 | learning rate: 1.669E-04 | global batch size: 256 | lm loss: 2.445907E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.836 | TFLOPs: 18.93 | 31: iteration 6720/ 23189 | consumed samples: 1720320 | consumed tokens: 3523215360 | elapsed time per iteration (s): 0.81 | learning rate: 1.668E-04 | global batch size: 256 | lm loss: 2.401521E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.194 | TFLOPs: 19.19 | 31: iteration 6730/ 23189 | consumed samples: 1722880 | consumed tokens: 3528458240 | elapsed time per iteration (s): 0.85 | learning rate: 1.667E-04 | global batch size: 256 | lm loss: 2.445930E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 300.144 | TFLOPs: 18.16 | 31: iteration 6740/ 23189 | consumed samples: 1725440 | consumed tokens: 3533701120 | elapsed time per iteration (s): 0.82 | learning rate: 1.666E-04 | global batch size: 256 | lm loss: 2.422916E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.664 | TFLOPs: 18.85 | 31: iteration 6750/ 23189 | consumed samples: 1728000 | consumed tokens: 3538944000 | elapsed time per iteration (s): 0.89 | learning rate: 1.665E-04 | global batch size: 256 | lm loss: 2.398203E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.012 | TFLOPs: 17.36 | 31: iteration 6760/ 23189 | consumed samples: 1730560 | consumed tokens: 3544186880 | elapsed time per iteration (s): 0.89 | learning rate: 1.664E-04 | global batch size: 256 | lm loss: 2.418162E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.763 | TFLOPs: 17.47 | 31: iteration 6770/ 23189 | consumed samples: 1733120 | consumed tokens: 3549429760 | elapsed time per iteration (s): 0.80 | learning rate: 1.663E-04 | global batch size: 256 | lm loss: 2.380698E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.857 | TFLOPs: 19.47 | 31: iteration 6780/ 23189 | consumed samples: 1735680 | consumed tokens: 3554672640 | elapsed time per iteration (s): 0.75 | learning rate: 1.662E-04 | global batch size: 256 | lm loss: 2.393819E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.303 | TFLOPs: 20.53 | 31: iteration 6790/ 23189 | consumed samples: 1738240 | consumed tokens: 3559915520 | elapsed time per iteration (s): 0.78 | learning rate: 1.661E-04 | global batch size: 256 | lm loss: 2.414892E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.172 | TFLOPs: 19.73 | 31: iteration 6800/ 23189 | consumed samples: 1740800 | consumed tokens: 3565158400 | elapsed time per iteration (s): 0.76 | learning rate: 1.660E-04 | global batch size: 256 | lm loss: 2.461963E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.324 | TFLOPs: 20.41 | 31: iteration 6810/ 23189 | consumed samples: 1743360 | consumed tokens: 3570401280 | elapsed time per iteration (s): 0.76 | learning rate: 1.659E-04 | global batch size: 256 | lm loss: 2.405985E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.973 | TFLOPs: 20.51 | 31: iteration 6820/ 23189 | consumed samples: 1745920 | consumed tokens: 3575644160 | elapsed time per iteration (s): 0.76 | learning rate: 1.658E-04 | global batch size: 256 | lm loss: 2.405894E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.900 | TFLOPs: 20.32 | 31: iteration 6830/ 23189 | consumed samples: 1748480 | consumed tokens: 3580887040 | elapsed time per iteration (s): 0.77 | learning rate: 1.657E-04 | global batch size: 256 | lm loss: 2.421210E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.581 | TFLOPs: 20.18 | 31: iteration 6840/ 23189 | consumed samples: 1751040 | consumed tokens: 3586129920 | elapsed time per iteration (s): 0.77 | learning rate: 1.656E-04 | global batch size: 256 | lm loss: 2.413460E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.798 | TFLOPs: 20.01 | 31: iteration 6850/ 23189 | consumed samples: 1753600 | consumed tokens: 3591372800 | elapsed time per iteration (s): 0.74 | learning rate: 1.655E-04 | global batch size: 256 | lm loss: 2.407645E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.179 | TFLOPs: 20.88 | 31: iteration 6860/ 23189 | consumed samples: 1756160 | consumed tokens: 3596615680 | elapsed time per iteration (s): 0.75 | learning rate: 1.654E-04 | global batch size: 256 | lm loss: 2.391992E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.792 | TFLOPs: 20.68 | 31: iteration 6870/ 23189 | consumed samples: 1758720 | consumed tokens: 3601858560 | elapsed time per iteration (s): 0.79 | learning rate: 1.654E-04 | global batch size: 256 | lm loss: 2.440224E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.927 | TFLOPs: 19.60 | 31: iteration 6880/ 23189 | consumed samples: 1761280 | consumed tokens: 3607101440 | elapsed time per iteration (s): 0.72 | learning rate: 1.653E-04 | global batch size: 256 | lm loss: 2.430014E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.363 | TFLOPs: 21.56 | 31: iteration 6890/ 23189 | consumed samples: 1763840 | consumed tokens: 3612344320 | elapsed time per iteration (s): 0.76 | learning rate: 1.652E-04 | global batch size: 256 | lm loss: 2.365856E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.928 | TFLOPs: 20.26 | 31: iteration 6900/ 23189 | consumed samples: 1766400 | consumed tokens: 3617587200 | elapsed time per iteration (s): 0.74 | learning rate: 1.651E-04 | global batch size: 256 | lm loss: 2.373309E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.856 | TFLOPs: 20.80 | 31: iteration 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339.247 | TFLOPs: 20.52 | 31: iteration 6940/ 23189 | consumed samples: 1776640 | consumed tokens: 3638558720 | elapsed time per iteration (s): 0.77 | learning rate: 1.647E-04 | global batch size: 256 | lm loss: 2.416276E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.282 | TFLOPs: 20.10 | 31: iteration 6950/ 23189 | consumed samples: 1779200 | consumed tokens: 3643801600 | elapsed time per iteration (s): 0.75 | learning rate: 1.646E-04 | global batch size: 256 | lm loss: 2.392249E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.549 | TFLOPs: 20.54 | 31: iteration 6960/ 23189 | consumed samples: 1781760 | consumed tokens: 3649044480 | elapsed time per iteration (s): 0.77 | learning rate: 1.645E-04 | global batch size: 256 | lm loss: 2.432066E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.221 | TFLOPs: 20.22 | 31: iteration 6970/ 23189 | consumed samples: 1784320 | consumed tokens: 3654287360 | elapsed time per iteration (s): 0.82 | learning rate: 1.644E-04 | global batch size: 256 | lm loss: 2.393220E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.911 | TFLOPs: 18.93 | 31: iteration 6980/ 23189 | consumed samples: 1786880 | consumed tokens: 3659530240 | elapsed time per iteration (s): 0.80 | learning rate: 1.643E-04 | global batch size: 256 | lm loss: 2.373207E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.113 | TFLOPs: 19.43 | 31: iteration 6990/ 23189 | consumed samples: 1789440 | consumed tokens: 3664773120 | elapsed time per iteration (s): 0.75 | learning rate: 1.642E-04 | global batch size: 256 | lm loss: 2.426947E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.115 | TFLOPs: 20.76 | 31: iteration 7000/ 23189 | consumed samples: 1792000 | consumed tokens: 3670016000 | elapsed time per iteration (s): 0.79 | learning rate: 1.641E-04 | global batch size: 256 | lm loss: 2.411824E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.660 | TFLOPs: 19.58 | 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 7000 | lm loss value: 2.374324E+00 | lm loss PPL: 1.074374E+01 | 31: ------------------------------------------------------------------------------------------ 31: iteration 7010/ 23189 | consumed samples: 1794560 | consumed tokens: 3675258880 | elapsed time per iteration (s): 0.76 | learning rate: 1.640E-04 | global batch size: 256 | lm loss: 2.388658E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.344 | TFLOPs: 20.29 | 31: iteration 7020/ 23189 | consumed samples: 1797120 | consumed tokens: 3680501760 | elapsed time per iteration (s): 0.81 | learning rate: 1.639E-04 | global batch size: 256 | lm loss: 2.437840E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.764 | TFLOPs: 19.16 | 31: iteration 7030/ 23189 | consumed samples: 1799680 | consumed tokens: 3685744640 | elapsed time per iteration (s): 0.84 | learning rate: 1.638E-04 | global batch size: 256 | lm loss: 2.379167E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.486 | TFLOPs: 18.36 | 31: iteration 7040/ 23189 | consumed samples: 1802240 | consumed tokens: 3690987520 | elapsed time per iteration (s): 0.82 | learning rate: 1.637E-04 | global batch size: 256 | lm loss: 2.417505E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.530 | TFLOPs: 18.97 | 31: iteration 7050/ 23189 | consumed samples: 1804800 | consumed tokens: 3696230400 | elapsed time per iteration (s): 0.80 | learning rate: 1.636E-04 | global batch size: 256 | lm loss: 2.417387E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.271 | TFLOPs: 19.38 | 31: iteration 7060/ 23189 | consumed samples: 1807360 | consumed tokens: 3701473280 | elapsed time per iteration (s): 0.73 | learning rate: 1.635E-04 | global batch size: 256 | lm loss: 2.388838E+00 | grad norm: 0.535 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.541 | TFLOPs: 21.33 | 31: iteration 7070/ 23189 | consumed samples: 1809920 | consumed tokens: 3706716160 | elapsed time per iteration (s): 0.76 | learning rate: 1.634E-04 | global batch size: 256 | lm loss: 2.412063E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.160 | TFLOPs: 20.40 | 31: iteration 7080/ 23189 | consumed samples: 1812480 | consumed tokens: 3711959040 | elapsed time per iteration (s): 0.80 | learning rate: 1.633E-04 | global batch size: 256 | lm loss: 2.392815E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.729 | TFLOPs: 19.28 | 31: iteration 7090/ 23189 | consumed samples: 1815040 | consumed tokens: 3717201920 | elapsed time per iteration (s): 0.79 | learning rate: 1.632E-04 | global batch size: 256 | lm loss: 2.414233E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.532 | TFLOPs: 19.63 | 31: iteration 7100/ 23189 | consumed samples: 1817600 | consumed tokens: 3722444800 | elapsed time per iteration (s): 0.76 | learning rate: 1.631E-04 | global batch size: 256 | lm loss: 2.374634E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.592 | TFLOPs: 20.48 | 31: iteration 7110/ 23189 | consumed samples: 1820160 | consumed tokens: 3727687680 | elapsed time per iteration (s): 0.76 | learning rate: 1.630E-04 | global batch size: 256 | lm loss: 2.431911E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.629 | TFLOPs: 20.43 | 31: iteration 7120/ 23189 | consumed samples: 1822720 | consumed tokens: 3732930560 | elapsed time per iteration (s): 0.84 | learning rate: 1.629E-04 | global batch size: 256 | lm loss: 2.406828E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 304.344 | TFLOPs: 18.41 | 31: iteration 7130/ 23189 | consumed samples: 1825280 | consumed tokens: 3738173440 | elapsed time per iteration (s): 0.76 | learning rate: 1.628E-04 | global batch size: 256 | lm loss: 2.428625E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.103 | TFLOPs: 20.45 | 31: iteration 7140/ 23189 | consumed samples: 1827840 | consumed tokens: 3743416320 | elapsed time per iteration (s): 0.79 | learning rate: 1.627E-04 | global batch size: 256 | lm loss: 2.399076E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.985 | TFLOPs: 19.66 | 31: iteration 7150/ 23189 | consumed samples: 1830400 | consumed tokens: 3748659200 | elapsed time per iteration (s): 0.75 | learning rate: 1.626E-04 | global batch size: 256 | lm loss: 2.404711E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.453 | TFLOPs: 20.54 | 31: iteration 7160/ 23189 | consumed samples: 1832960 | consumed tokens: 3753902080 | elapsed time per iteration (s): 0.72 | learning rate: 1.625E-04 | global batch size: 256 | lm loss: 2.427367E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.357 | TFLOPs: 21.38 | 31: iteration 7170/ 23189 | consumed samples: 1835520 | consumed tokens: 3759144960 | elapsed time per iteration (s): 0.74 | learning rate: 1.624E-04 | global batch size: 256 | lm loss: 2.427255E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.495 | TFLOPs: 20.96 | 31: iteration 7180/ 23189 | consumed samples: 1838080 | consumed tokens: 3764387840 | elapsed time per iteration (s): 0.77 | learning rate: 1.623E-04 | global batch size: 256 | lm loss: 2.408073E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.144 | TFLOPs: 20.21 | 31: iteration 7190/ 23189 | consumed samples: 1840640 | consumed tokens: 3769630720 | elapsed time per iteration (s): 0.79 | learning rate: 1.622E-04 | global batch size: 256 | lm loss: 2.380532E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.168 | TFLOPs: 19.55 | 31: iteration 7200/ 23189 | consumed samples: 1843200 | consumed tokens: 3774873600 | elapsed time per iteration (s): 0.78 | learning rate: 1.621E-04 | global batch size: 256 | lm loss: 2.387985E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.927 | TFLOPs: 19.84 | 31: iteration 7210/ 23189 | consumed samples: 1845760 | consumed tokens: 3780116480 | elapsed time per iteration (s): 0.82 | learning rate: 1.620E-04 | global batch size: 256 | lm loss: 2.398859E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.746 | TFLOPs: 18.98 | 31: iteration 7220/ 23189 | consumed samples: 1848320 | consumed tokens: 3785359360 | elapsed time per iteration (s): 0.79 | learning rate: 1.619E-04 | global batch size: 256 | lm loss: 2.396622E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.795 | TFLOPs: 19.65 | 31: iteration 7230/ 23189 | consumed samples: 1850880 | consumed tokens: 3790602240 | elapsed time per iteration (s): 0.77 | learning rate: 1.618E-04 | global batch size: 256 | lm loss: 2.406104E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.645 | TFLOPs: 20.00 | 31: iteration 7240/ 23189 | consumed samples: 1853440 | consumed tokens: 3795845120 | elapsed time per iteration (s): 0.80 | learning rate: 1.617E-04 | global batch size: 256 | lm loss: 2.415583E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.807 | TFLOPs: 19.41 | 31: iteration 7250/ 23189 | consumed samples: 1856000 | consumed tokens: 3801088000 | elapsed time per iteration (s): 0.76 | learning rate: 1.616E-04 | global batch size: 256 | lm loss: 2.426022E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.204 | TFLOPs: 20.28 | 31: iteration 7260/ 23189 | consumed samples: 1858560 | consumed tokens: 3806330880 | elapsed time per iteration (s): 0.74 | learning rate: 1.615E-04 | global batch size: 256 | lm loss: 2.375187E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.912 | TFLOPs: 20.87 | 31: iteration 7270/ 23189 | consumed samples: 1861120 | consumed tokens: 3811573760 | elapsed time per iteration (s): 0.81 | learning rate: 1.614E-04 | global batch size: 256 | lm loss: 2.414755E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.274 | TFLOPs: 19.01 | 31: iteration 7280/ 23189 | consumed samples: 1863680 | consumed tokens: 3816816640 | elapsed time per iteration (s): 0.75 | learning rate: 1.613E-04 | global batch size: 256 | lm loss: 2.417903E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.265 | TFLOPs: 20.52 | 31: iteration 7290/ 23189 | consumed samples: 1866240 | consumed tokens: 3822059520 | elapsed time per iteration (s): 0.77 | learning rate: 1.612E-04 | global batch size: 256 | lm loss: 2.406627E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.347 | TFLOPs: 20.17 | 31: iteration 7300/ 23189 | consumed samples: 1868800 | consumed tokens: 3827302400 | elapsed time per iteration (s): 0.75 | learning rate: 1.611E-04 | global batch size: 256 | lm loss: 2.413115E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.348 | TFLOPs: 20.53 | 31: iteration 7310/ 23189 | consumed samples: 1871360 | consumed tokens: 3832545280 | elapsed time per iteration (s): 0.73 | learning rate: 1.610E-04 | global batch size: 256 | lm loss: 2.402042E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.659 | TFLOPs: 21.15 | 31: iteration 7320/ 23189 | consumed samples: 1873920 | consumed tokens: 3837788160 | elapsed time per iteration (s): 0.76 | learning rate: 1.609E-04 | global batch size: 256 | lm loss: 2.386639E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.884 | TFLOPs: 20.38 | 31: iteration 7330/ 23189 | consumed samples: 1876480 | consumed tokens: 3843031040 | elapsed time per iteration (s): 0.78 | learning rate: 1.608E-04 | global batch size: 256 | lm loss: 2.401789E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.103 | TFLOPs: 19.91 | 31: iteration 7340/ 23189 | consumed samples: 1879040 | consumed tokens: 3848273920 | elapsed time per iteration (s): 0.75 | learning rate: 1.607E-04 | global batch size: 256 | lm loss: 2.372126E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.365 | TFLOPs: 20.71 | 31: iteration 7350/ 23189 | consumed samples: 1881600 | consumed tokens: 3853516800 | elapsed time per iteration (s): 0.75 | learning rate: 1.606E-04 | global batch size: 256 | lm loss: 2.392948E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.698 | TFLOPs: 20.67 | 31: iteration 7360/ 23189 | consumed samples: 1884160 | consumed tokens: 3858759680 | elapsed time per iteration (s): 0.77 | learning rate: 1.605E-04 | global batch size: 256 | lm loss: 2.408680E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.051 | TFLOPs: 20.09 | 31: iteration 7370/ 23189 | consumed samples: 1886720 | consumed tokens: 3864002560 | elapsed time per iteration (s): 0.80 | learning rate: 1.604E-04 | global batch size: 256 | lm loss: 2.389518E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.767 | TFLOPs: 19.41 | 31: iteration 7380/ 23189 | consumed samples: 1889280 | consumed tokens: 3869245440 | elapsed time per iteration (s): 0.84 | learning rate: 1.603E-04 | global batch size: 256 | lm loss: 2.393965E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 304.747 | TFLOPs: 18.44 | 31: iteration 7390/ 23189 | consumed samples: 1891840 | consumed tokens: 3874488320 | elapsed time per iteration (s): 0.75 | learning rate: 1.602E-04 | global batch size: 256 | lm loss: 2.364173E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.657 | TFLOPs: 20.73 | 31: iteration 7400/ 23189 | consumed samples: 1894400 | consumed tokens: 3879731200 | elapsed time per iteration (s): 0.77 | learning rate: 1.601E-04 | global batch size: 256 | lm loss: 2.402539E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.979 | TFLOPs: 20.14 | 31: iteration 7410/ 23189 | consumed samples: 1896960 | consumed tokens: 3884974080 | elapsed time per iteration (s): 0.79 | learning rate: 1.600E-04 | global batch size: 256 | lm loss: 2.408716E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.596 | TFLOPs: 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| samples per second: 337.941 | TFLOPs: 20.44 | 31: iteration 7450/ 23189 | consumed samples: 1907200 | consumed tokens: 3905945600 | elapsed time per iteration (s): 0.78 | learning rate: 1.596E-04 | global batch size: 256 | lm loss: 2.388286E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.461 | TFLOPs: 19.75 | 31: iteration 7460/ 23189 | consumed samples: 1909760 | consumed tokens: 3911188480 | elapsed time per iteration (s): 0.79 | learning rate: 1.594E-04 | global batch size: 256 | lm loss: 2.399370E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.818 | TFLOPs: 19.65 | 31: iteration 7470/ 23189 | consumed samples: 1912320 | consumed tokens: 3916431360 | elapsed time per iteration (s): 0.75 | learning rate: 1.593E-04 | global batch size: 256 | lm loss: 2.366600E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.513 | TFLOPs: 20.72 | 31: iteration 7480/ 23189 | consumed samples: 1914880 | consumed tokens: 3921674240 | elapsed time per iteration (s): 0.75 | learning rate: 1.592E-04 | global batch size: 256 | lm loss: 2.364223E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.364 | TFLOPs: 20.59 | 31: iteration 7490/ 23189 | consumed samples: 1917440 | consumed tokens: 3926917120 | elapsed time per iteration (s): 0.78 | learning rate: 1.591E-04 | global batch size: 256 | lm loss: 2.395634E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.985 | TFLOPs: 19.90 | 31: iteration 7500/ 23189 | consumed samples: 1920000 | consumed tokens: 3932160000 | elapsed time per iteration (s): 0.77 | learning rate: 1.590E-04 | global batch size: 256 | lm loss: 2.357038E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.369 | TFLOPs: 20.17 | 31: iteration 7510/ 23189 | consumed samples: 1922560 | consumed tokens: 3937402880 | elapsed time per iteration (s): 0.74 | learning rate: 1.589E-04 | global batch size: 256 | lm loss: 2.365397E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.794 | TFLOPs: 20.86 | 31: iteration 7520/ 23189 | consumed samples: 1925120 | consumed tokens: 3942645760 | elapsed time per iteration (s): 0.74 | learning rate: 1.588E-04 | global batch size: 256 | lm loss: 2.409404E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.047 | TFLOPs: 21.00 | 31: iteration 7530/ 23189 | consumed samples: 1927680 | consumed tokens: 3947888640 | elapsed time per iteration (s): 0.76 | learning rate: 1.587E-04 | global batch size: 256 | lm loss: 2.410491E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.829 | TFLOPs: 20.26 | 31: iteration 7540/ 23189 | consumed samples: 1930240 | consumed tokens: 3953131520 | elapsed time per iteration (s): 0.76 | learning rate: 1.586E-04 | global batch size: 256 | lm loss: 2.393191E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.418 | TFLOPs: 20.35 | 31: iteration 7550/ 23189 | consumed samples: 1932800 | consumed tokens: 3958374400 | elapsed time per iteration (s): 0.75 | learning rate: 1.585E-04 | global batch size: 256 | lm loss: 2.369525E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.741 | TFLOPs: 20.73 | 31: iteration 7560/ 23189 | consumed samples: 1935360 | consumed tokens: 3963617280 | elapsed time per iteration (s): 0.79 | learning rate: 1.584E-04 | global batch size: 256 | lm loss: 2.372857E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.067 | TFLOPs: 19.67 | 31: iteration 7570/ 23189 | consumed samples: 1937920 | consumed tokens: 3968860160 | elapsed time per iteration (s): 0.77 | learning rate: 1.583E-04 | global batch size: 256 | lm loss: 2.380560E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.655 | TFLOPs: 20.12 | 31: iteration 7580/ 23189 | consumed samples: 1940480 | consumed tokens: 3974103040 | elapsed time per iteration (s): 0.73 | learning rate: 1.582E-04 | global batch size: 256 | lm loss: 2.412166E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.541 | TFLOPs: 21.15 | 31: iteration 7590/ 23189 | consumed samples: 1943040 | consumed tokens: 3979345920 | elapsed time per iteration (s): 0.77 | learning rate: 1.581E-04 | global batch size: 256 | lm loss: 2.414560E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.028 | TFLOPs: 20.03 | 31: iteration 7600/ 23189 | consumed samples: 1945600 | consumed tokens: 3984588800 | elapsed time per iteration (s): 0.80 | learning rate: 1.580E-04 | global batch size: 256 | lm loss: 2.381074E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.168 | TFLOPs: 19.43 | 31: iteration 7610/ 23189 | consumed samples: 1948160 | consumed tokens: 3989831680 | elapsed time per iteration (s): 0.77 | learning rate: 1.579E-04 | global batch size: 256 | lm loss: 2.425840E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.566 | TFLOPs: 20.06 | 31: iteration 7620/ 23189 | consumed samples: 1950720 | consumed tokens: 3995074560 | elapsed time per iteration (s): 0.78 | learning rate: 1.578E-04 | global batch size: 256 | lm loss: 2.347570E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.862 | TFLOPs: 19.83 | 31: iteration 7630/ 23189 | consumed samples: 1953280 | consumed tokens: 4000317440 | elapsed time per iteration (s): 0.78 | learning rate: 1.577E-04 | global batch size: 256 | lm loss: 2.369285E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.526 | TFLOPs: 19.81 | 31: iteration 7640/ 23189 | consumed samples: 1955840 | consumed tokens: 4005560320 | elapsed time per iteration (s): 0.76 | learning rate: 1.576E-04 | global batch size: 256 | lm loss: 2.397390E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.905 | TFLOPs: 20.26 | 31: iteration 7650/ 23189 | consumed samples: 1958400 | consumed tokens: 4010803200 | elapsed time per iteration (s): 0.74 | learning rate: 1.575E-04 | global batch size: 256 | lm loss: 2.395012E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.633 | TFLOPs: 20.97 | 31: iteration 7660/ 23189 | consumed samples: 1960960 | consumed tokens: 4016046080 | elapsed time per iteration (s): 0.76 | learning rate: 1.574E-04 | global batch size: 256 | lm loss: 2.346590E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.986 | TFLOPs: 20.39 | 31: iteration 7670/ 23189 | consumed samples: 1963520 | consumed tokens: 4021288960 | elapsed time per iteration (s): 0.71 | learning rate: 1.573E-04 | global batch size: 256 | lm loss: 2.385083E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.204 | TFLOPs: 21.67 | 31: iteration 7680/ 23189 | consumed samples: 1966080 | consumed tokens: 4026531840 | elapsed time per iteration (s): 0.78 | learning rate: 1.572E-04 | global batch size: 256 | lm loss: 2.368246E+00 | grad norm: 0.690 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.188 | TFLOPs: 19.85 | 31: iteration 7690/ 23189 | consumed samples: 1968640 | consumed tokens: 4031774720 | elapsed time per iteration (s): 0.73 | learning rate: 1.571E-04 | global batch size: 256 | lm loss: 2.404610E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.436 | TFLOPs: 21.08 | 31: iteration 7700/ 23189 | consumed samples: 1971200 | consumed tokens: 4037017600 | elapsed time per iteration (s): 0.77 | learning rate: 1.570E-04 | global batch size: 256 | lm loss: 2.385062E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.552 | TFLOPs: 20.18 | 31: iteration 7710/ 23189 | consumed samples: 1973760 | consumed tokens: 4042260480 | elapsed time per iteration (s): 0.77 | learning rate: 1.568E-04 | global batch size: 256 | lm loss: 2.379762E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.900 | TFLOPs: 20.02 | 31: iteration 7720/ 23189 | consumed samples: 1976320 | consumed tokens: 4047503360 | elapsed time per iteration (s): 0.82 | learning rate: 1.567E-04 | global batch size: 256 | lm loss: 2.383072E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.945 | TFLOPs: 18.93 | 31: iteration 7730/ 23189 | consumed samples: 1978880 | consumed tokens: 4052746240 | elapsed time per iteration (s): 0.77 | learning rate: 1.566E-04 | global batch size: 256 | lm loss: 2.406119E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.573 | TFLOPs: 20.24 | 31: iteration 7740/ 23189 | consumed samples: 1981440 | consumed tokens: 4057989120 | elapsed time per iteration (s): 0.82 | learning rate: 1.565E-04 | global batch size: 256 | lm loss: 2.386576E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.875 | TFLOPs: 18.87 | 31: iteration 7750/ 23189 | consumed samples: 1984000 | consumed tokens: 4063232000 | elapsed time per iteration (s): 0.78 | learning rate: 1.564E-04 | global batch size: 256 | lm loss: 2.384483E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.363 | TFLOPs: 19.93 | 31: iteration 7760/ 23189 | consumed samples: 1986560 | consumed tokens: 4068474880 | elapsed time per iteration (s): 0.79 | learning rate: 1.563E-04 | global batch size: 256 | lm loss: 2.391879E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.967 | TFLOPs: 19.60 | 31: iteration 7770/ 23189 | consumed samples: 1989120 | consumed tokens: 4073717760 | elapsed time per iteration (s): 0.79 | learning rate: 1.562E-04 | global batch size: 256 | lm loss: 2.378872E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.444 | TFLOPs: 19.63 | 31: iteration 7780/ 23189 | consumed samples: 1991680 | consumed tokens: 4078960640 | elapsed time per iteration (s): 0.81 | learning rate: 1.561E-04 | global batch size: 256 | lm loss: 2.417936E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.048 | TFLOPs: 19.18 | 31: iteration 7790/ 23189 | consumed samples: 1994240 | consumed tokens: 4084203520 | elapsed time per iteration (s): 0.82 | learning rate: 1.560E-04 | global batch size: 256 | lm loss: 2.372281E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.442 | TFLOPs: 18.84 | 31: iteration 7800/ 23189 | consumed samples: 1996800 | consumed tokens: 4089446400 | elapsed time per iteration (s): 0.79 | learning rate: 1.559E-04 | global batch size: 256 | lm loss: 2.369424E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.984 | TFLOPs: 19.60 | 31: iteration 7810/ 23189 | consumed samples: 1999360 | consumed tokens: 4094689280 | elapsed time per iteration (s): 0.81 | learning rate: 1.558E-04 | global batch size: 256 | lm loss: 2.361666E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.909 | TFLOPs: 19.17 | 31: iteration 7820/ 23189 | consumed samples: 2001920 | consumed tokens: 4099932160 | elapsed time per iteration (s): 0.81 | learning rate: 1.557E-04 | global batch size: 256 | lm loss: 2.407863E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.256 | TFLOPs: 19.07 | 31: iteration 7830/ 23189 | consumed samples: 2004480 | consumed tokens: 4105175040 | elapsed time per iteration (s): 0.80 | learning rate: 1.556E-04 | global batch size: 256 | lm loss: 2.362505E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.211 | TFLOPs: 19.31 | 31: iteration 7840/ 23189 | consumed samples: 2007040 | consumed tokens: 4110417920 | elapsed time per iteration (s): 0.83 | learning rate: 1.555E-04 | global batch size: 256 | lm loss: 2.359660E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.857 | TFLOPs: 18.62 | 31: iteration 7850/ 23189 | consumed samples: 2009600 | consumed tokens: 4115660800 | elapsed time per iteration (s): 0.81 | learning rate: 1.554E-04 | global batch size: 256 | lm loss: 2.399651E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.894 | TFLOPs: 19.05 | 31: iteration 7860/ 23189 | consumed samples: 2012160 | consumed tokens: 4120903680 | elapsed time per iteration (s): 0.86 | learning rate: 1.553E-04 | global batch size: 256 | lm loss: 2.362732E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 297.432 | TFLOPs: 17.99 | 31: iteration 7870/ 23189 | consumed samples: 2014720 | consumed tokens: 4126146560 | elapsed time per iteration (s): 0.80 | learning rate: 1.552E-04 | global batch size: 256 | lm loss: 2.385697E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.123 | TFLOPs: 19.43 | 31: iteration 7880/ 23189 | consumed samples: 2017280 | consumed tokens: 4131389440 | elapsed time per iteration (s): 0.87 | learning rate: 1.550E-04 | global batch size: 256 | lm loss: 2.366289E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 293.738 | TFLOPs: 17.77 | 31: iteration 7890/ 23189 | consumed samples: 2019840 | consumed tokens: 4136632320 | elapsed time per iteration (s): 0.80 | learning rate: 1.549E-04 | global batch size: 256 | lm loss: 2.370038E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.719 | TFLOPs: 19.34 | 31: iteration 7900/ 23189 | consumed samples: 2022400 | consumed tokens: 4141875200 | elapsed time per iteration (s): 0.84 | learning rate: 1.548E-04 | global batch size: 256 | lm loss: 2.346178E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 304.673 | TFLOPs: 18.43 | 31: iteration 7910/ 23189 | consumed samples: 2024960 | consumed tokens: 4147118080 | elapsed time per iteration (s): 0.80 | learning rate: 1.547E-04 | global batch size: 256 | lm loss: 2.393399E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.551 | TFLOPs: 19.39 | 31: iteration 7920/ 23189 | consumed samples: 2027520 | consumed tokens: 4152360960 | elapsed time per iteration (s): 0.79 | learning rate: 1.546E-04 | global batch size: 256 | lm loss: 2.356449E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.924 | TFLOPs: 19.54 | 31: iteration 7930/ 23189 | consumed samples: 2030080 | consumed tokens: 4157603840 | elapsed time per iteration (s): 0.84 | learning rate: 1.545E-04 | global batch size: 256 | lm loss: 2.400258E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.766 | TFLOPs: 18.38 | 31: iteration 7940/ 23189 | consumed samples: 2032640 | consumed tokens: 4162846720 | elapsed time per iteration (s): 0.80 | learning rate: 1.544E-04 | global batch size: 256 | lm loss: 2.341830E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.491 | TFLOPs: 19.45 | 31: iteration 7950/ 23189 | consumed samples: 2035200 | consumed tokens: 4168089600 | elapsed time per iteration (s): 0.81 | learning rate: 1.543E-04 | global batch size: 256 | lm loss: 2.344856E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.747 | TFLOPs: 19.16 | 31: iteration 7960/ 23189 | consumed samples: 2037760 | consumed tokens: 4173332480 | elapsed time per iteration (s): 0.80 | learning rate: 1.542E-04 | global batch size: 256 | lm loss: 2.414882E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.034 | TFLOPs: 19.42 | 31: iteration 7970/ 23189 | consumed samples: 2040320 | consumed tokens: 4178575360 | elapsed time per iteration (s): 0.83 | learning rate: 1.541E-04 | global batch size: 256 | lm loss: 2.379118E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.069 | TFLOPs: 18.58 | 31: iteration 7980/ 23189 | consumed samples: 2042880 | consumed tokens: 4183818240 | elapsed time per iteration (s): 0.78 | learning rate: 1.540E-04 | global batch size: 256 | lm loss: 2.370807E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.566 | TFLOPs: 19.76 | 31: iteration 7990/ 23189 | consumed samples: 2045440 | consumed tokens: 4189061120 | elapsed time per iteration (s): 0.78 | learning rate: 1.539E-04 | global batch size: 256 | lm loss: 2.404254E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.788 | TFLOPs: 19.95 | 0: [2022-11-28 19:36:23,023] [INFO] [logging.py:68:log_dist] [Rank 0] step=8000, skipped=0, lr=[0.000153760372195672, 0.000153760372195672, 0.000153760372195672], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 8000/ 23189 | consumed samples: 2048000 | consumed tokens: 4194304000 | elapsed time per iteration (s): 0.80 | learning rate: 1.538E-04 | global batch size: 256 | lm loss: 2.369260E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.240 | TFLOPs: 19.25 | 0: steps: 8000 loss: 2.3651 iter time (s): 0.782 samples/sec: 327.227 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 8000 | lm loss value: 2.356105E+00 | lm loss PPL: 1.054978E+01 | 31: ------------------------------------------------------------------------------------------ 31: iteration 8010/ 23189 | consumed samples: 2050560 | consumed tokens: 4199546880 | elapsed time per iteration (s): 0.81 | learning rate: 1.537E-04 | global batch size: 256 | lm loss: 2.396969E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.708 | TFLOPs: 19.04 | 31: iteration 8020/ 23189 | consumed samples: 2053120 | consumed tokens: 4204789760 | elapsed time per iteration (s): 0.81 | learning rate: 1.535E-04 | global batch size: 256 | lm loss: 2.363644E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.121 | TFLOPs: 19.06 | 31: iteration 8030/ 23189 | consumed samples: 2055680 | consumed tokens: 4210032640 | elapsed time per iteration (s): 0.83 | learning rate: 1.534E-04 | global batch size: 256 | lm loss: 2.355833E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.715 | TFLOPs: 18.74 | 31: iteration 8040/ 23189 | consumed samples: 2058240 | consumed tokens: 4215275520 | elapsed time per iteration (s): 0.78 | learning rate: 1.533E-04 | global batch size: 256 | lm loss: 2.364001E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.018 | TFLOPs: 19.84 | 31: iteration 8050/ 23189 | consumed samples: 2060800 | consumed tokens: 4220518400 | elapsed time per iteration (s): 0.79 | learning rate: 1.532E-04 | global batch size: 256 | lm loss: 2.354836E+00 | grad norm: 0.745 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.415 | TFLOPs: 19.51 | 31: iteration 8060/ 23189 | consumed samples: 2063360 | consumed tokens: 4225761280 | elapsed time per iteration (s): 0.83 | learning rate: 1.531E-04 | global batch size: 256 | lm loss: 2.455732E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.860 | TFLOPs: 18.69 | 31: iteration 8070/ 23189 | consumed samples: 2065920 | consumed tokens: 4231004160 | elapsed time per iteration (s): 0.83 | learning rate: 1.530E-04 | global batch size: 256 | lm loss: 2.383253E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.040 | TFLOPs: 18.70 | 31: iteration 8080/ 23189 | consumed samples: 2068480 | consumed tokens: 4236247040 | elapsed time per iteration (s): 0.78 | learning rate: 1.529E-04 | global batch size: 256 | lm loss: 2.368932E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.097 | TFLOPs: 19.97 | 31: iteration 8090/ 23189 | consumed samples: 2071040 | consumed tokens: 4241489920 | elapsed time per iteration (s): 0.84 | learning rate: 1.528E-04 | global batch size: 256 | lm loss: 2.356816E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.065 | TFLOPs: 18.46 | 31: iteration 8100/ 23189 | consumed samples: 2073600 | consumed tokens: 4246732800 | elapsed time per iteration (s): 0.80 | learning rate: 1.527E-04 | global batch size: 256 | lm loss: 2.375414E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.148 | TFLOPs: 19.43 | 31: iteration 8110/ 23189 | consumed samples: 2076160 | consumed tokens: 4251975680 | elapsed time per iteration (s): 0.75 | learning rate: 1.526E-04 | global batch size: 256 | lm loss: 2.358582E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.513 | TFLOPs: 20.66 | 31: iteration 8120/ 23189 | consumed samples: 2078720 | consumed tokens: 4257218560 | elapsed time per iteration (s): 0.79 | learning rate: 1.525E-04 | global batch size: 256 | lm loss: 2.363016E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.376 | TFLOPs: 19.50 | 31: iteration 8130/ 23189 | consumed samples: 2081280 | consumed tokens: 4262461440 | elapsed time per iteration (s): 0.76 | learning rate: 1.524E-04 | global batch size: 256 | lm loss: 2.362770E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.839 | TFLOPs: 20.38 | 31: iteration 8140/ 23189 | consumed samples: 2083840 | consumed tokens: 4267704320 | elapsed time per iteration (s): 0.76 | learning rate: 1.522E-04 | global batch size: 256 | lm loss: 2.375222E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.783 | TFLOPs: 20.43 | 31: iteration 8150/ 23189 | consumed samples: 2086400 | consumed tokens: 4272947200 | elapsed time per iteration (s): 0.74 | learning rate: 1.521E-04 | global batch size: 256 | lm loss: 2.360160E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.655 | TFLOPs: 20.91 | 31: iteration 8160/ 23189 | consumed samples: 2088960 | consumed tokens: 4278190080 | elapsed time per iteration (s): 0.81 | learning rate: 1.520E-04 | global batch size: 256 | lm loss: 2.378897E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.726 | TFLOPs: 19.16 | 31: iteration 8170/ 23189 | consumed samples: 2091520 | consumed tokens: 4283432960 | elapsed time per iteration (s): 0.82 | learning rate: 1.519E-04 | global batch size: 256 | lm loss: 2.360003E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.110 | TFLOPs: 18.82 | 31: iteration 8180/ 23189 | consumed samples: 2094080 | consumed tokens: 4288675840 | elapsed time per iteration (s): 0.75 | learning rate: 1.518E-04 | global batch size: 256 | lm loss: 2.353917E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.143 | TFLOPs: 20.52 | 31: iteration 8190/ 23189 | consumed samples: 2096640 | consumed tokens: 4293918720 | elapsed time per iteration (s): 0.75 | learning rate: 1.517E-04 | global batch size: 256 | lm loss: 2.388531E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.167 | TFLOPs: 20.70 | 31: iteration 8200/ 23189 | consumed samples: 2099200 | consumed tokens: 4299161600 | elapsed time per iteration (s): 0.74 | learning rate: 1.516E-04 | global batch size: 256 | lm loss: 2.423129E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.846 | TFLOPs: 20.86 | 31: iteration 8210/ 23189 | consumed samples: 2101760 | consumed tokens: 4304404480 | elapsed time per iteration (s): 0.75 | learning rate: 1.515E-04 | global batch size: 256 | lm loss: 2.379290E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.938 | TFLOPs: 20.69 | 31: iteration 8220/ 23189 | consumed samples: 2104320 | consumed tokens: 4309647360 | elapsed time per iteration (s): 0.74 | learning rate: 1.514E-04 | global batch size: 256 | lm loss: 2.367503E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.946 | TFLOPs: 20.87 | 31: iteration 8230/ 23189 | consumed samples: 2106880 | consumed tokens: 4314890240 | elapsed time per iteration (s): 0.78 | learning rate: 1.513E-04 | global batch size: 256 | lm loss: 2.335785E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.821 | TFLOPs: 19.83 | 31: iteration 8240/ 23189 | consumed samples: 2109440 | consumed tokens: 4320133120 | elapsed time per iteration (s): 0.76 | learning rate: 1.512E-04 | global batch size: 256 | lm loss: 2.362446E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.141 | TFLOPs: 20.46 | 31: iteration 8250/ 23189 | consumed samples: 2112000 | consumed tokens: 4325376000 | elapsed time per iteration (s): 0.76 | learning rate: 1.510E-04 | global batch size: 256 | lm loss: 2.391008E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.295 | TFLOPs: 20.34 | 31: iteration 8260/ 23189 | consumed samples: 2114560 | consumed tokens: 4330618880 | elapsed time per iteration (s): 0.74 | learning rate: 1.509E-04 | global batch size: 256 | lm loss: 2.372449E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.570 | TFLOPs: 20.85 | 31: iteration 8270/ 23189 | consumed samples: 2117120 | consumed tokens: 4335861760 | elapsed time per iteration (s): 0.80 | learning rate: 1.508E-04 | global batch size: 256 | lm loss: 2.366981E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.380 | TFLOPs: 19.32 | 31: iteration 8280/ 23189 | consumed samples: 2119680 | consumed tokens: 4341104640 | elapsed time per iteration (s): 0.75 | learning rate: 1.507E-04 | global batch size: 256 | lm loss: 2.359987E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.390 | TFLOPs: 20.71 | 31: iteration 8290/ 23189 | consumed samples: 2122240 | consumed tokens: 4346347520 | elapsed time per iteration (s): 0.73 | learning rate: 1.506E-04 | global batch size: 256 | lm loss: 2.405358E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.823 | TFLOPs: 21.16 | 31: iteration 8300/ 23189 | consumed samples: 2124800 | consumed tokens: 4351590400 | elapsed time per iteration (s): 0.72 | learning rate: 1.505E-04 | global batch size: 256 | lm loss: 2.378252E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.305 | TFLOPs: 21.62 | 31: iteration 8310/ 23189 | consumed samples: 2127360 | consumed tokens: 4356833280 | elapsed time per iteration (s): 0.74 | learning rate: 1.504E-04 | global batch size: 256 | lm loss: 2.357035E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.694 | TFLOPs: 20.91 | 31: iteration 8320/ 23189 | consumed samples: 2129920 | consumed tokens: 4362076160 | elapsed time per iteration (s): 0.75 | learning rate: 1.503E-04 | global batch size: 256 | lm loss: 2.397554E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.118 | TFLOPs: 20.64 | 31: iteration 8330/ 23189 | consumed samples: 2132480 | consumed tokens: 4367319040 | elapsed time per iteration (s): 0.76 | learning rate: 1.502E-04 | global batch size: 256 | lm loss: 2.392062E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.010 | TFLOPs: 20.39 | 31: iteration 8340/ 23189 | consumed samples: 2135040 | consumed tokens: 4372561920 | elapsed time per iteration (s): 0.75 | learning rate: 1.501E-04 | global batch size: 256 | lm loss: 2.391696E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.384 | TFLOPs: 20.53 | 31: iteration 8350/ 23189 | consumed samples: 2137600 | consumed tokens: 4377804800 | elapsed time per iteration (s): 0.78 | learning rate: 1.499E-04 | global batch size: 256 | lm loss: 2.369693E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.830 | TFLOPs: 19.77 | 31: iteration 8360/ 23189 | consumed samples: 2140160 | consumed tokens: 4383047680 | elapsed time per iteration (s): 0.72 | learning rate: 1.498E-04 | global batch size: 256 | lm loss: 2.375073E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.367 | TFLOPs: 21.38 | 31: iteration 8370/ 23189 | consumed samples: 2142720 | consumed tokens: 4388290560 | elapsed time per iteration (s): 0.77 | learning rate: 1.497E-04 | global batch size: 256 | lm loss: 2.333266E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.013 | TFLOPs: 20.15 | 31: iteration 8380/ 23189 | consumed samples: 2145280 | consumed tokens: 4393533440 | elapsed time per iteration (s): 0.78 | learning rate: 1.496E-04 | global batch size: 256 | lm loss: 2.359624E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.238 | TFLOPs: 19.92 | 31: iteration 8390/ 23189 | consumed samples: 2147840 | consumed tokens: 4398776320 | elapsed time per iteration (s): 0.82 | learning rate: 1.495E-04 | global batch size: 256 | lm loss: 2.354939E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.609 | TFLOPs: 18.85 | 31: iteration 8400/ 23189 | consumed samples: 2150400 | consumed tokens: 4404019200 | elapsed time per iteration (s): 0.74 | learning rate: 1.494E-04 | global batch size: 256 | lm loss: 2.335140E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.198 | TFLOPs: 21.07 | 31: iteration 8410/ 23189 | consumed samples: 2152960 | consumed tokens: 4409262080 | elapsed time per iteration (s): 0.74 | learning rate: 1.493E-04 | global batch size: 256 | lm loss: 2.319117E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.368 | TFLOPs: 20.83 | 31: iteration 8420/ 23189 | consumed samples: 2155520 | consumed tokens: 4414504960 | elapsed time per iteration (s): 0.76 | learning rate: 1.492E-04 | global batch size: 256 | lm loss: 2.341427E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.716 | TFLOPs: 20.37 | 31: iteration 8430/ 23189 | consumed samples: 2158080 | consumed tokens: 4419747840 | elapsed time per iteration (s): 0.82 | learning rate: 1.491E-04 | global batch size: 256 | lm loss: 2.372447E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.327 | TFLOPs: 18.77 | 31: iteration 8440/ 23189 | consumed samples: 2160640 | consumed tokens: 4424990720 | elapsed time per iteration (s): 0.81 | learning rate: 1.489E-04 | global batch size: 256 | lm loss: 2.351006E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.973 | TFLOPs: 19.18 | 31: iteration 8450/ 23189 | consumed samples: 2163200 | consumed tokens: 4430233600 | elapsed time per iteration (s): 0.78 | learning rate: 1.488E-04 | global batch size: 256 | lm loss: 2.361819E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.705 | TFLOPs: 19.76 | 31: iteration 8460/ 23189 | consumed samples: 2165760 | consumed tokens: 4435476480 | elapsed time per iteration (s): 0.80 | learning rate: 1.487E-04 | global batch size: 256 | lm loss: 2.383174E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.932 | TFLOPs: 19.48 | 31: iteration 8470/ 23189 | consumed samples: 2168320 | consumed tokens: 4440719360 | elapsed time per iteration (s): 0.79 | learning rate: 1.486E-04 | global batch size: 256 | lm loss: 2.346597E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.080 | TFLOPs: 19.55 | 31: iteration 8480/ 23189 | consumed samples: 2170880 | consumed tokens: 4445962240 | elapsed time per iteration (s): 0.79 | learning rate: 1.485E-04 | global batch size: 256 | lm loss: 2.343613E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.334 | TFLOPs: 19.50 | 31: iteration 8490/ 23189 | consumed samples: 2173440 | consumed tokens: 4451205120 | elapsed time per iteration (s): 0.79 | learning rate: 1.484E-04 | global batch size: 256 | lm loss: 2.370077E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.817 | TFLOPs: 19.53 | 31: iteration 8500/ 23189 | consumed samples: 2176000 | consumed tokens: 4456448000 | elapsed time per iteration (s): 0.81 | learning rate: 1.483E-04 | global batch size: 256 | lm loss: 2.373338E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.503 | TFLOPs: 19.21 | 31: iteration 8510/ 23189 | consumed samples: 2178560 | consumed tokens: 4461690880 | elapsed time per iteration (s): 0.84 | learning rate: 1.482E-04 | global batch size: 256 | lm loss: 2.312006E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.892 | TFLOPs: 18.51 | 31: iteration 8520/ 23189 | consumed samples: 2181120 | consumed tokens: 4466933760 | elapsed time per iteration (s): 0.81 | learning rate: 1.481E-04 | global batch size: 256 | lm loss: 2.335583E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.906 | TFLOPs: 19.23 | 31: iteration 8530/ 23189 | consumed samples: 2183680 | consumed tokens: 4472176640 | elapsed time per iteration (s): 0.79 | learning rate: 1.479E-04 | global batch size: 256 | lm loss: 2.340396E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.084 | TFLOPs: 19.49 | 31: iteration 8540/ 23189 | consumed samples: 2186240 | consumed tokens: 4477419520 | elapsed time per iteration (s): 0.79 | learning rate: 1.478E-04 | global batch size: 256 | lm loss: 2.350266E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.800 | TFLOPs: 19.65 | 31: iteration 8550/ 23189 | consumed samples: 2188800 | consumed tokens: 4482662400 | elapsed time per iteration (s): 0.84 | learning rate: 1.477E-04 | global batch size: 256 | lm loss: 2.347448E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.607 | TFLOPs: 18.49 | 31: iteration 8560/ 23189 | consumed samples: 2191360 | consumed tokens: 4487905280 | elapsed time per iteration (s): 0.83 | learning rate: 1.476E-04 | global batch size: 256 | lm loss: 2.356898E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.628 | TFLOPs: 18.73 | 31: iteration 8570/ 23189 | consumed samples: 2193920 | consumed tokens: 4493148160 | elapsed time per iteration (s): 0.77 | learning rate: 1.475E-04 | global batch size: 256 | lm loss: 2.360025E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.819 | TFLOPs: 20.13 | 31: iteration 8580/ 23189 | consumed samples: 2196480 | consumed tokens: 4498391040 | elapsed time per iteration (s): 0.73 | learning rate: 1.474E-04 | global batch size: 256 | lm loss: 2.363401E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.460 | TFLOPs: 21.14 | 31: iteration 8590/ 23189 | consumed samples: 2199040 | consumed tokens: 4503633920 | elapsed time per iteration (s): 0.75 | learning rate: 1.473E-04 | global batch size: 256 | lm loss: 2.385981E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.294 | TFLOPs: 20.65 | 31: iteration 8600/ 23189 | consumed samples: 2201600 | consumed tokens: 4508876800 | elapsed time per iteration (s): 0.73 | learning rate: 1.472E-04 | global batch size: 256 | lm loss: 2.370731E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.924 | TFLOPs: 21.35 | 31: iteration 8610/ 23189 | consumed samples: 2204160 | consumed tokens: 4514119680 | elapsed time per iteration (s): 0.77 | learning rate: 1.471E-04 | global batch size: 256 | lm loss: 2.345878E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.441 | TFLOPs: 20.17 | 31: iteration 8620/ 23189 | consumed samples: 2206720 | consumed tokens: 4519362560 | elapsed time per iteration (s): 0.75 | learning rate: 1.469E-04 | global batch size: 256 | lm loss: 2.381266E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.015 | TFLOPs: 20.57 | 31: iteration 8630/ 23189 | consumed samples: 2209280 | consumed tokens: 4524605440 | elapsed time per iteration (s): 0.75 | learning rate: 1.468E-04 | global batch size: 256 | lm loss: 2.337515E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.887 | TFLOPs: 20.74 | 31: iteration 8640/ 23189 | consumed samples: 2211840 | consumed tokens: 4529848320 | elapsed time per iteration (s): 0.77 | learning rate: 1.467E-04 | global batch size: 256 | lm loss: 2.329714E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.947 | TFLOPs: 20.02 | 31: iteration 8650/ 23189 | consumed samples: 2214400 | consumed tokens: 4535091200 | elapsed time per iteration (s): 0.74 | learning rate: 1.466E-04 | global batch size: 256 | lm loss: 2.322767E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.887 | TFLOPs: 20.99 | 31: iteration 8660/ 23189 | consumed samples: 2216960 | consumed tokens: 4540334080 | elapsed time per iteration (s): 0.77 | learning rate: 1.465E-04 | global batch size: 256 | lm loss: 2.355884E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.086 | TFLOPs: 20.15 | 31: iteration 8670/ 23189 | consumed samples: 2219520 | consumed tokens: 4545576960 | elapsed time per iteration (s): 0.73 | learning rate: 1.464E-04 | global batch size: 256 | lm loss: 2.345816E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.683 | TFLOPs: 21.15 | 31: iteration 8680/ 23189 | consumed samples: 2222080 | consumed tokens: 4550819840 | elapsed time per iteration (s): 0.75 | learning rate: 1.463E-04 | global batch size: 256 | lm loss: 2.345367E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.562 | TFLOPs: 20.72 | 31: iteration 8690/ 23189 | consumed samples: 2224640 | consumed tokens: 4556062720 | elapsed time per iteration (s): 0.73 | learning rate: 1.462E-04 | global batch size: 256 | lm loss: 2.333838E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.471 | TFLOPs: 21.14 | 31: iteration 8700/ 23189 | consumed samples: 2227200 | consumed tokens: 4561305600 | elapsed time per iteration (s): 0.72 | learning rate: 1.460E-04 | global batch size: 256 | lm loss: 2.343757E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.369 | TFLOPs: 