Model parameters: d_model 2048 ffw_size 8192 kv_size 128 n_heads 16 n_layers 28 Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 28 --hidden-size 2048 --num-attention-heads 16 --kv-channels 128 --ffn-hidden-size 8192 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 1 --global-batch-size 256 --train-samples 4_291_992 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-1b58b8 --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 4_291_992 --lr-warmup-samples 4_292 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 10000 --eval-interval 1000 --eval-iters 1 --tensorboard-dir tensorboard_1b58b8 --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_1b58b8 --load checkpoints_1b58b8 --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/2077178.json --zero-stage 0 START 2077178: Mon Nov 28 13:06:53 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 46.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 1 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 2 45.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 4 42.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 6 42.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 7 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: ================================================================================ 0: ============================= 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 48.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 2 42.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 3 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 4 45.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 6 44.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 7 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: ================================================================================ 7: ============================= 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 47.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 2 43.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 4 46.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 6 43.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: ================================================================================ 5: ============================= 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 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 24: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 24: 2 45.0c 81.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 24: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 24: 4 46.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 24: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 24: 6 39.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 24: 7 39.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 24: ================================================================================ 24: ============================= 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 40.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 26: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 26: 2 38.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 26: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 26: 4 45.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 26: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 26: 6 45.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 26: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 26: ================================================================================ 26: ============================= 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 46.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 14: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 14: 2 42.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 14: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 14: 4 46.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 14: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 14: 6 42.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 14: 7 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 14: ================================================================================ 14: ============================= 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 49.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 25: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 25: 2 37.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 25: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 25: 4 48.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 25: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 25: 6 43.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 25: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 25: ================================================================================ 25: ============================= 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 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 12: 1 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 12: 2 39.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 12: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 12: 4 43.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 12: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 12: 6 39.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 12: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 12: ================================================================================ 12: ============================= 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 47.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 30: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 30: 2 40.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 30: 3 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 30: 4 45.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 30: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 30: 6 41.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 30: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 30: ================================================================================ 30: ============================= 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 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 9: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 9: 2 39.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 9: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 9: 4 41.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 9: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 9: 6 43.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 9: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 9: ================================================================================ 9: ============================= 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 44.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 22: 1 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 22: 2 42.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 22: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 22: 4 45.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 22: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 22: 6 44.0c 98.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 22: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 22: ================================================================================ 22: ============================= 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 45.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 17: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 17: 2 45.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 17: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 17: 4 45.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 17: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 17: 6 41.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 17: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 17: ================================================================================ 17: ============================= 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 47.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 2 39.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 4 46.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 5 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 6 44.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: ================================================================================ 4: ============================= 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 50.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 8: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 8: 2 45.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 8: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 8: 4 47.0c 83.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 8: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 8: 6 34.0c 85.0W 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 ============================== 28: 28: 28: ======================= ROCm System Management Interface ======================= 28: ================================= Concise Info ================================= 28: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 28: 0 47.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 28: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 28: 2 42.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 28: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 28: 4 42.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 28: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 28: 6 43.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 28: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 28: ================================================================================ 28: ============================= 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 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 31: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 31: 2 43.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 31: 3 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 31: 4 43.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 31: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 31: 6 39.0c 98.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 31: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 31: ================================================================================ 31: ============================= 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 46.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 11: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 11: 2 43.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 11: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 11: 4 41.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 11: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 11: 6 45.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 11: 7 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 11: ================================================================================ 11: ============================= 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 42.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 18: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 18: 2 39.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 18: 3 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 18: 4 44.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 18: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 18: 6 44.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 18: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 18: ================================================================================ 18: ============================= 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 47.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 2 40.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 4 45.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 6 40.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: ================================================================================ 2: ============================= 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 47.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 10: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 10: 2 37.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 10: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 10: 4 45.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 10: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 10: 6 41.0c 86.0W 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 ============================== 19: 19: 19: ======================= ROCm System Management Interface ======================= 19: ================================= Concise Info ================================= 19: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 19: 0 43.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 19: 1 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 19: 2 43.0c 98.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 19: 3 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 19: 4 40.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 19: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 19: 6 43.0c 83.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 19: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 19: ================================================================================ 19: ============================= 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 49.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 21: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 21: 2 40.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 21: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 21: 4 45.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 21: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 21: 6 42.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 21: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 21: ================================================================================ 21: ============================= 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 42.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 2 44.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 4 47.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 6 35.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: ================================================================================ 1: ============================= 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 42.0c 90.0W 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 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 16: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 16: 4 47.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 16: 5 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 16: 6 41.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 16: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 16: ================================================================================ 16: ============================= 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 44.0c 98.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 2 42.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 4 46.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 6 42.0c 98.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 7 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: ================================================================================ 6: ============================= 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 39.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 15: 1 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 15: 2 39.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 15: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 15: 4 43.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 15: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 15: 6 38.0c 86.0W 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 ============================== 29: 29: 29: ======================= ROCm System Management Interface ======================= 29: ================================= Concise Info ================================= 29: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 29: 0 47.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 29: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 29: 2 42.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 29: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 29: 4 43.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 29: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 29: 6 43.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 29: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 29: ================================================================================ 29: ============================= 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 48.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 2 43.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 4 45.0c 101.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 6 37.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: ================================================================================ 3: ============================= 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 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 23: 1 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 23: 2 39.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 23: 3 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 23: 4 42.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 23: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 23: 6 45.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 23: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 23: ================================================================================ 23: ============================= 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 45.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 27: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 27: 2 44.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 27: 3 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 27: 4 46.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 27: 5 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 27: 6 43.0c 91.0W 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 ============================== 13: 13: 13: ======================= ROCm System Management Interface ======================= 13: ================================= Concise Info ================================= 13: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 13: 0 46.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 13: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 13: 2 46.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 13: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 13: 4 46.0c 101.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 13: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 13: 6 39.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 13: 7 39.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 13: ================================================================================ 13: ============================= 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 40.0c 98.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 20: 1 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 20: 2 46.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 20: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 20: 4 46.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 20: 5 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 20: 6 41.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 20: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 20: ================================================================================ 20: ============================= End of ROCm SMI Log ============================== 9: Launching on nid006892 (9/32), master nid005314 port 9999, GPUs 8, CUDA: True 27: Launching on nid006910 (27/32), master nid005314 port 9999, GPUs 8, CUDA: True 29: Launching on nid006912 (29/32), master nid005314 port 9999, GPUs 8, CUDA: True 26: Launching on nid006909 (26/32), master nid005314 port 9999, GPUs 8, CUDA: True 21: Launching on nid006904 (21/32), master nid005314 port 9999, GPUs 8, CUDA: True 4: Launching on nid005318 (4/32), master nid005314 port 9999, GPUs 8, CUDA: True 14: Launching on nid006897 (14/32), master nid005314 port 9999, GPUs 8, CUDA: True 20: Launching on nid006903 (20/32), master nid005314 port 9999, GPUs 8, CUDA: True 19: Launching on nid006902 (19/32), master nid005314 port 9999, GPUs 8, CUDA: True 6: Launching on nid005320 (6/32), master nid005314 port 9999, GPUs 8, CUDA: True 18: Launching on nid006901 (18/32), master nid005314 port 9999, GPUs 8, CUDA: True 8: Launching on nid006891 (8/32), master nid005314 port 9999, GPUs 8, CUDA: True 23: Launching on nid006906 (23/32), master nid005314 port 9999, GPUs 8, CUDA: True 1: Launching on nid005315 (1/32), master nid005314 port 9999, GPUs 8, CUDA: True 7: Launching on nid006890 (7/32), master nid005314 port 9999, GPUs 8, CUDA: True 3: Launching on nid005317 (3/32), master nid005314 port 9999, GPUs 8, CUDA: True 16: Launching on nid006899 (16/32), master nid005314 port 9999, GPUs 8, CUDA: True 13: Launching on nid006896 (13/32), master nid005314 port 9999, GPUs 8, CUDA: True 28: Launching on nid006911 (28/32), master nid005314 port 9999, GPUs 8, CUDA: True 24: Launching on nid006907 (24/32), master nid005314 port 9999, GPUs 8, CUDA: True 30: Launching on nid006913 (30/32), master nid005314 port 9999, GPUs 8, CUDA: True 5: Launching on nid005319 (5/32), master nid005314 port 9999, GPUs 8, CUDA: True 22: Launching on nid006905 (22/32), master nid005314 port 9999, GPUs 8, CUDA: True 10: Launching on nid006893 (10/32), master nid005314 port 9999, GPUs 8, CUDA: True 12: Launching on nid006895 (12/32), master nid005314 port 9999, GPUs 8, CUDA: True 2: Launching on nid005316 (2/32), master nid005314 port 9999, GPUs 8, CUDA: True 17: Launching on nid006900 (17/32), master nid005314 port 9999, GPUs 8, CUDA: True 25: Launching on nid006908 (25/32), master nid005314 port 9999, GPUs 8, CUDA: True 15: Launching on nid006898 (15/32), master nid005314 port 9999, GPUs 8, CUDA: True 11: Launching on nid006894 (11/32), master nid005314 port 9999, GPUs 8, CUDA: True 31: Launching on nid006914 (31/32), master nid005314 port 9999, GPUs 8, CUDA: True 0: Launching on nid005314 (0/32), master nid005314 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/2077178.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 ................................. 8192 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 ..................................... 2048 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-1b58b8 0: kv_channels ..................................... 128 0: layer_norm_fusion ............................... True 0: layernorm_epsilon ............................... 1e-05 0: lazy_mpu_init ................................... None 0: load ............................................ checkpoints_1b58b8 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 ................................ 4291992 0: lr_decay_style .................................. cosine 0: lr_decay_tokens ................................. None 0: lr_warmup_fraction .............................. None 0: lr_warmup_iters ................................. 0 0: lr_warmup_samples ............................... 4292 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 ............................. 16 0: num_channels .................................... 3 0: num_classes ..................................... 1000 0: num_layers ...................................... 28 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_1b58b8 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_1b58b8 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 ................................... 4291992 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 13:07:36,325] [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: 0.083 seconds 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: [1/1] c++ layer_norm_hip_kernel.cuda.o layer_norm_cuda.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o fused_mix_prec_layer_norm_cuda.so 0: >>> done with compiling and loading fused kernels. Compilation time: 23.585 seconds 0: time to initialize megatron (seconds): 28.956 0: [after megatron is initialized] datetime: 2022-11-28 13:08:12 0: building GPT model ... 0: [2022-11-28 13:08:13,016] [INFO] [utils.py:827:see_memory_usage] Before Building Model 0: [2022-11-28 13:08:13,017] [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 13:08:13,017] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.87 GB, percent = 6.5% 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 13:08:21,521] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer 0: stage=0 layers=35 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: ParallelTransformerLayerPipe 0: 30: ParallelTransformerLayerPipe 0: 31: undo 0: 32: MixedFusedLayerNorm 0: 33: EmbeddingPipe 0: 34: float16_to_fp32 0: loss: CrossEntropy 0: [2022-11-28 13:08:22,164] [INFO] [utils.py:827:see_memory_usage] After Building Model 0: [2022-11-28 13:08:22,164] [INFO] [utils.py:828:see_memory_usage] MA 2.83 GB Max_MA 2.83 GB CA 2.89 GB Max_CA 3 GB 0: [2022-11-28 13:08:22,164] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.91 GB, percent = 6.5% 0: setting training iterations to 16765 0: > learning rate decay style: cosine 0: DeepSpeed is enabled. 0: [2022-11-28 13:08:22,167] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown 0: [2022-11-28 13:08:42,105] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False 0: [2022-11-28 13:08:42,105] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer 0: [2022-11-28 13:08:42,105] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer 0: [2022-11-28 13:08:42,118] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam 0: [2022-11-28 13:08:42,118] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer 0: [2022-11-28 13:08:42,160] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer 0: [2022-11-28 13:08:42,161] [INFO] [utils.py:828:see_memory_usage] MA 2.83 GB Max_MA 2.84 GB CA 2.91 GB Max_CA 3 GB 0: [2022-11-28 13:08:42,161] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.61 GB, percent = 6.7% 0: ninja: no work to do. 0: Time to load utils op: 0.13877558708190918 seconds 28: Time to load utils op: 0.10818362236022949 seconds 0: Time to load utils op: 0.202528715133667 seconds 0: [2022-11-28 13:08:42,405] [INFO] [utils.py:827:see_memory_usage] before initializing group 0 0: [2022-11-28 13:08:42,405] [INFO] [utils.py:828:see_memory_usage] MA 2.83 GB Max_MA 2.83 GB CA 2.91 GB Max_CA 3 GB 0: [2022-11-28 13:08:42,405] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.62 GB, percent = 6.7% 0: ninja: no work to do. 0: Time to load utils op: 0.1145017147064209 seconds 9: Time to load utils op: 0.10976338386535645 secondsTime to load utils op: 0.10949087142944336 seconds 9: 9: Time to load utils op: 0.10841846466064453 seconds 9: Time to load utils op: 0.10787367820739746 seconds 9: Time to load utils op: 0.10865092277526855 secondsTime to load utils op: 0.10839700698852539 seconds 9: Time to load utils op: 0.10764193534851074 secondsTime 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0.0016560554504394531 seconds 4: Time to load utils op: 0.0013663768768310547 seconds 10: Time to load utils op: 0.0017521381378173828 seconds 4: Time to load utils op: 0.001285552978515625 secondsTime to load utils op: 0.0013217926025390625 seconds 4: 10: Time to load utils op: 0.0018787384033203125 seconds 4: Time to load utils op: 0.0013625621795654297 secondsTime to load utils op: 0.0012755393981933594 seconds 4: 4: Time to load utils op: 0.0013380050659179688 seconds 10: Time to load utils op: 0.00171661376953125 seconds 10: Time to load utils op: 0.0016834735870361328 secondsTime to load utils op: 0.0018665790557861328 seconds 10: 10: Time to load utils op: 0.0018506050109863281 seconds 10: Time to load utils op: 0.0017311573028564453 seconds 0: [2022-11-28 13:08:42,979] [INFO] [utils.py:827:see_memory_usage] before initializing group 1 0: [2022-11-28 13:08:42,979] [INFO] [utils.py:828:see_memory_usage] MA 5.8 GB Max_MA 5.8 GB CA 7.36 GB Max_CA 7 GB 0: [2022-11-28 13:08:42,980] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.62 GB, percent = 6.7% 0: Time to load utils op: 0.0005860328674316406 seconds 0: Time to load utils op: 0.0006284713745117188 seconds 0: Time to load utils op: 0.0005495548248291016 seconds 0: Time to load utils op: 0.0005545616149902344 seconds 0: Time to load utils op: 0.0005137920379638672 seconds 0: Time to load utils op: 0.0007970333099365234 secondsTime to load utils op: 0.0008111000061035156 seconds 0: 0: [2022-11-28 13:08:43,022] [INFO] [utils.py:827:see_memory_usage] after initializing group 1 0: [2022-11-28 13:08:43,023] [INFO] [utils.py:828:see_memory_usage] MA 8.5 GB Max_MA 8.5 GB CA 11.39 GB Max_CA 11 GB 0: [2022-11-28 13:08:43,023] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.77 GB, percent = 6.7% 0: [2022-11-28 13:08:43,056] [INFO] [utils.py:827:see_memory_usage] before initializing group 2 0: [2022-11-28 13:08:43,056] [INFO] [utils.py:828:see_memory_usage] MA 8.5 GB Max_MA 8.5 GB CA 11.39 GB Max_CA 11 GB 0: [2022-11-28 13:08:43,056] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.77 GB, percent = 6.7% 0: [2022-11-28 13:08:43,092] [INFO] [utils.py:827:see_memory_usage] after initializing group 2 0: [2022-11-28 13:08:43,093] [INFO] [utils.py:828:see_memory_usage] MA 8.5 GB Max_MA 8.5 GB CA 11.39 GB Max_CA 11 GB 0: [2022-11-28 13:08:43,093] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.77 GB, percent = 6.7% 0: [2022-11-28 13:08:43,123] [INFO] [utils.py:827:see_memory_usage] before initialize_optimizer 0: [2022-11-28 13:08:43,124] [INFO] [utils.py:828:see_memory_usage] MA 8.5 GB Max_MA 8.5 GB CA 11.39 GB Max_CA 11 GB 0: [2022-11-28 13:08:43,124] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.77 GB, percent = 6.7% 0: [2022-11-28 13:08:43,160] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer 0: [2022-11-28 13:08:43,161] [INFO] [utils.py:828:see_memory_usage] MA 8.55 GB Max_MA 8.55 GB CA 11.39 GB Max_CA 11 GB 0: [2022-11-28 13:08:43,161] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.77 GB, percent = 6.7% 0: [2022-11-28 13:08:43,192] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer 0: [2022-11-28 13:08:43,193] [INFO] [utils.py:828:see_memory_usage] MA 8.55 GB Max_MA 8.55 GB CA 11.39 GB Max_CA 11 GB 0: [2022-11-28 13:08:43,193] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 33.77 GB, percent = 6.7% 0: [2022-11-28 13:08:43,193] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam 0: [2022-11-28 13:08:43,193] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler 0: [2022-11-28 13:08:43,193] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = 0: [2022-11-28 13:08:43,193] [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 13:08:43,194] [INFO] [config.py:1007:print] DeepSpeedEngine configuration: 0: [2022-11-28 13:08:43,194] [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 13:08:43,194] [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 13:08:43,194] [INFO] [config.py:1011:print] amp_enabled .................. False 0: [2022-11-28 13:08:43,194] [INFO] [config.py:1011:print] amp_params ................... False 0: [2022-11-28 13:08:43,194] [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 13:08:43,194] [INFO] [config.py:1011:print] bfloat16_enabled ............. True 0: [2022-11-28 13:08:43,194] [INFO] [config.py:1011:print] checkpoint_parallel_write_pipeline False 0: [2022-11-28 13:08:43,194] [INFO] [config.py:1011:print] checkpoint_tag_validation_enabled True 0: [2022-11-28 13:08:43,194] [INFO] [config.py:1011:print] checkpoint_tag_validation_fail False 0: [2022-11-28 13:08:43,194] [INFO] [config.py:1011:print] comms_config ................. 0: [2022-11-28 13:08:43,194] [INFO] [config.py:1011:print] communication_data_type ...... None 0: [2022-11-28 13:08:43,194] [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 13:08:43,194] [INFO] [config.py:1011:print] curriculum_enabled ........... False 0: [2022-11-28 13:08:43,194] [INFO] [config.py:1011:print] curriculum_params ............ False 0: [2022-11-28 13:08:43,194] [INFO] [config.py:1011:print] dataloader_drop_last ......... False 0: [2022-11-28 13:08:43,194] [INFO] [config.py:1011:print] disable_allgather ............ False 0: [2022-11-28 13:08:43,194] [INFO] [config.py:1011:print] dump_state ................... False 0: [2022-11-28 13:08:43,194] [INFO] [config.py:1011:print] dynamic_loss_scale_args ...... None 0: [2022-11-28 13:08:43,194] [INFO] [config.py:1011:print] eigenvalue_enabled ........... False 0: [2022-11-28 13:08:43,194] [INFO] [config.py:1011:print] eigenvalue_gas_boundary_resolution 1 0: [2022-11-28 13:08:43,194] [INFO] [config.py:1011:print] eigenvalue_layer_name ........ bert.encoder.layer 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] eigenvalue_layer_num ......... 0 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] eigenvalue_max_iter .......... 100 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] eigenvalue_stability ......... 1e-06 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] eigenvalue_tol ............... 0.01 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] eigenvalue_verbose ........... False 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] elasticity_enabled ........... False 0: [2022-11-28 13:08:43,195] [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 13:08:43,195] [INFO] [config.py:1011:print] fp16_auto_cast ............... None 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] fp16_enabled ................. False 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] fp16_master_weights_and_gradients False 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] global_rank .................. 0 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] gradient_accumulation_steps .. 1 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] gradient_clipping ............ 1.0 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] gradient_predivide_factor .... 1.0 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] initial_dynamic_scale ........ 1 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] load_universal_checkpoint .... False 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] loss_scale ................... 1.0 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] memory_breakdown ............. False 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] monitor_config ............... 0: [2022-11-28 13:08:43,195] [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 13:08:43,195] [INFO] [config.py:1011:print] optimizer_legacy_fusion ...... False 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] optimizer_name ............... None 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] optimizer_params ............. None 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] pld_enabled .................. False 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] pld_params ................... False 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] prescale_gradients ........... False 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] scheduler_name ............... None 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] scheduler_params ............. None 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] sparse_attention ............. None 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] sparse_gradients_enabled ..... False 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] steps_per_print .............. 2000 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] train_batch_size ............. 256 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] train_micro_batch_size_per_gpu 1 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] use_node_local_storage ....... False 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] wall_clock_breakdown ......... False 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] world_size ................... 256 0: [2022-11-28 13:08:43,195] [INFO] [config.py:1011:print] zero_allow_untested_optimizer False 0: [2022-11-28 13:08:43,195] [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 13:08:43,196] [INFO] [config.py:1011:print] zero_enabled ................. False 0: [2022-11-28 13:08:43,196] [INFO] [config.py:1011:print] zero_optimization_stage ...... 0 0: [2022-11-28 13:08:43,196] [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: 0.00039839744567871094 seconds 0: [2022-11-28 13:08:43,196] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=1 micro_batch_size=1 0: [2022-11-28 13:08:43,273] [INFO] [engine.py:145:__init__] RANK=0 STAGE=0 LAYERS=35 [0, 35) STAGE_PARAMS=1517252608 (1517.253M) TOTAL_PARAMS=1517252608 (1517.253M) UNIQUE_PARAMS=1517252608 (1517.253M) 31: [2022-11-28 13:08:43,279] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,279] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,279] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,279] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,279] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,279] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,279] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,279] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,279] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,279] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,279] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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_1b58b8 0: will not load any checkpoints and will start from random 24: [2022-11-28 13:08:43,279] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,279] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,279] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,279] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,280] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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 13:08:43,281] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b58b8/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: 7.48 0: estimated model parameters: 1.517252608 0: estimated model parameters without embeddings: 1.410035712 0: [after model, optimizer, and learning rate scheduler are built] datetime: 2022-11-28 13:08:43 0: > building train, validation, and test datasets ... 0: > datasets target sizes (minimum size): 0: train: 4291992 0: validation: 4352 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 0.019033 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: > WARNING: could not find index map files, building the indices on rank 0 ... 0: > only one epoch required, setting separate_last_epoch to False 0: > elasped time to build and save doc-idx mapping (seconds): 15.110678 0: using: 0: number of documents: 199864130 0: number of epochs: 1 0: sequence length: 2048 0: total number of samples: 173377816 0: > elasped time to build and save sample-idx mapping (seconds): 4.141226 0: > building shuffle index with split [0, 173377816) and [173377816, 173377816) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 10.332788 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_train_indexmap_4291992ns_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_4291992ns_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_4291992ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.202 seconds 0: total number of samples: 173377817 0: total number of epochs: 1 0: > WARNING: could not find index map files, building the indices on rank 0 ... 0: > only one epoch required, setting separate_last_epoch to False 0: > elasped time to build and save doc-idx mapping (seconds): 0.494677 0: using: 0: number of documents: 10530249 0: number of epochs: 1 0: sequence length: 2048 0: total number of samples: 9118344 0: > elasped time to build and save sample-idx mapping (seconds): 0.226883 0: > building shuffle index with split [0, 9118344) and [9118344, 9118344) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 0.265724 0: > loading doc-idx mapping from /scratch/project_462000119/data/pile/megatron_data/meg-gpt2_pile_text_document_valid_indexmap_4352ns_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_4352ns_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_4352ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.024 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 0.012 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 13:09:34 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: 30662.55 | train/valid/test-data-iterators-setup: 50801.25 0: [000-000] 1.5173B / 1.4100B 0: [before the start of training step] datetime: 2022-11-28 13:09:34 0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 12042.1318359375 | max allocated: 25425.55322265625 | reserved: 29060.0 | max reserved: 29060.0 31: iteration 10/ 16765 | consumed samples: 2560 | consumed tokens: 5242880 | elapsed time per iteration (s): 2.84 | learning rate: 1.193E-04 | global batch size: 256 | lm loss: 1.063081E+01 | grad norm: 5.134 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 90.135 | TFLOPs: 7.45 | 31: iteration 20/ 16765 | consumed samples: 5120 | consumed tokens: 10485760 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 7.936409E+00 | grad norm: 3.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.941 | TFLOPs: 27.68 | 31: iteration 30/ 16765 | consumed samples: 7680 | consumed tokens: 15728640 | elapsed time per iteration (s): 0.89 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 7.332862E+00 | grad norm: 1.073 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 289.226 | TFLOPs: 23.90 | 31: iteration 40/ 16765 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 0.81 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 7.256773E+00 | grad norm: 0.645 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.828 | TFLOPs: 26.26 | 31: iteration 50/ 16765 | consumed samples: 12800 | consumed tokens: 26214400 | elapsed time per iteration (s): 0.93 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 7.205360E+00 | grad norm: 0.423 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 274.684 | TFLOPs: 22.70 | 31: iteration 60/ 16765 | consumed samples: 15360 | consumed tokens: 31457280 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 7.202299E+00 | grad norm: 0.734 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.196 | TFLOPs: 27.20 | 31: iteration 70/ 16765 | consumed samples: 17920 | consumed tokens: 36700160 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 7.047823E+00 | grad norm: 1.146 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.735 | TFLOPs: 27.00 | 31: iteration 80/ 16765 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 0.79 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.865755E+00 | grad norm: 0.723 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.027 | TFLOPs: 26.94 | 31: iteration 90/ 16765 | consumed samples: 23040 | consumed tokens: 47185920 | elapsed time per iteration (s): 0.75 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.779350E+00 | grad norm: 0.839 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.749 | TFLOPs: 28.32 | 31: iteration 100/ 16765 | consumed samples: 25600 | consumed tokens: 52428800 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.672111E+00 | grad norm: 0.845 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.287 | TFLOPs: 27.13 | 31: iteration 110/ 16765 | consumed samples: 28160 | consumed tokens: 57671680 | elapsed time per iteration (s): 0.74 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.595705E+00 | grad norm: 1.079 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.789 | TFLOPs: 28.57 | 31: iteration 120/ 16765 | consumed samples: 30720 | consumed tokens: 62914560 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.515253E+00 | grad norm: 0.704 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.173 | TFLOPs: 27.28 | 31: iteration 130/ 16765 | consumed samples: 33280 | consumed tokens: 68157440 | elapsed time per iteration (s): 0.75 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.454296E+00 | grad norm: 1.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.006 | TFLOPs: 28.18 | 31: iteration 140/ 16765 | consumed samples: 35840 | consumed tokens: 73400320 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.407523E+00 | grad norm: 0.941 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.192 | TFLOPs: 27.20 | 31: iteration 150/ 16765 | consumed samples: 38400 | consumed tokens: 78643200 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.353872E+00 | grad norm: 1.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.604 | TFLOPs: 27.57 | 31: iteration 160/ 16765 | consumed samples: 40960 | consumed tokens: 83886080 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.272926E+00 | grad norm: 0.857 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.948 | TFLOPs: 27.43 | 31: iteration 170/ 16765 | consumed samples: 43520 | consumed tokens: 89128960 | elapsed time per iteration (s): 0.74 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.246427E+00 | grad norm: 0.755 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.288 | TFLOPs: 28.53 | 31: iteration 180/ 16765 | consumed samples: 46080 | consumed tokens: 94371840 | elapsed time per iteration (s): 0.75 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.152810E+00 | grad norm: 0.716 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.787 | TFLOPs: 28.16 | 31: iteration 190/ 16765 | consumed samples: 48640 | consumed tokens: 99614720 | elapsed time per iteration (s): 0.73 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.115394E+00 | grad norm: 0.714 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.468 | TFLOPs: 28.96 | 31: iteration 200/ 16765 | consumed samples: 51200 | consumed tokens: 104857600 | elapsed time per iteration (s): 0.74 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 6.038461E+00 | grad norm: 0.736 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.976 | TFLOPs: 28.42 | 31: iteration 210/ 16765 | consumed samples: 53760 | consumed tokens: 110100480 | elapsed time per iteration (s): 0.74 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 6.012577E+00 | grad norm: 1.