21.38 | 31: iteration 8710/ 23189 | consumed samples: 2229760 | consumed tokens: 4566548480 | elapsed time per iteration (s): 0.76 | learning rate: 1.459E-04 | global batch size: 256 | lm loss: 2.329840E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.316 | TFLOPs: 20.29 | 31: iteration 8720/ 23189 | consumed samples: 2232320 | consumed tokens: 4571791360 | elapsed time per iteration (s): 0.74 | learning rate: 1.458E-04 | global batch size: 256 | lm loss: 2.330564E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.684 | TFLOPs: 20.85 | 31: iteration 8730/ 23189 | consumed samples: 2234880 | consumed tokens: 4577034240 | elapsed time per iteration (s): 0.75 | learning rate: 1.457E-04 | global batch size: 256 | lm loss: 2.371079E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.038 | TFLOPs: 20.69 | 31: iteration 8740/ 23189 | consumed samples: 2237440 | consumed tokens: 4582277120 | elapsed time per iteration (s): 0.77 | learning rate: 1.456E-04 | global batch size: 256 | lm loss: 2.317358E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.822 | TFLOPs: 20.01 | 31: iteration 8750/ 23189 | consumed samples: 2240000 | consumed tokens: 4587520000 | elapsed time per iteration (s): 0.78 | learning rate: 1.455E-04 | global batch size: 256 | lm loss: 2.358892E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.796 | TFLOPs: 19.83 | 31: iteration 8760/ 23189 | consumed samples: 2242560 | consumed tokens: 4592762880 | elapsed time per iteration (s): 0.72 | learning rate: 1.454E-04 | global batch size: 256 | lm loss: 2.347741E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.476 | TFLOPs: 21.44 | 31: iteration 8770/ 23189 | consumed samples: 2245120 | consumed tokens: 4598005760 | elapsed time per iteration (s): 0.73 | learning rate: 1.452E-04 | global batch size: 256 | lm loss: 2.319572E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.490 | TFLOPs: 21.20 | 31: iteration 8780/ 23189 | consumed samples: 2247680 | consumed tokens: 4603248640 | elapsed time per iteration (s): 0.78 | learning rate: 1.451E-04 | global batch size: 256 | lm loss: 2.337448E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.919 | TFLOPs: 19.84 | 31: iteration 8790/ 23189 | consumed samples: 2250240 | consumed tokens: 4608491520 | elapsed time per iteration (s): 0.73 | learning rate: 1.450E-04 | global batch size: 256 | lm loss: 2.328016E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.266 | TFLOPs: 21.25 | 31: iteration 8800/ 23189 | consumed samples: 2252800 | consumed tokens: 4613734400 | elapsed time per iteration (s): 0.77 | learning rate: 1.449E-04 | global batch size: 256 | lm loss: 2.351024E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.963 | TFLOPs: 20.14 | 31: iteration 8810/ 23189 | consumed samples: 2255360 | consumed tokens: 4618977280 | elapsed time per iteration (s): 0.72 | learning rate: 1.448E-04 | global batch size: 256 | lm loss: 2.331146E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.470 | TFLOPs: 21.63 | 31: iteration 8820/ 23189 | consumed samples: 2257920 | consumed tokens: 4624220160 | elapsed time per iteration (s): 0.78 | learning rate: 1.447E-04 | global batch size: 256 | lm loss: 2.349336E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.541 | TFLOPs: 19.94 | 31: iteration 8830/ 23189 | consumed samples: 2260480 | consumed tokens: 4629463040 | elapsed time per iteration (s): 0.75 | learning rate: 1.446E-04 | global batch size: 256 | lm loss: 2.350257E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.172 | TFLOPs: 20.70 | 31: iteration 8840/ 23189 | consumed samples: 2263040 | consumed tokens: 4634705920 | elapsed time per iteration (s): 0.75 | learning rate: 1.445E-04 | global batch size: 256 | lm loss: 2.355664E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.814 | TFLOPs: 20.56 | 31: iteration 8850/ 23189 | consumed samples: 2265600 | consumed tokens: 4639948800 | elapsed time per iteration (s): 0.75 | learning rate: 1.443E-04 | global batch size: 256 | lm loss: 2.337293E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.375 | TFLOPs: 20.53 | 31: iteration 8860/ 23189 | consumed samples: 2268160 | consumed tokens: 4645191680 | elapsed time per iteration (s): 0.77 | learning rate: 1.442E-04 | global batch size: 256 | lm loss: 2.347532E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.877 | TFLOPs: 20.02 | 31: iteration 8870/ 23189 | consumed samples: 2270720 | consumed tokens: 4650434560 | elapsed time per iteration (s): 0.79 | learning rate: 1.441E-04 | global batch size: 256 | lm loss: 2.325932E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.134 | TFLOPs: 19.55 | 31: iteration 8880/ 23189 | consumed samples: 2273280 | consumed tokens: 4655677440 | elapsed time per iteration (s): 0.76 | learning rate: 1.440E-04 | global batch size: 256 | lm loss: 2.338898E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.102 | TFLOPs: 20.45 | 31: iteration 8890/ 23189 | consumed samples: 2275840 | consumed tokens: 4660920320 | elapsed time per iteration (s): 0.77 | learning rate: 1.439E-04 | global batch size: 256 | lm loss: 2.317078E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.411 | TFLOPs: 20.23 | 31: iteration 8900/ 23189 | consumed samples: 2278400 | consumed tokens: 4666163200 | elapsed time per iteration (s): 0.82 | learning rate: 1.438E-04 | global batch size: 256 | lm loss: 2.347984E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.638 | TFLOPs: 18.97 | 31: iteration 8910/ 23189 | consumed samples: 2280960 | consumed tokens: 4671406080 | elapsed time per iteration (s): 0.79 | learning rate: 1.437E-04 | global batch size: 256 | lm loss: 2.338970E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.473 | TFLOPs: 19.57 | 31: iteration 8920/ 23189 | consumed samples: 2283520 | consumed tokens: 4676648960 | elapsed time per iteration (s): 0.82 | learning rate: 1.435E-04 | global batch size: 256 | lm loss: 2.320784E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.935 | TFLOPs: 18.99 | 31: iteration 8930/ 23189 | consumed samples: 2286080 | consumed tokens: 4681891840 | elapsed time per iteration (s): 0.77 | learning rate: 1.434E-04 | global batch size: 256 | lm loss: 2.328871E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.795 | TFLOPs: 20.01 | 31: iteration 8940/ 23189 | consumed samples: 2288640 | consumed tokens: 4687134720 | elapsed time per iteration (s): 0.80 | learning rate: 1.433E-04 | global batch size: 256 | lm loss: 2.327299E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.032 | TFLOPs: 19.42 | 31: iteration 8950/ 23189 | consumed samples: 2291200 | consumed tokens: 4692377600 | elapsed time per iteration (s): 0.83 | learning rate: 1.432E-04 | global batch size: 256 | lm loss: 2.337773E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.849 | TFLOPs: 18.68 | 31: iteration 8960/ 23189 | consumed samples: 2293760 | consumed tokens: 4697620480 | elapsed time per iteration (s): 0.78 | learning rate: 1.431E-04 | global batch size: 256 | lm loss: 2.329701E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.173 | TFLOPs: 19.79 | 31: iteration 8970/ 23189 | consumed samples: 2296320 | consumed tokens: 4702863360 | elapsed time per iteration (s): 0.78 | learning rate: 1.430E-04 | global batch size: 256 | lm loss: 2.336563E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.358 | TFLOPs: 19.74 | 31: iteration 8980/ 23189 | consumed samples: 2298880 | consumed tokens: 4708106240 | elapsed time per iteration (s): 0.78 | learning rate: 1.429E-04 | global batch size: 256 | lm loss: 2.318636E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.128 | TFLOPs: 19.97 | 31: iteration 8990/ 23189 | consumed samples: 2301440 | consumed tokens: 4713349120 | elapsed time per iteration (s): 0.75 | learning rate: 1.427E-04 | global batch size: 256 | lm loss: 2.325054E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.972 | TFLOPs: 20.69 | 31: iteration 9000/ 23189 | consumed samples: 2304000 | consumed tokens: 4718592000 | elapsed time per iteration (s): 0.78 | learning rate: 1.426E-04 | global batch size: 256 | lm loss: 2.332784E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.749 | TFLOPs: 19.83 | 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 9000 | lm loss value: 2.232618E+00 | lm loss PPL: 9.324241E+00 | 31: ------------------------------------------------------------------------------------------ 31: iteration 9010/ 23189 | consumed samples: 2306560 | consumed tokens: 4723834880 | elapsed time per iteration (s): 0.86 | learning rate: 1.425E-04 | global batch size: 256 | lm loss: 2.350750E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 297.647 | TFLOPs: 18.01 | 31: iteration 9020/ 23189 | consumed samples: 2309120 | consumed tokens: 4729077760 | elapsed time per iteration (s): 0.78 | learning rate: 1.424E-04 | global batch size: 256 | lm loss: 2.323992E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.912 | TFLOPs: 19.78 | 31: iteration 9030/ 23189 | consumed samples: 2311680 | consumed tokens: 4734320640 | elapsed time per iteration (s): 0.74 | learning rate: 1.423E-04 | global batch size: 256 | lm loss: 2.354135E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.929 | TFLOPs: 21.05 | 31: iteration 9040/ 23189 | consumed samples: 2314240 | consumed tokens: 4739563520 | elapsed time per iteration (s): 0.76 | learning rate: 1.422E-04 | global batch size: 256 | lm loss: 2.344180E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.088 | TFLOPs: 20.27 | 31: iteration 9050/ 23189 | consumed samples: 2316800 | consumed tokens: 4744806400 | elapsed time per iteration (s): 0.71 | learning rate: 1.420E-04 | global batch size: 256 | lm loss: 2.359489E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.922 | TFLOPs: 21.90 | 31: iteration 9060/ 23189 | consumed samples: 2319360 | consumed tokens: 4750049280 | elapsed time per iteration (s): 0.76 | learning rate: 1.419E-04 | global batch size: 256 | lm loss: 2.354561E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.406 | TFLOPs: 20.35 | 31: iteration 9070/ 23189 | consumed samples: 2321920 | consumed tokens: 4755292160 | elapsed time per iteration (s): 0.83 | learning rate: 1.418E-04 | global batch size: 256 | lm loss: 2.339124E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.063 | TFLOPs: 18.76 | 31: iteration 9080/ 23189 | consumed samples: 2324480 | consumed tokens: 4760535040 | elapsed time per iteration (s): 0.76 | learning rate: 1.417E-04 | global batch size: 256 | lm loss: 2.365119E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.684 | TFLOPs: 20.25 | 31: iteration 9090/ 23189 | consumed samples: 2327040 | consumed tokens: 4765777920 | elapsed time per iteration (s): 0.74 | learning rate: 1.416E-04 | global batch size: 256 | lm loss: 2.324341E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.080 | TFLOPs: 20.82 | 31: iteration 9100/ 23189 | consumed samples: 2329600 | consumed tokens: 4771020800 | elapsed time per iteration (s): 0.75 | learning rate: 1.415E-04 | global batch size: 256 | lm loss: 2.350199E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.568 | TFLOPs: 20.60 | 31: iteration 9110/ 23189 | consumed samples: 2332160 | consumed tokens: 4776263680 | elapsed time per iteration (s): 0.75 | learning rate: 1.414E-04 | global batch size: 256 | lm loss: 2.317559E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.672 | TFLOPs: 20.61 | 31: iteration 9120/ 23189 | consumed samples: 2334720 | consumed tokens: 4781506560 | elapsed time per iteration (s): 0.76 | learning rate: 1.412E-04 | global batch size: 256 | lm loss: 2.342990E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.055 | TFLOPs: 20.45 | 31: iteration 9130/ 23189 | consumed samples: 2337280 | consumed tokens: 4786749440 | elapsed time per iteration (s): 0.77 | learning rate: 1.411E-04 | global batch size: 256 | lm loss: 2.338283E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.806 | TFLOPs: 20.07 | 31: iteration 9140/ 23189 | consumed samples: 2339840 | consumed tokens: 4791992320 | elapsed time per iteration (s): 0.78 | learning rate: 1.410E-04 | global batch size: 256 | lm loss: 2.327744E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.824 | TFLOPs: 19.89 | 31: iteration 9150/ 23189 | consumed samples: 2342400 | consumed tokens: 4797235200 | elapsed time per iteration (s): 0.78 | learning rate: 1.409E-04 | global batch size: 256 | lm loss: 2.343268E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.048 | TFLOPs: 19.97 | 31: iteration 9160/ 23189 | consumed samples: 2344960 | consumed tokens: 4802478080 | elapsed time per iteration (s): 0.78 | learning rate: 1.408E-04 | global batch size: 256 | lm loss: 2.350378E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.591 | TFLOPs: 19.76 | 31: iteration 9170/ 23189 | consumed samples: 2347520 | consumed tokens: 4807720960 | elapsed time per iteration (s): 0.81 | learning rate: 1.407E-04 | global batch size: 256 | lm loss: 2.387315E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.230 | TFLOPs: 19.19 | 31: iteration 9180/ 23189 | consumed samples: 2350080 | consumed tokens: 4812963840 | elapsed time per iteration (s): 0.80 | learning rate: 1.405E-04 | global batch size: 256 | lm loss: 2.347186E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.884 | TFLOPs: 19.29 | 31: iteration 9190/ 23189 | consumed samples: 2352640 | consumed tokens: 4818206720 | elapsed time per iteration (s): 0.77 | learning rate: 1.404E-04 | global batch size: 256 | lm loss: 2.350274E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.985 | TFLOPs: 20.21 | 31: iteration 9200/ 23189 | consumed samples: 2355200 | consumed tokens: 4823449600 | elapsed time per iteration (s): 0.78 | learning rate: 1.403E-04 | global batch size: 256 | lm loss: 2.334541E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.286 | TFLOPs: 19.86 | 31: iteration 9210/ 23189 | consumed samples: 2357760 | consumed tokens: 4828692480 | elapsed time per iteration (s): 0.77 | learning rate: 1.402E-04 | global batch size: 256 | lm loss: 2.328905E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.598 | TFLOPs: 20.00 | 31: iteration 9220/ 23189 | consumed samples: 2360320 | consumed tokens: 4833935360 | elapsed time per iteration (s): 0.78 | learning rate: 1.401E-04 | global batch size: 256 | lm loss: 2.286291E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.153 | TFLOPs: 19.79 | 31: iteration 9230/ 23189 | consumed samples: 2362880 | consumed tokens: 4839178240 | elapsed time per iteration (s): 0.77 | learning rate: 1.400E-04 | global batch size: 256 | lm loss: 2.347679E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.746 | TFLOPs: 20.07 | 31: iteration 9240/ 23189 | consumed samples: 2365440 | consumed tokens: 4844421120 | elapsed time per iteration (s): 0.81 | learning rate: 1.399E-04 | global batch size: 256 | lm loss: 2.332281E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.638 | TFLOPs: 19.22 | 31: iteration 9250/ 23189 | consumed samples: 2368000 | consumed tokens: 4849664000 | elapsed time per iteration (s): 0.71 | learning rate: 1.397E-04 | global batch size: 256 | lm loss: 2.328457E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.137 | TFLOPs: 21.79 | 31: iteration 9260/ 23189 | consumed samples: 2370560 | consumed tokens: 4854906880 | elapsed time per iteration (s): 0.74 | learning rate: 1.396E-04 | global batch size: 256 | lm loss: 2.358915E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.832 | TFLOPs: 21.04 | 31: iteration 9270/ 23189 | consumed samples: 2373120 | consumed tokens: 4860149760 | elapsed time per iteration (s): 0.76 | learning rate: 1.395E-04 | global batch size: 256 | lm loss: 2.345810E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.027 | TFLOPs: 20.27 | 31: iteration 9280/ 23189 | consumed samples: 2375680 | consumed tokens: 4865392640 | elapsed time per iteration (s): 0.71 | learning rate: 1.394E-04 | global batch size: 256 | lm loss: 2.347618E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.405 | TFLOPs: 21.80 | 31: iteration 9290/ 23189 | consumed samples: 2378240 | consumed tokens: 4870635520 | elapsed time per iteration (s): 0.76 | learning rate: 1.393E-04 | global batch size: 256 | lm loss: 2.332336E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.512 | TFLOPs: 20.42 | 31: iteration 9300/ 23189 | consumed samples: 2380800 | consumed tokens: 4875878400 | elapsed time per iteration (s): 0.77 | learning rate: 1.392E-04 | global batch size: 256 | lm loss: 2.316876E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.783 | TFLOPs: 20.13 | 31: iteration 9310/ 23189 | consumed samples: 2383360 | consumed tokens: 4881121280 | elapsed time per iteration (s): 0.73 | learning rate: 1.390E-04 | global batch size: 256 | lm loss: 2.334038E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.122 | TFLOPs: 21.12 | 31: iteration 9320/ 23189 | consumed samples: 2385920 | consumed tokens: 4886364160 | elapsed time per iteration (s): 0.73 | learning rate: 1.389E-04 | global batch size: 256 | lm loss: 2.331086E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.541 | TFLOPs: 21.27 | 31: iteration 9330/ 23189 | consumed samples: 2388480 | consumed tokens: 4891607040 | elapsed time per iteration (s): 0.75 | learning rate: 1.388E-04 | global batch size: 256 | lm loss: 2.359115E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.453 | TFLOPs: 20.54 | 31: iteration 9340/ 23189 | consumed samples: 2391040 | consumed tokens: 4896849920 | elapsed time per iteration (s): 0.77 | learning rate: 1.387E-04 | global batch size: 256 | lm loss: 2.342453E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.506 | TFLOPs: 19.99 | 31: iteration 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348.031 | TFLOPs: 21.05 | 31: iteration 9380/ 23189 | consumed samples: 2401280 | consumed tokens: 4917821440 | elapsed time per iteration (s): 0.77 | learning rate: 1.382E-04 | global batch size: 256 | lm loss: 2.341943E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.647 | TFLOPs: 20.18 | 31: iteration 9390/ 23189 | consumed samples: 2403840 | consumed tokens: 4923064320 | elapsed time per iteration (s): 0.77 | learning rate: 1.381E-04 | global batch size: 256 | lm loss: 2.309635E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.454 | TFLOPs: 20.05 | 31: iteration 9400/ 23189 | consumed samples: 2406400 | consumed tokens: 4928307200 | elapsed time per iteration (s): 0.76 | learning rate: 1.380E-04 | global batch size: 256 | lm loss: 2.336243E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.444 | TFLOPs: 20.29 | 31: iteration 9410/ 23189 | consumed samples: 2408960 | consumed tokens: 4933550080 | elapsed time per iteration (s): 0.78 | learning rate: 1.379E-04 | global batch size: 256 | lm loss: 2.291011E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.796 | TFLOPs: 19.83 | 31: iteration 9420/ 23189 | consumed samples: 2411520 | consumed tokens: 4938792960 | elapsed time per iteration (s): 0.79 | learning rate: 1.378E-04 | global batch size: 256 | lm loss: 2.348781E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.286 | TFLOPs: 19.62 | 31: iteration 9430/ 23189 | consumed samples: 2414080 | consumed tokens: 4944035840 | elapsed time per iteration (s): 0.78 | learning rate: 1.376E-04 | global batch size: 256 | lm loss: 2.315631E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.842 | TFLOPs: 19.77 | 31: iteration 9440/ 23189 | consumed samples: 2416640 | consumed tokens: 4949278720 | elapsed time per iteration (s): 0.82 | learning rate: 1.375E-04 | global batch size: 256 | lm loss: 2.340282E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.848 | TFLOPs: 18.93 | 31: iteration 9450/ 23189 | consumed samples: 2419200 | consumed tokens: 4954521600 | elapsed time per iteration (s): 0.78 | learning rate: 1.374E-04 | global batch size: 256 | lm loss: 2.373347E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.846 | TFLOPs: 19.77 | 31: iteration 9460/ 23189 | consumed samples: 2421760 | consumed tokens: 4959764480 | elapsed time per iteration (s): 0.82 | learning rate: 1.373E-04 | global batch size: 256 | lm loss: 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1.369E-04 | global batch size: 256 | lm loss: 2.306174E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.236 | TFLOPs: 18.89 | 31: iteration 9500/ 23189 | consumed samples: 2432000 | consumed tokens: 4980736000 | elapsed time per iteration (s): 0.85 | learning rate: 1.368E-04 | global batch size: 256 | lm loss: 2.335405E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 301.942 | TFLOPs: 18.27 | 31: iteration 9510/ 23189 | consumed samples: 2434560 | consumed tokens: 4985978880 | elapsed time per iteration (s): 0.82 | learning rate: 1.367E-04 | global batch size: 256 | lm loss: 2.331398E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.430 | TFLOPs: 18.84 | 31: iteration 9520/ 23189 | consumed samples: 2437120 | consumed tokens: 4991221760 | elapsed time 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2.382003E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.654 | TFLOPs: 18.98 | 31: iteration 9930/ 23189 | consumed samples: 2542080 | consumed tokens: 5206179840 | elapsed time per iteration (s): 0.78 | learning rate: 1.317E-04 | global batch size: 256 | lm loss: 2.346305E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.958 | TFLOPs: 19.78 | 31: iteration 9940/ 23189 | consumed samples: 2544640 | consumed tokens: 5211422720 | elapsed time per iteration (s): 0.73 | learning rate: 1.316E-04 | global batch size: 256 | lm loss: 2.318496E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.688 | TFLOPs: 21.09 | 31: iteration 9950/ 23189 | consumed samples: 2547200 | consumed tokens: 5216665600 | elapsed time per iteration (s): 0.76 | learning rate: 1.315E-04 | global batch size: 256 | lm loss: 2.313161E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.630 | TFLOPs: 20.43 | 31: iteration 9960/ 23189 | consumed samples: 2549760 | consumed tokens: 5221908480 | elapsed time per iteration (s): 0.76 | learning rate: 1.314E-04 | global batch size: 256 | lm loss: 2.338845E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.318 | TFLOPs: 20.47 | 31: iteration 9970/ 23189 | consumed samples: 2552320 | consumed tokens: 5227151360 | elapsed time per iteration (s): 0.73 | learning rate: 1.312E-04 | global batch size: 256 | lm loss: 2.298088E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.916 | TFLOPs: 21.29 | 31: iteration 9980/ 23189 | consumed samples: 2554880 | consumed tokens: 5232394240 | elapsed time per iteration (s): 0.72 | learning rate: 1.311E-04 | global batch size: 256 | lm loss: 2.345688E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.457 | TFLOPs: 21.50 | 31: iteration 9990/ 23189 | consumed samples: 2557440 | consumed tokens: 5237637120 | elapsed time per iteration (s): 0.78 | learning rate: 1.310E-04 | global batch size: 256 | lm loss: 2.343787E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.951 | TFLOPs: 19.90 | 0: [2022-11-28 20:02:30,483] [INFO] [logging.py:68:log_dist] [Rank 0] step=10000, skipped=0, lr=[0.00013087491371620573, 0.00013087491371620573, 0.00013087491371620573], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 10000/ 23189 | consumed samples: 2560000 | consumed tokens: 5242880000 | elapsed time per iteration (s): 0.72 | learning rate: 1.309E-04 | global batch size: 256 | lm loss: 2.349558E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.752 | TFLOPs: 21.58 | 0: steps: 10000 loss: 2.3155 iter time (s): 0.780 samples/sec: 328.248 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 10000 | lm loss value: 2.261412E+00 | lm loss PPL: 9.596634E+00 | 31: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 10000 to checkpoints_1b112b 0: [2022-11-28 20:02:30,797] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step10000 is begin to save! 0: [2022-11-28 20:02:31,191] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_1b112b/global_step10000/layer_01-model_00-model_states.pt... 0: [2022-11-28 20:02:31,555] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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[torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step10000/bf16_zero_pp_rank_97_mp_rank_00_optim_states.pt. 29: [2022-11-28 20:02:33,955] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step10000/bf16_zero_pp_rank_236_mp_rank_00_optim_states.pt. 20: [2022-11-28 20:02:33,955] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 25: [2022-11-28 20:02:33,955] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 25: [2022-11-28 20:02:33,955] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step10000/bf16_zero_pp_rank_206_mp_rank_00_optim_states.pt. 12: [2022-11-28 20:02:33,955] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step10000/bf16_zero_pp_rank_97_mp_rank_00_optim_states.pt 29: [2022-11-28 20:02:33,955] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step10000/bf16_zero_pp_rank_236_mp_rank_00_optim_states.pt 25: [2022-11-28 20:02:33,955] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step10000/bf16_zero_pp_rank_206_mp_rank_00_optim_states.pt 12: [2022-11-28 20:02:33,955] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 25: [2022-11-28 20:02:33,955] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 29: [2022-11-28 20:02:33,955] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 10: [2022-11-28 20:02:33,955] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step10000/bf16_zero_pp_rank_83_mp_rank_00_optim_states.pt. 10: [2022-11-28 20:02:33,956] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 18: [2022-11-28 20:02:33,956] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 6: [2022-11-28 20:02:33,956] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step10000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt. 6: [2022-11-28 20:02:33,956] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step10000/bf16_zero_pp_rank_48_mp_rank_00_optim_states.pt 6: [2022-11-28 20:02:33,956] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 15: [2022-11-28 20:02:33,958] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step10000/bf16_zero_pp_rank_124_mp_rank_00_optim_states.pt. 15: [2022-11-28 20:02:33,958] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step10000/bf16_zero_pp_rank_124_mp_rank_00_optim_states.pt 15: [2022-11-28 20:02:33,958] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 31: [2022-11-28 20:02:33,958] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step10000/bf16_zero_pp_rank_249_mp_rank_00_optim_states.pt. 31: [2022-11-28 20:02:33,958] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step10000/bf16_zero_pp_rank_249_mp_rank_00_optim_states.pt 31: [2022-11-28 20:02:33,958] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 13: [2022-11-28 20:02:33,961] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step10000/bf16_zero_pp_rank_105_mp_rank_00_optim_states.pt. 13: [2022-11-28 20:02:33,961] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step10000/bf16_zero_pp_rank_105_mp_rank_00_optim_states.pt 13: [2022-11-28 20:02:33,961] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 30: [2022-11-28 20:02:33,961] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step10000/bf16_zero_pp_rank_246_mp_rank_00_optim_states.pt. 30: [2022-11-28 20:02:33,961] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step10000/bf16_zero_pp_rank_246_mp_rank_00_optim_states.pt 30: [2022-11-28 20:02:33,961] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: successfully saved checkpoint at iteration 10000 to checkpoints_1b112b 31: time (ms) | save-checkpoint: 3227.54 31: iteration 10010/ 23189 | consumed samples: 2562560 | consumed tokens: 5248122880 | elapsed time per iteration (s): 1.04 | learning rate: 1.308E-04 | global batch size: 256 | lm loss: 2.318358E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 245.287 | TFLOPs: 14.84 | 31: iteration 10020/ 23189 | consumed samples: 2565120 | consumed tokens: 5253365760 | elapsed time per iteration (s): 0.72 | learning rate: 1.306E-04 | global batch size: 256 | lm loss: 2.343633E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.625 | TFLOPs: 21.45 | 31: iteration 10030/ 23189 | consumed samples: 2567680 | consumed tokens: 5258608640 | elapsed time per iteration (s): 0.71 | learning rate: 1.305E-04 | global batch size: 256 | lm loss: 2.344516E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.802 | TFLOPs: 21.95 | 31: iteration 10040/ 23189 | consumed samples: 2570240 | consumed tokens: 5263851520 | elapsed time per iteration (s): 0.74 | learning rate: 1.304E-04 | global batch size: 256 | lm loss: 2.342648E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.215 | TFLOPs: 20.88 | 31: iteration 10050/ 23189 | consumed samples: 2572800 | consumed tokens: 5269094400 | elapsed time per iteration (s): 0.74 | learning rate: 1.303E-04 | global batch size: 256 | lm loss: 2.320572E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.694 | TFLOPs: 21.03 | 31: iteration 10060/ 23189 | consumed samples: 2575360 | consumed tokens: 5274337280 | elapsed time per iteration (s): 0.75 | learning rate: 1.302E-04 | global batch size: 256 | lm loss: 2.324673E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.154 | TFLOPs: 20.52 | 31: iteration 10070/ 23189 | consumed samples: 2577920 | consumed tokens: 5279580160 | elapsed time per iteration (s): 0.73 | learning rate: 1.300E-04 | global batch size: 256 | lm loss: 2.324904E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.826 | TFLOPs: 21.10 | 31: iteration 10080/ 23189 | consumed samples: 2580480 | consumed tokens: 5284823040 | elapsed time per iteration (s): 0.81 | learning rate: 1.299E-04 | global batch size: 256 | lm loss: 2.289332E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.725 | TFLOPs: 19.22 | 31: iteration 10090/ 23189 | consumed samples: 2583040 | consumed tokens: 5290065920 | elapsed time per iteration (s): 0.79 | learning rate: 1.298E-04 | global batch size: 256 | lm loss: 2.301303E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.588 | TFLOPs: 19.58 | 31: iteration 10100/ 23189 | consumed samples: 2585600 | consumed tokens: 5295308800 | elapsed time per iteration (s): 0.89 | learning rate: 1.297E-04 | global batch size: 256 | lm loss: 2.330385E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 289.102 | TFLOPs: 17.49 | 31: iteration 10110/ 23189 | consumed samples: 2588160 | consumed tokens: 5300551680 | elapsed time per iteration (s): 0.83 | learning rate: 1.296E-04 | global batch size: 256 | lm loss: 2.304638E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 306.739 | TFLOPs: 18.56 | 31: iteration 10120/ 23189 | consumed samples: 2590720 | consumed tokens: 5305794560 | elapsed time per iteration (s): 0.79 | learning rate: 1.294E-04 | global batch size: 256 | lm loss: 2.291796E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.295 | TFLOPs: 19.62 | 31: iteration 10130/ 23189 | consumed samples: 2593280 | consumed tokens: 5311037440 | elapsed time per iteration (s): 0.81 | learning rate: 1.293E-04 | global batch size: 256 | lm loss: 2.315545E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.541 | TFLOPs: 19.21 | 31: iteration 10140/ 23189 | consumed samples: 2595840 | consumed tokens: 5316280320 | elapsed time per iteration (s): 0.78 | learning rate: 1.292E-04 | global batch size: 256 | lm loss: 2.328484E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.241 | TFLOPs: 19.74 | 31: iteration 10150/ 23189 | consumed samples: 2598400 | consumed tokens: 5321523200 | elapsed time per iteration (s): 0.80 | learning rate: 1.291E-04 | global batch size: 256 | lm loss: 2.295093E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.475 | TFLOPs: 19.45 | 31: iteration 10160/ 23189 | consumed samples: 2600960 | consumed tokens: 5326766080 | elapsed time per iteration (s): 0.79 | learning rate: 1.290E-04 | global batch size: 256 | lm loss: 2.315984E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.872 | TFLOPs: 19.59 | 31: iteration 10170/ 23189 | consumed samples: 2603520 | consumed tokens: 5332008960 | elapsed time per iteration (s): 0.82 | learning rate: 1.288E-04 | global batch size: 256 | lm loss: 2.337432E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.087 | TFLOPs: 18.94 | 31: iteration 10180/ 23189 | consumed samples: 2606080 | consumed tokens: 5337251840 | elapsed time per iteration (s): 0.86 | learning rate: 1.287E-04 | global batch size: 256 | lm loss: 2.309269E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 299.133 | TFLOPs: 18.10 | 31: iteration 10190/ 23189 | consumed samples: 2608640 | consumed tokens: 5342494720 | elapsed time per iteration (s): 0.83 | learning rate: 1.286E-04 | global batch size: 256 | lm loss: 2.322768E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.514 | TFLOPs: 18.60 | 31: iteration 10200/ 23189 | consumed samples: 2611200 | consumed tokens: 5347737600 | elapsed time per iteration (s): 0.79 | learning rate: 1.285E-04 | global batch size: 256 | lm loss: 2.309570E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.487 | TFLOPs: 19.51 | 31: iteration 10210/ 23189 | consumed samples: 2613760 | consumed tokens: 5352980480 | elapsed time per iteration (s): 0.78 | learning rate: 1.284E-04 | global batch size: 256 | lm loss: 2.312599E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.666 | TFLOPs: 19.76 | 31: iteration 10220/ 23189 | consumed samples: 2616320 | consumed tokens: 5358223360 | elapsed time per iteration (s): 0.78 | learning rate: 1.282E-04 | global batch size: 256 | lm loss: 2.292219E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.861 | TFLOPs: 19.83 | 31: iteration 10230/ 23189 | consumed samples: 2618880 | consumed tokens: 5363466240 | elapsed time per iteration (s): 0.79 | learning rate: 1.281E-04 | global batch size: 256 | lm loss: 2.308195E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.670 | TFLOPs: 19.52 | 31: iteration 10240/ 23189 | consumed samples: 2621440 | consumed tokens: 5368709120 | elapsed time per iteration (s): 0.81 | learning rate: 1.280E-04 | global batch size: 256 | lm loss: 2.326126E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.662 | TFLOPs: 19.16 | 31: iteration 10250/ 23189 | consumed samples: 2624000 | consumed tokens: 5373952000 | elapsed time per iteration (s): 0.76 | learning rate: 1.279E-04 | global batch size: 256 | lm loss: 2.317344E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.799 | TFLOPs: 20.38 | 31: iteration 10260/ 23189 | consumed samples: 2626560 | consumed tokens: 5379194880 | elapsed time per iteration (s): 0.78 | learning rate: 1.277E-04 | global batch size: 256 | lm loss: 2.290230E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.214 | TFLOPs: 19.74 | 31: iteration 10270/ 23189 | consumed samples: 2629120 | consumed tokens: 5384437760 | elapsed time per iteration (s): 0.77 | learning rate: 1.276E-04 | global batch size: 256 | lm loss: 2.312770E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.551 | TFLOPs: 20.12 | 31: iteration 10280/ 23189 | consumed samples: 2631680 | consumed tokens: 5389680640 | elapsed time per iteration (s): 0.75 | learning rate: 1.275E-04 | global batch size: 256 | lm loss: 2.320576E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.159 | TFLOPs: 20.58 | 31: iteration 10290/ 23189 | consumed samples: 2634240 | consumed tokens: 5394923520 | elapsed time per iteration (s): 0.75 | learning rate: 1.274E-04 | global batch size: 256 | lm loss: 2.334363E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.768 | TFLOPs: 20.74 | 31: iteration 10300/ 23189 | consumed samples: 2636800 | consumed tokens: 5400166400 | elapsed time per iteration (s): 0.78 | learning rate: 1.273E-04 | global batch size: 256 | lm loss: 2.288497E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.124 | TFLOPs: 19.85 | 31: iteration 10310/ 23189 | consumed samples: 2639360 | consumed tokens: 5405409280 | elapsed time per iteration (s): 0.81 | learning rate: 1.271E-04 | global batch size: 256 | lm loss: 2.318268E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.006 | TFLOPs: 19.18 | 31: iteration 10320/ 23189 | consumed samples: 2641920 | consumed tokens: 5410652160 | elapsed time per iteration (s): 0.76 | learning rate: 1.270E-04 | global batch size: 256 | lm loss: 2.337645E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.654 | TFLOPs: 20.31 | 31: iteration 10330/ 23189 | consumed samples: 2644480 | consumed tokens: 5415895040 | elapsed time per iteration (s): 0.83 | learning rate: 1.269E-04 | global batch size: 256 | lm loss: 2.296472E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.387 | TFLOPs: 18.72 | 31: iteration 10340/ 23189 | consumed samples: 2647040 | consumed tokens: 5421137920 | elapsed time per iteration (s): 0.83 | learning rate: 1.268E-04 | global batch size: 256 | lm loss: 2.338465E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.514 | TFLOPs: 18.66 | 31: iteration 10350/ 23189 | consumed samples: 2649600 | consumed tokens: 5426380800 | elapsed time per iteration (s): 0.78 | learning rate: 1.267E-04 | global batch size: 256 | lm loss: 2.311170E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.382 | 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iterations: 0 | samples per second: 311.807 | TFLOPs: 18.86 | 31: iteration 10390/ 23189 | consumed samples: 2659840 | consumed tokens: 5447352320 | elapsed time per iteration (s): 0.81 | learning rate: 1.262E-04 | global batch size: 256 | lm loss: 2.295065E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.954 | TFLOPs: 19.17 | 31: iteration 10400/ 23189 | consumed samples: 2662400 | consumed tokens: 5452595200 | elapsed time per iteration (s): 0.82 | learning rate: 1.261E-04 | global batch size: 256 | lm loss: 2.306939E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.736 | TFLOPs: 18.86 | 31: iteration 10410/ 23189 | consumed samples: 2664960 | consumed tokens: 5457838080 | elapsed time per iteration (s): 0.79 | learning rate: 1.259E-04 | global batch size: 256 | lm loss: 2.299103E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.976 | TFLOPs: 19.60 | 31: iteration 10420/ 23189 | consumed samples: 2667520 | consumed tokens: 5463080960 | elapsed time per iteration (s): 0.78 | learning rate: 1.258E-04 | global batch size: 256 | lm loss: 2.321646E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.606 | TFLOPs: 19.88 | 31: iteration 10430/ 23189 | consumed samples: 2670080 | consumed tokens: 5468323840 | elapsed time per iteration (s): 0.75 | learning rate: 1.257E-04 | global batch size: 256 | lm loss: 2.317481E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.703 | TFLOPs: 20.55 | 31: iteration 10440/ 23189 | consumed samples: 2672640 | consumed tokens: 5473566720 | elapsed time per iteration (s): 0.81 | learning rate: 1.256E-04 | global batch size: 256 | lm loss: 2.307473E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.376 | TFLOPs: 19.08 | 31: iteration 10450/ 23189 | consumed samples: 2675200 | consumed tokens: 5478809600 | elapsed time per iteration (s): 0.81 | learning rate: 1.254E-04 | global batch size: 256 | lm loss: 2.294613E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.472 | TFLOPs: 19.21 | 31: iteration 10460/ 23189 | consumed samples: 2677760 | consumed tokens: 5484052480 | elapsed time per iteration (s): 0.79 | learning rate: 1.253E-04 | global batch size: 256 | lm loss: 2.301857E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.413 | TFLOPs: 19.69 | 31: iteration 10470/ 23189 | consumed samples: 2680320 | consumed tokens: 5489295360 | elapsed time per iteration (s): 0.78 | learning rate: 1.252E-04 | global batch size: 256 | lm loss: 2.305169E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.656 | TFLOPs: 19.88 | 31: iteration 10480/ 23189 | consumed samples: 2682880 | consumed tokens: 5494538240 | elapsed time per iteration (s): 0.76 | learning rate: 1.251E-04 | global batch size: 256 | lm loss: 2.302027E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.059 | TFLOPs: 20.33 | 31: iteration 10490/ 23189 | consumed samples: 2685440 | consumed tokens: 5499781120 | elapsed time per iteration (s): 0.72 | learning rate: 1.250E-04 | global batch size: 256 | lm loss: 2.297542E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.241 | TFLOPs: 21.37 | 31: iteration 10500/ 23189 | consumed samples: 2688000 | consumed tokens: 5505024000 | elapsed time per iteration (s): 0.76 | learning rate: 1.248E-04 | global batch size: 256 | lm loss: 2.301626E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.776 | TFLOPs: 20.31 | 31: iteration 10510/ 23189 | consumed samples: 2690560 | consumed tokens: 5510266880 | elapsed time per iteration (s): 0.75 | learning rate: 1.247E-04 | global batch size: 256 | lm loss: 2.316218E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.345 | TFLOPs: 20.53 | 31: iteration 10520/ 23189 | consumed samples: 2693120 | consumed tokens: 5515509760 | elapsed time per iteration (s): 0.74 | learning rate: 1.246E-04 | global batch size: 256 | lm loss: 2.347322E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.188 | TFLOPs: 21.00 | 31: iteration 10530/ 23189 | consumed samples: 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iteration 10560/ 23189 | consumed samples: 2703360 | consumed tokens: 5536481280 | elapsed time per iteration (s): 0.81 | learning rate: 1.241E-04 | global batch size: 256 | lm loss: 2.293841E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.835 | TFLOPs: 19.05 | 31: iteration 10570/ 23189 | consumed samples: 2705920 | consumed tokens: 5541724160 | elapsed time per iteration (s): 0.78 | learning rate: 1.240E-04 | global batch size: 256 | lm loss: 2.292113E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.142 | TFLOPs: 19.73 | 31: iteration 10580/ 23189 | consumed samples: 2708480 | consumed tokens: 5546967040 | elapsed time per iteration (s): 0.80 | learning rate: 1.239E-04 | global batch size: 256 | lm loss: 2.297631E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.224 | TFLOPs: 19.25 | 31: iteration 10590/ 23189 | consumed samples: 2711040 | consumed tokens: 5552209920 | elapsed time per iteration (s): 0.79 | learning rate: 1.237E-04 | global batch size: 256 | lm loss: 2.328856E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.560 | TFLOPs: 19.64 | 31: iteration 10600/ 23189 | consumed samples: 2713600 | consumed tokens: 5557452800 | elapsed time per iteration (s): 0.82 | learning rate: 1.236E-04 | global batch size: 256 | lm loss: 2.294093E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.265 | TFLOPs: 18.89 | 31: iteration 10610/ 23189 | consumed samples: 2716160 | consumed tokens: 5562695680 | elapsed time per iteration (s): 0.75 | learning rate: 1.235E-04 | global batch size: 256 | lm loss: 2.275373E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.000 | TFLOPs: 20.57 | 31: iteration 10620/ 23189 | consumed samples: 2718720 | consumed tokens: 5567938560 | elapsed time per iteration (s): 0.76 | learning rate: 1.234E-04 | global batch size: 256 | lm loss: 2.290379E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.784 | TFLOPs: 20.37 | 31: iteration 10630/ 23189 | consumed samples: 2721280 | consumed tokens: 5573181440 | elapsed time per iteration (s): 0.75 | learning rate: 1.233E-04 | global batch size: 256 | lm loss: 2.274524E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.472 | TFLOPs: 20.66 | 31: iteration 10640/ 23189 | consumed samples: 2723840 | consumed tokens: 5578424320 | elapsed time per iteration (s): 0.77 | learning rate: 1.231E-04 | global batch size: 256 | lm loss: 2.304512E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.607 | TFLOPs: 20.12 | 31: iteration 10650/ 23189 | consumed samples: 2726400 | consumed tokens: 5583667200 | elapsed time per iteration (s): 0.74 | learning rate: 1.230E-04 | global batch size: 256 | lm loss: 2.310074E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.085 | TFLOPs: 20.94 | 31: iteration 10660/ 23189 | consumed samples: 2728960 | consumed tokens: 5588910080 | elapsed time per iteration (s): 0.73 | learning rate: 1.229E-04 | global batch size: 256 | lm loss: 2.302533E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.418 | TFLOPs: 21.14 | 31: iteration 10670/ 23189 | consumed samples: 2731520 | consumed tokens: 5594152960 | elapsed time per iteration (s): 0.73 | learning rate: 1.228E-04 | global batch size: 256 | lm loss: 2.321805E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.515 | TFLOPs: 21.27 | 31: iteration 10680/ 23189 | consumed samples: 2734080 | consumed tokens: 5599395840 | elapsed time per iteration (s): 0.76 | learning rate: 1.226E-04 | global batch size: 256 | lm loss: 2.296350E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.026 | TFLOPs: 20.39 | 31: iteration 10690/ 23189 | consumed samples: 2736640 | consumed tokens: 5604638720 | elapsed time per iteration (s): 0.75 | learning rate: 1.225E-04 | global batch size: 256 | lm loss: 2.314424E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.405 | TFLOPs: 20.65 | 31: iteration 10700/ 23189 | consumed samples: 2739200 | consumed tokens: 5609881600 | elapsed time per iteration (s): 0.75 | learning rate: 1.224E-04 | global batch size: 256 | lm loss: 2.297609E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.805 | TFLOPs: 20.56 | 31: iteration 10710/ 23189 | consumed samples: 2741760 | consumed tokens: 5615124480 | elapsed time per iteration (s): 0.72 | learning rate: 1.223E-04 | global batch size: 256 | lm loss: 2.318476E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.893 | TFLOPs: 21.59 | 31: iteration 10720/ 23189 | consumed samples: 2744320 | consumed tokens: 5620367360 | elapsed time per iteration (s): 0.76 | learning rate: 1.222E-04 | global batch size: 256 | lm loss: 2.327511E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.787 | TFLOPs: 20.31 | 31: iteration 10730/ 23189 | consumed samples: 2746880 | consumed tokens: 5625610240 | elapsed time per iteration (s): 0.78 | learning rate: 1.220E-04 | global batch size: 256 | lm loss: 2.295194E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.430 | TFLOPs: 19.93 | 31: iteration 10740/ 23189 | consumed samples: 2749440 | consumed tokens: 5630853120 | elapsed time per iteration (s): 0.76 | learning rate: 1.219E-04 | global batch size: 256 | lm loss: 2.276288E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.878 | TFLOPs: 20.26 | 31: iteration 10750/ 23189 | consumed samples: 2752000 | consumed tokens: 5636096000 | elapsed time per iteration (s): 0.72 | learning rate: 1.218E-04 | global batch size: 256 | lm loss: 2.301398E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.311 | TFLOPs: 21.43 | 31: iteration 10760/ 23189 | consumed samples: 2754560 | consumed tokens: 5641338880 | elapsed time per iteration (s): 0.79 | learning rate: 1.217E-04 | global batch size: 256 | lm loss: 2.305532E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.858 | TFLOPs: 19.59 | 31: iteration 10770/ 23189 | consumed samples: 2757120 | consumed tokens: 5646581760 | elapsed time per iteration (s): 0.77 | learning rate: 1.216E-04 | global batch size: 256 | lm loss: 2.267723E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.776 | TFLOPs: 20.07 | 31: iteration 10780/ 23189 | consumed samples: 2759680 | consumed tokens: 5651824640 | elapsed time per iteration (s): 0.76 | learning rate: 1.214E-04 | global batch size: 256 | lm loss: 2.264986E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.011 | TFLOPs: 20.39 | 31: iteration 10790/ 23189 | consumed samples: 2762240 | consumed tokens: 5657067520 | elapsed time per iteration (s): 0.72 | learning rate: 1.213E-04 | global batch size: 256 | lm loss: 2.309509E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.937 | TFLOPs: 21.41 | 31: iteration 10800/ 23189 | consumed samples: 2764800 | consumed tokens: 5662310400 | elapsed time per iteration (s): 0.74 | learning rate: 1.212E-04 | global batch size: 256 | lm loss: 2.272403E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.604 | TFLOPs: 21.03 | 31: iteration 10810/ 23189 | consumed samples: 2767360 | consumed tokens: 5667553280 | elapsed time per iteration (s): 0.74 | learning rate: 1.211E-04 | global batch size: 256 | lm loss: 2.282366E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.223 | TFLOPs: 20.82 | 31: iteration 10820/ 23189 | consumed samples: 2769920 | consumed tokens: 5672796160 | elapsed time per iteration (s): 0.76 | learning rate: 1.209E-04 | global batch size: 256 | lm loss: 2.289670E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.792 | TFLOPs: 20.38 | 31: iteration 10830/ 23189 | consumed samples: 2772480 | consumed tokens: 5678039040 | elapsed time per iteration (s): 0.77 | learning rate: 1.208E-04 | global batch size: 256 | lm loss: 2.295665E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.823 | TFLOPs: 20.20 | 31: iteration 10840/ 23189 | consumed samples: 2775040 | consumed tokens: 5683281920 | elapsed time per iteration (s): 0.77 | learning rate: 1.207E-04 | global batch size: 256 | lm loss: 2.290436E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.160 | TFLOPs: 20.16 | 31: iteration 10850/ 23189 | consumed samples: 2777600 | consumed tokens: 5688524800 | elapsed time per iteration (s): 0.77 | learning rate: 1.206E-04 | global batch size: 256 | lm loss: 2.258972E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.087 | TFLOPs: 20.03 | 31: iteration 10860/ 23189 | consumed samples: 2780160 | consumed tokens: 5693767680 | elapsed time per iteration (s): 0.78 | learning rate: 1.205E-04 | global batch size: 256 | lm loss: 2.319621E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.614 | TFLOPs: 19.88 | 31: iteration 10870/ 23189 | consumed samples: 2782720 | consumed tokens: 5699010560 | elapsed time per iteration (s): 0.77 | learning rate: 1.203E-04 | global batch size: 256 | lm loss: 2.300135E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.533 | TFLOPs: 20.06 | 31: iteration 10880/ 23189 | consumed samples: 2785280 | consumed tokens: 5704253440 | elapsed time per iteration (s): 0.77 | learning rate: 1.202E-04 | global batch size: 256 | lm loss: 2.310407E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.482 | TFLOPs: 20.24 | 31: iteration 10890/ 23189 | consumed samples: 2787840 | consumed tokens: 5709496320 | elapsed time per iteration (s): 0.77 | learning rate: 1.201E-04 | global batch size: 256 | lm loss: 2.292927E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.675 | TFLOPs: 20.01 | 31: iteration 10900/ 23189 | consumed samples: 2790400 | consumed tokens: 5714739200 | elapsed time per iteration (s): 0.80 | learning rate: 1.200E-04 | global batch size: 256 | lm loss: 2.289128E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.285 | TFLOPs: 19.44 | 31: iteration 10910/ 23189 | consumed samples: 2792960 | consumed tokens: 5719982080 | elapsed time per iteration (s): 0.81 | learning rate: 1.198E-04 | global batch size: 256 | lm loss: 2.319708E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.034 | TFLOPs: 19.12 | 31: iteration 10920/ 23189 | consumed samples: 2795520 | consumed tokens: 5725224960 | elapsed time per iteration (s): 0.81 | learning rate: 1.197E-04 | global batch size: 256 | lm loss: 2.271276E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.589 | TFLOPs: 19.09 | 31: iteration 10930/ 23189 | consumed samples: 2798080 | consumed tokens: 5730467840 | elapsed time per iteration (s): 0.87 | learning rate: 1.196E-04 | global batch size: 256 | lm loss: 2.281053E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 295.699 | TFLOPs: 17.89 | 31: iteration 10940/ 23189 | consumed samples: 2800640 | consumed tokens: 5735710720 | elapsed time per iteration (s): 0.86 | learning rate: 1.195E-04 | global batch size: 256 | lm loss: 2.254648E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 296.017 | TFLOPs: 17.91 | 31: iteration 10950/ 23189 | consumed samples: 2803200 | consumed tokens: 5740953600 | elapsed time per iteration (s): 0.79 | learning rate: 1.193E-04 | global batch size: 256 | lm loss: 2.314560E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.771 | TFLOPs: 19.65 | 31: iteration 10960/ 23189 | consumed samples: 2805760 | consumed tokens: 5746196480 | elapsed time per iteration (s): 0.75 | learning rate: 1.192E-04 | global batch size: 256 | lm loss: 2.286665E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.296 | TFLOPs: 20.77 | 31: iteration 10970/ 23189 | consumed samples: 2808320 | consumed tokens: 5751439360 | elapsed time per iteration (s): 0.72 | learning rate: 1.191E-04 | global batch size: 256 | lm loss: 2.292179E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.865 | TFLOPs: 21.53 | 31: iteration 10980/ 23189 | consumed samples: 2810880 | consumed tokens: 5756682240 | elapsed time per iteration (s): 0.74 | learning rate: 1.190E-04 | global batch size: 256 | lm loss: 2.288583E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.112 | TFLOPs: 21.06 | 31: iteration 10990/ 23189 | consumed samples: 2813440 | consumed tokens: 5761925120 | elapsed time per iteration (s): 0.78 | learning rate: 1.189E-04 | global batch size: 256 | lm loss: 2.299869E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.227 | TFLOPs: 19.98 | 31: iteration 11000/ 23189 | consumed samples: 2816000 | consumed tokens: 5767168000 | elapsed time per iteration (s): 0.74 | learning rate: 1.187E-04 | global batch size: 256 | lm loss: 2.297926E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.366 | TFLOPs: 21.01 | 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 11000 | lm loss value: 2.228130E+00 | lm loss PPL: 9.282488E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 11010/ 23189 | consumed samples: 2818560 | consumed tokens: 5772410880 | elapsed time per iteration (s): 0.84 | learning rate: 1.186E-04 | global batch size: 256 | lm loss: 2.275150E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.780 | TFLOPs: 18.38 | 31: iteration 11020/ 23189 | consumed samples: 2821120 | consumed tokens: 5777653760 | elapsed time per iteration (s): 0.77 | learning rate: 1.185E-04 | global batch size: 256 | lm loss: 2.323048E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.329 | TFLOPs: 19.98 | 31: iteration 11030/ 23189 | consumed samples: 2823680 | consumed tokens: 5782896640 | elapsed time per iteration (s): 0.76 | learning rate: 1.184E-04 | global batch size: 256 | lm loss: 2.266402E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.210 | TFLOPs: 20.34 | 31: iteration 11040/ 23189 | consumed samples: 2826240 | consumed tokens: 5788139520 | elapsed time per iteration (s): 0.75 | learning rate: 1.182E-04 | global batch size: 256 | lm loss: 2.292189E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.581 | TFLOPs: 20.54 | 31: iteration 11050/ 23189 | consumed samples: 2828800 | consumed tokens: 5793382400 | elapsed time per iteration (s): 0.80 | learning rate: 1.181E-04 | global batch size: 256 | lm loss: 2.308034E+00 | grad norm: 0.489 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.840 | TFLOPs: 19.47 | 31: iteration 11060/ 23189 | consumed samples: 2831360 | consumed tokens: 5798625280 | elapsed time per iteration (s): 0.76 | learning rate: 1.180E-04 | global batch size: 256 | lm loss: 2.274396E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.369 | TFLOPs: 20.47 | 31: iteration 11070/ 23189 | consumed samples: 2833920 | consumed tokens: 5803868160 | elapsed time per iteration (s): 0.75 | learning rate: 1.179E-04 | global batch size: 256 | lm loss: 2.287932E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.527 | TFLOPs: 20.78 | 31: iteration 11080/ 23189 | consumed samples: 2836480 | consumed tokens: 5809111040 | elapsed time per iteration (s): 0.73 | learning rate: 1.178E-04 | global batch size: 256 | lm loss: 2.310809E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.351 | TFLOPs: 21.07 | 31: iteration 11090/ 23189 | consumed samples: 2839040 | consumed tokens: 5814353920 | elapsed time per iteration (s): 0.73 | learning rate: 1.176E-04 | global batch size: 256 | lm loss: 2.305016E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.027 | TFLOPs: 21.24 | 31: iteration 11100/ 23189 | consumed samples: 2841600 | consumed tokens: 5819596800 | elapsed time per iteration (s): 0.79 | learning rate: 1.175E-04 | global batch size: 256 | lm loss: 2.323868E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.268 | TFLOPs: 19.50 | 31: iteration 11110/ 23189 | consumed samples: 2844160 | consumed tokens: 5824839680 | elapsed time per iteration (s): 0.79 | learning rate: 1.174E-04 | global batch size: 256 | lm loss: 2.328262E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.770 | TFLOPs: 19.59 | 31: iteration 11120/ 23189 | consumed samples: 2846720 | consumed tokens: 5830082560 | elapsed time per iteration (s): 0.75 | learning rate: 1.173E-04 | global batch size: 256 | lm loss: 2.312481E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.098 | TFLOPs: 20.64 | 31: iteration 11130/ 23189 | consumed samples: 2849280 | consumed tokens: 5835325440 | elapsed time per iteration (s): 0.77 | learning rate: 1.171E-04 | global batch size: 256 | lm loss: 2.272841E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.486 | TFLOPs: 20.18 | 31: iteration 11140/ 23189 | consumed samples: 2851840 | consumed tokens: 5840568320 | elapsed time per iteration (s): 0.76 | learning rate: 1.170E-04 | global batch size: 256 | lm loss: 2.297921E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.397 | TFLOPs: 20.41 | 31: iteration 11150/ 23189 | consumed samples: 2854400 | consumed tokens: 5845811200 | elapsed time per iteration (s): 0.79 | learning rate: 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iteration 11240/ 23189 | consumed samples: 2877440 | consumed tokens: 5892997120 | elapsed time per iteration (s): 0.74 | learning rate: 1.158E-04 | global batch size: 256 | lm loss: 2.309381E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.619 | TFLOPs: 20.91 | 31: iteration 11250/ 23189 | consumed samples: 2880000 | consumed tokens: 5898240000 | elapsed time per iteration (s): 0.76 | learning rate: 1.157E-04 | global batch size: 256 | lm loss: 2.300499E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.753 | TFLOPs: 20.25 | 31: iteration 11260/ 23189 | consumed samples: 2882560 | consumed tokens: 5903482880 | elapsed time per iteration (s): 0.77 | learning rate: 1.155E-04 | global batch size: 256 | lm loss: 2.286977E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.628 | TFLOPs: 20.12 | 31: iteration 11270/ 23189 | consumed samples: 2885120 | consumed tokens: 5908725760 | elapsed time per iteration (s): 0.79 | learning rate: 1.154E-04 | global batch size: 256 | lm loss: 2.289585E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.717 | TFLOPs: 19.58 | 31: iteration 11280/ 23189 | consumed samples: 2887680 | consumed tokens: 5913968640 | elapsed time per iteration (s): 0.81 | learning rate: 1.153E-04 | global batch size: 256 | lm loss: 2.321968E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.177 | TFLOPs: 19.07 | 31: iteration 11290/ 23189 | consumed samples: 2890240 | consumed tokens: 5919211520 | elapsed time per iteration (s): 0.81 | learning rate: 1.152E-04 | global batch size: 256 | lm loss: 2.280903E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.854 | TFLOPs: 19.23 | 31: iteration 11300/ 23189 | consumed samples: 2892800 | consumed tokens: 5924454400 | elapsed time per iteration (s): 0.79 | learning rate: 1.151E-04 | global batch size: 256 | lm loss: 2.268755E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.291 | TFLOPs: 19.56 | 31: iteration 11310/ 23189 | consumed samples: 2895360 | consumed tokens: 5929697280 | elapsed time per iteration (s): 0.75 | learning rate: 1.149E-04 | global batch size: 256 | lm loss: 2.280353E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.493 | TFLOPs: 20.60 | 31: iteration 11320/ 23189 | consumed samples: 2897920 | consumed tokens: 5934940160 | elapsed time per iteration (s): 0.73 | learning rate: 1.148E-04 | global batch size: 256 | lm loss: 2.273477E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.502 | TFLOPs: 21.08 | 31: iteration 11330/ 23189 | consumed samples: 2900480 | consumed tokens: 5940183040 | elapsed time per iteration (s): 0.74 | learning rate: 1.147E-04 | global batch size: 256 | lm loss: 2.272385E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.529 | TFLOPs: 20.96 | 31: iteration 11340/ 23189 | consumed samples: 2903040 | consumed tokens: 5945425920 | elapsed time per iteration (s): 0.74 | learning rate: 1.146E-04 | global batch size: 256 | lm loss: 2.291888E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.094 | TFLOPs: 21.06 | 31: iteration 11350/ 23189 | consumed samples: 2905600 | consumed tokens: 5950668800 | elapsed time per iteration (s): 0.74 | learning rate: 1.144E-04 | global batch size: 256 | lm loss: 2.296551E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.220 | TFLOPs: 21.01 | 31: iteration 11360/ 23189 | consumed samples: 2908160 | consumed tokens: 5955911680 | elapsed time per iteration (s): 0.79 | learning rate: 1.143E-04 | global batch size: 256 | lm loss: 2.307430E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.111 | TFLOPs: 19.67 | 31: iteration 11370/ 23189 | consumed samples: 2910720 | consumed tokens: 5961154560 | elapsed time per iteration (s): 0.79 | learning rate: 1.142E-04 | global batch size: 256 | lm loss: 2.289393E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.737 | TFLOPs: 19.59 | 31: iteration 11380/ 23189 | consumed samples: 2913280 | consumed tokens: 5966397440 | elapsed time per iteration (s): 0.74 | learning rate: 1.141E-04 | global batch size: 256 | lm loss: 2.284901E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.417 | TFLOPs: 20.96 | 31: iteration 11390/ 23189 | consumed samples: 2915840 | consumed tokens: 5971640320 | elapsed time per iteration (s): 0.75 | learning rate: 1.139E-04 | global batch size: 256 | lm loss: 2.278232E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.894 | TFLOPs: 20.74 | 31: iteration 11400/ 23189 | consumed samples: 2918400 | consumed tokens: 5976883200 | elapsed time per iteration (s): 0.75 | learning rate: 1.138E-04 | global batch size: 256 | lm loss: 2.314902E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.272 | TFLOPs: 20.53 | 31: iteration 11410/ 23189 | consumed samples: 2920960 | consumed tokens: 5982126080 | elapsed time per iteration (s): 0.77 | learning rate: 1.137E-04 | global batch size: 256 | lm loss: 2.257521E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.676 | TFLOPs: 20.13 | 31: iteration 11420/ 23189 | consumed samples: 2923520 | consumed tokens: 5987368960 | elapsed time per iteration (s): 0.81 | learning rate: 1.136E-04 | global batch size: 256 | lm loss: 2.255854E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.683 | TFLOPs: 19.16 | 31: iteration 11430/ 23189 | consumed samples: 2926080 | consumed tokens: 5992611840 | elapsed time per iteration (s): 0.74 | learning rate: 1.135E-04 | global batch size: 256 | lm loss: 2.275027E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.713 | TFLOPs: 20.91 | 31: iteration 11440/ 23189 | consumed samples: 2928640 | consumed tokens: 5997854720 | elapsed time per iteration (s): 0.75 | learning rate: 1.133E-04 | global batch size: 256 | lm loss: 2.304051E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.448 | TFLOPs: 20.60 | 31: iteration 11450/ 23189 | consumed samples: 2931200 | consumed tokens: 6003097600 | elapsed time per iteration (s): 0.74 | learning rate: 1.132E-04 | global batch size: 256 | lm loss: 2.265078E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.313 | TFLOPs: 21.01 | 31: iteration 11460/ 23189 | consumed samples: 2933760 | consumed tokens: 6008340480 | elapsed time per iteration (s): 0.75 | learning rate: 1.131E-04 | global batch size: 256 | lm loss: 2.280946E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.148 | TFLOPs: 20.64 | 31: iteration 11470/ 23189 | consumed samples: 2936320 | consumed tokens: 6013583360 | elapsed time per iteration (s): 0.72 | learning rate: 1.130E-04 | global batch size: 256 | lm loss: 2.297699E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.617 | TFLOPs: 21.51 | 31: iteration 11480/ 23189 | consumed samples: 2938880 | consumed tokens: 6018826240 | elapsed time per iteration (s): 0.84 | learning rate: 1.128E-04 | global batch size: 256 | lm loss: 2.308368E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.136 | TFLOPs: 18.34 | 31: iteration 11490/ 23189 | consumed samples: 2941440 | consumed tokens: 6024069120 | elapsed time per iteration (s): 0.77 | learning rate: 1.127E-04 | global batch size: 256 | lm loss: 2.291890E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.171 | TFLOPs: 20.03 | 31: iteration 11500/ 23189 | consumed samples: 2944000 | consumed tokens: 6029312000 | elapsed time per iteration (s): 0.75 | learning rate: 1.126E-04 | global batch size: 256 | lm loss: 2.306908E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.103 | TFLOPs: 20.51 | 31: iteration 11510/ 23189 | consumed samples: 2946560 | consumed tokens: 6034554880 | elapsed time per iteration (s): 0.81 | learning rate: 1.125E-04 | global batch size: 256 | lm loss: 2.304894E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.556 | TFLOPs: 19.21 | 31: iteration 11520/ 23189 | consumed samples: 2949120 | consumed tokens: 6039797760 | elapsed time per iteration (s): 0.81 | learning rate: 1.123E-04 | global batch size: 256 | lm loss: 2.284015E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.793 | TFLOPs: 19.10 | 31: iteration 11530/ 23189 | consumed samples: 2951680 | consumed tokens: 6045040640 | elapsed time per iteration (s): 0.81 | learning rate: 1.122E-04 | global batch size: 256 | lm loss: 2.255354E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.307 | TFLOPs: 19.08 | 31: iteration 11540/ 23189 | consumed samples: 2954240 | consumed tokens: 6050283520 | elapsed time per iteration (s): 0.83 | learning rate: 1.121E-04 | global batch size: 256 | lm loss: 2.300074E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.348 | TFLOPs: 18.71 | 31: iteration 11550/ 23189 | consumed samples: 2956800 | consumed tokens: 6055526400 | elapsed time per iteration (s): 0.78 | learning rate: 1.120E-04 | global batch size: 256 | lm loss: 2.294720E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.186 | TFLOPs: 19.79 | 31: iteration 11560/ 23189 | consumed samples: 2959360 | consumed tokens: 6060769280 | elapsed time per iteration (s): 0.81 | learning rate: 1.119E-04 | global batch size: 256 | lm loss: 2.295240E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.625 | TFLOPs: 19.09 | 31: iteration 11570/ 23189 | consumed samples: 2961920 | consumed tokens: 6066012160 | elapsed time per iteration (s): 0.76 | learning rate: 1.117E-04 | global batch size: 256 | lm loss: 2.275923E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.949 | TFLOPs: 20.26 | 31: iteration 11580/ 23189 | consumed samples: 2964480 | consumed tokens: 6071255040 | elapsed time per iteration (s): 0.78 | learning rate: 1.116E-04 | global batch size: 256 | lm loss: 2.255501E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.804 | TFLOPs: 19.89 | 31: iteration 11590/ 23189 | consumed samples: 2967040 | consumed tokens: 6076497920 | elapsed time per iteration (s): 0.74 | learning rate: 1.115E-04 | global batch size: 256 | lm loss: 2.289847E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.981 | TFLOPs: 20.99 | 31: iteration 11600/ 23189 | consumed samples: 2969600 | consumed tokens: 6081740800 | elapsed time per iteration (s): 0.76 | learning rate: 1.114E-04 | global batch size: 256 | lm loss: 2.290384E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.089 | TFLOPs: 20.45 | 31: iteration 11610/ 23189 | consumed samples: 2972160 | consumed tokens: 6086983680 | elapsed time per iteration (s): 0.74 | learning rate: 1.112E-04 | global batch size: 256 | lm loss: 2.287385E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.146 | TFLOPs: 20.88 | 31: iteration 11620/ 23189 | consumed samples: 2974720 | consumed tokens: 6092226560 | elapsed time per iteration (s): 0.77 | learning rate: 1.111E-04 | global batch size: 256 | lm loss: 2.318114E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.378 | TFLOPs: 20.23 | 31: iteration 11630/ 23189 | consumed samples: 2977280 | consumed tokens: 6097469440 | elapsed time per iteration (s): 0.76 | learning rate: 1.110E-04 | global batch size: 256 | lm loss: 2.271134E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.889 | TFLOPs: 20.38 | 31: iteration 11640/ 23189 | consumed samples: 2979840 | consumed tokens: 6102712320 | elapsed time per iteration (s): 0.75 | learning rate: 1.109E-04 | global batch size: 256 | lm loss: 2.301649E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.896 | TFLOPs: 20.74 | 31: iteration 11650/ 23189 | consumed samples: 2982400 | consumed tokens: 6107955200 | elapsed time per iteration (s): 0.77 | learning rate: 1.107E-04 | global batch size: 256 | lm loss: 2.255810E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.571 | TFLOPs: 20.06 | 31: iteration 11660/ 23189 | consumed samples: 2984960 | consumed tokens: 6113198080 | elapsed time per iteration (s): 0.88 | learning rate: 1.106E-04 | global batch size: 256 | lm loss: 2.288176E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 291.997 | TFLOPs: 17.67 | 31: iteration 11670/ 23189 | consumed samples: 2987520 | consumed tokens: 6118440960 | elapsed time per iteration (s): 0.77 | learning rate: 1.105E-04 | global batch size: 256 | lm loss: 2.262600E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.433 | TFLOPs: 20.23 | 31: iteration 11680/ 23189 | consumed samples: 2990080 | consumed tokens: 6123683840 | elapsed time per iteration (s): 0.82 | learning rate: 1.104E-04 | global batch size: 256 | lm loss: 2.302756E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.189 | TFLOPs: 18.83 | 31: iteration 11690/ 23189 | consumed samples: 2992640 | consumed tokens: 6128926720 | elapsed time per iteration (s): 0.77 | learning rate: 1.103E-04 | global batch size: 256 | lm loss: 2.301953E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.291 | TFLOPs: 20.16 | 31: iteration 11700/ 23189 | consumed samples: 2995200 | consumed tokens: 6134169600 | elapsed time per iteration (s): 0.76 | learning rate: 1.101E-04 | global batch size: 256 | lm loss: 2.266793E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.569 | TFLOPs: 20.48 | 31: iteration 11710/ 23189 | consumed samples: 2997760 | consumed tokens: 6139412480 | elapsed time per iteration (s): 0.76 | learning rate: 1.100E-04 | global batch size: 256 | lm loss: 2.289659E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.737 | TFLOPs: 20.49 | 31: iteration 11720/ 23189 | consumed samples: 3000320 | consumed tokens: 6144655360 | elapsed time per iteration (s): 0.77 | learning rate: 1.099E-04 | global batch size: 256 | lm loss: 2.274806E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.395 | TFLOPs: 20.11 | 31: iteration 11730/ 23189 | consumed samples: 3002880 | consumed tokens: 6149898240 | elapsed time per iteration (s): 0.73 | learning rate: 1.098E-04 | global batch size: 256 | lm loss: 2.277011E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.827 | TFLOPs: 21.28 | 31: iteration 11740/ 23189 | consumed samples: 3005440 | consumed tokens: 6155141120 | elapsed time per iteration (s): 0.76 | learning rate: 1.096E-04 | global batch size: 256 | lm loss: 2.280464E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.101 | TFLOPs: 20.39 | 31: iteration 11750/ 23189 | consumed samples: 3008000 | consumed tokens: 6160384000 | elapsed time per iteration (s): 0.75 | learning rate: 1.095E-04 | global batch size: 256 | lm loss: 2.255536E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.148 | TFLOPs: 20.76 | 31: iteration 11760/ 23189 | consumed samples: 3010560 | consumed tokens: 6165626880 | elapsed time per iteration (s): 0.76 | learning rate: 1.094E-04 | global batch size: 256 | lm loss: 2.288840E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.616 | TFLOPs: 20.49 | 31: iteration 11770/ 23189 | consumed samples: 3013120 | consumed tokens: 6170869760 | elapsed time per iteration (s): 0.73 | learning rate: 1.093E-04 | global batch size: 256 | lm loss: 2.296343E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.544 | TFLOPs: 21.27 | 31: iteration 11780/ 23189 | consumed samples: 3015680 | consumed tokens: 6176112640 | elapsed time per iteration (s): 0.75 | learning rate: 1.091E-04 | global batch size: 256 | lm loss: 2.261675E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.171 | TFLOPs: 20.76 | 31: iteration 11790/ 23189 | consumed samples: 3018240 | consumed tokens: 6181355520 | elapsed time per iteration (s): 0.80 | learning rate: 1.090E-04 | global batch size: 256 | lm loss: 2.275329E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.619 | TFLOPs: 19.46 | 31: iteration 11800/ 23189 | consumed samples: 3020800 | consumed tokens: 6186598400 | elapsed time per iteration (s): 0.78 | learning rate: 1.089E-04 | global batch size: 256 | lm loss: 2.275680E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.365 | TFLOPs: 19.87 | 31: iteration 11810/ 23189 | consumed samples: 3023360 | consumed tokens: 6191841280 | elapsed time per iteration (s): 0.77 | learning rate: 1.088E-04 | global batch size: 256 | lm loss: 2.264693E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.472 | TFLOPs: 20.11 | 31: iteration 11820/ 23189 | consumed samples: 3025920 | consumed tokens: 6197084160 | elapsed time per iteration (s): 0.80 | learning rate: 1.087E-04 | global batch size: 256 | lm loss: 2.278259E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.782 | TFLOPs: 19.29 | 31: iteration 11830/ 23189 | consumed samples: 3028480 | consumed tokens: 6202327040 | elapsed time per iteration (s): 0.73 | learning rate: 1.085E-04 | global batch size: 256 | lm loss: 2.221315E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.468 | TFLOPs: 21.20 | 31: iteration 11840/ 23189 | consumed samples: 3031040 | consumed tokens: 6207569920 | elapsed time per iteration (s): 0.82 | learning rate: 1.084E-04 | global batch size: 256 | lm loss: 2.262301E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.082 | TFLOPs: 18.82 | 31: iteration 11850/ 23189 | consumed samples: 3033600 | consumed tokens: 6212812800 | elapsed time per iteration (s): 0.75 | learning rate: 1.083E-04 | global batch size: 256 | lm loss: 2.294790E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.700 | TFLOPs: 20.61 | 31: iteration 11860/ 23189 | consumed samples: 3036160 | consumed tokens: 6218055680 | elapsed time per iteration (s): 0.78 | learning rate: 1.082E-04 | global batch size: 256 | lm loss: 2.228118E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.441 | TFLOPs: 19.75 | 31: iteration 11870/ 23189 | consumed samples: 3038720 | consumed tokens: 6223298560 | elapsed time per iteration (s): 0.77 | learning rate: 1.080E-04 | global batch size: 256 | lm loss: 2.275679E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.017 | TFLOPs: 20.15 | 31: iteration 11880/ 23189 | consumed samples: 3041280 | consumed tokens: 6228541440 | elapsed time per iteration (s): 0.78 | learning rate: 1.079E-04 | global batch size: 256 | lm loss: 2.272637E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.212 | TFLOPs: 19.92 | 31: iteration 11890/ 23189 | consumed samples: 3043840 | consumed tokens: 6233784320 | elapsed time per iteration (s): 0.74 | learning rate: 1.078E-04 | global batch size: 256 | lm loss: 2.285200E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.984 | TFLOPs: 20.99 | 31: iteration 11900/ 23189 | consumed samples: 3046400 | consumed tokens: 6239027200 | elapsed time per iteration (s): 0.84 | learning rate: 1.077E-04 | global batch size: 256 | lm loss: 2.248531E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 306.154 | TFLOPs: 18.52 | 31: iteration 11910/ 23189 | consumed samples: 3048960 | consumed tokens: 6244270080 | elapsed time per iteration (s): 0.77 | learning rate: 1.075E-04 | global batch size: 256 | lm loss: 2.302230E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.119 | TFLOPs: 20.09 | 31: iteration 11920/ 23189 | consumed samples: 3051520 | consumed tokens: 6249512960 | elapsed time per iteration (s): 0.73 | learning rate: 1.074E-04 | global batch size: 256 | lm loss: 2.298661E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.903 | TFLOPs: 21.29 | 31: iteration 11930/ 23189 | consumed samples: 3054080 | consumed tokens: 6254755840 | elapsed time per iteration (s): 0.76 | learning rate: 1.073E-04 | global batch size: 256 | lm loss: 2.296698E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.787 | TFLOPs: 20.37 | 31: iteration 11940/ 23189 | consumed samples: 3056640 | consumed tokens: 6259998720 | elapsed time per iteration (s): 0.76 | learning rate: 1.072E-04 | global batch size: 256 | lm loss: 2.292750E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.728 | TFLOPs: 20.49 | 31: iteration 11950/ 23189 | consumed samples: 3059200 | consumed tokens: 6265241600 | elapsed time per iteration (s): 0.80 | learning rate: 1.071E-04 | global batch size: 256 | lm loss: 2.235435E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.053 | TFLOPs: 19.24 | 31: iteration 11960/ 23189 | consumed samples: 3061760 | consumed tokens: 6270484480 | elapsed time per iteration (s): 0.77 | learning rate: 1.069E-04 | global batch size: 256 | lm loss: 2.275270E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.006 | TFLOPs: 20.09 | 31: iteration 11970/ 23189 | consumed samples: 3064320 | consumed tokens: 6275727360 | elapsed time per iteration (s): 0.78 | learning rate: 1.068E-04 | global batch size: 256 | lm loss: 2.272405E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.003 | TFLOPs: 19.78 | 31: iteration 11980/ 23189 | consumed samples: 3066880 | consumed tokens: 6280970240 | elapsed time per iteration (s): 0.83 | learning rate: 1.067E-04 | global batch size: 256 | lm loss: 2.302224E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.408 | TFLOPs: 18.72 | 31: iteration 11990/ 23189 | consumed samples: 3069440 | consumed tokens: 6286213120 | elapsed time per iteration (s): 0.75 | learning rate: 1.066E-04 | global batch size: 256 | lm loss: 2.276026E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.595 | TFLOPs: 20.67 | 0: [2022-11-28 20:28:21,204] [INFO] [logging.py:68:log_dist] [Rank 0] step=12000, skipped=0, lr=[0.0001064355210119705, 0.0001064355210119705, 0.0001064355210119705], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 0: steps: 12000 loss: 2.3520 iter time (s): 0.770 samples/sec: 332.474 31: iteration 12000/ 23189 | consumed samples: 3072000 | consumed tokens: 6291456000 | elapsed time per iteration (s): 0.80 | learning rate: 1.064E-04 | global batch size: 256 | lm loss: 2.297833E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.042 | TFLOPs: 19.36 | 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 12000 | lm loss value: 2.260229E+00 | lm loss PPL: 9.585287E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 12010/ 23189 | consumed samples: 3074560 | consumed tokens: 6296698880 | elapsed time per iteration (s): 0.86 | learning rate: 1.063E-04 | global batch size: 256 | lm loss: 2.274186E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 296.980 | TFLOPs: 17.97 | 31: iteration 12020/ 23189 | consumed samples: 3077120 | consumed tokens: 6301941760 | elapsed time per iteration (s): 0.80 | learning rate: 1.062E-04 | global batch size: 256 | lm loss: 2.236265E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.346 | TFLOPs: 19.32 | 31: iteration 12030/ 23189 | consumed samples: 3079680 | consumed tokens: 6307184640 | elapsed time per iteration (s): 0.80 | learning rate: 1.061E-04 | global batch size: 256 | lm loss: 2.249170E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.800 | TFLOPs: 19.47 | 31: iteration 12040/ 23189 | consumed samples: 3082240 | consumed tokens: 6312427520 | elapsed time per iteration (s): 0.79 | learning rate: 1.059E-04 | global batch size: 256 | lm loss: 2.266907E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.486 | TFLOPs: 19.63 | 31: iteration 12050/ 23189 | consumed samples: 3084800 | consumed tokens: 6317670400 | elapsed time per iteration (s): 0.75 | learning rate: 1.058E-04 | global batch size: 256 | lm loss: 2.247629E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.998 | TFLOPs: 20.63 | 31: iteration 12060/ 23189 | consumed samples: 3087360 | consumed tokens: 6322913280 | elapsed time per iteration (s): 0.74 | learning rate: 1.057E-04 | global batch size: 256 | lm loss: 2.256019E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.705 | TFLOPs: 20.85 | 31: iteration 12070/ 23189 | consumed samples: 3089920 | consumed tokens: 6328156160 | elapsed time per iteration (s): 0.80 | learning rate: 1.056E-04 | global batch size: 256 | lm loss: 2.280522E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.609 | TFLOPs: 19.34 | 31: iteration 12080/ 23189 | consumed samples: 3092480 | consumed tokens: 6333399040 | elapsed time per iteration (s): 0.72 | learning rate: 1.055E-04 | global batch size: 256 | lm loss: 2.261721E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.218 | TFLOPs: 21.43 | 31: iteration 12090/ 23189 | consumed samples: 3095040 | consumed tokens: 6338641920 | elapsed time per iteration (s): 0.74 | learning rate: 1.053E-04 | global batch size: 256 | lm loss: 2.257076E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.700 | TFLOPs: 20.79 | 31: iteration 12100/ 23189 | consumed samples: 3097600 | consumed tokens: 6343884800 | elapsed time per iteration (s): 0.77 | learning rate: 1.052E-04 | global batch size: 256 | lm loss: 2.254012E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.026 | TFLOPs: 20.09 | 31: iteration 12110/ 23189 | consumed samples: 3100160 | consumed tokens: 6349127680 | elapsed time per iteration (s): 0.76 | learning rate: 1.051E-04 | global batch size: 256 | lm loss: 2.229461E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.218 | TFLOPs: 20.40 | 31: iteration 12120/ 23189 | consumed samples: 3102720 | consumed tokens: 6354370560 | elapsed time per iteration (s): 0.74 | learning rate: 1.050E-04 | global batch size: 256 | lm loss: 2.282317E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.069 | TFLOPs: 20.88 | 31: iteration 12130/ 23189 | consumed samples: 3105280 | consumed tokens: 6359613440 | elapsed time per iteration (s): 0.76 | learning rate: 1.048E-04 | global batch size: 256 | lm loss: 2.287305E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.596 | TFLOPs: 20.36 | 31: iteration 12140/ 23189 | consumed samples: 3107840 | consumed tokens: 6364856320 | elapsed time per iteration (s): 0.75 | learning rate: 1.047E-04 | global batch size: 256 | lm loss: 2.282989E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.463 | TFLOPs: 20.78 | 31: iteration 12150/ 23189 | consumed samples: 3110400 | consumed tokens: 6370099200 | elapsed time per iteration (s): 0.76 | learning rate: 1.046E-04 | global batch size: 256 | lm loss: 2.292673E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.880 | TFLOPs: 20.38 | 31: iteration 12160/ 23189 | consumed samples: 3112960 | consumed tokens: 6375342080 | elapsed time per iteration (s): 0.74 | learning rate: 1.045E-04 | global batch size: 256 | lm loss: 2.253476E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.537 | TFLOPs: 20.96 | 31: iteration 12170/ 23189 | consumed samples: 3115520 | consumed tokens: 6380584960 | elapsed time per iteration (s): 0.75 | learning rate: 1.043E-04 | global batch size: 256 | lm loss: 2.215485E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.564 | TFLOPs: 20.60 | 31: iteration 12180/ 23189 | consumed samples: 3118080 | consumed tokens: 6385827840 | elapsed time per iteration (s): 0.73 | learning rate: 1.042E-04 | global batch size: 256 | lm loss: 2.254947E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.862 | TFLOPs: 21.35 | 31: iteration 12190/ 23189 | consumed samples: 3120640 | consumed tokens: 6391070720 | elapsed time per iteration (s): 0.80 | learning rate: 1.041E-04 | global batch size: 256 | lm loss: 2.252956E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.560 | TFLOPs: 19.27 | 31: iteration 12200/ 23189 | consumed samples: 3123200 | consumed tokens: 6396313600 | elapsed time per iteration (s): 0.83 | learning rate: 1.040E-04 | global batch size: 256 | lm loss: 2.284408E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.688 | TFLOPs: 18.74 | 31: iteration 12210/ 23189 | consumed samples: 3125760 | consumed tokens: 6401556480 | elapsed time per iteration (s): 0.84 | learning rate: 1.039E-04 | global batch size: 256 | lm loss: 2.282248E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.211 | TFLOPs: 18.34 | 31: iteration 12220/ 23189 | consumed samples: 3128320 | consumed tokens: 6406799360 | elapsed time per iteration (s): 0.91 | learning rate: 1.037E-04 | global batch size: 256 | lm loss: 2.270275E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 281.697 | TFLOPs: 17.04 | 31: iteration 12230/ 23189 | consumed samples: 3130880 | consumed tokens: 6412042240 | elapsed time per iteration (s): 0.81 | learning rate: 1.036E-04 | global batch size: 256 | lm loss: 2.272390E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.479 | TFLOPs: 19.15 | 31: iteration 12240/ 23189 | consumed samples: 3133440 | consumed tokens: 6417285120 | elapsed time per iteration (s): 0.80 | learning rate: 1.035E-04 | global batch size: 256 | lm loss: 2.239860E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.706 | TFLOPs: 19.46 | 31: iteration 12250/ 23189 | consumed samples: 3136000 | consumed tokens: 6422528000 | elapsed time per iteration (s): 0.78 | learning rate: 1.034E-04 | global batch size: 256 | lm loss: 2.269588E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.560 | TFLOPs: 19.82 | 31: iteration 12260/ 23189 | consumed samples: 3138560 | consumed tokens: 6427770880 | elapsed time per iteration (s): 0.87 | learning rate: 1.032E-04 | global batch size: 256 | lm loss: 2.271213E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 293.870 | TFLOPs: 17.78 | 31: iteration 12270/ 23189 | consumed samples: 3141120 | consumed tokens: 6433013760 | elapsed time per iteration (s): 0.84 | learning rate: 1.031E-04 | global batch size: 256 | lm loss: 2.272777E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 304.965 | TFLOPs: 18.45 | 31: iteration 12280/ 23189 | consumed samples: 3143680 | consumed tokens: 6438256640 | elapsed time per iteration (s): 0.85 | learning rate: 1.030E-04 | global batch size: 256 | lm loss: 2.267857E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 302.184 | TFLOPs: 18.28 | 31: iteration 12290/ 23189 | consumed samples: 3146240 | consumed tokens: 6443499520 | elapsed time per iteration (s): 0.79 | learning rate: 1.029E-04 | global batch size: 256 | lm loss: 2.276751E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.516 | TFLOPs: 19.51 | 31: iteration 12300/ 23189 | consumed samples: 3148800 | consumed tokens: 6448742400 | elapsed time per iteration (s): 0.74 | learning rate: 1.027E-04 | global batch size: 256 | lm loss: 2.265987E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.589 | TFLOPs: 21.03 | 31: iteration 12310/ 23189 | consumed samples: 3151360 | consumed tokens: 6453985280 | elapsed time per iteration (s): 0.77 | learning rate: 1.026E-04 | global batch size: 256 | lm loss: 2.286927E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.198 | TFLOPs: 20.04 | 31: iteration 12320/ 23189 | consumed samples: 3153920 | consumed tokens: 6459228160 | elapsed time per iteration (s): 0.76 | learning rate: 1.025E-04 | global batch size: 256 | lm loss: 2.251727E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.537 | TFLOPs: 20.42 | 31: iteration 12330/ 23189 | consumed samples: 3156480 | consumed tokens: 6464471040 | elapsed time per iteration (s): 0.78 | learning rate: 1.024E-04 | global batch size: 256 | lm loss: 2.289441E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.185 | TFLOPs: 19.98 | 31: iteration 12340/ 23189 | consumed samples: 3159040 | consumed tokens: 6469713920 | elapsed time per iteration (s): 0.75 | learning rate: 1.023E-04 | global batch size: 256 | lm loss: 2.275690E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.273 | TFLOPs: 20.71 | 31: iteration 12350/ 23189 | consumed samples: 3161600 | consumed tokens: 6474956800 | elapsed time per iteration (s): 0.76 | learning rate: 1.021E-04 | global batch size: 256 | lm loss: 2.270679E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.393 | TFLOPs: 20.41 | 31: iteration 12360/ 23189 | consumed samples: 3164160 | consumed tokens: 6480199680 | elapsed time per iteration (s): 0.77 | learning rate: 1.020E-04 | global batch size: 256 | lm loss: 2.343248E+00 | grad norm: 45.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.618 | TFLOPs: 20.18 | 31: iteration 12370/ 23189 | consumed samples: 3166720 | consumed tokens: 6485442560 | elapsed time per iteration (s): 0.73 | learning rate: 1.019E-04 | global batch size: 256 | lm loss: 2.280027E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.737 | TFLOPs: 21.16 | 31: iteration 12380/ 23189 | consumed samples: 3169280 | consumed tokens: 6490685440 | elapsed time per iteration (s): 0.79 | learning rate: 1.018E-04 | global batch size: 256 | lm loss: 2.284453E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.294 | TFLOPs: 19.68 | 31: iteration 12390/ 23189 | consumed samples: 3171840 | consumed tokens: 6495928320 | elapsed time per iteration (s): 0.77 | learning rate: 1.016E-04 | global batch size: 256 | lm loss: 2.245773E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.692 | TFLOPs: 20.19 | 31: iteration 12400/ 23189 | consumed samples: 3174400 | consumed tokens: 6501171200 | elapsed time per iteration (s): 0.74 | learning rate: 1.015E-04 | global batch size: 256 | lm loss: 2.294291E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.582 | TFLOPs: 20.91 | 31: iteration 12410/ 23189 | consumed samples: 3176960 | consumed tokens: 6506414080 | elapsed time per iteration (s): 0.71 | learning rate: 1.014E-04 | global batch size: 256 | lm loss: 2.296663E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.488 | TFLOPs: 21.69 | 31: iteration 12420/ 23189 | consumed samples: 3179520 | consumed tokens: 6511656960 | elapsed time per iteration (s): 0.76 | learning rate: 1.013E-04 | global batch size: 256 | lm loss: 2.265936E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.764 | TFLOPs: 20.49 | 31: iteration 12430/ 23189 | consumed samples: 3182080 | consumed tokens: 6516899840 | elapsed time per iteration (s): 0.74 | learning rate: 1.012E-04 | global batch size: 256 | lm loss: 2.274807E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.325 | TFLOPs: 20.95 | 31: iteration 12440/ 23189 | consumed samples: 3184640 | consumed tokens: 6522142720 | elapsed time per iteration (s): 0.76 | learning rate: 1.010E-04 | global batch size: 256 | lm loss: 2.247521E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.339 | TFLOPs: 20.47 | 31: iteration 12450/ 23189 | consumed samples: 3187200 | consumed tokens: 6527385600 | elapsed time per iteration (s): 0.75 | learning rate: 1.009E-04 | global batch size: 256 | lm loss: 2.267432E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.446 | TFLOPs: 20.66 | 31: iteration 12460/ 23189 | consumed samples: 3189760 | consumed tokens: 6532628480 | elapsed time per iteration (s): 0.76 | learning rate: 1.008E-04 | global batch size: 256 | lm loss: 2.295716E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.559 | TFLOPs: 20.30 | 31: iteration 12470/ 23189 | consumed samples: 3192320 | consumed tokens: 6537871360 | elapsed time per iteration (s): 0.76 | learning rate: 1.007E-04 | global batch size: 256 | lm loss: 2.266407E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.516 | TFLOPs: 20.30 | 31: iteration 12480/ 23189 | consumed samples: 3194880 | consumed tokens: 6543114240 | elapsed time per iteration (s): 0.76 | learning rate: 1.005E-04 | global batch size: 256 | lm loss: 2.243024E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.090 | TFLOPs: 20.33 | 31: iteration 12490/ 23189 | consumed samples: 3197440 | consumed tokens: 6548357120 | elapsed time per iteration (s): 0.83 | learning rate: 1.004E-04 | global batch size: 256 | lm loss: 2.241454E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.753 | TFLOPs: 18.74 | 31: iteration 12500/ 23189 | consumed samples: 3200000 | consumed tokens: 6553600000 | elapsed time per iteration (s): 0.77 | learning rate: 1.003E-04 | global batch size: 256 | lm loss: 2.243098E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.624 | TFLOPs: 20.00 | 31: iteration 12510/ 23189 | consumed samples: 3202560 | consumed tokens: 6558842880 | elapsed time per iteration (s): 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TFLOPs: 21.73 | 31: iteration 12600/ 23189 | consumed samples: 3225600 | consumed tokens: 6606028800 | elapsed time per iteration (s): 0.78 | learning rate: 9.907E-05 | global batch size: 256 | lm loss: 2.259586E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.145 | TFLOPs: 19.73 | 31: iteration 12610/ 23189 | consumed samples: 3228160 | consumed tokens: 6611271680 | elapsed time per iteration (s): 0.75 | learning rate: 9.895E-05 | global batch size: 256 | lm loss: 2.254112E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.960 | TFLOPs: 20.63 | 31: iteration 12620/ 23189 | consumed samples: 3230720 | consumed tokens: 6616514560 | elapsed time per iteration (s): 0.75 | learning rate: 9.883E-05 | global batch size: 256 | lm loss: 2.233675E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.179 | TFLOPs: 20.58 | 31: iteration 12630/ 23189 | consumed samples: 3233280 | consumed tokens: 6621757440 | elapsed time per iteration (s): 0.76 | learning rate: 9.871E-05 | global batch size: 256 | lm loss: 2.288111E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.685 | TFLOPs: 20.37 | 31: iteration 12640/ 23189 | consumed samples: 3235840 | consumed tokens: 6627000320 | elapsed time per iteration (s): 0.76 | learning rate: 9.858E-05 | global batch size: 256 | lm loss: 2.265794E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.673 | TFLOPs: 20.25 | 31: iteration 12650/ 23189 | consumed samples: 3238400 | consumed tokens: 6632243200 | elapsed time per iteration (s): 0.74 | learning rate: 9.846E-05 | global batch size: 256 | lm loss: 2.244226E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.145 | TFLOPs: 21.06 | 31: iteration 12660/ 23189 | consumed samples: 3240960 | consumed tokens: 6637486080 | elapsed time per iteration (s): 0.77 | learning rate: 9.834E-05 | global batch size: 256 | lm loss: 2.254929E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.340 | TFLOPs: 20.23 | 31: iteration 12670/ 23189 | consumed samples: 3243520 | consumed tokens: 6642728960 | elapsed time per iteration (s): 0.77 | learning rate: 9.822E-05 | global batch size: 256 | lm loss: 2.254005E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.352 | TFLOPs: 20.17 | 31: iteration 12680/ 23189 | consumed samples: 3246080 | consumed tokens: 6647971840 | elapsed time per iteration (s): 0.72 | learning rate: 9.809E-05 | global batch size: 256 | lm loss: 2.284231E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.396 | TFLOPs: 21.38 | 31: iteration 12690/ 23189 | consumed samples: 3248640 | consumed tokens: 6653214720 | elapsed time per iteration (s): 0.75 | learning rate: 9.797E-05 | global batch size: 256 | lm loss: 2.246335E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.085 | TFLOPs: 20.57 | 31: iteration 12700/ 23189 | consumed samples: 3251200 | consumed tokens: 6658457600 | elapsed time per iteration (s): 0.74 | learning rate: 9.785E-05 | global batch size: 256 | lm loss: 2.261196E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.360 | TFLOPs: 20.89 | 31: iteration 12710/ 23189 | consumed samples: 3253760 | consumed tokens: 6663700480 | elapsed time per iteration (s): 0.74 | learning rate: 9.773E-05 | global batch size: 256 | lm loss: 2.248215E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.790 | TFLOPs: 20.80 | 31: iteration 12720/ 23189 | consumed samples: 3256320 | consumed tokens: 6668943360 | elapsed time per iteration (s): 0.72 | learning rate: 9.761E-05 | global batch size: 256 | lm loss: 2.243914E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.846 | TFLOPs: 21.65 | 31: iteration 12730/ 23189 | consumed samples: 3258880 | consumed tokens: 6674186240 | elapsed time per iteration (s): 0.76 | learning rate: 9.748E-05 | global batch size: 256 | lm loss: 2.235948E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.484 | TFLOPs: 20.36 | 31: iteration 12740/ 23189 | consumed samples: 3261440 | consumed tokens: 6679429120 | elapsed time per iteration (s): 0.74 | learning rate: 9.736E-05 | global batch size: 256 | lm loss: 2.246840E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.267 | TFLOPs: 20.95 | 31: iteration 12750/ 23189 | consumed samples: 3264000 | consumed tokens: 6684672000 | elapsed time per iteration (s): 0.73 | learning rate: 9.724E-05 | global batch size: 256 | lm loss: 2.284048E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.057 | TFLOPs: 21.18 | 31: iteration 12760/ 23189 | consumed samples: 3266560 | consumed tokens: 6689914880 | elapsed time per iteration (s): 0.71 | learning rate: 9.712E-05 | global batch size: 256 | lm loss: 2.257360E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.922 | TFLOPs: 21.90 | 31: iteration 12770/ 23189 | consumed samples: 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iteration 12800/ 23189 | consumed samples: 3276800 | consumed tokens: 6710886400 | elapsed time per iteration (s): 0.82 | learning rate: 9.663E-05 | global batch size: 256 | lm loss: 2.266298E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.377 | TFLOPs: 18.96 | 31: iteration 12810/ 23189 | consumed samples: 3279360 | consumed tokens: 6716129280 | elapsed time per iteration (s): 0.85 | learning rate: 9.651E-05 | global batch size: 256 | lm loss: 2.259771E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 301.386 | TFLOPs: 18.23 | 31: iteration 12820/ 23189 | consumed samples: 3281920 | consumed tokens: 6721372160 | elapsed time per iteration (s): 0.80 | learning rate: 9.639E-05 | global batch size: 256 | lm loss: 2.251294E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.886 | TFLOPs: 19.41 | 31: iteration 12830/ 23189 | consumed samples: 3284480 | consumed tokens: 6726615040 | elapsed time per iteration (s): 0.82 | learning rate: 9.627E-05 | global batch size: 256 | lm loss: 2.255203E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.061 | TFLOPs: 19.00 | 31: iteration 12840/ 23189 | consumed samples: 3287040 | consumed tokens: 6731857920 | elapsed time per iteration (s): 0.79 | learning rate: 9.614E-05 | global batch size: 256 | lm loss: 2.253361E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.005 | TFLOPs: 19.72 | 31: iteration 12850/ 23189 | consumed samples: 3289600 | consumed tokens: 6737100800 | elapsed time per iteration (s): 0.79 | learning rate: 9.602E-05 | global batch size: 256 | lm loss: 2.215330E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.942 | TFLOPs: 19.66 | 31: iteration 12860/ 23189 | consumed samples: 3292160 | consumed tokens: 6742343680 | elapsed time per iteration (s): 0.83 | learning rate: 9.590E-05 | global batch size: 256 | lm loss: 2.246160E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.006 | TFLOPs: 18.63 | 31: iteration 12870/ 23189 | consumed samples: 3294720 | consumed tokens: 6747586560 | elapsed time per iteration (s): 0.76 | learning rate: 9.578E-05 | global batch size: 256 | lm loss: 2.244793E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.550 | TFLOPs: 20.48 | 31: iteration 12880/ 23189 | consumed samples: 3297280 | consumed tokens: 6752829440 | elapsed time per iteration (s): 0.78 | learning rate: 9.566E-05 | global batch size: 256 | lm loss: 2.262477E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.068 | TFLOPs: 19.97 | 31: iteration 12890/ 23189 | consumed samples: 3299840 | consumed tokens: 6758072320 | elapsed time per iteration (s): 0.75 | learning rate: 9.554E-05 | global batch size: 256 | lm loss: 2.263372E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.435 | TFLOPs: 20.78 | 31: iteration 12900/ 23189 | consumed samples: 3302400 | consumed tokens: 6763315200 | elapsed time per iteration (s): 0.78 | learning rate: 9.541E-05 | global batch size: 256 | lm loss: 2.255859E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.826 | TFLOPs: 19.89 | 31: iteration 12910/ 23189 | consumed samples: 3304960 | consumed tokens: 6768558080 | elapsed time per iteration (s): 0.80 | learning rate: 9.529E-05 | global batch size: 256 | lm loss: 2.255731E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.728 | TFLOPs: 19.34 | 31: iteration 12920/ 23189 | consumed samples: 3307520 | consumed tokens: 6773800960 | elapsed time per iteration (s): 0.82 | learning rate: 9.517E-05 | global batch size: 256 | lm loss: 2.294022E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.681 | TFLOPs: 18.86 | 31: iteration 12930/ 23189 | consumed samples: 3310080 | consumed tokens: 6779043840 | elapsed time per iteration (s): 0.79 | learning rate: 9.505E-05 | global batch size: 256 | lm loss: 2.265966E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.697 | TFLOPs: 19.52 | 31: iteration 12940/ 23189 | consumed samples: 3312640 | consumed tokens: 6784286720 | elapsed time per iteration (s): 0.77 | learning rate: 9.493E-05 | global batch size: 256 | lm loss: 2.267234E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.288 | TFLOPs: 20.16 | 31: iteration 12950/ 23189 | consumed samples: 3315200 | consumed tokens: 6789529600 | elapsed time per iteration (s): 0.78 | learning rate: 9.481E-05 | global batch size: 256 | lm loss: 2.246830E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.598 | TFLOPs: 19.88 | 31: iteration 12960/ 23189 | consumed samples: 3317760 | consumed tokens: 6794772480 | elapsed time per iteration (s): 0.72 | learning rate: 9.469E-05 | global batch size: 256 | lm loss: 2.226095E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.475 | TFLOPs: 21.44 | 31: iteration 12970/ 23189 | consumed samples: 3320320 | consumed tokens: 6800015360 | elapsed time per iteration (s): 0.75 | learning rate: 9.456E-05 | global batch size: 256 | lm loss: 2.237548E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.452 | TFLOPs: 20.72 | 31: iteration 12980/ 23189 | consumed samples: 3322880 | consumed tokens: 6805258240 | elapsed time per iteration (s): 0.82 | learning rate: 9.444E-05 | global batch size: 256 | lm loss: 2.270045E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.855 | TFLOPs: 18.87 | 31: iteration 12990/ 23189 | consumed samples: 3325440 | consumed tokens: 6810501120 | elapsed time per iteration (s): 0.76 | learning rate: 9.432E-05 | global batch size: 256 | lm loss: 2.222895E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.876 | TFLOPs: 20.44 | 31: iteration 13000/ 23189 | consumed samples: 3328000 | consumed tokens: 6815744000 | elapsed time per iteration (s): 0.72 | learning rate: 9.420E-05 | global batch size: 256 | lm loss: 2.262633E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.834 | TFLOPs: 21.53 | 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 13000 | lm loss value: 2.213075E+00 | lm loss PPL: 9.143790E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 13010/ 23189 | consumed samples: 3330560 | consumed tokens: 6820986880 | elapsed time per iteration (s): 0.80 | learning rate: 9.408E-05 | global batch size: 256 | lm loss: 2.269139E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.507 | TFLOPs: 19.33 | 31: iteration 13020/ 23189 | consumed samples: 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samples per second: 347.493 | TFLOPs: 21.02 | 31: iteration 13080/ 23189 | consumed samples: 3348480 | consumed tokens: 6857687040 | elapsed time per iteration (s): 0.75 | learning rate: 9.323E-05 | global batch size: 256 | lm loss: 2.276958E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.660 | TFLOPs: 20.61 | 31: iteration 13090/ 23189 | consumed samples: 3351040 | consumed tokens: 6862929920 | elapsed time per iteration (s): 0.74 | learning rate: 9.311E-05 | global batch size: 256 | lm loss: 2.244787E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.787 | TFLOPs: 20.92 | 31: iteration 13100/ 23189 | consumed samples: 3353600 | consumed tokens: 6868172800 | elapsed time per iteration (s): 0.77 | learning rate: 9.299E-05 | global batch size: 256 | lm loss: 2.277504E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.849 | TFLOPs: 20.14 | 31: iteration 13110/ 23189 | consumed samples: 3356160 | consumed tokens: 6873415680 | elapsed time per iteration (s): 0.79 | learning rate: 9.287E-05 | global batch size: 256 | lm loss: 2.245977E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.235 | TFLOPs: 19.68 | 31: iteration 13120/ 23189 | consumed samples: 3358720 | consumed tokens: 6878658560 | elapsed time per iteration (s): 0.80 | learning rate: 9.275E-05 | global batch size: 256 | lm loss: 2.254644E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.668 | TFLOPs: 19.46 | 31: iteration 13130/ 23189 | consumed samples: 3361280 | consumed tokens: 6883901440 | elapsed time per iteration (s): 0.76 | learning rate: 9.263E-05 | global batch size: 256 | lm loss: 2.231676E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.395 | TFLOPs: 20.47 | 31: iteration 13140/ 23189 | consumed samples: 3363840 | consumed tokens: 6889144320 | elapsed time per iteration (s): 0.76 | learning rate: 9.251E-05 | global batch size: 256 | lm loss: 2.209483E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.226 | TFLOPs: 20.34 | 31: iteration 13150/ 23189 | consumed samples: 3366400 | consumed tokens: 6894387200 | elapsed time per iteration (s): 0.82 | learning rate: 9.239E-05 | global batch size: 256 | lm loss: 2.257500E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.587 | TFLOPs: 18.97 | 31: iteration 13160/ 23189 | consumed samples: 3368960 | consumed tokens: 6899630080 | elapsed time per iteration (s): 0.74 | learning rate: 9.226E-05 | global batch size: 256 | lm loss: 2.259814E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.945 | TFLOPs: 20.87 | 31: iteration 13170/ 23189 | consumed samples: 3371520 | consumed tokens: 6904872960 | elapsed time per iteration (s): 0.79 | learning rate: 9.214E-05 | global batch size: 256 | lm loss: 2.250556E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.588 | TFLOPs: 19.70 | 31: iteration 13180/ 23189 | consumed samples: 3374080 | consumed tokens: 6910115840 | elapsed time per iteration (s): 0.81 | learning rate: 9.202E-05 | global batch size: 256 | lm loss: 2.220045E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.027 | TFLOPs: 19.18 | 31: iteration 13190/ 23189 | consumed samples: 3376640 | consumed tokens: 6915358720 | elapsed time per iteration (s): 0.80 | learning rate: 