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.655 | TFLOPs: 28.73 | 31: iteration 220/ 16765 | consumed samples: 56320 | consumed tokens: 115343360 | elapsed time per iteration (s): 0.74 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.949404E+00 | grad norm: 0.864 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.366 | TFLOPs: 28.54 | 31: iteration 230/ 16765 | consumed samples: 58880 | consumed tokens: 120586240 | elapsed time per iteration (s): 0.73 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.916801E+00 | grad norm: 0.709 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.063 | TFLOPs: 29.17 | 31: iteration 240/ 16765 | consumed samples: 61440 | consumed tokens: 125829120 | elapsed time per iteration (s): 0.77 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.876215E+00 | grad norm: 0.830 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.264 | TFLOPs: 27.45 | 31: iteration 250/ 16765 | consumed samples: 64000 | consumed tokens: 131072000 | elapsed time per iteration (s): 0.77 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.801905E+00 | grad norm: 0.889 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.567 | TFLOPs: 27.64 | 31: iteration 260/ 16765 | consumed samples: 66560 | consumed tokens: 136314880 | elapsed time per iteration (s): 0.79 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.807340E+00 | grad norm: 0.723 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.076 | TFLOPs: 26.78 | 31: iteration 270/ 16765 | consumed samples: 69120 | consumed tokens: 141557760 | elapsed time per iteration (s): 0.77 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.732393E+00 | grad norm: 0.553 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.088 | TFLOPs: 27.61 | 31: iteration 280/ 16765 | consumed samples: 71680 | consumed tokens: 146800640 | elapsed time per iteration (s): 0.73 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.695369E+00 | grad norm: 0.600 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.382 | TFLOPs: 29.03 | 31: iteration 290/ 16765 | consumed samples: 74240 | consumed tokens: 152043520 | elapsed time per iteration (s): 0.80 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.639278E+00 | grad norm: 0.589 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.574 | TFLOPs: 26.41 | 31: iteration 300/ 16765 | consumed samples: 76800 | consumed tokens: 157286400 | elapsed time per iteration (s): 0.77 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.554661E+00 | grad norm: 0.610 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.739 | TFLOPs: 27.49 | 31: iteration 310/ 16765 | consumed samples: 79360 | consumed tokens: 162529280 | elapsed time per iteration (s): 0.76 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.583878E+00 | grad norm: 0.681 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.375 | TFLOPs: 27.79 | 31: iteration 320/ 16765 | consumed samples: 81920 | consumed tokens: 167772160 | elapsed time per iteration (s): 0.76 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.548922E+00 | grad norm: 0.519 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.993 | TFLOPs: 27.68 | 31: iteration 330/ 16765 | consumed samples: 84480 | consumed tokens: 173015040 | elapsed time per iteration (s): 0.80 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.507643E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.005 | TFLOPs: 26.52 | 31: iteration 340/ 16765 | consumed samples: 87040 | consumed tokens: 178257920 | elapsed time per iteration (s): 0.77 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.481051E+00 | grad norm: 0.901 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.667 | TFLOPs: 27.32 | 31: iteration 350/ 16765 | consumed samples: 89600 | consumed tokens: 183500800 | elapsed time per iteration (s): 0.75 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.415042E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.671 | TFLOPs: 28.07 | 31: iteration 360/ 16765 | consumed samples: 92160 | consumed tokens: 188743680 | elapsed time per iteration (s): 0.76 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.387699E+00 | grad norm: 0.463 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.013 | TFLOPs: 27.93 | 31: iteration 370/ 16765 | consumed samples: 94720 | consumed tokens: 193986560 | elapsed time per iteration (s): 0.74 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.325942E+00 | grad norm: 0.632 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.581 | TFLOPs: 28.72 | 31: iteration 380/ 16765 | consumed samples: 97280 | consumed tokens: 199229440 | elapsed time per iteration (s): 0.76 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.314634E+00 | grad norm: 0.413 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.672 | TFLOPs: 27.98 | 31: iteration 390/ 16765 | consumed samples: 99840 | consumed tokens: 204472320 | elapsed time per iteration (s): 0.74 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.254322E+00 | grad norm: 0.414 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.076 | TFLOPs: 28.60 | 31: iteration 400/ 16765 | consumed samples: 102400 | consumed tokens: 209715200 | elapsed time per iteration (s): 0.76 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.259164E+00 | grad norm: 0.619 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.129 | TFLOPs: 27.69 | 31: iteration 410/ 16765 | consumed samples: 104960 | consumed tokens: 214958080 | elapsed time per iteration (s): 0.79 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 5.225184E+00 | grad norm: 0.924 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.896 | TFLOPs: 26.85 | 31: iteration 420/ 16765 | consumed samples: 107520 | consumed tokens: 220200960 | elapsed time per iteration (s): 0.80 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 5.288214E+00 | grad norm: 0.505 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.162 | TFLOPs: 26.37 | 31: iteration 430/ 16765 | consumed samples: 110080 | consumed tokens: 225443840 | elapsed time per iteration (s): 0.84 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 5.182242E+00 | grad norm: 0.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 304.753 | TFLOPs: 25.18 | 31: iteration 440/ 16765 | consumed samples: 112640 | consumed tokens: 230686720 | elapsed time per iteration (s): 0.77 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 5.123219E+00 | grad norm: 0.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.987 | TFLOPs: 27.51 | 31: iteration 450/ 16765 | consumed samples: 115200 | consumed tokens: 235929600 | elapsed time per iteration (s): 0.73 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 5.086385E+00 | grad norm: 0.508 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.139 | TFLOPs: 28.85 | 31: iteration 460/ 16765 | consumed samples: 117760 | consumed tokens: 241172480 | elapsed time per iteration (s): 0.76 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 5.112965E+00 | grad norm: 0.530 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.651 | TFLOPs: 27.90 | 31: iteration 470/ 16765 | consumed samples: 120320 | consumed tokens: 246415360 | elapsed time per iteration (s): 0.76 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 5.067218E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.782 | TFLOPs: 27.99 | 31: iteration 480/ 16765 | consumed samples: 122880 | consumed tokens: 251658240 | elapsed time per iteration (s): 0.76 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 5.050237E+00 | grad norm: 0.591 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.175 | TFLOPs: 27.70 | 31: iteration 490/ 16765 | consumed samples: 125440 | consumed tokens: 256901120 | elapsed time per iteration (s): 0.77 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.986773E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.203 | TFLOPs: 27.45 | 31: iteration 500/ 16765 | consumed samples: 128000 | consumed tokens: 262144000 | elapsed time per iteration (s): 0.74 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.954884E+00 | grad norm: 0.584 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.135 | TFLOPs: 28.52 | 31: iteration 510/ 16765 | consumed samples: 130560 | consumed tokens: 267386880 | elapsed time per iteration (s): 0.75 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.945839E+00 | grad norm: 0.634 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.226 | TFLOPs: 28.03 | 31: iteration 520/ 16765 | consumed samples: 133120 | consumed tokens: 272629760 | elapsed time per iteration (s): 0.75 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.924832E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.053 | TFLOPs: 28.26 | 31: iteration 530/ 16765 | consumed samples: 135680 | consumed tokens: 277872640 | elapsed time per iteration (s): 0.82 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.847903E+00 | grad norm: 0.459 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.940 | TFLOPs: 25.86 | 31: iteration 540/ 16765 | consumed samples: 138240 | consumed tokens: 283115520 | elapsed time per iteration (s): 0.80 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.872444E+00 | grad norm: 0.393 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.226 | TFLOPs: 26.46 | 31: iteration 550/ 16765 | consumed samples: 140800 | consumed tokens: 288358400 | elapsed time per iteration (s): 0.77 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.862870E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.749 | TFLOPs: 27.58 | 31: iteration 560/ 16765 | consumed samples: 143360 | consumed tokens: 293601280 | elapsed time per iteration (s): 0.81 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.860995E+00 | grad norm: 0.491 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.883 | TFLOPs: 26.27 | 31: iteration 570/ 16765 | consumed samples: 145920 | consumed tokens: 298844160 | elapsed time per iteration (s): 0.76 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.824244E+00 | grad norm: 0.496 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.218 | TFLOPs: 27.95 | 31: iteration 580/ 16765 | consumed samples: 148480 | consumed tokens: 304087040 | elapsed time per iteration (s): 0.78 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.768566E+00 | grad norm: 0.461 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.525 | TFLOPs: 27.15 | 31: iteration 590/ 16765 | consumed samples: 151040 | consumed tokens: 309329920 | elapsed time per iteration (s): 0.73 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.710784E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.055 | TFLOPs: 28.92 | 31: iteration 600/ 16765 | consumed samples: 153600 | consumed tokens: 314572800 | elapsed time per iteration (s): 0.82 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.675801E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.810 | TFLOPs: 25.85 | 31: iteration 610/ 16765 | consumed samples: 156160 | consumed tokens: 319815680 | elapsed time per iteration (s): 0.86 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.648792E+00 | grad norm: 0.534 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 298.895 | TFLOPs: 24.70 | 31: iteration 620/ 16765 | consumed samples: 158720 | consumed tokens: 325058560 | elapsed time per iteration (s): 0.75 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.604844E+00 | grad norm: 0.477 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.336 | TFLOPs: 28.04 | 31: iteration 630/ 16765 | consumed samples: 161280 | consumed tokens: 330301440 | elapsed time per iteration (s): 0.81 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.679597E+00 | grad norm: 0.469 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.405 | TFLOPs: 26.23 | 31: iteration 640/ 16765 | consumed samples: 163840 | consumed tokens: 335544320 | elapsed time per iteration (s): 0.74 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.566786E+00 | grad norm: 0.410 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.934 | TFLOPs: 28.42 | 31: iteration 650/ 16765 | consumed samples: 166400 | consumed tokens: 340787200 | elapsed time per iteration (s): 0.76 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.587880E+00 | grad norm: 0.542 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.473 | TFLOPs: 27.80 | 31: iteration 660/ 16765 | consumed samples: 168960 | consumed tokens: 346030080 | elapsed time per iteration (s): 0.80 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.528239E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.676 | TFLOPs: 26.50 | 31: iteration 670/ 16765 | consumed samples: 171520 | consumed tokens: 351272960 | elapsed time per iteration (s): 0.78 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.450846E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.053 | TFLOPs: 27.19 | 31: iteration 680/ 16765 | consumed samples: 174080 | consumed tokens: 356515840 | elapsed time per iteration (s): 0.81 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.448309E+00 | grad norm: 0.482 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.355 | TFLOPs: 25.97 | 31: iteration 690/ 16765 | consumed samples: 176640 | consumed tokens: 361758720 | elapsed time per iteration (s): 0.78 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.434686E+00 | grad norm: 0.690 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.356 | TFLOPs: 27.21 | 31: iteration 700/ 16765 | consumed samples: 179200 | consumed tokens: 367001600 | elapsed time per iteration (s): 0.76 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 4.476636E+00 | grad norm: 0.494 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.267 | TFLOPs: 27.70 | 31: iteration 710/ 16765 | consumed samples: 181760 | consumed tokens: 372244480 | elapsed time per iteration (s): 0.73 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 4.416052E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.907 | TFLOPs: 29.00 | 31: iteration 720/ 16765 | consumed samples: 184320 | consumed tokens: 377487360 | elapsed time per iteration (s): 0.77 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 4.387988E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.460 | TFLOPs: 27.55 | 31: iteration 730/ 16765 | consumed samples: 186880 | consumed tokens: 382730240 | elapsed time per iteration (s): 0.82 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 4.324205E+00 | grad norm: 0.587 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.316 | TFLOPs: 25.89 | 31: iteration 740/ 16765 | consumed samples: 189440 | consumed tokens: 387973120 | elapsed time per iteration (s): 0.75 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 4.271995E+00 | grad norm: 0.401 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.723 | TFLOPs: 28.24 | 31: iteration 750/ 16765 | consumed samples: 192000 | consumed tokens: 393216000 | elapsed time per iteration (s): 0.73 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 4.188013E+00 | grad norm: 0.432 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.422 | TFLOPs: 29.04 | 31: iteration 760/ 16765 | consumed samples: 194560 | consumed tokens: 398458880 | elapsed time per iteration (s): 0.74 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 4.200581E+00 | grad norm: 0.535 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.013 | TFLOPs: 28.51 | 31: iteration 770/ 16765 | consumed samples: 197120 | consumed tokens: 403701760 | elapsed time per iteration (s): 0.74 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 4.196507E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.394 | TFLOPs: 28.46 | 31: iteration 780/ 16765 | consumed samples: 199680 | consumed tokens: 408944640 | elapsed time per iteration (s): 0.77 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 4.093194E+00 | grad norm: 0.411 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.059 | TFLOPs: 27.52 | 31: iteration 790/ 16765 | consumed samples: 202240 | consumed tokens: 414187520 | elapsed time per iteration (s): 0.76 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 4.038875E+00 | grad norm: 0.403 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.439 | TFLOPs: 27.96 | 31: iteration 800/ 16765 | consumed samples: 204800 | consumed tokens: 419430400 | elapsed time per iteration (s): 0.75 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 4.012914E+00 | grad norm: 0.707 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.322 | TFLOPs: 28.20 | 31: iteration 810/ 16765 | consumed samples: 207360 | consumed tokens: 424673280 | elapsed time per iteration (s): 0.80 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.997769E+00 | grad norm: 0.421 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.838 | TFLOPs: 26.35 | 31: iteration 820/ 16765 | consumed samples: 209920 | consumed tokens: 429916160 | elapsed time per iteration (s): 0.76 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.980702E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.680 | TFLOPs: 27.65 | 31: iteration 830/ 16765 | consumed samples: 212480 | consumed tokens: 435159040 | elapsed time per iteration (s): 0.80 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.951370E+00 | grad norm: 0.499 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.065 | TFLOPs: 26.36 | 31: iteration 840/ 16765 | consumed samples: 215040 | consumed tokens: 440401920 | elapsed time per iteration (s): 0.84 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.851602E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.499 | TFLOPs: 25.24 | 31: iteration 850/ 16765 | consumed samples: 217600 | consumed tokens: 445644800 | elapsed time per iteration (s): 0.75 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.836467E+00 | grad norm: 0.387 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.222 | TFLOPs: 28.03 | 31: iteration 860/ 16765 | consumed samples: 220160 | consumed tokens: 450887680 | elapsed time per iteration (s): 0.80 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.806359E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.613 | TFLOPs: 26.49 | 31: iteration 870/ 16765 | consumed samples: 222720 | consumed tokens: 456130560 | elapsed time per iteration (s): 0.79 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.807568E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.206 | TFLOPs: 26.71 | 31: iteration 880/ 16765 | consumed samples: 225280 | consumed tokens: 461373440 | elapsed time per iteration (s): 0.73 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.802142E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.680 | TFLOPs: 28.89 | 31: iteration 890/ 16765 | consumed samples: 227840 | consumed tokens: 466616320 | elapsed time per iteration (s): 0.78 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.741287E+00 | grad norm: 0.389 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.365 | TFLOPs: 27.22 | 31: iteration 900/ 16765 | consumed samples: 230400 | consumed tokens: 471859200 | elapsed time per iteration (s): 0.77 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.707653E+00 | grad norm: 0.503 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.322 | TFLOPs: 27.54 | 31: iteration 910/ 16765 | consumed samples: 232960 | consumed tokens: 477102080 | elapsed time per iteration (s): 0.75 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.723659E+00 | grad norm: 0.386 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.065 | TFLOPs: 28.18 | 31: iteration 920/ 16765 | consumed samples: 235520 | consumed tokens: 482344960 | elapsed time per iteration (s): 0.77 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.710704E+00 | grad norm: 0.460 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.996 | TFLOPs: 27.43 | 31: iteration 930/ 16765 | consumed samples: 238080 | consumed tokens: 487587840 | elapsed time per iteration (s): 0.77 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.822399E+00 | grad norm: 0.926 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.757 | TFLOPs: 27.33 | 31: iteration 940/ 16765 | consumed samples: 240640 | consumed tokens: 492830720 | elapsed time per iteration (s): 0.76 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.909631E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.045 | TFLOPs: 27.68 | 31: iteration 950/ 16765 | consumed samples: 243200 | consumed tokens: 498073600 | elapsed time per iteration (s): 0.76 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.811584E+00 | grad norm: 0.518 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.249 | TFLOPs: 27.70 | 31: iteration 960/ 16765 | consumed samples: 245760 | consumed tokens: 503316480 | elapsed time per iteration (s): 0.74 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.700594E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.872 | TFLOPs: 28.66 | 31: iteration 970/ 16765 | consumed samples: 248320 | consumed tokens: 508559360 | elapsed time per iteration (s): 0.77 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.651985E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.810 | TFLOPs: 27.42 | 31: iteration 980/ 16765 | consumed samples: 250880 | consumed tokens: 513802240 | elapsed time per iteration (s): 0.77 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.572463E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.601 | TFLOPs: 27.40 | 31: iteration 990/ 16765 | consumed samples: 253440 | consumed tokens: 519045120 | elapsed time per iteration (s): 0.80 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.573041E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.167 | TFLOPs: 26.37 | 31: iteration 1000/ 16765 | consumed samples: 256000 | consumed tokens: 524288000 | elapsed time per iteration (s): 0.78 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.535329E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.690 | TFLOPs: 26.99 | 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 1000 | lm loss value: 3.493057E+00 | lm loss PPL: 3.288634E+01 | 31: ------------------------------------------------------------------------------------------ 31: iteration 1010/ 16765 | consumed samples: 258560 | consumed tokens: 529530880 | elapsed time per iteration (s): 0.78 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.557426E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.606 | TFLOPs: 27.23 | 31: iteration 1020/ 16765 | consumed samples: 261120 | consumed tokens: 534773760 | elapsed time per iteration (s): 0.77 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.516489E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.089 | TFLOPs: 27.52 | 31: iteration 1030/ 16765 | consumed samples: 263680 | consumed tokens: 540016640 | elapsed time per iteration (s): 0.74 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.500623E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.714 | TFLOPs: 28.57 | 31: iteration 1040/ 16765 | consumed samples: 266240 | consumed tokens: 545259520 | elapsed time per iteration (s): 0.74 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.542547E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.128 | TFLOPs: 28.77 | 31: iteration 1050/ 16765 | consumed samples: 268800 | consumed tokens: 550502400 | elapsed time per iteration (s): 0.75 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.508295E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.425 | TFLOPs: 28.05 | 31: iteration 1060/ 16765 | consumed samples: 271360 | consumed tokens: 555745280 | elapsed time per iteration (s): 0.74 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.458563E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.659 | TFLOPs: 28.48 | 31: iteration 1070/ 16765 | consumed samples: 273920 | consumed tokens: 560988160 | elapsed time per iteration (s): 0.82 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.446986E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.815 | TFLOPs: 25.85 | 31: iteration 1080/ 16765 | consumed samples: 276480 | consumed tokens: 566231040 | elapsed time per iteration (s): 0.74 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.382948E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.019 | TFLOPs: 28.51 | 31: iteration 1090/ 16765 | consumed samples: 279040 | consumed tokens: 571473920 | elapsed time per iteration (s): 0.75 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.413582E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.818 | TFLOPs: 28.08 | 31: iteration 1100/ 16765 | consumed samples: 281600 | consumed tokens: 576716800 | elapsed time per iteration (s): 0.79 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.438043E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.135 | TFLOPs: 26.62 | 31: iteration 1110/ 16765 | consumed samples: 284160 | consumed tokens: 581959680 | elapsed time per iteration (s): 0.77 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.385360E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.054 | TFLOPs: 27.60 | 31: iteration 1120/ 16765 | consumed samples: 286720 | consumed tokens: 587202560 | elapsed time per iteration (s): 0.80 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.410425E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.001 | TFLOPs: 26.44 | 31: iteration 1130/ 16765 | consumed samples: 289280 | consumed tokens: 592445440 | elapsed time per iteration (s): 0.82 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.405931E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.640 | TFLOPs: 25.67 | 31: iteration 1140/ 16765 | consumed samples: 291840 | consumed tokens: 597688320 | elapsed time per iteration (s): 0.82 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.354124E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.233 | TFLOPs: 25.72 | 31: iteration 1150/ 16765 | consumed samples: 294400 | consumed tokens: 602931200 | elapsed time per iteration (s): 0.78 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.387986E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.976 | TFLOPs: 27.10 | 31: iteration 1160/ 16765 | consumed samples: 296960 | consumed tokens: 608174080 | elapsed time per iteration (s): 0.78 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.366528E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.870 | TFLOPs: 27.01 | 31: iteration 1170/ 16765 | consumed samples: 299520 | consumed tokens: 613416960 | elapsed time per iteration (s): 0.74 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.359145E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.212 | TFLOPs: 28.52 | 31: iteration 1180/ 16765 | consumed samples: 302080 | consumed tokens: 618659840 | elapsed time per iteration (s): 0.74 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 3.362514E+00 | grad norm: 0.397 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.102 | TFLOPs: 28.43 | 31: iteration 1190/ 16765 | consumed samples: 304640 | consumed tokens: 623902720 | elapsed time per iteration (s): 0.77 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 3.375778E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.742 | TFLOPs: 27.33 | 31: iteration 1200/ 16765 | consumed samples: 307200 | consumed tokens: 629145600 | elapsed time per iteration (s): 0.74 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 3.328363E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.855 | TFLOPs: 28.49 | 31: iteration 1210/ 16765 | consumed samples: 309760 | consumed tokens: 634388480 | elapsed time per iteration (s): 0.75 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 3.314919E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.154 | TFLOPs: 28.02 | 31: iteration 1220/ 16765 | consumed samples: 312320 | consumed tokens: 639631360 | elapsed time per iteration (s): 0.78 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 3.256532E+00 | grad norm: 0.366 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.101 | TFLOPs: 27.19 | 31: iteration 1230/ 16765 | consumed samples: 314880 | consumed tokens: 644874240 | elapsed time per iteration (s): 0.75 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 3.311127E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.316 | TFLOPs: 28.29 | 31: iteration 1240/ 16765 | consumed samples: 317440 | consumed tokens: 650117120 | elapsed time per iteration (s): 0.75 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.273118E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.916 | TFLOPs: 28.25 | 31: iteration 1250/ 16765 | consumed samples: 320000 | consumed tokens: 655360000 | elapsed time per iteration (s): 0.76 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.273848E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.586 | TFLOPs: 27.89 | 31: iteration 1260/ 16765 | consumed samples: 322560 | consumed tokens: 660602880 | elapsed time per iteration (s): 0.76 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.211267E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.381 | TFLOPs: 27.96 | 31: iteration 1270/ 16765 | consumed samples: 325120 | consumed tokens: 665845760 | elapsed time per iteration (s): 0.75 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 3.273162E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.353 | TFLOPs: 28.21 | 31: iteration 1280/ 16765 | consumed samples: 327680 | consumed tokens: 671088640 | elapsed time per iteration (s): 0.75 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 3.270018E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.000 | TFLOPs: 28.26 | 31: iteration 1290/ 16765 | consumed samples: 330240 | consumed tokens: 676331520 | elapsed time per iteration (s): 0.72 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 3.144499E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.154 | TFLOPs: 29.51 | 31: iteration 1300/ 16765 | consumed samples: 332800 | consumed tokens: 681574400 | elapsed time per iteration (s): 0.75 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 3.220145E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.291 | TFLOPs: 28.37 | 31: iteration 1310/ 16765 | consumed samples: 335360 | consumed tokens: 686817280 | elapsed time per iteration (s): 0.72 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 3.204782E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.651 | TFLOPs: 29.47 | 31: iteration 1320/ 16765 | consumed samples: 337920 | consumed tokens: 692060160 | elapsed time per iteration (s): 0.71 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.200827E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.767 | TFLOPs: 29.64 | 31: iteration 1330/ 16765 | consumed samples: 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iteration 1360/ 16765 | consumed samples: 348160 | consumed tokens: 713031680 | elapsed time per iteration (s): 0.73 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 3.135192E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.309 | TFLOPs: 28.86 | 31: iteration 1370/ 16765 | consumed samples: 350720 | consumed tokens: 718274560 | elapsed time per iteration (s): 0.78 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 3.169523E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.442 | TFLOPs: 27.14 | 31: iteration 1380/ 16765 | consumed samples: 353280 | consumed tokens: 723517440 | elapsed time per iteration (s): 0.77 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 3.163638E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.519 | TFLOPs: 27.48 | 31: iteration 1390/ 16765 | consumed samples: 355840 | consumed tokens: 728760320 | elapsed time per iteration (s): 0.78 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 3.156750E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.632 | TFLOPs: 27.15 | 31: iteration 1400/ 16765 | consumed samples: 358400 | consumed tokens: 734003200 | elapsed time per iteration (s): 0.75 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 3.199025E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.096 | TFLOPs: 28.27 | 31: iteration 1410/ 16765 | consumed samples: 360960 | consumed tokens: 739246080 | elapsed time per iteration (s): 0.80 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.161975E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.990 | TFLOPs: 26.61 | 31: iteration 1420/ 16765 | consumed samples: 363520 | consumed tokens: 744488960 | elapsed time per iteration (s): 0.72 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.291960E+00 | grad norm: 2.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.262 | TFLOPs: 29.35 | 31: iteration 1430/ 16765 | consumed samples: 366080 | consumed tokens: 749731840 | elapsed time per iteration (s): 0.74 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.678347E+00 | grad norm: 1.470 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.356 | TFLOPs: 28.62 | 31: iteration 1440/ 16765 | consumed samples: 368640 | consumed tokens: 754974720 | elapsed time per iteration (s): 0.74 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.665760E+00 | grad norm: 0.977 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.483 | TFLOPs: 28.46 | 31: iteration 1450/ 16765 | consumed samples: 371200 | consumed tokens: 760217600 | elapsed time per iteration (s): 0.73 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.540125E+00 | grad norm: 0.668 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.859 | TFLOPs: 28.83 | 31: iteration 1460/ 16765 | consumed samples: 373760 | consumed tokens: 765460480 | elapsed time per iteration (s): 0.72 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.375723E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.448 | TFLOPs: 29.54 | 31: iteration 1470/ 16765 | consumed samples: 376320 | consumed tokens: 770703360 | elapsed time per iteration (s): 0.82 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.248205E+00 | grad norm: 0.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.895 | TFLOPs: 25.77 | 31: iteration 1480/ 16765 | consumed samples: 378880 | consumed tokens: 775946240 | elapsed time per iteration (s): 0.77 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.226163E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.953 | TFLOPs: 27.51 | 31: iteration 1490/ 16765 | consumed samples: 381440 | consumed tokens: 781189120 | elapsed time per iteration (s): 0.74 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.211333E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.567 | TFLOPs: 28.47 | 31: iteration 1500/ 16765 | consumed samples: 384000 | consumed tokens: 786432000 | elapsed time per iteration (s): 0.76 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 3.167941E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.444 | TFLOPs: 27.80 | 31: iteration 1510/ 16765 | consumed samples: 386560 | consumed tokens: 791674880 | elapsed time per iteration (s): 0.75 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 3.156527E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.627 | TFLOPs: 28.23 | 31: iteration 1520/ 16765 | consumed samples: 389120 | consumed tokens: 796917760 | elapsed time per iteration (s): 0.75 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.142040E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.959 | TFLOPs: 28.26 | 31: iteration 1530/ 16765 | consumed samples: 391680 | consumed tokens: 802160640 | elapsed time per iteration (s): 0.74 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.125540E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.141 | TFLOPs: 28.44 | 31: iteration 1540/ 16765 | consumed samples: 394240 | consumed tokens: 807403520 | elapsed time per iteration (s): 0.76 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.136293E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.455 | TFLOPs: 27.72 | 31: iteration 1550/ 16765 | consumed samples: 396800 | consumed tokens: 812646400 | elapsed time per iteration (s): 0.77 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 3.106124E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.644 | TFLOPs: 27.57 | 31: iteration 1560/ 16765 | consumed samples: 399360 | consumed tokens: 817889280 | elapsed time per iteration (s): 0.75 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 3.081497E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.374 | TFLOPs: 28.29 | 31: iteration 1570/ 16765 | consumed samples: 401920 | consumed tokens: 823132160 | elapsed time per iteration (s): 0.79 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 3.067605E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.455 | TFLOPs: 26.73 | 31: iteration 1580/ 16765 | consumed samples: 404480 | consumed tokens: 828375040 | elapsed time per iteration (s): 0.72 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 3.092460E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.934 | TFLOPs: 29.25 | 31: iteration 1590/ 16765 | consumed samples: 407040 | consumed tokens: 833617920 | elapsed time per iteration (s): 0.75 | learning rate: 1.961E-04 | global batch size: 256 | lm loss: 3.095699E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.325 | TFLOPs: 28.37 | 31: iteration 1600/ 16765 | consumed samples: 409600 | consumed tokens: 838860800 | elapsed time per iteration (s): 0.74 | learning rate: 1.961E-04 | global batch size: 256 | lm loss: 3.058942E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.410 | TFLOPs: 28.46 | 31: iteration 1610/ 16765 | consumed samples: 412160 | consumed tokens: 844103680 | elapsed time per iteration (s): 0.77 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 3.039781E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.334 | TFLOPs: 27.38 | 31: iteration 1620/ 16765 | consumed samples: 414720 | consumed tokens: 849346560 | elapsed time per iteration (s): 0.79 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 3.036106E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.172 | TFLOPs: 26.62 | 31: iteration 1630/ 16765 | consumed samples: 417280 | consumed tokens: 854589440 | elapsed time per iteration (s): 0.74 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 3.049512E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.603 | TFLOPs: 28.47 | 31: iteration 1640/ 16765 | consumed samples: 419840 | consumed tokens: 859832320 | elapsed time per iteration (s): 0.77 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 3.019765E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.121 | TFLOPs: 27.36 | 31: iteration 1650/ 16765 | consumed samples: 422400 | consumed tokens: 865075200 | elapsed time per iteration (s): 0.79 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 3.079600E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.477 | TFLOPs: 26.81 | 31: iteration 1660/ 16765 | consumed samples: 424960 | consumed tokens: 870318080 | elapsed time per iteration (s): 0.77 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 3.003313E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.473 | TFLOPs: 27.55 | 31: iteration 1670/ 16765 | consumed samples: 427520 | consumed tokens: 875560960 | elapsed time per iteration (s): 0.75 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.034853E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.880 | TFLOPs: 28.17 | 31: iteration 1680/ 16765 | consumed samples: 430080 | consumed tokens: 880803840 | elapsed time per iteration (s): 0.76 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.005855E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.094 | TFLOPs: 27.85 | 31: iteration 1690/ 16765 | consumed samples: 432640 | consumed tokens: 886046720 | elapsed time per iteration (s): 0.72 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 3.054245E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.358 | TFLOPs: 29.20 | 31: iteration 1700/ 16765 | consumed samples: 435200 | consumed tokens: 891289600 | elapsed time per iteration (s): 0.72 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 3.044417E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.620 | TFLOPs: 29.55 | 31: iteration 1710/ 16765 | consumed samples: 437760 | consumed tokens: 896532480 | elapsed time per iteration (s): 0.73 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 3.014813E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.535 | TFLOPs: 29.05 | 31: iteration 1720/ 16765 | consumed samples: 440320 | consumed tokens: 901775360 | elapsed time per iteration (s): 0.72 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 3.006260E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.770 | TFLOPs: 29.48 | 31: iteration 1730/ 16765 | consumed samples: 442880 | consumed tokens: 907018240 | elapsed time per iteration (s): 0.75 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 2.995142E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.865 | TFLOPs: 28.33 | 31: iteration 1740/ 16765 | consumed samples: 445440 | consumed tokens: 912261120 | elapsed time per iteration (s): 0.86 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.031083E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 298.855 | TFLOPs: 24.69 | 31: iteration 1750/ 16765 | consumed samples: 448000 | consumed tokens: 917504000 | elapsed time per iteration (s): 0.82 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.000780E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.765 | TFLOPs: 25.68 | 31: iteration 1760/ 16765 | consumed samples: 450560 | consumed tokens: 922746880 | elapsed time per iteration (s): 0.80 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 3.010951E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.315 | TFLOPs: 26.55 | 31: iteration 1770/ 16765 | consumed samples: 453120 | consumed tokens: 927989760 | elapsed time per iteration (s): 0.80 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 2.985769E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.804 | TFLOPs: 26.34 | 31: iteration 1780/ 16765 | consumed samples: 455680 | consumed tokens: 933232640 | elapsed time per iteration (s): 0.72 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 2.967535E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.683 | TFLOPs: 29.39 | 31: iteration 1790/ 16765 | consumed samples: 458240 | consumed tokens: 938475520 | elapsed time per iteration (s): 0.72 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 3.018641E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.802 | TFLOPs: 29.23 | 31: iteration 1800/ 16765 | consumed samples: 460800 | consumed tokens: 943718400 | elapsed time per iteration (s): 0.76 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 2.955806E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.153 | TFLOPs: 27.78 | 31: iteration 1810/ 16765 | consumed samples: 463360 | consumed tokens: 948961280 | elapsed time per iteration (s): 0.77 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 2.984089E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.729 | TFLOPs: 27.58 | 31: iteration 1820/ 16765 | consumed samples: 465920 | consumed tokens: 954204160 | elapsed time per iteration (s): 0.72 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 2.964517E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.983 | TFLOPs: 29.50 | 31: iteration 1830/ 16765 | consumed samples: 468480 | consumed tokens: 959447040 | elapsed time per iteration (s): 0.78 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 2.951015E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.646 | TFLOPs: 27.24 | 31: iteration 1840/ 16765 | consumed samples: 471040 | consumed tokens: 964689920 | elapsed time per iteration (s): 0.75 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 2.949505E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.378 | TFLOPs: 28.04 | 31: iteration 1850/ 16765 | consumed samples: 473600 | consumed tokens: 969932800 | elapsed time per iteration (s): 0.74 | learning rate: 1.947E-04 | global batch size: 256 | lm loss: 2.957392E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.718 | TFLOPs: 28.48 | 31: iteration 1860/ 16765 | consumed samples: 476160 | consumed tokens: 975175680 | elapsed time per iteration (s): 0.74 | learning rate: 1.947E-04 | global batch size: 256 | lm loss: 2.915266E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.029 | TFLOPs: 28.59 | 31: iteration 1870/ 16765 | consumed samples: 478720 | consumed tokens: 980418560 | elapsed time per iteration (s): 0.81 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 2.926275E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.913 | TFLOPs: 26.10 | 31: iteration 1880/ 16765 | consumed samples: 481280 | consumed tokens: 985661440 | elapsed time per iteration (s): 0.76 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 2.906042E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.781 | TFLOPs: 27.83 | 31: iteration 1890/ 16765 | consumed samples: 483840 | consumed tokens: 990904320 | elapsed time per iteration (s): 0.74 | learning rate: 1.945E-04 | global batch size: 256 | lm loss: 2.955344E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.622 | TFLOPs: 28.48 | 31: iteration 1900/ 16765 | consumed samples: 486400 | consumed tokens: 996147200 | elapsed time per iteration (s): 0.76 | learning rate: 1.944E-04 | global batch size: 256 | lm loss: 2.893807E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.228 | TFLOPs: 27.78 | 31: iteration 1910/ 16765 | consumed samples: 488960 | consumed tokens: 1001390080 | elapsed time per iteration (s): 0.74 | learning rate: 1.944E-04 | global batch size: 256 | lm loss: 2.949057E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.027 | TFLOPs: 28.76 | 31: iteration 1920/ 16765 | consumed samples: 491520 | consumed tokens: 1006632960 | elapsed time per iteration (s): 0.80 | learning rate: 1.943E-04 | global batch size: 256 | lm loss: 2.910205E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.603 | TFLOPs: 26.57 | 31: iteration 1930/ 16765 | consumed samples: 494080 | consumed tokens: 1011875840 | elapsed time per iteration (s): 0.77 | learning rate: 1.943E-04 | global batch size: 256 | lm loss: 2.921705E+00 | grad norm: 0.227 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.613 | TFLOPs: 27.40 | 31: iteration 1940/ 16765 | consumed samples: 496640 | consumed tokens: 1017118720 | elapsed time per iteration (s): 0.75 | learning rate: 1.942E-04 | global batch size: 256 | lm loss: 2.910236E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.574 | TFLOPs: 28.14 | 31: iteration 1950/ 16765 | consumed samples: 499200 | consumed tokens: 1022361600 | elapsed time per iteration (s): 0.74 | learning rate: 1.941E-04 | global batch size: 256 | lm loss: 2.888236E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.617 | TFLOPs: 28.72 | 31: iteration 1960/ 16765 | consumed samples: 501760 | consumed tokens: 1027604480 | elapsed time per iteration (s): 0.77 | learning rate: 1.941E-04 | global batch size: 256 | lm loss: 2.942665E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.289 | TFLOPs: 27.37 | 31: iteration 1970/ 16765 | consumed samples: 504320 | consumed tokens: 1032847360 | elapsed time per iteration (s): 0.83 | learning rate: 1.940E-04 | global batch size: 256 | lm loss: 2.945481E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.146 | TFLOPs: 25.46 | 31: iteration 1980/ 16765 | consumed samples: 506880 | consumed tokens: 1038090240 | elapsed time per iteration (s): 0.75 | learning rate: 1.940E-04 | global batch size: 256 | lm loss: 2.912003E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.175 | TFLOPs: 28.11 | 31: iteration 1990/ 16765 | consumed samples: 509440 | consumed tokens: 1043333120 | elapsed time per iteration (s): 0.75 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 2.937299E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.130 | TFLOPs: 28.27 | 0: [2022-11-28 13:35:26,908] [INFO] [logging.py:68:log_dist] [Rank 0] step=2000, skipped=0, lr=[0.00019384429927076077, 0.00019384429927076077, 0.00019384429927076077], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 2000/ 16765 | consumed samples: 512000 | consumed tokens: 1048576000 | elapsed time per iteration (s): 0.78 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 2.925288E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.674 | TFLOPs: 27.24 | 0: steps: 2000 loss: 3.0021 iter time (s): 0.773 samples/sec: 331.354 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 2000 | lm loss value: 2.817647E+00 | lm loss PPL: 1.673743E+01 | 31: ------------------------------------------------------------------------------------------ 31: iteration 2010/ 16765 | consumed samples: 514560 | consumed tokens: 1053818880 | elapsed time per iteration (s): 0.78 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 2.951532E+00 | grad norm: 0.386 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.888 | TFLOPs: 27.01 | 31: iteration 2020/ 16765 | consumed samples: 517120 | consumed tokens: 1059061760 | elapsed time per iteration (s): 0.82 | learning rate: 1.937E-04 | global batch size: 256 | lm loss: 2.968214E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.617 | TFLOPs: 25.75 | 31: iteration 2030/ 16765 | consumed samples: 519680 | consumed tokens: 1064304640 | elapsed time per iteration (s): 0.77 | learning rate: 1.937E-04 | global batch size: 256 | lm loss: 2.878915E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.254 | TFLOPs: 27.62 | 31: iteration 2040/ 16765 | consumed samples: 522240 | consumed tokens: 1069547520 | elapsed time per iteration (s): 0.77 | learning rate: 1.936E-04 | global batch size: 256 | lm loss: 2.898552E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.362 | TFLOPs: 27.63 | 31: iteration 2050/ 16765 | consumed samples: 524800 | consumed tokens: 1074790400 | elapsed time per iteration (s): 0.76 | learning rate: 1.935E-04 | global batch size: 256 | lm loss: 2.920959E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.210 | TFLOPs: 27.78 | 31: iteration 2060/ 16765 | consumed samples: 527360 | consumed tokens: 1080033280 | elapsed time per iteration (s): 0.79 | learning rate: 1.935E-04 | global batch size: 256 | lm loss: 2.892229E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.588 | TFLOPs: 26.90 | 31: iteration 2070/ 16765 | consumed samples: 529920 | consumed tokens: 1085276160 | elapsed time per iteration (s): 0.74 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 2.868414E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.298 | TFLOPs: 28.61 | 31: iteration 2080/ 16765 | consumed samples: 532480 | consumed tokens: 1090519040 | elapsed time per iteration (s): 0.74 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 2.889664E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.683 | TFLOPs: 28.65 | 31: iteration 2090/ 16765 | consumed samples: 535040 | consumed tokens: 1095761920 | elapsed time per iteration (s): 0.74 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 2.879631E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.849 | TFLOPs: 28.41 | 31: iteration 2100/ 16765 | consumed samples: 537600 | consumed tokens: 1101004800 | elapsed time per iteration (s): 0.75 | learning rate: 1.932E-04 | global batch size: 256 | lm loss: 2.868474E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.699 | TFLOPs: 28.07 | 31: iteration 2110/ 16765 | consumed samples: 540160 | consumed tokens: 1106247680 | elapsed time per iteration (s): 0.75 | learning rate: 1.932E-04 | global batch size: 256 | lm loss: 2.854866E+00 | grad norm: 0.375 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.766 | TFLOPs: 28.32 | 31: iteration 2120/ 16765 | consumed samples: 542720 | consumed tokens: 1111490560 | elapsed time per iteration (s): 0.79 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 2.874190E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.138 | TFLOPs: 26.87 | 31: iteration 2130/ 16765 | consumed samples: 545280 | consumed tokens: 1116733440 | elapsed time per iteration (s): 0.77 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 2.879882E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.205 | TFLOPs: 27.53 | 31: iteration 2140/ 16765 | consumed samples: 547840 | consumed tokens: 1121976320 | elapsed time per iteration (s): 0.72 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 2.869205E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.953 | TFLOPs: 29.49 | 31: iteration 2150/ 16765 | consumed samples: 550400 | consumed tokens: 1127219200 | elapsed time per iteration (s): 0.76 | learning rate: 1.929E-04 | global batch size: 256 | lm loss: 2.854521E+00 | grad norm: 0.224 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.517 | TFLOPs: 27.89 | 31: iteration 2160/ 16765 | consumed samples: 552960 | consumed tokens: 1132462080 | elapsed time per iteration (s): 0.75 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 2.855443E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.289 | TFLOPs: 28.28 | 31: iteration 2170/ 16765 | consumed samples: 555520 | consumed tokens: 1137704960 | elapsed time per iteration (s): 0.73 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 2.869793E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.075 | TFLOPs: 29.17 | 31: iteration 2180/ 16765 | consumed samples: 558080 | consumed tokens: 1142947840 | elapsed time per iteration (s): 0.72 | learning rate: 1.927E-04 | global batch size: 256 | lm loss: 2.877223E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.824 | TFLOPs: 29.24 | 31: iteration 2190/ 16765 | consumed samples: 560640 | consumed tokens: 1148190720 | elapsed time per iteration (s): 0.71 | learning rate: 1.926E-04 | global batch size: 256 | lm loss: 2.853390E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.490 | TFLOPs: 29.70 | 31: iteration 2200/ 16765 | consumed samples: 563200 | consumed tokens: 1153433600 | elapsed time per iteration (s): 0.77 | learning rate: 1.926E-04 | global batch size: 256 | lm loss: 2.872301E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.179 | TFLOPs: 27.36 | 31: iteration 2210/ 16765 | consumed samples: 565760 | consumed tokens: 1158676480 | elapsed time per iteration (s): 0.87 | learning rate: 1.925E-04 | global batch size: 256 | lm loss: 2.823950E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 294.305 | TFLOPs: 24.32 | 31: iteration 2220/ 16765 | consumed samples: 568320 | consumed tokens: 1163919360 | elapsed time per iteration (s): 0.81 | learning rate: 1.924E-04 | global batch size: 256 | lm loss: 2.889070E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.987 | TFLOPs: 26.03 | 31: iteration 2230/ 16765 | consumed samples: 570880 | consumed tokens: 1169162240 | elapsed time per iteration (s): 0.79 | learning rate: 1.924E-04 | global batch size: 256 | lm loss: 2.842215E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.015 | TFLOPs: 26.69 | 31: iteration 2240/ 16765 | consumed samples: 573440 | consumed tokens: 1174405120 | elapsed time per iteration (s): 0.78 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 2.867549E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.831 | TFLOPs: 27.17 | 31: iteration 2250/ 16765 | consumed samples: 576000 | consumed tokens: 1179648000 | elapsed time per iteration (s): 0.74 | learning rate: 1.922E-04 | global batch size: 256 | lm loss: 2.828814E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.501 | TFLOPs: 28.71 | 31: iteration 2260/ 16765 | consumed samples: 578560 | consumed tokens: 1184890880 | elapsed time per iteration (s): 0.74 | learning rate: 1.921E-04 | global batch size: 256 | lm loss: 2.796054E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.734 | TFLOPs: 28.48 | 31: iteration 2270/ 16765 | consumed samples: 581120 | consumed tokens: 1190133760 | elapsed time per iteration (s): 0.77 | learning rate: 1.921E-04 | global batch size: 256 | lm loss: 2.798551E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.192 | TFLOPs: 27.61 | 31: iteration 2280/ 16765 | consumed samples: 583680 | consumed tokens: 1195376640 | elapsed time per iteration (s): 0.73 | learning rate: 1.920E-04 | global batch size: 256 | lm loss: 2.822193E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.520 | TFLOPs: 29.13 | 31: iteration 2290/ 16765 | consumed samples: 586240 | consumed tokens: 1200619520 | elapsed time per iteration (s): 0.77 | learning rate: 1.919E-04 | global batch size: 256 | lm loss: 2.851592E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.758 | TFLOPs: 27.33 | 31: iteration 2300/ 16765 | consumed samples: 588800 | consumed tokens: 1205862400 | elapsed time per iteration (s): 0.76 | learning rate: 1.919E-04 | global batch size: 256 | lm loss: 2.825892E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.218 | TFLOPs: 27.86 | 31: iteration 2310/ 16765 | consumed samples: 591360 | consumed tokens: 1211105280 | elapsed time per iteration (s): 0.77 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 2.847167E+00 | grad norm: 0.240 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.079 | TFLOPs: 27.44 | 31: iteration 2320/ 16765 | consumed samples: 593920 | consumed tokens: 1216348160 | elapsed time per iteration (s): 0.76 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 2.838051E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.045 | TFLOPs: 27.85 | 31: iteration 2330/ 16765 | consumed samples: 596480 | consumed tokens: 1221591040 | elapsed time per iteration (s): 0.75 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 2.767639E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.595 | TFLOPs: 28.14 | 31: iteration 2340/ 16765 | consumed samples: 599040 | consumed tokens: 1226833920 | elapsed time per iteration (s): 0.74 | learning rate: 1.916E-04 | global batch size: 256 | lm loss: 2.780923E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.445 | TFLOPs: 28.63 | 31: iteration 2350/ 16765 | consumed samples: 601600 | consumed tokens: 1232076800 | elapsed time per iteration (s): 0.75 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 2.807504E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.857 | TFLOPs: 28.33 | 31: iteration 2360/ 16765 | consumed samples: 604160 | consumed tokens: 1237319680 | elapsed time per iteration (s): 0.75 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 2.825076E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.271 | TFLOPs: 28.03 | 31: iteration 2370/ 16765 | consumed samples: 606720 | consumed tokens: 1242562560 | elapsed time per iteration (s): 0.76 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 2.834376E+00 | grad norm: 0.229 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.987 | TFLOPs: 27.76 | 31: iteration 2380/ 16765 | consumed samples: 609280 | consumed tokens: 1247805440 | elapsed time per iteration (s): 0.73 | learning rate: 1.913E-04 | global batch size: 256 | lm loss: 2.813998E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.881 | TFLOPs: 29.16 | 31: iteration 2390/ 16765 | consumed samples: 611840 | consumed tokens: 1253048320 | elapsed time per iteration (s): 0.76 | learning rate: 1.912E-04 | global batch size: 256 | lm loss: 2.802072E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.196 | TFLOPs: 27.78 | 31: iteration 2400/ 16765 | consumed samples: 614400 | consumed tokens: 1258291200 | elapsed time per iteration (s): 0.76 | learning rate: 1.912E-04 | global batch size: 256 | lm loss: 2.846601E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.891 | TFLOPs: 27.67 | 31: iteration 2410/ 16765 | consumed samples: 616960 | consumed tokens: 1263534080 | elapsed time per iteration (s): 0.78 | learning rate: 1.911E-04 | global batch size: 256 | lm loss: 2.806309E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.413 | TFLOPs: 27.05 | 31: iteration 2420/ 16765 | consumed samples: 619520 | consumed tokens: 1268776960 | elapsed time per iteration (s): 0.82 | learning rate: 1.910E-04 | global batch size: 256 | lm loss: 2.797816E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.909 | TFLOPs: 25.86 | 31: iteration 2430/ 16765 | consumed samples: 622080 | consumed tokens: 1274019840 | elapsed time per iteration (s): 0.78 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 2.802891E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.804 | TFLOPs: 27.25 | 31: iteration 2440/ 16765 | consumed samples: 624640 | consumed tokens: 1279262720 | elapsed time per iteration (s): 0.79 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 2.773865E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.088 | TFLOPs: 26.61 | 31: iteration 2450/ 16765 | consumed samples: 627200 | consumed tokens: 1284505600 | elapsed time per iteration (s): 0.79 | learning rate: 1.908E-04 | global batch size: 256 | lm loss: 2.809040E+00 | grad norm: 0.593 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.462 | TFLOPs: 26.81 | 31: iteration 2460/ 16765 | consumed samples: 629760 | consumed tokens: 1289748480 | elapsed time per iteration (s): 0.81 | learning rate: 1.907E-04 | global batch size: 256 | lm loss: 3.084768E+00 | grad norm: 2.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.600 | TFLOPs: 26.16 | 31: iteration 2470/ 16765 | consumed samples: 632320 | consumed tokens: 1294991360 | elapsed time per iteration (s): 0.81 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 3.301868E+00 | grad norm: 1.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.724 | TFLOPs: 26.01 | 31: iteration 2480/ 16765 | consumed samples: 634880 | consumed tokens: 1300234240 | elapsed time per iteration (s): 0.79 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 3.295126E+00 | grad norm: 1.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.025 | TFLOPs: 26.61 | 31: iteration 2490/ 16765 | consumed samples: 637440 | consumed tokens: 1305477120 | elapsed time per iteration (s): 0.80 | learning rate: 1.905E-04 | global batch size: 256 | lm loss: 3.300154E+00 | grad norm: 1.084 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.070 | TFLOPs: 26.36 | 31: iteration 2500/ 16765 | consumed samples: 640000 | consumed tokens: 1310720000 | elapsed time per iteration (s): 0.78 | learning rate: 1.904E-04 | global batch size: 256 | lm loss: 3.158663E+00 | grad norm: 0.467 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.693 | TFLOPs: 27.08 | 31: iteration 2510/ 16765 | consumed samples: 642560 | consumed tokens: 1315962880 | elapsed time per iteration (s): 0.78 | learning rate: 1.903E-04 | global batch size: 256 | lm loss: 3.019776E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.687 | TFLOPs: 26.99 | 31: iteration 2520/ 16765 | consumed samples: 645120 | consumed tokens: 1321205760 | elapsed time per iteration (s): 0.77 | learning rate: 1.903E-04 | global batch size: 256 | lm loss: 2.900251E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.255 | TFLOPs: 27.54 | 31: iteration 2530/ 16765 | consumed samples: 647680 | consumed tokens: 1326448640 | elapsed time per iteration (s): 0.80 | learning rate: 1.902E-04 | global batch size: 256 | lm loss: 2.875137E+00 | grad norm: 0.223 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.437 | TFLOPs: 26.56 | 31: iteration 2540/ 16765 | consumed samples: 650240 | consumed tokens: 1331691520 | elapsed time per iteration (s): 0.79 | learning rate: 1.901E-04 | global batch size: 256 | lm loss: 2.837867E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.351 | TFLOPs: 26.64 | 31: iteration 2550/ 16765 | consumed samples: 652800 | consumed tokens: 1336934400 | elapsed time per iteration (s): 0.75 | learning rate: 1.900E-04 | global batch size: 256 | lm loss: 2.801213E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.076 | TFLOPs: 28.27 | 31: iteration 2560/ 16765 | consumed samples: 655360 | consumed tokens: 1342177280 | elapsed time per iteration (s): 0.78 | learning rate: 1.900E-04 | global batch size: 256 | lm loss: 2.803368E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.714 | TFLOPs: 27.24 | 31: iteration 2570/ 16765 | consumed samples: 657920 | consumed tokens: 1347420160 | elapsed time per iteration (s): 0.82 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 2.811929E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.922 | TFLOPs: 25.69 | 31: iteration 2580/ 16765 | consumed samples: 660480 | consumed tokens: 1352663040 | elapsed time per iteration (s): 0.76 | learning rate: 1.898E-04 | global batch size: 256 | lm loss: 2.811013E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.567 | TFLOPs: 27.73 | 31: iteration 2590/ 16765 | consumed samples: 663040 | consumed tokens: 1357905920 | elapsed time per iteration (s): 0.74 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 2.831988E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.557 | TFLOPs: 28.47 | 31: iteration 2600/ 16765 | consumed samples: 665600 | consumed tokens: 1363148800 | elapsed time per iteration (s): 0.76 | learning rate: 1.896E-04 | global batch size: 256 | lm loss: 2.776926E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.518 | TFLOPs: 27.97 | 31: iteration 2610/ 16765 | consumed samples: 668160 | consumed tokens: 1368391680 | elapsed time per iteration (s): 0.74 | learning rate: 1.896E-04 | global batch size: 256 | lm loss: 2.809958E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.943 | TFLOPs: 28.67 | 31: iteration 2620/ 16765 | consumed samples: 670720 | consumed tokens: 1373634560 | elapsed time per iteration (s): 0.73 | learning rate: 1.895E-04 | global batch size: 256 | lm loss: 2.814608E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.372 | TFLOPs: 28.79 | 31: iteration 2630/ 16765 | consumed samples: 673280 | consumed tokens: 1378877440 | elapsed time per iteration (s): 0.75 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 2.785609E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.431 | TFLOPs: 28.05 | 31: iteration 2640/ 16765 | consumed samples: 675840 | consumed tokens: 1384120320 | elapsed time per iteration (s): 0.73 | learning rate: 1.893E-04 | global batch size: 256 | lm loss: 2.829593E+00 | grad norm: 0.212 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.983 | TFLOPs: 29.00 | 31: iteration 2650/ 16765 | consumed samples: 678400 | consumed tokens: 1389363200 | elapsed time per iteration (s): 0.77 | learning rate: 1.892E-04 | global batch size: 256 | lm loss: 2.796008E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.252 | TFLOPs: 27.62 | 31: iteration 2660/ 16765 | consumed samples: 680960 | consumed tokens: 1394606080 | elapsed time per iteration (s): 0.78 | learning rate: 1.892E-04 | global batch size: 256 | lm loss: 2.765788E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.276 | TFLOPs: 27.04 | 31: iteration 2670/ 16765 | consumed samples: 683520 | consumed tokens: 1399848960 | elapsed time per iteration (s): 0.83 | learning rate: 1.891E-04 | global batch size: 256 | lm loss: 2.770349E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.109 | TFLOPs: 25.38 | 31: iteration 2680/ 16765 | consumed samples: 686080 | consumed tokens: 1405091840 | elapsed time per iteration (s): 0.81 | learning rate: 1.890E-04 | global batch size: 256 | lm loss: 2.735746E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.524 | TFLOPs: 26.15 | 31: iteration 2690/ 16765 | consumed samples: 688640 | consumed tokens: 1410334720 | elapsed time per iteration (s): 0.79 | learning rate: 1.889E-04 | global batch size: 256 | lm loss: 2.759236E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.499 | TFLOPs: 26.81 | 31: iteration 2700/ 16765 | consumed samples: 691200 | consumed tokens: 1415577600 | elapsed time per iteration (s): 0.78 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 2.769468E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.755 | TFLOPs: 27.08 | 31: iteration 2710/ 16765 | consumed samples: 693760 | consumed tokens: 1420820480 | elapsed time per iteration (s): 0.77 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 2.729566E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.263 | TFLOPs: 27.54 | 31: iteration 2720/ 16765 | consumed samples: 696320 | consumed tokens: 1426063360 | elapsed time per iteration (s): 0.74 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 2.787442E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.799 | TFLOPs: 28.66 | 31: iteration 2730/ 16765 | consumed samples: 698880 | consumed tokens: 1431306240 | elapsed time per iteration (s): 0.76 | learning rate: 1.886E-04 | global batch size: 256 | lm loss: 2.745638E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.211 | TFLOPs: 27.78 | 31: iteration 2740/ 16765 | consumed samples: 701440 | consumed tokens: 1436549120 | elapsed time per iteration (s): 0.79 | learning rate: 1.885E-04 | global batch size: 256 | lm loss: 2.720125E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.384 | TFLOPs: 26.72 | 31: iteration 2750/ 16765 | consumed samples: 704000 | consumed tokens: 1441792000 | elapsed time per iteration (s): 0.74 | learning rate: 1.884E-04 | global batch size: 256 | lm loss: 2.729332E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.366 | TFLOPs: 28.70 | 31: iteration 2760/ 16765 | consumed samples: 706560 | consumed tokens: 1447034880 | elapsed time per iteration (s): 0.74 | learning rate: 1.883E-04 | global batch size: 256 | lm loss: 2.742089E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.825 | TFLOPs: 28.49 | 31: iteration 2770/ 16765 | consumed samples: 709120 | consumed tokens: 1452277760 | elapsed time per iteration (s): 0.75 | learning rate: 1.883E-04 | global batch size: 256 | lm loss: 2.764997E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.628 | TFLOPs: 28.31 | 31: iteration 2780/ 16765 | consumed samples: 711680 | consumed tokens: 1457520640 | elapsed time per iteration (s): 0.81 | learning rate: 1.882E-04 | global batch size: 256 | lm loss: 2.752436E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.230 | TFLOPs: 26.05 | 31: iteration 2790/ 16765 | consumed samples: 714240 | consumed tokens: 1462763520 | elapsed time per iteration (s): 0.82 | learning rate: 1.881E-04 | global batch size: 256 | lm loss: 2.765395E+00 | grad norm: 0.215 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.370 | TFLOPs: 25.81 | 31: iteration 2800/ 16765 | consumed samples: 716800 | consumed tokens: 1468006400 | elapsed time per iteration (s): 0.80 | learning rate: 1.880E-04 | global batch size: 256 | lm loss: 2.786149E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.943 | TFLOPs: 26.35 | 31: iteration 2810/ 16765 | consumed samples: 719360 | consumed tokens: 1473249280 | elapsed time per iteration (s): 0.79 | learning rate: 1.879E-04 | global batch size: 256 | lm loss: 2.704698E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.260 | TFLOPs: 26.79 | 31: iteration 2820/ 16765 | consumed samples: 721920 | consumed tokens: 1478492160 | elapsed time per iteration (s): 0.80 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 2.776393E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.578 | TFLOPs: 26.41 | 31: iteration 2830/ 16765 | consumed samples: 724480 | consumed tokens: 1483735040 | elapsed time per iteration (s): 0.74 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 2.768629E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.326 | TFLOPs: 28.45 | 31: iteration 2840/ 16765 | consumed samples: 727040 | consumed tokens: 1488977920 | elapsed time per iteration (s): 0.76 | learning rate: 1.877E-04 | global batch size: 256 | lm loss: 2.725514E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.527 | TFLOPs: 27.89 | 31: iteration 2850/ 16765 | consumed samples: 729600 | consumed tokens: 1494220800 | elapsed time per iteration (s): 0.75 | learning rate: 1.876E-04 | global batch size: 256 | lm loss: 2.745104E+00 | grad norm: 0.207 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.083 | TFLOPs: 28.18 | 31: iteration 2860/ 16765 | consumed samples: 732160 | consumed tokens: 1499463680 | elapsed time per iteration (s): 0.79 | learning rate: 1.875E-04 | global batch size: 256 | lm loss: 2.739863E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.025 | TFLOPs: 26.69 | 31: iteration 2870/ 16765 | consumed samples: 734720 | consumed tokens: 1504706560 | elapsed time per iteration (s): 0.81 | learning rate: 1.874E-04 | global batch size: 256 | lm loss: 2.748850E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.092 | TFLOPs: 26.04 | 31: iteration 2880/ 16765 | consumed samples: 737280 | consumed tokens: 1509949440 | elapsed time per iteration (s): 0.72 | learning rate: 1.873E-04 | global batch size: 256 | lm loss: 2.737396E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.629 | TFLOPs: 29.30 | 31: iteration 2890/ 16765 | consumed samples: 739840 | consumed tokens: 1515192320 | elapsed time per iteration (s): 0.74 | learning rate: 1.872E-04 | global batch size: 256 | lm loss: 2.719591E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.846 | TFLOPs: 28.66 | 31: iteration 2900/ 16765 | consumed samples: 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iteration 2930/ 16765 | consumed samples: 750080 | consumed tokens: 1536163840 | elapsed time per iteration (s): 0.72 | learning rate: 1.869E-04 | global batch size: 256 | lm loss: 2.687488E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.895 | TFLOPs: 29.41 | 31: iteration 2940/ 16765 | consumed samples: 752640 | consumed tokens: 1541406720 | elapsed time per iteration (s): 0.79 | learning rate: 1.868E-04 | global batch size: 256 | lm loss: 2.695672E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.675 | TFLOPs: 26.74 | 31: iteration 2950/ 16765 | consumed samples: 755200 | consumed tokens: 1546649600 | elapsed time per iteration (s): 0.76 | learning rate: 1.867E-04 | global batch size: 256 | lm loss: 2.688206E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.325 | TFLOPs: 27.87 | 31: iteration 2960/ 16765 | consumed samples: 757760 | consumed tokens: 1551892480 | elapsed time per iteration (s): 0.75 | learning rate: 1.866E-04 | global batch size: 256 | lm loss: 2.739470E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.577 | TFLOPs: 28.39 | 31: iteration 2970/ 16765 | consumed samples: 760320 | consumed tokens: 1557135360 | elapsed time per iteration (s): 0.76 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 2.745861E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.243 | TFLOPs: 27.95 | 31: iteration 2980/ 16765 | consumed samples: 762880 | consumed tokens: 1562378240 | elapsed time per iteration (s): 0.72 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 2.720176E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.963 | TFLOPs: 29.33 | 31: iteration 2990/ 16765 | consumed samples: 765440 | consumed tokens: 1567621120 | elapsed time per iteration (s): 0.79 | learning rate: 1.864E-04 | global batch size: 256 | lm loss: 2.708914E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.270 | TFLOPs: 26.79 | 31: iteration 3000/ 16765 | consumed samples: 768000 | consumed tokens: 1572864000 | elapsed time per iteration (s): 0.75 | learning rate: 1.863E-04 | global batch size: 256 | lm loss: 2.713124E+00 | grad norm: 0.232 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.530 | TFLOPs: 28.06 | 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 3000 | lm loss value: 2.664286E+00 | lm loss PPL: 1.435770E+01 | 31: ------------------------------------------------------------------------------------------ 31: iteration 3010/ 16765 | consumed samples: 770560 | consumed tokens: 1578106880 | elapsed time per iteration (s): 0.77 | learning rate: 1.862E-04 | global batch size: 256 | lm loss: 2.691538E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.293 | TFLOPs: 27.54 | 31: iteration 3020/ 16765 | consumed samples: 773120 | consumed tokens: 1583349760 | elapsed time per iteration (s): 0.74 | learning rate: 1.861E-04 | global batch size: 256 | lm loss: 2.709715E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.397 | TFLOPs: 28.70 | 31: iteration 3030/ 16765 | consumed samples: 775680 | consumed tokens: 1588592640 | elapsed time per iteration (s): 0.73 | learning rate: 1.860E-04 | global batch size: 256 | lm loss: 2.665281E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.810 | TFLOPs: 28.90 | 31: iteration 3040/ 16765 | consumed samples: 778240 | consumed tokens: 1593835520 | elapsed time per iteration (s): 0.74 | learning rate: 1.859E-04 | global batch size: 256 | lm loss: 2.704689E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.288 | TFLOPs: 28.78 | 31: iteration 3050/ 16765 | consumed samples: 780800 | consumed tokens: 1599078400 | elapsed time per iteration (s): 0.83 | learning rate: 1.858E-04 | global batch size: 256 | lm loss: 2.710092E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.120 | TFLOPs: 25.54 | 31: iteration 3060/ 16765 | consumed samples: 783360 | consumed tokens: 1604321280 | elapsed time per iteration (s): 0.78 | learning rate: 1.857E-04 | global batch size: 256 | lm loss: 2.727743E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.640 | TFLOPs: 27.16 | 31: iteration 3070/ 16765 | consumed samples: 785920 | consumed tokens: 1609564160 | elapsed time per iteration (s): 0.75 | learning rate: 1.856E-04 | global batch size: 256 | lm loss: 2.728845E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.378 | TFLOPs: 28.29 | 31: iteration 3080/ 16765 | consumed samples: 788480 | consumed tokens: 1614807040 | elapsed time per iteration (s): 0.75 | learning rate: 1.855E-04 | global batch size: 256 | lm loss: 2.697031E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.354 | TFLOPs: 28.04 | 31: iteration 3090/ 16765 | consumed samples: 791040 | consumed tokens: 1620049920 | elapsed time per iteration (s): 0.76 | learning rate: 1.855E-04 | global batch size: 256 | lm loss: 2.695955E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.534 | TFLOPs: 27.89 | 31: iteration 3100/ 16765 | consumed samples: 793600 | consumed tokens: 1625292800 | elapsed time per iteration (s): 0.80 | learning rate: 1.854E-04 | global batch size: 256 | lm loss: 2.723809E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.057 | TFLOPs: 26.28 | 31: iteration 3110/ 16765 | consumed samples: 796160 | consumed tokens: 1630535680 | elapsed time per iteration (s): 0.73 | learning rate: 1.853E-04 | global batch size: 256 | lm loss: 2.661008E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.971 | TFLOPs: 29.00 | 31: iteration 3120/ 16765 | consumed samples: 798720 | consumed tokens: 1635778560 | elapsed time per iteration (s): 0.77 | learning rate: 1.852E-04 | global batch size: 256 | lm loss: 2.700329E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.517 | TFLOPs: 27.64 | 31: iteration 3130/ 16765 | consumed samples: 801280 | consumed tokens: 1641021440 | elapsed time per iteration (s): 0.73 | learning rate: 1.851E-04 | global batch size: 256 | lm loss: 2.693569E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.118 | TFLOPs: 28.85 | 31: iteration 3140/ 16765 | consumed samples: 803840 | consumed tokens: 1646264320 | elapsed time per iteration (s): 0.74 | learning rate: 1.850E-04 | global batch size: 256 | lm loss: 2.681076E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.869 | TFLOPs: 28.58 | 31: iteration 3150/ 16765 | consumed samples: 806400 | consumed tokens: 1651507200 | elapsed time per iteration (s): 0.75 | learning rate: 1.849E-04 | global batch size: 256 | lm loss: 2.719156E+00 | grad norm: 0.230 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.656 | TFLOPs: 28.23 | 31: iteration 3160/ 16765 | consumed samples: 808960 | consumed tokens: 1656750080 | elapsed time per iteration (s): 0.75 | learning rate: 1.848E-04 | global batch size: 256 | lm loss: 2.669207E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.490 | TFLOPs: 28.30 | 31: iteration 3170/ 16765 | consumed samples: 811520 | consumed tokens: 1661992960 | elapsed time per iteration (s): 0.75 | learning rate: 1.847E-04 | global batch size: 256 | lm loss: 2.679223E+00 | grad norm: 0.222 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.423 | TFLOPs: 28.05 | 31: iteration 3180/ 16765 | consumed samples: 814080 | consumed tokens: 1667235840 | elapsed time per iteration (s): 0.73 | learning rate: 1.846E-04 | global batch size: 256 | lm loss: 2.694962E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.545 | TFLOPs: 29.13 | 31: iteration 3190/ 16765 | consumed samples: 816640 | consumed tokens: 1672478720 | elapsed time per iteration (s): 0.74 | learning rate: 1.845E-04 | global batch size: 256 | lm loss: 2.650593E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.766 | TFLOPs: 28.74 | 31: iteration 3200/ 16765 | consumed samples: 819200 | consumed tokens: 1677721600 | elapsed time per iteration (s): 0.74 | learning rate: 1.844E-04 | global batch size: 256 | lm loss: 2.656689E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.735 | TFLOPs: 28.40 | 31: iteration 3210/ 16765 | consumed samples: 821760 | consumed tokens: 1682964480 | elapsed time per iteration (s): 0.76 | learning rate: 1.843E-04 | global batch size: 256 | lm loss: 2.704890E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.782 | TFLOPs: 27.83 | 31: iteration 3220/ 16765 | consumed samples: 824320 | consumed tokens: 1688207360 | elapsed time per iteration (s): 0.82 | learning rate: 1.842E-04 | global batch size: 256 | lm loss: 2.664433E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.530 | TFLOPs: 25.66 | 31: iteration 3230/ 16765 | consumed samples: 826880 | consumed tokens: 1693450240 | elapsed time per iteration (s): 0.73 | learning rate: 1.841E-04 | global batch size: 256 | lm loss: 2.690228E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.820 | TFLOPs: 28.82 | 31: iteration 3240/ 16765 | consumed samples: 829440 | consumed tokens: 1698693120 | elapsed time per iteration (s): 0.78 | learning rate: 1.840E-04 | global batch size: 256 | lm loss: 2.664611E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.560 | TFLOPs: 27.07 | 31: iteration 3250/ 16765 | consumed samples: 832000 | consumed tokens: 1703936000 | elapsed time per iteration (s): 0.88 | learning rate: 1.840E-04 | global batch size: 256 | lm loss: 2.642442E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 290.902 | TFLOPs: 24.04 | 31: iteration 3260/ 16765 | consumed samples: 834560 | consumed tokens: 1709178880 | elapsed time per iteration (s): 0.75 | learning rate: 1.839E-04 | global batch size: 256 | lm loss: 2.673169E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.334 | TFLOPs: 28.37 | 31: iteration 3270/ 16765 | consumed samples: 837120 | consumed tokens: 1714421760 | elapsed time per iteration (s): 0.76 | learning rate: 1.838E-04 | global batch size: 256 | lm loss: 2.676339E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.404 | TFLOPs: 27.96 | 31: iteration 3280/ 16765 | consumed samples: 839680 | consumed tokens: 1719664640 | elapsed time per iteration (s): 0.73 | learning rate: 1.837E-04 | global batch size: 256 | lm loss: 2.664779E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.018 | TFLOPs: 29.00 | 31: iteration 3290/ 16765 | consumed samples: 842240 | consumed tokens: 1724907520 | elapsed time per iteration (s): 0.75 | learning rate: 1.836E-04 | global batch size: 256 | lm loss: 2.636284E+00 | grad norm: 0.233 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.276 | TFLOPs: 28.36 | 31: iteration 3300/ 16765 | consumed samples: 844800 | consumed tokens: 1730150400 | elapsed time per iteration (s): 0.77 | learning rate: 1.835E-04 | global batch size: 256 | lm loss: 2.700801E+00 | grad norm: 0.235 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.381 | TFLOPs: 27.55 | 31: iteration 3310/ 16765 | consumed samples: 847360 | consumed tokens: 1735393280 | elapsed time per iteration (s): 0.74 | learning rate: 1.834E-04 | global batch size: 256 | lm loss: 2.731117E+00 | grad norm: 0.535 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.347 | TFLOPs: 28.45 | 31: iteration 3320/ 16765 | consumed samples: 849920 | consumed tokens: 1740636160 | elapsed time per iteration (s): 0.80 | learning rate: 1.833E-04 | global batch size: 256 | lm loss: 2.743738E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.777 | TFLOPs: 26.51 | 31: iteration 3330/ 16765 | consumed samples: 852480 | consumed tokens: 1745879040 | elapsed time per iteration (s): 0.77 | learning rate: 1.832E-04 | global batch size: 256 | lm loss: 2.729902E+00 | grad norm: 0.234 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.912 | TFLOPs: 27.51 | 31: iteration 3340/ 16765 | consumed samples: 855040 | consumed tokens: 1751121920 | elapsed time per iteration (s): 0.77 | learning rate: 1.831E-04 | global batch size: 256 | lm loss: 2.707386E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.739 | TFLOPs: 27.41 | 31: iteration 3350/ 16765 | consumed samples: 857600 | consumed tokens: 1756364800 | elapsed time per iteration (s): 0.76 | learning rate: 1.830E-04 | global batch size: 256 | lm loss: 2.688275E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.960 | TFLOPs: 27.93 | 31: iteration 3360/ 16765 | consumed samples: 860160 | consumed tokens: 1761607680 | elapsed time per iteration (s): 0.79 | learning rate: 1.829E-04 | global batch size: 256 | lm loss: 2.673673E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.702 | TFLOPs: 26.91 | 31: iteration 3370/ 16765 | consumed samples: 862720 | consumed tokens: 1766850560 | elapsed time per iteration (s): 0.78 | learning rate: 1.828E-04 | global batch size: 256 | lm loss: 2.691475E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.674 | TFLOPs: 27.16 | 31: iteration 3380/ 16765 | consumed samples: 865280 | consumed tokens: 1772093440 | elapsed time per iteration (s): 0.72 | learning rate: 1.827E-04 | global batch size: 256 | lm loss: 2.669750E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.385 | TFLOPs: 29.37 | 31: iteration 3390/ 16765 | consumed samples: 867840 | consumed tokens: 1777336320 | elapsed time per iteration (s): 0.74 | learning rate: 1.826E-04 | global batch size: 256 | lm loss: 2.665889E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.293 | TFLOPs: 28.61 | 31: iteration 3400/ 16765 | consumed samples: 870400 | consumed tokens: 1782579200 | elapsed time per iteration (s): 0.77 | learning rate: 1.825E-04 | global batch size: 256 | lm loss: 2.637507E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.668 | TFLOPs: 27.32 | 31: iteration 3410/ 16765 | consumed samples: 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iteration 3440/ 16765 | consumed samples: 880640 | consumed tokens: 1803550720 | elapsed time per iteration (s): 0.77 | learning rate: 1.821E-04 | global batch size: 256 | lm loss: 2.613009E+00 | grad norm: 0.214 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.835 | TFLOPs: 27.50 | 31: iteration 3450/ 16765 | consumed samples: 883200 | consumed tokens: 1808793600 | elapsed time per iteration (s): 0.74 | learning rate: 1.820E-04 | global batch size: 256 | lm loss: 2.676177E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.275 | TFLOPs: 28.69 | 31: iteration 3460/ 16765 | consumed samples: 885760 | consumed tokens: 1814036480 | elapsed time per iteration (s): 0.76 | learning rate: 1.819E-04 | global batch size: 256 | lm loss: 2.649043E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.005 | TFLOPs: 28.01 | 31: iteration 3470/ 16765 | consumed samples: 888320 | consumed tokens: 1819279360 | elapsed time per iteration (s): 0.74 | learning rate: 1.818E-04 | global batch size: 256 | lm loss: 2.677937E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.118 | TFLOPs: 28.76 | 31: iteration 3480/ 16765 | consumed samples: 890880 | consumed tokens: 1824522240 | elapsed time per iteration (s): 0.76 | learning rate: 1.817E-04 | global batch size: 256 | lm loss: 2.664870E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.653 | TFLOPs: 27.65 | 31: iteration 3490/ 16765 | consumed samples: 893440 | consumed tokens: 1829765120 | elapsed time per iteration (s): 0.79 | learning rate: 1.816E-04 | global batch size: 256 | lm loss: 2.635441E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.352 | TFLOPs: 26.64 | 31: iteration 3500/ 16765 | consumed samples: 896000 | consumed tokens: 1835008000 | elapsed time per iteration (s): 0.80 | learning rate: 1.815E-04 | global batch size: 256 | lm loss: 2.633446E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.183 | TFLOPs: 26.54 | 31: iteration 3510/ 16765 | consumed samples: 898560 | consumed tokens: 1840250880 | elapsed time per iteration (s): 0.74 | learning rate: 1.814E-04 | global batch size: 256 | lm loss: 2.648091E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.064 | TFLOPs: 28.59 | 31: iteration 3520/ 16765 | consumed samples: 901120 | consumed tokens: 1845493760 | elapsed time per iteration (s): 0.73 | learning rate: 1.813E-04 | global batch size: 256 | lm loss: 2.626344E+00 | grad norm: 0.186 | num zeros: 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2.638753E+00 | grad norm: 0.218 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.938 | TFLOPs: 27.92 | 31: iteration 3560/ 16765 | consumed samples: 911360 | consumed tokens: 1866465280 | elapsed time per iteration (s): 0.76 | learning rate: 1.808E-04 | global batch size: 256 | lm loss: 2.664439E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.680 | TFLOPs: 27.74 | 31: iteration 3570/ 16765 | consumed samples: 913920 | consumed tokens: 1871708160 | elapsed time per iteration (s): 0.75 | learning rate: 1.807E-04 | global batch size: 256 | lm loss: 2.648147E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.416 | TFLOPs: 28.29 | 31: iteration 3580/ 16765 | consumed samples: 916480 | consumed tokens: 1876951040 | elapsed time per iteration (s): 0.75 | learning rate: 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iteration (s): 0.81 | learning rate: 1.803E-04 | global batch size: 256 | lm loss: 2.652019E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.420 | TFLOPs: 26.06 | 31: iteration 3620/ 16765 | consumed samples: 926720 | consumed tokens: 1897922560 | elapsed time per iteration (s): 0.74 | learning rate: 1.802E-04 | global batch size: 256 | lm loss: 2.617110E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.778 | TFLOPs: 28.65 | 31: iteration 3630/ 16765 | consumed samples: 929280 | consumed tokens: 1903165440 | elapsed time per iteration (s): 0.76 | learning rate: 1.801E-04 | global batch size: 256 | lm loss: 2.649177E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.233 | TFLOPs: 27.95 | 31: iteration 3640/ 16765 | consumed samples: 931840 | consumed tokens: 1908408320 | elapsed time per iteration (s): 0.78 | learning rate: 1.800E-04 | global batch size: 256 | lm loss: 2.659538E+00 | grad norm: 0.213 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.739 | TFLOPs: 27.00 | 31: iteration 3650/ 16765 | consumed samples: 934400 | consumed tokens: 1913651200 | elapsed time per iteration (s): 0.75 | learning rate: 1.799E-04 | global batch size: 256 | lm loss: 2.618168E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.853 | TFLOPs: 28.33 | 31: iteration 3660/ 16765 | consumed samples: 936960 | consumed tokens: 1918894080 | elapsed time per iteration (s): 0.77 | learning rate: 1.798E-04 | global batch size: 256 | lm loss: 2.621091E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.785 | TFLOPs: 27.58 | 31: iteration 3670/ 16765 | consumed samples: 939520 | consumed tokens: 1924136960 | elapsed time per iteration (s): 0.74 | learning rate: 1.797E-04 | global batch size: 256 | lm loss: 2.629119E+00 | grad norm: 3.011 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.198 | TFLOPs: 28.44 | 31: iteration 3680/ 16765 | consumed samples: 942080 | consumed tokens: 1929379840 | elapsed time per iteration (s): 0.82 | learning rate: 1.796E-04 | global batch size: 256 | lm loss: 3.210888E+00 | grad norm: 7.004 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.881 | TFLOPs: 25.69 | 31: iteration 3690/ 16765 | consumed samples: 944640 | consumed tokens: 1934622720 | elapsed time per iteration (s): 0.78 | learning rate: 1.795E-04 | global batch size: 256 | lm loss: 3.325034E+00 | grad norm: 1.242 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.963 | TFLOPs: 27.02 | 31: iteration 3700/ 16765 | consumed samples: 947200 | consumed tokens: 1939865600 | elapsed time per iteration (s): 0.76 | learning rate: 1.794E-04 | global batch size: 256 | lm loss: 3.029904E+00 | grad norm: 0.739 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.237 | TFLOPs: 27.87 | 31: iteration 3710/ 16765 | consumed samples: 949760 | consumed tokens: 1945108480 | elapsed time per iteration (s): 0.78 | learning rate: 1.793E-04 | global batch size: 256 | lm loss: 2.888965E+00 | grad norm: 1.015 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.570 | TFLOPs: 27.23 | 31: iteration 3720/ 16765 | consumed samples: 952320 | consumed tokens: 1950351360 | elapsed time per iteration (s): 0.87 | learning rate: 1.791E-04 | global batch size: 256 | lm loss: 2.812696E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 295.241 | TFLOPs: 24.40 | 31: iteration 3730/ 16765 | consumed samples: 954880 | consumed tokens: 1955594240 | elapsed time per iteration (s): 0.81 | learning rate: 1.790E-04 | global batch size: 256 | lm loss: 2.733987E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.134 | TFLOPs: 26.20 | 31: iteration 3740/ 16765 | consumed samples: 957440 | consumed tokens: 1960837120 | elapsed time per iteration (s): 0.77 | learning rate: 1.789E-04 | global batch size: 256 | lm loss: 2.685032E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.288 | TFLOPs: 27.62 | 31: iteration 3750/ 16765 | consumed samples: 960000 | consumed tokens: 1966080000 | elapsed time per iteration (s): 0.78 | learning rate: 1.788E-04 | global batch size: 256 | lm loss: 2.700394E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.741 | TFLOPs: 27.00 | 31: iteration 3760/ 16765 | consumed samples: 962560 | consumed tokens: 1971322880 | elapsed time per iteration (s): 0.73 | learning rate: 1.787E-04 | global batch size: 256 | lm loss: 2.641627E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.145 | TFLOPs: 28.93 | 31: iteration 3770/ 16765 | consumed samples: 965120 | consumed tokens: 1976565760 | elapsed time per iteration (s): 0.80 | learning rate: 1.786E-04 | global batch size: 256 | lm loss: 2.663464E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.365 | TFLOPs: 26.55 | 31: iteration 3780/ 16765 | consumed samples: 967680 | consumed tokens: 1981808640 | elapsed time per iteration (s): 0.77 | learning rate: 1.785E-04 | global batch size: 256 | lm loss: 2.654042E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.435 | TFLOPs: 27.39 | 31: iteration 3790/ 16765 | consumed samples: 970240 | consumed tokens: 1987051520 | elapsed time per iteration (s): 0.76 | learning rate: 1.784E-04 | global batch size: 256 | lm loss: 2.660649E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.479 | TFLOPs: 27.72 | 31: iteration 3800/ 16765 | consumed samples: 972800 | consumed tokens: 1992294400 | elapsed time per iteration (s): 0.78 | learning rate: 1.783E-04 | global batch size: 256 | lm loss: 2.657574E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.854 | TFLOPs: 27.01 | 31: iteration 3810/ 16765 | consumed samples: 975360 | consumed tokens: 1997537280 | elapsed time per iteration (s): 0.78 | learning rate: 1.782E-04 | global batch size: 256 | lm loss: 2.642919E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.010 | TFLOPs: 27.10 | 31: iteration 3820/ 16765 | consumed samples: 977920 | consumed tokens: 2002780160 | elapsed time per iteration (s): 0.79 | learning rate: 1.781E-04 | global batch size: 256 | lm loss: 2.655292E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.925 | TFLOPs: 26.68 | 31: iteration 3830/ 16765 | consumed samples: 980480 | consumed tokens: 2008023040 | elapsed time per iteration (s): 0.80 | learning rate: 1.779E-04 | global batch size: 256 | lm loss: 2.667781E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.519 | TFLOPs: 26.48 | 31: iteration 3840/ 16765 | consumed samples: 983040 | consumed tokens: 2013265920 | elapsed time per iteration (s): 0.76 | learning rate: 1.778E-04 | global batch size: 256 | lm loss: 2.632709E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.188 | TFLOPs: 27.86 | 31: iteration 3850/ 16765 | consumed samples: 985600 | consumed tokens: 2018508800 | elapsed time per iteration (s): 0.82 | learning rate: 1.777E-04 | global batch size: 256 | lm loss: 2.606529E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.514 | TFLOPs: 25.74 | 31: iteration 3860/ 16765 | consumed samples: 988160 | consumed tokens: 2023751680 | elapsed time per iteration (s): 0.77 | learning rate: 1.776E-04 | global batch size: 256 | lm loss: 2.623605E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.180 | TFLOPs: 27.45 | 31: iteration 3870/ 16765 | consumed samples: 990720 | consumed tokens: 2028994560 | elapsed time per iteration (s): 0.78 | learning rate: 1.775E-04 | global batch size: 256 | lm loss: 2.592676E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.257 | TFLOPs: 27.12 | 31: iteration 3880/ 16765 | consumed samples: 993280 | consumed tokens: 2034237440 | elapsed time per iteration (s): 0.76 | learning rate: 1.774E-04 | global batch size: 256 | lm loss: 2.642963E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.962 | TFLOPs: 27.84 | 31: iteration 3890/ 16765 | consumed samples: 995840 | consumed tokens: 2039480320 | elapsed time per iteration (s): 0.77 | learning rate: 1.773E-04 | global batch size: 256 | lm loss: 2.652530E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.726 | TFLOPs: 27.41 | 31: iteration 3900/ 16765 | consumed samples: 998400 | consumed tokens: 2044723200 | elapsed time per iteration (s): 0.75 | learning rate: 1.772E-04 | global batch size: 256 | lm loss: 2.616048E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.767 | TFLOPs: 28.24 | 31: iteration 3910/ 16765 | consumed samples: 1000960 | consumed tokens: 2049966080 | elapsed time per iteration (s): 0.78 | learning rate: 1.771E-04 | global batch size: 256 | lm loss: 2.629389E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.745 | TFLOPs: 27.25 | 31: iteration 3920/ 16765 | consumed samples: 1003520 | consumed tokens: 2055208960 | elapsed time per iteration (s): 0.73 | learning rate: 1.769E-04 | global batch size: 256 | lm loss: 2.604433E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.201 | TFLOPs: 28.85 | 31: iteration 3930/ 16765 | consumed samples: 1006080 | consumed tokens: 2060451840 | elapsed time per iteration (s): 0.74 | learning rate: 1.768E-04 | global batch size: 256 | lm loss: 2.647574E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.633 | TFLOPs: 28.64 | 31: iteration 3940/ 16765 | consumed samples: 1008640 | consumed tokens: 2065694720 | elapsed time per iteration (s): 0.73 | learning rate: 1.767E-04 | global batch size: 256 | lm loss: 2.584624E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.864 | TFLOPs: 28.83 | 31: iteration 3950/ 16765 | consumed samples: 1011200 | consumed tokens: 2070937600 | elapsed time per iteration (s): 0.77 | learning rate: 1.766E-04 | global batch size: 256 | lm loss: 2.608821E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.654 | TFLOPs: 27.32 | 31: iteration 3960/ 16765 | consumed samples: 1013760 | consumed tokens: 2076180480 | elapsed time per iteration (s): 0.75 | learning rate: 1.765E-04 | global batch size: 256 | lm loss: 2.581806E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.827 | TFLOPs: 28.08 | 31: iteration 3970/ 16765 | consumed samples: 1016320 | consumed tokens: 2081423360 | elapsed time per iteration (s): 0.76 | learning rate: 1.764E-04 | global batch size: 256 | lm loss: 2.641093E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.086 | TFLOPs: 27.85 | 31: iteration 3980/ 16765 | consumed samples: 1018880 | consumed tokens: 2086666240 | elapsed time per iteration (s): 0.77 | learning rate: 1.763E-04 | global batch size: 256 | lm loss: 2.617418E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.990 | TFLOPs: 27.51 | 31: iteration 3990/ 16765 | consumed samples: 1021440 | consumed tokens: 2091909120 | elapsed time per iteration (s): 0.76 | learning rate: 1.761E-04 | global batch size: 256 | lm loss: 2.632235E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.828 | TFLOPs: 27.67 | 0: [2022-11-28 14:00:57,395] [INFO] [logging.py:68:log_dist] [Rank 0] step=4000, skipped=0, lr=[0.00017602725400775674, 0.00017602725400775674, 0.00017602725400775674], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 4000/ 16765 | consumed samples: 1024000 | consumed tokens: 2097152000 | elapsed time per iteration (s): 0.74 | learning rate: 1.760E-04 | global batch size: 256 | lm loss: 2.588843E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.718 | TFLOPs: 28.40 | 0: steps: 4000 loss: 2.5516 iter time (s): 0.761 samples/sec: 336.194 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 4000 | lm loss value: 2.683297E+00 | lm loss PPL: 1.463326E+01 | 31: ------------------------------------------------------------------------------------------ 31: iteration 4010/ 16765 | consumed samples: 1026560 | consumed tokens: 2102394880 | elapsed time per iteration (s): 0.80 | learning rate: 1.759E-04 | global batch size: 256 | lm loss: 2.597441E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.208 | TFLOPs: 26.38 | 31: iteration 4020/ 16765 | consumed samples: 1029120 | consumed tokens: 2107637760 | elapsed time per iteration (s): 0.78 | learning rate: 1.758E-04 | global batch size: 256 | lm loss: 2.628833E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.760 | TFLOPs: 27.00 | 31: iteration 4030/ 16765 | consumed samples: 1031680 | consumed tokens: 2112880640 | elapsed time per iteration (s): 0.78 | learning rate: 1.757E-04 | global batch size: 256 | lm loss: 2.596517E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.611 | TFLOPs: 27.24 | 31: iteration 4040/ 16765 | consumed samples: 1034240 | consumed tokens: 2118123520 | elapsed time per iteration (s): 0.73 | learning rate: 1.756E-04 | global batch size: 256 | lm loss: 2.570499E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.001 | TFLOPs: 29.09 | 31: iteration 4050/ 16765 | consumed samples: 1036800 | consumed tokens: 2123366400 | elapsed time per iteration (s): 0.75 | learning rate: 1.755E-04 | global batch size: 256 | lm loss: 2.579986E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.223 | TFLOPs: 28.03 | 31: iteration 4060/ 16765 | consumed samples: 1039360 | consumed tokens: 2128609280 | elapsed time per iteration (s): 0.74 | learning rate: 1.753E-04 | global batch size: 256 | lm loss: 2.618241E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.671 | TFLOPs: 28.48 | 31: iteration 4070/ 16765 | consumed samples: 1041920 | consumed tokens: 2133852160 | elapsed time per iteration (s): 0.76 | learning rate: 1.752E-04 | global batch size: 256 | lm loss: 2.627222E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.780 | TFLOPs: 27.91 | 31: iteration 4080/ 16765 | consumed samples: 1044480 | consumed tokens: 2139095040 | elapsed time per iteration (s): 0.72 | learning rate: 1.751E-04 | global batch size: 256 | lm loss: 2.595734E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.737 | TFLOPs: 29.31 | 31: iteration 4090/ 16765 | consumed samples: 1047040 | consumed tokens: 2144337920 | elapsed time per iteration (s): 0.74 | learning rate: 1.750E-04 | global batch size: 256 | lm loss: 2.604788E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.718 | TFLOPs: 28.73 | 31: iteration 4100/ 16765 | consumed samples: 1049600 | consumed tokens: 2149580800 | elapsed time per iteration (s): 0.72 | learning rate: 1.749E-04 | global batch size: 256 | lm loss: 2.596317E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.330 | TFLOPs: 29.36 | 31: iteration 4110/ 16765 | consumed samples: 1052160 | consumed tokens: 2154823680 | elapsed time per iteration (s): 0.79 | learning rate: 1.748E-04 | global batch size: 256 | lm loss: 2.562427E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.706 | TFLOPs: 26.75 | 31: iteration 4120/ 16765 | consumed samples: 1054720 | consumed tokens: 2160066560 | elapsed time per iteration (s): 0.79 | learning rate: 1.746E-04 | global batch size: 256 | lm loss: 2.556212E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.218 | TFLOPs: 26.79 | 31: iteration 4130/ 16765 | consumed samples: 1057280 | consumed tokens: 2165309440 | elapsed time per iteration (s): 0.80 | learning rate: 1.745E-04 | global batch size: 256 | lm loss: 2.562201E+00 | grad norm: 0.201 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.390 | TFLOPs: 26.56 | 31: iteration 4140/ 16765 | consumed samples: 1059840 | consumed tokens: 2170552320 | elapsed time per iteration (s): 0.78 | learning rate: 1.744E-04 | global batch size: 256 | lm loss: 2.578605E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.411 | TFLOPs: 26.97 | 31: iteration 4150/ 16765 | consumed samples: 1062400 | consumed tokens: 2175795200 | elapsed time per iteration (s): 0.78 | learning rate: 1.743E-04 | global batch size: 256 | lm loss: 2.590301E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.167 | TFLOPs: 27.12 | 31: iteration 4160/ 16765 | consumed samples: 1064960 | consumed tokens: 2181038080 | elapsed time per iteration (s): 0.79 | learning rate: 1.742E-04 | global batch size: 256 | lm loss: 2.589716E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.140 | TFLOPs: 26.78 | 31: iteration 4170/ 16765 | consumed samples: 1067520 | consumed tokens: 2186280960 | elapsed time per iteration (s): 0.81 | learning rate: 1.740E-04 | global batch size: 256 | lm loss: 2.564845E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.242 | TFLOPs: 26.05 | 31: iteration 4180/ 16765 | consumed samples: 1070080 | consumed tokens: 2191523840 | elapsed time per iteration (s): 0.81 | learning rate: 1.739E-04 | global batch size: 256 | lm loss: 2.584227E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.442 | TFLOPs: 26.23 | 31: iteration 4190/ 16765 | consumed samples: 1072640 | consumed tokens: 2196766720 | elapsed time per iteration (s): 0.75 | learning rate: 1.738E-04 | global batch size: 256 | lm loss: 2.551071E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.216 | TFLOPs: 28.11 | 31: iteration 4200/ 16765 | consumed samples: 1075200 | consumed tokens: 2202009600 | elapsed time per iteration (s): 0.77 | learning rate: 1.737E-04 | global batch size: 256 | lm loss: 2.586506E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.451 | TFLOPs: 27.39 | 31: iteration 4210/ 16765 | consumed samples: 1077760 | consumed tokens: 2207252480 | elapsed time per iteration (s): 0.78 | learning rate: 1.736E-04 | global batch size: 256 | lm loss: 2.582369E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.462 | TFLOPs: 27.22 | 31: iteration 4220/ 16765 | consumed samples: 1080320 | consumed tokens: 2212495360 | elapsed time per iteration (s): 0.78 | learning rate: 1.734E-04 | global batch size: 256 | lm loss: 2.600016E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.938 | TFLOPs: 27.26 | 31: iteration 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316.070 | TFLOPs: 26.12 | 31: iteration 4260/ 16765 | consumed samples: 1090560 | consumed tokens: 2233466880 | elapsed time per iteration (s): 0.82 | learning rate: 1.730E-04 | global batch size: 256 | lm loss: 2.583816E+00 | grad norm: 0.208 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.966 | TFLOPs: 25.86 | 31: iteration 4270/ 16765 | consumed samples: 1093120 | consumed tokens: 2238709760 | elapsed time per iteration (s): 0.80 | learning rate: 1.728E-04 | global batch size: 256 | lm loss: 2.542882E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.167 | TFLOPs: 26.37 | 31: iteration 4280/ 16765 | consumed samples: 1095680 | consumed tokens: 2243952640 | elapsed time per iteration (s): 0.78 | learning rate: 1.727E-04 | global batch size: 256 | lm loss: 2.579513E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.896 | TFLOPs: 27.01 | 31: iteration 4290/ 16765 | consumed samples: 1098240 | consumed tokens: 2249195520 | elapsed time per iteration (s): 0.79 | learning rate: 1.726E-04 | global batch size: 256 | lm loss: 2.562509E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.743 | TFLOPs: 26.67 | 31: iteration 4300/ 16765 | consumed samples: 1100800 | consumed tokens: 2254438400 | elapsed time per iteration (s): 0.78 | learning rate: 1.725E-04 | global batch size: 256 | lm loss: 2.578960E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.541 | TFLOPs: 27.06 | 31: iteration 4310/ 16765 | consumed samples: 1103360 | consumed tokens: 2259681280 | elapsed time per iteration (s): 0.76 | learning rate: 1.724E-04 | global batch size: 256 | lm loss: 2.568123E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.728 | TFLOPs: 27.82 | 31: iteration 4320/ 16765 | consumed samples: 1105920 | consumed tokens: 2264924160 | elapsed time per iteration (s): 0.80 | learning rate: 1.722E-04 | global batch size: 256 | lm loss: 2.565864E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.500 | TFLOPs: 26.57 | 31: iteration 4330/ 16765 | consumed samples: 1108480 | consumed tokens: 2270167040 | elapsed time per iteration (s): 0.77 | learning rate: 1.721E-04 | global batch size: 256 | lm loss: 2.541236E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.372 | TFLOPs: 27.30 | 31: iteration 4340/ 16765 | consumed samples: 1111040 | consumed tokens: 2275409920 | elapsed time per iteration (s): 0.73 | learning rate: 1.720E-04 | global batch size: 256 | lm loss: 2.601503E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.315 | TFLOPs: 29.03 | 31: iteration 4350/ 16765 | consumed samples: 1113600 | consumed tokens: 2280652800 | elapsed time per iteration (s): 0.76 | learning rate: 1.719E-04 | global batch size: 256 | lm loss: 2.571757E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.191 | TFLOPs: 27.70 | 31: iteration 4360/ 16765 | consumed samples: 1116160 | consumed tokens: 2285895680 | elapsed time per iteration (s): 0.79 | learning rate: 1.718E-04 | global batch size: 256 | lm loss: 2.565109E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.945 | TFLOPs: 26.93 | 31: iteration 4370/ 16765 | consumed samples: 1118720 | consumed tokens: 2291138560 | elapsed time per iteration (s): 0.78 | learning rate: 1.716E-04 | global batch size: 256 | lm loss: 2.598784E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.235 | TFLOPs: 27.20 | 31: iteration 4380/ 16765 | consumed samples: 1121280 | consumed tokens: 2296381440 | elapsed time per iteration (s): 0.77 | learning rate: 1.715E-04 | global batch size: 256 | lm loss: 2.562113E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.144 | TFLOPs: 27.61 | 31: iteration 4390/ 16765 | consumed samples: 1123840 | consumed tokens: 2301624320 | elapsed time per iteration (s): 0.77 | learning rate: 1.714E-04 | global batch size: 256 | lm loss: 2.593362E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.744 | TFLOPs: 27.58 | 31: iteration 4400/ 16765 | consumed samples: 1126400 | consumed tokens: 2306867200 | elapsed time per iteration (s): 0.79 | learning rate: 1.713E-04 | global batch size: 256 | lm loss: 2.571681E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.695 | TFLOPs: 26.66 | 31: iteration 4410/ 16765 | consumed samples: 1128960 | consumed tokens: 2312110080 | elapsed time per iteration (s): 0.80 | learning rate: 1.711E-04 | global batch size: 256 | lm loss: 2.547303E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.540 | TFLOPs: 26.40 | 31: iteration 4420/ 16765 | consumed samples: 1131520 | consumed tokens: 2317352960 | elapsed time per iteration (s): 0.81 | learning rate: 1.710E-04 | global batch size: 256 | lm loss: 2.558006E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.268 | TFLOPs: 25.97 | 31: iteration 4430/ 16765 | consumed samples: 1134080 | consumed tokens: 2322595840 | elapsed time per iteration (s): 0.77 | learning rate: 1.709E-04 | global batch size: 256 | lm loss: 2.533748E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.655 | TFLOPs: 27.57 | 31: iteration 4440/ 16765 | consumed samples: 1136640 | consumed tokens: 2327838720 | elapsed time per iteration (s): 0.73 | learning rate: 1.708E-04 | global batch size: 256 | lm loss: 2.569774E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.310 | TFLOPs: 28.86 | 31: iteration 4450/ 16765 | consumed samples: 1139200 | consumed tokens: 2333081600 | elapsed time per iteration (s): 0.73 | learning rate: 1.706E-04 | global batch size: 256 | lm loss: 2.572513E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.747 | TFLOPs: 29.06 | 31: iteration 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337.764 | TFLOPs: 27.91 | 31: iteration 4490/ 16765 | consumed samples: 1149440 | consumed tokens: 2354053120 | elapsed time per iteration (s): 0.76 | learning rate: 1.701E-04 | global batch size: 256 | lm loss: 2.521819E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.129 | TFLOPs: 27.94 | 31: iteration 4500/ 16765 | consumed samples: 1152000 | consumed tokens: 2359296000 | elapsed time per iteration (s): 0.74 | learning rate: 1.700E-04 | global batch size: 256 | lm loss: 2.554105E+00 | grad norm: 0.211 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.755 | TFLOPs: 28.73 | 31: iteration 4510/ 16765 | consumed samples: 1154560 | consumed tokens: 2364538880 | elapsed time per iteration (s): 0.73 | learning rate: 1.699E-04 | global batch size: 256 | lm loss: 2.536336E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.713 | TFLOPs: 29.14 | 31: iteration 4520/ 16765 | consumed samples: 1157120 | consumed tokens: 2369781760 | elapsed time per iteration (s): 0.74 | learning rate: 1.698E-04 | global batch size: 256 | lm loss: 2.558268E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.775 | TFLOPs: 28.74 | 31: iteration 4530/ 16765 | consumed samples: 1159680 | consumed tokens: 2375024640 | elapsed time per iteration (s): 0.73 | learning rate: 1.696E-04 | global batch size: 256 | lm loss: 2.582254E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.936 | TFLOPs: 28.83 | 31: iteration 4540/ 16765 | consumed samples: 1162240 | consumed tokens: 2380267520 | elapsed time per iteration (s): 0.74 | learning rate: 1.695E-04 | global batch size: 256 | lm loss: 2.561960E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.062 | TFLOPs: 28.68 | 31: iteration 4550/ 16765 | consumed samples: 1164800 | consumed tokens: 2385510400 | elapsed time per iteration (s): 0.76 | learning rate: 1.694E-04 | global batch size: 256 | lm loss: 2.536021E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.782 | TFLOPs: 27.99 | 31: iteration 4560/ 16765 | consumed samples: 1167360 | consumed tokens: 2390753280 | elapsed time per iteration (s): 0.72 | learning rate: 1.693E-04 | global batch size: 256 | lm loss: 2.551708E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.602 | TFLOPs: 29.22 | 31: iteration 4570/ 16765 | consumed samples: 1169920 | consumed tokens: 2395996160 | elapsed time per iteration (s): 0.74 | learning rate: 1.691E-04 | global batch size: 256 | lm loss: 2.538764E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.027 | TFLOPs: 28.43 | 31: iteration 4580/ 16765 | consumed samples: 1172480 | consumed tokens: 2401239040 | elapsed time per iteration (s): 0.77 | learning rate: 1.690E-04 | global batch size: 256 | lm loss: 2.557181E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.343 | TFLOPs: 27.30 | 31: iteration 4590/ 16765 | consumed samples: 1175040 | consumed tokens: 2406481920 | elapsed time per iteration (s): 0.74 | learning rate: 1.689E-04 | global batch size: 256 | lm loss: 2.512376E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.668 | TFLOPs: 28.64 | 31: iteration 4600/ 16765 | consumed samples: 1177600 | consumed tokens: 2411724800 | elapsed time per iteration (s): 0.73 | learning rate: 1.687E-04 | global batch size: 256 | lm loss: 2.576194E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.346 | TFLOPs: 29.03 | 31: iteration 4610/ 16765 | consumed samples: 1180160 | consumed tokens: 2416967680 | elapsed time per iteration (s): 0.78 | learning rate: 1.686E-04 | global batch size: 256 | lm loss: 2.545001E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.772 | TFLOPs: 27.17 | 31: iteration 4620/ 16765 | consumed samples: 1182720 | consumed tokens: 2422210560 | elapsed time per iteration (s): 0.74 | learning rate: 1.685E-04 | global batch size: 256 | lm loss: 2.551589E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.897 | TFLOPs: 28.58 | 31: iteration 4630/ 16765 | consumed samples: 1185280 | consumed tokens: 2427453440 | elapsed time per iteration (s): 0.78 | learning rate: 1.684E-04 | global batch size: 256 | lm loss: 2.567451E+00 | grad norm: 0.219 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.405 | TFLOPs: 27.14 | 31: iteration 4640/ 16765 | consumed samples: 1187840 | consumed tokens: 2432696320 | elapsed time per iteration (s): 0.74 | learning rate: 1.682E-04 | global batch size: 256 | lm loss: 2.578691E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.514 | TFLOPs: 28.63 | 31: iteration 4650/ 16765 | consumed samples: 1190400 | consumed tokens: 2437939200 | elapsed time per iteration (s): 0.80 | learning rate: 1.681E-04 | global batch size: 256 | lm loss: 2.537250E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.349 | TFLOPs: 26.55 | 31: iteration 4660/ 16765 | consumed samples: 1192960 | consumed tokens: 2443182080 | elapsed time per iteration (s): 0.75 | learning rate: 1.680E-04 | global batch size: 256 | lm loss: 2.535618E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.810 | TFLOPs: 28.24 | 31: iteration 4670/ 16765 | consumed samples: 1195520 | consumed tokens: 2448424960 | elapsed time per iteration (s): 0.74 | learning rate: 1.678E-04 | global batch size: 256 | lm loss: 2.518597E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.706 | TFLOPs: 28.73 | 31: iteration 4680/ 16765 | consumed samples: 1198080 | consumed tokens: 2453667840 | elapsed time per iteration (s): 0.81 | learning rate: 1.677E-04 | global batch size: 256 | lm loss: 2.534370E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.242 | TFLOPs: 25.97 | 31: iteration 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358.908 | TFLOPs: 29.66 | 31: iteration 4720/ 16765 | consumed samples: 1208320 | consumed tokens: 2474639360 | elapsed time per iteration (s): 0.73 | learning rate: 1.672E-04 | global batch size: 256 | lm loss: 2.538920E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.658 | TFLOPs: 28.89 | 31: iteration 4730/ 16765 | consumed samples: 1210880 | consumed tokens: 2479882240 | elapsed time per iteration (s): 0.73 | learning rate: 1.671E-04 | global batch size: 256 | lm loss: 2.512847E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.509 | TFLOPs: 28.88 | 31: iteration 4740/ 16765 | consumed samples: 1213440 | consumed tokens: 2485125120 | elapsed time per iteration (s): 0.74 | learning rate: 1.669E-04 | global batch size: 256 | lm loss: 2.536079E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.170 | TFLOPs: 28.77 | 31: iteration 4750/ 16765 | consumed samples: 1216000 | consumed tokens: 2490368000 | elapsed time per iteration (s): 0.74 | learning rate: 1.668E-04 | global batch size: 256 | lm loss: 2.528958E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.211 | TFLOPs: 28.69 | 31: iteration 4760/ 16765 | consumed samples: 1218560 | consumed tokens: 2495610880 | elapsed time per iteration (s): 0.73 | learning rate: 1.667E-04 | global batch size: 256 | lm loss: 2.535253E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.771 | TFLOPs: 29.15 | 31: iteration 4770/ 16765 | consumed samples: 1221120 | consumed tokens: 2500853760 | elapsed time per iteration (s): 0.76 | learning rate: 1.665E-04 | global batch size: 256 | lm loss: 2.562290E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.532 | TFLOPs: 27.72 | 31: iteration 4780/ 16765 | consumed samples: 1223680 | consumed tokens: 2506096640 | elapsed time per iteration (s): 0.80 | learning rate: 1.664E-04 | global batch size: 256 | lm loss: 2.517531E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.014 | TFLOPs: 26.44 | 31: iteration 4790/ 16765 | consumed samples: 1226240 | consumed tokens: 2511339520 | elapsed time per iteration (s): 0.78 | learning rate: 1.663E-04 | global batch size: 256 | lm loss: 2.541062E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.530 | TFLOPs: 26.98 | 31: iteration 4800/ 16765 | consumed samples: 1228800 | consumed tokens: 2516582400 | elapsed time per iteration (s): 0.83 | learning rate: 1.661E-04 | global batch size: 256 | lm loss: 2.555684E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 306.738 | TFLOPs: 25.35 | 31: iteration 4810/ 16765 | consumed samples: 1231360 | consumed tokens: 2521825280 | elapsed time per iteration (s): 0.78 | learning rate: 1.660E-04 | global batch size: 256 | lm loss: 2.539877E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.678 | TFLOPs: 27.16 | 31: iteration 4820/ 16765 | consumed samples: 1233920 | consumed tokens: 2527068160 | elapsed time per iteration (s): 0.77 | learning rate: 1.659E-04 | global batch size: 256 | lm loss: 2.525154E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.968 | TFLOPs: 27.43 | 31: iteration 4830/ 16765 | consumed samples: 1236480 | consumed tokens: 2532311040 | elapsed time per iteration (s): 0.76 | learning rate: 1.657E-04 | global batch size: 256 | lm loss: 2.513752E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.056 | TFLOPs: 27.85 | 31: iteration 4840/ 16765 | consumed samples: 1239040 | consumed tokens: 2537553920 | elapsed time per iteration (s): 0.77 | learning rate: 1.656E-04 | global batch size: 256 | lm loss: 2.490272E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.104 | TFLOPs: 27.52 | 31: iteration 4850/ 16765 | consumed samples: 1241600 | consumed tokens: 2542796800 | elapsed time per iteration (s): 0.77 | learning rate: 1.655E-04 | global batch size: 256 | lm loss: 2.524984E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.503 | TFLOPs: 27.64 | 31: iteration 4860/ 16765 | consumed samples: 1244160 | consumed tokens: 2548039680 | elapsed time 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consumed tokens: 2563768320 | elapsed time per iteration (s): 0.72 | learning rate: 1.649E-04 | global batch size: 256 | lm loss: 2.535638E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.015 | TFLOPs: 29.58 | 31: iteration 4900/ 16765 | consumed samples: 1254400 | consumed tokens: 2569011200 | elapsed time per iteration (s): 0.78 | learning rate: 1.648E-04 | global batch size: 256 | lm loss: 2.507938E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.098 | TFLOPs: 27.03 | 31: iteration 4910/ 16765 | consumed samples: 1256960 | consumed tokens: 2574254080 | elapsed time per iteration (s): 0.74 | learning rate: 1.647E-04 | global batch size: 256 | lm loss: 2.494911E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.017 | TFLOPs: 28.51 | 31: iteration 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323.088 | TFLOPs: 26.70 | 31: iteration 4950/ 16765 | consumed samples: 1267200 | consumed tokens: 2595225600 | elapsed time per iteration (s): 0.76 | learning rate: 1.641E-04 | global batch size: 256 | lm loss: 2.549490E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.229 | TFLOPs: 27.86 | 31: iteration 4960/ 16765 | consumed samples: 1269760 | consumed tokens: 2600468480 | elapsed time per iteration (s): 0.88 | learning rate: 1.640E-04 | global batch size: 256 | lm loss: 2.519161E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 291.206 | TFLOPs: 24.06 | 31: iteration 4970/ 16765 | consumed samples: 1272320 | consumed tokens: 2605711360 | elapsed time per iteration (s): 0.89 | learning rate: 1.639E-04 | global batch size: 256 | lm loss: 2.515261E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.328 | TFLOPs: 23.74 | 31: iteration 4980/ 16765 | consumed samples: 1274880 | consumed tokens: 2610954240 | elapsed time per iteration (s): 0.75 | learning rate: 1.637E-04 | global batch size: 256 | lm loss: 2.529202E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.496 | TFLOPs: 28.05 | 31: iteration 4990/ 16765 | consumed samples: 1277440 | consumed tokens: 2616197120 | elapsed time per iteration (s): 0.73 | learning rate: 1.636E-04 | global batch size: 256 | lm loss: 2.507096E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.689 | TFLOPs: 28.81 | 31: iteration 5000/ 16765 | consumed samples: 1280000 | consumed tokens: 2621440000 | elapsed time per iteration (s): 0.84 | learning rate: 1.635E-04 | global batch size: 256 | lm loss: 2.501822E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.055 | TFLOPs: 25.04 | 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 5000 | lm loss value: 2.542423E+00 | lm loss PPL: 1.271043E+01 | 31: ------------------------------------------------------------------------------------------ 31: iteration 5010/ 16765 | consumed samples: 1282560 | consumed tokens: 2626682880 | elapsed time per iteration (s): 0.77 | learning rate: 1.633E-04 | global batch size: 256 | lm loss: 2.511902E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.678 | TFLOPs: 27.49 | 31: iteration 5020/ 16765 | consumed samples: 1285120 | consumed tokens: 2631925760 | elapsed time per iteration (s): 0.76 | learning rate: 1.632E-04 | global batch size: 256 | lm loss: 2.491467E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.032 | TFLOPs: 28.01 | 31: iteration 5030/ 16765 | consumed samples: 1287680 | consumed tokens: 2637168640 | elapsed time per iteration (s): 0.73 | learning rate: 1.631E-04 | global batch size: 256 | lm loss: 2.505951E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.783 | TFLOPs: 28.90 | 31: iteration 5040/ 16765 | consumed samples: 1290240 | consumed tokens: 2642411520 | elapsed time per iteration (s): 0.74 | learning rate: 1.629E-04 | global batch size: 256 | lm loss: 2.486082E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.141 | TFLOPs: 28.44 | 31: iteration 5050/ 16765 | consumed samples: 1292800 | consumed tokens: 2647654400 | elapsed time per iteration (s): 0.75 | learning rate: 1.628E-04 | global batch size: 256 | lm loss: 2.481502E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.391 | TFLOPs: 28.37 | 31: iteration 5060/ 16765 | consumed samples: 1295360 | consumed tokens: 2652897280 | elapsed time per iteration (s): 0.78 | learning rate: 1.626E-04 | global batch size: 256 | lm loss: 2.486232E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.187 | TFLOPs: 27.12 | 31: iteration 5070/ 16765 | consumed samples: 1297920 | consumed tokens: 2658140160 | elapsed time per iteration (s): 0.75 | learning rate: 1.625E-04 | global batch size: 256 | lm loss: 2.506030E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.621 | TFLOPs: 28.31 | 31: iteration 5080/ 16765 | consumed samples: 1300480 | consumed tokens: 2663383040 | elapsed time per iteration (s): 0.79 | learning rate: 1.624E-04 | global batch size: 256 | lm loss: 2.529448E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.422 | TFLOPs: 26.81 | 31: iteration 5090/ 16765 | consumed samples: 1303040 | consumed tokens: 2668625920 | elapsed time per iteration (s): 0.82 | learning rate: 1.622E-04 | global batch size: 256 | lm loss: 2.508520E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.005 | TFLOPs: 25.86 | 31: iteration 5100/ 16765 | consumed samples: 1305600 | consumed tokens: 2673868800 | elapsed time per iteration (s): 0.77 | learning rate: 1.621E-04 | global batch size: 256 | lm loss: 2.535784E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.954 | TFLOPs: 27.35 | 31: iteration 5110/ 16765 | consumed samples: 1308160 | consumed tokens: 2679111680 | elapsed time per iteration (s): 0.85 | learning rate: 1.620E-04 | global batch size: 256 | lm loss: 2.513691E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 300.456 | TFLOPs: 24.83 | 31: iteration 5120/ 16765 | consumed samples: 1310720 | consumed tokens: 2684354560 | elapsed time per iteration (s): 0.74 | learning rate: 1.618E-04 | global batch size: 256 | lm loss: 2.522006E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.001 | TFLOPs: 28.59 | 31: iteration 5130/ 16765 | consumed samples: 1313280 | consumed tokens: 2689597440 | elapsed time per iteration (s): 0.77 | learning rate: 1.617E-04 | global batch size: 256 | lm loss: 2.518274E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.978 | TFLOPs: 27.35 | 31: iteration 5140/ 16765 | consumed samples: 1315840 | consumed tokens: 2694840320 | elapsed time per iteration (s): 0.79 | learning rate: 1.615E-04 | global batch size: 256 | lm loss: 2.503449E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.206 | TFLOPs: 26.87 | 31: iteration 5150/ 16765 | consumed samples: 1318400 | consumed tokens: 2700083200 | elapsed time per iteration (s): 0.76 | learning rate: 1.614E-04 | global batch size: 256 | lm loss: 2.517874E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.447 | TFLOPs: 27.80 | 31: iteration 5160/ 16765 | consumed samples: 1320960 | consumed tokens: 2705326080 | elapsed time per iteration (s): 0.77 | learning rate: 1.613E-04 | global batch size: 256 | lm loss: 2.518673E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.488 | TFLOPs: 27.31 | 31: iteration 5170/ 16765 | consumed 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26.40 | 31: iteration 5200/ 16765 | consumed samples: 1331200 | consumed tokens: 2726297600 | elapsed time per iteration (s): 0.75 | learning rate: 1.607E-04 | global batch size: 256 | lm loss: 2.497708E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.023 | TFLOPs: 28.26 | 31: iteration 5210/ 16765 | consumed samples: 1333760 | consumed tokens: 2731540480 | elapsed time per iteration (s): 0.85 | learning rate: 1.606E-04 | global batch size: 256 | lm loss: 2.477809E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 301.390 | TFLOPs: 24.90 | 31: iteration 5220/ 16765 | consumed samples: 1336320 | consumed tokens: 2736783360 | elapsed time per iteration (s): 0.79 | learning rate: 1.604E-04 | global batch size: 256 | lm loss: 2.488220E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.755 | TFLOPs: 26.92 | 31: iteration 5230/ 16765 | consumed samples: 1338880 | consumed tokens: 2742026240 | elapsed time per iteration (s): 0.83 | learning rate: 1.603E-04 | global batch size: 256 | lm loss: 2.527366E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.166 | TFLOPs: 25.63 | 31: iteration 5240/ 16765 | consumed samples: 1341440 | consumed tokens: 2747269120 | elapsed time per iteration (s): 0.75 | learning rate: 1.602E-04 | global batch size: 256 | lm loss: 2.485368E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.871 | TFLOPs: 28.33 | 31: iteration 5250/ 16765 | consumed samples: 1344000 | consumed tokens: 2752512000 | elapsed time per iteration (s): 0.75 | learning rate: 1.600E-04 | global batch size: 256 | lm loss: 2.509294E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.434 | TFLOPs: 28.05 | 31: iteration 5260/ 16765 | consumed samples: 1346560 | consumed tokens: 2757754880 | elapsed time per iteration (s): 0.78 | learning rate: 1.599E-04 | global batch size: 256 | lm loss: 2.522527E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.177 | TFLOPs: 27.28 | 31: iteration 5270/ 16765 | consumed samples: 1349120 | consumed tokens: 2762997760 | elapsed time per iteration (s): 0.77 | learning rate: 1.597E-04 | global batch size: 256 | lm loss: 2.462841E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.285 | TFLOPs: 27.37 | 31: iteration 5280/ 16765 | consumed samples: 1351680 | consumed tokens: 2768240640 | elapsed time per iteration (s): 0.78 | learning rate: 1.596E-04 | global batch size: 256 | lm loss: 2.514864E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.327 | TFLOPs: 26.96 | 31: iteration 5290/ 16765 | consumed samples: 1354240 | consumed tokens: 2773483520 | elapsed time per iteration (s): 0.76 | learning rate: 1.594E-04 | global batch size: 256 | lm loss: 2.480414E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.094 | TFLOPs: 27.85 | 31: iteration 5300/ 16765 | consumed samples: 1356800 | consumed tokens: 2778726400 | elapsed time per iteration (s): 0.75 | learning rate: 1.593E-04 | global batch size: 256 | lm loss: 2.483727E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.683 | TFLOPs: 28.32 | 31: iteration 5310/ 16765 | consumed samples: 1359360 | consumed tokens: 2783969280 | elapsed time per iteration (s): 0.77 | learning rate: 1.592E-04 | global batch size: 256 | lm loss: 2.520444E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.309 | TFLOPs: 27.62 | 31: iteration 5320/ 16765 | consumed samples: 1361920 | consumed tokens: 2789212160 | elapsed time per iteration (s): 0.76 | learning rate: 1.590E-04 | global batch size: 256 | lm loss: 2.492215E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.168 | TFLOPs: 27.94 | 31: iteration 5330/ 16765 | consumed samples: 1364480 | consumed tokens: 2794455040 | elapsed time per iteration (s): 0.76 | learning rate: 1.589E-04 | global batch size: 256 | lm loss: 2.499336E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.228 | TFLOPs: 27.95 | 31: iteration 5340/ 16765 | consumed samples: 1367040 | consumed tokens: 2799697920 | elapsed time per iteration (s): 0.78 | learning rate: 1.587E-04 | global batch size: 256 | lm loss: 2.518345E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.998 | TFLOPs: 27.02 | 31: iteration 5350/ 16765 | consumed samples: 1369600 | consumed tokens: 2804940800 | elapsed time per iteration (s): 0.76 | learning rate: 1.586E-04 | global batch size: 256 | lm loss: 2.470554E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.215 | TFLOPs: 27.70 | 31: iteration 5360/ 16765 | consumed samples: 1372160 | consumed tokens: 2810183680 | elapsed time per iteration (s): 0.79 | learning rate: 1.585E-04 | global batch size: 256 | lm loss: 2.523141E+00 | grad norm: 0.221 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.679 | TFLOPs: 26.91 | 31: iteration 5370/ 16765 | consumed samples: 1374720 | consumed tokens: 2815426560 | elapsed time per iteration (s): 0.80 | learning rate: 1.583E-04 | global batch size: 256 | lm loss: 2.508557E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.921 | TFLOPs: 26.52 | 31: iteration 5380/ 16765 | consumed samples: 1377280 | consumed tokens: 2820669440 | elapsed time per iteration (s): 0.78 | learning rate: 1.582E-04 | global batch size: 256 | lm loss: 2.467141E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.427 | TFLOPs: 27.05 | 31: iteration 5390/ 16765 | consumed samples: 1379840 | consumed tokens: 2825912320 | elapsed time per iteration (s): 0.79 | learning rate: 1.580E-04 | global batch size: 256 | lm loss: 2.502515E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.609 | TFLOPs: 26.74 | 31: iteration 5400/ 16765 | consumed 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28.29 | 31: iteration 5430/ 16765 | consumed samples: 1390080 | consumed tokens: 2846883840 | elapsed time per iteration (s): 0.73 | learning rate: 1.575E-04 | global batch size: 256 | lm loss: 2.508464E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.421 | TFLOPs: 28.79 | 31: iteration 5440/ 16765 | consumed samples: 1392640 | consumed tokens: 2852126720 | elapsed time per iteration (s): 0.73 | learning rate: 1.573E-04 | global batch size: 256 | lm loss: 2.492418E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.892 | TFLOPs: 28.91 | 31: iteration 5450/ 16765 | consumed samples: 1395200 | consumed tokens: 2857369600 | elapsed time per iteration (s): 0.74 | learning rate: 1.572E-04 | global batch size: 256 | lm loss: 2.496695E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.979 | TFLOPs: 28.42 | 31: iteration 5460/ 16765 | consumed samples: 1397760 | consumed tokens: 2862612480 | elapsed time per iteration (s): 0.77 | learning rate: 1.570E-04 | global batch size: 256 | lm loss: 2.514263E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.410 | TFLOPs: 27.47 | 31: iteration 5470/ 16765 | consumed samples: 1400320 | consumed tokens: 2867855360 | elapsed time per iteration (s): 0.79 | learning rate: 1.569E-04 | global batch size: 256 | lm loss: 2.492256E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.943 | TFLOPs: 26.77 | 31: iteration 5480/ 16765 | consumed samples: 1402880 | consumed tokens: 2873098240 | elapsed time per iteration (s): 0.79 | learning rate: 1.567E-04 | global batch size: 256 | lm loss: 2.490015E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.639 | TFLOPs: 26.91 | 31: iteration 5490/ 16765 | consumed samples: 1405440 | consumed tokens: 2878341120 | elapsed time per iteration (s): 0.82 | learning rate: 1.566E-04 | global batch size: 256 | lm loss: 2.462897E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.103 | TFLOPs: 25.95 | 31: iteration 5500/ 16765 | consumed samples: 1408000 | consumed tokens: 2883584000 | elapsed time per iteration (s): 0.76 | learning rate: 1.564E-04 | global batch size: 256 | lm loss: 2.520620E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.090 | TFLOPs: 27.69 | 31: iteration 5510/ 16765 | consumed samples: 1410560 | consumed tokens: 2888826880 | elapsed time per iteration (s): 0.82 | learning rate: 1.563E-04 | global batch size: 256 | lm loss: 2.487222E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.334 | TFLOPs: 25.64 | 31: iteration 5520/ 16765 | consumed samples: 1413120 | consumed tokens: 2894069760 | elapsed time per iteration (s): 0.76 | learning rate: 1.562E-04 | global batch size: 256 | lm loss: 2.517295E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.912 | TFLOPs: 27.92 | 31: iteration 5530/ 16765 | consumed samples: 1415680 | consumed tokens: 2899312640 | elapsed time per iteration (s): 0.75 | learning rate: 1.560E-04 | global batch size: 256 | lm loss: 2.486325E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.448 | TFLOPs: 28.05 | 31: iteration 5540/ 16765 | consumed samples: 1418240 | consumed tokens: 2904555520 | elapsed time per iteration (s): 0.75 | learning rate: 1.559E-04 | global batch size: 256 | lm loss: 2.526766E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.127 | TFLOPs: 28.10 | 31: iteration 5550/ 16765 | consumed samples: 1420800 | consumed tokens: 2909798400 | elapsed time per iteration (s): 0.76 | learning rate: 1.557E-04 | global batch size: 256 | lm loss: 2.492871E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.281 | TFLOPs: 27.95 | 31: iteration 5560/ 16765 | consumed samples: 1423360 | consumed tokens: 2915041280 | elapsed time per iteration (s): 0.74 | learning rate: 1.556E-04 | global batch size: 256 | lm loss: 2.485804E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.184 | TFLOPs: 28.52 | 31: iteration 5570/ 16765 | consumed samples: 1425920 | consumed tokens: 2920284160 | elapsed time per iteration (s): 0.75 | learning rate: 1.554E-04 | global batch size: 256 | lm loss: 2.511415E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.303 | TFLOPs: 28.12 | 31: iteration 5580/ 16765 | consumed samples: 1428480 | consumed tokens: 2925527040 | elapsed time per iteration (s): 0.76 | learning rate: 1.553E-04 | global batch size: 256 | lm loss: 2.473917E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.867 | TFLOPs: 27.67 | 31: iteration 5590/ 16765 | consumed samples: 1431040 | consumed tokens: 2930769920 | elapsed time per iteration (s): 0.81 | learning rate: 1.551E-04 | global batch size: 256 | lm loss: 2.482025E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.527 | TFLOPs: 26.24 | 31: iteration 5600/ 16765 | consumed samples: 1433600 | consumed tokens: 2936012800 | elapsed time per iteration (s): 0.79 | learning rate: 1.550E-04 | global batch size: 256 | lm loss: 2.470081E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.381 | TFLOPs: 26.89 | 31: iteration 5610/ 16765 | consumed samples: 1436160 | consumed tokens: 2941255680 | elapsed time per iteration (s): 0.73 | learning rate: 1.548E-04 | global batch size: 256 | lm loss: 2.522274E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.316 | TFLOPs: 28.95 | 31: iteration 5620/ 16765 | consumed samples: 1438720 | consumed tokens: 2946498560 | elapsed time per iteration (s): 0.78 | learning rate: 1.547E-04 | global batch size: 256 | lm loss: 2.471026E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.811 | TFLOPs: 27.09 | 31: iteration 5630/ 16765 | consumed samples: 1441280 | consumed tokens: 2951741440 | elapsed time per iteration (s): 0.76 | learning rate: 1.546E-04 | global batch size: 256 | lm loss: 2.517792E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.926 | TFLOPs: 27.76 | 31: iteration 5640/ 16765 | consumed samples: 1443840 | consumed tokens: 2956984320 | elapsed time per iteration (s): 0.73 | learning rate: 1.544E-04 | global batch size: 256 | lm loss: 2.440024E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.007 | TFLOPs: 28.84 | 31: iteration 5650/ 16765 | consumed samples: 1446400 | consumed tokens: 2962227200 | elapsed time per iteration (s): 0.78 | learning rate: 1.543E-04 | global batch size: 256 | lm loss: 2.489276E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.462 | TFLOPs: 27.06 | 31: iteration 5660/ 16765 | consumed samples: 1448960 | consumed tokens: 2967470080 | elapsed time per iteration (s): 0.75 | learning rate: 1.541E-04 | global batch size: 256 | lm loss: 2.473352E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.205 | TFLOPs: 28.28 | 31: iteration 5670/ 16765 | consumed samples: 1451520 | consumed tokens: 2972712960 | elapsed time per iteration (s): 0.76 | learning rate: 1.540E-04 | global batch size: 256 | lm loss: 2.506397E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.027 | TFLOPs: 27.68 | 31: iteration 5680/ 16765 | consumed samples: 1454080 | consumed tokens: 2977955840 | elapsed time per iteration (s): 0.76 | learning rate: 1.538E-04 | global batch size: 256 | lm loss: 2.489006E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.741 | TFLOPs: 27.99 | 31: iteration 5690/ 16765 | consumed samples: 1456640 | consumed tokens: 2983198720 | elapsed time per iteration (s): 0.77 | learning rate: 1.537E-04 | global batch size: 256 | lm loss: 2.529607E+00 | grad norm: 0.210 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.091 | TFLOPs: 27.61 | 31: iteration 5700/ 16765 | consumed samples: 1459200 | consumed tokens: 2988441600 | elapsed time per iteration (s): 0.75 | learning rate: 1.535E-04 | global batch size: 256 | lm loss: 2.504785E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.411 | TFLOPs: 28.38 | 31: iteration 5710/ 16765 | consumed samples: 1461760 | consumed tokens: 2993684480 | elapsed time per iteration (s): 0.82 | learning rate: 1.534E-04 | global batch size: 256 | lm loss: 2.475690E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.806 | TFLOPs: 25.85 | 31: iteration 5720/ 16765 | consumed samples: 1464320 | consumed tokens: 2998927360 | elapsed time per iteration (s): 0.78 | learning rate: 1.532E-04 | global batch size: 256 | lm loss: 2.458861E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.841 | TFLOPs: 27.01 | 31: iteration 5730/ 16765 | consumed samples: 1466880 | consumed tokens: 3004170240 | elapsed time per iteration (s): 0.75 | learning rate: 1.531E-04 | global batch size: 256 | lm loss: 2.502890E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.197 | TFLOPs: 28.19 | 31: iteration 5740/ 16765 | consumed samples: 1469440 | consumed tokens: 3009413120 | elapsed time per iteration (s): 0.76 | learning rate: 1.529E-04 | global batch size: 256 | lm loss: 2.474677E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.855 | TFLOPs: 27.67 | 31: iteration 5750/ 16765 | consumed samples: 1472000 | consumed tokens: 3014656000 | elapsed time per iteration (s): 0.74 | learning rate: 1.528E-04 | global batch size: 256 | lm loss: 2.434581E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.116 | TFLOPs: 28.76 | 31: iteration 5760/ 16765 | consumed samples: 1474560 | consumed tokens: 3019898880 | elapsed time per iteration (s): 0.73 | learning rate: 1.526E-04 | global batch size: 256 | lm loss: 2.473174E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.616 | TFLOPs: 28.97 | 31: iteration 5770/ 16765 | consumed samples: 1477120 | consumed tokens: 3025141760 | elapsed time per iteration (s): 0.80 | learning rate: 1.525E-04 | global batch size: 256 | lm loss: 2.464691E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.557 | TFLOPs: 26.40 | 31: iteration 5780/ 16765 | consumed samples: 1479680 | consumed tokens: 3030384640 | elapsed time per iteration (s): 0.74 | learning rate: 1.523E-04 | global batch size: 256 | lm loss: 2.466477E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.926 | TFLOPs: 28.58 | 31: iteration 5790/ 16765 | consumed samples: 1482240 | consumed tokens: 3035627520 | elapsed time per iteration (s): 0.80 | learning rate: 1.522E-04 | global batch size: 256 | lm loss: 2.476212E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.867 | TFLOPs: 26.60 | 31: iteration 5800/ 16765 | consumed samples: 1484800 | consumed tokens: 3040870400 | elapsed time per iteration (s): 0.75 | learning rate: 1.520E-04 | global batch size: 256 | lm loss: 2.496299E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.774 | TFLOPs: 28.32 | 31: iteration 5810/ 16765 | consumed samples: 1487360 | consumed tokens: 3046113280 | elapsed time per iteration (s): 0.72 | learning rate: 1.519E-04 | global batch size: 256 | lm loss: 2.463412E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.521 | TFLOPs: 29.54 | 31: iteration 5820/ 16765 | consumed samples: 1489920 | consumed tokens: 3051356160 | elapsed time per iteration (s): 0.78 | learning rate: 1.517E-04 | global batch size: 256 | lm loss: 2.495937E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.679 | TFLOPs: 26.99 | 31: iteration 5830/ 16765 | consumed samples: 1492480 | consumed tokens: 3056599040 | elapsed time per iteration (s): 0.75 | learning rate: 1.516E-04 | global batch size: 256 | lm loss: 2.462413E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.927 | TFLOPs: 28.09 | 31: iteration 5840/ 16765 | consumed samples: 1495040 | consumed tokens: 3061841920 | elapsed time per iteration (s): 0.74 | learning rate: 1.514E-04 | global batch size: 256 | lm loss: 2.479303E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.184 | TFLOPs: 28.60 | 31: iteration 5850/ 16765 | consumed samples: 1497600 | consumed tokens: 3067084800 | elapsed time per iteration (s): 0.79 | learning rate: 1.513E-04 | global batch size: 256 | lm loss: 2.485316E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.052 | TFLOPs: 26.94 | 31: iteration 5860/ 16765 | consumed samples: 1500160 | consumed tokens: 3072327680 | elapsed time per iteration (s): 0.82 | learning rate: 1.511E-04 | global batch size: 256 | lm loss: 2.476597E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.586 | TFLOPs: 25.75 | 31: iteration 5870/ 16765 | consumed samples: 1502720 | consumed tokens: 3077570560 | elapsed time per iteration (s): 0.75 | learning rate: 1.510E-04 | global batch size: 256 | lm loss: 2.477109E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.046 | TFLOPs: 28.35 | 31: iteration 5880/ 16765 | consumed samples: 1505280 | consumed tokens: 3082813440 | elapsed time per iteration (s): 0.75 | learning rate: 1.508E-04 | global batch size: 256 | lm loss: 2.474057E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.790 | TFLOPs: 28.24 | 31: iteration 5890/ 16765 | consumed samples: 1507840 | consumed tokens: 3088056320 | elapsed time per iteration (s): 0.75 | learning rate: 1.507E-04 | global batch size: 256 | lm loss: 2.436821E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.195 | TFLOPs: 28.36 | 31: iteration 5900/ 16765 | consumed samples: 1510400 | consumed tokens: 3093299200 | elapsed time per iteration (s): 0.77 | learning rate: 1.505E-04 | global batch size: 256 | lm loss: 2.448309E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.087 | TFLOPs: 27.36 | 31: iteration 5910/ 16765 | consumed samples: 1512960 | consumed tokens: 3098542080 | elapsed time per iteration (s): 0.81 | learning rate: 1.504E-04 | global batch size: 256 | lm loss: 2.466237E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.564 | TFLOPs: 26.16 | 31: iteration 5920/ 16765 | consumed samples: 1515520 | consumed tokens: 3103784960 | elapsed time per iteration (s): 0.76 | learning rate: 1.502E-04 | global batch size: 256 | lm loss: 2.485862E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.980 | TFLOPs: 27.68 | 31: iteration 5930/ 16765 | consumed samples: 1518080 | consumed tokens: 3109027840 | elapsed time per iteration (s): 0.77 | learning rate: 1.501E-04 | global batch size: 256 | lm loss: 2.464363E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.220 | TFLOPs: 27.45 | 31: iteration 5940/ 16765 | consumed samples: 1520640 | consumed tokens: 3114270720 | elapsed time per iteration (s): 0.76 | learning rate: 1.499E-04 | global batch size: 256 | lm loss: 2.470550E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.204 | TFLOPs: 27.86 | 31: iteration 5950/ 16765 | consumed samples: 1523200 | consumed tokens: 3119513600 | elapsed time per iteration (s): 0.74 | learning rate: 1.498E-04 | global batch size: 256 | lm loss: 2.477708E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.719 | TFLOPs: 28.48 | 31: iteration 5960/ 16765 | consumed samples: 1525760 | consumed tokens: 3124756480 | elapsed time per iteration (s): 0.83 | learning rate: 1.496E-04 | global batch size: 256 | lm loss: 2.473036E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.726 | TFLOPs: 25.59 | 31: iteration 5970/ 16765 | consumed samples: 1528320 | consumed tokens: 3129999360 | elapsed time per iteration (s): 0.81 | learning rate: 1.495E-04 | global batch size: 256 | lm loss: 2.511845E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.187 | TFLOPs: 26.21 | 31: iteration 5980/ 16765 | consumed samples: 1530880 | consumed tokens: 3135242240 | elapsed time per iteration (s): 0.77 | learning rate: 1.493E-04 | global batch size: 256 | lm loss: 2.473269E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.669 | TFLOPs: 27.41 | 31: iteration 5990/ 16765 | consumed samples: 1533440 | consumed tokens: 3140485120 | elapsed time per iteration (s): 0.81 | learning rate: 1.492E-04 | global batch size: 256 | lm loss: 2.478342E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.173 | TFLOPs: 26.13 | 0: [2022-11-28 14:26:39,176] [INFO] [logging.py:68:log_dist] [Rank 0] step=6000, skipped=0, lr=[0.00014902656778224764, 0.00014902656778224764, 0.00014902656778224764], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 6000/ 16765 | consumed samples: 1536000 | consumed tokens: 3145728000 | elapsed time per iteration (s): 0.89 | learning rate: 1.490E-04 | global batch size: 256 | lm loss: 2.468270E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 287.952 | TFLOPs: 23.79 | 0: steps: 6000 loss: 2.4761 iter time (s): 0.767 samples/sec: 333.759 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 6000 | lm loss value: 2.498992E+00 | lm loss PPL: 1.217022E+01 | 31: ------------------------------------------------------------------------------------------ 