9.190E-05 | global batch size: 256 | lm loss: 2.259203E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.510 | TFLOPs: 19.33 | 31: iteration 13200/ 23189 | consumed samples: 3379200 | consumed tokens: 6920601600 | elapsed time per iteration (s): 0.79 | learning rate: 9.178E-05 | global batch size: 256 | lm loss: 2.247867E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.802 | TFLOPs: 19.53 | 31: iteration 13210/ 23189 | consumed samples: 3381760 | consumed tokens: 6925844480 | elapsed time per iteration (s): 0.81 | learning rate: 9.166E-05 | global batch size: 256 | lm loss: 2.219542E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.000 | TFLOPs: 19.12 | 31: iteration 13220/ 23189 | consumed samples: 3384320 | consumed tokens: 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consumed samples: 3392000 | consumed tokens: 6946816000 | elapsed time per iteration (s): 0.71 | learning rate: 9.118E-05 | global batch size: 256 | lm loss: 2.255692E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.600 | TFLOPs: 21.94 | 31: iteration 13260/ 23189 | consumed samples: 3394560 | consumed tokens: 6952058880 | elapsed time per iteration (s): 0.75 | learning rate: 9.106E-05 | global batch size: 256 | lm loss: 2.265373E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.559 | TFLOPs: 20.78 | 31: iteration 13270/ 23189 | consumed samples: 3397120 | consumed tokens: 6957301760 | elapsed time per iteration (s): 0.73 | learning rate: 9.094E-05 | global batch size: 256 | lm loss: 2.267045E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.260 | TFLOPs: 21.13 | 31: iteration 13280/ 23189 | consumed samples: 3399680 | consumed tokens: 6962544640 | elapsed time per iteration (s): 0.74 | learning rate: 9.082E-05 | global batch size: 256 | lm loss: 2.222655E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.809 | TFLOPs: 20.92 | 31: iteration 13290/ 23189 | consumed samples: 3402240 | consumed tokens: 6967787520 | elapsed time per iteration (s): 0.70 | learning rate: 9.070E-05 | global batch size: 256 | lm loss: 2.267711E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.769 | TFLOPs: 22.01 | 31: iteration 13300/ 23189 | consumed samples: 3404800 | consumed tokens: 6973030400 | elapsed time per iteration (s): 0.73 | learning rate: 9.058E-05 | global batch size: 256 | lm loss: 2.257984E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.994 | TFLOPs: 21.29 | 31: iteration 13310/ 23189 | consumed samples: 3407360 | consumed tokens: 6978273280 | elapsed time per iteration (s): 0.71 | learning rate: 9.046E-05 | global batch size: 256 | lm loss: 2.259425E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.912 | TFLOPs: 21.77 | 31: iteration 13320/ 23189 | consumed samples: 3409920 | consumed tokens: 6983516160 | elapsed time per iteration (s): 0.79 | learning rate: 9.034E-05 | global batch size: 256 | lm loss: 2.242785E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.777 | TFLOPs: 19.59 | 31: iteration 13330/ 23189 | consumed samples: 3412480 | consumed tokens: 6988759040 | elapsed time per iteration (s): 0.74 | learning rate: 9.022E-05 | global batch size: 256 | lm loss: 2.242634E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.528 | TFLOPs: 20.90 | 31: iteration 13340/ 23189 | consumed samples: 3415040 | consumed tokens: 6994001920 | elapsed time per iteration (s): 0.72 | learning rate: 9.010E-05 | global batch size: 256 | lm loss: 2.244005E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.889 | TFLOPs: 21.59 | 31: iteration 13350/ 23189 | consumed samples: 3417600 | consumed tokens: 6999244800 | elapsed time per iteration (s): 0.75 | learning rate: 8.998E-05 | global batch size: 256 | lm loss: 2.240891E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.449 | TFLOPs: 20.72 | 31: iteration 13360/ 23189 | consumed samples: 3420160 | consumed tokens: 7004487680 | elapsed time per iteration (s): 0.74 | learning rate: 8.986E-05 | global batch size: 256 | lm loss: 2.250598E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.650 | TFLOPs: 20.85 | 31: iteration 13370/ 23189 | consumed samples: 3422720 | consumed tokens: 7009730560 | elapsed time per iteration (s): 0.78 | learning rate: 8.974E-05 | global batch size: 256 | lm loss: 2.247320E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.077 | TFLOPs: 19.91 | 31: iteration 13380/ 23189 | consumed samples: 3425280 | consumed tokens: 7014973440 | elapsed time per iteration (s): 0.75 | learning rate: 8.962E-05 | global batch size: 256 | lm loss: 2.242891E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.961 | TFLOPs: 20.69 | 31: iteration 13390/ 23189 | consumed samples: 3427840 | consumed tokens: 7020216320 | elapsed time per iteration (s): 0.80 | learning rate: 8.950E-05 | global batch size: 256 | lm loss: 2.250731E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.140 | TFLOPs: 19.25 | 31: iteration 13400/ 23189 | consumed samples: 3430400 | consumed tokens: 7025459200 | elapsed time per iteration (s): 0.73 | learning rate: 8.938E-05 | global batch size: 256 | lm loss: 2.252728E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.754 | TFLOPs: 21.22 | 31: iteration 13410/ 23189 | consumed samples: 3432960 | consumed tokens: 7030702080 | elapsed time per iteration (s): 0.75 | learning rate: 8.926E-05 | global batch size: 256 | lm loss: 2.275499E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.512 | TFLOPs: 20.54 | 31: iteration 13420/ 23189 | consumed samples: 3435520 | consumed tokens: 7035944960 | elapsed time per iteration (s): 0.75 | learning rate: 8.914E-05 | global batch size: 256 | lm loss: 2.284768E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.135 | TFLOPs: 20.58 | 31: iteration 13430/ 23189 | consumed samples: 3438080 | consumed tokens: 7041187840 | elapsed time per iteration (s): 0.75 | learning rate: 8.902E-05 | global batch size: 256 | lm loss: 2.232886E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.363 | TFLOPs: 20.59 | 31: iteration 13440/ 23189 | consumed samples: 3440640 | consumed tokens: 7046430720 | elapsed time per iteration (s): 0.76 | learning rate: 8.890E-05 | global batch size: 256 | lm loss: 2.244966E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.465 | TFLOPs: 20.36 | 31: iteration 13450/ 23189 | consumed samples: 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iteration 13480/ 23189 | consumed samples: 3450880 | consumed tokens: 7067402240 | elapsed time per iteration (s): 0.77 | learning rate: 8.842E-05 | global batch size: 256 | lm loss: 2.240727E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.523 | TFLOPs: 20.12 | 31: iteration 13490/ 23189 | consumed samples: 3453440 | consumed tokens: 7072645120 | elapsed time per iteration (s): 0.78 | learning rate: 8.830E-05 | global batch size: 256 | lm loss: 2.231479E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.713 | TFLOPs: 19.77 | 31: iteration 13500/ 23189 | consumed samples: 3456000 | consumed tokens: 7077888000 | elapsed time per iteration (s): 0.76 | learning rate: 8.818E-05 | global batch size: 256 | lm loss: 2.223579E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.067 | TFLOPs: 20.33 | 31: iteration 13510/ 23189 | consumed samples: 3458560 | consumed tokens: 7083130880 | elapsed time per iteration (s): 0.71 | learning rate: 8.806E-05 | global batch size: 256 | lm loss: 2.262821E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.898 | TFLOPs: 21.77 | 31: iteration 13520/ 23189 | consumed samples: 3461120 | consumed tokens: 7088373760 | elapsed time per iteration (s): 0.79 | learning rate: 8.794E-05 | global batch size: 256 | lm loss: 2.264740E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.275 | TFLOPs: 19.56 | 31: iteration 13530/ 23189 | consumed samples: 3463680 | consumed tokens: 7093616640 | elapsed time per iteration (s): 0.76 | learning rate: 8.782E-05 | global batch size: 256 | lm loss: 2.232599E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.009 | TFLOPs: 20.45 | 31: iteration 13540/ 23189 | consumed samples: 3466240 | consumed tokens: 7098859520 | elapsed time per iteration (s): 0.77 | learning rate: 8.770E-05 | global batch size: 256 | lm loss: 2.269175E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.900 | TFLOPs: 20.02 | 31: iteration 13550/ 23189 | consumed samples: 3468800 | consumed tokens: 7104102400 | elapsed time per iteration (s): 0.75 | learning rate: 8.758E-05 | global batch size: 256 | lm loss: 2.249890E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.519 | TFLOPs: 20.72 | 31: iteration 13560/ 23189 | consumed samples: 3471360 | consumed tokens: 7109345280 | elapsed time per iteration (s): 0.72 | learning rate: 8.746E-05 | global batch size: 256 | lm loss: 2.239391E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.130 | TFLOPs: 21.48 | 31: iteration 13570/ 23189 | consumed samples: 3473920 | consumed tokens: 7114588160 | elapsed time per iteration (s): 0.75 | learning rate: 8.734E-05 | global batch size: 256 | lm loss: 2.257633E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.858 | TFLOPs: 20.68 | 31: iteration 13580/ 23189 | consumed samples: 3476480 | consumed tokens: 7119831040 | elapsed time per iteration (s): 0.74 | learning rate: 8.723E-05 | global batch size: 256 | lm loss: 2.246535E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.788 | TFLOPs: 20.98 | 31: iteration 13590/ 23189 | consumed samples: 3479040 | consumed tokens: 7125073920 | elapsed time per iteration (s): 0.76 | learning rate: 8.711E-05 | global batch size: 256 | lm loss: 2.235660E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.045 | TFLOPs: 20.51 | 31: iteration 13600/ 23189 | consumed samples: 3481600 | consumed tokens: 7130316800 | elapsed time per iteration (s): 0.85 | learning rate: 8.699E-05 | global batch size: 256 | lm loss: 2.283953E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 302.533 | TFLOPs: 18.30 | 31: iteration 13610/ 23189 | consumed samples: 3484160 | consumed tokens: 7135559680 | elapsed time per iteration (s): 0.83 | learning rate: 8.687E-05 | global batch size: 256 | lm loss: 2.250538E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.005 | TFLOPs: 18.69 | 31: iteration 13620/ 23189 | consumed samples: 3486720 | consumed tokens: 7140802560 | elapsed time per iteration (s): 0.87 | learning rate: 8.675E-05 | global batch size: 256 | lm loss: 2.231701E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 292.816 | TFLOPs: 17.71 | 31: iteration 13630/ 23189 | consumed samples: 3489280 | consumed tokens: 7146045440 | elapsed time per iteration (s): 0.79 | learning rate: 8.663E-05 | global batch size: 256 | lm loss: 2.252576E+00 | grad norm: 0.377 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.185 | TFLOPs: 19.61 | 31: iteration 13640/ 23189 | consumed samples: 3491840 | consumed tokens: 7151288320 | elapsed time per iteration (s): 0.75 | learning rate: 8.651E-05 | global batch size: 256 | lm loss: 2.227962E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.940 | TFLOPs: 20.63 | 31: iteration 13650/ 23189 | consumed samples: 3494400 | consumed tokens: 7156531200 | elapsed time per iteration (s): 0.73 | learning rate: 8.639E-05 | global batch size: 256 | lm loss: 2.263389E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.441 | TFLOPs: 21.20 | 31: iteration 13660/ 23189 | consumed samples: 3496960 | consumed tokens: 7161774080 | elapsed time per iteration (s): 0.80 | learning rate: 8.627E-05 | global batch size: 256 | lm loss: 2.242707E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.106 | TFLOPs: 19.37 | 31: iteration 13670/ 23189 | consumed samples: 3499520 | consumed tokens: 7167016960 | elapsed time per iteration (s): 0.75 | learning rate: 8.615E-05 | global batch size: 256 | lm loss: 2.266709E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.791 | TFLOPs: 20.56 | 31: iteration 13680/ 23189 | consumed samples: 3502080 | consumed tokens: 7172259840 | elapsed time per iteration (s): 0.77 | learning rate: 8.604E-05 | global batch size: 256 | lm loss: 2.259017E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.440 | TFLOPs: 20.11 | 31: iteration 13690/ 23189 | consumed samples: 3504640 | consumed tokens: 7177502720 | elapsed time per iteration (s): 0.77 | learning rate: 8.592E-05 | global batch size: 256 | lm loss: 2.268261E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.834 | TFLOPs: 20.14 | 31: iteration 13700/ 23189 | consumed samples: 3507200 | consumed tokens: 7182745600 | elapsed time per iteration (s): 0.77 | learning rate: 8.580E-05 | global batch size: 256 | lm loss: 2.281433E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.621 | TFLOPs: 20.12 | 31: iteration 13710/ 23189 | consumed samples: 3509760 | consumed tokens: 7187988480 | elapsed time per iteration (s): 0.76 | learning rate: 8.568E-05 | global batch size: 256 | lm loss: 2.246531E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.393 | TFLOPs: 20.29 | 31: iteration 13720/ 23189 | consumed samples: 3512320 | consumed tokens: 7193231360 | elapsed time per iteration (s): 0.76 | learning rate: 8.556E-05 | global batch size: 256 | lm loss: 2.222680E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.195 | TFLOPs: 20.34 | 31: iteration 13730/ 23189 | consumed samples: 3514880 | consumed tokens: 7198474240 | elapsed time per iteration (s): 0.70 | learning rate: 8.544E-05 | global batch size: 256 | lm loss: 2.253008E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.126 | TFLOPs: 21.97 | 31: iteration 13740/ 23189 | consumed samples: 3517440 | consumed tokens: 7203717120 | elapsed time per iteration (s): 0.74 | learning rate: 8.532E-05 | global batch size: 256 | lm loss: 2.258060E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.505 | TFLOPs: 20.84 | 31: iteration 13750/ 23189 | consumed samples: 3520000 | consumed tokens: 7208960000 | elapsed time per iteration (s): 0.74 | learning rate: 8.521E-05 | global batch size: 256 | lm loss: 2.251719E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.178 | TFLOPs: 21.00 | 31: iteration 13760/ 23189 | consumed samples: 3522560 | consumed tokens: 7214202880 | elapsed time per iteration (s): 0.76 | learning rate: 8.509E-05 | global batch size: 256 | lm loss: 2.223360E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.825 | TFLOPs: 20.50 | 31: iteration 13770/ 23189 | consumed samples: 3525120 | consumed tokens: 7219445760 | elapsed time per iteration (s): 0.81 | learning rate: 8.497E-05 | global batch size: 256 | lm loss: 2.282950E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.736 | TFLOPs: 19.04 | 31: iteration 13780/ 23189 | consumed samples: 3527680 | consumed tokens: 7224688640 | elapsed time per iteration (s): 0.80 | learning rate: 8.485E-05 | global batch size: 256 | lm loss: 2.225441E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.135 | TFLOPs: 19.43 | 31: iteration 13790/ 23189 | consumed samples: 3530240 | consumed tokens: 7229931520 | elapsed time per iteration (s): 0.75 | learning rate: 8.473E-05 | global batch size: 256 | lm loss: 2.256018E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.159 | TFLOPs: 20.76 | 31: iteration 13800/ 23189 | consumed samples: 3532800 | consumed tokens: 7235174400 | elapsed time per iteration (s): 0.75 | learning rate: 8.461E-05 | global batch size: 256 | lm loss: 2.259224E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.934 | TFLOPs: 20.63 | 31: iteration 13810/ 23189 | consumed samples: 3535360 | consumed tokens: 7240417280 | elapsed time per iteration (s): 0.80 | learning rate: 8.450E-05 | global batch size: 256 | lm loss: 2.227117E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.072 | TFLOPs: 19.24 | 31: iteration 13820/ 23189 | consumed samples: 3537920 | consumed tokens: 7245660160 | elapsed time per iteration (s): 0.79 | learning rate: 8.438E-05 | global batch size: 256 | lm loss: 2.237760E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.237 | TFLOPs: 19.56 | 31: iteration 13830/ 23189 | consumed samples: 3540480 | consumed tokens: 7250903040 | elapsed time per iteration (s): 0.80 | learning rate: 8.426E-05 | global batch size: 256 | lm loss: 2.260607E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.566 | TFLOPs: 19.27 | 31: iteration 13840/ 23189 | consumed samples: 3543040 | consumed tokens: 7256145920 | elapsed time per iteration (s): 0.77 | learning rate: 8.414E-05 | global batch size: 256 | lm loss: 2.231318E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.343 | TFLOPs: 19.98 | 31: iteration 13850/ 23189 | consumed samples: 3545600 | consumed tokens: 7261388800 | elapsed time per iteration (s): 0.72 | learning rate: 8.402E-05 | global batch size: 256 | lm loss: 2.254096E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.646 | TFLOPs: 21.39 | 31: iteration 13860/ 23189 | consumed samples: 3548160 | consumed tokens: 7266631680 | elapsed time per iteration (s): 0.74 | learning rate: 8.391E-05 | global batch size: 256 | lm loss: 2.287065E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.029 | TFLOPs: 20.93 | 31: iteration 13870/ 23189 | consumed samples: 3550720 | consumed tokens: 7271874560 | elapsed time per iteration (s): 0.73 | learning rate: 8.379E-05 | global batch size: 256 | lm loss: 2.252845E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.487 | TFLOPs: 21.26 | 31: iteration 13880/ 23189 | consumed samples: 3553280 | consumed tokens: 7277117440 | elapsed time per iteration (s): 0.73 | learning rate: 8.367E-05 | global batch size: 256 | lm loss: 2.212182E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.493 | TFLOPs: 21.32 | 31: iteration 13890/ 23189 | consumed samples: 3555840 | consumed tokens: 7282360320 | elapsed time per iteration (s): 0.73 | learning rate: 8.355E-05 | global batch size: 256 | lm loss: 2.237514E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.205 | TFLOPs: 21.25 | 31: iteration 13900/ 23189 | consumed samples: 3558400 | consumed tokens: 7287603200 | elapsed time per iteration (s): 0.74 | learning rate: 8.344E-05 | global batch size: 256 | lm loss: 2.222653E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.517 | TFLOPs: 20.96 | 31: iteration 13910/ 23189 | consumed samples: 3560960 | consumed tokens: 7292846080 | elapsed time per iteration (s): 0.75 | learning rate: 8.332E-05 | global batch size: 256 | lm loss: 2.258755E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.542 | TFLOPs: 20.72 | 31: iteration 13920/ 23189 | consumed samples: 3563520 | consumed tokens: 7298088960 | elapsed time per iteration (s): 0.74 | learning rate: 8.320E-05 | global batch size: 256 | lm loss: 2.228682E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.458 | TFLOPs: 20.84 | 31: iteration 13930/ 23189 | consumed samples: 3566080 | consumed tokens: 7303331840 | elapsed time per iteration (s): 0.74 | learning rate: 8.308E-05 | global batch size: 256 | lm loss: 2.241079E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.809 | TFLOPs: 20.86 | 31: iteration 13940/ 23189 | consumed samples: 3568640 | consumed tokens: 7308574720 | elapsed time per iteration (s): 0.76 | learning rate: 8.297E-05 | global batch size: 256 | lm loss: 2.263651E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.194 | TFLOPs: 20.40 | 31: iteration 13950/ 23189 | consumed samples: 3571200 | consumed tokens: 7313817600 | elapsed time per iteration (s): 0.72 | learning rate: 8.285E-05 | global batch size: 256 | lm loss: 2.257592E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.104 | TFLOPs: 21.36 | 31: iteration 13960/ 23189 | consumed samples: 3573760 | consumed tokens: 7319060480 | elapsed time per iteration (s): 0.79 | learning rate: 8.273E-05 | global batch size: 256 | lm loss: 2.243391E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.037 | TFLOPs: 19.48 | 31: iteration 13970/ 23189 | consumed samples: 3576320 | consumed tokens: 7324303360 | elapsed time per iteration (s): 0.76 | learning rate: 8.261E-05 | global batch size: 256 | lm loss: 2.230626E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.233 | TFLOPs: 20.28 | 31: iteration 13980/ 23189 | consumed samples: 3578880 | consumed tokens: 7329546240 | elapsed time per iteration (s): 0.78 | learning rate: 8.250E-05 | global batch size: 256 | lm loss: 2.243651E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.676 | TFLOPs: 19.82 | 31: iteration 13990/ 23189 | consumed samples: 3581440 | consumed tokens: 7334789120 | elapsed time per iteration (s): 0.73 | learning rate: 8.238E-05 | global batch size: 256 | lm loss: 2.213757E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.390 | TFLOPs: 21.20 | 0: [2022-11-28 20:53:55,927] [INFO] [logging.py:68:log_dist] [Rank 0] step=14000, skipped=0, lr=[8.226146908797855e-05, 8.226146908797855e-05, 8.226146908797855e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 14000/ 23189 | consumed samples: 3584000 | consumed tokens: 7340032000 | elapsed time per iteration (s): 0.76 | learning rate: 8.226E-05 | global batch size: 256 | lm loss: 2.219296E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.893 | TFLOPs: 20.26 | 0: steps: 14000 loss: 2.2378 iter time (s): 0.764 samples/sec: 335.289 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 14000 | lm loss value: 2.178581E+00 | lm loss PPL: 8.833766E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 14010/ 23189 | consumed samples: 3586560 | consumed tokens: 7345274880 | elapsed time per iteration (s): 0.81 | learning rate: 8.214E-05 | global batch size: 256 | lm loss: 2.274886E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.251 | TFLOPs: 19.07 | 31: iteration 14020/ 23189 | consumed samples: 3589120 | consumed tokens: 7350517760 | elapsed time per iteration (s): 0.84 | learning rate: 8.203E-05 | global batch size: 256 | lm loss: 2.253600E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.641 | TFLOPs: 18.37 | 31: iteration 14030/ 23189 | consumed samples: 3591680 | consumed tokens: 7355760640 | elapsed time per iteration (s): 0.76 | learning rate: 8.191E-05 | global batch size: 256 | lm loss: 2.258738E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.155 | TFLOPs: 20.28 | 31: iteration 14040/ 23189 | consumed samples: 3594240 | consumed tokens: 7361003520 | elapsed time per iteration (s): 0.74 | learning rate: 8.179E-05 | global batch size: 256 | lm loss: 2.231221E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.317 | TFLOPs: 20.89 | 31: iteration 14050/ 23189 | consumed samples: 3596800 | consumed tokens: 7366246400 | elapsed time per iteration (s): 0.80 | learning rate: 8.168E-05 | global batch size: 256 | lm loss: 2.221630E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.588 | TFLOPs: 19.27 | 31: iteration 14060/ 23189 | consumed samples: 3599360 | consumed tokens: 7371489280 | elapsed time per iteration (s): 0.77 | learning rate: 8.156E-05 | global batch size: 256 | lm loss: 2.222982E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.037 | TFLOPs: 20.21 | 31: iteration 14070/ 23189 | consumed samples: 3601920 | consumed tokens: 7376732160 | elapsed time per iteration (s): 0.73 | learning rate: 8.144E-05 | global batch size: 256 | lm loss: 2.205369E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.983 | TFLOPs: 21.17 | 31: iteration 14080/ 23189 | consumed samples: 3604480 | consumed tokens: 7381975040 | elapsed time per iteration (s): 0.75 | learning rate: 8.133E-05 | global batch size: 256 | lm loss: 2.253538E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.625 | TFLOPs: 20.67 | 31: iteration 14090/ 23189 | consumed samples: 3607040 | consumed tokens: 7387217920 | elapsed time per iteration (s): 0.78 | learning rate: 8.121E-05 | global batch size: 256 | lm loss: 2.214814E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.359 | TFLOPs: 19.74 | 31: iteration 14100/ 23189 | consumed samples: 3609600 | consumed tokens: 7392460800 | elapsed time per iteration (s): 0.78 | learning rate: 8.109E-05 | global batch size: 256 | lm loss: 2.244651E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.952 | TFLOPs: 19.90 | 31: iteration 14110/ 23189 | consumed samples: 3612160 | consumed tokens: 7397703680 | elapsed time per iteration (s): 0.81 | learning rate: 8.098E-05 | global batch size: 256 | lm loss: 2.247004E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.635 | TFLOPs: 19.22 | 31: iteration 14120/ 23189 | consumed samples: 3614720 | consumed tokens: 7402946560 | elapsed time per iteration (s): 0.78 | learning rate: 8.086E-05 | global batch size: 256 | lm loss: 2.245697E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.284 | TFLOPs: 19.86 | 31: iteration 14130/ 23189 | consumed samples: 3617280 | consumed tokens: 7408189440 | elapsed time per iteration (s): 0.80 | learning rate: 8.074E-05 | global batch size: 256 | lm loss: 2.263022E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.258 | TFLOPs: 19.44 | 31: iteration 14140/ 23189 | consumed samples: 3619840 | consumed tokens: 7413432320 | elapsed time per iteration (s): 0.83 | learning rate: 8.063E-05 | global batch size: 256 | lm loss: 2.218579E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.343 | TFLOPs: 18.71 | 31: iteration 14150/ 23189 | consumed samples: 3622400 | consumed tokens: 7418675200 | elapsed time per iteration (s): 0.79 | learning rate: 8.051E-05 | global batch size: 256 | lm loss: 2.258476E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.490 | TFLOPs: 19.57 | 31: iteration 14160/ 23189 | consumed samples: 3624960 | consumed tokens: 7423918080 | elapsed time per iteration (s): 0.79 | learning rate: 8.039E-05 | global batch size: 256 | lm loss: 2.269561E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.766 | TFLOPs: 19.59 | 31: iteration 14170/ 23189 | consumed samples: 3627520 | consumed tokens: 7429160960 | elapsed time per iteration (s): 0.78 | learning rate: 8.028E-05 | global batch size: 256 | lm loss: 2.231313E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.160 | TFLOPs: 19.85 | 31: iteration 14180/ 23189 | consumed samples: 3630080 | consumed tokens: 7434403840 | elapsed time per iteration (s): 0.79 | learning rate: 8.016E-05 | global batch size: 256 | lm loss: 2.275057E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.760 | TFLOPs: 19.59 | 31: iteration 14190/ 23189 | consumed samples: 3632640 | consumed tokens: 7439646720 | elapsed time per iteration (s): 0.79 | learning rate: 8.004E-05 | global batch size: 256 | lm loss: 2.237495E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.575 | TFLOPs: 19.64 | 31: iteration 14200/ 23189 | consumed samples: 3635200 | consumed tokens: 7444889600 | elapsed time per iteration (s): 0.79 | learning rate: 7.993E-05 | global batch size: 256 | lm loss: 2.241196E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.894 | TFLOPs: 19.53 | 31: iteration 14210/ 23189 | consumed samples: 3637760 | consumed tokens: 7450132480 | elapsed time per iteration (s): 0.81 | learning rate: 7.981E-05 | global batch size: 256 | lm loss: 2.217432E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.490 | TFLOPs: 19.15 | 31: iteration 14220/ 23189 | consumed samples: 3640320 | consumed tokens: 7455375360 | elapsed time per iteration (s): 0.80 | learning rate: 7.970E-05 | global batch size: 256 | lm loss: 2.251260E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.734 | TFLOPs: 19.34 | 31: iteration 14230/ 23189 | consumed samples: 3642880 | consumed tokens: 7460618240 | elapsed time per iteration (s): 0.75 | learning rate: 7.958E-05 | global batch size: 256 | lm loss: 2.231522E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.623 | TFLOPs: 20.61 | 31: iteration 14240/ 23189 | consumed samples: 3645440 | consumed tokens: 7465861120 | elapsed time per iteration (s): 0.74 | learning rate: 7.946E-05 | global batch size: 256 | lm loss: 2.250588E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.360 | TFLOPs: 20.83 | 31: iteration 14250/ 23189 | consumed samples: 3648000 | consumed tokens: 7471104000 | elapsed time per iteration (s): 0.79 | learning rate: 7.935E-05 | global batch size: 256 | lm loss: 2.247518E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.883 | TFLOPs: 19.72 | 31: iteration 14260/ 23189 | consumed samples: 3650560 | consumed tokens: 7476346880 | elapsed time per iteration (s): 0.75 | learning rate: 7.923E-05 | global batch size: 256 | lm loss: 2.260883E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.227 | TFLOPs: 20.52 | 31: iteration 14270/ 23189 | consumed samples: 3653120 | consumed tokens: 7481589760 | elapsed time per iteration (s): 0.79 | learning rate: 7.912E-05 | global batch size: 256 | lm loss: 2.217830E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.998 | TFLOPs: 19.60 | 31: iteration 14280/ 23189 | consumed samples: 3655680 | consumed tokens: 7486832640 | elapsed time per iteration (s): 0.79 | learning rate: 7.900E-05 | global batch size: 256 | lm loss: 2.232995E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.626 | TFLOPs: 19.52 | 31: iteration 14290/ 23189 | consumed samples: 3658240 | consumed tokens: 7492075520 | elapsed time per iteration (s): 0.84 | learning rate: 7.889E-05 | global batch size: 256 | lm loss: 2.248768E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.226 | TFLOPs: 18.47 | 31: iteration 14300/ 23189 | consumed samples: 3660800 | consumed tokens: 7497318400 | elapsed time per iteration (s): 0.82 | learning rate: 7.877E-05 | global batch size: 256 | lm loss: 2.196366E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.984 | TFLOPs: 18.81 | 31: iteration 14310/ 23189 | consumed samples: 3663360 | consumed tokens: 7502561280 | elapsed time per iteration (s): 0.74 | learning rate: 7.866E-05 | global batch size: 256 | lm loss: 2.198928E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.802 | TFLOPs: 20.80 | 31: iteration 14320/ 23189 | consumed samples: 3665920 | consumed tokens: 7507804160 | elapsed time per iteration (s): 0.75 | learning rate: 7.854E-05 | global batch size: 256 | lm loss: 2.203358E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.575 | TFLOPs: 20.79 | 31: iteration 14330/ 23189 | consumed samples: 3668480 | consumed tokens: 7513047040 | elapsed time per iteration (s): 0.77 | learning rate: 7.842E-05 | global batch size: 256 | lm loss: 2.217476E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.256 | TFLOPs: 20.04 | 31: iteration 14340/ 23189 | consumed samples: 3671040 | consumed tokens: 7518289920 | elapsed time per iteration (s): 0.74 | learning rate: 7.831E-05 | global batch size: 256 | lm loss: 2.236723E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.090 | TFLOPs: 20.82 | 31: iteration 14350/ 23189 | consumed samples: 3673600 | consumed tokens: 7523532800 | elapsed time per iteration (s): 0.73 | learning rate: 7.819E-05 | global batch size: 256 | lm loss: 2.259616E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.967 | TFLOPs: 21.11 | 31: iteration 14360/ 23189 | consumed samples: 3676160 | consumed tokens: 7528775680 | elapsed time per iteration (s): 0.79 | learning rate: 7.808E-05 | global batch size: 256 | lm loss: 2.264321E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.685 | TFLOPs: 19.52 | 31: iteration 14370/ 23189 | consumed samples: 3678720 | consumed tokens: 7534018560 | elapsed time per iteration (s): 0.80 | learning rate: 7.796E-05 | global batch size: 256 | lm loss: 2.263073E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.280 | TFLOPs: 19.32 | 31: iteration 14380/ 23189 | consumed samples: 3681280 | consumed tokens: 7539261440 | elapsed time per iteration (s): 0.72 | learning rate: 7.785E-05 | global batch size: 256 | lm loss: 2.220928E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.444 | TFLOPs: 21.56 | 31: iteration 14390/ 23189 | consumed samples: 3683840 | consumed tokens: 7544504320 | elapsed time per iteration (s): 0.83 | learning rate: 7.773E-05 | global batch size: 256 | lm loss: 2.244916E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.892 | TFLOPs: 18.75 | 31: iteration 14400/ 23189 | consumed samples: 3686400 | consumed tokens: 7549747200 | elapsed time per iteration (s): 0.71 | learning rate: 7.762E-05 | global batch size: 256 | lm loss: 2.199566E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.138 | TFLOPs: 21.91 | 31: iteration 14410/ 23189 | consumed samples: 3688960 | consumed tokens: 7554990080 | elapsed time per iteration (s): 0.77 | learning rate: 7.750E-05 | global batch size: 256 | lm loss: 2.198228E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.653 | TFLOPs: 20.06 | 31: iteration 14420/ 23189 | consumed samples: 3691520 | consumed tokens: 7560232960 | elapsed time per iteration (s): 0.75 | learning rate: 7.739E-05 | global batch size: 256 | lm loss: 2.228180E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.840 | TFLOPs: 20.68 | 31: iteration 14430/ 23189 | consumed samples: 3694080 | consumed tokens: 7565475840 | elapsed time per iteration (s): 0.74 | learning rate: 7.727E-05 | global batch size: 256 | lm loss: 2.238125E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.734 | TFLOPs: 20.86 | 31: iteration 14440/ 23189 | consumed samples: 3696640 | consumed tokens: 7570718720 | elapsed time per iteration (s): 0.74 | learning rate: 7.716E-05 | global batch size: 256 | lm loss: 2.201469E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.011 | TFLOPs: 20.99 | 31: iteration 14450/ 23189 | consumed samples: 3699200 | consumed tokens: 7575961600 | elapsed time per iteration (s): 0.76 | learning rate: 7.704E-05 | global batch size: 256 | lm loss: 2.219251E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.511 | TFLOPs: 20.30 | 31: iteration 14460/ 23189 | consumed samples: 3701760 | consumed tokens: 7581204480 | elapsed time per iteration (s): 0.77 | learning rate: 7.693E-05 | global batch size: 256 | lm loss: 2.245384E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.788 | TFLOPs: 20.07 | 31: iteration 14470/ 23189 | consumed samples: 3704320 | consumed tokens: 7586447360 | elapsed time per iteration (s): 0.74 | learning rate: 7.682E-05 | global batch size: 256 | lm loss: 2.250695E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.482 | TFLOPs: 20.90 | 31: iteration 14480/ 23189 | consumed samples: 3706880 | consumed tokens: 7591690240 | elapsed time per iteration (s): 0.74 | learning rate: 7.670E-05 | global batch size: 256 | lm loss: 2.214245E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.710 | TFLOPs: 20.85 | 31: iteration 14490/ 23189 | consumed samples: 3709440 | consumed tokens: 7596933120 | elapsed time per iteration (s): 0.78 | learning rate: 7.659E-05 | global batch size: 256 | lm loss: 2.212208E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.750 | TFLOPs: 19.95 | 31: iteration 14500/ 23189 | consumed samples: 3712000 | consumed tokens: 7602176000 | elapsed time per iteration (s): 0.77 | learning rate: 7.647E-05 | global batch size: 256 | lm loss: 2.231057E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.961 | TFLOPs: 20.02 | 31: iteration 14510/ 23189 | consumed samples: 3714560 | consumed tokens: 7607418880 | elapsed time per iteration (s): 0.75 | learning rate: 7.636E-05 | global batch size: 256 | lm loss: 2.245459E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.624 | TFLOPs: 20.67 | 31: iteration 14520/ 23189 | consumed samples: 3717120 | consumed tokens: 7612661760 | elapsed time per iteration (s): 0.74 | learning rate: 7.624E-05 | global batch size: 256 | lm loss: 2.283743E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.461 | TFLOPs: 21.02 | 31: iteration 14530/ 23189 | consumed samples: 3719680 | consumed tokens: 7617904640 | elapsed time per iteration (s): 0.80 | learning rate: 7.613E-05 | global batch size: 256 | lm loss: 2.226905E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.210 | TFLOPs: 19.25 | 31: iteration 14540/ 23189 | consumed samples: 3722240 | consumed tokens: 7623147520 | elapsed time per iteration (s): 0.74 | learning rate: 7.602E-05 | global batch size: 256 | lm loss: 2.239392E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.655 | TFLOPs: 21.03 | 31: iteration 14550/ 23189 | consumed samples: 3724800 | consumed tokens: 7628390400 | elapsed time per iteration (s): 0.72 | learning rate: 7.590E-05 | global batch size: 256 | lm loss: 2.206132E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.214 | TFLOPs: 21.37 | 31: iteration 14560/ 23189 | consumed samples: 3727360 | consumed tokens: 7633633280 | elapsed time per iteration (s): 0.75 | learning rate: 7.579E-05 | global batch size: 256 | lm loss: 2.221730E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.933 | TFLOPs: 20.57 | 31: iteration 14570/ 23189 | consumed samples: 3729920 | consumed tokens: 7638876160 | elapsed time per iteration (s): 0.72 | learning rate: 7.567E-05 | global batch size: 256 | lm loss: 2.224031E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.885 | TFLOPs: 21.65 | 31: iteration 14580/ 23189 | consumed samples: 3732480 | consumed tokens: 7644119040 | elapsed time per iteration (s): 0.76 | learning rate: 7.556E-05 | global batch size: 256 | lm loss: 2.203064E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.679 | TFLOPs: 20.31 | 31: iteration 14590/ 23189 | consumed samples: 3735040 | consumed tokens: 7649361920 | elapsed time per iteration (s): 0.76 | learning rate: 7.545E-05 | global batch size: 256 | lm loss: 2.241329E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.987 | TFLOPs: 20.27 | 31: iteration 14600/ 23189 | consumed samples: 3737600 | consumed tokens: 7654604800 | elapsed time per iteration (s): 0.73 | learning rate: 7.533E-05 | global batch size: 256 | lm loss: 2.252640E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.808 | TFLOPs: 21.16 | 31: iteration 14610/ 23189 | consumed samples: 3740160 | consumed tokens: 7659847680 | elapsed time per iteration (s): 0.74 | learning rate: 7.522E-05 | global batch size: 256 | lm loss: 2.234291E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.388 | TFLOPs: 20.96 | 31: iteration 14620/ 23189 | consumed samples: 3742720 | consumed tokens: 7665090560 | elapsed time per iteration (s): 0.76 | learning rate: 7.511E-05 | global batch size: 256 | lm loss: 2.245382E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.848 | TFLOPs: 20.38 | 31: iteration 14630/ 23189 | consumed samples: 3745280 | consumed tokens: 7670333440 | elapsed time per iteration (s): 0.79 | learning rate: 7.499E-05 | global batch size: 256 | lm loss: 2.204757E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.004 | TFLOPs: 19.66 | 31: iteration 14640/ 23189 | consumed samples: 3747840 | consumed tokens: 7675576320 | elapsed time per iteration (s): 0.75 | learning rate: 7.488E-05 | global batch size: 256 | lm loss: 2.215437E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.077 | TFLOPs: 20.57 | 31: iteration 14650/ 23189 | consumed samples: 3750400 | consumed tokens: 7680819200 | elapsed time per iteration (s): 0.77 | learning rate: 7.477E-05 | global batch size: 256 | lm loss: 2.234409E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.244 | TFLOPs: 20.10 | 31: iteration 14660/ 23189 | consumed samples: 3752960 | consumed tokens: 7686062080 | elapsed time per iteration (s): 0.77 | learning rate: 7.465E-05 | global batch size: 256 | lm loss: 2.209616E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.585 | TFLOPs: 20.12 | 31: iteration 14670/ 23189 | consumed samples: 3755520 | consumed tokens: 7691304960 | elapsed time per iteration (s): 0.75 | learning rate: 7.454E-05 | global batch size: 256 | lm loss: 2.221453E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.055 | TFLOPs: 20.63 | 31: iteration 14680/ 23189 | consumed samples: 3758080 | consumed tokens: 7696547840 | elapsed time per iteration (s): 0.76 | learning rate: 7.443E-05 | global batch size: 256 | lm loss: 2.242605E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.102 | TFLOPs: 20.45 | 31: iteration 14690/ 23189 | consumed samples: 3760640 | consumed tokens: 7701790720 | elapsed time per iteration (s): 0.72 | learning rate: 7.431E-05 | global batch size: 256 | lm loss: 2.213799E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.674 | TFLOPs: 21.40 | 31: iteration 14700/ 23189 | consumed samples: 3763200 | consumed tokens: 7707033600 | elapsed time per iteration (s): 0.76 | learning rate: 7.420E-05 | global batch size: 256 | lm loss: 2.246147E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.922 | TFLOPs: 20.32 | 31: iteration 14710/ 23189 | consumed samples: 3765760 | consumed tokens: 7712276480 | elapsed time per iteration (s): 0.76 | learning rate: 7.409E-05 | global batch size: 256 | lm loss: 2.217590E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.226 | TFLOPs: 20.40 | 31: iteration 14720/ 23189 | consumed samples: 3768320 | consumed tokens: 7717519360 | elapsed time per iteration (s): 0.77 | learning rate: 7.397E-05 | global batch size: 256 | lm loss: 2.233747E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.678 | TFLOPs: 20.19 | 31: iteration 14730/ 23189 | consumed samples: 3770880 | consumed tokens: 7722762240 | elapsed time per iteration (s): 0.74 | learning rate: 7.386E-05 | global batch size: 256 | lm loss: 2.234383E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.744 | TFLOPs: 20.98 | 31: iteration 14740/ 23189 | consumed samples: 3773440 | consumed tokens: 7728005120 | elapsed time per iteration (s): 0.77 | learning rate: 7.375E-05 | global batch size: 256 | lm loss: 2.230879E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.176 | TFLOPs: 20.22 | 31: iteration 14750/ 23189 | consumed samples: 3776000 | consumed tokens: 7733248000 | elapsed time per iteration (s): 0.81 | learning rate: 7.364E-05 | global batch size: 256 | lm loss: 2.235625E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.945 | TFLOPs: 19.23 | 31: iteration 14760/ 23189 | consumed samples: 3778560 | consumed tokens: 7738490880 | elapsed time per iteration (s): 0.79 | learning rate: 7.352E-05 | global batch size: 256 | lm loss: 2.212362E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.904 | TFLOPs: 19.72 | 31: iteration 14770/ 23189 | consumed samples: 3781120 | consumed tokens: 7743733760 | elapsed time per iteration (s): 0.80 | learning rate: 7.341E-05 | global batch size: 256 | lm loss: 2.220662E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.655 | TFLOPs: 19.40 | 31: iteration 14780/ 23189 | consumed samples: 3783680 | consumed tokens: 7748976640 | elapsed time per iteration (s): 0.80 | learning rate: 7.330E-05 | global batch size: 256 | lm loss: 2.252209E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.692 | TFLOPs: 19.46 | 31: iteration 14790/ 23189 | consumed samples: 3786240 | consumed tokens: 7754219520 | elapsed time per iteration (s): 0.78 | learning rate: 7.319E-05 | global batch size: 256 | lm loss: 2.244385E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.899 | TFLOPs: 19.96 | 31: iteration 14800/ 23189 | consumed samples: 3788800 | consumed tokens: 7759462400 | elapsed time per iteration (s): 0.78 | learning rate: 7.307E-05 | global batch size: 256 | lm loss: 2.216353E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.503 | TFLOPs: 19.81 | 31: iteration 14810/ 23189 | consumed samples: 3791360 | consumed tokens: 7764705280 | elapsed time per iteration (s): 0.95 | learning rate: 7.296E-05 | global batch size: 256 | lm loss: 2.256898E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 270.499 | TFLOPs: 16.36 | 31: iteration 14820/ 23189 | consumed samples: 3793920 | consumed tokens: 7769948160 | elapsed time per iteration (s): 0.83 | learning rate: 7.285E-05 | global batch size: 256 | lm loss: 2.208283E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.491 | TFLOPs: 18.66 | 31: iteration 14830/ 23189 | consumed samples: 3796480 | consumed tokens: 7775191040 | elapsed time per iteration (s): 0.79 | learning rate: 7.274E-05 | global batch size: 256 | lm loss: 2.234566E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.574 | TFLOPs: 19.51 | 31: iteration 14840/ 23189 | consumed samples: 3799040 | consumed tokens: 7780433920 | elapsed time per iteration (s): 0.88 | learning rate: 7.262E-05 | global batch size: 256 | lm loss: 2.216463E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 289.757 | TFLOPs: 17.53 | 31: iteration 14850/ 23189 | consumed samples: 3801600 | consumed tokens: 7785676800 | elapsed time per iteration (s): 0.80 | learning rate: 7.251E-05 | global batch size: 256 | lm loss: 2.214394E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.772 | TFLOPs: 19.41 | 31: iteration 14860/ 23189 | consumed samples: 3804160 | consumed tokens: 7790919680 | elapsed time per iteration (s): 0.78 | learning rate: 7.240E-05 | global batch size: 256 | lm loss: 2.206509E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.084 | TFLOPs: 19.79 | 31: iteration 14870/ 23189 | consumed samples: 3806720 | consumed tokens: 7796162560 | elapsed time per iteration (s): 1.04 | learning rate: 7.229E-05 | global batch size: 256 | lm loss: 2.247520E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 246.508 | TFLOPs: 14.91 | 31: iteration 14880/ 23189 | consumed samples: 3809280 | consumed tokens: 7801405440 | elapsed time per iteration (s): 0.78 | learning rate: 7.218E-05 | global batch size: 256 | lm loss: 2.217460E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.389 | TFLOPs: 19.75 | 31: iteration 14890/ 23189 | consumed samples: 3811840 | consumed tokens: 7806648320 | elapsed time per iteration (s): 0.79 | learning rate: 7.206E-05 | global batch size: 256 | lm loss: 2.202405E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.675 | TFLOPs: 19.64 | 31: iteration 14900/ 23189 | consumed samples: 3814400 | consumed tokens: 7811891200 | elapsed time per iteration (s): 0.76 | learning rate: 7.195E-05 | global batch size: 256 | lm loss: 2.202116E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.457 | TFLOPs: 20.35 | 31: iteration 14910/ 23189 | consumed samples: 3816960 | consumed tokens: 7817134080 | elapsed time per iteration (s): 0.82 | learning rate: 7.184E-05 | global batch size: 256 | lm loss: 2.240444E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.831 | TFLOPs: 18.93 | 31: iteration 14920/ 23189 | consumed samples: 3819520 | consumed tokens: 7822376960 | elapsed time per iteration (s): 0.86 | learning rate: 7.173E-05 | global batch size: 256 | lm loss: 2.202454E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 296.394 | TFLOPs: 17.93 | 31: iteration 14930/ 23189 | consumed samples: 3822080 | consumed tokens: 7827619840 | elapsed time per iteration (s): 0.79 | learning rate: 7.162E-05 | global batch size: 256 | lm loss: 2.207846E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.867 | TFLOPs: 19.65 | 31: iteration 14940/ 23189 | consumed samples: 3824640 | consumed tokens: 7832862720 | elapsed time per iteration (s): 0.75 | learning rate: 7.151E-05 | global batch size: 256 | lm loss: 2.228975E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.252 | TFLOPs: 20.64 | 31: iteration 14950/ 23189 | consumed samples: 3827200 | consumed tokens: 7838105600 | elapsed time per iteration (s): 0.78 | learning rate: 7.140E-05 | global batch size: 256 | lm loss: 2.202093E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.599 | TFLOPs: 19.76 | 31: iteration 14960/ 23189 | consumed samples: 3829760 | consumed tokens: 7843348480 | elapsed time per iteration (s): 0.93 | learning rate: 7.128E-05 | global batch size: 256 | lm loss: 2.179201E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 275.110 | TFLOPs: 16.64 | 31: iteration 14970/ 23189 | consumed samples: 3832320 | consumed tokens: 7848591360 | elapsed time per iteration (s): 0.78 | learning rate: 7.117E-05 | global batch size: 256 | lm loss: 2.216264E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.381 | TFLOPs: 19.81 | 31: iteration 14980/ 23189 | consumed samples: 3834880 | consumed tokens: 7853834240 | elapsed time per iteration (s): 0.70 | learning rate: 7.106E-05 | global batch size: 256 | lm loss: 2.223985E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.360 | TFLOPs: 21.98 | 31: iteration 14990/ 23189 | consumed samples: 3837440 | consumed tokens: 7859077120 | elapsed time per iteration (s): 0.75 | learning rate: 7.095E-05 | global batch size: 256 | lm loss: 2.266504E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.883 | TFLOPs: 20.62 | 31: iteration 15000/ 23189 | consumed samples: 3840000 | consumed tokens: 7864320000 | elapsed time per iteration (s): 0.75 | learning rate: 7.084E-05 | global batch size: 256 | lm loss: 2.213009E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.048 | TFLOPs: 20.75 | 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 15000 | lm loss value: 2.225556E+00 | lm loss PPL: 9.258628E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 15010/ 23189 | consumed samples: 3842560 | consumed tokens: 7869562880 | elapsed time per iteration (s): 0.77 | learning rate: 7.073E-05 | global batch size: 256 | lm loss: 2.228493E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.478 | TFLOPs: 20.05 | 31: iteration 15020/ 23189 | consumed samples: 3845120 | consumed tokens: 7874805760 | elapsed time per iteration (s): 0.72 | learning rate: 7.062E-05 | global batch size: 256 | lm loss: 2.211741E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.847 | TFLOPs: 21.53 | 31: iteration 15030/ 23189 | consumed samples: 3847680 | consumed tokens: 7880048640 | elapsed time per iteration (s): 0.75 | learning rate: 7.051E-05 | global batch size: 256 | lm loss: 2.238482E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.677 | TFLOPs: 20.67 | 31: iteration 15040/ 23189 | consumed samples: 3850240 | consumed tokens: 7885291520 | elapsed time per iteration (s): 0.78 | learning rate: 7.040E-05 | global batch size: 256 | lm loss: 2.262888E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.267 | TFLOPs: 19.80 | 31: iteration 15050/ 23189 | consumed samples: 3852800 | consumed tokens: 7890534400 | elapsed time per iteration (s): 0.73 | learning rate: 7.029E-05 | global batch size: 256 | lm loss: 2.204712E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.243 | TFLOPs: 21.31 | 31: iteration 15060/ 23189 | consumed samples: 3855360 | consumed tokens: 7895777280 | elapsed time per iteration (s): 0.75 | learning rate: 7.018E-05 | global batch size: 256 | lm loss: 2.203417E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.907 | TFLOPs: 20.62 | 31: iteration 15070/ 23189 | consumed samples: 3857920 | consumed tokens: 7901020160 | elapsed time per iteration (s): 0.73 | learning rate: 7.007E-05 | global batch size: 256 | lm loss: 2.221121E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.993 | TFLOPs: 21.17 | 31: iteration 15080/ 23189 | consumed samples: 3860480 | consumed tokens: 7906263040 | elapsed time per iteration (s): 0.79 | learning rate: 6.996E-05 | global batch size: 256 | lm loss: 2.206439E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.985 | TFLOPs: 19.66 | 31: iteration 15090/ 23189 | consumed samples: 3863040 | consumed tokens: 7911505920 | elapsed time per iteration (s): 0.74 | learning rate: 6.985E-05 | global batch size: 256 | lm loss: 2.209625E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.950 | TFLOPs: 20.81 | 31: iteration 15100/ 23189 | consumed samples: 3865600 | consumed tokens: 7916748800 | elapsed time per iteration (s): 1.03 | learning rate: 6.974E-05 | global batch size: 256 | lm loss: 2.207942E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 249.562 | TFLOPs: 15.10 | 31: iteration 15110/ 23189 | consumed samples: 3868160 | consumed tokens: 7921991680 | elapsed time per iteration (s): 0.80 | learning rate: 6.963E-05 | global batch size: 256 | lm loss: 2.230024E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.906 | TFLOPs: 19.47 | 31: iteration 15120/ 23189 | consumed samples: 3870720 | consumed tokens: 7927234560 | elapsed time per iteration (s): 0.80 | learning rate: 6.952E-05 | global batch size: 256 | lm loss: 2.218032E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.318 | TFLOPs: 19.44 | 31: iteration 15130/ 23189 | consumed samples: 3873280 | consumed tokens: 7932477440 | elapsed time per iteration (s): 0.77 | learning rate: 6.941E-05 | global batch size: 256 | lm loss: 2.200929E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.788 | TFLOPs: 20.07 | 31: iteration 15140/ 23189 | consumed samples: 3875840 | consumed tokens: 7937720320 | elapsed time per iteration (s): 0.74 | learning rate: 6.930E-05 | global batch size: 256 | lm loss: 2.243018E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.674 | TFLOPs: 20.91 | 31: iteration 15150/ 23189 | consumed samples: 3878400 | consumed tokens: 7942963200 | elapsed time per iteration (s): 0.78 | learning rate: 6.919E-05 | global batch size: 256 | lm loss: 2.200378E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.402 | TFLOPs: 19.81 | 31: iteration 15160/ 23189 | consumed samples: 3880960 | consumed tokens: 7948206080 | elapsed time per iteration (s): 0.78 | learning rate: 6.908E-05 | global batch size: 256 | lm loss: 2.216061E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.711 | TFLOPs: 19.95 | 31: iteration 15170/ 23189 | consumed samples: 3883520 | consumed tokens: 7953448960 | elapsed time per iteration (s): 0.77 | learning rate: 6.897E-05 | global batch size: 256 | lm loss: 2.235060E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.025 | TFLOPs: 20.09 | 31: iteration 15180/ 23189 | consumed samples: 3886080 | consumed tokens: 7958691840 | elapsed time per iteration (s): 0.77 | learning rate: 6.886E-05 | global batch size: 256 | lm loss: 2.211533E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.773 | TFLOPs: 20.13 | 31: iteration 15190/ 23189 | consumed samples: 3888640 | consumed tokens: 7963934720 | elapsed time per iteration (s): 0.75 | learning rate: 6.875E-05 | global batch size: 256 | lm loss: 2.213648E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.213 | TFLOPs: 20.64 | 31: iteration 15200/ 23189 | consumed samples: 3891200 | consumed tokens: 7969177600 | elapsed time per iteration (s): 0.73 | learning rate: 6.864E-05 | global batch size: 256 | lm loss: 2.236466E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.014 | TFLOPs: 21.17 | 31: iteration 15210/ 23189 | consumed samples: 3893760 | consumed tokens: 7974420480 | elapsed time per iteration (s): 0.75 | learning rate: 6.853E-05 | global batch size: 256 | lm loss: 2.212831E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.182 | TFLOPs: 20.52 | 31: iteration 15220/ 23189 | consumed samples: 3896320 | consumed tokens: 7979663360 | elapsed time per iteration (s): 0.80 | learning rate: 6.842E-05 | global batch size: 256 | lm loss: 2.238772E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.220 | TFLOPs: 19.25 | 31: iteration 15230/ 23189 | consumed samples: 3898880 | consumed tokens: 7984906240 | elapsed time per iteration (s): 0.76 | learning rate: 6.831E-05 | global batch size: 256 | lm loss: 2.218473E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.816 | TFLOPs: 20.32 | 31: iteration 15240/ 23189 | consumed samples: 3901440 | consumed tokens: 7990149120 | elapsed time per iteration (s): 0.77 | learning rate: 6.820E-05 | global batch size: 256 | lm loss: 2.227831E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.106 | TFLOPs: 20.09 | 31: iteration 15250/ 23189 | consumed samples: 3904000 | consumed tokens: 7995392000 | elapsed time per iteration (s): 0.74 | learning rate: 6.809E-05 | global batch size: 256 | lm loss: 2.210327E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.875 | TFLOPs: 21.05 | 31: iteration 15260/ 23189 | consumed samples: 3906560 | consumed tokens: 8000634880 | elapsed time per iteration (s): 0.81 | learning rate: 6.798E-05 | global batch size: 256 | lm loss: 2.233842E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.118 | TFLOPs: 19.18 | 31: iteration 15270/ 23189 | consumed samples: 3909120 | consumed tokens: 8005877760 | elapsed time per iteration (s): 0.75 | learning rate: 6.787E-05 | global batch size: 256 | lm loss: 2.211697E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.807 | TFLOPs: 20.74 | 31: iteration 15280/ 23189 | consumed samples: 3911680 | consumed tokens: 8011120640 | elapsed time per iteration (s): 0.77 | learning rate: 6.777E-05 | global batch size: 256 | lm loss: 2.230261E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.524 | TFLOPs: 20.00 | 31: iteration 15290/ 23189 | consumed samples: 3914240 | consumed tokens: 8016363520 | elapsed time per iteration (s): 0.76 | learning rate: 6.766E-05 | global batch size: 256 | lm loss: 2.205957E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.249 | TFLOPs: 20.46 | 31: iteration 15300/ 23189 | consumed samples: 3916800 | consumed tokens: 8021606400 | elapsed time per iteration (s): 0.91 | learning rate: 6.755E-05 | global batch size: 256 | lm loss: 2.208741E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.863 | TFLOPs: 16.99 | 31: iteration 15310/ 23189 | consumed samples: 3919360 | consumed tokens: 8026849280 | elapsed time per iteration (s): 0.78 | learning rate: 6.744E-05 | global batch size: 256 | lm loss: 2.225091E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.243 | TFLOPs: 19.86 | 31: iteration 15320/ 23189 | consumed samples: 3921920 | consumed tokens: 8032092160 | elapsed time per iteration (s): 0.82 | learning rate: 6.733E-05 | global batch size: 256 | lm loss: 2.216278E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.985 | TFLOPs: 18.93 | 31: iteration 15330/ 23189 | consumed samples: 3924480 | consumed tokens: 8037335040 | elapsed time per iteration (s): 0.81 | learning rate: 6.722E-05 | global batch size: 256 | lm loss: 2.202963E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.891 | TFLOPs: 19.05 | 31: iteration 15340/ 23189 | consumed samples: 3927040 | consumed tokens: 8042577920 | elapsed time per iteration (s): 0.79 | learning rate: 6.711E-05 | global batch size: 256 | lm loss: 2.230636E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.411 | TFLOPs: 19.63 | 31: iteration 15350/ 23189 | consumed samples: 3929600 | consumed tokens: 8047820800 | elapsed time per iteration (s): 0.78 | learning rate: 6.701E-05 | global batch size: 256 | lm loss: 2.215408E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.648 | TFLOPs: 19.76 | 31: iteration 15360/ 23189 | consumed samples: 3932160 | consumed tokens: 8053063680 | elapsed time per iteration (s): 0.77 | learning rate: 6.690E-05 | global batch size: 256 | lm loss: 2.220887E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.228 | TFLOPs: 20.22 | 31: iteration 15370/ 23189 | consumed samples: 3934720 | consumed tokens: 8058306560 | elapsed time per iteration (s): 0.75 | learning rate: 6.679E-05 | global batch size: 256 | lm loss: 2.228493E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.745 | TFLOPs: 20.55 | 31: iteration 15380/ 23189 | consumed samples: 3937280 | consumed tokens: 8063549440 | elapsed time per iteration (s): 0.76 | learning rate: 6.668E-05 | global batch size: 256 | lm loss: 2.196061E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.008 | TFLOPs: 20.27 | 31: iteration 15390/ 23189 | consumed samples: 3939840 | consumed tokens: 8068792320 | elapsed time per iteration (s): 0.77 | learning rate: 6.657E-05 | global batch size: 256 | lm loss: 2.234314E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.713 | TFLOPs: 20.13 | 31: iteration 15400/ 23189 | consumed samples: 3942400 | consumed tokens: 8074035200 | elapsed time per iteration (s): 0.73 | learning rate: 6.647E-05 | global batch size: 256 | lm loss: 2.204120E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.650 | TFLOPs: 21.21 | 31: iteration 15410/ 23189 | consumed samples: 3944960 | consumed tokens: 8079278080 | elapsed time per iteration (s): 0.79 | learning rate: 6.636E-05 | global batch size: 256 | lm loss: 2.245287E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.808 | TFLOPs: 19.59 | 31: iteration 15420/ 23189 | consumed samples: 3947520 | consumed tokens: 8084520960 | elapsed time per iteration (s): 0.81 | learning rate: 6.625E-05 | global batch size: 256 | lm loss: 2.238221E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.303 | TFLOPs: 19.14 | 31: iteration 15430/ 23189 | consumed samples: 3950080 | consumed tokens: 8089763840 | elapsed time per iteration (s): 0.76 | learning rate: 6.614E-05 | global batch size: 256 | lm loss: 2.214753E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.749 | TFLOPs: 20.49 | 31: iteration 15440/ 23189 | consumed samples: 3952640 | consumed tokens: 8095006720 | elapsed time per iteration (s): 0.75 | learning rate: 6.604E-05 | global batch size: 256 | lm loss: 2.213103E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.357 | TFLOPs: 20.77 | 31: iteration 15450/ 23189 | consumed samples: 3955200 | consumed tokens: 8100249600 | elapsed time per iteration (s): 0.80 | learning rate: 6.593E-05 | global batch size: 256 | lm loss: 2.225483E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.705 | TFLOPs: 19.34 | 31: iteration 15460/ 23189 | consumed samples: 3957760 | consumed tokens: 8105492480 | elapsed time per iteration (s): 0.71 | learning rate: 6.582E-05 | global batch size: 256 | lm loss: 2.223827E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.337 | TFLOPs: 21.68 | 31: iteration 15470/ 23189 | consumed samples: 3960320 | consumed tokens: 8110735360 | elapsed time per iteration (s): 0.77 | learning rate: 6.571E-05 | global batch size: 256 | lm loss: 2.223329E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.095 | TFLOPs: 20.03 | 31: iteration 15480/ 23189 | consumed samples: 3962880 | consumed tokens: 8115978240 | elapsed time per iteration (s): 0.76 | learning rate: 6.561E-05 | global batch size: 256 | lm loss: 2.225696E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.699 | TFLOPs: 20.43 | 31: iteration 15490/ 23189 | consumed samples: 3965440 | consumed tokens: 8121221120 | elapsed time per iteration (s): 0.80 | learning rate: 6.550E-05 | global batch size: 256 | lm loss: 2.215541E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.226 | TFLOPs: 19.43 | 31: iteration 15500/ 23189 | consumed samples: 3968000 | consumed tokens: 8126464000 | elapsed time per iteration (s): 0.72 | learning rate: 6.539E-05 | global batch size: 256 | lm loss: 2.219666E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.640 | TFLOPs: 21.58 | 31: iteration 15510/ 23189 | consumed samples: 3970560 | consumed tokens: 8131706880 | elapsed time per iteration (s): 0.75 | learning rate: 6.529E-05 | global batch size: 256 | lm loss: 2.227839E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.840 | TFLOPs: 20.62 | 31: iteration 15520/ 23189 | consumed samples: 3973120 | consumed tokens: 8136949760 | elapsed time per iteration (s): 0.81 | learning rate: 6.518E-05 | global batch size: 256 | lm loss: 2.220795E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.182 | TFLOPs: 19.19 | 31: iteration 15530/ 23189 | consumed samples: 3975680 | consumed tokens: 8142192640 | elapsed time per iteration (s): 0.78 | learning rate: 6.507E-05 | global batch size: 256 | lm loss: 2.239147E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.150 | TFLOPs: 19.97 | 31: iteration 15540/ 23189 | consumed samples: 3978240 | consumed tokens: 8147435520 | elapsed time per iteration (s): 0.77 | learning rate: 6.496E-05 | global batch size: 256 | lm loss: 2.230559E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.621 | TFLOPs: 20.12 | 31: iteration 15550/ 23189 | consumed samples: 3980800 | consumed tokens: 8152678400 | elapsed time per iteration (s): 0.80 | learning rate: 6.486E-05 | global batch size: 256 | lm loss: 2.194864E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.183 | TFLOPs: 19.25 | 31: iteration 15560/ 23189 | consumed samples: 3983360 | consumed tokens: 8157921280 | elapsed time per iteration (s): 0.76 | learning rate: 6.475E-05 | global batch size: 256 | lm loss: 2.220081E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.465 | TFLOPs: 20.48 | 31: iteration 15570/ 23189 | consumed samples: 3985920 | consumed tokens: 8163164160 | elapsed time per iteration (s): 0.78 | learning rate: 6.465E-05 | global batch size: 256 | lm loss: 2.208594E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.777 | TFLOPs: 19.95 | 31: iteration 15580/ 23189 | consumed samples: 3988480 | consumed tokens: 8168407040 | elapsed time per iteration (s): 0.79 | learning rate: 6.454E-05 | global batch size: 256 | lm loss: 2.214487E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.104 | TFLOPs: 19.73 | 31: iteration 15590/ 23189 | consumed samples: 3991040 | consumed tokens: 8173649920 | elapsed time per iteration (s): 0.77 | learning rate: 6.443E-05 | global batch size: 256 | lm loss: 2.238931E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.945 | TFLOPs: 20.20 | 31: iteration 15600/ 23189 | consumed samples: 3993600 | consumed tokens: 8178892800 | elapsed time per iteration (s): 0.78 | learning rate: 6.433E-05 | global batch size: 256 | lm loss: 2.219639E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.787 | TFLOPs: 19.95 | 31: iteration 15610/ 23189 | consumed samples: 3996160 | consumed tokens: 8184135680 | elapsed time per iteration (s): 0.79 | learning rate: 6.422E-05 | global batch size: 256 | lm loss: 2.232330E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.103 | TFLOPs: 19.61 | 31: iteration 15620/ 23189 | consumed samples: 3998720 | consumed tokens: 8189378560 | elapsed time per iteration (s): 0.78 | learning rate: 6.411E-05 | global batch size: 256 | lm loss: 2.196074E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.317 | TFLOPs: 19.86 | 31: iteration 15630/ 23189 | consumed samples: 4001280 | consumed tokens: 8194621440 | elapsed time per iteration (s): 0.76 | learning rate: 6.401E-05 | global batch size: 256 | lm loss: 2.229407E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.193 | TFLOPs: 20.28 | 31: iteration 15640/ 23189 | consumed samples: 4003840 | consumed tokens: 8199864320 | elapsed time per iteration (s): 0.75 | learning rate: 6.390E-05 | global batch size: 256 | lm loss: 2.222368E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.296 | TFLOPs: 20.71 | 31: iteration 15650/ 23189 | consumed samples: 4006400 | consumed tokens: 8205107200 | elapsed time per iteration (s): 0.75 | learning rate: 6.380E-05 | global batch size: 256 | lm loss: 2.254130E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.340 | TFLOPs: 20.77 | 31: iteration 15660/ 23189 | consumed samples: 4008960 | consumed tokens: 8210350080 | elapsed time per iteration (s): 0.76 | learning rate: 6.369E-05 | global batch size: 256 | lm loss: 2.189770E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.433 | TFLOPs: 20.47 | 31: iteration 15670/ 23189 | consumed samples: 4011520 | consumed tokens: 8215592960 | elapsed time per iteration (s): 0.72 | learning rate: 6.359E-05 | global batch size: 256 | lm loss: 2.215394E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.133 | TFLOPs: 21.42 | 31: iteration 15680/ 23189 | consumed samples: 4014080 | consumed tokens: 8220835840 | elapsed time per iteration (s): 0.76 | learning rate: 6.348E-05 | global batch size: 256 | lm loss: 2.202879E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.025 | TFLOPs: 20.51 | 31: iteration 15690/ 23189 | consumed samples: 4016640 | consumed tokens: 8226078720 | elapsed time per iteration (s): 0.74 | learning rate: 6.338E-05 | global batch size: 256 | lm loss: 2.239937E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.799 | TFLOPs: 20.86 | 31: iteration 15700/ 23189 | consumed samples: 4019200 | consumed tokens: 8231321600 | elapsed time per iteration (s): 0.80 | learning rate: 6.327E-05 | global batch size: 256 | lm loss: 2.220570E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.562 | TFLOPs: 19.39 | 31: iteration 15710/ 23189 | consumed samples: 4021760 | consumed tokens: 8236564480 | elapsed time per iteration (s): 0.77 | learning rate: 6.316E-05 | global batch size: 256 | lm loss: 2.230468E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.450 | TFLOPs: 20.05 | 31: iteration 15720/ 23189 | consumed samples: 4024320 | consumed tokens: 8241807360 | elapsed time per iteration (s): 0.75 | learning rate: 6.306E-05 | global batch size: 256 | lm loss: 2.237394E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.975 | TFLOPs: 20.57 | 31: iteration 15730/ 23189 | consumed samples: 4026880 | consumed tokens: 8247050240 | elapsed time per iteration (s): 0.74 | learning rate: 6.295E-05 | global batch size: 256 | lm loss: 2.227189E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.784 | TFLOPs: 20.92 | 31: iteration 15740/ 23189 | consumed samples: 4029440 | consumed tokens: 8252293120 | elapsed time per iteration (s): 0.85 | learning rate: 6.285E-05 | global batch size: 256 | lm loss: 2.222523E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 300.625 | TFLOPs: 18.19 | 31: iteration 15750/ 23189 | consumed samples: 4032000 | consumed tokens: 8257536000 | elapsed time per iteration (s): 0.79 | learning rate: 6.274E-05 | global batch size: 256 | lm loss: 2.214700E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.882 | TFLOPs: 19.72 | 31: iteration 15760/ 23189 | consumed samples: 4034560 | consumed tokens: 8262778880 | elapsed time per iteration (s): 0.85 | learning rate: 6.264E-05 | global batch size: 256 | lm loss: 2.226544E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 302.004 | TFLOPs: 18.27 | 31: iteration 15770/ 23189 | consumed samples: 4037120 | consumed tokens: 8268021760 | elapsed time per iteration (s): 0.83 | learning rate: 6.254E-05 | global batch size: 256 | lm loss: 2.222950E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.406 | TFLOPs: 18.72 | 31: iteration 15780/ 23189 | consumed samples: 4039680 | consumed tokens: 8273264640 | elapsed time per iteration (s): 0.80 | learning rate: 6.243E-05 | global batch size: 256 | lm loss: 2.201020E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.424 | TFLOPs: 19.38 | 31: iteration 15790/ 23189 | consumed samples: 4042240 | consumed tokens: 8278507520 | elapsed time per iteration (s): 0.80 | learning rate: 6.233E-05 | global batch size: 256 | lm loss: 2.200065E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.301 | TFLOPs: 19.38 | 31: iteration 15800/ 23189 | consumed samples: 4044800 | consumed tokens: 8283750400 | elapsed time per iteration (s): 0.80 | learning rate: 6.222E-05 | global batch size: 256 | lm loss: 2.196206E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.439 | TFLOPs: 19.33 | 31: iteration 15810/ 23189 | consumed samples: 4047360 | consumed tokens: 8288993280 | elapsed time per iteration (s): 0.80 | learning rate: 6.212E-05 | global batch size: 256 | lm loss: 2.180993E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.621 | TFLOPs: 19.40 | 31: iteration 15820/ 23189 | consumed samples: 4049920 | consumed tokens: 8294236160 | elapsed time per iteration (s): 0.76 | learning rate: 6.201E-05 | global batch size: 256 | lm loss: 2.236603E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.865 | TFLOPs: 20.50 | 31: iteration 15830/ 23189 | consumed samples: 4052480 | consumed tokens: 8299479040 | elapsed time per iteration (s): 0.77 | learning rate: 6.191E-05 | global batch size: 256 | lm loss: 2.216010E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.592 | TFLOPs: 20.24 | 31: iteration 15840/ 23189 | consumed samples: 4055040 | consumed tokens: 8304721920 | elapsed time per iteration (s): 0.73 | learning rate: 6.180E-05 | global batch size: 256 | lm loss: 2.230112E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.700 | TFLOPs: 21.10 | 31: iteration 15850/ 23189 | consumed samples: 4057600 | consumed tokens: 8309964800 | elapsed time per iteration (s): 0.78 | learning rate: 6.170E-05 | global batch size: 256 | lm loss: 2.227915E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.567 | TFLOPs: 19.76 | 31: iteration 15860/ 23189 | consumed samples: 4060160 | consumed tokens: 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consumed samples: 4067840 | consumed tokens: 8330936320 | elapsed time per iteration (s): 0.82 | learning rate: 6.129E-05 | global batch size: 256 | lm loss: 2.214553E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.000 | TFLOPs: 18.81 | 31: iteration 15900/ 23189 | consumed samples: 4070400 | consumed tokens: 8336179200 | elapsed time per iteration (s): 0.78 | learning rate: 6.118E-05 | global batch size: 256 | lm loss: 2.222857E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.973 | TFLOPs: 19.84 | 31: iteration 15910/ 23189 | consumed samples: 4072960 | consumed tokens: 8341422080 | elapsed time per iteration (s): 0.76 | learning rate: 6.108E-05 | global batch size: 256 | lm loss: 2.224357E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.401 | TFLOPs: 20.35 | 31: iteration 15920/ 23189 | consumed samples: 4075520 | consumed tokens: 8346664960 | elapsed time per iteration (s): 0.77 | learning rate: 6.098E-05 | global batch size: 256 | lm loss: 2.180500E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.613 | TFLOPs: 20.00 | 31: iteration 15930/ 23189 | consumed samples: 4078080 | consumed tokens: 8351907840 | elapsed time per iteration (s): 0.75 | learning rate: 6.087E-05 | global batch size: 256 | lm loss: 2.205487E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.995 | TFLOPs: 20.63 | 31: iteration 15940/ 23189 | consumed samples: 4080640 | consumed tokens: 8357150720 | elapsed time per iteration (s): 0.81 | learning rate: 6.077E-05 | global batch size: 256 | lm loss: 2.211303E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.464 | TFLOPs: 19.21 | 31: iteration 15950/ 23189 | consumed samples: 4083200 | consumed tokens: 8362393600 | elapsed time per iteration (s): 0.76 | learning rate: 6.067E-05 | global batch size: 256 | lm loss: 2.222705E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.011 | TFLOPs: 20.51 | 31: iteration 15960/ 23189 | consumed samples: 4085760 | consumed tokens: 8367636480 | elapsed time per iteration (s): 0.76 | learning rate: 6.056E-05 | global batch size: 256 | lm loss: 2.200658E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.054 | TFLOPs: 20.51 | 31: iteration 15970/ 23189 | consumed samples: 4088320 | consumed tokens: 8372879360 | elapsed time per iteration (s): 0.73 | learning rate: 6.046E-05 | global batch size: 256 | lm loss: 2.216958E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.805 | TFLOPs: 21.22 | 31: iteration 15980/ 23189 | consumed samples: 4090880 | consumed tokens: 8378122240 | elapsed time per iteration (s): 0.74 | learning rate: 6.036E-05 | global batch size: 256 | lm loss: 2.238007E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.329 | TFLOPs: 21.01 | 31: iteration 15990/ 23189 | consumed samples: 4093440 | consumed tokens: 8383365120 | elapsed time per iteration (s): 0.77 | learning rate: 6.025E-05 | global batch size: 256 | lm loss: 2.228339E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.619 | TFLOPs: 20.06 | 0: [2022-11-28 21:19:50,809] [INFO] [logging.py:68:log_dist] [Rank 0] step=16000, skipped=0, lr=[6.015228090977243e-05, 6.015228090977243e-05, 6.015228090977243e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 16000/ 23189 | consumed samples: 4096000 | consumed tokens: 8388608000 | elapsed time per iteration (s): 0.97 | learning rate: 6.015E-05 | global batch size: 256 | lm loss: 2.215460E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 264.336 | TFLOPs: 15.99 | 0: steps: 16000 loss: 2.3145 iter time (s): 0.773 samples/sec: 330.987 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 16000 | lm loss value: 2.110580E+00 | lm loss PPL: 8.253030E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 16010/ 23189 | consumed samples: 4098560 | consumed tokens: 8393850880 | elapsed time per iteration (s): 0.79 | learning rate: 6.005E-05 | global batch size: 256 | lm loss: 2.207336E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.222 | TFLOPs: 19.49 | 31: iteration 16020/ 23189 | consumed samples: 4101120 | consumed tokens: 8399093760 | elapsed time per iteration (s): 0.75 | learning rate: 5.995E-05 | global batch size: 256 | lm loss: 2.212336E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.644 | TFLOPs: 20.55 | 31: iteration 16030/ 23189 | consumed samples: 4103680 | consumed tokens: 8404336640 | elapsed time per iteration (s): 0.75 | learning rate: 5.985E-05 | global batch size: 256 | lm loss: 2.200893E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.041 | TFLOPs: 20.57 | 31: iteration 16040/ 23189 | consumed samples: 4106240 | consumed tokens: 8409579520 | elapsed time per iteration (s): 0.72 | learning rate: 5.974E-05 | global batch size: 256 | lm loss: 2.238887E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.255 | TFLOPs: 21.37 | 31: iteration 16050/ 23189 | consumed samples: 4108800 | consumed tokens: 8414822400 | elapsed time per iteration (s): 0.76 | learning rate: 5.964E-05 | global batch size: 256 | lm loss: 2.180589E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.818 | TFLOPs: 20.44 | 31: iteration 16060/ 23189 | consumed samples: 4111360 | consumed tokens: 8420065280 | elapsed time per iteration (s): 0.77 | learning rate: 5.954E-05 | global batch size: 256 | lm loss: 2.244966E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.674 | TFLOPs: 20.19 | 31: iteration 16070/ 23189 | consumed samples: 4113920 | consumed tokens: 8425308160 | elapsed time per iteration (s): 0.82 | learning rate: 5.944E-05 | global batch size: 256 | lm loss: 2.212587E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.758 | TFLOPs: 18.92 | 31: iteration 16080/ 23189 | consumed samples: 4116480 | consumed tokens: 8430551040 | elapsed time per iteration (s): 0.74 | learning rate: 5.933E-05 | global batch size: 256 | lm loss: 2.205861E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.105 | TFLOPs: 20.88 | 31: iteration 16090/ 23189 | consumed samples: 4119040 | consumed tokens: 8435793920 | elapsed time per iteration (s): 0.77 | learning rate: 5.923E-05 | global batch size: 256 | lm loss: 2.209414E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.457 | TFLOPs: 20.17 | 31: iteration 16100/ 23189 | consumed samples: 4121600 | consumed tokens: 8441036800 | elapsed time per iteration (s): 0.78 | learning rate: 5.913E-05 | global batch size: 256 | lm loss: 2.192191E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.544 | TFLOPs: 19.94 | 31: iteration 16110/ 23189 | consumed samples: 4124160 | consumed tokens: 8446279680 | elapsed time per iteration (s): 0.77 | learning rate: 5.903E-05 | global batch size: 256 | lm loss: 2.223307E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.078 | TFLOPs: 20.21 | 31: iteration 16120/ 23189 | consumed samples: 4126720 | consumed tokens: 8451522560 | elapsed time per iteration (s): 0.77 | learning rate: 5.893E-05 | global batch size: 256 | lm loss: 2.232484E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.864 | TFLOPs: 20.14 | 31: iteration 16130/ 23189 | consumed samples: 4129280 | consumed tokens: 8456765440 | elapsed time per iteration (s): 0.75 | learning rate: 5.883E-05 | global batch size: 256 | lm loss: 2.199208E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.175 | TFLOPs: 20.70 | 31: iteration 16140/ 23189 | consumed samples: 4131840 | consumed tokens: 8462008320 | elapsed time per iteration (s): 0.76 | learning rate: 5.873E-05 | global batch size: 256 | lm loss: 2.184481E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.670 | TFLOPs: 20.25 | 31: iteration 16150/ 23189 | consumed samples: 4134400 | consumed tokens: 8467251200 | elapsed time per iteration (s): 0.74 | learning rate: 5.862E-05 | global batch size: 256 | lm loss: 2.216247E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.096 | TFLOPs: 20.94 | 31: iteration 16160/ 23189 | consumed samples: 4136960 | consumed tokens: 8472494080 | elapsed time per iteration (s): 0.78 | learning rate: 5.852E-05 | global batch size: 256 | lm loss: 2.209406E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.973 | TFLOPs: 19.84 | 31: iteration 16170/ 23189 | consumed samples: 4139520 | consumed tokens: 8477736960 | elapsed time per iteration (s): 0.79 | learning rate: 5.842E-05 | global batch size: 256 | lm loss: 2.195953E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.444 | TFLOPs: 19.69 | 31: iteration 16180/ 23189 | consumed samples: 4142080 | consumed tokens: 8482979840 | elapsed time per iteration (s): 0.73 | learning rate: 5.832E-05 | global batch size: 256 | lm loss: 2.225756E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.172 | TFLOPs: 21.12 | 31: iteration 16190/ 23189 | consumed samples: 4144640 | consumed tokens: 8488222720 | elapsed time per iteration (s): 0.75 | learning rate: 5.822E-05 | global batch size: 256 | lm loss: 2.189170E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.772 | TFLOPs: 20.56 | 31: iteration 16200/ 23189 | consumed samples: 4147200 | consumed tokens: 8493465600 | elapsed time per iteration (s): 0.81 | learning rate: 5.812E-05 | global batch size: 256 | lm loss: 2.203670E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.911 | TFLOPs: 19.23 | 31: iteration 16210/ 23189 | consumed samples: 4149760 | consumed tokens: 8498708480 | elapsed time per iteration (s): 0.77 | learning rate: 5.802E-05 | global batch size: 256 | lm loss: 2.203587E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.770 | TFLOPs: 20.07 | 31: iteration 16220/ 23189 | consumed samples: 4152320 | consumed tokens: 8503951360 | elapsed time per iteration (s): 0.80 | learning rate: 5.792E-05 | global batch size: 256 | lm loss: 2.188774E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.426 | TFLOPs: 19.38 | 31: iteration 16230/ 23189 | consumed samples: 4154880 | consumed tokens: 8509194240 | elapsed time per iteration (s): 0.75 | learning rate: 5.782E-05 | global batch size: 256 | lm loss: 2.203421E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.245 | TFLOPs: 20.58 | 31: iteration 16240/ 23189 | consumed samples: 4157440 | consumed tokens: 8514437120 | elapsed time per iteration (s): 0.75 | learning rate: 5.772E-05 | global batch size: 256 | lm loss: 2.192790E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.661 | TFLOPs: 20.55 | 31: iteration 16250/ 23189 | consumed samples: 4160000 | consumed tokens: 8519680000 | elapsed time per iteration (s): 0.78 | learning rate: 5.762E-05 | global batch size: 256 | lm loss: 2.217448E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.426 | TFLOPs: 19.93 | 31: iteration 16260/ 23189 | consumed samples: 4162560 | consumed tokens: 8524922880 | elapsed time per iteration (s): 0.77 | learning rate: 5.752E-05 | global batch size: 256 | lm loss: 2.196431E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.760 | TFLOPs: 20.01 | 31: iteration 16270/ 23189 | consumed samples: 4165120 | consumed tokens: 8530165760 | elapsed time per iteration (s): 0.75 | learning rate: 5.742E-05 | global batch size: 256 | lm loss: 2.187645E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.159 | TFLOPs: 20.76 | 31: iteration 16280/ 23189 | consumed samples: 4167680 | consumed tokens: 8535408640 | elapsed time per iteration (s): 0.77 | learning rate: 5.732E-05 | global batch size: 256 | lm loss: 2.200923E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.953 | TFLOPs: 20.02 | 31: iteration 16290/ 23189 | consumed samples: 4170240 | consumed tokens: 8540651520 | elapsed time per iteration (s): 0.77 | learning rate: 5.722E-05 | global batch size: 256 | lm loss: 2.213857E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.466 | TFLOPs: 19.99 | 31: iteration 16300/ 23189 | consumed samples: 4172800 | consumed tokens: 8545894400 | elapsed time per iteration (s): 0.78 | learning rate: 5.712E-05 | global batch size: 256 | lm loss: 2.196980E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.529 | TFLOPs: 19.81 | 31: iteration 16310/ 23189 | consumed samples: 4175360 | consumed tokens: 8551137280 | elapsed time per iteration (s): 0.74 | learning rate: 5.702E-05 | global batch size: 256 | lm loss: 2.220307E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.086 | TFLOPs: 21.06 | 31: iteration 16320/ 23189 | consumed samples: 4177920 | consumed tokens: 8556380160 | elapsed time per iteration (s): 0.74 | learning rate: 5.692E-05 | global batch size: 256 | lm loss: 2.223117E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.955 | TFLOPs: 20.81 | 31: iteration 16330/ 23189 | consumed samples: 4180480 | consumed tokens: 8561623040 | elapsed time per iteration (s): 0.80 | learning rate: 5.682E-05 | global batch size: 256 | lm loss: 2.194496E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.830 | TFLOPs: 19.47 | 31: iteration 16340/ 23189 | consumed samples: 4183040 | consumed tokens: 8566865920 | elapsed time per iteration (s): 0.78 | learning rate: 5.672E-05 | global batch size: 256 | lm loss: 2.213813E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.462 | TFLOPs: 19.75 | 31: iteration 16350/ 23189 | consumed samples: 4185600 | consumed tokens: 8572108800 | elapsed time per iteration (s): 0.79 | learning rate: 5.662E-05 | global batch size: 256 | lm loss: 2.200192E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.493 | TFLOPs: 19.63 | 31: iteration 16360/ 23189 | consumed samples: 4188160 | consumed tokens: 8577351680 | elapsed time per iteration (s): 0.74 | learning rate: 5.652E-05 | global batch size: 256 | lm loss: 2.219232E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.825 | TFLOPs: 20.80 | 31: iteration 16370/ 23189 | consumed samples: 4190720 | consumed tokens: 8582594560 | elapsed time per iteration (s): 0.74 | learning rate: 5.642E-05 | global batch size: 256 | lm loss: 2.224645E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.952 | TFLOPs: 20.81 | 31: iteration 16380/ 23189 | consumed samples: 4193280 | consumed tokens: 8587837440 | elapsed time per iteration (s): 0.80 | learning rate: 5.632E-05 | global batch size: 256 | lm loss: 2.225681E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.317 | TFLOPs: 19.26 | 31: iteration 16390/ 23189 | consumed samples: 4195840 | consumed tokens: 8593080320 | elapsed time per iteration (s): 0.73 | learning rate: 5.623E-05 | global batch size: 256 | lm loss: 2.213963E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.321 | TFLOPs: 21.31 | 31: iteration 16400/ 23189 | consumed samples: 4198400 | consumed tokens: 8598323200 | elapsed time per iteration (s): 0.79 | learning rate: 5.613E-05 | global batch size: 256 | lm loss: 2.218350E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.046 | TFLOPs: 19.48 | 31: iteration 16410/ 23189 | consumed samples: 4200960 | consumed tokens: 8603566080 | elapsed time per iteration (s): 0.78 | learning rate: 5.603E-05 | global batch size: 256 | lm loss: 2.200849E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.095 | TFLOPs: 19.91 | 31: iteration 16420/ 23189 | consumed samples: 4203520 | consumed tokens: 8608808960 | elapsed time per iteration (s): 0.75 | learning rate: 5.593E-05 | global batch size: 256 | lm loss: 2.198337E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.977 | TFLOPs: 20.57 | 31: iteration 16430/ 23189 | consumed samples: 4206080 | consumed tokens: 8614051840 | elapsed time per iteration (s): 0.85 | learning rate: 5.583E-05 | global batch size: 256 | lm loss: 2.211441E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 300.935 | TFLOPs: 18.21 | 31: iteration 16440/ 23189 | consumed samples: 4208640 | consumed tokens: 8619294720 | elapsed time per iteration (s): 0.81 | learning rate: 5.573E-05 | global batch size: 256 | lm loss: 2.201929E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.551 | TFLOPs: 19.03 | 31: iteration 16450/ 23189 | consumed samples: 4211200 | consumed tokens: 8624537600 | elapsed time per iteration (s): 0.82 | learning rate: 5.564E-05 | global batch size: 256 | lm loss: 2.192328E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.735 | TFLOPs: 18.92 | 31: iteration 16460/ 23189 | consumed samples: 4213760 | consumed tokens: 8629780480 | elapsed time per iteration (s): 0.83 | learning rate: 5.554E-05 | global batch size: 256 | lm loss: 2.196736E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.950 | TFLOPs: 18.69 | 31: iteration 16470/ 23189 | consumed samples: 4216320 | consumed tokens: 8635023360 | elapsed time per iteration (s): 0.82 | learning rate: 5.544E-05 | global batch size: 256 | lm loss: 2.210414E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.653 | TFLOPs: 18.98 | 31: iteration 16480/ 23189 | consumed samples: 4218880 | consumed tokens: 8640266240 | elapsed time per iteration (s): 0.78 | learning rate: 5.534E-05 | global batch size: 256 | lm loss: 2.227063E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.290 | TFLOPs: 19.86 | 31: iteration 16490/ 23189 | consumed samples: 4221440 | consumed tokens: 8645509120 | elapsed time per iteration (s): 0.80 | learning rate: 5.524E-05 | global batch size: 256 | lm loss: 2.192253E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.059 | TFLOPs: 19.36 | 31: iteration 16500/ 23189 | consumed samples: 4224000 | consumed tokens: 8650752000 | elapsed time per iteration (s): 0.80 | learning rate: 5.515E-05 | global batch size: 256 | lm loss: 2.218577E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.335 | TFLOPs: 19.32 | 31: iteration 16510/ 23189 | consumed samples: 4226560 | consumed tokens: 8655994880 | elapsed time per iteration (s): 0.85 | learning rate: 5.505E-05 | global batch size: 256 | lm loss: 2.197456E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 299.431 | TFLOPs: 18.11 | 31: iteration 16520/ 23189 | consumed samples: 4229120 | consumed tokens: 8661237760 | elapsed time per iteration (s): 0.83 | learning rate: 5.495E-05 | global batch size: 256 | lm loss: 2.215271E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.658 | TFLOPs: 18.73 | 31: iteration 16530/ 23189 | consumed samples: 4231680 | consumed tokens: 8666480640 | elapsed time per iteration (s): 0.77 | learning rate: 5.485E-05 | global batch size: 256 | lm loss: 2.209470E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.038 | TFLOPs: 20.03 | 31: iteration 16540/ 23189 | consumed samples: 4234240 | consumed tokens: 8671723520 | elapsed time per iteration (s): 0.84 | learning rate: 5.476E-05 | global batch size: 256 | lm loss: 2.198933E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 306.214 | TFLOPs: 18.53 | 31: iteration 16550/ 23189 | consumed samples: 4236800 | consumed tokens: 8676966400 | elapsed time per iteration (s): 0.77 | learning rate: 5.466E-05 | global batch size: 256 | lm loss: 2.219713E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.304 | TFLOPs: 20.10 | 31: iteration 16560/ 23189 | consumed samples: 4239360 | consumed tokens: 8682209280 | elapsed time per iteration (s): 0.79 | learning rate: 5.456E-05 | global batch size: 256 | lm loss: 2.180333E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.689 | TFLOPs: 19.52 | 31: iteration 16570/ 23189 | consumed samples: 4241920 | consumed tokens: 8687452160 | elapsed time per iteration (s): 0.78 | learning rate: 5.446E-05 | global batch size: 256 | lm loss: 2.185233E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.848 | TFLOPs: 19.95 | 31: iteration 16580/ 23189 | consumed samples: 4244480 | consumed tokens: 8692695040 | elapsed time per iteration (s): 0.75 | learning rate: 5.437E-05 | global batch size: 256 | lm loss: 2.220481E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.320 | TFLOPs: 20.77 | 31: iteration 16590/ 23189 | consumed samples: 4247040 | consumed tokens: 8697937920 | elapsed time per iteration (s): 0.76 | learning rate: 5.427E-05 | global batch size: 256 | lm loss: 2.223174E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.288 | TFLOPs: 20.34 | 31: iteration 16600/ 23189 | consumed samples: 4249600 | consumed tokens: 8703180800 | elapsed time per iteration (s): 0.72 | learning rate: 5.417E-05 | global batch size: 256 | lm loss: 2.170674E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.735 | TFLOPs: 21.52 | 31: iteration 16610/ 23189 | consumed samples: 4252160 | consumed tokens: 8708423680 | elapsed time per iteration (s): 0.79 | learning rate: 5.408E-05 | global batch size: 256 | lm loss: 2.226112E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.885 | TFLOPs: 19.72 | 31: iteration 16620/ 23189 | consumed samples: 4254720 | consumed tokens: 8713666560 | elapsed time per iteration (s): 0.72 | learning rate: 5.398E-05 | global batch size: 256 | lm loss: 2.207241E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.881 | TFLOPs: 21.47 | 31: iteration 16630/ 23189 | consumed samples: 4257280 | consumed tokens: 8718909440 | elapsed time per iteration (s): 0.71 | learning rate: 5.389E-05 | global batch size: 256 | lm loss: 2.210744E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.539 | TFLOPs: 21.81 | 31: iteration 16640/ 23189 | consumed samples: 4259840 | consumed tokens: 8724152320 | elapsed time per iteration (s): 0.75 | learning rate: 5.379E-05 | global batch size: 256 | lm loss: 2.202003E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.930 | TFLOPs: 20.63 | 31: iteration 16650/ 23189 | consumed samples: 4262400 | consumed tokens: 8729395200 | elapsed time per iteration (s): 0.72 | learning rate: 5.369E-05 | global batch size: 256 | lm loss: 2.190315E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.497 | TFLOPs: 21.39 | 31: iteration 16660/ 23189 | consumed samples: 4264960 | consumed tokens: 8734638080 | elapsed time per iteration (s): 0.75 | learning rate: 5.360E-05 | global batch size: 256 | lm loss: 2.201090E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.155 | TFLOPs: 20.52 | 31: iteration 16670/ 23189 | consumed samples: 4267520 | consumed tokens: 8739880960 | elapsed time per iteration (s): 0.76 | learning rate: 5.350E-05 | global batch size: 256 | lm loss: 2.183655E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.632 | TFLOPs: 20.49 | 31: iteration 16680/ 23189 | consumed samples: 4270080 | consumed tokens: 8745123840 | elapsed time per iteration (s): 0.73 | learning rate: 5.340E-05 | global batch size: 256 | lm loss: 2.208707E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.131 | TFLOPs: 21.12 | 31: iteration 16690/ 23189 | consumed samples: 4272640 | consumed tokens: 8750366720 | elapsed time per iteration (s): 0.76 | learning rate: 5.331E-05 | global batch size: 256 | lm loss: 2.177406E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.708 | TFLOPs: 20.25 | 31: iteration 16700/ 23189 | consumed samples: 4275200 | consumed tokens: 8755609600 | elapsed time per iteration (s): 0.77 | learning rate: 5.321E-05 | global batch size: 256 | lm loss: 2.213650E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.292 | TFLOPs: 20.16 | 31: iteration 16710/ 23189 | consumed samples: 4277760 | consumed tokens: 8760852480 | elapsed time per iteration (s): 0.75 | learning rate: 5.312E-05 | global batch size: 256 | lm loss: 2.207183E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.599 | TFLOPs: 20.61 | 31: iteration 16720/ 23189 | consumed samples: 4280320 | consumed tokens: 8766095360 | elapsed time per iteration (s): 0.74 | learning rate: 5.302E-05 | global batch size: 256 | lm loss: 2.155285E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.197 | TFLOPs: 21.00 | 31: iteration 16730/ 23189 | consumed samples: 4282880 | consumed tokens: 8771338240 | elapsed time per iteration (s): 0.73 | learning rate: 5.293E-05 | global batch size: 256 | lm loss: 2.233073E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.364 | TFLOPs: 21.32 | 31: iteration 16740/ 23189 | consumed samples: 4285440 | consumed tokens: 8776581120 | elapsed time per iteration (s): 0.76 | learning rate: 5.283E-05 | global batch size: 256 | lm loss: 2.205479E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.904 | TFLOPs: 20.32 | 31: iteration 16750/ 23189 | consumed samples: 4288000 | consumed tokens: 8781824000 | elapsed time per iteration (s): 0.71 | learning rate: 5.274E-05 | global batch size: 256 | lm loss: 2.210014E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.827 | TFLOPs: 21.71 | 31: iteration 16760/ 23189 | consumed samples: 4290560 | consumed tokens: 8787066880 | elapsed time per iteration (s): 0.74 | learning rate: 5.264E-05 | global batch size: 256 | lm loss: 2.207182E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.285 | TFLOPs: 20.89 | 31: iteration 16770/ 23189 | consumed samples: 4293120 | consumed tokens: 8792309760 | elapsed time per iteration (s): 0.78 | learning rate: 5.255E-05 | global batch size: 256 | lm loss: 2.181405E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.989 | TFLOPs: 19.96 | 31: iteration 16780/ 23189 | consumed samples: 4295680 | consumed tokens: 8797552640 | elapsed time per iteration (s): 0.78 | learning rate: 5.245E-05 | global batch size: 256 | lm loss: 2.203736E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.520 | TFLOPs: 19.75 | 31: iteration 16790/ 23189 | consumed samples: 4298240 | consumed tokens: 8802795520 | elapsed time per iteration (s): 0.80 | learning rate: 5.236E-05 | global batch size: 256 | lm loss: 2.176751E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.291 | TFLOPs: 19.38 | 31: iteration 16800/ 23189 | consumed samples: 4300800 | consumed tokens: 8808038400 | elapsed time per iteration (s): 0.77 | learning rate: 5.226E-05 | global batch size: 256 | lm loss: 2.202790E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.017 | TFLOPs: 20.21 | 31: iteration 16810/ 23189 | consumed samples: 4303360 | consumed tokens: 8813281280 | elapsed time per iteration (s): 0.72 | learning rate: 5.217E-05 | global batch size: 256 | lm loss: 2.178631E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.757 | TFLOPs: 21.40 | 31: iteration 16820/ 23189 | consumed samples: 4305920 | consumed tokens: 8818524160 | elapsed time per iteration (s): 0.82 | learning rate: 5.207E-05 | global batch size: 256 | lm loss: 2.176198E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.305 | TFLOPs: 18.89 | 31: iteration 16830/ 23189 | consumed samples: 4308480 | consumed tokens: 8823767040 | elapsed time per iteration (s): 0.76 | learning rate: 5.198E-05 | global batch size: 256 | lm loss: 2.197281E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.782 | TFLOPs: 20.25 | 31: iteration 16840/ 23189 | consumed samples: 4311040 | consumed tokens: 8829009920 | elapsed time per iteration (s): 0.79 | learning rate: 5.189E-05 | global batch size: 256 | lm loss: 2.178064E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.358 | TFLOPs: 19.62 | 31: iteration 16850/ 23189 | consumed samples: 4313600 | consumed tokens: 8834252800 | elapsed time per iteration (s): 0.73 | learning rate: 5.179E-05 | global batch size: 256 | lm loss: 2.196864E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.490 | TFLOPs: 21.20 | 31: iteration 16860/ 23189 | consumed samples: 4316160 | consumed tokens: 8839495680 | elapsed time per iteration (s): 0.77 | learning rate: 5.170E-05 | global batch size: 256 | lm loss: 2.208685E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.126 | TFLOPs: 20.03 | 31: iteration 16870/ 23189 | consumed samples: 4318720 | consumed tokens: 8844738560 | elapsed time per iteration (s): 0.82 | learning rate: 5.160E-05 | global batch size: 256 | lm loss: 2.214532E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.966 | TFLOPs: 18.93 | 31: iteration 16880/ 23189 | consumed samples: 4321280 | consumed tokens: 8849981440 | elapsed time per iteration (s): 0.84 | learning rate: 5.151E-05 | global batch size: 256 | lm loss: 2.177262E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.435 | TFLOPs: 18.36 | 31: iteration 16890/ 23189 | consumed samples: 4323840 | consumed tokens: 8855224320 | elapsed time per iteration (s): 0.80 | learning rate: 5.142E-05 | global batch size: 256 | lm loss: 2.210299E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.349 | TFLOPs: 19.26 | 31: iteration 16900/ 23189 | consumed samples: 4326400 | consumed tokens: 8860467200 | elapsed time per iteration (s): 0.79 | learning rate: 5.132E-05 | global batch size: 256 | lm loss: 2.186526E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.406 | TFLOPs: 19.50 | 31: iteration 16910/ 23189 | consumed samples: 4328960 | consumed tokens: 8865710080 | elapsed time per iteration (s): 0.81 | learning rate: 5.123E-05 | global batch size: 256 | lm loss: 2.178700E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.128 | TFLOPs: 19.00 | 31: iteration 16920/ 23189 | consumed samples: 4331520 | consumed tokens: 8870952960 | elapsed time per iteration (s): 0.76 | learning rate: 5.114E-05 | global batch size: 256 | lm loss: 2.176733E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.788 | TFLOPs: 20.25 | 31: iteration 16930/ 23189 | consumed samples: 4334080 | consumed tokens: 8876195840 | elapsed time per iteration (s): 0.73 | learning rate: 5.104E-05 | global batch size: 256 | lm loss: 2.181776E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.372 | TFLOPs: 21.08 | 31: iteration 16940/ 23189 | consumed samples: 4336640 | consumed tokens: 8881438720 | elapsed time per iteration (s): 0.78 | learning rate: 5.095E-05 | global batch size: 256 | lm loss: 2.197254E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.474 | TFLOPs: 19.93 | 31: iteration 16950/ 23189 | consumed samples: 4339200 | consumed tokens: 8886681600 | elapsed time per iteration (s): 0.76 | learning rate: 5.086E-05 | global batch size: 256 | lm loss: 2.177120E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.926 | TFLOPs: 20.44 | 31: iteration 16960/ 23189 | consumed samples: 4341760 | consumed tokens: 8891924480 | elapsed time per iteration (s): 0.74 | learning rate: 5.077E-05 | global batch size: 256 | lm loss: 2.194260E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.360 | TFLOPs: 20.83 | 31: iteration 16970/ 23189 | consumed samples: 4344320 | consumed tokens: 8897167360 | elapsed time per iteration (s): 0.75 | learning rate: 5.067E-05 | global batch size: 256 | lm loss: 2.193539E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.610 | TFLOPs: 20.61 | 31: iteration 16980/ 23189 | consumed samples: 4346880 | consumed tokens: 8902410240 | elapsed time per iteration (s): 0.74 | learning rate: 5.058E-05 | global batch size: 256 | lm loss: 2.223010E+00 | grad norm: 0.156 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.488 | TFLOPs: 20.90 | 31: iteration 16990/ 23189 | consumed samples: 4349440 | consumed tokens: 8907653120 | elapsed time per iteration (s): 0.76 | learning rate: 5.049E-05 | global batch size: 256 | lm loss: 2.213852E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.162 | TFLOPs: 20.40 | 31: iteration 17000/ 23189 | consumed samples: 4352000 | consumed tokens: 8912896000 | elapsed time per iteration (s): 0.78 | learning rate: 5.040E-05 | global batch size: 256 | lm loss: 2.208987E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.251 | TFLOPs: 19.92 | 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 17000 | lm loss value: 2.191444E+00 | lm loss PPL: 8.948126E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 17010/ 23189 | consumed samples: 4354560 | consumed tokens: 8918138880 | elapsed time per iteration (s): 0.81 | learning rate: 5.030E-05 | global batch size: 256 | lm loss: 2.206224E+00 | grad norm: 0.155 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.735 | TFLOPs: 19.04 | 31: iteration 17020/ 23189 | consumed samples: 4357120 | consumed tokens: 8923381760 | elapsed time per iteration (s): 0.75 | learning rate: 5.021E-05 | global batch size: 256 | lm loss: 2.216024E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.690 | TFLOPs: 20.73 | 31: iteration 17030/ 23189 | consumed samples: 4359680 | consumed tokens: 8928624640 | elapsed time per iteration (s): 0.77 | learning rate: 5.012E-05 | global batch size: 256 | lm loss: 2.213877E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.890 | TFLOPs: 20.02 | 31: iteration 17040/ 23189 | consumed samples: 4362240 | consumed tokens: 8933867520 | elapsed time per iteration (s): 0.80 | learning rate: 5.003E-05 | global batch size: 256 | lm loss: 2.212733E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.089 | TFLOPs: 19.36 | 31: iteration 17050/ 23189 | consumed samples: 4364800 | consumed tokens: 8939110400 | elapsed time per iteration (s): 0.74 | learning rate: 4.994E-05 | global batch size: 256 | lm loss: 2.219459E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.101 | TFLOPs: 20.88 | 31: iteration 17060/ 23189 | consumed samples: 4367360 | consumed tokens: 8944353280 | elapsed time per iteration (s): 0.78 | learning rate: 4.984E-05 | global batch size: 256 | lm loss: 2.147885E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.698 | TFLOPs: 19.76 | 31: iteration 17070/ 23189 | consumed samples: 4369920 | consumed tokens: 8949596160 | elapsed time per iteration (s): 0.79 | learning rate: 4.975E-05 | global batch size: 256 | lm loss: 2.199839E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.699 | TFLOPs: 19.70 | 31: iteration 17080/ 23189 | consumed samples: 4372480 | consumed tokens: 8954839040 | elapsed time per iteration (s): 0.76 | learning rate: 4.966E-05 | global batch size: 256 | lm loss: 2.203931E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.072 | TFLOPs: 20.45 | 31: iteration 17090/ 23189 | consumed samples: 4375040 | consumed tokens: 8960081920 | elapsed time per iteration (s): 0.75 | learning rate: 4.957E-05 | global batch size: 256 | lm loss: 2.199975E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.906 | TFLOPs: 20.68 | 31: iteration 17100/ 23189 | consumed samples: 4377600 | consumed tokens: 8965324800 | elapsed time per iteration (s): 0.72 | learning rate: 4.948E-05 | global batch size: 256 | lm loss: 2.196950E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.337 | TFLOPs: 21.50 | 31: iteration 17110/ 23189 | consumed samples: 4380160 | consumed tokens: 8970567680 | elapsed time per iteration (s): 0.75 | learning rate: 4.939E-05 | global batch size: 256 | lm loss: 2.186404E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.165 | TFLOPs: 20.76 | 31: iteration 17120/ 23189 | consumed samples: 4382720 | consumed tokens: 8975810560 | elapsed time per iteration (s): 0.72 | learning rate: 4.930E-05 | global batch size: 256 | lm loss: 2.230106E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.974 | TFLOPs: 21.48 | 31: iteration 17130/ 23189 | consumed samples: 4385280 | consumed tokens: 8981053440 | elapsed time per iteration (s): 0.75 | learning rate: 4.921E-05 | global batch size: 256 | lm loss: 2.180268E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.482 | TFLOPs: 20.78 | 31: iteration 17140/ 23189 | consumed samples: 4387840 | consumed tokens: 8986296320 | elapsed time per iteration (s): 0.76 | learning rate: 4.911E-05 | global batch size: 256 | lm loss: 2.193153E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.476 | TFLOPs: 20.42 | 31: iteration 17150/ 23189 | consumed samples: 4390400 | consumed tokens: 8991539200 | elapsed time per iteration (s): 0.83 | learning rate: 4.902E-05 | global batch size: 256 | lm loss: 2.196681E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 306.901 | TFLOPs: 18.57 | 31: iteration 17160/ 23189 | consumed samples: 4392960 | consumed tokens: 8996782080 | elapsed time per iteration (s): 0.73 | learning rate: 4.893E-05 | global batch size: 256 | lm loss: 2.189650E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.313 | TFLOPs: 21.07 | 31: iteration 17170/ 23189 | consumed samples: 4395520 | consumed tokens: 9002024960 | elapsed time per iteration (s): 0.78 | learning rate: 4.884E-05 | global batch size: 256 | lm loss: 2.212496E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.624 | TFLOPs: 19.76 | 31: iteration 17180/ 23189 | consumed samples: 4398080 | consumed tokens: 9007267840 | elapsed time per iteration (s): 0.75 | learning rate: 4.875E-05 | global batch size: 256 | lm loss: 2.188263E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.500 | TFLOPs: 20.60 | 31: iteration 17190/ 23189 | consumed samples: 4400640 | consumed tokens: 9012510720 | elapsed time per iteration (s): 0.77 | learning rate: 4.866E-05 | global batch size: 256 | lm loss: 2.215075E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.269 | TFLOPs: 20.22 | 31: iteration 17200/ 23189 | consumed samples: 4403200 | consumed tokens: 9017753600 | elapsed time per iteration (s): 0.77 | learning rate: 4.857E-05 | global batch size: 256 | lm loss: 2.157971E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.338 | TFLOPs: 19.98 | 31: iteration 17210/ 23189 | consumed samples: 4405760 | consumed tokens: 9022996480 | elapsed time per iteration (s): 0.77 | learning rate: 4.848E-05 | global batch size: 256 | lm loss: 2.176650E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.591 | TFLOPs: 20.12 | 31: iteration 17220/ 23189 | consumed samples: 4408320 | consumed tokens: 9028239360 | elapsed time per iteration (s): 0.80 | learning rate: 4.839E-05 | global batch size: 256 | lm loss: 2.175582E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.911 | TFLOPs: 19.41 | 31: iteration 17230/ 23189 | consumed samples: 4410880 | consumed tokens: 9033482240 | elapsed time per iteration (s): 0.74 | learning rate: 4.830E-05 | global batch size: 256 | lm loss: 2.216932E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.997 | TFLOPs: 20.87 | 31: iteration 17240/ 23189 | consumed samples: 4413440 | consumed tokens: 9038725120 | elapsed time per iteration (s): 0.78 | learning rate: 4.821E-05 | global batch size: 256 | lm loss: 2.216859E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.267 | TFLOPs: 19.86 | 31: iteration 17250/ 23189 | consumed samples: 4416000 | consumed tokens: 9043968000 | elapsed time per iteration (s): 0.77 | learning rate: 4.812E-05 | global batch size: 256 | lm loss: 2.185381E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.522 | TFLOPs: 20.24 | 31: iteration 17260/ 23189 | consumed samples: 4418560 | consumed tokens: 9049210880 | elapsed time per iteration (s): 0.76 | learning rate: 4.803E-05 | global batch size: 256 | lm loss: 2.195497E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.802 | TFLOPs: 20.25 | 31: iteration 17270/ 23189 | consumed samples: 4421120 | consumed tokens: 9054453760 | elapsed time per iteration (s): 0.73 | learning rate: 4.795E-05 | global batch size: 256 | lm loss: 2.216236E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.184 | TFLOPs: 21.19 | 31: iteration 17280/ 23189 | consumed samples: 4423680 | consumed tokens: 9059696640 | elapsed time per iteration (s): 0.76 | learning rate: 4.786E-05 | global batch size: 256 | lm loss: 2.198099E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.422 | TFLOPs: 20.47 | 31: iteration 17290/ 23189 | consumed samples: 4426240 | consumed tokens: 9064939520 | elapsed time per iteration (s): 0.77 | learning rate: 4.777E-05 | global batch size: 256 | lm loss: 2.203277E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.584 | TFLOPs: 20.12 | 31: iteration 17300/ 23189 | consumed samples: 4428800 | consumed tokens: 9070182400 | elapsed time per iteration (s): 0.74 | learning rate: 4.768E-05 | global batch size: 256 | lm loss: 2.205328E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.562 | TFLOPs: 20.85 | 31: iteration 17310/ 23189 | consumed samples: 4431360 | consumed tokens: 9075425280 | elapsed time per iteration (s): 0.78 | learning rate: 4.759E-05 | global batch size: 256 | lm loss: 2.176483E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.073 | TFLOPs: 19.79 | 31: iteration 17320/ 23189 | consumed samples: 4433920 | consumed tokens: 9080668160 | elapsed time per iteration (s): 0.79 | learning rate: 4.750E-05 | global batch size: 256 | lm loss: 2.185959E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.925 | TFLOPs: 19.54 | 31: iteration 17330/ 23189 | consumed samples: 4436480 | consumed tokens: 9085911040 | elapsed time per iteration (s): 0.77 | learning rate: 4.741E-05 | global batch size: 256 | lm loss: 2.207825E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.599 | TFLOPs: 20.00 | 31: iteration 17340/ 23189 | consumed samples: 4439040 | consumed tokens: 9091153920 | elapsed time per iteration (s): 0.71 | learning rate: 4.732E-05 | global batch size: 256 | lm loss: 2.183322E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.189 | TFLOPs: 21.79 | 31: iteration 17350/ 23189 | consumed samples: 4441600 | consumed tokens: 9096396800 | elapsed time per iteration (s): 0.75 | learning rate: 4.724E-05 | global batch size: 256 | lm loss: 2.176156E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.396 | TFLOPs: 20.59 | 31: iteration 17360/ 23189 | consumed samples: 4444160 | consumed tokens: 9101639680 | elapsed time per iteration (s): 0.73 | learning rate: 4.715E-05 | global batch size: 256 | lm loss: 2.168162E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.570 | TFLOPs: 21.27 | 31: iteration 17370/ 23189 | consumed samples: 4446720 | consumed tokens: 9106882560 | elapsed time per iteration (s): 0.80 | learning rate: 4.706E-05 | global batch size: 256 | lm loss: 2.173478E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.582 | TFLOPs: 19.45 | 31: iteration 17380/ 23189 | consumed samples: 4449280 | consumed tokens: 9112125440 | elapsed time per iteration (s): 0.73 | learning rate: 4.697E-05 | global batch size: 256 | lm loss: 2.204363E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.316 | TFLOPs: 21.31 | 31: iteration 17390/ 23189 | consumed samples: 4451840 | consumed tokens: 9117368320 | elapsed time per iteration (s): 0.77 | learning rate: 4.688E-05 | global batch size: 256 | lm loss: 2.223064E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.980 | TFLOPs: 20.08 | 31: iteration 17400/ 23189 | consumed samples: 4454400 | consumed tokens: 9122611200 | elapsed time per iteration (s): 0.77 | learning rate: 4.680E-05 | global batch size: 256 | lm loss: 2.200408E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.117 | TFLOPs: 20.09 | 31: iteration 17410/ 23189 | consumed samples: 4456960 | consumed tokens: 9127854080 | elapsed time per iteration (s): 0.74 | learning rate: 4.671E-05 | global batch size: 256 | lm loss: 2.189261E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.837 | TFLOPs: 20.80 | 31: iteration 17420/ 23189 | consumed samples: 4459520 | consumed tokens: 9133096960 | elapsed time per iteration (s): 0.76 | learning rate: 4.662E-05 | global batch size: 256 | lm loss: 2.191494E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.756 | TFLOPs: 20.31 | 31: iteration 17430/ 23189 | consumed samples: 4462080 | consumed tokens: 9138339840 | elapsed time per iteration (s): 0.77 | learning rate: 4.653E-05 | global batch size: 256 | lm loss: 2.210803E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.334 | TFLOPs: 20.11 | 31: iteration 17440/ 23189 | consumed samples: 4464640 | consumed tokens: 9143582720 | elapsed time per iteration (s): 0.75 | learning rate: 4.645E-05 | global batch size: 256 | lm loss: 2.178096E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.509 | TFLOPs: 20.60 | 31: iteration 17450/ 23189 | consumed samples: 4467200 | consumed tokens: 9148825600 | elapsed time per iteration (s): 0.80 | learning rate: 4.636E-05 | global batch size: 256 | lm loss: 2.204829E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.161 | TFLOPs: 19.43 | 31: iteration 17460/ 23189 | consumed samples: 4469760 | consumed tokens: 9154068480 | elapsed time per iteration (s): 0.75 | learning rate: 4.627E-05 | global batch size: 256 | lm loss: 2.210694E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.344 | TFLOPs: 20.77 | 31: iteration 17470/ 23189 | consumed samples: 4472320 | consumed tokens: 9159311360 | elapsed time per iteration (s): 0.79 | learning rate: 4.618E-05 | global batch size: 256 | lm loss: 2.163020E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.397 | TFLOPs: 19.63 | 31: iteration 17480/ 23189 | consumed samples: 4474880 | consumed tokens: 9164554240 | elapsed time per iteration (s): 0.75 | learning rate: 4.610E-05 | global batch size: 256 | lm loss: 2.195985E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.633 | TFLOPs: 20.67 | 31: iteration 17490/ 23189 | consumed samples: 4477440 | consumed tokens: 9169797120 | elapsed time per iteration (s): 0.81 | learning rate: 4.601E-05 | global batch size: 256 | lm loss: 2.216652E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.671 | TFLOPs: 19.04 | 31: iteration 17500/ 23189 | consumed samples: 4480000 | consumed tokens: 9175040000 | elapsed time per iteration (s): 0.78 | learning rate: 4.592E-05 | global batch size: 256 | lm loss: 2.170869E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.989 | TFLOPs: 19.96 | 31: iteration 17510/ 23189 | consumed samples: 4482560 | consumed tokens: 9180282880 | elapsed time per iteration (s): 0.81 | learning rate: 4.584E-05 | global batch size: 256 | lm loss: 2.174814E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.820 | TFLOPs: 19.23 | 31: iteration 17520/ 23189 | consumed samples: 4485120 | consumed tokens: 9185525760 | elapsed time per iteration (s): 0.74 | learning rate: 4.575E-05 | global batch size: 256 | lm loss: 2.195417E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.024 | TFLOPs: 20.93 | 31: iteration 17530/ 23189 | consumed samples: 4487680 | consumed tokens: 9190768640 | elapsed time per iteration (s): 0.78 | learning rate: 4.567E-05 | global batch size: 256 | lm loss: 2.224628E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.908 | TFLOPs: 19.96 | 31: iteration 17540/ 23189 | consumed samples: 4490240 | consumed tokens: 9196011520 | elapsed time per iteration (s): 0.83 | learning rate: 4.558E-05 | global batch size: 256 | lm loss: 2.226272E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.074 | TFLOPs: 18.70 | 31: iteration 17550/ 23189 | consumed samples: 4492800 | consumed tokens: 9201254400 | elapsed time per iteration (s): 0.77 | learning rate: 4.549E-05 | global batch size: 256 | lm loss: 2.202374E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.946 | TFLOPs: 20.20 | 31: iteration 17560/ 23189 | consumed samples: 4495360 | consumed tokens: 9206497280 | elapsed time per iteration (s): 0.78 | learning rate: 4.541E-05 | global batch size: 256 | lm loss: 2.178885E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.510 | TFLOPs: 19.81 | 31: iteration 17570/ 23189 | consumed samples: 4497920 | consumed tokens: 9211740160 | elapsed time per iteration (s): 0.79 | learning rate: 4.532E-05 | global batch size: 256 | lm loss: 2.180093E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.174 | TFLOPs: 19.67 | 31: iteration 17580/ 23189 | consumed samples: 4500480 | consumed tokens: 9216983040 | elapsed time per iteration (s): 0.83 | learning rate: 4.524E-05 | global batch size: 256 | lm loss: 2.205330E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.545 | TFLOPs: 18.73 | 31: iteration 17590/ 23189 | consumed samples: 4503040 | consumed tokens: 9222225920 | elapsed time per iteration (s): 0.78 | learning rate: 4.515E-05 | global batch size: 256 | lm loss: 2.176628E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.808 | TFLOPs: 19.89 | 31: iteration 17600/ 23189 | consumed samples: 4505600 | consumed tokens: 9227468800 | elapsed time per iteration (s): 0.81 | learning rate: 4.507E-05 | global batch size: 256 | lm loss: 2.211055E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.214 | TFLOPs: 19.19 | 31: iteration 17610/ 23189 | consumed samples: 4508160 | consumed tokens: 9232711680 | elapsed time per iteration (s): 0.78 | learning rate: 4.498E-05 | global batch size: 256 | lm loss: 2.197115E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.459 | TFLOPs: 19.81 | 31: iteration 17620/ 23189 | consumed samples: 4510720 | consumed tokens: 9237954560 | elapsed time per iteration (s): 0.84 | learning rate: 4.490E-05 | global batch size: 256 | lm loss: 2.206783E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.890 | TFLOPs: 18.51 | 31: iteration 17630/ 23189 | consumed samples: 4513280 | consumed tokens: 9243197440 | elapsed time per iteration (s): 0.82 | learning rate: 4.481E-05 | global batch size: 256 | lm loss: 2.177212E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.392 | TFLOPs: 18.78 | 31: iteration 17640/ 23189 | consumed samples: 4515840 | consumed tokens: 9248440320 | elapsed time per iteration (s): 0.78 | learning rate: 4.473E-05 | global batch size: 256 | lm loss: 2.177840E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.511 | TFLOPs: 19.75 | 31: iteration 17650/ 23189 | consumed samples: 4518400 | consumed tokens: 9253683200 | elapsed time per iteration (s): 0.81 | learning rate: 4.464E-05 | global batch size: 256 | lm loss: 2.201400E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.206 | TFLOPs: 19.01 | 31: iteration 17660/ 23189 | consumed samples: 4520960 | consumed tokens: 9258926080 | elapsed time per iteration (s): 0.78 | learning rate: 4.456E-05 | global batch size: 256 | lm loss: 2.204734E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.855 | TFLOPs: 19.89 | 31: iteration 17670/ 23189 | consumed samples: 4523520 | consumed tokens: 9264168960 | elapsed time per iteration (s): 0.78 | learning rate: 4.447E-05 | global batch size: 256 | lm loss: 2.153879E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.813 | TFLOPs: 19.83 | 31: iteration 17680/ 23189 | consumed samples: 4526080 | consumed tokens: 9269411840 | elapsed time per iteration (s): 0.80 | learning rate: 4.439E-05 | global batch size: 256 | lm loss: 2.190854E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.056 | TFLOPs: 19.24 | 31: iteration 17690/ 23189 | consumed samples: 4528640 | consumed tokens: 9274654720 | elapsed time per iteration (s): 0.86 | learning rate: 4.430E-05 | global batch size: 256 | lm loss: 2.220439E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 296.711 | TFLOPs: 17.95 | 31: 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samples per second: 322.506 | TFLOPs: 19.51 | 31: iteration 17730/ 23189 | consumed samples: 4538880 | consumed tokens: 9295626240 | elapsed time per iteration (s): 0.79 | learning rate: 4.397E-05 | global batch size: 256 | lm loss: 2.153384E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.536 | TFLOPs: 19.63 | 31: iteration 17740/ 23189 | consumed samples: 4541440 | consumed tokens: 9300869120 | elapsed time per iteration (s): 0.78 | learning rate: 4.388E-05 | global batch size: 256 | lm loss: 2.189565E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.034 | TFLOPs: 19.85 | 31: iteration 17750/ 23189 | consumed samples: 4544000 | consumed tokens: 9306112000 | elapsed time per iteration (s): 0.81 | learning rate: 4.380E-05 | global batch size: 256 | lm loss: 2.214127E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.776 | TFLOPs: 19.04 | 31: iteration 17760/ 23189 | consumed samples: 4546560 | consumed tokens: 9311354880 | elapsed time per iteration (s): 0.79 | learning rate: 4.372E-05 | global batch size: 256 | lm loss: 2.214860E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.314 | TFLOPs: 19.62 | 31: iteration 17770/ 23189 | consumed samples: 4549120 | consumed tokens: 9316597760 | elapsed time per iteration (s): 0.78 | learning rate: 4.363E-05 | global batch size: 256 | lm loss: 2.207439E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.058 | TFLOPs: 19.79 | 31: iteration 17780/ 23189 | consumed samples: 4551680 | consumed tokens: 9321840640 | elapsed time per iteration (s): 0.81 | learning rate: 4.355E-05 | global batch size: 256 | lm loss: 2.206660E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.302 | TFLOPs: 19.20 | 31: iteration 17790/ 23189 | consumed samples: 4554240 | consumed tokens: 9327083520 | elapsed time per iteration (s): 0.80 | learning rate: 4.347E-05 | global batch size: 256 | lm loss: 2.169184E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.373 | TFLOPs: 19.44 | 31: iteration 17800/ 23189 | consumed samples: 4556800 | consumed tokens: 9332326400 | elapsed time per iteration (s): 0.79 | learning rate: 4.338E-05 | global batch size: 256 | lm loss: 2.202864E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.486 | TFLOPs: 19.51 | 31: iteration 17810/ 23189 | consumed samples: 4559360 | consumed tokens: 9337569280 | elapsed time per iteration (s): 0.82 | learning rate: 4.330E-05 | global batch size: 256 | lm loss: 2.199436E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.181 | TFLOPs: 18.89 | 31: iteration 17820/ 23189 | consumed samples: 4561920 | consumed tokens: 9342812160 | elapsed time per iteration (s): 0.84 | learning rate: 4.322E-05 | global batch size: 256 | lm loss: 2.192503E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.055 | TFLOPs: 18.33 | 31: iteration 17830/ 23189 | consumed samples: 4564480 | consumed tokens: 9348055040 | elapsed time per iteration (s): 0.91 | learning rate: 4.314E-05 | global batch size: 256 | lm loss: 2.203108E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.504 | TFLOPs: 17.09 | 31: iteration 17840/ 23189 | consumed samples: 4567040 | consumed tokens: 9353297920 | elapsed time per iteration (s): 0.78 | learning rate: 4.305E-05 | global batch size: 256 | lm loss: 2.186578E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.758 | TFLOPs: 19.77 | 31: iteration 17850/ 23189 | consumed samples: 4569600 | consumed tokens: 9358540800 | elapsed time per iteration (s): 0.84 | learning rate: 4.297E-05 | global batch size: 256 | lm loss: 2.187471E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.532 | TFLOPs: 18.48 | 31: iteration 17860/ 23189 | consumed samples: 4572160 | consumed tokens: 9363783680 | elapsed time per iteration (s): 0.80 | learning rate: 4.289E-05 | global batch size: 256 | lm loss: 2.175956E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.221 | TFLOPs: 19.25 | 31: iteration 17870/ 23189 | consumed samples: 4574720 | consumed tokens: 9369026560 | elapsed time per iteration (s): 0.80 | learning rate: 4.281E-05 | global batch size: 256 | lm loss: 2.200170E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.987 | TFLOPs: 19.42 | 31: iteration 17880/ 23189 | consumed samples: 4577280 | consumed tokens: 9374269440 | elapsed time per iteration (s): 0.84 | learning rate: 4.273E-05 | global batch size: 256 | lm loss: 2.199742E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.556 | TFLOPs: 18.36 | 31: iteration 17890/ 23189 | consumed samples: 4579840 | consumed tokens: 9379512320 | elapsed time per iteration (s): 0.79 | learning rate: 4.264E-05 | global batch size: 256 | lm loss: 2.172350E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.808 | TFLOPs: 19.59 | 31: iteration 17900/ 23189 | consumed samples: 4582400 | consumed tokens: 9384755200 | elapsed time per iteration (s): 0.80 | learning rate: 4.256E-05 | global batch size: 256 | lm loss: 2.230401E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.195 | TFLOPs: 19.37 | 31: iteration 17910/ 23189 | consumed samples: 4584960 | consumed tokens: 9389998080 | elapsed time per iteration (s): 0.81 | learning rate: 4.248E-05 | global batch size: 256 | lm loss: 2.143616E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.380 | TFLOPs: 19.14 | 31: iteration 17920/ 23189 | consumed samples: 4587520 | consumed tokens: 9395240960 | elapsed time per iteration (s): 0.82 | learning rate: 4.240E-05 | global batch size: 256 | lm loss: 2.186599E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.987 | TFLOPs: 18.87 | 31: iteration 17930/ 23189 | consumed samples: 4590080 | consumed tokens: 9400483840 | elapsed time per iteration (s): 0.85 | learning rate: 4.232E-05 | global batch size: 256 | lm loss: 2.205546E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 299.781 | TFLOPs: 18.14 | 31: iteration 17940/ 23189 | consumed samples: 4592640 | consumed tokens: 9405726720 | elapsed time per iteration (s): 0.82 | learning rate: 4.224E-05 | global batch size: 256 | lm loss: 2.192241E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.269 | TFLOPs: 18.95 | 31: iteration 17950/ 23189 | consumed samples: 4595200 | consumed tokens: 9410969600 | elapsed time per iteration (s): 0.80 | learning rate: 4.216E-05 | global batch size: 256 | lm loss: 2.201045E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.485 | TFLOPs: 19.39 | 31: iteration 17960/ 23189 | consumed samples: 4597760 | consumed tokens: 9416212480 | elapsed time per iteration (s): 0.80 | learning rate: 4.208E-05 | global batch size: 256 | lm loss: 2.177314E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.829 | TFLOPs: 19.47 | 31: iteration 17970/ 23189 | consumed samples: 4600320 | consumed tokens: 9421455360 | elapsed time per iteration (s): 0.86 | learning rate: 4.200E-05 | global batch size: 256 | lm loss: 2.185312E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 297.944 | TFLOPs: 18.02 | 31: iteration 17980/ 23189 | consumed samples: 4602880 | consumed tokens: 9426698240 | elapsed time per iteration (s): 0.77 | learning rate: 4.191E-05 | global batch size: 256 | lm loss: 2.205344E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.728 | TFLOPs: 20.07 | 31: iteration 17990/ 23189 | consumed samples: 4605440 | consumed tokens: 9431941120 | elapsed time per iteration (s): 0.88 | learning rate: 4.183E-05 | global batch size: 256 | lm loss: 2.191117E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.412 | TFLOPs: 17.57 | 0: [2022-11-28 21:45:46,897] [INFO] [logging.py:68:log_dist] [Rank 0] step=18000, skipped=0, lr=[4.175377042700692e-05, 4.175377042700692e-05, 4.175377042700692e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 18000/ 23189 | consumed samples: 4608000 | consumed tokens: 9437184000 | elapsed time per iteration (s): 0.81 | learning rate: 4.175E-05 | global batch size: 256 | lm loss: 2.192823E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.793 | TFLOPs: 19.04 | 0: steps: 18000 loss: 2.1589 iter time (s): 0.775 samples/sec: 330.377 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 18000 | lm loss value: 2.051949E+00 | lm loss PPL: 7.783054E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 18010/ 23189 | consumed samples: 4610560 | consumed tokens: 9442426880 | elapsed time per iteration (s): 0.80 | learning rate: 4.167E-05 | global batch size: 256 | lm loss: 2.209953E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.415 | TFLOPs: 19.38 | 31: iteration 18020/ 23189 | consumed samples: 4613120 | consumed tokens: 9447669760 | elapsed time per iteration (s): 0.84 | learning rate: 4.159E-05 | global batch size: 256 | lm loss: 2.200457E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.781 | TFLOPs: 18.38 | 31: iteration 18030/ 23189 | consumed samples: 4615680 | consumed tokens: 9452912640 | elapsed time per iteration (s): 0.83 | learning rate: 4.151E-05 | global batch size: 256 | lm loss: 2.169034E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.768 | TFLOPs: 18.62 | 31: iteration 18040/ 23189 | consumed samples: 4618240 | consumed tokens: 9458155520 | elapsed time per iteration (s): 0.83 | learning rate: 4.143E-05 | global batch size: 256 | lm loss: 2.193179E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.502 | TFLOPs: 18.72 | 31: iteration 18050/ 23189 | consumed samples: 4620800 | consumed tokens: 9463398400 | elapsed time per iteration (s): 0.78 | learning rate: 4.135E-05 | global batch size: 256 | lm loss: 2.189503E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.839 | TFLOPs: 19.89 | 31: iteration 18060/ 23189 | consumed samples: 4623360 | consumed tokens: 9468641280 | elapsed time per iteration (s): 0.79 | learning rate: 4.127E-05 | global batch size: 256 | lm loss: 2.167894E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.903 | TFLOPs: 19.53 | 31: iteration 18070/ 23189 | consumed samples: 4625920 | consumed tokens: 9473884160 | elapsed time per iteration (s): 0.78 | learning rate: 4.119E-05 | global batch size: 256 | lm loss: 2.201360E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.227 | TFLOPs: 19.74 | 31: iteration 18080/ 23189 | consumed samples: 4628480 | consumed tokens: 9479127040 | elapsed time per iteration (s): 0.84 | learning rate: 4.112E-05 | global batch size: 256 | lm loss: 2.175146E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.133 | TFLOPs: 18.46 | 31: iteration 18090/ 23189 | consumed samples: 4631040 | consumed tokens: 9484369920 | elapsed time per iteration (s): 0.81 | learning rate: 4.104E-05 | global batch size: 256 | lm loss: 2.201780E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.628 | TFLOPs: 19.03 | 31: iteration 18100/ 23189 | consumed samples: 4633600 | consumed tokens: 9489612800 | elapsed time per iteration (s): 0.77 | learning rate: 4.096E-05 | global batch size: 256 | lm loss: 2.184961E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.371 | TFLOPs: 20.05 | 31: iteration 18110/ 23189 | consumed samples: 4636160 | consumed tokens: 9494855680 | elapsed time per iteration (s): 0.81 | learning rate: 4.088E-05 | global batch size: 256 | lm loss: 2.216383E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.577 | TFLOPs: 19.09 | 31: iteration 18120/ 23189 | consumed samples: 4638720 | consumed tokens: 9500098560 | elapsed time per iteration (s): 0.74 | learning rate: 4.080E-05 | global batch size: 256 | lm loss: 2.215606E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.495 | TFLOPs: 20.84 | 31: iteration 18130/ 23189 | consumed samples: 4641280 | consumed tokens: 9505341440 | elapsed time per iteration (s): 0.76 | learning rate: 4.072E-05 | global batch size: 256 | lm loss: 2.202865E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.608 | TFLOPs: 20.36 | 31: iteration 18140/ 23189 | consumed samples: 4643840 | consumed tokens: 9510584320 | elapsed time per iteration (s): 0.79 | learning rate: 4.064E-05 | global batch size: 256 | lm loss: 2.173771E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.738 | TFLOPs: 19.65 | 31: iteration 18150/ 23189 | consumed samples: 4646400 | consumed tokens: 9515827200 | elapsed time per iteration (s): 0.77 | learning rate: 4.056E-05 | global batch size: 256 | lm loss: 2.163534E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.364 | TFLOPs: 20.05 | 31: iteration 18160/ 23189 | consumed samples: 4648960 | consumed tokens: 9521070080 | elapsed time per iteration (s): 0.76 | learning rate: 4.049E-05 | global batch size: 256 | lm loss: 2.147696E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.674 | TFLOPs: 20.31 | 31: iteration 18170/ 23189 | consumed samples: 4651520 | consumed tokens: 9526312960 | elapsed time per iteration (s): 0.74 | learning rate: 4.041E-05 | global batch size: 256 | lm loss: 2.170128E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.727 | TFLOPs: 21.04 | 31: iteration 18180/ 23189 | consumed samples: 4654080 | consumed tokens: 9531555840 | elapsed time per iteration (s): 0.82 | learning rate: 4.033E-05 | global batch size: 256 | lm loss: 2.178060E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.642 | TFLOPs: 18.91 | 31: iteration 18190/ 23189 | consumed samples: 4656640 | consumed tokens: 9536798720 | elapsed time per iteration (s): 0.75 | learning rate: 4.025E-05 | global batch size: 256 | lm loss: 2.173382E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.259 | TFLOPs: 20.52 | 31: iteration 18200/ 23189 | consumed samples: 4659200 | consumed tokens: 9542041600 | elapsed time per iteration (s): 0.76 | learning rate: 4.017E-05 | global batch size: 256 | lm loss: 2.204191E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.841 | TFLOPs: 20.32 | 31: iteration 18210/ 23189 | consumed samples: 4661760 | consumed tokens: 9547284480 | elapsed time per iteration (s): 0.73 | learning rate: 4.010E-05 | global batch size: 256 | lm loss: 2.153723E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.648 | TFLOPs: 21.15 | 31: iteration 18220/ 23189 | consumed samples: 4664320 | consumed tokens: 9552527360 | elapsed time per iteration (s): 0.73 | learning rate: 4.002E-05 | global batch size: 256 | lm loss: 2.213284E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.428 | TFLOPs: 21.20 | 31: iteration 18230/ 23189 | consumed samples: 4666880 | consumed tokens: 9557770240 | elapsed time per iteration (s): 0.74 | learning rate: 3.994E-05 | global batch size: 256 | lm loss: 2.172566E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.452 | TFLOPs: 21.02 | 31: iteration 18240/ 23189 | consumed samples: 4669440 | consumed tokens: 9563013120 | elapsed time per iteration (s): 0.76 | learning rate: 3.986E-05 | global batch size: 256 | lm loss: 2.165327E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.512 | TFLOPs: 20.48 | 31: iteration 18250/ 23189 | consumed samples: 4672000 | consumed tokens: 9568256000 | elapsed time per iteration (s): 0.77 | learning rate: 3.979E-05 | global batch size: 256 | lm loss: 2.186204E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.399 | TFLOPs: 20.05 | 31: iteration 18260/ 23189 | consumed samples: 4674560 | consumed tokens: 9573498880 | elapsed time per iteration (s): 0.75 | learning rate: 3.971E-05 | global batch size: 256 | lm loss: 2.153897E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.155 | TFLOPs: 20.70 | 31: iteration 18270/ 23189 | consumed samples: 4677120 | consumed tokens: 9578741760 | elapsed time per iteration (s): 0.74 | learning rate: 3.963E-05 | global batch size: 256 | lm loss: 2.172343E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.275 | TFLOPs: 20.83 | 31: iteration 18280/ 23189 | consumed samples: 4679680 | consumed tokens: 9583984640 | elapsed time per iteration (s): 0.81 | learning rate: 3.956E-05 | global batch size: 256 | lm loss: 2.200644E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.296 | TFLOPs: 19.01 | 31: iteration 18290/ 23189 | consumed samples: 4682240 | consumed tokens: 9589227520 | elapsed time per iteration (s): 0.78 | learning rate: 3.948E-05 | global batch size: 256 | lm loss: 2.185498E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.038 | TFLOPs: 19.91 | 31: iteration 18300/ 23189 | consumed samples: 4684800 | consumed tokens: 9594470400 | elapsed time per iteration (s): 0.78 | learning rate: 3.940E-05 | global batch size: 256 | lm loss: 2.206352E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.116 | TFLOPs: 19.91 | 31: iteration 18310/ 23189 | consumed samples: 4687360 | consumed tokens: 9599713280 | elapsed time per iteration (s): 0.72 | learning rate: 3.933E-05 | global batch size: 256 | lm loss: 2.216893E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.738 | TFLOPs: 21.64 | 31: iteration 18320/ 23189 | consumed samples: 4689920 | consumed tokens: 9604956160 | elapsed time per iteration (s): 0.78 | learning rate: 3.925E-05 | global batch size: 256 | lm loss: 2.167945E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.766 | TFLOPs: 19.89 | 31: iteration 18330/ 23189 | consumed samples: 4692480 | consumed tokens: 9610199040 | elapsed time per iteration (s): 0.74 | learning rate: 3.917E-05 | global batch size: 256 | lm loss: 2.190207E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.466 | TFLOPs: 20.96 | 31: iteration 18340/ 23189 | consumed samples: 4695040 | consumed tokens: 9615441920 | elapsed time per iteration (s): 0.78 | learning rate: 3.910E-05 | global batch size: 256 | lm loss: 2.195853E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.760 | TFLOPs: 19.83 | 31: iteration 18350/ 23189 | consumed samples: 4697600 | consumed tokens: 9620684800 | elapsed time per iteration (s): 0.77 | learning rate: 3.902E-05 | global batch size: 256 | lm loss: 2.196398E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.832 | TFLOPs: 20.01 | 31: iteration 18360/ 23189 | consumed samples: 4700160 | consumed tokens: 9625927680 | elapsed time per iteration (s): 0.76 | learning rate: 3.895E-05 | global batch size: 256 | lm loss: 2.162741E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.768 | TFLOPs: 20.49 | 31: iteration 18370/ 23189 | consumed samples: 4702720 | consumed tokens: 9631170560 | elapsed time per iteration (s): 0.78 | learning rate: 3.887E-05 | global batch size: 256 | lm loss: 2.221843E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.964 | TFLOPs: 19.90 | 31: iteration 18380/ 23189 | consumed samples: 4705280 | consumed tokens: 9636413440 | elapsed time per iteration (s): 0.74 | learning rate: 3.880E-05 | global batch size: 256 | lm loss: 2.191217E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.489 | TFLOPs: 20.96 | 31: iteration 18390/ 23189 | consumed samples: 4707840 | consumed tokens: 9641656320 | elapsed time per iteration (s): 0.75 | learning rate: 3.872E-05 | global batch size: 256 | lm loss: 2.209802E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.941 | TFLOPs: 20.69 | 31: iteration 18400/ 23189 | consumed samples: 4710400 | consumed tokens: 9646899200 | elapsed time per iteration (s): 0.75 | learning rate: 3.865E-05 | global batch size: 256 | lm loss: 2.179751E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.223 | TFLOPs: 20.58 | 31: iteration 18410/ 23189 | consumed samples: 4712960 | consumed tokens: 9652142080 | elapsed time per iteration (s): 0.80 | learning rate: 3.857E-05 | global batch size: 256 | lm loss: 2.158682E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.918 | TFLOPs: 19.41 | 31: iteration 18420/ 23189 | consumed samples: 4715520 | consumed tokens: 9657384960 | elapsed time per iteration (s): 0.75 | learning rate: 3.850E-05 | global batch size: 256 | lm loss: 2.183647E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.618 | TFLOPs: 20.73 | 31: iteration 18430/ 23189 | consumed samples: 4718080 | consumed tokens: 9662627840 | elapsed time per iteration (s): 0.78 | learning rate: 3.842E-05 | global batch size: 256 | lm loss: 2.200231E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.554 | TFLOPs: 19.82 | 31: iteration 18440/ 23189 | consumed samples: 4720640 | consumed tokens: 9667870720 | elapsed time per iteration (s): 0.78 | learning rate: 3.835E-05 | global batch size: 256 | lm loss: 2.205940E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.090 | TFLOPs: 19.91 | 31: iteration 18450/ 23189 | consumed samples: 4723200 | consumed tokens: 9673113600 | elapsed time per iteration (s): 0.75 | learning rate: 3.827E-05 | global batch size: 256 | lm loss: 2.169449E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.390 | TFLOPs: 20.53 | 31: iteration 18460/ 23189 | consumed samples: 4725760 | consumed tokens: 9678356480 | elapsed time per iteration (s): 0.84 | learning rate: 3.820E-05 | global batch size: 256 | lm loss: 2.156162E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.371 | TFLOPs: 18.47 | 31: iteration 18470/ 23189 | consumed samples: 4728320 | consumed tokens: 9683599360 | elapsed time per iteration (s): 0.81 | learning rate: 3.812E-05 | global batch size: 256 | lm loss: 2.176633E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.706 | TFLOPs: 19.22 | 31: iteration 18480/ 23189 | consumed samples: 4730880 | consumed tokens: 9688842240 | elapsed time per iteration (s): 0.81 | learning rate: 3.805E-05 | global batch size: 256 | lm loss: 2.164708E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.853 | TFLOPs: 19.05 | 31: iteration 18490/ 23189 | consumed samples: 4733440 | consumed tokens: 9694085120 | elapsed time per iteration (s): 0.75 | learning rate: 3.798E-05 | global batch size: 256 | lm loss: 2.181564E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.102 | TFLOPs: 20.70 | 31: iteration 18500/ 23189 | consumed samples: 4736000 | consumed tokens: 9699328000 | elapsed time per iteration (s): 0.76 | learning rate: 3.790E-05 | global batch size: 256 | lm loss: 2.190779E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.782 | TFLOPs: 20.37 | 31: iteration 18510/ 23189 | consumed samples: 4738560 | consumed tokens: 9704570880 | elapsed time per iteration (s): 0.76 | learning rate: 3.783E-05 | global batch size: 256 | lm loss: 2.177820E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.953 | TFLOPs: 20.51 | 31: iteration 18520/ 23189 | consumed samples: 4741120 | consumed tokens: 9709813760 | elapsed time per iteration (s): 0.77 | learning rate: 3.775E-05 | global batch size: 256 | lm loss: 2.157380E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.518 | TFLOPs: 20.18 | 31: iteration 18530/ 23189 | consumed samples: 4743680 | consumed tokens: 9715056640 | elapsed time per iteration (s): 0.74 | learning rate: 3.768E-05 | global batch size: 256 | lm loss: 2.181671E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.263 | TFLOPs: 21.07 | 31: iteration 18540/ 23189 | consumed samples: 4746240 | consumed tokens: 9720299520 | elapsed time per iteration (s): 0.77 | learning rate: 3.761E-05 | global batch size: 256 | lm loss: 2.200242E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.963 | TFLOPs: 20.14 | 31: iteration 18550/ 23189 | consumed samples: 4748800 | consumed tokens: 9725542400 | elapsed time per iteration (s): 0.75 | learning rate: 3.754E-05 | global batch size: 256 | lm loss: 2.202307E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.462 | TFLOPs: 20.72 | 31: iteration 18560/ 23189 | consumed samples: 4751360 | consumed tokens: 9730785280 | elapsed time per iteration (s): 0.72 | learning rate: 3.746E-05 | global batch size: 256 | lm loss: 2.193883E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.348 | TFLOPs: 21.44 | 31: iteration 18570/ 23189 | consumed samples: 4753920 | consumed tokens: 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consumed samples: 4761600 | consumed tokens: 9751756800 | elapsed time per iteration (s): 0.78 | learning rate: 3.717E-05 | global batch size: 256 | lm loss: 2.173853E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.620 | TFLOPs: 19.76 | 31: iteration 18610/ 23189 | consumed samples: 4764160 | consumed tokens: 9756999680 | elapsed time per iteration (s): 0.74 | learning rate: 3.710E-05 | global batch size: 256 | lm loss: 2.192065E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.212 | TFLOPs: 20.94 | 31: iteration 18620/ 23189 | consumed samples: 4766720 | consumed tokens: 9762242560 | elapsed time per iteration (s): 0.76 | learning rate: 3.703E-05 | global batch size: 256 | lm loss: 2.184512E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.926 | TFLOPs: 20.50 | 31: iteration 18630/ 23189 | consumed samples: 4769280 | consumed tokens: 9767485440 | elapsed time per iteration (s): 0.75 | learning rate: 3.696E-05 | global batch size: 256 | lm loss: 2.193992E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.460 | TFLOPs: 20.66 | 31: iteration 18640/ 23189 | consumed samples: 4771840 | consumed tokens: 9772728320 | elapsed time per iteration (s): 0.75 | learning rate: 3.688E-05 | global batch size: 256 | lm loss: 2.184632E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.171 | TFLOPs: 20.76 | 31: iteration 18650/ 23189 | consumed samples: 4774400 | consumed tokens: 9777971200 | elapsed time per iteration (s): 0.76 | learning rate: 3.681E-05 | global batch size: 256 | lm loss: 2.182117E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.801 | TFLOPs: 20.38 | 31: iteration 18660/ 23189 | consumed samples: 4776960 | consumed tokens: 9783214080 | elapsed time per iteration (s): 0.81 | learning rate: 3.674E-05 | global batch size: 256 | lm loss: 2.206480E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.930 | TFLOPs: 19.23 | 31: iteration 18670/ 23189 | consumed samples: 4779520 | consumed tokens: 9788456960 | elapsed time per iteration (s): 0.74 | learning rate: 3.667E-05 | global batch size: 256 | lm loss: 2.162377E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.149 | TFLOPs: 21.00 | 31: iteration 18680/ 23189 | consumed samples: 4782080 | consumed tokens: 9793699840 | elapsed time per iteration (s): 0.75 | learning rate: 3.660E-05 | global batch size: 256 | lm loss: 2.226489E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.658 | TFLOPs: 20.73 | 31: iteration 18690/ 23189 | consumed samples: 4784640 | consumed tokens: 9798942720 | elapsed time per iteration (s): 0.71 | learning rate: 3.653E-05 | global batch size: 256 | lm loss: 2.180129E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.009 | TFLOPs: 21.72 | 31: iteration 18700/ 23189 | consumed samples: 4787200 | consumed tokens: 9804185600 | elapsed time per iteration (s): 0.82 | learning rate: 3.645E-05 | global batch size: 256 | lm loss: 2.188192E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.900 | TFLOPs: 18.81 | 31: iteration 18710/ 23189 | consumed samples: 4789760 | consumed tokens: 9809428480 | elapsed time per iteration (s): 0.73 | learning rate: 3.638E-05 | global batch size: 256 | lm loss: 2.198144E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.556 | TFLOPs: 21.27 | 31: iteration 18720/ 23189 | consumed samples: 4792320 | consumed tokens: 9814671360 | elapsed time per iteration (s): 0.77 | learning rate: 3.631E-05 | global batch size: 256 | lm loss: 2.184164E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.058 | TFLOPs: 20.15 | 31: iteration 18730/ 23189 | consumed samples: 4794880 | consumed tokens: 9819914240 | elapsed time per iteration (s): 0.74 | learning rate: 3.624E-05 | global batch size: 256 | lm loss: 2.183435E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.666 | TFLOPs: 21.03 | 31: iteration 18740/ 23189 | consumed samples: 4797440 | consumed tokens: 9825157120 | elapsed time per iteration (s): 0.81 | learning rate: 3.617E-05 | global batch size: 256 | lm loss: 2.188077E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.263 | TFLOPs: 19.19 | 31: iteration 18750/ 23189 | consumed samples: 4800000 | consumed tokens: 9830400000 | elapsed time per iteration (s): 0.79 | learning rate: 3.610E-05 | global batch size: 256 | lm loss: 2.179035E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.785 | TFLOPs: 19.71 | 31: iteration 18760/ 23189 | consumed samples: 4802560 | consumed tokens: 9835642880 | elapsed time per iteration (s): 0.76 | learning rate: 3.603E-05 | global batch size: 256 | lm loss: 2.198206E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.401 | TFLOPs: 20.35 | 31: iteration 18770/ 23189 | consumed samples: 4805120 | consumed tokens: 9840885760 | elapsed time per iteration (s): 0.73 | learning rate: 3.596E-05 | global batch size: 256 | lm loss: 2.144269E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.865 | TFLOPs: 21.29 | 31: iteration 18780/ 23189 | consumed samples: 4807680 | consumed tokens: 9846128640 | elapsed time per iteration (s): 0.81 | learning rate: 3.589E-05 | global batch size: 256 | lm loss: 2.204284E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.552 | TFLOPs: 19.15 | 31: iteration 18790/ 23189 | consumed samples: 4810240 | consumed tokens: 9851371520 | elapsed time per iteration (s): 0.73 | learning rate: 3.582E-05 | global batch size: 256 | lm loss: 2.181148E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.907 | TFLOPs: 21.17 | 31: iteration 18800/ 23189 | consumed samples: 4812800 | consumed tokens: 9856614400 | elapsed time per iteration (s): 0.79 | learning rate: 3.575E-05 | global batch size: 256 | lm loss: 2.188756E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.648 | TFLOPs: 19.52 | 31: iteration 18810/ 23189 | consumed samples: 4815360 | consumed tokens: 9861857280 | elapsed time per iteration (s): 0.80 | learning rate: 3.568E-05 | global batch size: 256 | lm loss: 2.151454E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.545 | TFLOPs: 19.33 | 31: iteration 18820/ 23189 | consumed samples: 4817920 | consumed tokens: 9867100160 | elapsed time per iteration (s): 0.78 | learning rate: 3.561E-05 | global batch size: 256 | lm loss: 2.193476E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.204 | TFLOPs: 19.98 | 31: iteration 18830/ 23189 | consumed samples: 4820480 | consumed tokens: 9872343040 | elapsed time per iteration (s): 0.78 | learning rate: 3.554E-05 | global batch size: 256 | lm loss: 2.186583E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.046 | TFLOPs: 19.97 | 31: iteration 18840/ 23189 | consumed samples: 4823040 | consumed tokens: 9877585920 | elapsed time per iteration (s): 0.81 | learning rate: 3.547E-05 | global batch size: 256 | lm loss: 2.149501E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.032 | TFLOPs: 19.06 | 31: iteration 18850/ 23189 | consumed samples: 4825600 | consumed tokens: 9882828800 | elapsed time per iteration (s): 0.76 | learning rate: 3.541E-05 | global batch size: 256 | lm loss: 2.178188E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.274 | TFLOPs: 20.28 | 31: iteration 18860/ 23189 | consumed samples: 4828160 | consumed tokens: 9888071680 | elapsed time per iteration (s): 0.79 | learning rate: 3.534E-05 | global batch size: 256 | lm loss: 2.176880E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.324 | TFLOPs: 19.50 | 31: iteration 18870/ 23189 | consumed samples: 4830720 | consumed tokens: 9893314560 | elapsed time per iteration (s): 0.79 | learning rate: 3.527E-05 | global batch size: 256 | lm loss: 2.185170E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.705 | TFLOPs: 19.58 | 31: iteration 18880/ 23189 | consumed samples: 4833280 | consumed tokens: 9898557440 | elapsed time per iteration (s): 0.75 | learning rate: 3.520E-05 | global batch size: 256 | lm loss: 2.181440E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.217 | TFLOPs: 20.58 | 31: iteration 18890/ 23189 | consumed samples: 4835840 | consumed tokens: 9903800320 | elapsed time per iteration (s): 0.74 | learning rate: 3.513E-05 | global batch size: 256 | lm loss: 2.199094E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.814 | TFLOPs: 20.92 | 31: iteration 18900/ 23189 | consumed samples: 4838400 | consumed tokens: 9909043200 | elapsed time per iteration (s): 0.80 | learning rate: 3.506E-05 | global batch size: 256 | lm loss: 2.171827E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.415 | TFLOPs: 19.38 | 31: iteration 18910/ 23189 | consumed samples: 4840960 | consumed tokens: 9914286080 | elapsed time per iteration (s): 0.77 | learning rate: 3.499E-05 | global batch size: 256 | lm loss: 2.186863E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.093 | TFLOPs: 20.09 | 31: iteration 18920/ 23189 | consumed samples: 4843520 | consumed tokens: 9919528960 | elapsed time per iteration (s): 0.74 | learning rate: 3.493E-05 | global batch size: 256 | lm loss: 2.160553E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.847 | TFLOPs: 20.86 | 31: iteration 18930/ 23189 | consumed samples: 4846080 | consumed tokens: 9924771840 | elapsed time per iteration (s): 0.75 | learning rate: 3.486E-05 | global batch size: 256 | lm loss: 2.176517E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.704 | TFLOPs: 20.73 | 31: iteration 18940/ 23189 | consumed samples: 4848640 | consumed tokens: 9930014720 | elapsed time per iteration (s): 0.76 | learning rate: 3.479E-05 | global batch size: 256 | lm loss: 2.218946E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.369 | TFLOPs: 20.41 | 31: iteration 18950/ 23189 | consumed samples: 4851200 | consumed tokens: 9935257600 | elapsed time per iteration (s): 0.77 | learning rate: 3.472E-05 | global batch size: 256 | lm loss: 2.177398E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.710 | TFLOPs: 20.07 | 31: iteration 18960/ 23189 | consumed samples: 4853760 | consumed tokens: 9940500480 | elapsed time per iteration (s): 0.81 | learning rate: 3.466E-05 | global batch size: 256 | lm loss: 2.150508E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.260 | TFLOPs: 19.19 | 31: iteration 18970/ 23189 | consumed samples: 4856320 | consumed tokens: 9945743360 | elapsed time per iteration (s): 0.79 | learning rate: 3.459E-05 | global batch size: 256 | lm loss: 2.200632E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.761 | TFLOPs: 19.59 | 31: iteration 18980/ 23189 | consumed samples: 4858880 | consumed tokens: 9950986240 | elapsed time per iteration (s): 0.79 | learning rate: 3.452E-05 | global batch size: 256 | lm loss: 2.198286E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.055 | TFLOPs: 19.60 | 31: iteration 18990/ 23189 | consumed samples: 4861440 | consumed tokens: 9956229120 | elapsed time per iteration (s): 0.75 | learning rate: 3.445E-05 | global batch size: 256 | lm loss: 2.189662E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.763 | TFLOPs: 20.68 | 31: iteration 19000/ 23189 | consumed samples: 4864000 | consumed tokens: 9961472000 | elapsed time per iteration (s): 0.75 | learning rate: 3.439E-05 | global batch size: 256 | lm loss: 2.202162E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.794 | TFLOPs: 20.56 | 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 19000 | lm loss value: 2.124516E+00 | lm loss PPL: 8.368846E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 19010/ 23189 | consumed samples: 4866560 | consumed tokens: 9966714880 | elapsed time per iteration (s): 0.78 | learning rate: 3.432E-05 | global batch size: 256 | lm loss: 2.204261E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.919 | TFLOPs: 19.84 | 31: iteration 19020/ 23189 | consumed samples: 4869120 | consumed tokens: 9971957760 | elapsed time per iteration (s): 0.77 | learning rate: 3.425E-05 | global batch size: 256 | lm loss: 2.197563E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.696 | TFLOPs: 20.19 | 31: iteration 19030/ 23189 | consumed samples: 4871680 | consumed tokens: 9977200640 | elapsed time per iteration (s): 0.81 | learning rate: 3.419E-05 | global batch size: 256 | lm loss: 2.164662E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.360 | TFLOPs: 19.20 | 31: iteration 19040/ 23189 | consumed samples: 4874240 | consumed tokens: 9982443520 | elapsed time per iteration (s): 0.78 | learning rate: 3.412E-05 | global batch size: 256 | lm loss: 2.201834E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.948 | TFLOPs: 19.84 | 31: iteration 19050/ 23189 | consumed samples: 4876800 | consumed tokens: 9987686400 | elapsed time per iteration (s): 0.77 | learning rate: 3.406E-05 | global batch size: 256 | lm loss: 2.171162E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.498 | TFLOPs: 20.24 | 31: iteration 19060/ 23189 | consumed samples: 4879360 | consumed tokens: 9992929280 | elapsed time per iteration (s): 0.75 | learning rate: 3.399E-05 | global batch size: 256 | lm loss: 2.170018E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.363 | TFLOPs: 20.59 | 31: iteration 19070/ 23189 | consumed samples: 4881920 | consumed tokens: 9998172160 | elapsed time per iteration (s): 0.79 | learning rate: 3.392E-05 | global batch size: 256 | lm loss: 2.159401E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.730 | TFLOPs: 19.58 | 31: iteration 19080/ 23189 | consumed samples: 4884480 | consumed tokens: 10003415040 | elapsed time per iteration (s): 0.73 | learning rate: 3.386E-05 | global batch size: 256 | lm loss: 2.187744E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.096 | TFLOPs: 21.12 | 31: iteration 19090/ 23189 | consumed samples: 4887040 | consumed tokens: 10008657920 | elapsed time per iteration (s): 0.74 | learning rate: 3.379E-05 | global batch size: 256 | lm loss: 2.205682E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.714 | TFLOPs: 20.91 | 31: iteration 19100/ 23189 | consumed samples: 4889600 | consumed tokens: 10013900800 | elapsed time per iteration (s): 0.78 | learning rate: 3.373E-05 | global batch size: 256 | lm loss: 2.207452E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.510 | TFLOPs: 19.81 | 31: iteration 19110/ 23189 | consumed samples: 4892160 | consumed tokens: 10019143680 | elapsed time per iteration (s): 0.78 | learning rate: 3.366E-05 | global batch size: 256 | lm loss: 2.210032E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.137 | TFLOPs: 19.79 | 31: iteration 19120/ 23189 | consumed samples: 4894720 | consumed tokens: 10024386560 | elapsed time per iteration (s): 0.75 | learning rate: 3.360E-05 | global batch size: 256 | lm loss: 2.173613E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.262 | TFLOPs: 20.77 | 31: iteration 19130/ 23189 | consumed samples: 4897280 | consumed tokens: 10029629440 | elapsed time per iteration (s): 0.78 | learning rate: 3.353E-05 | global batch size: 256 | lm loss: 2.166842E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.775 | TFLOPs: 19.77 | 31: iteration 19140/ 23189 | consumed samples: 4899840 | consumed tokens: 10034872320 | elapsed time per iteration (s): 0.74 | learning rate: 3.347E-05 | global batch size: 256 | lm loss: 2.170723E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.781 | TFLOPs: 20.98 | 