31: iteration 6010/ 16765 | consumed samples: 1538560 | consumed tokens: 3150970880 | elapsed time per iteration (s): 0.83 | learning rate: 1.489E-04 | global batch size: 256 | lm loss: 2.489769E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.331 | TFLOPs: 25.56 | 31: iteration 6020/ 16765 | consumed samples: 1541120 | consumed tokens: 3156213760 | elapsed time per iteration (s): 0.76 | learning rate: 1.487E-04 | global batch size: 256 | lm loss: 2.457024E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.402 | TFLOPs: 27.80 | 31: iteration 6030/ 16765 | consumed samples: 1543680 | consumed tokens: 3161456640 | elapsed time per iteration (s): 0.74 | learning rate: 1.486E-04 | global batch size: 256 | lm loss: 2.450041E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.425 | TFLOPs: 28.62 | 31: iteration 6040/ 16765 | consumed samples: 1546240 | consumed tokens: 3166699520 | elapsed time per iteration (s): 0.75 | learning rate: 1.484E-04 | global batch size: 256 | lm loss: 2.493808E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.365 | TFLOPs: 28.04 | 31: iteration 6050/ 16765 | consumed samples: 1548800 | consumed tokens: 3171942400 | elapsed time per iteration (s): 0.78 | learning rate: 1.483E-04 | global batch size: 256 | lm loss: 2.440987E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.552 | TFLOPs: 27.07 | 31: iteration 6060/ 16765 | consumed samples: 1551360 | consumed tokens: 3177185280 | elapsed time per iteration (s): 0.79 | learning rate: 1.481E-04 | global batch size: 256 | lm loss: 2.451691E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.126 | TFLOPs: 26.86 | 31: iteration 6070/ 16765 | consumed samples: 1553920 | consumed tokens: 3182428160 | elapsed time per iteration (s): 0.74 | learning rate: 1.480E-04 | global batch size: 256 | lm loss: 2.487031E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.554 | TFLOPs: 28.47 | 31: iteration 6080/ 16765 | consumed samples: 1556480 | consumed tokens: 3187671040 | elapsed time per iteration (s): 0.78 | learning rate: 1.478E-04 | global batch size: 256 | lm loss: 2.479076E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.384 | TFLOPs: 27.13 | 31: iteration 6090/ 16765 | consumed samples: 1559040 | consumed tokens: 3192913920 | elapsed time per iteration (s): 1.16 | learning rate: 1.477E-04 | global batch size: 256 | lm loss: 2.456317E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 221.537 | TFLOPs: 18.31 | 31: iteration 6100/ 16765 | consumed samples: 1561600 | consumed tokens: 3198156800 | elapsed time per iteration (s): 0.83 | learning rate: 1.475E-04 | global batch size: 256 | lm loss: 2.478065E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.355 | TFLOPs: 25.56 | 31: iteration 6110/ 16765 | consumed samples: 1564160 | consumed tokens: 3203399680 | elapsed time per iteration (s): 0.76 | learning rate: 1.473E-04 | global batch size: 256 | lm loss: 2.447313E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.255 | TFLOPs: 27.70 | 31: iteration 6120/ 16765 | consumed samples: 1566720 | consumed tokens: 3208642560 | elapsed time per iteration (s): 0.74 | learning rate: 1.472E-04 | global batch size: 256 | lm loss: 2.429451E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.816 | TFLOPs: 28.49 | 31: iteration 6130/ 16765 | consumed samples: 1569280 | consumed tokens: 3213885440 | elapsed time per iteration (s): 0.79 | learning rate: 1.470E-04 | global batch size: 256 | lm loss: 2.462780E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.045 | TFLOPs: 26.94 | 31: iteration 6140/ 16765 | consumed samples: 1571840 | consumed tokens: 3219128320 | elapsed time per iteration (s): 0.79 | learning rate: 1.469E-04 | global batch size: 256 | lm loss: 2.448022E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.421 | TFLOPs: 26.81 | 31: iteration 6150/ 16765 | consumed samples: 1574400 | consumed tokens: 3224371200 | elapsed time per iteration (s): 0.74 | learning rate: 1.467E-04 | global batch size: 256 | lm loss: 2.450561E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.990 | TFLOPs: 28.51 | 31: iteration 6160/ 16765 | consumed samples: 1576960 | consumed tokens: 3229614080 | elapsed time per iteration (s): 0.73 | learning rate: 1.466E-04 | global batch size: 256 | lm loss: 2.441913E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.290 | TFLOPs: 28.86 | 31: iteration 6170/ 16765 | consumed samples: 1579520 | consumed tokens: 3234856960 | elapsed time per iteration (s): 0.75 | learning rate: 1.464E-04 | global batch size: 256 | lm loss: 2.449062E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.967 | TFLOPs: 28.34 | 31: iteration 6180/ 16765 | consumed samples: 1582080 | consumed tokens: 3240099840 | elapsed time per iteration (s): 0.76 | learning rate: 1.463E-04 | global batch size: 256 | lm loss: 2.439067E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.535 | TFLOPs: 27.72 | 31: iteration 6190/ 16765 | consumed samples: 1584640 | consumed tokens: 3245342720 | elapsed time per iteration (s): 0.82 | learning rate: 1.461E-04 | global batch size: 256 | lm loss: 2.470489E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.911 | TFLOPs: 25.86 | 31: iteration 6200/ 16765 | consumed samples: 1587200 | consumed tokens: 3250585600 | elapsed time per iteration (s): 0.78 | learning rate: 1.460E-04 | global batch size: 256 | lm loss: 2.456969E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.926 | TFLOPs: 27.10 | 31: iteration 6210/ 16765 | consumed samples: 1589760 | consumed tokens: 3255828480 | elapsed time per iteration (s): 0.73 | learning rate: 1.458E-04 | global batch size: 256 | lm loss: 2.489742E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.322 | TFLOPs: 29.11 | 31: iteration 6220/ 16765 | consumed samples: 1592320 | consumed tokens: 3261071360 | elapsed time per iteration (s): 0.77 | learning rate: 1.456E-04 | global batch size: 256 | lm loss: 2.466467E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.533 | TFLOPs: 27.39 | 31: iteration 6230/ 16765 | consumed samples: 1594880 | consumed tokens: 3266314240 | elapsed time per iteration (s): 0.74 | learning rate: 1.455E-04 | global batch size: 256 | lm loss: 2.482904E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.078 | TFLOPs: 28.68 | 31: iteration 6240/ 16765 | consumed samples: 1597440 | consumed tokens: 3271557120 | elapsed time per iteration (s): 0.73 | learning rate: 1.453E-04 | global batch size: 256 | lm loss: 2.481155E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.152 | TFLOPs: 29.02 | 31: iteration 6250/ 16765 | consumed samples: 1600000 | consumed tokens: 3276800000 | elapsed time per iteration (s): 0.77 | learning rate: 1.452E-04 | global batch size: 256 | lm loss: 2.439280E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.557 | TFLOPs: 27.48 | 31: iteration 6260/ 16765 | consumed samples: 1602560 | consumed tokens: 3282042880 | elapsed time per iteration (s): 0.77 | learning rate: 1.450E-04 | global batch size: 256 | lm loss: 2.475026E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.528 | TFLOPs: 27.39 | 31: iteration 6270/ 16765 | consumed samples: 1605120 | consumed tokens: 3287285760 | elapsed time per iteration (s): 0.85 | learning rate: 1.449E-04 | global batch size: 256 | lm loss: 2.446178E+00 | grad norm: 0.217 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 300.704 | TFLOPs: 24.85 | 31: iteration 6280/ 16765 | consumed samples: 1607680 | consumed tokens: 3292528640 | elapsed time per iteration (s): 0.84 | learning rate: 1.447E-04 | global batch size: 256 | lm loss: 2.442245E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 304.408 | TFLOPs: 25.15 | 31: iteration 6290/ 16765 | consumed samples: 1610240 | consumed tokens: 3297771520 | elapsed time per iteration (s): 0.75 | learning rate: 1.446E-04 | global batch size: 256 | lm loss: 2.436729E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.352 | TFLOPs: 28.04 | 31: iteration 6300/ 16765 | consumed samples: 1612800 | consumed tokens: 3303014400 | elapsed time per iteration (s): 0.82 | learning rate: 1.444E-04 | global batch size: 256 | lm loss: 2.444978E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.684 | TFLOPs: 25.92 | 31: iteration 6310/ 16765 | consumed samples: 1615360 | consumed tokens: 3308257280 | elapsed time per iteration (s): 0.80 | learning rate: 1.442E-04 | global batch size: 256 | lm loss: 2.431433E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.054 | TFLOPs: 26.28 | 31: iteration 6320/ 16765 | consumed samples: 1617920 | consumed tokens: 3313500160 | elapsed time per iteration (s): 0.72 | learning rate: 1.441E-04 | global batch size: 256 | lm loss: 2.453990E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.893 | TFLOPs: 29.24 | 31: iteration 6330/ 16765 | consumed samples: 1620480 | consumed tokens: 3318743040 | elapsed time per iteration (s): 0.74 | learning rate: 1.439E-04 | global batch size: 256 | lm loss: 2.481208E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.234 | TFLOPs: 28.61 | 31: iteration 6340/ 16765 | consumed samples: 1623040 | consumed tokens: 3323985920 | elapsed time per iteration (s): 0.73 | learning rate: 1.438E-04 | global batch size: 256 | lm loss: 2.412885E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.641 | TFLOPs: 29.14 | 31: iteration 6350/ 16765 | consumed samples: 1625600 | consumed tokens: 3329228800 | elapsed time per iteration (s): 0.75 | learning rate: 1.436E-04 | global batch size: 256 | lm loss: 2.449510E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.150 | TFLOPs: 28.27 | 31: iteration 6360/ 16765 | consumed samples: 1628160 | consumed tokens: 3334471680 | elapsed time per iteration (s): 0.74 | learning rate: 1.435E-04 | global batch size: 256 | lm loss: 2.445147E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.179 | TFLOPs: 28.69 | 31: iteration 6370/ 16765 | consumed samples: 1630720 | consumed tokens: 3339714560 | elapsed time per iteration (s): 0.75 | learning rate: 1.433E-04 | global batch size: 256 | lm loss: 2.464583E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.245 | TFLOPs: 28.36 | 31: iteration 6380/ 16765 | consumed samples: 1633280 | consumed tokens: 3344957440 | elapsed time per iteration (s): 0.76 | learning rate: 1.432E-04 | global batch size: 256 | lm loss: 2.431423E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.491 | TFLOPs: 27.72 | 31: iteration 6390/ 16765 | consumed samples: 1635840 | consumed tokens: 3350200320 | elapsed time per iteration (s): 0.76 | learning rate: 1.430E-04 | global batch size: 256 | lm loss: 2.441238E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.525 | TFLOPs: 27.89 | 31: iteration 6400/ 16765 | consumed samples: 1638400 | consumed tokens: 3355443200 | elapsed time per iteration (s): 0.80 | learning rate: 1.428E-04 | global batch size: 256 | lm loss: 2.441706E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.100 | TFLOPs: 26.45 | 31: iteration 6410/ 16765 | consumed samples: 1640960 | consumed tokens: 3360686080 | elapsed time per iteration (s): 0.76 | learning rate: 1.427E-04 | global batch size: 256 | lm loss: 2.463402E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.089 | TFLOPs: 27.69 | 31: iteration 6420/ 16765 | consumed samples: 1643520 | consumed tokens: 3365928960 | elapsed time per iteration (s): 0.78 | learning rate: 1.425E-04 | global batch size: 256 | lm loss: 2.422606E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.924 | TFLOPs: 27.26 | 31: iteration 6430/ 16765 | consumed samples: 1646080 | consumed tokens: 3371171840 | elapsed time per iteration (s): 0.76 | learning rate: 1.424E-04 | global batch size: 256 | lm loss: 2.442114E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.792 | TFLOPs: 27.75 | 31: iteration 6440/ 16765 | consumed samples: 1648640 | consumed tokens: 3376414720 | elapsed time per iteration (s): 0.79 | learning rate: 1.422E-04 | global batch size: 256 | lm loss: 2.445793E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.415 | TFLOPs: 26.64 | 31: iteration 6450/ 16765 | consumed samples: 1651200 | consumed tokens: 3381657600 | elapsed time per iteration (s): 0.77 | learning rate: 1.421E-04 | global batch size: 256 | lm loss: 2.441223E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.242 | TFLOPs: 27.62 | 31: iteration 6460/ 16765 | consumed samples: 1653760 | consumed tokens: 3386900480 | elapsed time per iteration (s): 0.74 | learning rate: 1.419E-04 | global batch size: 256 | lm loss: 2.406389E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.461 | TFLOPs: 28.46 | 31: iteration 6470/ 16765 | consumed samples: 1656320 | consumed tokens: 3392143360 | elapsed time per iteration (s): 0.77 | learning rate: 1.417E-04 | global batch size: 256 | lm loss: 2.424908E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.135 | TFLOPs: 27.53 | 31: iteration 6480/ 16765 | consumed samples: 1658880 | consumed tokens: 3397386240 | elapsed time per iteration (s): 0.74 | learning rate: 1.416E-04 | global batch size: 256 | lm loss: 2.451507E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.967 | TFLOPs: 28.42 | 31: iteration 6490/ 16765 | consumed samples: 1661440 | consumed tokens: 3402629120 | elapsed time per iteration (s): 0.72 | learning rate: 1.414E-04 | global batch size: 256 | lm loss: 2.433013E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.627 | TFLOPs: 29.47 | 31: iteration 6500/ 16765 | consumed samples: 1664000 | consumed tokens: 3407872000 | elapsed time per iteration (s): 0.75 | learning rate: 1.413E-04 | global batch size: 256 | lm loss: 2.411699E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.879 | TFLOPs: 28.33 | 31: iteration 6510/ 16765 | consumed samples: 1666560 | consumed tokens: 3413114880 | elapsed time per iteration (s): 0.81 | learning rate: 1.411E-04 | global batch size: 256 | lm loss: 2.440924E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.256 | TFLOPs: 25.97 | 31: iteration 6520/ 16765 | consumed samples: 1669120 | consumed tokens: 3418357760 | elapsed time per iteration (s): 15.73 | learning rate: 1.409E-04 | global batch size: 256 | lm loss: 2.453328E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 16.274 | TFLOPs: 1.34 | 31: iteration 6530/ 16765 | consumed samples: 1671680 | consumed tokens: 3423600640 | elapsed time per iteration (s): 0.79 | learning rate: 1.408E-04 | global batch size: 256 | lm loss: 2.419039E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.839 | TFLOPs: 26.76 | 31: iteration 6540/ 16765 | consumed samples: 1674240 | consumed tokens: 3428843520 | elapsed time per iteration (s): 0.80 | learning rate: 1.406E-04 | global batch size: 256 | lm loss: 2.424979E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.971 | TFLOPs: 26.44 | 31: iteration 6550/ 16765 | consumed samples: 1676800 | consumed tokens: 3434086400 | elapsed time per iteration (s): 0.79 | learning rate: 1.405E-04 | global batch size: 256 | lm loss: 2.455503E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.950 | TFLOPs: 26.77 | 31: iteration 6560/ 16765 | consumed samples: 1679360 | consumed tokens: 3439329280 | elapsed time per iteration (s): 0.78 | learning rate: 1.403E-04 | global batch size: 256 | lm loss: 2.439467E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.349 | TFLOPs: 27.05 | 31: iteration 6570/ 16765 | consumed samples: 1681920 | consumed tokens: 3444572160 | elapsed time per iteration (s): 0.73 | learning rate: 1.401E-04 | global batch size: 256 | lm loss: 2.440867E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.370 | TFLOPs: 29.12 | 31: iteration 6580/ 16765 | consumed samples: 1684480 | consumed tokens: 3449815040 | elapsed time per iteration (s): 0.75 | learning rate: 1.400E-04 | global batch size: 256 | lm loss: 2.448058E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.339 | TFLOPs: 28.12 | 31: iteration 6590/ 16765 | consumed samples: 1687040 | consumed tokens: 3455057920 | elapsed time per iteration (s): 0.76 | learning rate: 1.398E-04 | global batch size: 256 | lm loss: 2.434232E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.694 | TFLOPs: 27.66 | 31: iteration 6600/ 16765 | consumed samples: 1689600 | consumed tokens: 3460300800 | elapsed time per iteration (s): 0.76 | learning rate: 1.397E-04 | global batch size: 256 | lm loss: 2.436234E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.463 | TFLOPs: 27.97 | 31: iteration 6610/ 16765 | consumed samples: 1692160 | consumed tokens: 3465543680 | elapsed time per iteration (s): 0.75 | learning rate: 1.395E-04 | global batch size: 256 | lm loss: 2.438738E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.874 | TFLOPs: 28.08 | 31: iteration 6620/ 16765 | consumed samples: 1694720 | consumed tokens: 3470786560 | elapsed time per iteration (s): 0.78 | learning rate: 1.394E-04 | global batch size: 256 | lm loss: 2.412827E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.391 | TFLOPs: 27.05 | 31: iteration 6630/ 16765 | consumed samples: 1697280 | consumed tokens: 3476029440 | elapsed time per iteration (s): 0.73 | learning rate: 1.392E-04 | global batch size: 256 | lm loss: 2.442038E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.002 | TFLOPs: 28.92 | 31: iteration 6640/ 16765 | consumed samples: 1699840 | consumed tokens: 3481272320 | elapsed time per iteration (s): 0.71 | learning rate: 1.390E-04 | global batch size: 256 | lm loss: 2.415210E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.243 | TFLOPs: 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| samples per second: 314.308 | TFLOPs: 25.97 | 31: iteration 6680/ 16765 | consumed samples: 1710080 | consumed tokens: 3502243840 | elapsed time per iteration (s): 0.77 | learning rate: 1.384E-04 | global batch size: 256 | lm loss: 2.413624E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.664 | TFLOPs: 27.57 | 31: iteration 6690/ 16765 | consumed samples: 1712640 | consumed tokens: 3507486720 | elapsed time per iteration (s): 0.77 | learning rate: 1.382E-04 | global batch size: 256 | lm loss: 2.431877E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.581 | TFLOPs: 27.48 | 31: iteration 6700/ 16765 | consumed samples: 1715200 | consumed tokens: 3512729600 | elapsed time per iteration (s): 0.75 | learning rate: 1.381E-04 | global batch size: 256 | lm loss: 2.438409E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.579 | TFLOPs: 28.39 | 31: iteration 6710/ 16765 | consumed samples: 1717760 | consumed tokens: 3517972480 | elapsed time per iteration (s): 0.75 | learning rate: 1.379E-04 | global batch size: 256 | lm loss: 2.451404E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.109 | TFLOPs: 28.10 | 31: iteration 6720/ 16765 | consumed samples: 1720320 | consumed tokens: 3523215360 | elapsed time per iteration (s): 0.79 | learning rate: 1.378E-04 | global batch size: 256 | lm loss: 2.409005E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.334 | TFLOPs: 26.63 | 31: iteration 6730/ 16765 | consumed samples: 1722880 | consumed tokens: 3528458240 | elapsed time per iteration (s): 0.75 | learning rate: 1.376E-04 | global batch size: 256 | lm loss: 2.453577E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.627 | TFLOPs: 28.23 | 31: iteration 6740/ 16765 | consumed samples: 1725440 | consumed tokens: 3533701120 | elapsed time per iteration (s): 0.75 | learning rate: 1.374E-04 | global batch size: 256 | lm loss: 2.430190E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.276 | TFLOPs: 28.12 | 31: iteration 6750/ 16765 | consumed samples: 1728000 | consumed tokens: 3538944000 | elapsed time per iteration (s): 0.75 | learning rate: 1.373E-04 | global batch size: 256 | lm loss: 2.406363E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.930 | TFLOPs: 28.17 | 31: iteration 6760/ 16765 | consumed samples: 1730560 | consumed tokens: 3544186880 | elapsed time per iteration (s): 0.74 | learning rate: 1.371E-04 | global batch size: 256 | lm loss: 2.426963E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.947 | TFLOPs: 28.50 | 31: iteration 6770/ 16765 | consumed samples: 1733120 | consumed tokens: 3549429760 | elapsed time per iteration (s): 0.75 | learning rate: 1.369E-04 | global batch size: 256 | lm loss: 2.390209E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.639 | TFLOPs: 28.31 | 31: iteration 6780/ 16765 | consumed samples: 1735680 | consumed tokens: 3554672640 | elapsed time per iteration (s): 0.75 | learning rate: 1.368E-04 | global batch size: 256 | lm loss: 2.403421E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.075 | TFLOPs: 28.10 | 31: iteration 6790/ 16765 | consumed samples: 1738240 | consumed tokens: 3559915520 | elapsed time per iteration (s): 0.77 | learning rate: 1.366E-04 | global batch size: 256 | lm loss: 2.424509E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.984 | TFLOPs: 27.60 | 31: iteration 6800/ 16765 | consumed samples: 1740800 | consumed tokens: 3565158400 | elapsed time per iteration (s): 0.74 | learning rate: 1.365E-04 | global batch size: 256 | lm loss: 2.472354E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.004 | TFLOPs: 28.42 | 31: iteration 6810/ 16765 | consumed samples: 1743360 | consumed tokens: 3570401280 | elapsed time per iteration (s): 0.73 | learning rate: 1.363E-04 | global batch size: 256 | lm loss: 2.417705E+00 | grad norm: 0.194 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.620 | TFLOPs: 28.89 | 31: iteration 6820/ 16765 | consumed samples: 1745920 | consumed tokens: 3575644160 | elapsed time per iteration (s): 0.75 | learning rate: 1.361E-04 | global batch size: 256 | lm loss: 2.417316E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.718 | TFLOPs: 28.32 | 31: iteration 6830/ 16765 | consumed samples: 1748480 | consumed tokens: 3580887040 | elapsed time per iteration (s): 0.82 | learning rate: 1.360E-04 | global batch size: 256 | lm loss: 2.433765E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.960 | TFLOPs: 25.94 | 31: iteration 6840/ 16765 | consumed samples: 1751040 | consumed tokens: 3586129920 | elapsed time per iteration (s): 0.90 | learning rate: 1.358E-04 | global batch size: 256 | lm loss: 2.426909E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 285.007 | TFLOPs: 23.55 | 31: iteration 6850/ 16765 | consumed samples: 1753600 | consumed tokens: 3591372800 | elapsed time per iteration (s): 0.73 | learning rate: 1.357E-04 | global batch size: 256 | lm loss: 2.420693E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.587 | TFLOPs: 28.89 | 31: iteration 6860/ 16765 | consumed samples: 1756160 | consumed tokens: 3596615680 | elapsed time per iteration (s): 0.77 | learning rate: 1.355E-04 | global batch size: 256 | lm loss: 2.404350E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.136 | TFLOPs: 27.61 | 31: iteration 6870/ 16765 | consumed samples: 1758720 | consumed tokens: 3601858560 | elapsed time per iteration (s): 0.74 | learning rate: 1.353E-04 | global batch size: 256 | lm loss: 2.452344E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.514 | TFLOPs: 28.47 | 31: iteration 6880/ 16765 | consumed samples: 1761280 | consumed tokens: 3607101440 | elapsed time per iteration (s): 0.75 | learning rate: 1.352E-04 | global batch size: 256 | lm loss: 2.441587E+00 | grad norm: 0.206 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.490 | TFLOPs: 28.30 | 31: iteration 6890/ 16765 | consumed samples: 1763840 | consumed tokens: 3612344320 | elapsed time per iteration (s): 0.75 | learning rate: 1.350E-04 | global batch size: 256 | lm loss: 2.377895E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.254 | TFLOPs: 28.28 | 31: iteration 6900/ 16765 | consumed samples: 1766400 | consumed tokens: 3617587200 | elapsed time per iteration (s): 0.78 | learning rate: 1.348E-04 | global batch size: 256 | lm loss: 2.385744E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.344 | TFLOPs: 26.97 | 31: iteration 6910/ 16765 | consumed samples: 1768960 | consumed tokens: 3622830080 | elapsed time per iteration (s): 0.74 | learning rate: 1.347E-04 | global batch size: 256 | lm loss: 2.418834E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.598 | TFLOPs: 28.64 | 31: iteration 6920/ 16765 | consumed samples: 1771520 | consumed tokens: 3628072960 | elapsed time per iteration (s): 0.79 | learning rate: 1.345E-04 | global batch size: 256 | lm loss: 2.415746E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.835 | TFLOPs: 26.92 | 31: iteration 6930/ 16765 | consumed samples: 1774080 | consumed tokens: 3633315840 | elapsed time per iteration (s): 0.75 | learning rate: 1.344E-04 | global batch size: 256 | lm loss: 2.410745E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.523 | TFLOPs: 28.22 | 31: iteration 6940/ 16765 | consumed samples: 1776640 | consumed tokens: 3638558720 | elapsed time per iteration (s): 0.77 | learning rate: 1.342E-04 | global batch size: 256 | lm loss: 2.429733E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.672 | TFLOPs: 27.49 | 31: iteration 6950/ 16765 | consumed samples: 1779200 | consumed tokens: 3643801600 | elapsed time per iteration (s): 0.74 | learning rate: 1.340E-04 | global batch size: 256 | lm loss: 2.404888E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.658 | TFLOPs: 28.56 | 31: iteration 6960/ 16765 | consumed samples: 1781760 | consumed tokens: 3649044480 | elapsed time per iteration (s): 0.77 | learning rate: 1.339E-04 | global batch size: 256 | lm loss: 2.446494E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.714 | TFLOPs: 27.49 | 31: iteration 6970/ 16765 | consumed samples: 1784320 | consumed tokens: 3654287360 | elapsed time per iteration (s): 0.79 | learning rate: 1.337E-04 | global batch size: 256 | lm loss: 2.409951E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.846 | TFLOPs: 26.76 | 31: iteration 6980/ 16765 | consumed samples: 1786880 | consumed tokens: 3659530240 | elapsed time per iteration (s): 0.81 | learning rate: 1.335E-04 | global batch size: 256 | lm loss: 2.388786E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.813 | TFLOPs: 26.18 | 31: iteration 6990/ 16765 | consumed samples: 1789440 | consumed tokens: 3664773120 | elapsed time per iteration (s): 0.76 | learning rate: 1.334E-04 | global batch size: 256 | lm loss: 2.442115E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.228 | TFLOPs: 27.70 | 31: iteration 7000/ 16765 | consumed samples: 1792000 | consumed tokens: 3670016000 | elapsed time per iteration (s): 0.76 | learning rate: 1.332E-04 | global batch size: 256 | lm loss: 2.426197E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.103 | TFLOPs: 27.69 | 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 7000 | lm loss value: 2.390373E+00 | lm loss PPL: 1.091756E+01 | 31: ------------------------------------------------------------------------------------------ 31: iteration 7010/ 16765 | consumed samples: 1794560 | consumed tokens: 3675258880 | elapsed time per iteration (s): 0.83 | learning rate: 1.331E-04 | global batch size: 256 | lm loss: 2.402200E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.215 | TFLOPs: 25.63 | 31: iteration 7020/ 16765 | consumed samples: 1797120 | consumed tokens: 3680501760 | elapsed time per iteration (s): 0.76 | learning rate: 1.329E-04 | global batch size: 256 | lm loss: 2.450264E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.603 | TFLOPs: 27.98 | 31: iteration 7030/ 16765 | consumed samples: 1799680 | consumed tokens: 3685744640 | elapsed time per iteration (s): 0.76 | learning rate: 1.327E-04 | global batch size: 256 | lm loss: 2.392419E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.568 | TFLOPs: 27.98 | 31: iteration 7040/ 16765 | consumed samples: 1802240 | consumed tokens: 3690987520 | elapsed time per iteration (s): 0.73 | learning rate: 1.326E-04 | global batch size: 256 | lm loss: 2.430257E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.078 | TFLOPs: 29.09 | 31: iteration 7050/ 16765 | consumed samples: 1804800 | consumed tokens: 3696230400 | elapsed time per iteration (s): 0.74 | learning rate: 1.324E-04 | global batch size: 256 | lm loss: 2.430930E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.333 | TFLOPs: 28.45 | 31: iteration 7060/ 16765 | consumed samples: 1807360 | consumed tokens: 3701473280 | elapsed time per iteration (s): 0.76 | learning rate: 1.322E-04 | global batch size: 256 | lm loss: 2.401707E+00 | grad norm: 0.231 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.988 | TFLOPs: 27.93 | 31: iteration 7070/ 16765 | consumed samples: 1809920 | consumed tokens: 3706716160 | elapsed time per iteration (s): 0.80 | learning rate: 1.321E-04 | global batch size: 256 | lm loss: 2.419499E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.676 | TFLOPs: 26.58 | 31: iteration 7080/ 16765 | consumed samples: 1812480 | consumed tokens: 3711959040 | elapsed time per iteration (s): 0.79 | learning rate: 1.319E-04 | global batch size: 256 | lm loss: 2.400195E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.120 | TFLOPs: 26.78 | 31: iteration 7090/ 16765 | consumed samples: 1815040 | consumed tokens: 3717201920 | elapsed time per iteration (s): 0.80 | learning rate: 1.317E-04 | global batch size: 256 | lm loss: 2.424747E+00 | grad norm: 0.228 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.732 | TFLOPs: 26.50 | 31: iteration 7100/ 16765 | consumed samples: 1817600 | consumed tokens: 3722444800 | elapsed time per iteration (s): 0.77 | learning rate: 1.316E-04 | global batch size: 256 | lm loss: 2.388464E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.417 | TFLOPs: 27.30 | 31: iteration 7110/ 16765 | consumed samples: 1820160 | consumed tokens: 3727687680 | elapsed time per iteration (s): 0.79 | learning rate: 1.314E-04 | global batch size: 256 | lm loss: 2.445726E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.055 | TFLOPs: 26.86 | 31: iteration 7120/ 16765 | consumed samples: 1822720 | consumed tokens: 3732930560 | elapsed time per iteration (s): 0.77 | learning rate: 1.313E-04 | global batch size: 256 | lm loss: 2.409123E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.799 | TFLOPs: 27.50 | 31: iteration 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332.873 | TFLOPs: 27.50 | 31: iteration 7160/ 16765 | consumed samples: 1832960 | consumed tokens: 3753902080 | elapsed time per iteration (s): 0.74 | learning rate: 1.306E-04 | global batch size: 256 | lm loss: 2.436426E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.047 | TFLOPs: 28.76 | 31: iteration 7170/ 16765 | consumed samples: 1835520 | consumed tokens: 3759144960 | elapsed time per iteration (s): 0.75 | learning rate: 1.304E-04 | global batch size: 256 | lm loss: 2.437841E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.503 | TFLOPs: 28.22 | 31: iteration 7180/ 16765 | consumed samples: 1838080 | consumed tokens: 3764387840 | elapsed time per iteration (s): 0.77 | learning rate: 1.303E-04 | global batch size: 256 | lm loss: 2.419033E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.489 | TFLOPs: 27.56 | 31: iteration 7190/ 16765 | consumed samples: 1840640 | consumed tokens: 3769630720 | elapsed time per iteration (s): 0.78 | learning rate: 1.301E-04 | global batch size: 256 | lm loss: 2.391649E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.457 | TFLOPs: 26.97 | 31: iteration 7200/ 16765 | consumed samples: 1843200 | consumed tokens: 3774873600 | elapsed time per iteration (s): 0.73 | learning rate: 1.299E-04 | global batch size: 256 | lm loss: 2.399430E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.982 | TFLOPs: 28.92 | 31: iteration 7210/ 16765 | consumed samples: 1845760 | consumed tokens: 3780116480 | elapsed time per iteration (s): 0.74 | learning rate: 1.298E-04 | global batch size: 256 | lm loss: 2.411914E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.693 | TFLOPs: 28.40 | 31: iteration 7220/ 16765 | consumed samples: 1848320 | consumed tokens: 3785359360 | elapsed time per iteration (s): 0.74 | learning rate: 1.296E-04 | global batch size: 256 | lm loss: 2.408419E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.953 | TFLOPs: 28.50 | 31: iteration 7230/ 16765 | consumed samples: 1850880 | consumed tokens: 3790602240 | elapsed time per iteration (s): 0.73 | learning rate: 1.294E-04 | global batch size: 256 | lm loss: 2.418735E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.303 | TFLOPs: 28.95 | 31: iteration 7240/ 16765 | consumed samples: 1853440 | consumed tokens: 3795845120 | elapsed time per iteration (s): 0.72 | learning rate: 1.293E-04 | global batch size: 256 | lm loss: 2.428112E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.248 | TFLOPs: 29.44 | 31: iteration 7250/ 16765 | consumed samples: 1856000 | consumed tokens: 3801088000 | elapsed time per iteration (s): 0.77 | learning rate: 1.291E-04 | global batch size: 256 | lm loss: 2.438620E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.487 | TFLOPs: 27.64 | 31: iteration 7260/ 16765 | consumed samples: 1858560 | consumed tokens: 3806330880 | elapsed time per iteration (s): 0.75 | learning rate: 1.290E-04 | global batch size: 256 | lm loss: 2.387687E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.608 | TFLOPs: 28.39 | 31: iteration 7270/ 16765 | consumed samples: 1861120 | consumed tokens: 3811573760 | elapsed time per iteration (s): 0.79 | learning rate: 1.288E-04 | global batch size: 256 | lm loss: 2.426937E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.603 | TFLOPs: 26.66 | 31: iteration 7280/ 16765 | consumed samples: 1863680 | consumed tokens: 3816816640 | elapsed time per iteration (s): 0.73 | learning rate: 1.286E-04 | global batch size: 256 | lm loss: 2.429826E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.144 | TFLOPs: 28.85 | 31: iteration 7290/ 16765 | consumed samples: 1866240 | consumed tokens: 3822059520 | elapsed time per iteration (s): 0.76 | learning rate: 1.285E-04 | global batch size: 256 | lm loss: 2.422944E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.772 | TFLOPs: 27.66 | 31: iteration 7300/ 16765 | consumed samples: 1868800 | consumed tokens: 3827302400 | elapsed time per iteration (s): 0.73 | learning rate: 1.283E-04 | global batch size: 256 | lm loss: 2.427704E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.203 | TFLOPs: 29.02 | 31: iteration 7310/ 16765 | consumed samples: 1871360 | consumed tokens: 3832545280 | elapsed time per iteration (s): 0.75 | learning rate: 1.281E-04 | global batch size: 256 | lm loss: 2.415477E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.296 | TFLOPs: 28.37 | 31: iteration 7320/ 16765 | consumed samples: 1873920 | consumed tokens: 3837788160 | elapsed time per iteration (s): 0.77 | learning rate: 1.280E-04 | global batch size: 256 | lm loss: 2.400956E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.555 | TFLOPs: 27.56 | 31: iteration 7330/ 16765 | consumed samples: 1876480 | consumed tokens: 3843031040 | elapsed time per iteration (s): 0.74 | learning rate: 1.278E-04 | global batch size: 256 | lm loss: 2.415351E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.203 | TFLOPs: 28.52 | 31: iteration 7340/ 16765 | consumed samples: 1879040 | consumed tokens: 3848273920 | elapsed time per iteration (s): 0.80 | learning rate: 1.276E-04 | global batch size: 256 | lm loss: 2.385453E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.628 | TFLOPs: 26.49 | 31: iteration 7350/ 16765 | consumed samples: 1881600 | consumed tokens: 3853516800 | elapsed time per iteration (s): 0.81 | learning rate: 1.275E-04 | global batch size: 256 | lm loss: 2.406473E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.658 | TFLOPs: 26.08 | 31: iteration 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335.948 | TFLOPs: 27.76 | 31: iteration 7390/ 16765 | consumed samples: 1891840 | consumed tokens: 3874488320 | elapsed time per iteration (s): 0.74 | learning rate: 1.268E-04 | global batch size: 256 | lm loss: 2.376901E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.990 | TFLOPs: 28.67 | 31: iteration 7400/ 16765 | consumed samples: 1894400 | consumed tokens: 3879731200 | elapsed time per iteration (s): 0.76 | learning rate: 1.266E-04 | global batch size: 256 | lm loss: 2.415449E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.173 | TFLOPs: 27.69 | 31: iteration 7410/ 16765 | consumed samples: 1896960 | consumed tokens: 3884974080 | elapsed time per iteration (s): 0.74 | learning rate: 1.265E-04 | global batch size: 256 | lm loss: 2.421584E+00 | grad norm: 0.199 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.432 | TFLOPs: 28.54 | 31: iteration 7420/ 16765 | consumed samples: 1899520 | consumed tokens: 3890216960 | elapsed time per iteration (s): 0.74 | learning rate: 1.263E-04 | global batch size: 256 | lm loss: 2.373887E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.406 | TFLOPs: 28.71 | 31: iteration 7430/ 16765 | consumed samples: 1902080 | consumed tokens: 3895459840 | elapsed time per iteration (s): 0.76 | learning rate: 1.261E-04 | global batch size: 256 | lm loss: 2.402925E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.218 | TFLOPs: 27.78 | 31: iteration 7440/ 16765 | consumed samples: 1904640 | consumed tokens: 3900702720 | elapsed time per iteration (s): 0.77 | learning rate: 1.260E-04 | global batch size: 256 | lm loss: 2.355268E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.470 | TFLOPs: 27.39 | 31: iteration 7450/ 16765 | consumed samples: 1907200 | consumed tokens: 3905945600 | elapsed time per iteration (s): 0.74 | learning rate: 1.258E-04 | global batch size: 256 | lm loss: 2.401081E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.840 | TFLOPs: 28.49 | 31: iteration 7460/ 16765 | consumed samples: 1909760 | consumed tokens: 3911188480 | elapsed time per iteration (s): 0.81 | learning rate: 1.256E-04 | global batch size: 256 | lm loss: 2.412214E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.094 | TFLOPs: 26.04 | 31: iteration 7470/ 16765 | consumed samples: 1912320 | consumed tokens: 3916431360 | elapsed time per iteration (s): 0.80 | learning rate: 1.255E-04 | global batch size: 256 | lm loss: 2.379246E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.928 | TFLOPs: 26.52 | 31: iteration 7480/ 16765 | consumed samples: 1914880 | consumed tokens: 3921674240 | elapsed time per iteration (s): 0.86 | learning rate: 1.253E-04 | global batch size: 256 | lm loss: 2.376304E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 298.628 | TFLOPs: 24.68 | 31: iteration 7490/ 16765 | consumed samples: 1917440 | consumed tokens: 3926917120 | elapsed time per iteration (s): 0.83 | learning rate: 1.251E-04 | global batch size: 256 | lm loss: 2.407834E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.831 | TFLOPs: 25.60 | 31: iteration 7500/ 16765 | consumed samples: 1920000 | consumed tokens: 3932160000 | elapsed time per iteration (s): 0.78 | learning rate: 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322.905 | TFLOPs: 26.68 | 31: iteration 7620/ 16765 | consumed samples: 1950720 | consumed tokens: 3995074560 | elapsed time per iteration (s): 0.78 | learning rate: 1.230E-04 | global batch size: 256 | lm loss: 2.356148E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.712 | TFLOPs: 27.00 | 31: iteration 7630/ 16765 | consumed samples: 1953280 | consumed tokens: 4000317440 | elapsed time per iteration (s): 0.74 | learning rate: 1.228E-04 | global batch size: 256 | lm loss: 2.378500E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.114 | TFLOPs: 28.52 | 31: iteration 7640/ 16765 | consumed samples: 1955840 | consumed tokens: 4005560320 | elapsed time per iteration (s): 0.79 | learning rate: 1.226E-04 | global batch size: 256 | lm loss: 2.408027E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.876 | TFLOPs: 26.68 | 31: iteration 7650/ 16765 | consumed samples: 1958400 | consumed tokens: 4010803200 | elapsed time per iteration (s): 0.78 | learning rate: 1.225E-04 | global batch size: 256 | lm loss: 2.405247E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.069 | TFLOPs: 27.11 | 31: iteration 7660/ 16765 | consumed samples: 1960960 | consumed tokens: 4016046080 | elapsed time per iteration (s): 0.83 | learning rate: 1.223E-04 | global batch size: 256 | lm loss: 2.356430E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.035 | TFLOPs: 25.54 | 31: iteration 7670/ 16765 | consumed samples: 1963520 | consumed tokens: 4021288960 | elapsed time per iteration (s): 0.77 | learning rate: 1.221E-04 | global batch size: 256 | lm loss: 2.393657E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.980 | TFLOPs: 27.43 | 31: iteration 7680/ 16765 | consumed samples: 1966080 | consumed tokens: 4026531840 | elapsed time per iteration (s): 0.75 | learning rate: 1.220E-04 | global batch size: 256 | lm loss: 2.375771E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.360 | TFLOPs: 28.29 | 31: iteration 7690/ 16765 | consumed samples: 1968640 | consumed tokens: 4031774720 | elapsed time per iteration (s): 0.77 | learning rate: 1.218E-04 | global batch size: 256 | lm loss: 2.407400E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.780 | TFLOPs: 27.58 | 31: iteration 7700/ 16765 | consumed samples: 1971200 | consumed tokens: 4037017600 | elapsed time per iteration (s): 0.77 | learning rate: 1.216E-04 | global batch size: 256 | lm loss: 2.386988E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.077 | TFLOPs: 27.60 | 31: iteration 7710/ 16765 | consumed samples: 1973760 | consumed tokens: 4042260480 | elapsed time per iteration (s): 0.78 | learning rate: 1.215E-04 | global batch size: 256 | lm loss: 2.385197E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.678 | TFLOPs: 27.24 | 31: iteration 7720/ 16765 | consumed samples: 1976320 | consumed tokens: 4047503360 | elapsed time per iteration (s): 0.72 | learning rate: 1.213E-04 | global batch size: 256 | lm loss: 2.390502E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.755 | TFLOPs: 29.40 | 31: iteration 7730/ 16765 | consumed samples: 1978880 | consumed tokens: 4052746240 | elapsed time per iteration (s): 0.81 | learning rate: 1.211E-04 | global batch size: 256 | lm loss: 2.414694E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.835 | TFLOPs: 26.10 | 31: iteration 7740/ 16765 | consumed samples: 1981440 | consumed tokens: 4057989120 | elapsed time per iteration (s): 0.75 | learning rate: 1.210E-04 | global batch size: 256 | lm loss: 2.395975E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.794 | TFLOPs: 28.08 | 31: iteration 7750/ 16765 | consumed samples: 1984000 | consumed tokens: 4063232000 | elapsed time per iteration (s): 0.76 | learning rate: 1.208E-04 | global batch size: 256 | lm loss: 2.395039E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.875 | TFLOPs: 28.00 | 31: iteration 7760/ 16765 | consumed samples: 1986560 | consumed tokens: 4068474880 | elapsed time per iteration (s): 0.76 | learning rate: 1.206E-04 | global batch size: 256 | lm loss: 2.402541E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.795 | TFLOPs: 27.75 | 31: iteration 7770/ 16765 | consumed samples: 1989120 | consumed tokens: 4073717760 | elapsed time per iteration (s): 0.72 | learning rate: 1.205E-04 | global batch size: 256 | lm loss: 2.389796E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.613 | TFLOPs: 29.38 | 31: iteration 7780/ 16765 | consumed samples: 1991680 | consumed tokens: 4078960640 | elapsed time per iteration (s): 0.79 | learning rate: 1.203E-04 | global batch size: 256 | lm loss: 2.429438E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.446 | TFLOPs: 26.64 | 31: iteration 7790/ 16765 | consumed samples: 1994240 | consumed tokens: 4084203520 | elapsed time per iteration (s): 0.81 | learning rate: 1.201E-04 | global batch size: 256 | lm loss: 2.382994E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.559 | TFLOPs: 25.99 | 31: iteration 7800/ 16765 | consumed samples: 1996800 | consumed tokens: 4089446400 | elapsed time per iteration (s): 0.79 | learning rate: 1.200E-04 | global batch size: 256 | lm loss: 2.380566E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.289 | TFLOPs: 26.88 | 31: iteration 7810/ 16765 | consumed samples: 1999360 | consumed tokens: 4094689280 | elapsed time per iteration (s): 0.75 | learning rate: 1.198E-04 | global batch size: 256 | lm loss: 2.373261E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.327 | TFLOPs: 28.20 | 31: iteration 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348.211 | TFLOPs: 28.77 | 31: iteration 7850/ 16765 | consumed samples: 2009600 | consumed tokens: 4115660800 | elapsed time per iteration (s): 0.77 | learning rate: 1.191E-04 | global batch size: 256 | lm loss: 2.410540E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.861 | TFLOPs: 27.34 | 31: iteration 7860/ 16765 | consumed samples: 2012160 | consumed tokens: 4120903680 | elapsed time per iteration (s): 0.75 | learning rate: 1.190E-04 | global batch size: 256 | lm loss: 2.373283E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.634 | TFLOPs: 28.06 | 31: iteration 7870/ 16765 | consumed samples: 2014720 | consumed tokens: 4126146560 | elapsed time per iteration (s): 0.79 | learning rate: 1.188E-04 | global batch size: 256 | lm loss: 2.397356E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.599 | TFLOPs: 26.82 | 31: iteration 7880/ 16765 | consumed samples: 2017280 | consumed tokens: 4131389440 | elapsed time per iteration (s): 0.79 | learning rate: 1.186E-04 | global batch size: 256 | lm loss: 2.377406E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.438 | TFLOPs: 26.81 | 31: iteration 7890/ 16765 | consumed samples: 2019840 | consumed tokens: 4136632320 | elapsed time per iteration (s): 0.74 | learning rate: 1.184E-04 | global batch size: 256 | lm loss: 2.382196E+00 | grad norm: 0.198 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.024 | TFLOPs: 28.59 | 31: iteration 7900/ 16765 | consumed samples: 2022400 | consumed tokens: 4141875200 | elapsed time per iteration (s): 0.74 | learning rate: 1.183E-04 | global batch size: 256 | lm loss: 2.358170E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.104 | TFLOPs: 28.60 | 31: iteration 7910/ 16765 | consumed samples: 2024960 | consumed tokens: 4147118080 | elapsed time per iteration (s): 0.76 | learning rate: 1.181E-04 | global batch size: 256 | lm loss: 2.405334E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.576 | TFLOPs: 27.81 | 31: iteration 7920/ 16765 | consumed samples: 2027520 | consumed tokens: 4152360960 | elapsed time per iteration (s): 0.78 | learning rate: 1.179E-04 | global batch size: 256 | lm loss: 2.367863E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.310 | TFLOPs: 27.29 | 31: iteration 7930/ 16765 | consumed samples: 2030080 | consumed tokens: 4157603840 | elapsed time per iteration (s): 0.79 | learning rate: 1.178E-04 | global batch size: 256 | lm loss: 2.411337E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.086 | TFLOPs: 26.94 | 31: iteration 7940/ 16765 | consumed samples: 2032640 | consumed tokens: 4162846720 | elapsed time per iteration (s): 0.76 | learning rate: 1.176E-04 | global batch size: 256 | lm loss: 2.353283E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.683 | TFLOPs: 27.82 | 31: iteration 7950/ 16765 | consumed samples: 2035200 | consumed tokens: 4168089600 | elapsed time per iteration (s): 0.74 | learning rate: 1.174E-04 | global batch size: 256 | lm loss: 2.356786E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.815 | TFLOPs: 28.66 | 31: iteration 7960/ 16765 | consumed samples: 2037760 | consumed tokens: 4173332480 | elapsed time per iteration (s): 0.73 | learning rate: 1.173E-04 | global batch size: 256 | lm loss: 2.425986E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.446 | TFLOPs: 28.96 | 31: iteration 7970/ 16765 | consumed samples: 2040320 | consumed tokens: 4178575360 | elapsed time per iteration (s): 0.77 | learning rate: 1.171E-04 | global batch size: 256 | lm loss: 2.390274E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.686 | TFLOPs: 27.32 | 31: iteration 7980/ 16765 | consumed samples: 2042880 | consumed tokens: 4183818240 | elapsed time per iteration (s): 0.79 | learning rate: 1.169E-04 | global batch size: 256 | lm loss: 2.381569E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.483 | TFLOPs: 26.89 | 31: iteration 7990/ 16765 | consumed samples: 2045440 | consumed tokens: 4189061120 | elapsed time per iteration (s): 0.79 | learning rate: 1.168E-04 | global batch size: 256 | lm loss: 2.415554E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.280 | TFLOPs: 26.71 | 0: [2022-11-28 14:54:46,733] [INFO] [logging.py:68:log_dist] [Rank 0] step=8000, skipped=0, lr=[0.00011659772932025566, 0.00011659772932025566, 0.00011659772932025566], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 8000/ 16765 | consumed samples: 2048000 | consumed tokens: 4194304000 | elapsed time per iteration (s): 0.80 | learning rate: 1.166E-04 | global batch size: 256 | lm loss: 2.380451E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.917 | TFLOPs: 26.60 | 0: steps: 8000 loss: 2.3748 iter time (s): 0.840 samples/sec: 304.695 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 8000 | lm loss value: 2.368468E+00 | lm loss PPL: 1.068102E+01 | 31: ------------------------------------------------------------------------------------------ 31: iteration 8010/ 16765 | consumed samples: 2050560 | consumed tokens: 4199546880 | elapsed time per iteration (s): 0.79 | learning rate: 1.164E-04 | global batch size: 256 | lm loss: 2.406780E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.959 | TFLOPs: 26.93 | 31: iteration 8020/ 16765 | consumed samples: 2053120 | consumed tokens: 4204789760 | elapsed time per iteration (s): 0.76 | learning rate: 1.163E-04 | global batch size: 256 | lm loss: 2.373484E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.748 | TFLOPs: 27.91 | 31: iteration 8030/ 16765 | consumed samples: 2055680 | consumed tokens: 4210032640 | elapsed time per iteration (s): 0.78 | learning rate: 1.161E-04 | global batch size: 256 | lm loss: 2.365982E+00 | grad norm: 0.