31: iteration 19150/ 23189 | consumed samples: 4902400 | consumed tokens: 10040115200 | elapsed time per iteration (s): 0.76 | learning rate: 3.340E-05 | global batch size: 256 | lm loss: 2.166397E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.438 | TFLOPs: 20.29 | 31: iteration 19160/ 23189 | consumed samples: 4904960 | consumed tokens: 10045358080 | elapsed time per iteration (s): 0.82 | learning rate: 3.334E-05 | global batch size: 256 | lm loss: 2.191364E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.783 | TFLOPs: 18.80 | 31: iteration 19170/ 23189 | consumed samples: 4907520 | consumed tokens: 10050600960 | elapsed time per iteration (s): 0.73 | learning rate: 3.327E-05 | global batch size: 256 | lm loss: 2.169235E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.093 | TFLOPs: 21.30 | 31: iteration 19180/ 23189 | consumed samples: 4910080 | consumed tokens: 10055843840 | elapsed time per iteration (s): 0.79 | learning rate: 3.321E-05 | global batch size: 256 | lm loss: 2.185805E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.933 | TFLOPs: 19.72 | 31: iteration 19190/ 23189 | consumed samples: 4912640 | consumed tokens: 10061086720 | elapsed time per iteration (s): 0.75 | learning rate: 3.314E-05 | global batch size: 256 | lm loss: 2.185776E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.874 | TFLOPs: 20.68 | 31: iteration 19200/ 23189 | consumed samples: 4915200 | consumed tokens: 10066329600 | elapsed time per iteration (s): 0.75 | learning rate: 3.308E-05 | global batch size: 256 | lm loss: 2.187894E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.566 | TFLOPs: 20.60 | 31: iteration 19210/ 23189 | consumed samples: 4917760 | consumed tokens: 10071572480 | elapsed time per iteration (s): 0.75 | learning rate: 3.302E-05 | global batch size: 256 | lm loss: 2.176853E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.141 | TFLOPs: 20.76 | 31: iteration 19220/ 23189 | consumed samples: 4920320 | consumed tokens: 10076815360 | elapsed time per iteration (s): 0.78 | learning rate: 3.295E-05 | global batch size: 256 | lm loss: 2.181684E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.586 | TFLOPs: 19.82 | 31: iteration 19230/ 23189 | consumed samples: 4922880 | consumed tokens: 10082058240 | elapsed time per iteration (s): 0.76 | learning rate: 3.289E-05 | global batch size: 256 | lm loss: 2.182039E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.988 | TFLOPs: 20.45 | 31: iteration 19240/ 23189 | consumed samples: 4925440 | consumed tokens: 10087301120 | elapsed time per iteration (s): 0.76 | learning rate: 3.283E-05 | global batch size: 256 | lm loss: 2.186656E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.961 | TFLOPs: 20.39 | 31: iteration 19250/ 23189 | consumed samples: 4928000 | consumed tokens: 10092544000 | elapsed time per iteration (s): 0.79 | learning rate: 3.276E-05 | global batch size: 256 | lm loss: 2.209876E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.371 | TFLOPs: 19.62 | 31: iteration 19260/ 23189 | consumed samples: 4930560 | consumed tokens: 10097786880 | elapsed time per iteration (s): 0.78 | learning rate: 3.270E-05 | global batch size: 256 | lm loss: 2.172892E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.227 | TFLOPs: 19.86 | 31: iteration 19270/ 23189 | consumed samples: 4933120 | consumed tokens: 10103029760 | elapsed time per iteration (s): 0.84 | learning rate: 3.264E-05 | global batch size: 256 | lm loss: 2.153742E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.943 | TFLOPs: 18.51 | 31: iteration 19280/ 23189 | consumed samples: 4935680 | consumed tokens: 10108272640 | elapsed time per iteration (s): 0.73 | learning rate: 3.257E-05 | global batch size: 256 | lm loss: 2.173208E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.390 | TFLOPs: 21.32 | 31: iteration 19290/ 23189 | consumed samples: 4938240 | consumed tokens: 10113515520 | elapsed time per iteration (s): 0.79 | learning rate: 3.251E-05 | global batch size: 256 | lm loss: 2.188494E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.022 | TFLOPs: 19.66 | 31: iteration 19300/ 23189 | consumed samples: 4940800 | consumed tokens: 10118758400 | elapsed time per iteration (s): 0.78 | learning rate: 3.245E-05 | global batch size: 256 | lm loss: 2.176910E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.606 | TFLOPs: 19.94 | 31: iteration 19310/ 23189 | consumed samples: 4943360 | consumed tokens: 10124001280 | elapsed time per iteration (s): 0.78 | learning rate: 3.239E-05 | global batch size: 256 | lm loss: 2.169674E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.582 | TFLOPs: 19.88 | 31: iteration 19320/ 23189 | consumed samples: 4945920 | consumed tokens: 10129244160 | elapsed time per iteration (s): 0.74 | learning rate: 3.232E-05 | global batch size: 256 | lm loss: 2.160024E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.097 | TFLOPs: 20.94 | 31: iteration 19330/ 23189 | consumed samples: 4948480 | consumed tokens: 10134487040 | elapsed time per iteration (s): 0.75 | learning rate: 3.226E-05 | global batch size: 256 | lm loss: 2.156748E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.090 | TFLOPs: 20.57 | 31: iteration 19340/ 23189 | consumed samples: 4951040 | consumed tokens: 10139729920 | elapsed time per iteration (s): 0.75 | learning rate: 3.220E-05 | global batch size: 256 | lm loss: 2.182744E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.747 | TFLOPs: 20.61 | 31: iteration 19350/ 23189 | consumed samples: 4953600 | consumed tokens: 10144972800 | elapsed time per iteration (s): 0.74 | learning rate: 3.214E-05 | global batch size: 256 | lm loss: 2.173917E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.986 | TFLOPs: 20.87 | 31: iteration 19360/ 23189 | consumed samples: 4956160 | consumed tokens: 10150215680 | elapsed time per iteration (s): 0.75 | learning rate: 3.208E-05 | global batch size: 256 | lm loss: 2.168622E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.406 | TFLOPs: 20.53 | 31: iteration 19370/ 23189 | consumed samples: 4958720 | consumed tokens: 10155458560 | elapsed time per iteration (s): 0.72 | learning rate: 3.201E-05 | global batch size: 256 | lm loss: 2.171605E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.843 | TFLOPs: 21.59 | 31: iteration 19380/ 23189 | consumed samples: 4961280 | consumed tokens: 10160701440 | elapsed time per iteration (s): 0.76 | learning rate: 3.195E-05 | global batch size: 256 | lm loss: 2.155406E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.280 | TFLOPs: 20.47 | 31: iteration 19390/ 23189 | consumed samples: 4963840 | consumed tokens: 10165944320 | elapsed time per iteration (s): 0.85 | learning rate: 3.189E-05 | global batch size: 256 | lm loss: 2.179756E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 302.767 | TFLOPs: 18.32 | 31: iteration 19400/ 23189 | consumed samples: 4966400 | consumed tokens: 10171187200 | elapsed time per iteration (s): 0.79 | learning rate: 3.183E-05 | global batch size: 256 | lm loss: 2.179827E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.890 | TFLOPs: 19.65 | 31: iteration 19410/ 23189 | consumed samples: 4968960 | consumed tokens: 10176430080 | elapsed time per iteration (s): 0.83 | learning rate: 3.177E-05 | global batch size: 256 | lm loss: 2.181308E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.691 | TFLOPs: 18.61 | 31: iteration 19420/ 23189 | consumed samples: 4971520 | consumed tokens: 10181672960 | elapsed time per iteration (s): 0.81 | learning rate: 3.171E-05 | global batch size: 256 | lm loss: 2.188839E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.413 | TFLOPs: 19.20 | 31: iteration 19430/ 23189 | consumed samples: 4974080 | consumed tokens: 10186915840 | elapsed time per iteration (s): 0.84 | learning rate: 3.165E-05 | global batch size: 256 | lm loss: 2.198637E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.624 | TFLOPs: 18.49 | 31: iteration 19440/ 23189 | consumed samples: 4976640 | consumed tokens: 10192158720 | elapsed time per iteration (s): 0.81 | learning rate: 3.159E-05 | global batch size: 256 | lm loss: 2.182244E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.562 | TFLOPs: 19.09 | 31: iteration 19450/ 23189 | consumed samples: 4979200 | consumed tokens: 10197401600 | elapsed time per iteration (s): 0.80 | learning rate: 3.153E-05 | global batch size: 256 | lm loss: 2.195976E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.724 | TFLOPs: 19.28 | 31: iteration 19460/ 23189 | consumed samples: 4981760 | consumed tokens: 10202644480 | elapsed time per iteration (s): 0.91 | learning rate: 3.147E-05 | global batch size: 256 | lm loss: 2.169514E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 280.905 | TFLOPs: 16.99 | 31: iteration 19470/ 23189 | consumed samples: 4984320 | consumed tokens: 10207887360 | elapsed time per iteration (s): 0.86 | learning rate: 3.141E-05 | global batch size: 256 | lm loss: 2.154375E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 298.566 | TFLOPs: 18.06 | 31: iteration 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second: 304.288 | TFLOPs: 18.41 | 31: iteration 19510/ 23189 | consumed samples: 4994560 | consumed tokens: 10228858880 | elapsed time per iteration (s): 0.78 | learning rate: 3.117E-05 | global batch size: 256 | lm loss: 2.191172E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.771 | TFLOPs: 19.77 | 31: iteration 19520/ 23189 | consumed samples: 4997120 | consumed tokens: 10234101760 | elapsed time per iteration (s): 0.80 | learning rate: 3.111E-05 | global batch size: 256 | lm loss: 2.189522E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.523 | TFLOPs: 19.39 | 31: iteration 19530/ 23189 | consumed samples: 4999680 | consumed tokens: 10239344640 | elapsed time per iteration (s): 0.79 | learning rate: 3.105E-05 | global batch size: 256 | lm loss: 2.161805E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.860 | TFLOPs: 19.65 | 31: iteration 19540/ 23189 | consumed samples: 5002240 | consumed tokens: 10244587520 | elapsed time per iteration (s): 0.78 | learning rate: 3.099E-05 | global batch size: 256 | lm loss: 2.180950E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.400 | TFLOPs: 19.75 | 31: iteration 19550/ 23189 | consumed samples: 5004800 | consumed tokens: 10249830400 | elapsed time per iteration (s): 0.84 | learning rate: 3.093E-05 | global batch size: 256 | lm loss: 2.203844E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.353 | TFLOPs: 18.47 | 31: iteration 19560/ 23189 | consumed samples: 5007360 | consumed tokens: 10255073280 | elapsed time per iteration (s): 0.79 | learning rate: 3.087E-05 | global batch size: 256 | lm loss: 2.171621E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.936 | TFLOPs: 19.66 | 31: iteration 19570/ 23189 | consumed samples: 5009920 | consumed tokens: 10260316160 | elapsed time per iteration (s): 0.80 | learning rate: 3.081E-05 | global batch size: 256 | lm loss: 2.159514E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.534 | TFLOPs: 19.39 | 31: iteration 19580/ 23189 | consumed samples: 5012480 | consumed tokens: 10265559040 | elapsed time per iteration (s): 0.78 | learning rate: 3.076E-05 | global batch size: 256 | lm loss: 2.182931E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.219 | TFLOPs: 19.92 | 31: iteration 19590/ 23189 | consumed samples: 5015040 | consumed tokens: 10270801920 | elapsed time per iteration (s): 0.77 | learning rate: 3.070E-05 | global batch size: 256 | lm loss: 2.156134E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.213 | TFLOPs: 20.04 | 31: iteration 19600/ 23189 | consumed samples: 5017600 | consumed tokens: 10276044800 | elapsed time per iteration (s): 0.71 | learning rate: 3.064E-05 | global batch size: 256 | lm loss: 2.150350E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.050 | TFLOPs: 21.72 | 31: iteration 19610/ 23189 | consumed samples: 5020160 | consumed tokens: 10281287680 | elapsed time per iteration (s): 0.80 | learning rate: 3.058E-05 | global batch size: 256 | lm loss: 2.181240E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.107 | TFLOPs: 19.31 | 31: iteration 19620/ 23189 | consumed samples: 5022720 | consumed tokens: 10286530560 | elapsed time per iteration (s): 0.79 | learning rate: 3.052E-05 | global batch size: 256 | lm loss: 2.187156E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.991 | TFLOPs: 19.60 | 31: iteration 19630/ 23189 | consumed samples: 5025280 | consumed tokens: 10291773440 | elapsed time per iteration (s): 0.77 | learning rate: 3.047E-05 | global batch size: 256 | lm loss: 2.185078E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.652 | TFLOPs: 20.06 | 31: iteration 19640/ 23189 | consumed samples: 5027840 | consumed tokens: 10297016320 | elapsed time per iteration (s): 0.80 | learning rate: 3.041E-05 | global batch size: 256 | lm loss: 2.199779E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.225 | TFLOPs: 19.25 | 31: iteration 19650/ 23189 | consumed samples: 5030400 | consumed tokens: 10302259200 | elapsed time per iteration (s): 0.73 | learning rate: 3.035E-05 | global batch size: 256 | lm loss: 2.148285E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.989 | TFLOPs: 21.17 | 31: iteration 19660/ 23189 | consumed samples: 5032960 | consumed tokens: 10307502080 | elapsed time per iteration (s): 0.74 | learning rate: 3.029E-05 | global batch size: 256 | lm loss: 2.178956E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.965 | TFLOPs: 20.99 | 31: iteration 19670/ 23189 | consumed samples: 5035520 | consumed tokens: 10312744960 | elapsed time per iteration (s): 0.75 | learning rate: 3.024E-05 | global batch size: 256 | lm loss: 2.164286E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.528 | TFLOPs: 20.72 | 31: iteration 19680/ 23189 | consumed samples: 5038080 | consumed tokens: 10317987840 | elapsed time per iteration (s): 0.71 | learning rate: 3.018E-05 | global batch size: 256 | lm loss: 2.155503E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.561 | TFLOPs: 21.87 | 31: iteration 19690/ 23189 | consumed samples: 5040640 | consumed tokens: 10323230720 | elapsed time per iteration (s): 0.77 | learning rate: 3.012E-05 | global batch size: 256 | lm loss: 2.161223E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.909 | TFLOPs: 20.20 | 31: iteration 19700/ 23189 | consumed samples: 5043200 | consumed tokens: 10328473600 | elapsed time per iteration (s): 0.75 | learning rate: 3.007E-05 | global batch size: 256 | lm loss: 2.171195E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.117 | TFLOPs: 20.76 | 31: iteration 19710/ 23189 | consumed samples: 5045760 | consumed tokens: 10333716480 | elapsed time per iteration (s): 0.72 | learning rate: 3.001E-05 | global batch size: 256 | lm loss: 2.163809E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.754 | TFLOPs: 21.58 | 31: iteration 19720/ 23189 | consumed samples: 5048320 | consumed tokens: 10338959360 | elapsed time per iteration (s): 0.73 | learning rate: 2.995E-05 | global batch size: 256 | lm loss: 2.152302E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.835 | TFLOPs: 21.29 | 31: iteration 19730/ 23189 | consumed samples: 5050880 | consumed tokens: 10344202240 | elapsed time per iteration (s): 0.74 | learning rate: 2.990E-05 | global batch size: 256 | lm loss: 2.168993E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | 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| consumed samples: 5089280 | consumed tokens: 10422845440 | elapsed time per iteration (s): 0.81 | learning rate: 2.907E-05 | global batch size: 256 | lm loss: 2.172803E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.778 | TFLOPs: 19.22 | 31: iteration 19890/ 23189 | consumed samples: 5091840 | consumed tokens: 10428088320 | elapsed time per iteration (s): 0.90 | learning rate: 2.902E-05 | global batch size: 256 | lm loss: 2.171620E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 284.151 | TFLOPs: 17.19 | 31: iteration 19900/ 23189 | consumed samples: 5094400 | consumed tokens: 10433331200 | elapsed time per iteration (s): 0.87 | learning rate: 2.896E-05 | global batch size: 256 | lm loss: 2.176478E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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number of nan iterations: 0 | samples per second: 297.129 | TFLOPs: 17.98 | 31: iteration 19940/ 23189 | consumed samples: 5104640 | consumed tokens: 10454302720 | elapsed time per iteration (s): 0.86 | learning rate: 2.875E-05 | global batch size: 256 | lm loss: 2.198642E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 299.125 | TFLOPs: 18.10 | 31: iteration 19950/ 23189 | consumed samples: 5107200 | consumed tokens: 10459545600 | elapsed time per iteration (s): 0.84 | learning rate: 2.870E-05 | global batch size: 256 | lm loss: 2.152124E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.639 | TFLOPs: 18.37 | 31: iteration 19960/ 23189 | consumed samples: 5109760 | consumed tokens: 10464788480 | elapsed time per iteration (s): 0.74 | learning rate: 2.864E-05 | global batch size: 256 | lm loss: 2.148978E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.027 | TFLOPs: 20.81 | 31: iteration 19970/ 23189 | consumed samples: 5112320 | consumed tokens: 10470031360 | elapsed time per iteration (s): 0.85 | learning rate: 2.859E-05 | global batch size: 256 | lm loss: 2.186702E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 302.056 | TFLOPs: 18.27 | 31: iteration 19980/ 23189 | consumed samples: 5114880 | consumed tokens: 10475274240 | elapsed time per iteration (s): 0.81 | learning rate: 2.854E-05 | global batch size: 256 | lm loss: 2.192079E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.240 | TFLOPs: 19.07 | 31: iteration 19990/ 23189 | consumed samples: 5117440 | consumed tokens: 10480517120 | elapsed time per iteration (s): 0.79 | learning rate: 2.849E-05 | global batch size: 256 | lm loss: 2.186373E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.499 | TFLOPs: 19.63 | 0: [2022-11-28 22:11:42,810] [INFO] [logging.py:68:log_dist] [Rank 0] step=20000, skipped=0, lr=[2.8435527737759598e-05, 2.8435527737759598e-05, 2.8435527737759598e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 20000/ 23189 | consumed samples: 5120000 | consumed tokens: 10485760000 | elapsed time per iteration (s): 0.76 | learning rate: 2.844E-05 | global batch size: 256 | lm loss: 2.203431E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.939 | TFLOPs: 20.26 | 0: steps: 20000 loss: 2.1706 iter time (s): 0.775 samples/sec: 330.433 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 20000 | lm loss value: 2.090554E+00 | lm loss PPL: 8.089397E+00 | 31: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 20000 to checkpoints_1b112b 0: [2022-11-28 22:11:43,390] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step20000 is begin to save! 0: [2022-11-28 22:11:43,479] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_1b112b/global_step20000/layer_01-model_00-model_states.pt... 0: [2022-11-28 22:11:43,894] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step20000/layer_01-model_00-model_states.pt. 0: [2022-11-28 22:11:43,894] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_1b112b/global_step20000/layer_03-model_00-model_states.pt... 0: [2022-11-28 22:11:43,975] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step20000/layer_03-model_00-model_states.pt. 0: [2022-11-28 22:11:43,976] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_185_mp_rank_00_optim_states.pt 23: [2022-11-28 22:11:46,051] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 19: [2022-11-28 22:11:46,053] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_155_mp_rank_00_optim_states.pt. 19: [2022-11-28 22:11:46,053] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_155_mp_rank_00_optim_states.pt 19: [2022-11-28 22:11:46,053] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 19: [2022-11-28 22:11:46,053] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_153_mp_rank_00_optim_states.pt. 8: [2022-11-28 22:11:46,053] [INFO] 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[2022-11-28 22:11:46,120] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_82_mp_rank_00_optim_states.pt 10: [2022-11-28 22:11:46,120] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 10: [2022-11-28 22:11:46,120] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 10: [2022-11-28 22:11:46,120] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 10: [2022-11-28 22:11:46,120] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 19: [2022-11-28 22:11:46,122] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_157_mp_rank_00_optim_states.pt. 19: [2022-11-28 22:11:46,122] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 20: [2022-11-28 22:11:46,262] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_162_mp_rank_00_optim_states.pt. 22: [2022-11-28 22:11:46,262] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_180_mp_rank_00_optim_states.pt 20: [2022-11-28 22:11:46,262] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_162_mp_rank_00_optim_states.pt 22: [2022-11-28 22:11:46,262] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 20: [2022-11-28 22:11:46,262] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 1: [2022-11-28 22:11:46,262] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 5: [2022-11-28 22:11:46,263] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2022-11-28 22:11:46,263] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 4: [2022-11-28 22:11:46,263] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 10: [2022-11-28 22:11:46,263] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_83_mp_rank_00_optim_states.pt. 10: [2022-11-28 22:11:46,264] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_83_mp_rank_00_optim_states.pt 4: [2022-11-28 22:11:46,263] [INFO] 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checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2022-11-28 22:11:46,268] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2022-11-28 22:11:46,268] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 25: [2022-11-28 22:11:46,270] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_206_mp_rank_00_optim_states.pt. 25: [2022-11-28 22:11:46,270] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_206_mp_rank_00_optim_states.pt 25: [2022-11-28 22:11:46,270] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 16: [2022-11-28 22:11:46,281] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_128_mp_rank_00_optim_states.pt. 16: [2022-11-28 22:11:46,281] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step20000/bf16_zero_pp_rank_128_mp_rank_00_optim_states.pt 16: [2022-11-28 22:11:46,281] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 0: successfully saved checkpoint at iteration 20000 to checkpoints_1b112b 31: time (ms) | save-checkpoint: 3063.58 31: iteration 20010/ 23189 | consumed samples: 5122560 | consumed tokens: 10491002880 | elapsed time per iteration (s): 1.09 | learning rate: 2.838E-05 | global batch size: 256 | lm loss: 2.179020E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 235.382 | TFLOPs: 14.24 | 31: iteration 20020/ 23189 | consumed samples: 5125120 | consumed tokens: 10496245760 | elapsed time per iteration (s): 0.75 | learning rate: 2.833E-05 | global batch size: 256 | lm loss: 2.154098E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.880 | TFLOPs: 20.56 | 31: iteration 20030/ 23189 | consumed samples: 5127680 | consumed tokens: 10501488640 | elapsed time per iteration (s): 0.76 | learning rate: 2.828E-05 | global batch size: 256 | lm loss: 2.181478E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.485 | TFLOPs: 20.30 | 31: iteration 20040/ 23189 | consumed samples: 5130240 | consumed tokens: 10506731520 | elapsed time per iteration (s): 0.80 | learning rate: 2.823E-05 | global batch size: 256 | lm loss: 2.181426E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.258 | TFLOPs: 19.44 | 31: iteration 20050/ 23189 | consumed samples: 5132800 | consumed tokens: 10511974400 | elapsed time per iteration (s): 0.80 | learning rate: 2.818E-05 | global batch size: 256 | lm loss: 2.160768E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.928 | TFLOPs: 19.42 | 31: iteration 20060/ 23189 | consumed samples: 5135360 | consumed tokens: 10517217280 | elapsed time per iteration (s): 0.81 | learning rate: 2.813E-05 | global batch size: 256 | lm loss: 2.179618E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.276 | TFLOPs: 19.07 | 31: iteration 20070/ 23189 | consumed samples: 5137920 | consumed tokens: 10522460160 | elapsed time per iteration (s): 0.81 | learning rate: 2.807E-05 | global batch size: 256 | lm loss: 2.146486E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.121 | TFLOPs: 19.19 | 31: iteration 20080/ 23189 | consumed samples: 5140480 | consumed tokens: 10527703040 | elapsed time per iteration (s): 0.83 | learning rate: 2.802E-05 | global batch size: 256 | lm loss: 2.161065E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.045 | TFLOPs: 18.64 | 31: iteration 20090/ 23189 | consumed samples: 5143040 | consumed tokens: 10532945920 | elapsed time per iteration (s): 0.80 | learning rate: 2.797E-05 | global batch size: 256 | lm loss: 2.133624E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.243 | TFLOPs: 19.37 | 31: iteration 20100/ 23189 | consumed samples: 5145600 | consumed tokens: 10538188800 | elapsed time per iteration (s): 1.07 | learning rate: 2.792E-05 | global batch size: 256 | lm loss: 2.190459E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 239.625 | TFLOPs: 14.50 | 31: iteration 20110/ 23189 | consumed samples: 5148160 | consumed tokens: 10543431680 | elapsed time per iteration (s): 0.79 | learning rate: 2.787E-05 | global batch size: 256 | lm loss: 2.148335E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.802 | TFLOPs: 19.65 | 31: iteration 20120/ 23189 | consumed samples: 5150720 | consumed tokens: 10548674560 | elapsed time per iteration (s): 0.85 | learning rate: 2.782E-05 | global batch size: 256 | lm loss: 2.160769E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 299.667 | TFLOPs: 18.13 | 31: iteration 20130/ 23189 | consumed samples: 5153280 | consumed tokens: 10553917440 | elapsed time per iteration (s): 0.78 | learning rate: 2.777E-05 | global batch size: 256 | lm loss: 2.171458E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.246 | TFLOPs: 19.80 | 31: iteration 20140/ 23189 | consumed samples: 5155840 | consumed tokens: 10559160320 | elapsed time per iteration (s): 0.81 | learning rate: 2.772E-05 | global batch size: 256 | lm loss: 2.164043E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.400 | TFLOPs: 19.08 | 31: iteration 20150/ 23189 | consumed samples: 5158400 | consumed tokens: 10564403200 | elapsed time per iteration (s): 0.81 | learning rate: 2.767E-05 | global batch size: 256 | lm loss: 2.180878E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.554 | TFLOPs: 19.03 | 31: iteration 20160/ 23189 | consumed samples: 5160960 | consumed tokens: 10569646080 | elapsed time per iteration (s): 0.77 | learning rate: 2.762E-05 | global batch size: 256 | lm loss: 2.210452E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.731 | TFLOPs: 20.07 | 31: iteration 20170/ 23189 | consumed samples: 5163520 | consumed tokens: 10574888960 | elapsed time per iteration (s): 0.79 | learning rate: 2.757E-05 | global batch size: 256 | lm loss: 2.168854E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.736 | TFLOPs: 19.59 | 31: iteration 20180/ 23189 | consumed samples: 5166080 | consumed tokens: 10580131840 | elapsed time per iteration (s): 0.80 | learning rate: 2.752E-05 | global batch size: 256 | lm loss: 2.173978E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.306 | TFLOPs: 19.32 | 31: iteration 20190/ 23189 | consumed samples: 5168640 | consumed tokens: 10585374720 | elapsed time per iteration (s): 0.77 | learning rate: 2.747E-05 | global batch size: 256 | lm loss: 2.174030E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.799 | TFLOPs: 20.13 | 31: iteration 20200/ 23189 | consumed samples: 5171200 | consumed tokens: 10590617600 | elapsed time per iteration (s): 0.79 | learning rate: 2.743E-05 | global batch size: 256 | lm loss: 2.180193E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.498 | TFLOPs: 19.69 | 31: iteration 20210/ 23189 | consumed samples: 5173760 | consumed tokens: 10595860480 | elapsed time per iteration (s): 0.75 | learning rate: 2.738E-05 | global batch size: 256 | lm loss: 2.129805E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.005 | TFLOPs: 20.69 | 31: iteration 20220/ 23189 | consumed samples: 5176320 | consumed tokens: 10601103360 | elapsed time per iteration (s): 0.81 | learning rate: 2.733E-05 | global batch size: 256 | lm loss: 2.152699E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.098 | TFLOPs: 19.06 | 31: iteration 20230/ 23189 | consumed samples: 5178880 | consumed tokens: 10606346240 | elapsed time per iteration (s): 0.76 | learning rate: 2.728E-05 | global batch size: 256 | lm loss: 2.169878E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.715 | TFLOPs: 20.49 | 31: iteration 20240/ 23189 | consumed samples: 5181440 | consumed tokens: 10611589120 | elapsed time per iteration (s): 0.86 | learning rate: 2.723E-05 | global batch size: 256 | lm loss: 2.167965E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 298.740 | TFLOPs: 18.07 | 31: iteration 20250/ 23189 | consumed samples: 5184000 | consumed tokens: 10616832000 | elapsed time per iteration (s): 0.78 | learning rate: 2.718E-05 | global batch size: 256 | lm loss: 2.158260E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.485 | TFLOPs: 19.81 | 31: iteration 20260/ 23189 | consumed samples: 5186560 | consumed tokens: 10622074880 | elapsed time per iteration (s): 0.80 | learning rate: 2.713E-05 | global batch size: 256 | lm loss: 2.162761E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.475 | TFLOPs: 19.27 | 31: iteration 20270/ 23189 | consumed samples: 5189120 | consumed tokens: 10627317760 | elapsed time per iteration (s): 0.82 | learning rate: 2.709E-05 | global batch size: 256 | lm loss: 2.166756E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.881 | TFLOPs: 18.81 | 31: iteration 20280/ 23189 | consumed samples: 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31: iteration 20310/ 23189 | consumed samples: 5199360 | consumed tokens: 10648289280 | elapsed time per iteration (s): 0.80 | learning rate: 2.690E-05 | global batch size: 256 | lm loss: 2.157289E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.127 | TFLOPs: 19.31 | 31: iteration 20320/ 23189 | consumed samples: 5201920 | consumed tokens: 10653532160 | elapsed time per iteration (s): 0.74 | learning rate: 2.685E-05 | global batch size: 256 | lm loss: 2.173272E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.357 | TFLOPs: 20.95 | 31: iteration 20330/ 23189 | consumed samples: 5204480 | consumed tokens: 10658775040 | elapsed time per iteration (s): 0.73 | learning rate: 2.680E-05 | global batch size: 256 | lm loss: 2.190358E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.372 | TFLOPs: 21.32 | 31: iteration 20340/ 23189 | consumed samples: 5207040 | consumed tokens: 10664017920 | elapsed time per iteration (s): 0.77 | learning rate: 2.675E-05 | global batch size: 256 | lm loss: 2.161936E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.133 | TFLOPs: 20.09 | 31: iteration 20350/ 23189 | consumed samples: 5209600 | consumed tokens: 10669260800 | elapsed time per iteration (s): 0.77 | learning rate: 2.671E-05 | global batch size: 256 | lm loss: 2.133563E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.733 | TFLOPs: 20.01 | 31: iteration 20360/ 23189 | consumed samples: 5212160 | consumed tokens: 10674503680 | elapsed time per iteration (s): 0.75 | learning rate: 2.666E-05 | global batch size: 256 | lm loss: 2.175786E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.318 | TFLOPs: 20.77 | 31: iteration 20370/ 23189 | consumed samples: 5214720 | consumed tokens: 10679746560 | elapsed time per iteration (s): 0.75 | learning rate: 2.661E-05 | global batch size: 256 | lm loss: 2.150359E+00 | grad norm: 0.159 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.157 | TFLOPs: 20.64 | 31: iteration 20380/ 23189 | consumed samples: 5217280 | consumed tokens: 10684989440 | elapsed time per iteration (s): 0.80 | learning rate: 2.657E-05 | global batch size: 256 | lm loss: 2.174861E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.377 | TFLOPs: 19.26 | 31: iteration 20390/ 23189 | consumed samples: 5219840 | consumed tokens: 10690232320 | elapsed time per iteration (s): 0.79 | learning rate: 2.652E-05 | global batch size: 256 | lm loss: 2.147111E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.295 | TFLOPs: 19.68 | 31: iteration 20400/ 23189 | consumed samples: 5222400 | consumed tokens: 10695475200 | elapsed time per iteration (s): 0.78 | learning rate: 2.648E-05 | global batch size: 256 | lm loss: 2.197021E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.201 | TFLOPs: 19.98 | 31: iteration 20410/ 23189 | consumed samples: 5224960 | consumed tokens: 10700718080 | elapsed time per iteration (s): 0.75 | learning rate: 2.643E-05 | global batch size: 256 | lm loss: 2.153877E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.916 | TFLOPs: 20.62 | 31: iteration 20420/ 23189 | consumed samples: 5227520 | consumed tokens: 10705960960 | elapsed time per iteration (s): 0.75 | learning rate: 2.638E-05 | global batch size: 256 | lm loss: 2.184317E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.514 | TFLOPs: 20.72 | 31: iteration 20430/ 23189 | consumed samples: 5230080 | consumed tokens: 10711203840 | elapsed time per iteration (s): 0.80 | learning rate: 2.634E-05 | global batch size: 256 | lm loss: 2.176400E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.204 | TFLOPs: 19.25 | 31: iteration 20440/ 23189 | consumed samples: 5232640 | consumed tokens: 10716446720 | elapsed time per iteration (s): 0.83 | learning rate: 2.629E-05 | global batch size: 256 | lm loss: 2.176616E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.277 | TFLOPs: 18.65 | 31: iteration 20450/ 23189 | consumed samples: 5235200 | consumed tokens: 10721689600 | elapsed time per iteration 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second: 348.307 | TFLOPs: 21.07 | 31: iteration 20540/ 23189 | consumed samples: 5258240 | consumed tokens: 10768875520 | elapsed time per iteration (s): 0.74 | learning rate: 2.585E-05 | global batch size: 256 | lm loss: 2.153461E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.451 | TFLOPs: 20.90 | 31: iteration 20550/ 23189 | consumed samples: 5260800 | consumed tokens: 10774118400 | elapsed time per iteration (s): 0.73 | learning rate: 2.581E-05 | global batch size: 256 | lm loss: 2.184367E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.196 | TFLOPs: 21.13 | 31: iteration 20560/ 23189 | consumed samples: 5263360 | consumed tokens: 10779361280 | elapsed time per iteration (s): 0.74 | learning rate: 2.576E-05 | global batch size: 256 | lm loss: 2.170397E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.444 | TFLOPs: 21.02 | 31: iteration 20570/ 23189 | consumed samples: 5265920 | consumed tokens: 10784604160 | elapsed time per iteration (s): 0.77 | learning rate: 2.572E-05 | global batch size: 256 | lm loss: 2.160530E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.642 | TFLOPs: 20.12 | 31: iteration 20580/ 23189 | consumed samples: 5268480 | consumed tokens: 10789847040 | elapsed time per iteration (s): 0.77 | learning rate: 2.568E-05 | global batch size: 256 | lm loss: 2.142703E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.455 | TFLOPs: 20.11 | 31: iteration 20590/ 23189 | consumed samples: 5271040 | consumed tokens: 10795089920 | elapsed time per iteration (s): 0.76 | learning rate: 2.563E-05 | global batch size: 256 | lm loss: 2.172481E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.573 | TFLOPs: 20.36 | 31: iteration 20600/ 23189 | consumed samples: 5273600 | consumed tokens: 10800332800 | elapsed time per iteration (s): 0.77 | learning rate: 2.559E-05 | global batch size: 256 | lm loss: 2.151693E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.847 | TFLOPs: 20.14 | 31: iteration 20610/ 23189 | consumed samples: 5276160 | consumed tokens: 10805575680 | elapsed time per iteration (s): 0.74 | learning rate: 2.555E-05 | global batch size: 256 | lm loss: 2.156542E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.578 | TFLOPs: 21.03 | 31: iteration 20620/ 23189 | consumed samples: 5278720 | consumed tokens: 10810818560 | elapsed time per iteration (s): 0.76 | learning rate: 2.551E-05 | global batch size: 256 | lm loss: 2.146987E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.708 | TFLOPs: 20.31 | 31: iteration 20630/ 23189 | consumed samples: 5281280 | consumed tokens: 10816061440 | elapsed time per iteration (s): 0.74 | learning rate: 2.546E-05 | global batch size: 256 | lm loss: 2.197443E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.751 | TFLOPs: 20.80 | 31: iteration 20640/ 23189 | consumed samples: 5283840 | consumed tokens: 10821304320 | elapsed time per iteration (s): 0.73 | learning rate: 2.542E-05 | global batch size: 256 | lm loss: 2.175301E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.103 | TFLOPs: 21.18 | 31: iteration 20650/ 23189 | consumed samples: 5286400 | consumed tokens: 10826547200 | elapsed time per iteration (s): 0.78 | learning rate: 2.538E-05 | global batch size: 256 | lm loss: 2.170058E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.627 | TFLOPs: 19.76 | 31: iteration 20660/ 23189 | consumed samples: 5288960 | consumed tokens: 10831790080 | elapsed time per iteration (s): 0.79 | learning rate: 2.534E-05 | global batch size: 256 | lm loss: 2.194284E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.093 | TFLOPs: 19.55 | 31: iteration 20670/ 23189 | consumed samples: 5291520 | consumed tokens: 10837032960 | elapsed time per iteration (s): 0.77 | learning rate: 2.530E-05 | global batch size: 256 | lm loss: 2.170757E+00 | grad norm: 0.157 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.995 | TFLOPs: 20.02 | 31: iteration 20680/ 23189 | consumed samples: 5294080 | consumed tokens: 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| consumed samples: 5301760 | consumed tokens: 10858004480 | elapsed time per iteration (s): 0.76 | learning rate: 2.513E-05 | global batch size: 256 | lm loss: 2.150417E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.221 | TFLOPs: 20.40 | 31: iteration 20720/ 23189 | consumed samples: 5304320 | consumed tokens: 10863247360 | elapsed time per iteration (s): 0.80 | learning rate: 2.509E-05 | global batch size: 256 | lm loss: 2.156203E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.130 | TFLOPs: 19.37 | 31: iteration 20730/ 23189 | consumed samples: 5306880 | consumed tokens: 10868490240 | elapsed time per iteration (s): 0.76 | learning rate: 2.505E-05 | global batch size: 256 | lm loss: 2.168807E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.032 | TFLOPs: 20.51 | 31: iteration 20740/ 23189 | consumed samples: 5309440 | consumed tokens: 10873733120 | elapsed time per iteration (s): 0.80 | learning rate: 2.501E-05 | global batch size: 256 | lm loss: 2.156008E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.612 | TFLOPs: 19.40 | 31: iteration 20750/ 23189 | consumed samples: 5312000 | consumed tokens: 10878976000 | elapsed time per iteration (s): 0.72 | learning rate: 2.497E-05 | global batch size: 256 | lm loss: 2.170847E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.789 | TFLOPs: 21.46 | 31: iteration 20760/ 23189 | consumed samples: 5314560 | consumed tokens: 10884218880 | elapsed time per iteration (s): 0.76 | learning rate: 2.493E-05 | global batch size: 256 | lm loss: 2.176000E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.703 | TFLOPs: 20.43 | 31: iteration 20770/ 23189 | consumed samples: 5317120 | consumed tokens: 10889461760 | elapsed time per iteration (s): 0.83 | learning rate: 2.489E-05 | global batch size: 256 | lm loss: 2.168871E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 306.749 | TFLOPs: 18.56 | 31: iteration 20780/ 23189 | consumed samples: 5319680 | consumed tokens: 10894704640 | elapsed time per iteration (s): 0.82 | learning rate: 2.485E-05 | global batch size: 256 | lm loss: 2.167584E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.093 | TFLOPs: 18.94 | 31: iteration 20790/ 23189 | consumed samples: 5322240 | consumed tokens: 10899947520 | elapsed time per iteration (s): 0.79 | learning rate: 2.481E-05 | global batch size: 256 | lm loss: 2.171035E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.319 | TFLOPs: 19.68 | 31: iteration 20800/ 23189 | consumed samples: 5324800 | consumed tokens: 10905190400 | elapsed time per iteration (s): 0.76 | learning rate: 2.477E-05 | global batch size: 256 | lm loss: 2.194767E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.717 | TFLOPs: 20.37 | 31: iteration 20810/ 23189 | consumed samples: 5327360 | consumed tokens: 10910433280 | elapsed time per iteration (s): 0.73 | learning rate: 2.473E-05 | global batch size: 256 | lm loss: 2.168442E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.668 | TFLOPs: 21.09 | 31: iteration 20820/ 23189 | consumed samples: 5329920 | consumed tokens: 10915676160 | elapsed time per iteration (s): 0.85 | learning rate: 2.469E-05 | global batch size: 256 | lm loss: 2.169865E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 300.680 | TFLOPs: 18.19 | 31: iteration 20830/ 23189 | consumed samples: 5332480 | consumed tokens: 10920919040 | elapsed time per iteration (s): 0.83 | learning rate: 2.465E-05 | global batch size: 256 | lm loss: 2.137388E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.770 | TFLOPs: 18.68 | 31: iteration 20840/ 23189 | consumed samples: 5335040 | consumed tokens: 10926161920 | elapsed time per iteration (s): 0.85 | learning rate: 2.461E-05 | global batch size: 256 | lm loss: 2.159567E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 300.984 | TFLOPs: 18.21 | 31: iteration 20850/ 23189 | consumed samples: 5337600 | consumed tokens: 10931404800 | elapsed time per iteration (s): 0.82 | learning rate: 2.457E-05 | global batch size: 256 | lm loss: 2.171826E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.735 | TFLOPs: 18.86 | 31: iteration 20860/ 23189 | consumed samples: 5340160 | consumed tokens: 10936647680 | elapsed time per iteration (s): 0.77 | learning rate: 2.453E-05 | global batch size: 256 | lm loss: 2.173365E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.920 | TFLOPs: 20.08 | 31: iteration 20870/ 23189 | consumed samples: 5342720 | consumed tokens: 10941890560 | elapsed time per iteration (s): 0.75 | learning rate: 2.449E-05 | global batch size: 256 | lm loss: 2.185879E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.524 | TFLOPs: 20.66 | 31: iteration 20880/ 23189 | consumed samples: 5345280 | consumed tokens: 10947133440 | elapsed time per iteration (s): 0.79 | learning rate: 2.446E-05 | global batch size: 256 | lm loss: 2.172934E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.016 | TFLOPs: 19.60 | 31: iteration 20890/ 23189 | consumed samples: 5347840 | consumed tokens: 10952376320 | elapsed time per iteration (s): 0.78 | learning rate: 2.442E-05 | global batch size: 256 | lm loss: 2.156524E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.143 | TFLOPs: 19.91 | 31: iteration 20900/ 23189 | consumed samples: 5350400 | consumed tokens: 10957619200 | elapsed time per iteration (s): 0.83 | learning rate: 2.438E-05 | global batch size: 256 | lm loss: 2.159124E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.791 | TFLOPs: 18.74 | 31: iteration 20910/ 23189 | consumed samples: 5352960 | consumed tokens: 10962862080 | elapsed time per iteration (s): 0.86 | learning rate: 2.434E-05 | global batch size: 256 | lm loss: 2.156601E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 298.836 | TFLOPs: 18.08 | 31: iteration 20920/ 23189 | consumed samples: 5355520 | consumed tokens: 10968104960 | elapsed time per iteration (s): 0.75 | learning rate: 2.430E-05 | global batch size: 256 | lm loss: 2.161810E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.242 | TFLOPs: 20.52 | 31: iteration 20930/ 23189 | consumed samples: 5358080 | consumed tokens: 10973347840 | elapsed time per iteration (s): 0.73 | learning rate: 2.427E-05 | global batch size: 256 | lm loss: 2.166029E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.461 | TFLOPs: 21.20 | 31: iteration 20940/ 23189 | consumed samples: 5360640 | consumed tokens: 10978590720 | elapsed time per iteration (s): 0.73 | learning rate: 2.423E-05 | global batch size: 256 | lm loss: 2.141120E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.074 | TFLOPs: 21.24 | 31: iteration 20950/ 23189 | consumed samples: 5363200 | consumed tokens: 10983833600 | elapsed time per iteration (s): 0.76 | learning rate: 2.419E-05 | global batch size: 256 | lm loss: 2.154858E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.301 | TFLOPs: 20.47 | 31: iteration 20960/ 23189 | consumed samples: 5365760 | consumed tokens: 10989076480 | elapsed time per iteration (s): 0.78 | learning rate: 2.416E-05 | global batch size: 256 | lm loss: 2.161250E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.643 | TFLOPs: 19.94 | 31: iteration 20970/ 23189 | consumed samples: 5368320 | consumed tokens: 10994319360 | elapsed time per iteration (s): 0.77 | learning rate: 2.412E-05 | global batch size: 256 | lm loss: 2.154515E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.791 | TFLOPs: 20.19 | 31: iteration 20980/ 23189 | consumed samples: 5370880 | consumed tokens: 10999562240 | elapsed time per iteration (s): 0.80 | learning rate: 2.408E-05 | global batch size: 256 | lm loss: 2.143076E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.231 | TFLOPs: 19.43 | 31: iteration 20990/ 23189 | consumed samples: 5373440 | consumed tokens: 11004805120 | elapsed time per iteration (s): 0.76 | learning rate: 2.404E-05 | global batch size: 256 | lm loss: 2.169478E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.750 | TFLOPs: 20.43 | 31: iteration 21000/ 23189 | consumed samples: 5376000 | consumed tokens: 11010048000 | elapsed time per iteration (s): 0.75 | learning rate: 2.401E-05 | global batch size: 256 | lm loss: 2.175138E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.392 | TFLOPs: 20.65 | 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 21000 | lm loss value: 2.139999E+00 | lm loss PPL: 8.499426E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 21010/ 23189 | consumed samples: 5378560 | consumed tokens: 11015290880 | elapsed time per iteration (s): 1.03 | learning rate: 2.397E-05 | global batch size: 256 | lm loss: 2.184228E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 248.802 | TFLOPs: 15.05 | 31: iteration 21020/ 23189 | consumed samples: 5381120 | consumed tokens: 11020533760 | elapsed time per iteration (s): 0.73 | learning rate: 2.394E-05 | global batch size: 256 | lm loss: 2.178515E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.131 | TFLOPs: 21.12 | 31: iteration 21030/ 23189 | consumed samples: 5383680 | consumed tokens: 11025776640 | elapsed time per iteration (s): 0.77 | learning rate: 2.390E-05 | global batch size: 256 | lm loss: 2.193441E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.487 | TFLOPs: 20.18 | 31: iteration 21040/ 23189 | consumed samples: 5386240 | consumed tokens: 11031019520 | elapsed time per iteration (s): 0.74 | learning rate: 2.386E-05 | global batch size: 256 | lm loss: 2.152096E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.409 | TFLOPs: 21.02 | 31: iteration 21050/ 23189 | consumed samples: 5388800 | consumed tokens: 11036262400 | elapsed time per iteration (s): 0.73 | learning rate: 2.383E-05 | global batch size: 256 | lm loss: 2.169646E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.725 | TFLOPs: 21.34 | 31: iteration 21060/ 23189 | consumed samples: 5391360 | consumed tokens: 11041505280 | elapsed time per iteration (s): 0.71 | learning rate: 2.379E-05 | global batch size: 256 | lm loss: 2.195475E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.675 | TFLOPs: 21.76 | 31: iteration 21070/ 23189 | consumed samples: 5393920 | consumed tokens: 11046748160 | elapsed time per iteration (s): 0.73 | learning rate: 2.376E-05 | global batch size: 256 | lm loss: 2.149268E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.334 | TFLOPs: 21.32 | 31: iteration 21080/ 23189 | consumed samples: 5396480 | consumed tokens: 11051991040 | elapsed time per iteration (s): 0.78 | learning rate: 2.372E-05 | global batch size: 256 | lm loss: 2.145821E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.844 | TFLOPs: 19.95 | 31: iteration 21090/ 23189 | consumed samples: 5399040 | consumed tokens: 11057233920 | elapsed time per iteration (s): 0.78 | learning rate: 2.369E-05 | global batch size: 256 | lm loss: 2.149535E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.315 | TFLOPs: 19.98 | 31: iteration 21100/ 23189 | consumed samples: 5401600 | consumed tokens: 11062476800 | elapsed time per iteration (s): 0.72 | learning rate: 2.365E-05 | global batch size: 256 | lm loss: 2.152955E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.221 | TFLOPs: 21.49 | 31: iteration 21110/ 23189 | consumed samples: 5404160 | consumed tokens: 11067719680 | elapsed time per iteration (s): 0.76 | learning rate: 2.362E-05 | global batch size: 256 | lm loss: 2.188952E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.523 | TFLOPs: 20.30 | 31: iteration 21120/ 23189 | consumed samples: 5406720 | consumed tokens: 11072962560 | elapsed time per iteration (s): 0.76 | learning rate: 2.358E-05 | global batch size: 256 | lm loss: 2.188093E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.443 | TFLOPs: 20.47 | 31: iteration 21130/ 23189 | consumed samples: 5409280 | consumed tokens: 11078205440 | elapsed time per iteration (s): 0.76 | learning rate: 2.355E-05 | global batch size: 256 | lm loss: 2.151221E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.757 | TFLOPs: 20.37 | 31: iteration 21140/ 23189 | consumed samples: 5411840 | consumed tokens: 11083448320 | elapsed time per iteration (s): 0.80 | learning rate: 2.352E-05 | global batch size: 256 | lm loss: 2.167902E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.542 | TFLOPs: 19.39 | 31: iteration 21150/ 23189 | consumed samples: 5414400 | consumed tokens: 11088691200 | elapsed time per iteration (s): 0.81 | learning rate: 2.348E-05 | global batch size: 256 | lm loss: 2.183931E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.773 | TFLOPs: 19.16 | 31: iteration 21160/ 23189 | consumed samples: 5416960 | consumed tokens: 11093934080 | elapsed time per iteration (s): 0.77 | learning rate: 2.345E-05 | global batch size: 256 | lm loss: 2.171928E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.537 | TFLOPs: 20.06 | 31: iteration 21170/ 23189 | consumed samples: 5419520 | consumed tokens: 11099176960 | elapsed time per iteration (s): 0.80 | learning rate: 2.341E-05 | global batch size: 256 | lm loss: 2.152579E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.052 | TFLOPs: 19.36 | 31: iteration 21180/ 23189 | consumed samples: 5422080 | consumed tokens: 11104419840 | elapsed time per iteration (s): 0.78 | learning rate: 2.338E-05 | global batch size: 256 | lm loss: 2.152306E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.338 | TFLOPs: 19.86 | 31: iteration 21190/ 23189 | consumed samples: 5424640 | consumed tokens: 11109662720 | elapsed time per iteration (s): 0.80 | learning rate: 2.335E-05 | global batch size: 256 | lm loss: 2.169204E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.361 | TFLOPs: 19.38 | 31: iteration 21200/ 23189 | consumed samples: 5427200 | consumed tokens: 11114905600 | elapsed time per iteration (s): 0.73 | learning rate: 2.331E-05 | global batch size: 256 | lm loss: 2.156265E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.802 | TFLOPs: 21.28 | 31: iteration 21210/ 23189 | consumed samples: 5429760 | consumed tokens: 11120148480 | elapsed time per iteration (s): 0.73 | learning rate: 2.328E-05 | global batch size: 256 | lm loss: 2.147580E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.156 | TFLOPs: 21.24 | 31: iteration 21220/ 23189 | consumed samples: 5432320 | consumed tokens: 11125391360 | elapsed time per iteration (s): 0.78 | learning rate: 2.325E-05 | global batch size: 256 | lm loss: 2.162173E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.729 | TFLOPs: 19.77 | 31: iteration 21230/ 23189 | consumed samples: 5434880 | consumed tokens: 11130634240 | elapsed time per iteration (s): 0.78 | learning rate: 2.322E-05 | global batch size: 256 | lm loss: 2.143825E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.262 | TFLOPs: 19.80 | 31: iteration 21240/ 23189 | consumed samples: 5437440 | consumed tokens: 11135877120 | elapsed time per iteration (s): 0.82 | learning rate: 2.318E-05 | global batch size: 256 | lm loss: 2.132848E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.118 | TFLOPs: 18.94 | 31: iteration 21250/ 23189 | consumed samples: 5440000 | consumed tokens: 11141120000 | elapsed time per iteration (s): 0.77 | learning rate: 2.315E-05 | global batch size: 256 | lm loss: 2.196108E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.037 | TFLOPs: 20.15 | 31: iteration 21260/ 23189 | consumed samples: 5442560 | consumed tokens: 11146362880 | elapsed time per iteration (s): 0.76 | learning rate: 2.312E-05 | global batch size: 256 | lm loss: 2.171302E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.649 | TFLOPs: 20.49 | 31: iteration 21270/ 23189 | consumed samples: 5445120 | consumed tokens: 11151605760 | elapsed time per iteration (s): 0.78 | learning rate: 2.309E-05 | global batch size: 256 | lm loss: 2.149338E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.549 | TFLOPs: 19.88 | 31: iteration 21280/ 23189 | consumed samples: 5447680 | consumed tokens: 11156848640 | elapsed time per iteration (s): 0.73 | learning rate: 2.305E-05 | global batch size: 256 | lm loss: 2.162839E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.666 | TFLOPs: 21.21 | 31: iteration 21290/ 23189 | consumed samples: 5450240 | consumed tokens: 11162091520 | elapsed time per iteration (s): 0.80 | learning rate: 2.302E-05 | global batch size: 256 | lm loss: 2.205897E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.531 | TFLOPs: 19.39 | 31: iteration 21300/ 23189 | consumed samples: 5452800 | consumed tokens: 11167334400 | elapsed time per iteration (s): 0.78 | learning rate: 2.299E-05 | global batch size: 256 | lm loss: 2.160010E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.503 | TFLOPs: 19.87 | 31: iteration 21310/ 23189 | consumed samples: 5455360 | consumed tokens: 11172577280 | elapsed time per iteration (s): 0.73 | learning rate: 2.296E-05 | global batch size: 256 | lm loss: 2.153555E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.415 | TFLOPs: 21.26 | 31: iteration 21320/ 23189 | consumed samples: 5457920 | consumed tokens: 11177820160 | elapsed time per iteration (s): 0.74 | learning rate: 2.293E-05 | global batch size: 256 | lm loss: 2.169967E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.225 | TFLOPs: 20.95 | 31: iteration 21330/ 23189 | consumed samples: 5460480 | consumed tokens: 11183063040 | elapsed time per iteration (s): 0.83 | learning rate: 2.290E-05 | global batch size: 256 | lm loss: 2.150756E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.293 | TFLOPs: 18.59 | 31: iteration 21340/ 23189 | consumed samples: 5463040 | consumed tokens: 11188305920 | elapsed time per iteration (s): 0.73 | learning rate: 2.287E-05 | global batch size: 256 | lm loss: 2.158766E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.428 | TFLOPs: 21.32 | 31: iteration 21350/ 23189 | consumed samples: 5465600 | consumed tokens: 11193548800 | elapsed time per iteration (s): 0.77 | learning rate: 2.284E-05 | global batch size: 256 | lm loss: 2.184292E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.415 | TFLOPs: 20.23 | 31: iteration 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second: 349.161 | TFLOPs: 21.12 | 31: iteration 21390/ 23189 | consumed samples: 5475840 | consumed tokens: 11214520320 | elapsed time per iteration (s): 0.78 | learning rate: 2.271E-05 | global batch size: 256 | lm loss: 2.170313E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.838 | TFLOPs: 19.89 | 31: iteration 21400/ 23189 | consumed samples: 5478400 | consumed tokens: 11219763200 | elapsed time per iteration (s): 0.78 | learning rate: 2.268E-05 | global batch size: 256 | lm loss: 2.164048E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.194 | TFLOPs: 19.79 | 31: iteration 21410/ 23189 | consumed samples: 5480960 | consumed tokens: 11225006080 | elapsed time per iteration (s): 0.76 | learning rate: 2.265E-05 | global batch size: 256 | lm loss: 2.187204E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.008 | TFLOPs: 20.27 | 31: iteration 21420/ 23189 | consumed samples: 5483520 | consumed tokens: 11230248960 | elapsed time per iteration (s): 0.74 | learning rate: 2.262E-05 | global batch size: 256 | lm loss: 2.165617E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.458 | TFLOPs: 21.02 | 31: iteration 21430/ 23189 | consumed samples: 5486080 | consumed tokens: 11235491840 | elapsed time per iteration (s): 0.78 | learning rate: 2.260E-05 | global batch size: 256 | lm loss: 2.195930E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.270 | TFLOPs: 19.74 | 31: iteration 21440/ 23189 | consumed samples: 5488640 | consumed tokens: 11240734720 | elapsed time per iteration (s): 0.76 | learning rate: 2.257E-05 | global batch size: 256 | lm loss: 2.182600E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.390 | TFLOPs: 20.47 | 31: iteration 21450/ 23189 | consumed samples: 5491200 | consumed tokens: 11245977600 | elapsed time per iteration (s): 0.72 | learning rate: 2.254E-05 | global batch size: 256 | lm loss: 2.173267E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.273 | TFLOPs: 21.43 | 31: iteration 21460/ 23189 | consumed samples: 5493760 | consumed tokens: 11251220480 | elapsed time per iteration (s): 0.79 | learning rate: 2.251E-05 | global batch size: 256 | lm loss: 2.153344E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.937 | TFLOPs: 19.66 | 31: iteration 21470/ 23189 | consumed samples: 5496320 | consumed tokens: 11256463360 | elapsed time per iteration (s): 0.78 | learning rate: 2.248E-05 | global batch size: 256 | lm loss: 2.155035E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.850 | TFLOPs: 19.83 | 31: iteration 21480/ 23189 | consumed samples: 5498880 | consumed tokens: 11261706240 | elapsed time per iteration (s): 0.77 | learning rate: 2.245E-05 | global batch size: 256 | lm loss: 2.161073E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.739 | TFLOPs: 20.19 | 31: iteration 21490/ 23189 | consumed samples: 5501440 | consumed tokens: 11266949120 | elapsed time per iteration (s): 0.76 | learning rate: 2.242E-05 | global batch size: 256 | lm loss: 2.190067E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.411 | TFLOPs: 20.29 | 31: iteration 21500/ 23189 | consumed samples: 5504000 | consumed tokens: 11272192000 | elapsed time per iteration (s): 0.73 | learning rate: 2.239E-05 | global batch size: 256 | lm loss: 2.168231E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.806 | TFLOPs: 21.22 | 31: iteration 21510/ 23189 | consumed samples: 5506560 | consumed tokens: 11277434880 | elapsed time per iteration (s): 0.76 | learning rate: 2.237E-05 | global batch size: 256 | lm loss: 2.135061E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.481 | TFLOPs: 20.48 | 31: iteration 21520/ 23189 | consumed samples: 5509120 | consumed tokens: 11282677760 | elapsed time per iteration (s): 0.79 | learning rate: 2.234E-05 | global batch size: 256 | lm loss: 2.175008E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.746 | TFLOPs: 19.65 | 31: iteration 21530/ 23189 | consumed samples: 5511680 | consumed tokens: 11287920640 | elapsed time per iteration (s): 0.76 | learning rate: 2.231E-05 | global batch size: 256 | lm loss: 2.139862E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.591 | TFLOPs: 20.48 | 31: iteration 21540/ 23189 | consumed samples: 5514240 | consumed tokens: 11293163520 | elapsed time per iteration (s): 0.79 | learning rate: 2.228E-05 | global batch size: 256 | lm loss: 2.126480E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.979 | TFLOPs: 19.66 | 31: iteration 21550/ 23189 | consumed samples: 5516800 | consumed tokens: 11298406400 | elapsed time per iteration (s): 0.75 | learning rate: 2.225E-05 | global batch size: 256 | lm loss: 2.177873E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.314 | TFLOPs: 20.71 | 31: iteration 21560/ 23189 | consumed samples: 5519360 | consumed tokens: 11303649280 | elapsed time per iteration (s): 0.76 | learning rate: 2.223E-05 | global batch size: 256 | lm loss: 2.153463E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.493 | TFLOPs: 20.30 | 31: iteration 21570/ 23189 | consumed samples: 5521920 | consumed tokens: 11308892160 | elapsed time per iteration (s): 0.75 | learning rate: 2.220E-05 | global batch size: 256 | lm loss: 2.153923E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.821 | TFLOPs: 20.68 | 31: iteration 21580/ 23189 | consumed samples: 5524480 | consumed tokens: 11314135040 | elapsed time per iteration (s): 0.76 | learning rate: 2.217E-05 | global batch size: 256 | lm loss: 2.165310E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.968 | TFLOPs: 20.39 | 31: iteration 21590/ 23189 | consumed samples: 5527040 | consumed tokens: 11319377920 | elapsed time per iteration (s): 0.74 | learning rate: 2.215E-05 | global batch size: 256 | lm loss: 2.130935E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.885 | TFLOPs: 20.86 | 31: iteration 21600/ 23189 | consumed samples: 5529600 | consumed tokens: 11324620800 | elapsed time per iteration (s): 0.71 | learning rate: 2.212E-05 | global batch size: 256 | lm loss: 2.174384E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.122 | TFLOPs: 21.79 | 31: iteration 21610/ 23189 | consumed samples: 5532160 | consumed tokens: 11329863680 | elapsed time per iteration (s): 0.76 | learning rate: 2.209E-05 | global batch size: 256 | lm loss: 2.187869E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.926 | TFLOPs: 20.44 | 31: iteration 21620/ 23189 | consumed samples: 5534720 | consumed tokens: 11335106560 | elapsed time per iteration (s): 0.72 | learning rate: 2.207E-05 | global batch size: 256 | lm loss: 2.182759E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.555 | TFLOPs: 21.51 | 31: iteration 21630/ 23189 | consumed samples: 5537280 | consumed tokens: 11340349440 | elapsed time per iteration (s): 0.75 | learning rate: 2.204E-05 | global batch size: 256 | lm loss: 2.192966E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.918 | TFLOPs: 20.75 | 31: iteration 21640/ 23189 | consumed samples: 5539840 | consumed tokens: 11345592320 | elapsed time per iteration (s): 0.74 | learning rate: 2.201E-05 | global batch size: 256 | lm loss: 2.176625E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.330 | TFLOPs: 20.89 | 31: iteration 21650/ 23189 | consumed samples: 5542400 | consumed tokens: 11350835200 | elapsed time per iteration (s): 0.74 | learning rate: 2.199E-05 | global batch size: 256 | lm loss: 2.154241E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.271 | TFLOPs: 20.89 | 31: iteration 21660/ 23189 | consumed samples: 5544960 | consumed tokens: 11356078080 | elapsed time per iteration (s): 0.82 | learning rate: 2.196E-05 | global batch size: 256 | lm loss: 2.169208E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.654 | TFLOPs: 18.85 | 31: iteration 21670/ 23189 | consumed samples: 5547520 | consumed tokens: 11361320960 | elapsed time per iteration (s): 0.74 | learning rate: 2.194E-05 | global batch size: 256 | lm loss: 2.132059E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.559 | TFLOPs: 20.91 | 31: iteration 21680/ 23189 | consumed samples: 5550080 | consumed tokens: 11366563840 | elapsed time per iteration (s): 0.76 | learning rate: 2.191E-05 | global batch size: 256 | lm loss: 2.169849E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.389 | TFLOPs: 20.35 | 31: iteration 21690/ 23189 | consumed samples: 5552640 | consumed tokens: 11371806720 | elapsed time per iteration (s): 0.75 | learning rate: 2.189E-05 | global batch size: 256 | lm loss: 2.142685E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.125 | TFLOPs: 20.76 | 31: iteration 21700/ 23189 | consumed samples: 5555200 | consumed tokens: 11377049600 | elapsed time per iteration (s): 0.75 | learning rate: 2.186E-05 | global batch size: 256 | lm loss: 2.133796E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.724 | TFLOPs: 20.61 | 31: iteration 21710/ 23189 | consumed samples: 5557760 | consumed tokens: 11382292480 | elapsed time per iteration (s): 0.75 | learning rate: 2.184E-05 | global batch size: 256 | lm loss: 2.148135E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.707 | TFLOPs: 20.55 | 31: iteration 21720/ 23189 | consumed samples: 5560320 | consumed tokens: 11387535360 | elapsed time per iteration (s): 0.74 | learning rate: 2.181E-05 | global batch size: 256 | lm loss: 2.161821E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.091 | TFLOPs: 20.88 | 31: iteration 21730/ 23189 | consumed samples: 5562880 | consumed tokens: 11392778240 | elapsed time per iteration (s): 0.71 | learning rate: 2.179E-05 | global batch size: 256 | lm loss: 2.150529E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.698 | TFLOPs: 21.88 | 31: iteration 21740/ 23189 | consumed samples: 5565440 | consumed tokens: 11398021120 | elapsed time per iteration (s): 0.74 | learning rate: 2.176E-05 | global batch size: 256 | lm loss: 2.133805E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.967 | TFLOPs: 20.87 | 31: iteration 21750/ 23189 | consumed samples: 5568000 | consumed tokens: 11403264000 | elapsed time per iteration (s): 0.74 | learning rate: 2.174E-05 | global batch size: 256 | lm loss: 2.157635E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.522 | TFLOPs: 20.96 | 31: iteration 21760/ 23189 | consumed samples: 5570560 | consumed tokens: 11408506880 | elapsed time per iteration (s): 0.75 | learning rate: 2.172E-05 | global batch size: 256 | lm loss: 2.174901E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.447 | TFLOPs: 20.72 | 31: iteration 21770/ 23189 | consumed samples: 5573120 | consumed tokens: 11413749760 | elapsed time per iteration (s): 0.77 | learning rate: 2.169E-05 | global batch size: 256 | lm loss: 2.155819E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.576 | TFLOPs: 20.06 | 31: iteration 21780/ 23189 | consumed samples: 5575680 | consumed tokens: 11418992640 | elapsed time per iteration (s): 0.75 | learning rate: 2.167E-05 | global batch size: 256 | lm loss: 2.148058E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.943 | TFLOPs: 20.69 | 31: iteration 21790/ 23189 | consumed samples: 5578240 | consumed tokens: 11424235520 | elapsed time per iteration (s): 0.76 | learning rate: 2.164E-05 | global batch size: 256 | lm loss: 2.165727E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.693 | TFLOPs: 20.31 | 31: iteration 21800/ 23189 | consumed samples: 5580800 | consumed tokens: 11429478400 | elapsed time per iteration (s): 0.72 | learning rate: 2.162E-05 | global batch size: 256 | lm loss: 2.166650E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.135 | TFLOPs: 21.42 | 31: iteration 21810/ 23189 | consumed samples: 5583360 | consumed tokens: 11434721280 | elapsed time per iteration (s): 0.76 | learning rate: 2.160E-05 | global batch size: 256 | lm loss: 2.152885E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.944 | TFLOPs: 20.38 | 31: iteration 21820/ 23189 | consumed samples: 5585920 | consumed tokens: 11439964160 | elapsed time per iteration (s): 0.75 | learning rate: 2.158E-05 | global batch size: 256 | lm loss: 2.164467E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.082 | TFLOPs: 20.70 | 31: iteration 21830/ 23189 | consumed samples: 5588480 | consumed tokens: 11445207040 | elapsed time per iteration (s): 0.75 | learning rate: 2.155E-05 | global batch size: 256 | lm loss: 2.172818E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.601 | TFLOPs: 20.67 | 31: iteration 21840/ 23189 | consumed samples: 5591040 | consumed tokens: 11450449920 | elapsed time per iteration (s): 0.75 | learning rate: 2.153E-05 | global batch size: 256 | lm loss: 2.172107E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.211 | TFLOPs: 20.58 | 31: iteration 21850/ 23189 | consumed samples: 5593600 | consumed tokens: 11455692800 | elapsed time per iteration (s): 0.74 | learning rate: 2.151E-05 | global batch size: 256 | lm loss: 2.186913E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.845 | TFLOPs: 20.98 | 31: iteration 21860/ 23189 | consumed samples: 5596160 | consumed tokens: 11460935680 | elapsed time per iteration (s): 0.77 | learning rate: 2.148E-05 | global batch size: 256 | lm loss: 2.189610E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.569 | TFLOPs: 20.06 | 31: iteration 21870/ 23189 | consumed samples: 5598720 | consumed tokens: 11466178560 | elapsed time per iteration (s): 0.78 | learning rate: 2.146E-05 | global batch size: 256 | lm loss: 2.181222E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.208 | TFLOPs: 19.86 | 31: iteration 21880/ 23189 | consumed samples: 5601280 | consumed tokens: 11471421440 | elapsed time per iteration (s): 0.78 | learning rate: 2.144E-05 | global batch size: 256 | lm loss: 2.146910E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.325 | TFLOPs: 19.92 | 31: iteration 21890/ 23189 | consumed samples: 5603840 | consumed tokens: 11476664320 | elapsed time per iteration (s): 0.80 | learning rate: 2.142E-05 | global batch size: 256 | lm loss: 2.141642E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.663 | TFLOPs: 19.40 | 31: iteration 21900/ 23189 | consumed samples: 5606400 | consumed tokens: 11481907200 | elapsed time per iteration (s): 0.82 | learning rate: 2.140E-05 | global batch size: 256 | lm loss: 2.180356E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.708 | TFLOPs: 18.92 | 31: iteration 21910/ 23189 | consumed samples: 5608960 | consumed tokens: 11487150080 | elapsed time per iteration (s): 0.75 | learning rate: 2.138E-05 | global batch size: 256 | lm loss: 2.171046E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.805 | TFLOPs: 20.56 | 31: iteration 21920/ 23189 | consumed samples: 5611520 | consumed tokens: 11492392960 | elapsed time per iteration (s): 0.76 | learning rate: 2.135E-05 | global batch size: 256 | lm loss: 2.144916E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.122 | TFLOPs: 20.33 | 31: iteration 21930/ 23189 | consumed samples: 5614080 | consumed tokens: 11497635840 | elapsed time per iteration (s): 0.79 | learning rate: 2.133E-05 | global batch size: 256 | lm loss: 2.148003E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.394 | TFLOPs: 19.63 | 31: iteration 21940/ 23189 | consumed samples: 5616640 | consumed tokens: 11502878720 | elapsed time per iteration (s): 0.76 | learning rate: 2.131E-05 | global batch size: 256 | lm loss: 2.188103E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.794 | TFLOPs: 20.25 | 31: iteration 21950/ 23189 | consumed samples: 5619200 | consumed tokens: 11508121600 | elapsed time per iteration (s): 0.73 | learning rate: 2.129E-05 | global batch size: 256 | lm loss: 2.185876E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.554 | TFLOPs: 21.27 | 31: iteration 21960/ 23189 | consumed samples: 5621760 | consumed tokens: 11513364480 | elapsed time per iteration (s): 0.75 | learning rate: 2.127E-05 | global batch size: 256 | lm loss: 2.175162E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.721 | TFLOPs: 20.73 | 31: iteration 21970/ 23189 | consumed samples: 5624320 | consumed tokens: 11518607360 | elapsed time per iteration (s): 0.77 | learning rate: 2.125E-05 | global batch size: 256 | lm loss: 2.175389E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.627 | TFLOPs: 20.00 | 31: iteration 21980/ 23189 | consumed samples: 5626880 | consumed tokens: 11523850240 | elapsed time per iteration (s): 0.81 | learning rate: 2.123E-05 | global batch size: 256 | lm loss: 2.153425E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.356 | TFLOPs: 19.08 | 31: iteration 21990/ 23189 | consumed samples: 5629440 | consumed tokens: 11529093120 | elapsed time per iteration (s): 0.74 | learning rate: 2.121E-05 | global batch size: 256 | lm loss: 2.195422E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.290 | TFLOPs: 20.83 | 0: [2022-11-28 22:37:33,986] [INFO] [logging.py:68:log_dist] [Rank 0] step=22000, skipped=0, lr=[2.118896643108558e-05, 2.118896643108558e-05, 2.118896643108558e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 22000/ 23189 | consumed samples: 5632000 | consumed tokens: 11534336000 | elapsed time per iteration (s): 0.79 | learning rate: 2.119E-05 | global batch size: 256 | lm loss: 2.153227E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.462 | TFLOPs: 19.51 | 0: steps: 22000 loss: 2.1399 iter time (s): 0.771 samples/sec: 331.873 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 22000 | lm loss value: 2.114300E+00 | lm loss PPL: 8.283787E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 22010/ 23189 | consumed samples: 5634560 | consumed tokens: 11539578880 | elapsed time per iteration (s): 0.76 | learning rate: 2.117E-05 | global batch size: 256 | lm loss: 2.163965E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.193 | TFLOPs: 20.34 | 31: iteration 22020/ 23189 | consumed samples: 5637120 | consumed tokens: 11544821760 | elapsed time per iteration (s): 0.77 | learning rate: 2.115E-05 | global batch size: 256 | lm loss: 2.162632E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.221 | TFLOPs: 20.04 | 31: iteration 22030/ 23189 | consumed samples: 5639680 | consumed tokens: 11550064640 | elapsed time per iteration (s): 0.76 | learning rate: 2.113E-05 | global batch size: 256 | lm loss: 2.169668E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.157 | TFLOPs: 20.46 | 31: iteration 22040/ 23189 | consumed samples: 5642240 | consumed tokens: 11555307520 | elapsed time per iteration (s): 0.75 | learning rate: 2.111E-05 | global batch size: 256 | lm loss: 2.130662E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.011 | TFLOPs: 20.69 | 31: iteration 22050/ 23189 | consumed samples: 5644800 | consumed tokens: 11560550400 | elapsed time per iteration (s): 0.73 | learning rate: 2.109E-05 | global batch size: 256 | lm loss: 2.152325E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.098 | TFLOPs: 21.12 | 31: iteration 22060/ 23189 | consumed samples: 5647360 | consumed tokens: 11565793280 | elapsed time per iteration (s): 0.78 | learning rate: 2.107E-05 | global batch size: 256 | lm loss: 2.160324E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.144 | TFLOPs: 19.91 | 31: iteration 22070/ 23189 | consumed samples: 5649920 | consumed tokens: 11571036160 | elapsed time per iteration (s): 0.77 | learning rate: 2.105E-05 | global batch size: 256 | lm loss: 2.142004E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.230 | TFLOPs: 20.04 | 31: iteration 22080/ 23189 | consumed samples: 5652480 | consumed tokens: 11576279040 | elapsed time per iteration (s): 0.78 | learning rate: 2.103E-05 | global batch size: 256 | lm loss: 2.171004E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.237 | TFLOPs: 19.80 | 31: iteration 22090/ 23189 | consumed samples: 5655040 | consumed tokens: 11581521920 | elapsed time per iteration (s): 0.76 | learning rate: 2.102E-05 | global batch size: 256 | lm loss: 2.174821E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.356 | TFLOPs: 20.29 | 31: iteration 22100/ 23189 | consumed samples: 5657600 | consumed tokens: 11586764800 | elapsed time per iteration (s): 0.81 | learning rate: 2.100E-05 | global batch size: 256 | lm loss: 2.171840E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.182 | TFLOPs: 19.19 | 31: iteration 22110/ 23189 | consumed samples: 5660160 | consumed tokens: 11592007680 | elapsed time per iteration (s): 0.83 | learning rate: 2.098E-05 | global batch size: 256 | lm loss: 2.175008E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.228 | TFLOPs: 18.71 | 31: iteration 22120/ 23189 | consumed samples: 5662720 | consumed tokens: 11597250560 | elapsed time per iteration (s): 0.75 | learning rate: 2.096E-05 | global batch size: 256 | lm loss: 2.168298E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.614 | TFLOPs: 20.61 | 31: iteration 22130/ 23189 | consumed samples: 5665280 | consumed tokens: 11602493440 | elapsed time per iteration (s): 0.75 | learning rate: 2.094E-05 | global batch size: 256 | lm loss: 2.179535E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.654 | TFLOPs: 20.67 | 31: iteration 22140/ 23189 | consumed samples: 5667840 | consumed tokens: 11607736320 | elapsed time per iteration (s): 0.73 | learning rate: 2.093E-05 | global batch size: 256 | lm loss: 2.128701E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.852 | TFLOPs: 21.10 | 31: iteration 22150/ 23189 | consumed samples: 5670400 | consumed tokens: 11612979200 | elapsed time per iteration (s): 0.71 | learning rate: 2.091E-05 | global batch size: 256 | lm loss: 2.153150E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.865 | TFLOPs: 21.71 | 31: iteration 22160/ 23189 | consumed samples: 5672960 | consumed tokens: 11618222080 | elapsed time per iteration (s): 0.73 | learning rate: 2.089E-05 | global batch size: 256 | lm loss: 2.186737E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.522 | TFLOPs: 21.21 | 31: iteration 22170/ 23189 | consumed samples: 5675520 | consumed tokens: 11623464960 | elapsed time per iteration (s): 0.75 | learning rate: 2.087E-05 | global batch size: 256 | lm loss: 2.134451E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.174 | TFLOPs: 20.70 | 31: iteration 22180/ 23189 | consumed samples: 5678080 | consumed tokens: 11628707840 | elapsed time per iteration (s): 0.74 | learning rate: 2.086E-05 | global batch size: 256 | lm loss: 2.170863E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.456 | TFLOPs: 20.90 | 31: iteration 22190/ 23189 | consumed samples: 5680640 | consumed tokens: 11633950720 | elapsed time per iteration (s): 0.75 | learning rate: 2.084E-05 | global batch size: 256 | lm loss: 2.183676E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.577 | TFLOPs: 20.60 | 31: iteration 22200/ 23189 | consumed samples: 5683200 | consumed tokens: 11639193600 | elapsed time per iteration (s): 0.74 | learning rate: 2.082E-05 | global batch size: 256 | lm loss: 2.158572E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.474 | TFLOPs: 20.90 | 31: iteration 22210/ 23189 | consumed samples: 5685760 | consumed tokens: 11644436480 | elapsed time per iteration (s): 0.78 | learning rate: 2.081E-05 | global batch size: 256 | lm loss: 2.176004E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.693 | TFLOPs: 19.89 | 31: iteration 22220/ 23189 | consumed samples: 5688320 | consumed tokens: 11649679360 | elapsed time per iteration (s): 0.79 | learning rate: 2.079E-05 | global batch size: 256 | lm loss: 2.156309E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.577 | TFLOPs: 19.58 | 31: iteration 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second: 312.634 | TFLOPs: 18.91 | 31: iteration 22260/ 23189 | consumed samples: 5698560 | consumed tokens: 11670650880 | elapsed time per iteration (s): 0.78 | learning rate: 2.073E-05 | global batch size: 256 | lm loss: 2.166126E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.389 | TFLOPs: 19.75 | 31: iteration 22270/ 23189 | consumed samples: 5701120 | consumed tokens: 11675893760 | elapsed time per iteration (s): 0.78 | learning rate: 2.071E-05 | global batch size: 256 | lm loss: 2.184443E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.561 | TFLOPs: 19.94 | 31: iteration 22280/ 23189 | consumed samples: 5703680 | consumed tokens: 11681136640 | elapsed time per iteration (s): 0.78 | learning rate: 2.070E-05 | global batch size: 256 | lm loss: 2.181448E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.508 | TFLOPs: 19.75 | 31: iteration 22290/ 23189 | consumed samples: 5706240 | consumed tokens: 11686379520 | elapsed time per iteration (s): 0.80 | learning rate: 2.068E-05 | global batch size: 256 | lm loss: 2.204056E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.689 | TFLOPs: 19.34 | 31: iteration 22300/ 23189 | consumed samples: 5708800 | consumed tokens: 11691622400 | elapsed time per iteration (s): 0.81 | learning rate: 2.067E-05 | global batch size: 256 | lm loss: 2.145916E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.196 | TFLOPs: 19.01 | 31: iteration 22310/ 23189 | consumed samples: 5711360 | consumed tokens: 11696865280 | elapsed time per iteration (s): 0.82 | learning rate: 2.065E-05 | global batch size: 256 | lm loss: 2.161320E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.999 | TFLOPs: 18.88 | 31: iteration 22320/ 23189 | consumed samples: 5713920 | consumed tokens: 11702108160 | elapsed time per iteration (s): 0.80 | learning rate: 2.064E-05 | global batch size: 256 | lm loss: 2.143166E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.893 | TFLOPs: 19.29 | 31: iteration 22330/ 23189 | consumed samples: 5716480 | consumed tokens: 11707351040 | elapsed time per iteration (s): 0.82 | learning rate: 2.062E-05 | global batch size: 256 | lm loss: 2.169919E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.631 | TFLOPs: 18.97 | 31: iteration 22340/ 23189 | consumed samples: 5719040 | consumed tokens: 11712593920 | elapsed time per iteration (s): 0.78 | learning rate: 2.061E-05 | global batch size: 256 | lm loss: 2.147988E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.741 | TFLOPs: 19.77 | 31: iteration 22350/ 23189 | consumed samples: 5721600 | consumed tokens: 11717836800 | elapsed time per iteration (s): 0.84 | learning rate: 2.059E-05 | global batch size: 256 | lm loss: 2.117041E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 304.712 | TFLOPs: 18.43 | 31: iteration 22360/ 23189 | consumed samples: 5724160 | consumed tokens: 11723079680 | elapsed time per iteration (s): 0.83 | learning rate: 2.058E-05 | global batch size: 256 | lm loss: 2.159875E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.111 | TFLOPs: 18.76 | 31: iteration 22370/ 23189 | consumed samples: 5726720 | consumed tokens: 11728322560 | elapsed time per iteration (s): 0.82 | learning rate: 2.056E-05 | global batch size: 256 | lm loss: 2.155641E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.984 | TFLOPs: 18.87 | 31: iteration 22380/ 23189 | consumed samples: 5729280 | consumed tokens: 11733565440 | elapsed time per iteration (s): 0.82 | learning rate: 2.055E-05 | global batch size: 256 | lm loss: 2.147404E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.178 | TFLOPs: 18.83 | 31: iteration 22390/ 23189 | consumed samples: 5731840 | consumed tokens: 11738808320 | elapsed time per iteration (s): 0.79 | learning rate: 2.054E-05 | global batch size: 256 | lm loss: 2.112753E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.425 | TFLOPs: 19.69 | 31: iteration 22400/ 23189 | consumed samples: 5734400 | consumed tokens: 11744051200 | elapsed time per iteration (s): 0.80 | learning rate: 2.052E-05 | global batch size: 256 | lm loss: 2.153105E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.381 | TFLOPs: 19.32 | 31: iteration 22410/ 23189 | consumed samples: 5736960 | consumed tokens: 11749294080 | elapsed time per iteration (s): 0.81 | learning rate: 2.051E-05 | global batch size: 256 | lm loss: 2.153604E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.928 | TFLOPs: 19.11 | 31: iteration 22420/ 23189 | consumed samples: 5739520 | consumed tokens: 11754536960 | elapsed time per iteration (s): 0.83 | learning rate: 2.050E-05 | global batch size: 256 | lm loss: 2.131176E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.726 | TFLOPs: 18.74 | 31: iteration 22430/ 23189 | consumed samples: 5742080 | consumed tokens: 11759779840 | elapsed time per iteration (s): 0.80 | learning rate: 2.049E-05 | global batch size: 256 | lm loss: 2.129396E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.930 | TFLOPs: 19.29 | 31: iteration 22440/ 23189 | consumed samples: 5744640 | consumed tokens: 11765022720 | elapsed time per iteration (s): 0.82 | learning rate: 2.047E-05 | global batch size: 256 | lm loss: 2.160669E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.484 | TFLOPs: 18.90 | 31: iteration 22450/ 23189 | consumed samples: 5747200 | consumed tokens: 11770265600 | elapsed time per iteration (s): 0.80 | learning rate: 2.046E-05 | global batch size: 256 | lm loss: 2.174074E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.773 | TFLOPs: 19.47 | 31: iteration 22460/ 23189 | consumed samples: 5749760 | consumed tokens: 11775508480 | elapsed time per iteration (s): 0.76 | learning rate: 2.045E-05 | global batch size: 256 | lm loss: 2.173486E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.091 | TFLOPs: 20.39 | 31: iteration 22470/ 23189 | consumed samples: 5752320 | consumed tokens: 11780751360 | elapsed time per iteration (s): 0.79 | learning rate: 2.044E-05 | global batch size: 256 | lm loss: 2.175998E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.918 | TFLOPs: 19.54 | 31: iteration 22480/ 23189 | consumed samples: 5754880 | consumed tokens: 11785994240 | elapsed time per iteration (s): 0.79 | learning rate: 2.042E-05 | global batch size: 256 | lm loss: 2.150152E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.910 | TFLOPs: 19.72 | 31: iteration 22490/ 23189 | consumed samples: 5757440 | consumed tokens: 11791237120 | elapsed time per iteration (s): 0.75 | learning rate: 2.041E-05 | global batch size: 256 | lm loss: 2.140610E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.591 | TFLOPs: 20.73 | 31: iteration 22500/ 23189 | consumed samples: 5760000 | consumed tokens: 11796480000 | elapsed time per iteration (s): 0.84 | learning rate: 2.040E-05 | global batch size: 256 | lm loss: 2.161563E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 306.091 | TFLOPs: 18.52 | 31: iteration 22510/ 23189 | consumed samples: 5762560 | consumed tokens: 11801722880 | elapsed time per iteration (s): 0.80 | learning rate: 2.039E-05 | global batch size: 256 | lm loss: 2.171720E+00 | grad norm: 0.165 | num 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lm loss: 2.158639E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.724 | TFLOPs: 20.43 | 31: iteration 22550/ 23189 | consumed samples: 5772800 | consumed tokens: 11822694400 | elapsed time per iteration (s): 0.79 | learning rate: 2.034E-05 | global batch size: 256 | lm loss: 2.195723E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.587 | TFLOPs: 19.52 | 31: iteration 22560/ 23189 | consumed samples: 5775360 | consumed tokens: 11827937280 | elapsed time per iteration (s): 0.81 | learning rate: 2.033E-05 | global batch size: 256 | lm loss: 2.151888E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.130 | TFLOPs: 19.00 | 31: iteration 22570/ 23189 | consumed samples: 5777920 | consumed tokens: 11833180160 | elapsed time per iteration (s): 0.79 | learning rate: 2.032E-05 | global batch size: 256 | lm loss: 2.152839E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.988 | TFLOPs: 19.60 | 31: iteration 22580/ 23189 | consumed samples: 5780480 | consumed tokens: 11838423040 | elapsed time per iteration (s): 0.79 | learning rate: 2.031E-05 | global batch size: 256 | lm loss: 2.137807E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.630 | TFLOPs: 19.70 | 31: iteration 22590/ 23189 | consumed samples: 5783040 | consumed tokens: 11843665920 | elapsed time per iteration (s): 0.75 | learning rate: 2.030E-05 | global batch size: 256 | lm loss: 2.156671E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.551 | TFLOPs: 20.66 | 31: iteration 22600/ 23189 | consumed samples: 5785600 | consumed tokens: 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| consumed samples: 5793280 | consumed tokens: 11864637440 | elapsed time per iteration (s): 0.77 | learning rate: 2.026E-05 | global batch size: 256 | lm loss: 2.182690E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.895 | TFLOPs: 20.20 | 31: iteration 22640/ 23189 | consumed samples: 5795840 | consumed tokens: 11869880320 | elapsed time per iteration (s): 0.73 | learning rate: 2.025E-05 | global batch size: 256 | lm loss: 2.149091E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.944 | TFLOPs: 21.35 | 31: iteration 22650/ 23189 | consumed samples: 5798400 | consumed tokens: 11875123200 | elapsed time per iteration (s): 0.80 | learning rate: 2.024E-05 | global batch size: 256 | lm loss: 2.156807E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.207 | TFLOPs: 19.37 | 31: iteration 22660/ 23189 | consumed samples: 5800960 | consumed tokens: 11880366080 | elapsed time per iteration (s): 0.75 | learning rate: 2.024E-05 | global batch size: 256 | lm loss: 2.155538E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.184 | TFLOPs: 20.52 | 31: iteration 22670/ 23189 | consumed samples: 5803520 | consumed tokens: 11885608960 | elapsed time per iteration (s): 0.76 | learning rate: 2.023E-05 | global batch size: 256 | lm loss: 2.147942E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.022 | TFLOPs: 20.39 | 31: iteration 22680/ 23189 | consumed samples: 5806080 | consumed tokens: 11890851840 | elapsed time per iteration (s): 0.73 | learning rate: 2.022E-05 | global batch size: 256 | lm loss: 2.171364E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.887 | TFLOPs: 21.35 | 31: iteration 22690/ 23189 | consumed samples: 5808640 | consumed tokens: 11896094720 | elapsed time per iteration (s): 0.77 | learning rate: 2.021E-05 | global batch size: 256 | lm loss: 2.183283E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.277 | TFLOPs: 20.16 | 31: iteration 22700/ 23189 | consumed samples: 5811200 | consumed tokens: 11901337600 | elapsed time per iteration (s): 0.74 | learning rate: 2.020E-05 | global batch size: 256 | lm loss: 2.158429E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.075 | TFLOPs: 20.82 | 31: iteration 22710/ 23189 | consumed samples: 5813760 | consumed tokens: 11906580480 | elapsed time per iteration (s): 0.79 | learning rate: 2.019E-05 | global batch size: 256 | lm loss: 2.180335E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.012 | TFLOPs: 19.54 | 31: iteration 22720/ 23189 | consumed samples: 5816320 | consumed tokens: 11911823360 | elapsed time per iteration (s): 0.77 | learning rate: 2.019E-05 | global batch size: 256 | lm loss: 2.143798E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.467 | TFLOPs: 20.17 | 31: iteration 22730/ 23189 | consumed samples: 5818880 | consumed tokens: 11917066240 | elapsed time per iteration (s): 0.74 | learning rate: 2.018E-05 | global batch size: 256 | lm loss: 2.138910E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.705 | TFLOPs: 20.97 | 31: iteration 22740/ 23189 | consumed samples: 5821440 | consumed tokens: 11922309120 | elapsed time per iteration (s): 0.75 | learning rate: 2.017E-05 | global batch size: 256 | lm loss: 2.142770E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.785 | TFLOPs: 20.74 | 31: iteration 22750/ 23189 | consumed samples: 5824000 | consumed tokens: 11927552000 | elapsed time per iteration (s): 0.76 | learning rate: 2.016E-05 | global batch size: 256 | lm loss: 2.130397E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.317 | TFLOPs: 20.47 | 31: iteration 22760/ 23189 | consumed samples: 5826560 | consumed tokens: 11932794880 | elapsed time per iteration (s): 0.75 | learning rate: 2.016E-05 | global batch size: 256 | lm loss: 2.193364E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.008 | TFLOPs: 20.75 | 31: iteration 22770/ 23189 | consumed samples: 5829120 | consumed tokens: 11938037760 | elapsed time per iteration (s): 0.79 | learning rate: 2.015E-05 | global batch size: 256 | lm loss: 2.170361E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.197 | TFLOPs: 19.61 | 31: iteration 22780/ 23189 | consumed samples: 5831680 | consumed tokens: 11943280640 | elapsed time per iteration (s): 0.72 | learning rate: 2.014E-05 | global batch size: 256 | lm loss: 2.169951E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.115 | TFLOPs: 21.42 | 31: iteration 22790/ 23189 | consumed samples: 5834240 | consumed tokens: 11948523520 | elapsed time per iteration (s): 0.75 | learning rate: 2.013E-05 | global batch size: 256 | lm loss: 2.176618E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.818 | TFLOPs: 20.62 | 31: iteration 22800/ 23189 | consumed samples: 5836800 | consumed tokens: 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| consumed samples: 5844480 | consumed tokens: 11969495040 | elapsed time per iteration (s): 0.78 | learning rate: 2.011E-05 | global batch size: 256 | lm loss: 2.167047E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.745 | TFLOPs: 19.89 | 31: iteration 22840/ 23189 | consumed samples: 5847040 | consumed tokens: 11974737920 | elapsed time per iteration (s): 0.76 | learning rate: 2.010E-05 | global batch size: 256 | lm loss: 2.142791E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.351 | TFLOPs: 20.41 | 31: iteration 22850/ 23189 | consumed samples: 5849600 | consumed tokens: 11979980800 | elapsed time per iteration (s): 0.77 | learning rate: 2.010E-05 | global batch size: 256 | lm loss: 2.167861E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.787 | TFLOPs: 20.19 | 31: iteration 22860/ 23189 | consumed samples: 5852160 | consumed tokens: 11985223680 | elapsed time per iteration (s): 0.75 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 2.140930E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.085 | TFLOPs: 20.70 | 31: iteration 22870/ 23189 | consumed samples: 5854720 | consumed tokens: 11990466560 | elapsed time per iteration (s): 0.75 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 2.171428E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.516 | TFLOPs: 20.78 | 31: iteration 22880/ 23189 | consumed samples: 5857280 | consumed tokens: 11995709440 | elapsed time per iteration (s): 0.76 | learning rate: 2.008E-05 | global batch size: 256 | lm loss: 2.181468E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.929 | TFLOPs: 20.38 | 31: iteration 22890/ 23189 | consumed samples: 5859840 | consumed tokens: 12000952320 | elapsed time per iteration (s): 0.81 | learning rate: 2.008E-05 | global batch size: 256 | lm loss: 2.155507E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.711 | TFLOPs: 19.04 | 31: iteration 22900/ 23189 | consumed samples: 5862400 | consumed tokens: 12006195200 | elapsed time per iteration (s): 0.77 | learning rate: 2.007E-05 | global batch size: 256 | lm loss: 2.179429E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.628 | TFLOPs: 20.18 | 31: iteration 22910/ 23189 | consumed samples: 5864960 | consumed tokens: 12011438080 | elapsed time per iteration (s): 0.79 | learning rate: 2.007E-05 | global batch size: 256 | lm loss: 2.154178E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.295 | TFLOPs: 19.68 | 31: iteration 22920/ 23189 | consumed samples: 5867520 | consumed tokens: 12016680960 | elapsed time per iteration (s): 0.80 | learning rate: 2.006E-05 | global batch size: 256 | lm loss: 2.167846E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.926 | TFLOPs: 19.48 | 31: iteration 22930/ 23189 | consumed samples: 5870080 | consumed tokens: 12021923840 | elapsed time per iteration (s): 0.74 | learning rate: 2.006E-05 | global batch size: 256 | lm loss: 2.159436E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.706 | TFLOPs: 20.85 | 31: iteration 22940/ 23189 | consumed samples: 5872640 | consumed tokens: 12027166720 | elapsed time per iteration (s): 0.78 | learning rate: 2.005E-05 | global batch size: 256 | lm loss: 2.123255E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.216 | TFLOPs: 19.92 | 31: iteration 22950/ 23189 | consumed samples: 5875200 | consumed tokens: 12032409600 | elapsed time per iteration (s): 0.80 | learning rate: 2.005E-05 | global batch size: 256 | lm loss: 2.149611E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.029 | TFLOPs: 19.36 | 31: iteration 22960/ 23189 | consumed samples: 5877760 | consumed tokens: 12037652480 | elapsed time per iteration (s): 0.75 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.172041E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.333 | TFLOPs: 20.65 | 31: iteration 22970/ 23189 | consumed samples: 5880320 | consumed tokens: 12042895360 | elapsed time per iteration (s): 0.76 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.133866E+00 | grad norm: 0.160 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.818 | TFLOPs: 20.44 | 31: iteration 22980/ 23189 | consumed samples: 5882880 | consumed tokens: 12048138240 | elapsed time per iteration (s): 0.80 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.143322E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.862 | TFLOPs: 19.41 | 31: iteration 22990/ 23189 | consumed samples: 5885440 | consumed tokens: 12053381120 | elapsed time per iteration (s): 0.82 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 2.149099E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.519 | TFLOPs: 18.85 | 31: iteration 23000/ 23189 | consumed samples: 5888000 | consumed tokens: 12058624000 | elapsed time per iteration (s): 0.80 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 2.155462E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.095 | TFLOPs: 19.30 | 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 23000 | lm loss value: 2.109067E+00 | lm loss PPL: 8.240547E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 23010/ 23189 | consumed samples: 5890560 | consumed tokens: 12063866880 | elapsed time per iteration (s): 0.85 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 2.165636E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 301.617 | TFLOPs: 18.25 | 31: iteration 23020/ 23189 | consumed samples: 5893120 | consumed tokens: 12069109760 | elapsed time per iteration (s): 0.76 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.149018E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.655 | TFLOPs: 20.25 | 31: iteration 23030/ 23189 | consumed samples: 5895680 | consumed tokens: 12074352640 | elapsed time per iteration (s): 0.75 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.150217E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.906 | TFLOPs: 20.56 | 31: iteration 23040/ 23189 | consumed samples: 5898240 | consumed tokens: 12079595520 | elapsed time per iteration (s): 0.76 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.152390E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.584 | TFLOPs: 20.48 | 31: iteration 23050/ 23189 | consumed samples: 5900800 | consumed tokens: 12084838400 | elapsed time per iteration (s): 0.73 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.130035E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.946 | TFLOPs: 21.23 | 31: iteration 23060/ 23189 | consumed samples: 5903360 | consumed tokens: 12090081280 | elapsed time per iteration (s): 0.75 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.178376E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.966 | TFLOPs: 20.75 | 31: iteration 23070/ 23189 | consumed samples: 5905920 | consumed tokens: 12095324160 | elapsed time per iteration (s): 0.73 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.150597E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.881 | TFLOPs: 21.23 | 31: iteration 23080/ 23189 | consumed samples: 5908480 | consumed tokens: 12100567040 | elapsed time per iteration (s): 0.81 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.178036E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.638 | TFLOPs: 19.10 | 31: iteration 23090/ 23189 | consumed samples: 5911040 | consumed tokens: 12105809920 | elapsed time per iteration (s): 0.75 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.131855E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.080 | TFLOPs: 20.51 | 31: iteration 23100/ 23189 | consumed samples: 5913600 | consumed tokens: 12111052800 | elapsed time per iteration (s): 0.75 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.147202E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.876 | TFLOPs: 20.74 | 31: iteration 23110/ 23189 | consumed samples: 5916160 | consumed tokens: 12116295680 | elapsed time per iteration (s): 0.76 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.142262E+00 | grad norm: 0.158 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.591 | TFLOPs: 20.30 | 31: iteration 23120/ 23189 | consumed samples: 5918720 | consumed tokens: 12121538560 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.132575E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.266 | TFLOPs: 20.16 | 31: iteration 23130/ 23189 | consumed samples: 5921280 | consumed tokens: 12126781440 | elapsed time per iteration (s): 0.72 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.197756E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.086 | TFLOPs: 21.42 | 31: iteration 23140/ 23189 | consumed samples: 5923840 | consumed tokens: 12132024320 | elapsed time per iteration (s): 0.81 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.147067E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.552 | TFLOPs: 19.15 | 31: iteration 23150/ 23189 | consumed samples: 5926400 | consumed tokens: 12137267200 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.133183E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.701 | TFLOPs: 20.19 | 31: iteration 23160/ 23189 | consumed samples: 5928960 | consumed tokens: 12142510080 | elapsed time per iteration (s): 0.80 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.120327E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.540 | TFLOPs: 19.33 | 31: iteration 23170/ 23189 | consumed samples: 5931520 | consumed tokens: 12147752960 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.174389E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.382 | TFLOPs: 20.05 | 31: iteration 23180/ 23189 | consumed samples: 5934080 | consumed tokens: 12152995840 | elapsed time per iteration (s): 0.74 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.159984E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.255 | TFLOPs: 20.83 | 0: [after training is done] datetime: 2022-11-28 22:52:55 0: saving checkpoint at iteration 23189 to checkpoints_1b112b 31: ------------------------------------------------------------------------------------------------------------ 31: valid loss at the end of training for val data | lm loss value: 2.106648E+00 | lm loss PPL: 8.220639E+00 | 31: ------------------------------------------------------------------------------------------------------------ 0: [2022-11-28 22:52:55,232] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step23189 is begin to save! 0: [2022-11-28 22:52:55,310] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_1b112b/global_step23189/layer_01-model_00-model_states.pt... 0: [2022-11-28 22:52:55,645] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step23189/layer_01-model_00-model_states.pt. 0: [2022-11-28 22:52:55,646] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_1b112b/global_step23189/layer_03-model_00-model_states.pt... 0: [2022-11-28 22:52:55,725] [INFO] 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23189 is ready now! 20: [2022-11-28 22:52:57,951] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23189 is ready now! 12: [2022-11-28 22:52:57,951] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step23189/bf16_zero_pp_rank_98_mp_rank_00_optim_states.pt. 12: [2022-11-28 22:52:57,951] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step23189/bf16_zero_pp_rank_98_mp_rank_00_optim_states.pt 12: [2022-11-28 22:52:57,951] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23189 is ready now! 20: [2022-11-28 22:52:57,951] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step23189/bf16_zero_pp_rank_163_mp_rank_00_optim_states.pt. 20: [2022-11-28 22:52:57,952] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step23189/bf16_zero_pp_rank_163_mp_rank_00_optim_states.pt 20: [2022-11-28 22:52:57,952] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23189 is ready now! 5: [2022-11-28 22:52:57,953] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step23189/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2022-11-28 22:52:57,953] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step23189/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2022-11-28 22:52:57,953] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23189 is ready now! 5: [2022-11-28 22:52:57,957] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step23189/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt. 5: [2022-11-28 22:52:57,957] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step23189/bf16_zero_pp_rank_47_mp_rank_00_optim_states.pt 5: [2022-11-28 22:52:57,957] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23189 is ready now! 7: [2022-11-28 22:52:57,959] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step23189/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt. 7: [2022-11-28 22:52:57,959] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step23189/bf16_zero_pp_rank_56_mp_rank_00_optim_states.pt 7: [2022-11-28 22:52:57,959] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23189 is ready now! 29: [2022-11-28 22:52:57,959] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b/global_step23189/bf16_zero_pp_rank_236_mp_rank_00_optim_states.pt. 29: [2022-11-28 22:52:57,960] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b/global_step23189/bf16_zero_pp_rank_236_mp_rank_00_optim_states.pt 29: [2022-11-28 22:52:57,960] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23189 is ready now! 0: successfully saved checkpoint at iteration 23189 to checkpoints_1b112b 31: ------------------------------------------------------------------------------------------------------------ 31: test loss at the end of training for test data | lm loss value: 2.111881E+00 | lm loss PPL: 8.263775E+00 | 31: ------------------------------------------------------------------------------------------------------------ END 2077320: Mon Nov 28 22:53:14 EET 2022