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.492 | TFLOPs: 27.14 | 31: iteration 8040/ 16765 | consumed samples: 2058240 | consumed tokens: 4215275520 | elapsed time per iteration (s): 0.74 | learning rate: 1.159E-04 | global batch size: 256 | lm loss: 2.374798E+00 | grad norm: 0.202 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.704 | TFLOPs: 28.40 | 31: iteration 8050/ 16765 | consumed samples: 2060800 | consumed tokens: 4220518400 | elapsed time per iteration (s): 0.74 | learning rate: 1.158E-04 | global batch size: 256 | lm loss: 2.362064E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.655 | TFLOPs: 28.40 | 31: iteration 8060/ 16765 | consumed samples: 2063360 | consumed tokens: 4225761280 | elapsed time per iteration (s): 0.72 | learning rate: 1.156E-04 | global batch size: 256 | lm loss: 2.407243E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.680 | TFLOPs: 29.39 | 31: iteration 8070/ 16765 | consumed samples: 2065920 | consumed tokens: 4231004160 | elapsed time per iteration (s): 0.74 | learning rate: 1.154E-04 | global batch size: 256 | lm loss: 2.364449E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.882 | TFLOPs: 28.75 | 31: iteration 8080/ 16765 | consumed samples: 2068480 | consumed tokens: 4236247040 | elapsed time per iteration (s): 0.74 | learning rate: 1.153E-04 | global batch size: 256 | lm loss: 2.364664E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.598 | TFLOPs: 28.56 | 31: iteration 8090/ 16765 | consumed samples: 2071040 | consumed tokens: 4241489920 | elapsed time per iteration (s): 0.77 | learning rate: 1.151E-04 | global batch size: 256 | lm loss: 2.357872E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.487 | TFLOPs: 27.64 | 31: iteration 8100/ 16765 | consumed samples: 2073600 | consumed tokens: 4246732800 | elapsed time per iteration (s): 0.79 | learning rate: 1.149E-04 | global batch size: 256 | lm loss: 2.379913E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.918 | TFLOPs: 26.93 | 31: iteration 8110/ 16765 | consumed samples: 2076160 | consumed tokens: 4251975680 | elapsed time per iteration (s): 0.76 | learning rate: 1.147E-04 | global batch size: 256 | lm loss: 2.365740E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.790 | TFLOPs: 27.83 | 31: iteration 8120/ 16765 | consumed samples: 2078720 | consumed tokens: 4257218560 | elapsed time per iteration (s): 0.76 | learning rate: 1.146E-04 | global batch size: 256 | lm loss: 2.370489E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.099 | TFLOPs: 27.94 | 31: iteration 8130/ 16765 | consumed samples: 2081280 | consumed tokens: 4262461440 | elapsed time per iteration (s): 0.78 | learning rate: 1.144E-04 | global batch size: 256 | lm loss: 2.369264E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.593 | TFLOPs: 26.99 | 31: iteration 8140/ 16765 | consumed samples: 2083840 | consumed tokens: 4267704320 | elapsed time per iteration (s): 0.76 | learning rate: 1.142E-04 | global batch size: 256 | lm loss: 2.381943E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.719 | TFLOPs: 27.66 | 31: iteration 8150/ 16765 | consumed samples: 2086400 | consumed tokens: 4272947200 | elapsed time per iteration (s): 0.79 | learning rate: 1.141E-04 | global batch size: 256 | lm loss: 2.366771E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.713 | TFLOPs: 26.91 | 31: iteration 8160/ 16765 | consumed samples: 2088960 | consumed tokens: 4278190080 | elapsed time per iteration (s): 0.79 | learning rate: 1.139E-04 | global batch size: 256 | lm loss: 2.386573E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.242 | TFLOPs: 26.87 | 31: iteration 8170/ 16765 | consumed samples: 2091520 | consumed tokens: 4283432960 | elapsed time per iteration (s): 0.72 | learning rate: 1.137E-04 | global batch size: 256 | lm loss: 2.367980E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.147 | TFLOPs: 29.43 | 31: iteration 8180/ 16765 | consumed samples: 2094080 | consumed tokens: 4288675840 | elapsed time per iteration (s): 0.74 | learning rate: 1.136E-04 | global batch size: 256 | lm loss: 2.361662E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.421 | TFLOPs: 28.62 | 31: iteration 8190/ 16765 | consumed samples: 2096640 | consumed tokens: 4293918720 | elapsed time per iteration (s): 0.75 | learning rate: 1.134E-04 | global batch size: 256 | lm loss: 2.393265E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.412 | TFLOPs: 28.29 | 31: iteration 8200/ 16765 | consumed samples: 2099200 | consumed tokens: 4299161600 | elapsed time per iteration (s): 0.74 | learning rate: 1.132E-04 | global batch size: 256 | lm loss: 2.428814E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.549 | TFLOPs: 28.55 | 31: iteration 8210/ 16765 | consumed samples: 2101760 | consumed tokens: 4304404480 | elapsed time per iteration (s): 0.74 | learning rate: 1.131E-04 | global batch size: 256 | lm loss: 2.384939E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.977 | TFLOPs: 28.75 | 31: iteration 8220/ 16765 | consumed samples: 2104320 | consumed tokens: 4309647360 | elapsed time per iteration (s): 0.77 | learning rate: 1.129E-04 | global batch size: 256 | lm loss: 2.374148E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.976 | TFLOPs: 27.43 | 31: iteration 8230/ 16765 | consumed samples: 2106880 | consumed tokens: 4314890240 | elapsed time per iteration (s): 0.75 | learning rate: 1.127E-04 | global batch size: 256 | lm loss: 2.342527E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.109 | TFLOPs: 28.10 | 31: iteration 8240/ 16765 | consumed samples: 2109440 | consumed tokens: 4320133120 | elapsed time per iteration (s): 0.77 | learning rate: 1.126E-04 | global batch size: 256 | lm loss: 2.369902E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.387 | TFLOPs: 27.63 | 31: iteration 8250/ 16765 | consumed samples: 2112000 | consumed tokens: 4325376000 | elapsed time per iteration (s): 0.74 | learning rate: 1.124E-04 | global batch size: 256 | lm loss: 2.398380E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.023 | TFLOPs: 28.59 | 31: iteration 8260/ 16765 | consumed samples: 2114560 | consumed tokens: 4330618880 | elapsed time per iteration (s): 0.78 | learning rate: 1.122E-04 | global batch size: 256 | lm loss: 2.380019E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.406 | TFLOPs: 27.22 | 31: iteration 8270/ 16765 | consumed samples: 2117120 | consumed tokens: 4335861760 | elapsed time per iteration (s): 0.79 | learning rate: 1.120E-04 | global batch size: 256 | lm loss: 2.373101E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.481 | TFLOPs: 26.89 | 31: iteration 8280/ 16765 | consumed samples: 2119680 | consumed tokens: 4341104640 | elapsed time per iteration (s): 0.76 | learning rate: 1.119E-04 | global batch size: 256 | lm loss: 2.367603E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.900 | TFLOPs: 27.67 | 31: iteration 8290/ 16765 | consumed samples: 2122240 | consumed tokens: 4346347520 | elapsed time per iteration (s): 0.75 | learning rate: 1.117E-04 | global batch size: 256 | lm loss: 2.414512E+00 | grad norm: 0.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.318 | TFLOPs: 28.29 | 31: iteration 8300/ 16765 | consumed samples: 2124800 | consumed tokens: 4351590400 | elapsed time per iteration (s): 0.81 | learning rate: 1.115E-04 | global batch size: 256 | lm loss: 2.387208E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.629 | TFLOPs: 26.16 | 31: iteration 8310/ 16765 | consumed samples: 2127360 | consumed tokens: 4356833280 | elapsed time per iteration (s): 0.73 | learning rate: 1.114E-04 | global batch size: 256 | lm loss: 2.365189E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.273 | TFLOPs: 28.94 | 31: iteration 8320/ 16765 | consumed samples: 2129920 | consumed tokens: 4362076160 | elapsed time per iteration (s): 0.72 | learning rate: 1.112E-04 | global batch size: 256 | lm loss: 2.405800E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.348 | TFLOPs: 29.28 | 31: iteration 8330/ 16765 | consumed samples: 2132480 | consumed tokens: 4367319040 | elapsed time per iteration (s): 0.75 | learning rate: 1.110E-04 | global batch size: 256 | lm loss: 2.399392E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.774 | TFLOPs: 28.32 | 31: iteration 8340/ 16765 | consumed samples: 2135040 | consumed tokens: 4372561920 | elapsed time per iteration (s): 0.78 | learning rate: 1.109E-04 | global batch size: 256 | lm loss: 2.399617E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.085 | TFLOPs: 27.11 | 31: iteration 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340.109 | TFLOPs: 28.10 | 31: iteration 8380/ 16765 | consumed samples: 2145280 | consumed tokens: 4393533440 | elapsed time per iteration (s): 0.79 | learning rate: 1.102E-04 | global batch size: 256 | lm loss: 2.368589E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.733 | TFLOPs: 26.91 | 31: iteration 8390/ 16765 | consumed samples: 2147840 | consumed tokens: 4398776320 | elapsed time per iteration (s): 0.78 | learning rate: 1.100E-04 | global batch size: 256 | lm loss: 2.364680E+00 | grad norm: 0.216 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.579 | TFLOPs: 27.15 | 31: iteration 8400/ 16765 | consumed samples: 2150400 | consumed tokens: 4404019200 | elapsed time per iteration (s): 0.73 | learning rate: 1.099E-04 | global batch size: 256 | lm loss: 2.347067E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.529 | TFLOPs: 29.13 | 31: iteration 8410/ 16765 | consumed samples: 2152960 | consumed tokens: 4409262080 | elapsed time per iteration (s): 0.78 | learning rate: 1.097E-04 | global batch size: 256 | lm loss: 2.330191E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.030 | TFLOPs: 27.10 | 31: iteration 8420/ 16765 | consumed samples: 2155520 | consumed tokens: 4414504960 | elapsed time per iteration (s): 0.78 | learning rate: 1.095E-04 | global batch size: 256 | lm loss: 2.351751E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.607 | TFLOPs: 27.15 | 31: iteration 8430/ 16765 | consumed samples: 2158080 | consumed tokens: 4419747840 | elapsed time per iteration (s): 0.75 | learning rate: 1.093E-04 | global batch size: 256 | lm loss: 2.383069E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.750 | TFLOPs: 28.24 | 31: iteration 8440/ 16765 | consumed samples: 2160640 | consumed tokens: 4424990720 | elapsed time per iteration (s): 0.76 | learning rate: 1.092E-04 | global batch size: 256 | lm loss: 2.361208E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.824 | TFLOPs: 27.91 | 31: iteration 8450/ 16765 | consumed samples: 2163200 | consumed tokens: 4430233600 | elapsed time per iteration (s): 0.74 | learning rate: 1.090E-04 | global batch size: 256 | lm loss: 2.371855E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.102 | TFLOPs: 28.76 | 31: iteration 8460/ 16765 | consumed samples: 2165760 | consumed tokens: 4435476480 | elapsed time per iteration (s): 0.81 | learning rate: 1.088E-04 | global batch size: 256 | lm loss: 2.393456E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.505 | TFLOPs: 25.99 | 31: iteration 8470/ 16765 | consumed samples: 2168320 | consumed tokens: 4440719360 | elapsed time per iteration (s): 0.75 | learning rate: 1.087E-04 | global batch size: 256 | lm loss: 2.355961E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.889 | TFLOPs: 28.33 | 31: iteration 8480/ 16765 | consumed samples: 2170880 | consumed tokens: 4445962240 | elapsed time per iteration (s): 0.77 | learning rate: 1.085E-04 | global batch size: 256 | lm loss: 2.352628E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.503 | TFLOPs: 27.47 | 31: iteration 8490/ 16765 | consumed samples: 2173440 | consumed tokens: 4451205120 | elapsed time per iteration (s): 0.76 | learning rate: 1.083E-04 | global batch size: 256 | lm loss: 2.379585E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.386 | TFLOPs: 27.80 | 31: iteration 8500/ 16765 | consumed samples: 2176000 | consumed tokens: 4456448000 | elapsed time per iteration (s): 0.77 | learning rate: 1.082E-04 | global batch size: 256 | lm loss: 2.382081E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.673 | TFLOPs: 27.32 | 31: iteration 8510/ 16765 | consumed samples: 2178560 | consumed tokens: 4461690880 | elapsed time per iteration (s): 0.73 | learning rate: 1.080E-04 | global batch size: 256 | lm loss: 2.321087E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.865 | TFLOPs: 29.07 | 31: iteration 8520/ 16765 | consumed samples: 2181120 | consumed tokens: 4466933760 | elapsed time per iteration (s): 0.74 | learning rate: 1.078E-04 | global batch size: 256 | lm loss: 2.345932E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.415 | TFLOPs: 28.54 | 31: iteration 8530/ 16765 | consumed samples: 2183680 | consumed tokens: 4472176640 | elapsed time per iteration (s): 0.79 | learning rate: 1.077E-04 | global batch size: 256 | lm loss: 2.349518E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.041 | TFLOPs: 26.94 | 31: iteration 8540/ 16765 | consumed samples: 2186240 | consumed tokens: 4477419520 | elapsed time per iteration (s): 0.82 | learning rate: 1.075E-04 | global batch size: 256 | lm loss: 2.359592E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.302 | TFLOPs: 25.72 | 31: iteration 8550/ 16765 | consumed samples: 2188800 | consumed tokens: 4482662400 | elapsed time per iteration (s): 0.76 | learning rate: 1.073E-04 | global batch size: 256 | lm loss: 2.357241E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.189 | TFLOPs: 27.86 | 31: iteration 8560/ 16765 | consumed samples: 2191360 | consumed tokens: 4487905280 | elapsed time per iteration (s): 0.74 | learning rate: 1.072E-04 | global batch size: 256 | lm loss: 2.366029E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.466 | TFLOPs: 28.55 | 31: iteration 8570/ 16765 | consumed samples: 2193920 | consumed tokens: 4493148160 | elapsed time per iteration (s): 0.75 | learning rate: 1.070E-04 | global batch size: 256 | lm loss: 2.360877E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.722 | TFLOPs: 28.32 | 31: iteration 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356.536 | TFLOPs: 29.46 | 31: iteration 8610/ 16765 | consumed samples: 2204160 | consumed tokens: 4514119680 | elapsed time per iteration (s): 0.77 | learning rate: 1.063E-04 | global batch size: 256 | lm loss: 2.353609E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.453 | TFLOPs: 27.47 | 31: iteration 8620/ 16765 | consumed samples: 2206720 | consumed tokens: 4519362560 | elapsed time per iteration (s): 0.72 | learning rate: 1.061E-04 | global batch size: 256 | lm loss: 2.390000E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.542 | TFLOPs: 29.38 | 31: iteration 8630/ 16765 | consumed samples: 2209280 | consumed tokens: 4524605440 | elapsed time per iteration (s): 0.73 | learning rate: 1.060E-04 | global batch size: 256 | lm loss: 2.346534E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.837 | TFLOPs: 29.07 | 31: iteration 8640/ 16765 | consumed samples: 2211840 | consumed tokens: 4529848320 | elapsed time per iteration (s): 0.79 | learning rate: 1.058E-04 | global batch size: 256 | lm loss: 2.338840E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.635 | TFLOPs: 26.82 | 31: iteration 8650/ 16765 | consumed samples: 2214400 | consumed tokens: 4535091200 | elapsed time per iteration (s): 0.74 | learning rate: 1.056E-04 | global batch size: 256 | lm loss: 2.331528E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.696 | TFLOPs: 28.65 | 31: iteration 8660/ 16765 | consumed samples: 2216960 | consumed tokens: 4540334080 | elapsed time per iteration (s): 0.75 | learning rate: 1.055E-04 | global batch size: 256 | lm loss: 2.365221E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.403 | TFLOPs: 28.04 | 31: iteration 8670/ 16765 | consumed samples: 2219520 | consumed tokens: 4545576960 | elapsed time per iteration (s): 0.75 | learning rate: 1.053E-04 | global batch size: 256 | lm loss: 2.355261E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.211 | TFLOPs: 28.11 | 31: iteration 8680/ 16765 | consumed samples: 2222080 | consumed tokens: 4550819840 | elapsed time per iteration (s): 0.81 | learning rate: 1.051E-04 | global batch size: 256 | lm loss: 2.354003E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.464 | TFLOPs: 26.15 | 31: iteration 8690/ 16765 | consumed samples: 2224640 | consumed tokens: 4556062720 | elapsed time per iteration (s): 0.73 | learning rate: 1.050E-04 | global batch size: 256 | lm loss: 2.343170E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.750 | TFLOPs: 28.90 | 31: iteration 8700/ 16765 | consumed samples: 2227200 | consumed tokens: 4561305600 | elapsed time per iteration (s): 0.73 | learning rate: 1.048E-04 | global batch size: 256 | lm loss: 2.351988E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.486 | TFLOPs: 29.04 | 31: iteration 8710/ 16765 | consumed samples: 2229760 | consumed tokens: 4566548480 | elapsed time per iteration (s): 0.74 | learning rate: 1.046E-04 | global batch size: 256 | lm loss: 2.337119E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.304 | TFLOPs: 28.45 | 31: iteration 8720/ 16765 | consumed samples: 2232320 | consumed tokens: 4571791360 | elapsed time per iteration (s): 0.75 | learning rate: 1.045E-04 | global batch size: 256 | lm loss: 2.338052E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.808 | TFLOPs: 28.08 | 31: iteration 8730/ 16765 | consumed samples: 2234880 | consumed tokens: 4577034240 | elapsed time per iteration (s): 0.73 | learning rate: 1.043E-04 | global batch size: 256 | lm loss: 2.379915E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.477 | TFLOPs: 28.88 | 31: iteration 8740/ 16765 | consumed samples: 2237440 | consumed tokens: 4582277120 | elapsed time per iteration (s): 0.75 | learning rate: 1.041E-04 | global batch size: 256 | lm loss: 2.325493E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.857 | TFLOPs: 28.33 | 31: iteration 8750/ 16765 | consumed samples: 2240000 | consumed tokens: 4587520000 | elapsed time per iteration (s): 0.77 | learning rate: 1.039E-04 | global batch size: 256 | lm loss: 2.367849E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.916 | TFLOPs: 27.59 | 31: iteration 8760/ 16765 | consumed samples: 2242560 | consumed tokens: 4592762880 | elapsed time per iteration (s): 0.74 | learning rate: 1.038E-04 | global batch size: 256 | lm loss: 2.356296E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.241 | TFLOPs: 28.77 | 31: iteration 8770/ 16765 | consumed samples: 2245120 | consumed tokens: 4598005760 | elapsed time per iteration (s): 0.74 | learning rate: 1.036E-04 | global batch size: 256 | lm loss: 2.328459E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.424 | TFLOPs: 28.46 | 31: iteration 8780/ 16765 | consumed samples: 2247680 | consumed tokens: 4603248640 | elapsed time per iteration (s): 0.74 | learning rate: 1.034E-04 | global batch size: 256 | lm loss: 2.346739E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.065 | TFLOPs: 28.43 | 31: iteration 8790/ 16765 | consumed samples: 2250240 | consumed tokens: 4608491520 | elapsed time per iteration (s): 0.73 | learning rate: 1.033E-04 | global batch size: 256 | lm loss: 2.337262E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.086 | TFLOPs: 28.93 | 31: iteration 8800/ 16765 | consumed samples: 2252800 | consumed tokens: 4613734400 | elapsed time per iteration (s): 0.74 | learning rate: 1.031E-04 | global batch size: 256 | lm loss: 2.359694E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.972 | TFLOPs: 28.50 | 31: iteration 8810/ 16765 | consumed samples: 2255360 | consumed tokens: 4618977280 | elapsed time per iteration (s): 0.76 | learning rate: 1.029E-04 | global batch size: 256 | lm loss: 2.339381E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.724 | TFLOPs: 27.82 | 31: iteration 8820/ 16765 | consumed samples: 2257920 | consumed tokens: 4624220160 | elapsed time per iteration (s): 0.74 | learning rate: 1.028E-04 | global batch size: 256 | lm loss: 2.358016E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.925 | TFLOPs: 28.50 | 31: iteration 8830/ 16765 | consumed samples: 2260480 | consumed tokens: 4629463040 | elapsed time per iteration (s): 0.74 | learning rate: 1.026E-04 | global batch size: 256 | lm loss: 2.359073E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.942 | TFLOPs: 28.58 | 31: iteration 8840/ 16765 | consumed samples: 2263040 | consumed tokens: 4634705920 | elapsed time per iteration (s): 0.79 | learning rate: 1.024E-04 | global batch size: 256 | lm loss: 2.364278E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.302 | TFLOPs: 26.88 | 31: iteration 8850/ 16765 | consumed samples: 2265600 | consumed tokens: 4639948800 | elapsed time per iteration (s): 0.79 | learning rate: 1.023E-04 | global batch size: 256 | lm loss: 2.346032E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.464 | TFLOPs: 26.81 | 31: iteration 8860/ 16765 | consumed samples: 2268160 | consumed tokens: 4645191680 | elapsed time per iteration (s): 0.73 | learning rate: 1.021E-04 | global batch size: 256 | lm loss: 2.357050E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.032 | TFLOPs: 29.01 | 31: iteration 8870/ 16765 | consumed samples: 2270720 | consumed tokens: 4650434560 | elapsed time per iteration (s): 0.73 | learning rate: 1.019E-04 | global batch size: 256 | lm loss: 2.334544E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.072 | TFLOPs: 29.01 | 31: iteration 8880/ 16765 | consumed samples: 2273280 | consumed tokens: 4655677440 | elapsed time per iteration (s): 0.73 | learning rate: 1.018E-04 | global batch size: 256 | lm loss: 2.348045E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.283 | TFLOPs: 28.94 | 31: iteration 8890/ 16765 | consumed samples: 2275840 | consumed tokens: 4660920320 | elapsed time per iteration (s): 0.77 | learning rate: 1.016E-04 | global batch size: 256 | lm loss: 2.326444E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.926 | TFLOPs: 27.34 | 31: iteration 8900/ 16765 | consumed samples: 2278400 | consumed tokens: 4666163200 | elapsed time per iteration (s): 0.75 | learning rate: 1.014E-04 | global batch size: 256 | lm loss: 2.357560E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.338 | TFLOPs: 28.20 | 31: iteration 8910/ 16765 | consumed samples: 2280960 | consumed tokens: 4671406080 | elapsed time per iteration (s): 0.72 | learning rate: 1.013E-04 | global batch size: 256 | lm loss: 2.348181E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.161 | TFLOPs: 29.35 | 31: iteration 8920/ 16765 | consumed samples: 2283520 | consumed tokens: 4676648960 | elapsed time per iteration (s): 0.75 | learning rate: 1.011E-04 | global batch size: 256 | lm loss: 2.329367E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.367 | TFLOPs: 28.37 | 31: iteration 8930/ 16765 | consumed samples: 2286080 | consumed tokens: 4681891840 | elapsed time per iteration (s): 0.72 | learning rate: 1.009E-04 | global batch size: 256 | lm loss: 2.337801E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.968 | TFLOPs: 29.58 | 31: iteration 8940/ 16765 | consumed samples: 2288640 | consumed tokens: 4687134720 | elapsed time per iteration (s): 0.78 | learning rate: 1.008E-04 | global batch size: 256 | lm loss: 2.336968E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.648 | TFLOPs: 27.24 | 31: iteration 8950/ 16765 | consumed samples: 2291200 | consumed tokens: 4692377600 | elapsed time per iteration (s): 0.73 | learning rate: 1.006E-04 | global batch size: 256 | lm loss: 2.346928E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.577 | TFLOPs: 28.80 | 31: iteration 8960/ 16765 | consumed samples: 2293760 | consumed tokens: 4697620480 | elapsed time per iteration (s): 0.77 | learning rate: 1.004E-04 | global batch size: 256 | lm loss: 2.338432E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.518 | TFLOPs: 27.48 | 31: iteration 8970/ 16765 | consumed samples: 2296320 | consumed tokens: 4702863360 | elapsed time per iteration (s): 0.76 | learning rate: 1.002E-04 | global batch size: 256 | lm loss: 2.345056E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.325 | TFLOPs: 27.96 | 31: iteration 8980/ 16765 | consumed samples: 2298880 | consumed tokens: 4708106240 | elapsed time per iteration (s): 0.73 | learning rate: 1.001E-04 | global batch size: 256 | lm loss: 2.327029E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.750 | TFLOPs: 28.98 | 31: iteration 8990/ 16765 | consumed samples: 2301440 | consumed tokens: 4713349120 | elapsed time per iteration (s): 0.75 | learning rate: 9.991E-05 | global batch size: 256 | lm loss: 2.332410E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.168 | TFLOPs: 28.03 | 31: iteration 9000/ 16765 | consumed samples: 2304000 | consumed tokens: 4718592000 | elapsed time per iteration (s): 0.74 | learning rate: 9.974E-05 | global batch size: 256 | lm loss: 2.337907E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.377 | TFLOPs: 28.70 | 31: ------------------------------------------------------------------------------------------ 31: valid loss at iteration 9000 | lm loss value: 2.240384E+00 | lm loss PPL: 9.396935E+00 | 31: ------------------------------------------------------------------------------------------ 31: iteration 9010/ 16765 | consumed samples: 2306560 | consumed tokens: 4723834880 | elapsed time per iteration (s): 0.75 | learning rate: 9.958E-05 | global batch size: 256 | lm loss: 2.356566E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.568 | TFLOPs: 28.31 | 31: iteration 9020/ 16765 | consumed samples: 2309120 | consumed tokens: 4729077760 | elapsed time per iteration (s): 0.75 | learning rate: 9.941E-05 | global batch size: 256 | lm loss: 2.331225E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.520 | TFLOPs: 28.22 | 31: iteration 9030/ 16765 | consumed samples: 2311680 | consumed tokens: 4734320640 | elapsed time per iteration (s): 0.73 | learning rate: 9.924E-05 | global batch size: 256 | lm loss: 2.362111E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.969 | TFLOPs: 28.92 | 31: iteration 9040/ 16765 | consumed samples: 2314240 | consumed tokens: 4739563520 | elapsed time per iteration (s): 0.72 | learning rate: 9.907E-05 | global batch size: 256 | lm loss: 2.352504E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.738 | TFLOPs: 29.56 | 31: iteration 9050/ 16765 | consumed samples: 2316800 | consumed tokens: 4744806400 | elapsed time per iteration (s): 0.74 | learning rate: 9.891E-05 | global batch size: 256 | lm loss: 2.367726E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.951 | TFLOPs: 28.67 | 31: iteration 9060/ 16765 | consumed samples: 2319360 | consumed tokens: 4750049280 | elapsed time per iteration (s): 0.74 | learning rate: 9.874E-05 | global batch size: 256 | lm loss: 2.362727E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.522 | TFLOPs: 28.63 | 31: iteration 9070/ 16765 | consumed samples: 2321920 | consumed tokens: 4755292160 | elapsed time per iteration (s): 0.74 | learning rate: 9.857E-05 | global batch size: 256 | lm loss: 2.347732E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.966 | TFLOPs: 28.59 | 31: iteration 9080/ 16765 | consumed samples: 2324480 | consumed tokens: 4760535040 | elapsed time per iteration (s): 0.78 | learning rate: 9.840E-05 | global batch size: 256 | lm loss: 2.374421E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.183 | TFLOPs: 27.03 | 31: iteration 9090/ 16765 | consumed samples: 2327040 | consumed tokens: 4765777920 | elapsed time per iteration (s): 0.73 | learning rate: 9.824E-05 | global batch size: 256 | lm loss: 2.331560E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.739 | TFLOPs: 28.82 | 31: iteration 9100/ 16765 | consumed samples: 2329600 | consumed tokens: 4771020800 | elapsed time per iteration (s): 0.74 | learning rate: 9.807E-05 | global batch size: 256 | lm loss: 2.360398E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.682 | TFLOPs: 28.73 | 31: iteration 9110/ 16765 | consumed samples: 2332160 | consumed tokens: 4776263680 | elapsed time per iteration (s): 0.73 | learning rate: 9.790E-05 | global batch size: 256 | lm loss: 2.328830E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.420 | TFLOPs: 29.04 | 31: iteration 9120/ 16765 | consumed samples: 2334720 | consumed tokens: 4781506560 | elapsed time per iteration (s): 0.74 | learning rate: 9.773E-05 | global batch size: 256 | lm loss: 2.354278E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.640 | TFLOPs: 28.73 | 31: iteration 9130/ 16765 | consumed samples: 2337280 | consumed tokens: 4786749440 | elapsed time per iteration (s): 0.76 | learning rate: 9.757E-05 | global batch size: 256 | lm loss: 2.348824E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.130 | TFLOPs: 27.94 | 31: iteration 9140/ 16765 | consumed samples: 2339840 | consumed tokens: 4791992320 | elapsed time per iteration (s): 0.77 | learning rate: 9.740E-05 | global batch size: 256 | lm loss: 2.336566E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.176 | TFLOPs: 27.36 | 31: iteration 9150/ 16765 | consumed samples: 2342400 | consumed tokens: 4797235200 | elapsed time per iteration (s): 0.79 | learning rate: 9.723E-05 | global batch size: 256 | lm loss: 2.351809E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.782 | TFLOPs: 26.75 | 31: iteration 9160/ 16765 | consumed samples: 2344960 | consumed tokens: 4802478080 | elapsed time per iteration (s): 0.75 | learning rate: 9.707E-05 | global batch size: 256 | lm loss: 2.358591E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.057 | TFLOPs: 28.35 | 31: iteration 9170/ 16765 | consumed samples: 2347520 | consumed tokens: 4807720960 | elapsed time per iteration (s): 0.74 | learning rate: 9.690E-05 | global batch size: 256 | lm loss: 2.395279E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.485 | TFLOPs: 28.46 | 31: iteration 9180/ 16765 | consumed samples: 2350080 | consumed tokens: 4812963840 | elapsed time per iteration (s): 0.75 | learning rate: 9.673E-05 | global batch size: 256 | lm loss: 2.351851E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.908 | TFLOPs: 28.25 | 31: iteration 9190/ 16765 | consumed samples: 2352640 | consumed tokens: 4818206720 | elapsed time per iteration (s): 0.72 | learning rate: 9.657E-05 | global batch size: 256 | lm loss: 2.353604E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.906 | TFLOPs: 29.24 | 31: iteration 9200/ 16765 | consumed samples: 2355200 | consumed tokens: 4823449600 | elapsed time per iteration (s): 0.74 | learning rate: 9.640E-05 | global batch size: 256 | lm loss: 2.339132E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.099 | TFLOPs: 28.68 | 31: iteration 9210/ 16765 | consumed samples: 2357760 | consumed tokens: 4828692480 | elapsed time per iteration (s): 0.78 | learning rate: 9.623E-05 | global batch size: 256 | lm loss: 2.335215E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.413 | TFLOPs: 27.14 | 31: iteration 9220/ 16765 | consumed samples: 2360320 | consumed tokens: 4833935360 | elapsed time per iteration (s): 0.82 | learning rate: 9.606E-05 | global batch size: 256 | lm loss: 2.293461E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.127 | TFLOPs: 25.71 | 31: iteration 9230/ 16765 | consumed samples: 2362880 | consumed tokens: 4839178240 | elapsed time per iteration (s): 0.75 | learning rate: 9.590E-05 | global batch size: 256 | lm loss: 2.354899E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.726 | TFLOPs: 28.07 | 31: iteration 9240/ 16765 | consumed samples: 2365440 | consumed tokens: 4844421120 | elapsed time per iteration (s): 0.76 | learning rate: 9.573E-05 | global batch size: 256 | lm loss: 2.339988E+00 | grad norm: 0.205 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.834 | TFLOPs: 27.75 | 31: iteration 9250/ 16765 | consumed samples: 2368000 | consumed tokens: 4849664000 | elapsed time per iteration (s): 0.75 | learning rate: 9.556E-05 | global batch size: 256 | lm loss: 2.335877E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.724 | TFLOPs: 28.32 | 31: iteration 9260/ 16765 | consumed samples: 2370560 | consumed tokens: 4854906880 | elapsed time per iteration (s): 0.74 | learning rate: 9.540E-05 | global batch size: 256 | lm loss: 2.367179E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.433 | TFLOPs: 28.63 | 31: iteration 9270/ 16765 | consumed samples: 2373120 | consumed tokens: 4860149760 | elapsed time per iteration (s): 0.75 | learning rate: 9.523E-05 | global batch size: 256 | lm loss: 2.354496E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.164 | TFLOPs: 28.27 | 31: iteration 9280/ 16765 | consumed samples: 2375680 | consumed tokens: 4865392640 | elapsed time per iteration (s): 0.78 | learning rate: 9.506E-05 | global batch size: 256 | lm loss: 2.354797E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.349 | TFLOPs: 27.13 | 31: iteration 9290/ 16765 | consumed samples: 2378240 | consumed tokens: 4870635520 | elapsed time per iteration (s): 0.77 | learning rate: 9.490E-05 | global batch size: 256 | lm loss: 2.340206E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.968 | TFLOPs: 27.60 | 31: iteration 9300/ 16765 | consumed samples: 2380800 | consumed tokens: 4875878400 | elapsed time per iteration (s): 0.73 | learning rate: 9.473E-05 | global batch size: 256 | lm loss: 2.324103E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.729 | TFLOPs: 29.15 | 31: iteration 9310/ 16765 | consumed samples: 2383360 | consumed tokens: 4881121280 | elapsed time per iteration (s): 0.79 | learning rate: 9.457E-05 | global batch size: 256 | lm loss: 2.341177E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.062 | TFLOPs: 26.78 | 31: iteration 9320/ 16765 | consumed samples: 2385920 | consumed tokens: 4886364160 | elapsed time per iteration (s): 0.75 | learning rate: 9.440E-05 | global batch size: 256 | lm loss: 2.338838E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.098 | TFLOPs: 28.18 | 31: iteration 9330/ 16765 | consumed samples: 2388480 | consumed tokens: 4891607040 | elapsed time per iteration (s): 0.77 | learning rate: 9.423E-05 | global batch size: 256 | lm loss: 2.367025E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.217 | TFLOPs: 27.37 | 31: iteration 9340/ 16765 | consumed samples: 2391040 | consumed tokens: 4896849920 | elapsed time per iteration (s): 0.78 | learning rate: 9.407E-05 | global batch size: 256 | lm loss: 2.350260E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.185 | TFLOPs: 27.03 | 31: iteration 9350/ 16765 | consumed samples: 2393600 | consumed tokens: 4902092800 | elapsed time per iteration (s): 0.77 | learning rate: 9.390E-05 | global batch size: 256 | lm loss: 2.352697E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.483 | TFLOPs: 27.47 | 31: iteration 9360/ 16765 | consumed samples: 2396160 | consumed tokens: 4907335680 | elapsed time per iteration (s): 0.88 | learning rate: 9.373E-05 | global batch size: 256 | lm loss: 2.309072E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 291.835 | TFLOPs: 24.11 | 31: iteration 9370/ 16765 | consumed samples: 2398720 | consumed tokens: 4912578560 | elapsed time per iteration (s): 0.78 | learning rate: 9.357E-05 | global batch size: 256 | lm loss: 2.332119E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.035 | TFLOPs: 27.19 | 31: iteration 9380/ 16765 | consumed samples: 2401280 | consumed tokens: 4917821440 | elapsed time per iteration (s): 0.81 | learning rate: 9.340E-05 | global batch size: 256 | lm loss: 2.351162E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.184 | TFLOPs: 26.13 | 31: iteration 9390/ 16765 | consumed samples: 2403840 | consumed tokens: 4923064320 | elapsed time per iteration (s): 0.77 | learning rate: 9.324E-05 | global batch size: 256 | lm loss: 2.317975E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.637 | TFLOPs: 27.32 | 31: iteration 9400/ 16765 | consumed samples: 2406400 | consumed tokens: 4928307200 | elapsed time per iteration (s): 0.75 | learning rate: 9.307E-05 | global batch size: 256 | lm loss: 2.344614E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.752 | TFLOPs: 28.07 | 31: iteration 9410/ 16765 | consumed samples: 2408960 | consumed tokens: 4933550080 | elapsed time per iteration (s): 0.76 | learning rate: 9.291E-05 | global batch size: 256 | lm loss: 2.299384E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.440 | TFLOPs: 27.80 | 31: iteration 9420/ 16765 | consumed samples: 2411520 | consumed tokens: 4938792960 | elapsed time per iteration (s): 0.75 | learning rate: 9.274E-05 | global batch size: 256 | lm loss: 2.357439E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.341 | TFLOPs: 28.37 | 31: iteration 9430/ 16765 | consumed samples: 2414080 | consumed tokens: 4944035840 | elapsed time per iteration (s): 0.78 | learning rate: 9.257E-05 | global batch size: 256 | lm loss: 2.324502E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.892 | TFLOPs: 27.18 | 31: iteration 9440/ 16765 | consumed samples: 2416640 | consumed tokens: 4949278720 | elapsed time per iteration (s): 0.76 | learning rate: 9.241E-05 | global batch size: 256 | lm loss: 2.349460E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.220 | TFLOPs: 27.95 | 31: iteration 9450/ 16765 | consumed samples: 2419200 | consumed tokens: 4954521600 | elapsed time per iteration (s): 0.76 | learning rate: 9.224E-05 | global batch size: 256 | lm loss: 2.381149E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.874 | TFLOPs: 27.75 | 31: iteration 9460/ 16765 | consumed samples: 2421760 | consumed tokens: 4959764480 | elapsed time per iteration (s): 0.76 | learning rate: 9.208E-05 | global batch size: 256 | lm loss: 2.353098E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.721 | TFLOPs: 27.82 | 31: iteration 9470/ 16765 | consumed samples: 2424320 | consumed tokens: 4965007360 | elapsed time per iteration (s): 0.79 | learning rate: 9.191E-05 | global batch size: 256 | lm loss: 2.357447E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.664 | TFLOPs: 26.66 | 31: iteration 9480/ 16765 | consumed samples: 2426880 | consumed tokens: 4970250240 | elapsed time per iteration (s): 0.78 | learning rate: 9.175E-05 | global batch size: 256 | lm loss: 2.309240E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.007 | TFLOPs: 27.19 | 31: iteration 9490/ 16765 | consumed samples: 2429440 | consumed tokens: 4975493120 | elapsed time per iteration (s): 0.78 | learning rate: 9.158E-05 | global batch size: 256 | lm loss: 2.312711E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.527 | TFLOPs: 27.23 | 31: iteration 9500/ 16765 | consumed samples: 2432000 | consumed tokens: 4980736000 | elapsed time per iteration (s): 0.79 | learning rate: 9.142E-05 | global batch size: 256 | lm loss: 2.342770E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.408 | TFLOPs: 26.89 | 31: iteration 9510/ 16765 | consumed samples: 2434560 | consumed tokens: 4985978880 | elapsed time per iteration (s): 0.77 | learning rate: 9.125E-05 | global batch size: 256 | lm loss: 2.339050E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.011 | 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iterations: 0 | samples per second: 325.031 | TFLOPs: 26.86 | 31: iteration 9550/ 16765 | consumed samples: 2444800 | consumed tokens: 5006950400 | elapsed time per iteration (s): 0.76 | learning rate: 9.059E-05 | global batch size: 256 | lm loss: 2.346334E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.090 | TFLOPs: 27.69 | 31: iteration 9560/ 16765 | consumed samples: 2447360 | consumed tokens: 5012193280 | elapsed time per iteration (s): 0.77 | learning rate: 9.043E-05 | global batch size: 256 | lm loss: 2.341770E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.814 | TFLOPs: 27.42 | 31: iteration 9570/ 16765 | consumed samples: 2449920 | consumed tokens: 5017436160 | elapsed time per iteration (s): 0.78 | learning rate: 9.026E-05 | global batch size: 256 | lm loss: 2.278364E+00 | grad norm: 0.181 | num zeros: 0.0 | number 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grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.513 | TFLOPs: 27.64 | 31: iteration 9610/ 16765 | consumed samples: 2460160 | consumed tokens: 5038407680 | elapsed time per iteration (s): 0.77 | learning rate: 8.960E-05 | global batch size: 256 | lm loss: 2.316160E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.894 | TFLOPs: 27.51 | 31: iteration 9620/ 16765 | consumed samples: 2462720 | consumed tokens: 5043650560 | elapsed time per iteration (s): 0.75 | learning rate: 8.944E-05 | global batch size: 256 | lm loss: 2.372186E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.363 | TFLOPs: 28.04 | 31: iteration 9630/ 16765 | consumed samples: 2465280 | consumed tokens: 5048893440 | elapsed time per iteration (s): 0.78 | learning rate: 8.927E-05 | global batch size: 256 | lm loss: 2.346307E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.088 | TFLOPs: 27.11 | 31: iteration 9640/ 16765 | consumed samples: 2467840 | consumed tokens: 5054136320 | elapsed time per iteration (s): 0.77 | learning rate: 8.911E-05 | global batch size: 256 | lm loss: 2.304160E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.464 | TFLOPs: 27.31 | 31: iteration 9650/ 16765 | consumed samples: 2470400 | consumed tokens: 5059379200 | elapsed time per iteration (s): 0.78 | learning rate: 8.895E-05 | global batch size: 256 | lm loss: 2.341547E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.139 | TFLOPs: 26.95 | 31: iteration 9660/ 16765 | consumed samples: 2472960 | consumed tokens: 5064622080 | elapsed time per iteration (s): 0.75 | learning rate: 8.878E-05 | global batch size: 256 | lm loss: 2.343616E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.830 | TFLOPs: 28.33 | 31: iteration 9670/ 16765 | consumed samples: 2475520 | consumed tokens: 5069864960 | elapsed time per iteration (s): 0.75 | learning rate: 8.862E-05 | global batch size: 256 | lm loss: 2.314701E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.272 | TFLOPs: 28.36 | 31: iteration 9680/ 16765 | consumed samples: 2478080 | consumed tokens: 5075107840 | elapsed time per iteration (s): 0.75 | learning rate: 8.845E-05 | global batch size: 256 | lm loss: 2.317107E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.022 | TFLOPs: 28.18 | 31: iteration 9690/ 16765 | consumed samples: 2480640 | consumed tokens: 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iterations: 0 | samples per second: 339.731 | TFLOPs: 28.07 | 31: iteration 9780/ 16765 | consumed samples: 2503680 | consumed tokens: 5127536640 | elapsed time per iteration (s): 0.75 | learning rate: 8.682E-05 | global batch size: 256 | lm loss: 2.355112E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.341 | TFLOPs: 28.37 | 31: iteration 9790/ 16765 | consumed samples: 2506240 | consumed tokens: 5132779520 | elapsed time per iteration (s): 0.75 | learning rate: 8.666E-05 | global batch size: 256 | lm loss: 2.314123E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.490 | TFLOPs: 28.38 | 31: iteration 9800/ 16765 | consumed samples: 2508800 | consumed tokens: 5138022400 | elapsed time per iteration (s): 0.75 | learning rate: 8.649E-05 | global batch size: 256 | lm loss: 2.341403E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.195 | TFLOPs: 28.28 | 31: iteration 9810/ 16765 | consumed samples: 2511360 | consumed tokens: 5143265280 | elapsed time per iteration (s): 0.79 | learning rate: 8.633E-05 | global batch size: 256 | lm loss: 2.337052E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.819 | TFLOPs: 26.92 | 31: iteration 9820/ 16765 | consumed samples: 2513920 | consumed tokens: 5148508160 | elapsed time per iteration (s): 0.76 | learning rate: 8.617E-05 | global batch size: 256 | lm loss: 2.310204E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.054 | TFLOPs: 27.93 | 31: iteration 9830/ 16765 | consumed samples: 2516480 | consumed tokens: 5153751040 | elapsed time per iteration (s): 0.75 | learning rate: 8.600E-05 | global batch size: 256 | lm loss: 2.335729E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.474 | TFLOPs: 28.13 | 31: iteration 9840/ 16765 | consumed samples: 2519040 | consumed tokens: 5158993920 | elapsed time per iteration (s): 0.75 | learning rate: 8.584E-05 | global batch size: 256 | lm loss: 2.291732E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.597 | TFLOPs: 28.23 | 31: iteration 9850/ 16765 | consumed samples: 2521600 | consumed tokens: 5164236800 | elapsed time per iteration (s): 0.77 | learning rate: 8.568E-05 | global batch size: 256 | lm loss: 2.333108E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.530 | TFLOPs: 27.31 | 31: iteration 9860/ 16765 | consumed samples: 2524160 | consumed tokens: 5169479680 | elapsed time per iteration (s): 0.76 | learning rate: 8.552E-05 | global batch size: 256 | lm loss: 2.347185E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.528 | TFLOPs: 27.89 | 31: iteration 9870/ 16765 | consumed samples: 2526720 | consumed tokens: 5174722560 | elapsed time per iteration (s): 0.99 | learning rate: 8.535E-05 | global batch size: 256 | lm loss: 2.293916E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 258.974 | TFLOPs: 21.40 | 31: iteration 9880/ 16765 | consumed samples: 2529280 | consumed tokens: 5179965440 | elapsed time per iteration (s): 0.81 | learning rate: 8.519E-05 | global batch size: 256 | lm loss: 2.322200E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.236 | TFLOPs: 26.21 | 31: iteration 9890/ 16765 | consumed samples: 2531840 | consumed tokens: 5185208320 | elapsed time per iteration (s): 0.76 | learning rate: 8.503E-05 | global batch size: 256 | lm loss: 2.356072E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.634 | TFLOPs: 27.98 | 31: iteration 9900/ 16765 | consumed samples: 2534400 | consumed tokens: 5190451200 | elapsed time per iteration (s): 0.77 | learning rate: 8.487E-05 | global batch size: 256 | lm loss: 2.350876E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.367 | TFLOPs: 27.63 | 31: iteration 9910/ 16765 | consumed samples: 2536960 | consumed tokens: 5195694080 | elapsed time per iteration (s): 0.79 | learning rate: 8.471E-05 | global batch size: 256 | lm loss: 2.336559E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.231 | TFLOPs: 26.79 | 31: iteration 9920/ 16765 | consumed samples: 2539520 | consumed tokens: 5200936960 | elapsed time per iteration (s): 0.76 | learning rate: 8.454E-05 | global batch size: 256 | lm loss: 2.361105E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.907 | TFLOPs: 28.00 | 31: iteration 9930/ 16765 | consumed samples: 2542080 | consumed tokens: 5206179840 | elapsed time per iteration (s): 0.80 | learning rate: 8.438E-05 | global batch size: 256 | lm loss: 2.332452E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.155 | TFLOPs: 26.54 | 31: iteration 9940/ 16765 | consumed samples: 2544640 | consumed tokens: 5211422720 | elapsed time per iteration (s): 0.79 | learning rate: 8.422E-05 | global batch size: 256 | lm loss: 2.309978E+00 | grad norm: 0.203 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.471 | TFLOPs: 26.73 | 31: iteration 9950/ 16765 | consumed samples: 2547200 | consumed tokens: 5216665600 | elapsed time per iteration (s): 0.75 | learning rate: 8.406E-05 | global batch size: 256 | lm loss: 2.306825E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.197 | TFLOPs: 28.36 | 31: iteration 9960/ 16765 | consumed samples: 2549760 | consumed tokens: 5221908480 | elapsed time per iteration (s): 0.73 | learning rate: 8.390E-05 | global batch size: 256 | lm loss: 2.335837E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.233 | TFLOPs: 29.02 | 31: iteration 9970/ 16765 | consumed samples: 2552320 | consumed tokens: 5227151360 | elapsed time per iteration (s): 0.75 | learning rate: 8.374E-05 | global batch size: 256 | lm loss: 2.295787E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.948 | TFLOPs: 28.34 | 31: iteration 9980/ 16765 | consumed samples: 2554880 | consumed tokens: 5232394240 | elapsed time per iteration (s): 0.74 | learning rate: 8.357E-05 | global batch size: 256 | lm loss: 2.344334E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.484 | TFLOPs: 28.55 | 31: iteration 9990/ 16765 | consumed samples: 2557440 | consumed tokens: 5237637120 | elapsed time per iteration (s): 0.77 | learning rate: 8.341E-05 | global batch size: 256 | lm loss: 2.343908E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.516 | TFLOPs: 27.31 | 0: [2022-11-28 15:20:06,489] [INFO] [logging.py:68:log_dist] [Rank 0] step=10000, skipped=0, lr=[8.325122166005799e-05, 8.325122166005799e-05, 8.325122166005799e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 10000/ 16765 | consumed samples: 2560000 | consumed tokens: 5242880000 | elapsed time per iteration (s): 0.83 | learning rate: 8.325E-05 | global batch size: 256 | lm loss: 2.349850E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.024 | TFLOPs: 25.53 | 0: steps: 10000 loss: 2.3169 iter time (s): 0.757 samples/sec: 338.359 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 10000 | lm loss value: 2.263130E+00 | lm loss PPL: 9.613128E+00 | 31: ------------------------------------------------------------------------------------------- 0: saving checkpoint at iteration 10000 to checkpoints_1b58b8 0: [2022-11-28 15:20:06,910] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step10000 is begin to save! 0: [2022-11-28 15:20:07,466] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_1b58b8/global_step10000/layer_01-model_00-model_states.pt... 0: [2022-11-28 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checkpoints_1b58b8/global_step10000/bf16_zero_pp_rank_22_mp_rank_00_optim_states.pt 2: [2022-11-28 15:20:11,575] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step10000 is ready now! 0: successfully saved checkpoint at iteration 10000 to checkpoints_1b58b8 31: time (ms) | save-checkpoint: 4684.41 31: iteration 10010/ 16765 | consumed samples: 2562560 | consumed tokens: 5248122880 | elapsed time per iteration (s): 1.23 | learning rate: 8.309E-05 | global batch size: 256 | lm loss: 2.319392E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 207.977 | TFLOPs: 17.18 | 31: iteration 10020/ 16765 | consumed samples: 2565120 | consumed tokens: 5253365760 | elapsed time per iteration (s): 0.81 | learning rate: 8.293E-05 | global batch size: 256 | lm loss: 2.344818E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.283 | TFLOPs: 26.13 | 31: iteration 10030/ 16765 | consumed samples: 2567680 | consumed tokens: 5258608640 | elapsed time per iteration (s): 0.84 | learning rate: 8.277E-05 | global batch size: 256 | lm loss: 2.345885E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.810 | TFLOPs: 25.27 | 31: iteration 10040/ 16765 | consumed samples: 2570240 | consumed tokens: 5263851520 | elapsed time per iteration (s): 0.78 | learning rate: 8.261E-05 | global batch size: 256 | lm loss: 2.344578E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.727 | TFLOPs: 27.00 | 31: iteration 10050/ 16765 | consumed samples: 2572800 | consumed tokens: 5269094400 | elapsed time per iteration (s): 0.79 | learning rate: 8.245E-05 | global batch size: 256 | lm loss: 2.323383E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.633 | TFLOPs: 26.74 | 31: iteration 10060/ 16765 | consumed samples: 2575360 | consumed tokens: 5274337280 | elapsed time per iteration (s): 0.78 | learning rate: 8.229E-05 | global batch size: 256 | lm loss: 2.327433E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.521 | TFLOPs: 27.15 | 31: iteration 10070/ 16765 | consumed samples: 2577920 | consumed tokens: 5279580160 | elapsed time per iteration (s): 0.79 | learning rate: 8.213E-05 | global batch size: 256 | lm loss: 2.327359E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.820 | TFLOPs: 26.76 | 31: iteration 10080/ 16765 | consumed samples: 2580480 | consumed tokens: 5284823040 | elapsed time per iteration (s): 0.77 | learning rate: 8.196E-05 | global batch size: 256 | lm loss: 2.293706E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.422 | TFLOPs: 27.63 | 31: iteration 10090/ 16765 | consumed samples: 2583040 | consumed tokens: 5290065920 | elapsed time per iteration (s): 0.75 | learning rate: 8.180E-05 | global batch size: 256 | lm loss: 2.305767E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.688 | TFLOPs: 28.23 | 31: iteration 10100/ 16765 | consumed samples: 2585600 | consumed tokens: 5295308800 | elapsed time per iteration (s): 0.75 | learning rate: 8.164E-05 | global batch size: 256 | lm loss: 2.334833E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.472 | TFLOPs: 28.05 | 31: iteration 10110/ 16765 | consumed samples: 2588160 | consumed tokens: 5300551680 | elapsed time per iteration (s): 0.74 | learning rate: 8.148E-05 | global batch size: 256 | lm loss: 2.309027E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.682 | TFLOPs: 28.40 | 31: iteration 10120/ 16765 | consumed samples: 2590720 | consumed tokens: 5305794560 | elapsed time per iteration (s): 0.74 | learning rate: 8.132E-05 | global batch size: 256 | lm loss: 2.296721E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.149 | TFLOPs: 28.52 | 31: iteration 10130/ 16765 | consumed samples: 2593280 | consumed tokens: 5311037440 | elapsed time per iteration (s): 0.76 | learning rate: 8.116E-05 | global batch size: 256 | lm loss: 2.320963E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.209 | TFLOPs: 27.78 | 31: iteration 10140/ 16765 | consumed samples: 2595840 | consumed tokens: 5316280320 | elapsed time per iteration (s): 0.76 | learning rate: 8.100E-05 | global batch size: 256 | lm loss: 2.333142E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.865 | TFLOPs: 27.75 | 31: iteration 10150/ 16765 | consumed samples: 2598400 | consumed tokens: 5321523200 | elapsed time per iteration (s): 0.76 | learning rate: 8.084E-05 | global batch size: 256 | lm loss: 2.300219E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.348 | TFLOPs: 27.87 | 31: iteration 10160/ 16765 | consumed samples: 2600960 | consumed tokens: 5326766080 | elapsed time per iteration (s): 0.80 | learning rate: 8.068E-05 | global batch size: 256 | lm loss: 2.320676E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.679 | TFLOPs: 26.58 | 31: iteration 10170/ 16765 | consumed samples: 2603520 | consumed tokens: 5332008960 | elapsed 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iteration 10230/ 16765 | consumed samples: 2618880 | consumed tokens: 5363466240 | elapsed time per iteration (s): 0.75 | learning rate: 7.957E-05 | global batch size: 256 | lm loss: 2.313565E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.870 | TFLOPs: 28.25 | 31: iteration 10240/ 16765 | consumed samples: 2621440 | consumed tokens: 5368709120 | elapsed time per iteration (s): 0.77 | learning rate: 7.941E-05 | global batch size: 256 | lm loss: 2.332788E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.582 | TFLOPs: 27.32 | 31: iteration 10250/ 16765 | consumed samples: 2624000 | consumed tokens: 5373952000 | elapsed time per iteration (s): 0.77 | learning rate: 7.925E-05 | global batch size: 256 | lm loss: 2.323092E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.598 | TFLOPs: 27.65 | 31: iteration 10260/ 16765 | consumed samples: 2626560 | consumed tokens: 5379194880 | elapsed time per iteration (s): 0.74 | learning rate: 7.909E-05 | global batch size: 256 | lm loss: 2.295799E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.135 | TFLOPs: 28.52 | 31: iteration 10270/ 16765 | consumed samples: 2629120 | consumed tokens: 5384437760 | elapsed time per iteration (s): 0.73 | learning rate: 7.894E-05 | global batch size: 256 | lm loss: 2.318989E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.249 | TFLOPs: 28.86 | 31: iteration 10280/ 16765 | consumed samples: 2631680 | consumed tokens: 5389680640 | elapsed time per iteration (s): 0.75 | learning rate: 7.878E-05 | global batch size: 256 | lm loss: 2.326610E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.674 | TFLOPs: 28.07 | 31: iteration 10290/ 16765 | consumed samples: 2634240 | consumed tokens: 5394923520 | elapsed time per iteration (s): 0.82 | learning rate: 7.862E-05 | global batch size: 256 | lm loss: 2.340318E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.522 | TFLOPs: 25.74 | 31: iteration 10300/ 16765 | consumed samples: 2636800 | consumed tokens: 5400166400 | elapsed time per iteration (s): 0.75 | learning rate: 7.846E-05 | global batch size: 256 | lm loss: 2.295546E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.699 | TFLOPs: 28.15 | 31: iteration 10310/ 16765 | consumed samples: 2639360 | consumed tokens: 5405409280 | elapsed time per iteration (s): 0.75 | learning rate: 7.830E-05 | global batch size: 256 | lm loss: 2.325592E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.178 | TFLOPs: 28.03 | 31: iteration 10320/ 16765 | consumed samples: 2641920 | consumed tokens: 5410652160 | elapsed time per iteration (s): 0.78 | learning rate: 7.814E-05 | global batch size: 256 | lm loss: 2.344351E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.814 | TFLOPs: 27.17 | 31: iteration 10330/ 16765 | consumed samples: 2644480 | consumed tokens: 5415895040 | elapsed time per iteration (s): 0.75 | learning rate: 7.799E-05 | global batch size: 256 | lm loss: 2.302719E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.321 | TFLOPs: 28.29 | 31: iteration 10340/ 16765 | consumed samples: 2647040 | consumed tokens: 5421137920 | elapsed time per iteration (s): 0.77 | learning rate: 7.783E-05 | global batch size: 256 | lm loss: 2.344556E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.684 | TFLOPs: 27.57 | 31: iteration 10350/ 16765 | consumed samples: 2649600 | consumed tokens: 5426380800 | elapsed time per iteration (s): 0.78 | learning rate: 7.767E-05 | global batch size: 256 | lm loss: 2.317529E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.311 | TFLOPs: 27.29 | 31: iteration 10360/ 16765 | consumed samples: 2652160 | consumed tokens: 5431623680 | elapsed time per iteration (s): 0.76 | learning rate: 7.751E-05 | global batch size: 256 | lm loss: 2.323113E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.491 | TFLOPs: 27.89 | 31: iteration 10370/ 16765 | consumed samples: 2654720 | consumed tokens: 5436866560 | elapsed time per iteration (s): 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5452595200 | elapsed time per iteration (s): 0.78 | learning rate: 7.689E-05 | global batch size: 256 | lm loss: 2.314319E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.058 | TFLOPs: 27.27 | 31: iteration 10410/ 16765 | consumed samples: 2664960 | consumed tokens: 5457838080 | elapsed time per iteration (s): 0.80 | learning rate: 7.673E-05 | global batch size: 256 | lm loss: 2.305711E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.955 | TFLOPs: 26.44 | 31: iteration 10420/ 16765 | consumed samples: 2667520 | consumed tokens: 5463080960 | elapsed time per iteration (s): 0.89 | learning rate: 7.657E-05 | global batch size: 256 | lm loss: 2.328243E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 288.721 | TFLOPs: 23.86 | 31: iteration 10430/ 16765 | consumed samples: 2670080 | consumed tokens: 5468323840 | elapsed time per iteration (s): 0.79 | learning rate: 7.641E-05 | global batch size: 256 | lm loss: 2.324109E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.521 | TFLOPs: 26.73 | 31: iteration 10440/ 16765 | consumed samples: 2672640 | consumed tokens: 5473566720 | elapsed time per iteration (s): 0.77 | learning rate: 7.626E-05 | global batch size: 256 | lm loss: 2.313750E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.529 | TFLOPs: 27.64 | 31: iteration 10450/ 16765 | consumed samples: 2675200 | consumed tokens: 5478809600 | elapsed time per iteration (s): 0.84 | learning rate: 7.610E-05 | global batch size: 256 | lm loss: 2.301544E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.559 | TFLOPs: 25.25 | 31: iteration 10460/ 16765 | consumed samples: 2677760 | consumed tokens: 5484052480 | elapsed time per iteration (s): 0.79 | learning rate: 7.595E-05 | global batch size: 256 | lm loss: 2.310386E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.257 | TFLOPs: 26.63 | 31: iteration 10470/ 16765 | consumed samples: 2680320 | consumed tokens: 5489295360 | elapsed time per iteration (s): 0.74 | learning rate: 7.579E-05 | global batch size: 256 | lm loss: 2.313222E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.056 | TFLOPs: 28.68 | 31: iteration 10480/ 16765 | consumed samples: 2682880 | consumed tokens: 5494538240 | elapsed time per iteration (s): 0.77 | learning rate: 7.563E-05 | global batch size: 256 | lm loss: 2.309680E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.629 | TFLOPs: 27.48 | 31: iteration 10490/ 16765 | consumed samples: 2685440 | consumed tokens: 5499781120 | elapsed time per iteration (s): 0.79 | learning rate: 7.548E-05 | global batch size: 256 | lm loss: 2.304586E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.587 | TFLOPs: 26.74 | 31: iteration 10500/ 16765 | consumed samples: 2688000 | consumed tokens: 5505024000 | elapsed time per iteration (s): 0.75 | learning rate: 7.532E-05 | global batch size: 256 | lm loss: 2.307571E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.696 | TFLOPs: 28.23 | 31: iteration 10510/ 16765 | consumed samples: 2690560 | consumed tokens: 5510266880 | elapsed time per iteration (s): 0.76 | learning rate: 7.517E-05 | global batch size: 256 | lm loss: 2.323405E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.152 | TFLOPs: 27.69 | 31: iteration 10520/ 16765 | consumed samples: 2693120 | consumed tokens: 5515509760 | elapsed time per iteration (s): 0.76 | learning rate: 7.501E-05 | global batch size: 256 | lm loss: 2.354547E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.614 | TFLOPs: 27.98 | 31: iteration 10530/ 16765 | consumed samples: 2695680 | consumed tokens: 5520752640 | elapsed time per iteration (s): 0.74 | learning rate: 7.485E-05 | global batch size: 256 | lm loss: 2.311306E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.360 | TFLOPs: 28.45 | 31: iteration 10540/ 16765 | consumed samples: 2698240 | consumed tokens: 5525995520 | elapsed time per iteration (s): 0.75 | learning rate: 7.470E-05 | global batch size: 256 | lm loss: 2.303740E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.196 | TFLOPs: 28.03 | 31: iteration 10550/ 16765 | consumed samples: 2700800 | consumed tokens: 5531238400 | elapsed time per iteration (s): 0.83 | learning rate: 7.454E-05 | global batch size: 256 | lm loss: 2.293597E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.378 | TFLOPs: 25.56 | 31: iteration 10560/ 16765 | consumed samples: 2703360 | consumed tokens: 5536481280 | elapsed time per iteration (s): 0.81 | learning rate: 7.439E-05 | global batch size: 256 | lm loss: 2.300855E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.134 | TFLOPs: 26.20 | 31: iteration 10570/ 16765 | consumed samples: 2705920 | consumed tokens: 5541724160 | elapsed time per iteration (s): 0.76 | learning rate: 7.423E-05 | global batch size: 256 | lm loss: 2.298472E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.544 | TFLOPs: 27.73 | 31: iteration 10580/ 16765 | consumed samples: 2708480 | consumed tokens: 5546967040 | elapsed time per iteration (s): 0.76 | learning rate: 7.408E-05 | global batch size: 256 | lm loss: 2.304000E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.376 | TFLOPs: 27.71 | 31: iteration 10590/ 16765 | consumed samples: 2711040 | consumed tokens: 5552209920 | elapsed time per iteration (s): 0.72 | learning rate: 7.392E-05 | global batch size: 256 | lm loss: 2.335564E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.847 | TFLOPs: 29.32 | 31: iteration 10600/ 16765 | consumed samples: 2713600 | consumed tokens: 5557452800 | elapsed time per iteration (s): 0.78 | learning rate: 7.377E-05 | global batch size: 256 | lm loss: 2.301571E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.130 | TFLOPs: 27.20 | 31: iteration 10610/ 16765 | consumed samples: 2716160 | consumed tokens: 5562695680 | elapsed time per iteration (s): 0.81 | learning rate: 7.362E-05 | global batch size: 256 | lm loss: 2.282106E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.478 | TFLOPs: 26.23 | 31: iteration 10620/ 16765 | consumed samples: 2718720 | consumed tokens: 5567938560 | elapsed time per iteration (s): 0.78 | learning rate: 7.346E-05 | global batch size: 256 | lm loss: 2.297291E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.013 | TFLOPs: 27.10 | 31: iteration 10630/ 16765 | consumed samples: 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samples per second: 309.584 | TFLOPs: 25.58 | 31: iteration 10690/ 16765 | consumed samples: 2736640 | consumed tokens: 5604638720 | elapsed time per iteration (s): 0.78 | learning rate: 7.238E-05 | global batch size: 256 | lm loss: 2.321024E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.580 | TFLOPs: 27.23 | 31: iteration 10700/ 16765 | consumed samples: 2739200 | consumed tokens: 5609881600 | elapsed time per iteration (s): 0.74 | learning rate: 7.223E-05 | global batch size: 256 | lm loss: 2.304710E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.844 | TFLOPs: 28.66 | 31: iteration 10710/ 16765 | consumed samples: 2741760 | consumed tokens: 5615124480 | elapsed time per iteration (s): 0.79 | learning rate: 7.208E-05 | global batch size: 256 | lm loss: 2.325638E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.190 | TFLOPs: 26.62 | 31: iteration 10720/ 16765 | consumed samples: 2744320 | consumed tokens: 5620367360 | elapsed time per iteration (s): 0.74 | learning rate: 7.192E-05 | global batch size: 256 | lm loss: 2.334383E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.951 | TFLOPs: 28.50 | 31: iteration 10730/ 16765 | consumed samples: 2746880 | consumed tokens: 5625610240 | elapsed time per iteration (s): 0.76 | learning rate: 7.177E-05 | global batch size: 256 | lm loss: 2.302402E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.673 | TFLOPs: 27.74 | 31: iteration 10740/ 16765 | consumed samples: 2749440 | consumed tokens: 5630853120 | elapsed time per iteration (s): 0.75 | learning rate: 7.162E-05 | global batch size: 256 | lm loss: 2.283039E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.718 | TFLOPs: 28.24 | 31: iteration 10750/ 16765 | consumed samples: 2752000 | consumed tokens: 5636096000 | elapsed time per iteration (s): 0.72 | learning rate: 7.147E-05 | global batch size: 256 | lm loss: 2.308844E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.392 | TFLOPs: 29.53 | 31: iteration 10760/ 16765 | consumed samples: 2754560 | consumed tokens: 5641338880 | elapsed time per iteration (s): 0.75 | learning rate: 7.131E-05 | global batch size: 256 | lm loss: 2.310969E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.304 | TFLOPs: 28.37 | 31: iteration 10770/ 16765 | consumed samples: 2757120 | consumed tokens: 5646581760 | elapsed time per iteration (s): 0.73 | learning rate: 7.116E-05 | global batch size: 256 | lm loss: 2.274612E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.755 | TFLOPs: 29.07 | 31: iteration 10780/ 16765 | consumed samples: 2759680 | consumed tokens: 5651824640 | elapsed time per iteration (s): 0.78 | learning rate: 7.101E-05 | global batch size: 256 | lm loss: 2.271387E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.064 | TFLOPs: 27.19 | 31: iteration 10790/ 16765 | consumed samples: 2762240 | consumed tokens: 5657067520 | elapsed time per iteration (s): 0.75 | learning rate: 7.086E-05 | global batch size: 256 | lm loss: 2.315896E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.574 | TFLOPs: 28.31 | 31: iteration 10800/ 16765 | consumed samples: 2764800 | consumed tokens: 5662310400 | elapsed time per iteration (s): 0.77 | learning rate: 7.071E-05 | global batch size: 256 | lm loss: 2.278881E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.921 | TFLOPs: 27.43 | 31: iteration 10810/ 16765 | consumed samples: 2767360 | consumed tokens: 5667553280 | elapsed time per iteration (s): 0.76 | learning rate: 7.055E-05 | global batch size: 256 | lm loss: 2.289422E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.679 | TFLOPs: 27.82 | 31: iteration 10820/ 16765 | consumed samples: 2769920 | consumed tokens: 5672796160 | elapsed time per iteration (s): 0.85 | learning rate: 7.040E-05 | global batch size: 256 | lm loss: 2.297541E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 300.486 | TFLOPs: 24.83 | 31: iteration 10830/ 16765 | consumed samples: 2772480 | consumed tokens: 5678039040 | elapsed time per iteration (s): 0.83 | learning rate: 7.025E-05 | global batch size: 256 | lm loss: 2.302703E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.295 | TFLOPs: 25.47 | 31: iteration 10840/ 16765 | consumed samples: 2775040 | consumed tokens: 5683281920 | elapsed time per iteration (s): 0.74 | learning rate: 7.010E-05 | global batch size: 256 | lm loss: 2.297738E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.765 | TFLOPs: 28.74 | 31: iteration 10850/ 16765 | consumed samples: 2777600 | consumed tokens: 5688524800 | elapsed time per iteration (s): 0.75 | learning rate: 6.995E-05 | global batch size: 256 | lm loss: 2.265199E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.676 | TFLOPs: 28.23 | 31: iteration 10860/ 16765 | 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TFLOPs: 27.32 | 31: iteration 10890/ 16765 | consumed samples: 2787840 | consumed tokens: 5709496320 | elapsed time per iteration (s): 0.75 | learning rate: 6.934E-05 | global batch size: 256 | lm loss: 2.300806E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.223 | TFLOPs: 28.19 | 31: iteration 10900/ 16765 | consumed samples: 2790400 | consumed tokens: 5714739200 | elapsed time per iteration (s): 0.72 | learning rate: 6.919E-05 | global batch size: 256 | lm loss: 2.293519E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.435 | TFLOPs: 29.45 | 31: iteration 10910/ 16765 | consumed samples: 2792960 | consumed tokens: 5719982080 | elapsed time per iteration (s): 0.73 | learning rate: 6.904E-05 | global batch size: 256 | lm loss: 2.325812E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.111 | TFLOPs: 29.01 | 31: iteration 10920/ 16765 | consumed samples: 2795520 | consumed tokens: 5725224960 | elapsed time per iteration (s): 0.75 | learning rate: 6.889E-05 | global batch size: 256 | lm loss: 2.277988E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.678 | TFLOPs: 28.07 | 31: iteration 10930/ 16765 | consumed samples: 2798080 | consumed tokens: 5730467840 | elapsed time per iteration (s): 0.74 | learning rate: 6.874E-05 | global batch size: 256 | lm loss: 2.287193E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.935 | TFLOPs: 28.50 | 31: iteration 10940/ 16765 | consumed samples: 2800640 | consumed tokens: 5735710720 | elapsed time per iteration (s): 0.77 | learning rate: 6.859E-05 | global batch size: 256 | lm loss: 2.260937E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.024 | TFLOPs: 27.43 | 31: iteration 10950/ 16765 | consumed samples: 2803200 | consumed tokens: 5740953600 | elapsed time per iteration (s): 0.75 | learning rate: 6.844E-05 | global batch size: 256 | lm loss: 2.320178E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.521 | TFLOPs: 28.38 | 31: iteration 10960/ 16765 | consumed samples: 2805760 | consumed tokens: 5746196480 | elapsed time per iteration (s): 0.73 | learning rate: 6.829E-05 | global batch size: 256 | lm loss: 2.292139E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.416 | TFLOPs: 28.95 | 31: iteration 10970/ 16765 | consumed samples: 2808320 | consumed tokens: 5751439360 | elapsed time per iteration (s): 0.75 | learning rate: 6.814E-05 | global batch size: 256 | lm loss: 2.298303E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.632 | TFLOPs: 28.06 | 31: iteration 10980/ 16765 | consumed samples: 2810880 | consumed tokens: 5756682240 | elapsed time per iteration (s): 0.78 | learning rate: 6.799E-05 | global batch size: 256 | lm loss: 2.295074E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.327 | TFLOPs: 26.96 | 31: iteration 10990/ 16765 | consumed samples: 2813440 | consumed tokens: 5761925120 | elapsed time per iteration (s): 0.75 | learning rate: 6.785E-05 | global batch size: 256 | lm loss: 2.306578E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.802 | TFLOPs: 28.16 | 31: iteration 11000/ 16765 | consumed samples: 2816000 | consumed tokens: 5767168000 | elapsed time per iteration (s): 1.03 | learning rate: 6.770E-05 | global batch size: 256 | lm loss: 2.304980E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 247.431 | TFLOPs: 20.44 | 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 11000 | lm loss value: 2.235938E+00 | lm loss PPL: 9.355249E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 11010/ 16765 | consumed samples: 2818560 | consumed tokens: 5772410880 | elapsed time per iteration (s): 0.82 | learning rate: 6.755E-05 | global batch size: 256 | lm loss: 2.282240E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.527 | TFLOPs: 25.91 | 31: iteration 11020/ 16765 | consumed samples: 2821120 | consumed tokens: 5777653760 | elapsed time per iteration (s): 0.83 | learning rate: 6.740E-05 | global batch size: 256 | lm loss: 2.329670E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.347 | TFLOPs: 25.40 | 31: iteration 11030/ 16765 | consumed samples: 2823680 | consumed tokens: 5782896640 | elapsed time per iteration (s): 0.81 | learning rate: 6.725E-05 | global batch size: 256 | lm loss: 2.271652E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.543 | TFLOPs: 26.07 | 31: iteration 11040/ 16765 | consumed samples: 2826240 | consumed tokens: 5788139520 | elapsed time per iteration (s): 0.76 | learning rate: 6.710E-05 | global batch size: 256 | lm loss: 2.298122E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.060 | TFLOPs: 27.77 | 31: iteration 11050/ 16765 | consumed samples: 2828800 | consumed tokens: 5793382400 | elapsed time per iteration (s): 0.75 | learning rate: 6.695E-05 | global batch size: 256 | lm loss: 2.313501E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.446 | TFLOPs: 28.21 | 31: iteration 11060/ 16765 | consumed samples: 2831360 | consumed tokens: 5798625280 | elapsed time per iteration (s): 0.76 | learning rate: 6.680E-05 | global batch size: 256 | lm loss: 2.277719E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.086 | TFLOPs: 27.94 | 31: iteration 11070/ 16765 | consumed samples: 2833920 | consumed tokens: 5803868160 | elapsed time per iteration (s): 0.76 | learning rate: 6.666E-05 | global batch size: 256 | lm loss: 2.285689E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.878 | TFLOPs: 27.84 | 31: iteration 11080/ 16765 | consumed samples: 2836480 | consumed tokens: 5809111040 | elapsed time per iteration (s): 0.78 | learning rate: 6.651E-05 | global batch size: 256 | lm loss: 2.304994E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.039 | TFLOPs: 27.19 | 31: iteration 11090/ 16765 | consumed samples: 2839040 | consumed tokens: 5814353920 | elapsed time per iteration (s): 0.79 | learning rate: 6.636E-05 | global batch size: 256 | lm loss: 2.287350E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.030 | TFLOPs: 26.77 | 31: iteration 11100/ 16765 | consumed samples: 2841600 | consumed tokens: 5819596800 | elapsed time per iteration (s): 0.80 | learning rate: 6.621E-05 | global batch size: 256 | lm loss: 2.314218E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.758 | TFLOPs: 26.50 | 31: iteration 11110/ 16765 | consumed samples: 2844160 | consumed tokens: 5824839680 | elapsed time per iteration (s): 0.80 | learning rate: 6.607E-05 | global batch size: 256 | lm loss: 2.319579E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.964 | TFLOPs: 26.36 | 31: iteration 11120/ 16765 | consumed samples: 2846720 | consumed tokens: 5830082560 | elapsed time per iteration (s): 0.81 | learning rate: 6.592E-05 | global batch size: 256 | lm loss: 2.305875E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.607 | TFLOPs: 26.00 | 31: iteration 11130/ 16765 | consumed samples: 2849280 | consumed tokens: 5835325440 | elapsed time per iteration (s): 0.78 | learning rate: 6.577E-05 | global batch size: 256 | lm loss: 2.270697E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.706 | TFLOPs: 27.24 | 31: iteration 11140/ 16765 | consumed samples: 2851840 | consumed tokens: 5840568320 | elapsed time per iteration (s): 0.77 | learning rate: 6.562E-05 | global batch size: 256 | lm loss: 2.298644E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.860 | TFLOPs: 27.50 | 31: iteration 11150/ 16765 | consumed samples: 2854400 | consumed tokens: 5845811200 | elapsed time per iteration (s): 0.78 | learning rate: 6.548E-05 | global batch size: 256 | lm loss: 2.285481E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.044 | TFLOPs: 27.02 | 31: iteration 11160/ 16765 | consumed samples: 2856960 | consumed tokens: 5851054080 | elapsed time per iteration (s): 0.78 | learning rate: 6.533E-05 | global batch size: 256 | lm loss: 2.305055E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.621 | TFLOPs: 27.24 | 31: iteration 11170/ 16765 | consumed samples: 2859520 | consumed tokens: 5856296960 | elapsed time per iteration (s): 0.81 | learning rate: 6.519E-05 | global batch size: 256 | lm loss: 2.292846E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.521 | TFLOPs: 26.07 | 31: iteration 11180/ 16765 | consumed samples: 2862080 | consumed tokens: 5861539840 | elapsed time per iteration (s): 0.74 | learning rate: 6.504E-05 | global batch size: 256 | lm loss: 2.298130E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.241 | TFLOPs: 28.44 | 31: iteration 11190/ 16765 | consumed samples: 2864640 | consumed tokens: 5866782720 | elapsed time per iteration (s): 0.80 | learning rate: 6.489E-05 | global batch size: 256 | lm loss: 2.246933E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.445 | TFLOPs: 26.40 | 31: iteration 11200/ 16765 | consumed samples: 2867200 | consumed tokens: 5872025600 | elapsed time per iteration (s): 0.77 | learning rate: 6.475E-05 | global batch size: 256 | lm loss: 2.336198E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.718 | TFLOPs: 27.33 | 31: iteration 11210/ 16765 | consumed samples: 2869760 | consumed tokens: 5877268480 | elapsed time per iteration (s): 0.77 | learning rate: 6.460E-05 | global batch size: 256 | lm loss: 2.298713E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.171 | TFLOPs: 27.45 | 31: iteration 11220/ 16765 | consumed samples: 2872320 | consumed tokens: 5882511360 | elapsed time per iteration (s): 0.82 | learning rate: 6.446E-05 | global batch size: 256 | lm loss: 2.323245E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.424 | TFLOPs: 25.82 | 31: iteration 11230/ 16765 | consumed samples: 2874880 | consumed tokens: 5887754240 | elapsed time per iteration (s): 0.80 | learning rate: 6.431E-05 | global batch size: 256 | lm loss: 2.306536E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.420 | TFLOPs: 26.56 | 31: iteration 11240/ 16765 | consumed samples: 2877440 | consumed tokens: 5892997120 | elapsed time per iteration (s): 0.78 | learning rate: 6.416E-05 | global batch size: 256 | lm loss: 2.314703E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.308 | TFLOPs: 26.96 | 31: iteration 11250/ 16765 | consumed samples: 2880000 | consumed tokens: 5898240000 | elapsed time per iteration (s): 0.77 | learning rate: 6.402E-05 | global batch size: 256 | lm loss: 2.305947E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.854 | TFLOPs: 27.50 | 31: iteration 11260/ 16765 | consumed samples: 2882560 | consumed tokens: 5903482880 | elapsed time per iteration (s): 0.82 | learning rate: 6.387E-05 | global batch size: 256 | lm loss: 2.292456E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.286 | TFLOPs: 25.72 | 31: iteration 11270/ 16765 | consumed samples: 2885120 | consumed tokens: 5908725760 | elapsed time per iteration (s): 0.79 | learning rate: 6.373E-05 | global batch size: 256 | lm loss: 2.295186E+00 | grad norm: 0.197 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.984 | TFLOPs: 26.85 | 31: iteration 11280/ 16765 | consumed samples: 2887680 | consumed tokens: 5913968640 | elapsed time per iteration (s): 0.76 | learning rate: 6.358E-05 | global batch size: 256 | lm loss: 2.327653E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.080 | TFLOPs: 27.94 | 31: iteration 11290/ 16765 | consumed samples: 2890240 | consumed tokens: 5919211520 | elapsed time per iteration (s): 0.74 | learning rate: 6.344E-05 | global batch size: 256 | lm loss: 2.286267E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.018 | TFLOPs: 28.67 | 31: iteration 11300/ 16765 | consumed samples: 2892800 | consumed tokens: 5924454400 | elapsed time per iteration (s): 0.75 | learning rate: 6.330E-05 | global batch size: 256 | lm loss: 2.274525E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.401 | TFLOPs: 28.29 | 31: iteration 11310/ 16765 | consumed samples: 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samples per second: 329.561 | TFLOPs: 27.23 | 31: iteration 11370/ 16765 | consumed samples: 2910720 | consumed tokens: 5961154560 | elapsed time per iteration (s): 0.76 | learning rate: 6.229E-05 | global batch size: 256 | lm loss: 2.296034E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.957 | TFLOPs: 27.76 | 31: iteration 11380/ 16765 | consumed samples: 2913280 | consumed tokens: 5966397440 | elapsed time per iteration (s): 0.77 | learning rate: 6.215E-05 | global batch size: 256 | lm loss: 2.289939E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.801 | TFLOPs: 27.58 | 31: iteration 11390/ 16765 | consumed samples: 2915840 | consumed tokens: 5971640320 | elapsed time per iteration (s): 0.80 | learning rate: 6.200E-05 | global batch size: 256 | lm loss: 2.284053E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.747 | TFLOPs: 26.50 | 31: iteration 11400/ 16765 | consumed samples: 2918400 | consumed tokens: 5976883200 | elapsed time per iteration (s): 0.76 | learning rate: 6.186E-05 | global batch size: 256 | lm loss: 2.320363E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.379 | TFLOPs: 27.96 | 31: iteration 11410/ 16765 | consumed samples: 2920960 | consumed tokens: 5982126080 | elapsed time per iteration (s): 0.81 | learning rate: 6.172E-05 | global batch size: 256 | lm loss: 2.263464E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.198 | TFLOPs: 26.04 | 31: iteration 11420/ 16765 | consumed samples: 2923520 | consumed tokens: 5987368960 | elapsed time per iteration (s): 0.79 | learning rate: 6.158E-05 | global batch size: 256 | lm loss: 2.262204E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.403 | TFLOPs: 26.72 | 31: iteration 11430/ 16765 | consumed samples: 2926080 | consumed tokens: 5992611840 | elapsed time per iteration (s): 0.76 | learning rate: 6.143E-05 | global batch size: 256 | lm loss: 2.281181E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.850 | TFLOPs: 27.83 | 31: iteration 11440/ 16765 | consumed samples: 2928640 | consumed tokens: 5997854720 | elapsed time per iteration (s): 0.77 | learning rate: 6.129E-05 | global batch size: 256 | lm loss: 2.310903E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.611 | TFLOPs: 27.40 | 31: iteration 11450/ 16765 | consumed samples: 2931200 | consumed tokens: 6003097600 | elapsed time per iteration (s): 0.79 | learning rate: 6.115E-05 | global batch size: 256 | lm loss: 2.271744E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.293 | TFLOPs: 26.71 | 31: iteration 11460/ 16765 | consumed samples: 2933760 | consumed tokens: 6008340480 | elapsed time per iteration (s): 0.76 | learning rate: 6.101E-05 | global batch size: 256 | lm loss: 2.287865E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.882 | TFLOPs: 27.75 | 31: iteration 11470/ 16765 | consumed samples: 2936320 | consumed tokens: 6013583360 | elapsed time per iteration (s): 0.85 | learning rate: 6.087E-05 | global batch size: 256 | lm loss: 2.304576E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 300.242 | TFLOPs: 24.81 | 31: iteration 11480/ 16765 | consumed samples: 2938880 | consumed tokens: 6018826240 | elapsed time per iteration (s): 0.78 | learning rate: 6.073E-05 | global batch size: 256 | lm loss: 2.315471E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.079 | TFLOPs: 27.11 | 31: iteration 11490/ 16765 | consumed samples: 2941440 | consumed tokens: 6024069120 | elapsed time per iteration (s): 0.77 | learning rate: 6.058E-05 | global batch size: 256 | lm loss: 2.298208E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.971 | TFLOPs: 27.35 | 31: iteration 11500/ 16765 | consumed samples: 2944000 | consumed tokens: 6029312000 | elapsed time per iteration (s): 0.77 | learning rate: 6.044E-05 | global batch size: 256 | lm loss: 2.313534E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.775 | TFLOPs: 27.33 | 31: iteration 11510/ 16765 | consumed samples: 2946560 | consumed tokens: 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consumed samples: 2954240 | consumed tokens: 6050283520 | elapsed time per iteration (s): 0.79 | learning rate: 5.988E-05 | global batch size: 256 | lm loss: 2.306276E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.734 | TFLOPs: 26.67 | 31: iteration 11550/ 16765 | consumed samples: 2956800 | consumed tokens: 6055526400 | elapsed time per iteration (s): 0.80 | learning rate: 5.974E-05 | global batch size: 256 | lm loss: 2.301754E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.935 | TFLOPs: 26.60 | 31: iteration 11560/ 16765 | consumed samples: 2959360 | consumed tokens: 6060769280 | elapsed time per iteration (s): 0.75 | learning rate: 5.960E-05 | global batch size: 256 | lm loss: 2.302246E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.248 | TFLOPs: 28.03 | 31: iteration 11570/ 16765 | consumed samples: 2961920 | consumed tokens: 6066012160 | elapsed time per iteration (s): 0.76 | learning rate: 5.946E-05 | global batch size: 256 | lm loss: 2.282560E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.340 | TFLOPs: 27.79 | 31: iteration 11580/ 16765 | consumed samples: 2964480 | consumed tokens: 6071255040 | elapsed time per iteration (s): 0.77 | learning rate: 5.932E-05 | global batch size: 256 | lm loss: 2.262708E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.102 | TFLOPs: 27.61 | 31: iteration 11590/ 16765 | consumed samples: 2967040 | consumed tokens: 6076497920 | elapsed time per iteration (s): 0.79 | learning rate: 5.918E-05 | global batch size: 256 | lm loss: 2.296887E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.822 | TFLOPs: 26.76 | 31: iteration 11600/ 16765 | consumed samples: 2969600 | consumed tokens: 6081740800 | elapsed time per iteration (s): 0.76 | learning rate: 5.904E-05 | global batch size: 256 | lm loss: 2.298461E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.800 | TFLOPs: 27.99 | 31: iteration 11610/ 16765 | consumed samples: 2972160 | consumed tokens: 6086983680 | elapsed time per iteration (s): 0.83 | learning rate: 5.890E-05 | global batch size: 256 | lm loss: 2.295783E+00 | grad norm: 0.196 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.160 | TFLOPs: 25.63 | 31: iteration 11620/ 16765 | consumed samples: 2974720 | consumed tokens: 6092226560 | elapsed time per iteration (s): 0.80 | learning rate: 5.876E-05 | global batch size: 256 | lm loss: 2.326890E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.325 | TFLOPs: 26.39 | 31: iteration 11630/ 16765 | consumed samples: 2977280 | consumed tokens: 6097469440 | elapsed time per iteration (s): 0.81 | learning rate: 5.863E-05 | global batch size: 256 | lm loss: 2.279146E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.026 | TFLOPs: 26.03 | 31: iteration 11640/ 16765 | consumed samples: 2979840 | consumed tokens: 6102712320 | elapsed time per iteration (s): 0.75 | learning rate: 5.849E-05 | global batch size: 256 | lm loss: 2.309691E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.619 | TFLOPs: 28.31 | 31: iteration 11650/ 16765 | consumed samples: 2982400 | consumed tokens: 6107955200 | elapsed time per iteration (s): 0.76 | learning rate: 5.835E-05 | global batch size: 256 | lm loss: 2.263816E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.462 | TFLOPs: 27.88 | 31: iteration 11660/ 16765 | consumed samples: 2984960 | consumed tokens: 6113198080 | elapsed time per iteration (s): 0.80 | learning rate: 5.821E-05 | global batch size: 256 | lm loss: 2.295435E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.668 | TFLOPs: 26.33 | 31: iteration 11670/ 16765 | consumed samples: 2987520 | consumed tokens: 6118440960 | elapsed time per iteration (s): 0.77 | learning rate: 5.807E-05 | global batch size: 256 | lm loss: 2.270050E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.792 | TFLOPs: 27.58 | 31: iteration 11680/ 16765 | consumed samples: 2990080 | consumed tokens: 6123683840 | elapsed time per iteration (s): 0.77 | learning rate: 5.794E-05 | global batch size: 256 | lm loss: 2.310630E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.457 | TFLOPs: 27.31 | 31: iteration 11690/ 16765 | consumed samples: 2992640 | consumed tokens: 6128926720 | elapsed time per iteration (s): 0.76 | learning rate: 5.780E-05 | global batch size: 256 | lm loss: 2.303216E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.659 | TFLOPs: 27.74 | 31: iteration 11700/ 16765 | consumed samples: 2995200 | consumed tokens: 6134169600 | elapsed time per iteration (s): 0.76 | learning rate: 5.766E-05 | global batch size: 256 | lm loss: 2.268160E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.718 | TFLOPs: 27.82 | 31: iteration 11710/ 16765 | consumed samples: 2997760 | consumed tokens: 6139412480 | elapsed time per iteration (s): 0.72 | learning rate: 5.752E-05 | global batch size: 256 | lm loss: 2.291751E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.953 | TFLOPs: 29.25 | 31: iteration 11720/ 16765 | consumed samples: 3000320 | consumed tokens: 6144655360 | elapsed time per iteration (s): 0.76 | learning rate: 5.739E-05 | global batch size: 256 | lm loss: 2.278955E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.059 | TFLOPs: 28.02 | 31: iteration 11730/ 16765 | consumed samples: 3002880 | consumed tokens: 6149898240 | elapsed time per iteration (s): 0.76 | learning rate: 5.725E-05 | global batch size: 256 | lm loss: 2.282411E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.778 | TFLOPs: 27.91 | 31: iteration 11740/ 16765 | consumed samples: 3005440 | consumed tokens: 6155141120 | elapsed time per iteration (s): 0.74 | learning rate: 5.711E-05 | global batch size: 256 | lm loss: 2.286757E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.752 | TFLOPs: 28.65 | 31: iteration 11750/ 16765 | consumed samples: 3008000 | consumed tokens: 6160384000 | elapsed time per iteration (s): 0.81 | learning rate: 5.698E-05 | global batch size: 256 | lm loss: 2.261601E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.220 | TFLOPs: 26.21 | 31: iteration 11760/ 16765 | consumed samples: 3010560 | consumed tokens: 6165626880 | elapsed time per iteration (s): 0.76 | learning rate: 5.684E-05 | global batch size: 256 | lm loss: 2.295336E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.951 | TFLOPs: 27.92 | 31: iteration 11770/ 16765 | consumed samples: 3013120 | consumed tokens: 6170869760 | elapsed time per iteration (s): 0.76 | learning rate: 5.670E-05 | global batch size: 256 | lm loss: 2.304377E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.751 | TFLOPs: 27.91 | 31: iteration 11780/ 16765 | consumed samples: 3015680 | consumed tokens: 6176112640 | elapsed time per iteration (s): 0.74 | learning rate: 5.657E-05 | global batch size: 256 | lm loss: 2.268209E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.375 | TFLOPs: 28.54 | 31: iteration 11790/ 16765 | consumed samples: 3018240 | consumed tokens: 6181355520 | elapsed time per iteration (s): 0.75 | learning rate: 5.643E-05 | global batch size: 256 | lm loss: 2.282209E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.696 | TFLOPs: 28.07 | 31: iteration 11800/ 16765 | consumed samples: 3020800 | consumed tokens: 6186598400 | elapsed time per iteration (s): 0.74 | learning rate: 5.630E-05 | global batch size: 256 | lm loss: 2.283184E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.013 | TFLOPs: 28.59 | 31: iteration 11810/ 16765 | consumed samples: 3023360 | consumed tokens: 6191841280 | elapsed time per iteration (s): 0.75 | learning rate: 5.616E-05 | global batch size: 256 | lm loss: 2.272333E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.619 | TFLOPs: 28.14 | 31: iteration 11820/ 16765 | consumed samples: 3025920 | consumed tokens: 6197084160 | elapsed time per iteration (s): 0.80 | learning rate: 5.603E-05 | global batch size: 256 | lm loss: 2.286189E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.672 | TFLOPs: 26.50 | 31: iteration 11830/ 16765 | consumed samples: 3028480 | consumed tokens: 6202327040 | elapsed time per iteration (s): 0.71 | learning rate: 5.589E-05 | global batch size: 256 | lm loss: 2.229702E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.314 | TFLOPs: 29.85 | 31: iteration 11840/ 16765 | consumed samples: 3031040 | consumed tokens: 6207569920 | elapsed time per iteration (s): 0.88 | learning rate: 5.576E-05 | global batch size: 256 | lm loss: 2.270669E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 291.509 | TFLOPs: 24.09 | 31: iteration 11850/ 16765 | consumed samples: 3033600 | consumed tokens: 6212812800 | elapsed time per iteration (s): 0.77 | learning rate: 5.562E-05 | global batch size: 256 | lm loss: 2.302987E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.947 | TFLOPs: 27.43 | 31: iteration 11860/ 16765 | consumed samples: 3036160 | consumed tokens: 6218055680 | elapsed time per iteration (s): 0.74 | learning rate: 5.549E-05 | global batch size: 256 | lm loss: 2.235643E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.234 | TFLOPs: 28.61 | 31: iteration 11870/ 16765 | consumed samples: 3038720 | consumed tokens: 6223298560 | elapsed time per iteration (s): 0.82 | learning rate: 5.535E-05 | global batch size: 256 | lm loss: 2.283086E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.242 | TFLOPs: 25.72 | 31: iteration 11880/ 16765 | consumed samples: 3041280 | consumed tokens: 6228541440 | elapsed time per iteration (s): 0.79 | learning rate: 5.522E-05 | global batch size: 256 | lm loss: 2.280788E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.500 | TFLOPs: 26.81 | 31: iteration 11890/ 16765 | consumed samples: 3043840 | consumed tokens: 6233784320 | elapsed time per iteration (s): 0.80 | learning rate: 5.508E-05 | global batch size: 256 | lm loss: 2.293380E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.290 | TFLOPs: 26.38 | 31: iteration 11900/ 16765 | consumed samples: 3046400 | consumed tokens: 6239027200 | elapsed time per iteration (s): 0.75 | learning rate: 5.495E-05 | global batch size: 256 | lm loss: 2.255713E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.105 | TFLOPs: 28.27 | 31: iteration 11910/ 16765 | consumed samples: 3048960 | consumed tokens: 6244270080 | elapsed time per iteration (s): 0.75 | learning rate: 5.482E-05 | global batch size: 256 | lm loss: 2.309192E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.234 | TFLOPs: 28.28 | 31: iteration 11920/ 16765 | consumed samples: 3051520 | consumed tokens: 6249512960 | elapsed time per iteration (s): 0.75 | learning rate: 5.468E-05 | global batch size: 256 | lm loss: 2.306396E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.137 | TFLOPs: 28.11 | 31: iteration 11930/ 16765 | consumed samples: 3054080 | consumed tokens: 6254755840 | elapsed time per iteration (s): 0.75 | learning rate: 5.455E-05 | global batch size: 256 | lm loss: 2.304971E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.979 | TFLOPs: 28.09 | 31: iteration 11940/ 16765 | consumed samples: 3056640 | consumed tokens: 6259998720 | elapsed time per iteration (s): 0.76 | learning rate: 5.442E-05 | global batch size: 256 | lm loss: 2.301188E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.123 | TFLOPs: 27.94 | 31: iteration 11950/ 16765 | consumed samples: 3059200 | consumed tokens: 6265241600 | elapsed time per iteration (s): 0.76 | learning rate: 5.429E-05 | global batch size: 256 | lm loss: 2.242521E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.371 | TFLOPs: 27.96 | 31: iteration 11960/ 16765 | consumed samples: 3061760 | consumed tokens: 6270484480 | elapsed time per iteration (s): 0.76 | learning rate: 5.415E-05 | global batch size: 256 | lm loss: 2.282443E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.776 | TFLOPs: 27.83 | 31: iteration 11970/ 16765 | consumed samples: 3064320 | consumed tokens: 6275727360 | elapsed time per iteration (s): 0.77 | learning rate: 5.402E-05 | global batch size: 256 | lm loss: 2.280805E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.984 | TFLOPs: 27.51 | 31: iteration 11980/ 16765 | consumed samples: 3066880 | consumed tokens: 6280970240 | elapsed time per iteration (s): 0.76 | learning rate: 5.389E-05 | global batch size: 256 | lm loss: 2.310290E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.873 | TFLOPs: 27.92 | 31: iteration 11990/ 16765 | consumed samples: 3069440 | consumed tokens: 6286213120 | elapsed time per iteration (s): 0.78 | learning rate: 5.376E-05 | global batch size: 256 | lm loss: 2.283344E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.465 | TFLOPs: 27.06 | 0: [2022-11-28 15:46:01,025] [INFO] [logging.py:68:log_dist] [Rank 0] step=12000, skipped=0, lr=[5.3625165200675096e-05, 5.3625165200675096e-05, 5.3625165200675096e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 12000/ 16765 | consumed samples: 3072000 | consumed tokens: 6291456000 | elapsed time per iteration (s): 0.84 | learning rate: 5.363E-05 | global batch size: 256 | lm loss: 2.305728E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.843 | TFLOPs: 25.11 | 0: steps: 12000 loss: 2.3608 iter time (s): 0.771 samples/sec: 331.921 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 12000 | lm loss value: 2.268661E+00 | lm loss PPL: 9.666444E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 12010/ 16765 | consumed samples: 3074560 | consumed tokens: 6296698880 | elapsed time per iteration (s): 0.82 | learning rate: 5.349E-05 | global batch size: 256 | lm loss: 2.281987E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.585 | TFLOPs: 25.75 | 31: iteration 12020/ 16765 | consumed samples: 3077120 | consumed tokens: 6301941760 | elapsed time per iteration (s): 0.75 | learning rate: 5.336E-05 | global batch size: 256 | lm loss: 2.244199E+00 | grad norm: 0.162 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.475 | TFLOPs: 28.05 | 31: iteration 12030/ 16765 | consumed samples: 3079680 | consumed tokens: 6307184640 | elapsed time per iteration (s): 0.80 | learning rate: 5.323E-05 | global batch size: 256 | lm loss: 2.256979E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.803 | TFLOPs: 26.59 | 31: iteration 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second: 319.905 | TFLOPs: 26.43 | 31: iteration 12070/ 16765 | consumed samples: 3089920 | consumed tokens: 6328156160 | elapsed time per iteration (s): 0.79 | learning rate: 5.271E-05 | global batch size: 256 | lm loss: 2.289658E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.233 | TFLOPs: 26.87 | 31: iteration 12080/ 16765 | consumed samples: 3092480 | consumed tokens: 6333399040 | elapsed time per iteration (s): 0.76 | learning rate: 5.258E-05 | global batch size: 256 | lm loss: 2.270569E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.816 | TFLOPs: 27.67 | 31: iteration 12090/ 16765 | consumed samples: 3095040 | consumed tokens: 6338641920 | elapsed time per iteration (s): 0.79 | learning rate: 5.245E-05 | global batch size: 256 | lm loss: 2.266409E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.162 | TFLOPs: 26.62 | 31: iteration 12100/ 16765 | consumed samples: 3097600 | consumed tokens: 6343884800 | elapsed time per iteration (s): 0.75 | learning rate: 5.232E-05 | global batch size: 256 | lm loss: 2.263040E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.879 | TFLOPs: 28.25 | 31: iteration 12110/ 16765 | consumed samples: 3100160 | consumed tokens: 6349127680 | elapsed time per iteration (s): 0.77 | learning rate: 5.219E-05 | global batch size: 256 | lm loss: 2.237494E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.429 | TFLOPs: 27.30 | 31: iteration 12120/ 16765 | consumed samples: 3102720 | consumed tokens: 6354370560 | elapsed time per iteration (s): 6.69 | learning rate: 5.206E-05 | global batch size: 256 | lm loss: 2.291404E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 38.291 | TFLOPs: 3.16 | 31: iteration 12130/ 16765 | consumed samples: 3105280 | consumed tokens: 6359613440 | elapsed time per iteration (s): 0.76 | learning rate: 5.193E-05 | global batch size: 256 | lm loss: 2.295426E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.842 | TFLOPs: 27.75 | 31: iteration 12140/ 16765 | consumed samples: 3107840 | consumed tokens: 6364856320 | elapsed time per iteration (s): 0.78 | learning rate: 5.180E-05 | global batch size: 256 | lm loss: 2.291141E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.140 | TFLOPs: 27.11 | 31: iteration 12150/ 16765 | consumed samples: 3110400 | consumed tokens: 6370099200 | elapsed time per iteration (s): 0.74 | learning rate: 5.167E-05 | global batch size: 256 | lm loss: 2.301435E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.171 | TFLOPs: 28.44 | 31: iteration 12160/ 16765 | consumed samples: 3112960 | consumed tokens: 6375342080 | elapsed time per iteration (s): 0.74 | learning rate: 5.155E-05 | global batch size: 256 | lm loss: 2.261591E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.027 | TFLOPs: 28.43 | 31: iteration 12170/ 16765 | consumed samples: 3115520 | consumed tokens: 6380584960 | elapsed time per iteration (s): 0.80 | learning rate: 5.142E-05 | global batch size: 256 | lm loss: 2.223947E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.753 | TFLOPs: 26.42 | 31: iteration 12180/ 16765 | consumed samples: 3118080 | consumed tokens: 6385827840 | elapsed time per iteration (s): 0.75 | learning rate: 5.129E-05 | global batch size: 256 | lm loss: 2.263579E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.244 | TFLOPs: 28.36 | 31: iteration 12190/ 16765 | consumed samples: 3120640 | consumed tokens: 6391070720 | elapsed time per iteration (s): 0.74 | learning rate: 5.116E-05 | global batch size: 256 | lm loss: 2.261747E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.147 | TFLOPs: 28.44 | 31: iteration 12200/ 16765 | consumed samples: 3123200 | consumed tokens: 6396313600 | elapsed time per iteration (s): 0.75 | learning rate: 5.103E-05 | global batch size: 256 | lm loss: 2.292887E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.253 | TFLOPs: 28.03 | 31: iteration 12210/ 16765 | consumed samples: 3125760 | consumed tokens: 6401556480 | elapsed time per iteration (s): 0.73 | learning rate: 5.091E-05 | global batch size: 256 | lm loss: 2.291163E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.835 | TFLOPs: 29.07 | 31: iteration 12220/ 16765 | consumed samples: 3128320 | consumed tokens: 6406799360 | elapsed time per iteration (s): 0.77 | learning rate: 5.078E-05 | global batch size: 256 | lm loss: 2.279533E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.310 | TFLOPs: 27.38 | 31: iteration 12230/ 16765 | consumed samples: 3130880 | consumed tokens: 6412042240 | elapsed time per iteration (s): 0.73 | learning rate: 5.065E-05 | global batch size: 256 | lm loss: 2.280751E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.326 | TFLOPs: 29.03 | 31: iteration 12240/ 16765 | consumed samples: 3133440 | consumed tokens: 6417285120 | elapsed time per iteration (s): 0.73 | learning rate: 5.053E-05 | global batch size: 256 | lm loss: 2.248304E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.564 | TFLOPs: 28.97 | 31: iteration 12250/ 16765 | consumed samples: 3136000 | consumed tokens: 6422528000 | elapsed time per iteration (s): 0.75 | learning rate: 5.040E-05 | global batch size: 256 | lm loss: 2.277952E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.194 | TFLOPs: 28.03 | 31: iteration 12260/ 16765 | consumed samples: 3138560 | consumed tokens: 6427770880 | elapsed time per iteration (s): 0.72 | learning rate: 5.027E-05 | global batch size: 256 | lm loss: 2.280235E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.392 | TFLOPs: 29.28 | 31: iteration 12270/ 16765 | consumed samples: 3141120 | consumed tokens: 6433013760 | elapsed time per iteration (s): 0.73 | learning rate: 5.015E-05 | global batch size: 256 | lm loss: 2.281509E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.218 | TFLOPs: 28.86 | 31: iteration 12280/ 16765 | consumed samples: 3143680 | consumed tokens: 6438256640 | elapsed time per iteration (s): 0.76 | learning rate: 5.002E-05 | global batch size: 256 | lm loss: 2.276548E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.182 | TFLOPs: 27.94 | 31: iteration 12290/ 16765 | consumed samples: 3146240 | consumed tokens: 6443499520 | elapsed time per iteration (s): 0.86 | learning rate: 4.989E-05 | global batch size: 256 | lm loss: 2.285928E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 298.973 | TFLOPs: 24.70 | 31: iteration 12300/ 16765 | consumed samples: 3148800 | consumed tokens: 6448742400 | elapsed time per iteration (s): 0.91 | learning rate: 4.977E-05 | global batch size: 256 | lm loss: 2.274445E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.073 | TFLOPs: 23.31 | 31: iteration 12310/ 16765 | consumed samples: 3151360 | consumed tokens: 6453985280 | elapsed time per iteration (s): 0.82 | learning rate: 4.964E-05 | global batch size: 256 | lm loss: 2.295352E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.968 | TFLOPs: 25.78 | 31: iteration 12320/ 16765 | consumed samples: 3153920 | consumed tokens: 6459228160 | elapsed time per iteration (s): 0.78 | learning rate: 4.952E-05 | global batch size: 256 | lm loss: 2.260190E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.134 | TFLOPs: 27.03 | 31: iteration 12330/ 16765 | consumed samples: 3156480 | consumed tokens: 6464471040 | elapsed time per iteration (s): 0.75 | learning rate: 4.939E-05 | global batch size: 256 | lm loss: 2.298327E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.189 | TFLOPs: 28.03 | 31: iteration 12340/ 16765 | consumed samples: 3159040 | consumed tokens: 6469713920 | elapsed time per iteration (s): 0.75 | learning rate: 4.927E-05 | global batch size: 256 | lm loss: 2.285051E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.829 | TFLOPs: 28.08 | 31: iteration 12350/ 16765 | consumed samples: 3161600 | consumed tokens: 6474956800 | elapsed time per iteration (s): 0.77 | learning rate: 4.914E-05 | global batch size: 256 | lm loss: 2.279831E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.399 | TFLOPs: 27.47 | 31: iteration 12360/ 16765 | consumed samples: 3164160 | consumed tokens: 6480199680 | elapsed time per iteration (s): 0.78 | learning rate: 4.902E-05 | global batch size: 256 | lm loss: 2.279190E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.160 | TFLOPs: 27.03 | 31: iteration 12370/ 16765 | consumed samples: 3166720 | consumed tokens: 6485442560 | elapsed time per iteration (s): 0.75 | learning rate: 4.890E-05 | global batch size: 256 | lm loss: 2.268963E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.322 | TFLOPs: 28.12 | 31: iteration 12380/ 16765 | consumed samples: 3169280 | consumed tokens: 6490685440 | elapsed time per iteration (s): 0.76 | learning rate: 4.877E-05 | global batch size: 256 | lm loss: 2.282019E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.364 | TFLOPs: 27.71 | 31: iteration 12390/ 16765 | consumed samples: 3171840 | consumed tokens: 6495928320 | elapsed time per iteration (s): 0.74 | learning rate: 4.865E-05 | global batch size: 256 | lm loss: 2.248335E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.194 | TFLOPs: 28.52 | 31: iteration 12400/ 16765 | consumed samples: 3174400 | consumed tokens: 6501171200 | elapsed time per iteration (s): 0.77 | learning rate: 4.853E-05 | global batch size: 256 | lm loss: 2.298948E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.919 | TFLOPs: 27.51 | 31: iteration 12410/ 16765 | consumed samples: 3176960 | consumed tokens: 6506414080 | elapsed time per iteration (s): 0.74 | learning rate: 4.840E-05 | global batch size: 256 | lm loss: 2.303227E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.312 | TFLOPs: 28.53 | 31: iteration 12420/ 16765 | consumed samples: 3179520 | consumed tokens: 6511656960 | elapsed time per iteration (s): 0.79 | learning rate: 4.828E-05 | global batch size: 256 | lm loss: 2.272663E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.811 | TFLOPs: 26.84 | 31: iteration 12430/ 16765 | consumed samples: 3182080 | consumed tokens: 6516899840 | elapsed time per iteration (s): 0.75 | learning rate: 4.816E-05 | global batch size: 256 | lm loss: 2.282026E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.882 | TFLOPs: 28.17 | 31: iteration 12440/ 16765 | consumed samples: 3184640 | consumed tokens: 6522142720 | elapsed time per iteration (s): 0.76 | learning rate: 4.803E-05 | global batch size: 256 | lm loss: 2.255394E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.931 | TFLOPs: 27.67 | 31: iteration 12450/ 16765 | consumed samples: 3187200 | consumed tokens: 6527385600 | elapsed time per iteration (s): 0.77 | learning rate: 4.791E-05 | global batch size: 256 | lm loss: 2.274730E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.171 | TFLOPs: 27.45 | 31: iteration 12460/ 16765 | consumed samples: 3189760 | consumed tokens: 6532628480 | elapsed time per iteration (s): 0.74 | learning rate: 4.779E-05 | global batch size: 256 | lm loss: 2.305568E+00 | grad norm: 0.209 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.237 | TFLOPs: 28.44 | 31: iteration 12470/ 16765 | consumed samples: 3192320 | consumed tokens: 6537871360 | elapsed time per iteration (s): 0.76 | learning rate: 4.767E-05 | global batch size: 256 | lm loss: 2.276470E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.082 | TFLOPs: 27.77 | 31: iteration 12480/ 16765 | consumed samples: 3194880 | consumed tokens: 6543114240 | elapsed time per iteration (s): 0.75 | learning rate: 4.755E-05 | global batch size: 256 | lm loss: 2.252824E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.823 | TFLOPs: 28.08 | 31: iteration 12490/ 16765 | consumed samples: 3197440 | consumed tokens: 6548357120 | elapsed time per iteration (s): 0.75 | learning rate: 4.742E-05 | global batch size: 256 | lm loss: 2.250521E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.627 | TFLOPs: 28.15 | 31: iteration 12500/ 16765 | consumed samples: 3200000 | consumed tokens: 6553600000 | elapsed time per iteration (s): 0.77 | learning rate: 4.730E-05 | global batch size: 256 | lm loss: 2.252608E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.343 | TFLOPs: 27.63 | 31: iteration 12510/ 16765 | consumed samples: 3202560 | consumed tokens: 6558842880 | elapsed time per iteration (s): 0.76 | learning rate: 4.718E-05 | global batch size: 256 | lm loss: 2.256286E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.797 | TFLOPs: 27.83 | 31: iteration 12520/ 16765 | consumed samples: 3205120 | consumed tokens: 6564085760 | elapsed time per iteration (s): 0.74 | learning rate: 4.706E-05 | global batch size: 256 | lm loss: 2.282486E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.447 | TFLOPs: 28.63 | 31: iteration 12530/ 16765 | consumed samples: 3207680 | consumed tokens: 6569328640 | elapsed time per iteration (s): 0.80 | learning rate: 4.694E-05 | global batch size: 256 | lm loss: 2.259556E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.449 | TFLOPs: 26.48 | 31: iteration 12540/ 16765 | consumed samples: 3210240 | consumed tokens: 6574571520 | elapsed time per iteration (s): 0.76 | learning rate: 4.682E-05 | global batch size: 256 | lm loss: 2.242760E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.902 | TFLOPs: 27.67 | 31: iteration 12550/ 16765 | consumed samples: 3212800 | consumed tokens: 6579814400 | elapsed time per iteration (s): 0.74 | learning rate: 4.670E-05 | global batch size: 256 | lm loss: 2.274598E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.070 | TFLOPs: 28.43 | 31: iteration 12560/ 16765 | consumed samples: 3215360 | consumed tokens: 6585057280 | elapsed time per iteration (s): 0.82 | learning rate: 4.658E-05 | global batch size: 256 | lm loss: 2.308808E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.555 | TFLOPs: 25.66 | 31: iteration 12570/ 16765 | consumed samples: 3217920 | consumed tokens: 6590300160 | elapsed time per iteration (s): 0.78 | learning rate: 4.646E-05 | global batch size: 256 | lm loss: 2.272145E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.856 | TFLOPs: 27.09 | 31: iteration 12580/ 16765 | consumed samples: 3220480 | consumed tokens: 6595543040 | elapsed time per iteration (s): 0.75 | learning rate: 4.634E-05 | global batch size: 256 | lm loss: 2.274799E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.542 | TFLOPs: 28.06 | 31: iteration 12590/ 16765 | consumed samples: 3223040 | consumed tokens: 6600785920 | elapsed time per iteration (s): 0.75 | learning rate: 4.622E-05 | global batch size: 256 | lm loss: 2.294052E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.313 | TFLOPs: 28.04 | 31: iteration 12600/ 16765 | consumed samples: 3225600 | consumed tokens: 6606028800 | elapsed time per iteration (s): 0.82 | learning rate: 4.610E-05 | global batch size: 256 | lm loss: 2.268805E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.980 | TFLOPs: 25.94 | 31: iteration 12610/ 16765 | consumed samples: 3228160 | consumed tokens: 6611271680 | elapsed time per iteration (s): 0.77 | learning rate: 4.598E-05 | global batch size: 256 | lm loss: 2.262965E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.799 | TFLOPs: 27.42 | 31: iteration 12620/ 16765 | consumed samples: 3230720 | consumed tokens: 6616514560 | elapsed time per iteration (s): 0.76 | learning rate: 4.587E-05 | global batch size: 256 | lm loss: 2.242964E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.549 | TFLOPs: 27.89 | 31: iteration 12630/ 16765 | consumed samples: 3233280 | consumed tokens: 6621757440 | elapsed time per iteration (s): 0.80 | learning rate: 4.575E-05 | global batch size: 256 | lm loss: 2.297927E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.818 | TFLOPs: 26.51 | 31: iteration 12640/ 16765 | consumed samples: 3235840 | consumed tokens: 6627000320 | elapsed time per iteration (s): 0.74 | learning rate: 4.563E-05 | global batch size: 256 | lm loss: 2.275488E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.094 | TFLOPs: 28.76 | 31: iteration 12650/ 16765 | consumed samples: 3238400 | consumed tokens: 6632243200 | elapsed time per iteration (s): 0.76 | learning rate: 4.551E-05 | global batch size: 256 | lm loss: 2.257693E+00 | grad norm: 0.220 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.102 | TFLOPs: 27.94 | 31: iteration 12660/ 16765 | consumed samples: 3240960 | consumed tokens: 6637486080 | elapsed time per iteration (s): 0.74 | learning rate: 4.539E-05 | global batch size: 256 | lm loss: 2.282093E+00 | grad norm: 0.225 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.298 | TFLOPs: 28.61 | 31: iteration 12670/ 16765 | consumed samples: 3243520 | consumed tokens: 6642728960 | elapsed time per iteration (s): 0.75 | learning rate: 4.528E-05 | global batch size: 256 | lm loss: 2.271574E+00 | grad norm: 0.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.959 | TFLOPs: 28.09 | 31: iteration 12680/ 16765 | consumed samples: 3246080 | consumed tokens: 6647971840 | elapsed time per iteration (s): 0.78 | learning rate: 4.516E-05 | global batch size: 256 | lm loss: 2.298929E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.234 | TFLOPs: 27.04 | 31: iteration 12690/ 16765 | consumed samples: 3248640 | consumed tokens: 6653214720 | elapsed time per iteration (s): 0.79 | learning rate: 4.504E-05 | global batch size: 256 | lm loss: 2.259139E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.153 | TFLOPs: 26.87 | 31: iteration 12700/ 16765 | consumed samples: 3251200 | consumed tokens: 6658457600 | elapsed time per iteration (s): 0.78 | learning rate: 4.493E-05 | global batch size: 256 | lm loss: 2.273032E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.630 | TFLOPs: 26.99 | 31: iteration 12710/ 16765 | consumed samples: 3253760 | consumed tokens: 6663700480 | elapsed time per iteration (s): 0.79 | learning rate: 4.481E-05 | global batch size: 256 | lm loss: 2.259533E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.474 | TFLOPs: 26.73 | 31: iteration 12720/ 16765 | consumed samples: 3256320 | consumed tokens: 6668943360 | elapsed time per iteration (s): 0.80 | learning rate: 4.469E-05 | global batch size: 256 | lm loss: 2.255027E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.272 | TFLOPs: 26.55 | 31: iteration 12730/ 16765 | consumed samples: 3258880 | consumed tokens: 6674186240 | elapsed time per iteration (s): 0.75 | learning rate: 4.458E-05 | global batch size: 256 | lm loss: 2.246526E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.841 | TFLOPs: 28.25 | 31: iteration 12740/ 16765 | consumed samples: 3261440 | consumed tokens: 6679429120 | elapsed time per iteration (s): 0.78 | learning rate: 4.446E-05 | global batch size: 256 | lm loss: 2.258929E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.316 | TFLOPs: 27.29 | 31: iteration 12750/ 16765 | consumed samples: 3264000 | consumed tokens: 6684672000 | elapsed time per iteration (s): 0.77 | learning rate: 4.435E-05 | global batch size: 256 | lm loss: 2.294692E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.047 | TFLOPs: 27.52 | 31: iteration 12760/ 16765 | consumed samples: 3266560 | consumed tokens: 6689914880 | elapsed time per iteration (s): 0.80 | learning rate: 4.423E-05 | global batch size: 256 | lm loss: 2.268042E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.691 | TFLOPs: 26.58 | 31: iteration 12770/ 16765 | consumed samples: 3269120 | consumed tokens: 6695157760 | elapsed time per iteration (s): 0.78 | learning rate: 4.411E-05 | global batch size: 256 | lm loss: 2.255663E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.932 | TFLOPs: 27.26 | 31: iteration 12780/ 16765 | consumed samples: 3271680 | consumed tokens: 6700400640 | elapsed time per iteration (s): 0.75 | learning rate: 4.400E-05 | global batch size: 256 | lm loss: 2.270971E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.724 | TFLOPs: 28.32 | 31: iteration 12790/ 16765 | consumed samples: 3274240 | consumed tokens: 6705643520 | elapsed time per iteration (s): 0.78 | learning rate: 4.389E-05 | global batch size: 256 | lm loss: 2.257669E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.482 | TFLOPs: 26.98 | 31: iteration 12800/ 16765 | consumed samples: 3276800 | consumed tokens: 6710886400 | elapsed time per iteration (s): 0.75 | learning rate: 4.377E-05 | global batch size: 256 | lm loss: 2.277139E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.288 | TFLOPs: 28.20 | 31: iteration 12810/ 16765 | consumed samples: 3279360 | consumed tokens: 6716129280 | elapsed time per iteration (s): 0.75 | learning rate: 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iteration 12900/ 16765 | consumed samples: 3302400 | consumed tokens: 6763315200 | elapsed time per iteration (s): 0.75 | learning rate: 4.264E-05 | global batch size: 256 | lm loss: 2.265838E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.342 | TFLOPs: 28.37 | 31: iteration 12910/ 16765 | consumed samples: 3304960 | consumed tokens: 6768558080 | elapsed time per iteration (s): 0.77 | learning rate: 4.253E-05 | global batch size: 256 | lm loss: 2.265592E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.025 | TFLOPs: 27.43 | 31: iteration 12920/ 16765 | consumed samples: 3307520 | consumed tokens: 6773800960 | elapsed time per iteration (s): 0.72 | learning rate: 4.242E-05 | global batch size: 256 | lm loss: 2.304000E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.333 | TFLOPs: 29.28 | 31: iteration 12930/ 16765 | consumed samples: 3310080 | consumed tokens: 6779043840 | elapsed time per iteration (s): 0.73 | learning rate: 4.230E-05 | global batch size: 256 | lm loss: 2.275647E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.580 | TFLOPs: 28.80 | 31: iteration 12940/ 16765 | consumed samples: 3312640 | consumed tokens: 6784286720 | elapsed time per iteration (s): 0.72 | learning rate: 4.219E-05 | global batch size: 256 | lm loss: 2.278501E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.729 | TFLOPs: 29.48 | 31: iteration 12950/ 16765 | consumed samples: 3315200 | consumed tokens: 6789529600 | elapsed time per iteration (s): 0.74 | learning rate: 4.208E-05 | global batch size: 256 | lm loss: 2.258210E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.194 | TFLOPs: 28.44 | 31: iteration 12960/ 16765 | consumed samples: 3317760 | consumed tokens: 6794772480 | elapsed time per iteration (s): 0.81 | learning rate: 4.197E-05 | global batch size: 256 | lm loss: 2.236632E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.200 | TFLOPs: 26.04 | 31: iteration 12970/ 16765 | consumed samples: 3320320 | consumed tokens: 6800015360 | elapsed time per iteration (s): 0.81 | learning rate: 4.186E-05 | global batch size: 256 | lm loss: 2.247664E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.752 | TFLOPs: 26.26 | 31: iteration 12980/ 16765 | consumed samples: 3322880 | consumed tokens: 6805258240 | elapsed time per iteration (s): 0.75 | learning rate: 4.175E-05 | global batch size: 256 | lm loss: 2.280322E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.524 | TFLOPs: 28.39 | 31: iteration 12990/ 16765 | consumed samples: 3325440 | consumed tokens: 6810501120 | elapsed time per iteration (s): 0.78 | learning rate: 4.164E-05 | global batch size: 256 | lm loss: 2.232993E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.429 | TFLOPs: 27.22 | 31: iteration 13000/ 16765 | consumed samples: 3328000 | consumed tokens: 6815744000 | elapsed time per iteration (s): 0.79 | learning rate: 4.153E-05 | global batch size: 256 | lm loss: 2.273657E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.290 | TFLOPs: 26.80 | 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 13000 | lm loss value: 2.223676E+00 | lm loss PPL: 9.241243E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 13010/ 16765 | consumed samples: 3330560 | consumed tokens: 6820986880 | elapsed time per iteration (s): 0.77 | learning rate: 4.142E-05 | global batch size: 256 | lm loss: 2.278976E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.664 | TFLOPs: 27.49 | 31: iteration 13020/ 16765 | consumed samples: 3333120 | consumed tokens: 6826229760 | elapsed time per iteration (s): 0.78 | learning rate: 4.131E-05 | global batch size: 256 | lm loss: 2.258459E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.452 | TFLOPs: 27.22 | 31: iteration 13030/ 16765 | consumed samples: 3335680 | consumed tokens: 6831472640 | elapsed time per iteration (s): 0.71 | learning rate: 4.120E-05 | global batch size: 256 | lm loss: 2.245455E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.704 | TFLOPs: 29.97 | 31: iteration 13040/ 16765 | consumed samples: 3338240 | consumed tokens: 6836715520 | elapsed time per iteration (s): 0.76 | learning rate: 4.110E-05 | global batch size: 256 | lm loss: 2.266180E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.728 | TFLOPs: 27.91 | 31: iteration 13050/ 16765 | consumed samples: 3340800 | consumed tokens: 6841958400 | elapsed time per iteration (s): 0.78 | learning rate: 4.099E-05 | global batch size: 256 | lm loss: 2.228164E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.272 | TFLOPs: 27.04 | 31: iteration 13060/ 16765 | consumed samples: 3343360 | consumed tokens: 6847201280 | elapsed time per iteration (s): 0.75 | learning rate: 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time per iteration (s): 0.72 | learning rate: 4.056E-05 | global batch size: 256 | lm loss: 2.255902E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.957 | TFLOPs: 29.33 | 31: iteration 13100/ 16765 | consumed samples: 3353600 | consumed tokens: 6868172800 | elapsed time per iteration (s): 0.78 | learning rate: 4.045E-05 | global batch size: 256 | lm loss: 2.288901E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.085 | TFLOPs: 27.19 | 31: iteration 13110/ 16765 | consumed samples: 3356160 | consumed tokens: 6873415680 | elapsed time per iteration (s): 0.79 | learning rate: 4.034E-05 | global batch size: 256 | lm loss: 2.256543E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.345 | TFLOPs: 26.88 | 31: iteration 13120/ 16765 | consumed samples: 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iteration 13150/ 16765 | consumed samples: 3366400 | consumed tokens: 6894387200 | elapsed time per iteration (s): 0.75 | learning rate: 3.992E-05 | global batch size: 256 | lm loss: 2.268854E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.688 | TFLOPs: 28.07 | 31: iteration 13160/ 16765 | consumed samples: 3368960 | consumed tokens: 6899630080 | elapsed time per iteration (s): 0.77 | learning rate: 3.981E-05 | global batch size: 256 | lm loss: 2.270747E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.683 | TFLOPs: 27.57 | 31: iteration 13170/ 16765 | consumed samples: 3371520 | consumed tokens: 6904872960 | elapsed time per iteration (s): 0.74 | learning rate: 3.970E-05 | global batch size: 256 | lm loss: 2.261163E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.296 | TFLOPs: 28.45 | 31: iteration 13180/ 16765 | consumed samples: 3374080 | consumed tokens: 6910115840 | elapsed time per iteration (s): 0.78 | learning rate: 3.960E-05 | global batch size: 256 | lm loss: 2.230327E+00 | grad norm: 0.191 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.304 | TFLOPs: 26.96 | 31: iteration 13190/ 16765 | consumed samples: 3376640 | consumed tokens: 6915358720 | elapsed time per iteration (s): 0.77 | learning rate: 3.949E-05 | global batch size: 256 | lm loss: 2.270494E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.373 | TFLOPs: 27.46 | 31: iteration 13200/ 16765 | consumed samples: 3379200 | consumed tokens: 6920601600 | elapsed time per iteration (s): 0.79 | learning rate: 3.939E-05 | global batch size: 256 | lm loss: 2.258602E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.197 | TFLOPs: 26.79 | 31: iteration 13210/ 16765 | consumed samples: 3381760 | consumed tokens: 6925844480 | elapsed time per iteration (s): 0.80 | learning rate: 3.928E-05 | global batch size: 256 | lm loss: 2.229231E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.437 | TFLOPs: 26.31 | 31: iteration 13220/ 16765 | consumed samples: 3384320 | consumed tokens: 6931087360 | elapsed time per iteration (s): 0.81 | learning rate: 3.918E-05 | global batch size: 256 | lm loss: 2.280698E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.748 | TFLOPs: 26.26 | 31: iteration 13230/ 16765 | consumed samples: 3386880 | consumed tokens: 6936330240 | elapsed time per iteration (s): 0.83 | learning rate: 3.908E-05 | global batch size: 256 | lm loss: 2.268477E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.606 | TFLOPs: 25.50 | 31: iteration 13240/ 16765 | consumed samples: 3389440 | consumed tokens: 6941573120 | elapsed time per iteration (s): 0.79 | learning rate: 3.897E-05 | global batch size: 256 | lm loss: 2.261696E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.591 | TFLOPs: 26.82 | 31: iteration 13250/ 16765 | consumed samples: 3392000 | consumed tokens: 6946816000 | elapsed time per iteration (s): 0.80 | learning rate: 3.887E-05 | global batch size: 256 | lm loss: 2.268112E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.521 | TFLOPs: 26.48 | 31: iteration 13260/ 16765 | consumed samples: 3394560 | consumed tokens: 6952058880 | elapsed time per iteration (s): 0.78 | learning rate: 3.877E-05 | global batch size: 256 | lm loss: 2.277912E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.588 | TFLOPs: 27.07 | 31: iteration 13270/ 16765 | consumed samples: 3397120 | consumed tokens: 6957301760 | elapsed time per iteration (s): 0.78 | learning rate: 3.866E-05 | global batch size: 256 | lm loss: 2.278925E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.321 | TFLOPs: 26.96 | 31: iteration 13280/ 16765 | consumed samples: 3399680 | consumed tokens: 6962544640 | elapsed time per iteration (s): 0.78 | learning rate: 3.856E-05 | global batch size: 256 | lm loss: 2.234369E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.460 | TFLOPs: 27.14 | 31: iteration 13290/ 16765 | consumed samples: 3402240 | consumed tokens: 6967787520 | elapsed time per iteration (s): 0.74 | learning rate: 3.846E-05 | global batch size: 256 | lm loss: 2.279283E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.914 | TFLOPs: 28.75 | 31: iteration 13300/ 16765 | consumed samples: 3404800 | consumed tokens: 6973030400 | elapsed time per iteration (s): 0.77 | learning rate: 3.835E-05 | global batch size: 256 | lm loss: 2.269691E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.132 | TFLOPs: 27.53 | 31: iteration 13310/ 16765 | consumed samples: 3407360 | consumed tokens: 6978273280 | elapsed time per iteration (s): 0.81 | learning rate: 3.825E-05 | global batch size: 256 | lm loss: 2.270314E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.091 | TFLOPs: 26.04 | 31: iteration 13320/ 16765 | consumed samples: 3409920 | consumed tokens: 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consumed samples: 3417600 | consumed tokens: 6999244800 | elapsed time per iteration (s): 0.78 | learning rate: 3.785E-05 | global batch size: 256 | lm loss: 2.252234E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.389 | TFLOPs: 26.97 | 31: iteration 13360/ 16765 | consumed samples: 3420160 | consumed tokens: 7004487680 | elapsed time per iteration (s): 0.78 | learning rate: 3.775E-05 | global batch size: 256 | lm loss: 2.262140E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.935 | TFLOPs: 27.01 | 31: iteration 13370/ 16765 | consumed samples: 3422720 | consumed tokens: 7009730560 | elapsed time per iteration (s): 0.79 | learning rate: 3.765E-05 | global batch size: 256 | lm loss: 2.258893E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.131 | TFLOPs: 26.70 | 31: iteration 13380/ 16765 | consumed samples: 3425280 | consumed tokens: 7014973440 | elapsed time per iteration (s): 0.76 | learning rate: 3.755E-05 | global batch size: 256 | lm loss: 2.254301E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.676 | TFLOPs: 27.98 | 31: iteration 13390/ 16765 | consumed samples: 3427840 | consumed tokens: 7020216320 | elapsed time per iteration (s): 0.76 | learning rate: 3.745E-05 | global batch size: 256 | lm loss: 2.263004E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.097 | TFLOPs: 27.69 | 31: iteration 13400/ 16765 | consumed samples: 3430400 | consumed tokens: 7025459200 | elapsed time per iteration (s): 0.75 | learning rate: 3.735E-05 | global batch size: 256 | lm loss: 2.264154E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.586 | TFLOPs: 28.22 | 31: iteration 13410/ 16765 | consumed samples: 3432960 | consumed tokens: 7030702080 | elapsed time per iteration (s): 0.72 | learning rate: 3.725E-05 | global batch size: 256 | lm loss: 2.287039E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.708 | TFLOPs: 29.23 | 31: iteration 13420/ 16765 | consumed samples: 3435520 | consumed tokens: 7035944960 | elapsed time per iteration (s): 0.74 | learning rate: 3.715E-05 | global batch size: 256 | lm loss: 2.297083E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.180 | TFLOPs: 28.52 | 31: iteration 13430/ 16765 | consumed samples: 3438080 | consumed tokens: 7041187840 | elapsed time per iteration (s): 0.71 | learning rate: 3.705E-05 | global batch size: 256 | lm loss: 2.243590E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.049 | TFLOPs: 29.75 | 31: iteration 13440/ 16765 | consumed samples: 3440640 | consumed tokens: 7046430720 | elapsed time per iteration (s): 0.72 | learning rate: 3.695E-05 | global batch size: 256 | lm loss: 2.256566E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.101 | TFLOPs: 29.42 | 31: iteration 13450/ 16765 | consumed samples: 3443200 | consumed tokens: 7051673600 | elapsed time per iteration (s): 0.79 | learning rate: 3.685E-05 | global batch size: 256 | lm loss: 2.269105E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.672 | TFLOPs: 26.91 | 31: iteration 13460/ 16765 | consumed samples: 3445760 | consumed tokens: 7056916480 | elapsed time per iteration (s): 0.76 | learning rate: 3.675E-05 | global batch size: 256 | lm loss: 2.282512E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.837 | TFLOPs: 27.92 | 31: iteration 13470/ 16765 | consumed samples: 3448320 | consumed tokens: 7062159360 | elapsed time per iteration (s): 0.76 | learning rate: 3.665E-05 | global batch size: 256 | lm loss: 2.231933E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.773 | TFLOPs: 27.91 | 31: iteration 13480/ 16765 | consumed samples: 3450880 | consumed tokens: 7067402240 | elapsed time per iteration (s): 0.75 | learning rate: 3.656E-05 | global batch size: 256 | lm loss: 2.252831E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.774 | TFLOPs: 28.08 | 31: iteration 13490/ 16765 | consumed samples: 3453440 | consumed tokens: 7072645120 | elapsed time per iteration (s): 0.76 | learning rate: 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iteration 13580/ 16765 | consumed samples: 3476480 | consumed tokens: 7119831040 | elapsed time per iteration (s): 0.76 | learning rate: 3.559E-05 | global batch size: 256 | lm loss: 2.257795E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.920 | TFLOPs: 28.00 | 31: iteration 13590/ 16765 | consumed samples: 3479040 | consumed tokens: 7125073920 | elapsed time per iteration (s): 0.78 | learning rate: 3.550E-05 | global batch size: 256 | lm loss: 2.246783E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.020 | TFLOPs: 27.27 | 31: iteration 13600/ 16765 | consumed samples: 3481600 | consumed tokens: 7130316800 | elapsed time per iteration (s): 0.76 | learning rate: 3.540E-05 | global batch size: 256 | lm loss: 2.297120E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.034 | TFLOPs: 28.01 | 31: iteration 13610/ 16765 | consumed samples: 3484160 | consumed tokens: 7135559680 | elapsed time per iteration (s): 0.75 | learning rate: 3.531E-05 | global batch size: 256 | lm loss: 2.263037E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.808 | TFLOPs: 28.08 | 31: iteration 13620/ 16765 | consumed samples: 3486720 | consumed tokens: 7140802560 | elapsed time per iteration (s): 0.74 | learning rate: 3.522E-05 | global batch size: 256 | lm loss: 2.244794E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.562 | TFLOPs: 28.72 | 31: iteration 13630/ 16765 | consumed samples: 3489280 | consumed tokens: 7146045440 | elapsed time per iteration (s): 0.74 | learning rate: 3.512E-05 | global batch size: 256 | lm loss: 2.264339E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.709 | TFLOPs: 28.57 | 31: iteration 13640/ 16765 | consumed samples: 3491840 | consumed tokens: 7151288320 | elapsed time per iteration (s): 0.79 | learning rate: 3.503E-05 | global batch size: 256 | lm loss: 2.237638E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.747 | TFLOPs: 26.92 | 31: iteration 13650/ 16765 | consumed samples: 3494400 | consumed tokens: 7156531200 | elapsed time per iteration (s): 0.79 | learning rate: 3.494E-05 | global batch size: 256 | lm loss: 2.274085E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.095 | TFLOPs: 26.86 | 31: iteration 13660/ 16765 | consumed samples: 3496960 | consumed tokens: 7161774080 | elapsed time per iteration (s): 0.83 | learning rate: 3.484E-05 | global batch size: 256 | lm loss: 2.254315E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.826 | TFLOPs: 25.52 | 31: iteration 13670/ 16765 | consumed samples: 3499520 | consumed tokens: 7167016960 | elapsed time per iteration (s): 0.77 | learning rate: 3.475E-05 | global batch size: 256 | lm loss: 2.279700E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.686 | TFLOPs: 27.41 | 31: iteration 13680/ 16765 | consumed samples: 3502080 | consumed tokens: 7172259840 | elapsed time per iteration (s): 0.73 | learning rate: 3.466E-05 | global batch size: 256 | lm loss: 2.246567E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.601 | TFLOPs: 28.97 | 31: iteration 13690/ 16765 | consumed samples: 3504640 | consumed tokens: 7177502720 | elapsed time per iteration (s): 0.79 | learning rate: 3.457E-05 | global batch size: 256 | lm loss: 2.268045E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.826 | TFLOPs: 26.92 | 31: iteration 13700/ 16765 | consumed samples: 3507200 | consumed tokens: 7182745600 | elapsed time per iteration (s): 0.75 | learning rate: 3.447E-05 | global batch size: 256 | lm loss: 2.286634E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.344 | TFLOPs: 28.12 | 31: iteration 13710/ 16765 | consumed samples: 3509760 | consumed tokens: 7187988480 | elapsed time per iteration (s): 0.76 | learning rate: 3.438E-05 | global batch size: 256 | lm loss: 2.254996E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.395 | TFLOPs: 27.71 | 31: iteration 13720/ 16765 | consumed samples: 3512320 | consumed tokens: 7193231360 | elapsed time per iteration (s): 0.74 | learning rate: 3.429E-05 | global batch size: 256 | lm loss: 2.232517E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.321 | TFLOPs: 28.45 | 31: iteration 13730/ 16765 | consumed samples: 3514880 | consumed tokens: 7198474240 | elapsed time per iteration (s): 0.78 | learning rate: 3.420E-05 | global batch size: 256 | lm loss: 2.264311E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.582 | TFLOPs: 27.15 | 31: iteration 13740/ 16765 | consumed samples: 3517440 | consumed tokens: 7203717120 | elapsed time per iteration (s): 0.79 | learning rate: 3.411E-05 | global batch size: 256 | lm loss: 2.269732E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.813 | TFLOPs: 26.84 | 31: iteration 13750/ 16765 | consumed samples: 3520000 | consumed tokens: 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consumed samples: 3527680 | consumed tokens: 7224688640 | elapsed time per iteration (s): 0.76 | learning rate: 3.375E-05 | global batch size: 256 | lm loss: 2.237655E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.603 | TFLOPs: 27.90 | 31: iteration 13790/ 16765 | consumed samples: 3530240 | consumed tokens: 7229931520 | elapsed time per iteration (s): 0.74 | learning rate: 3.366E-05 | global batch size: 256 | lm loss: 2.268394E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.166 | TFLOPs: 28.60 | 31: iteration 13800/ 16765 | consumed samples: 3532800 | consumed tokens: 7235174400 | elapsed time per iteration (s): 0.75 | learning rate: 3.357E-05 | global batch size: 256 | lm loss: 2.272050E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.482 | TFLOPs: 28.05 | 31: iteration 13810/ 16765 | consumed samples: 3535360 | consumed tokens: 7240417280 | elapsed time per iteration (s): 0.74 | learning rate: 3.348E-05 | global batch size: 256 | lm loss: 2.239476E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.579 | TFLOPs: 28.55 | 31: iteration 13820/ 16765 | consumed samples: 3537920 | consumed tokens: 7245660160 | elapsed time per iteration (s): 0.75 | learning rate: 3.339E-05 | global batch size: 256 | lm loss: 2.250748E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.091 | TFLOPs: 28.18 | 31: iteration 13830/ 16765 | consumed samples: 3540480 | consumed tokens: 7250903040 | elapsed time per iteration (s): 0.74 | learning rate: 3.330E-05 | global batch size: 256 | lm loss: 2.273466E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.291 | TFLOPs: 28.70 | 31: iteration 13840/ 16765 | consumed samples: 3543040 | consumed tokens: 7256145920 | elapsed time per iteration (s): 0.77 | learning rate: 3.321E-05 | global batch size: 256 | lm loss: 2.244040E+00 | grad norm: 0.189 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.397 | TFLOPs: 27.55 | 31: iteration 13850/ 16765 | consumed samples: 3545600 | consumed tokens: 7261388800 | elapsed time per iteration (s): 0.76 | learning rate: 3.313E-05 | global batch size: 256 | lm loss: 2.267283E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.166 | TFLOPs: 27.94 | 31: iteration 13860/ 16765 | consumed samples: 3548160 | consumed tokens: 7266631680 | elapsed time per iteration (s): 0.75 | learning rate: 3.304E-05 | global batch size: 256 | lm loss: 2.299887E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.547 | TFLOPs: 28.30 | 31: iteration 13870/ 16765 | consumed samples: 3550720 | consumed tokens: 7271874560 | elapsed time per iteration (s): 0.76 | learning rate: 3.295E-05 | global batch size: 256 | lm loss: 2.265920E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.231 | TFLOPs: 27.95 | 31: iteration 13880/ 16765 | consumed samples: 3553280 | consumed tokens: 7277117440 | elapsed time per iteration (s): 0.79 | learning rate: 3.286E-05 | global batch size: 256 | lm loss: 2.225311E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.631 | TFLOPs: 26.82 | 31: iteration 13890/ 16765 | consumed samples: 3555840 | consumed tokens: 7282360320 | elapsed time per iteration (s): 0.76 | learning rate: 3.278E-05 | global batch size: 256 | lm loss: 2.251105E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.412 | TFLOPs: 27.80 | 31: iteration 13900/ 16765 | consumed samples: 3558400 | consumed tokens: 7287603200 | elapsed time per iteration (s): 0.75 | learning rate: 3.269E-05 | global batch size: 256 | lm loss: 2.235683E+00 | grad norm: 0.164 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.074 | TFLOPs: 28.27 | 31: iteration 13910/ 16765 | consumed samples: 3560960 | consumed tokens: 7292846080 | elapsed time per iteration (s): 0.74 | learning rate: 3.260E-05 | global batch size: 256 | lm loss: 2.271828E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.111 | TFLOPs: 28.76 | 31: iteration 13920/ 16765 | consumed samples: 3563520 | consumed tokens: 7298088960 | elapsed time per iteration (s): 0.74 | learning rate: 3.252E-05 | global batch size: 256 | lm loss: 2.241501E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.758 | TFLOPs: 28.57 | 31: iteration 13930/ 16765 | consumed samples: 3566080 | consumed tokens: 7303331840 | elapsed time per iteration (s): 0.75 | learning rate: 3.243E-05 | global batch size: 256 | lm loss: 2.255119E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.630 | TFLOPs: 28.23 | 31: iteration 13940/ 16765 | consumed samples: 3568640 | consumed tokens: 7308574720 | elapsed time per iteration (s): 0.76 | learning rate: 3.235E-05 | global batch size: 256 | lm loss: 2.277144E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.392 | TFLOPs: 27.80 | 31: iteration 13950/ 16765 | consumed samples: 3571200 | consumed tokens: 7313817600 | elapsed time per iteration (s): 0.77 | learning rate: 3.226E-05 | global batch size: 256 | lm loss: 2.271588E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.418 | TFLOPs: 27.38 | 31: iteration 13960/ 16765 | consumed samples: 3573760 | consumed tokens: 7319060480 | elapsed time per iteration (s): 0.73 | learning rate: 3.218E-05 | global batch size: 256 | lm loss: 2.256646E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.976 | TFLOPs: 29.00 | 31: iteration 13970/ 16765 | consumed samples: 3576320 | consumed tokens: 7324303360 | elapsed time per iteration (s): 0.76 | learning rate: 3.209E-05 | global batch size: 256 | lm loss: 2.244136E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.180 | TFLOPs: 27.78 | 31: iteration 13980/ 16765 | consumed samples: 3578880 | consumed tokens: 7329546240 | elapsed time per iteration (s): 0.72 | learning rate: 3.201E-05 | global batch size: 256 | lm loss: 2.257706E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.358 | TFLOPs: 29.53 | 31: iteration 13990/ 16765 | consumed samples: 3581440 | consumed tokens: 7334789120 | elapsed time per iteration (s): 0.78 | learning rate: 3.192E-05 | global batch size: 256 | lm loss: 2.227044E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.599 | TFLOPs: 27.23 | 0: [2022-11-28 16:12:33,231] [INFO] [logging.py:68:log_dist] [Rank 0] step=14000, skipped=0, lr=[3.184020784344043e-05, 3.184020784344043e-05, 3.184020784344043e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 14000/ 16765 | consumed samples: 3584000 | consumed tokens: 7340032000 | elapsed time per iteration (s): 0.74 | learning rate: 3.184E-05 | global batch size: 256 | lm loss: 2.233452E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.451 | TFLOPs: 28.46 | 0: steps: 14000 loss: 2.2523 iter time (s): 0.792 samples/sec: 323.035 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 14000 | lm loss value: 2.193793E+00 | lm loss PPL: 8.969171E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 14010/ 16765 | consumed samples: 3586560 | consumed tokens: 7345274880 | elapsed time per iteration (s): 0.74 | learning rate: 3.176E-05 | global batch size: 256 | lm loss: 2.289344E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.243 | TFLOPs: 28.44 | 31: iteration 14020/ 16765 | consumed samples: 3589120 | consumed tokens: 7350517760 | elapsed time per iteration (s): 0.74 | learning rate: 3.167E-05 | global batch size: 256 | lm loss: 2.267186E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.622 | TFLOPs: 28.72 | 31: iteration 14030/ 16765 | consumed samples: 3591680 | consumed tokens: 7355760640 | elapsed time per iteration (s): 0.74 | learning rate: 3.159E-05 | global batch size: 256 | lm loss: 2.272940E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.141 | TFLOPs: 28.68 | 31: iteration 14040/ 16765 | consumed samples: 3594240 | consumed tokens: 7361003520 | elapsed time per iteration (s): 0.76 | learning rate: 3.151E-05 | global batch size: 256 | lm loss: 2.245160E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.331 | TFLOPs: 27.79 | 31: iteration 14050/ 16765 | consumed samples: 3596800 | consumed tokens: 7366246400 | elapsed time per iteration (s): 0.76 | learning rate: 3.143E-05 | global batch size: 256 | lm loss: 2.235283E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.995 | TFLOPs: 27.93 | 31: iteration 14060/ 16765 | consumed samples: 3599360 | consumed tokens: 7371489280 | elapsed time per iteration (s): 0.78 | learning rate: 3.134E-05 | global batch size: 256 | lm loss: 2.237222E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.140 | TFLOPs: 26.95 | 31: iteration 14070/ 16765 | consumed samples: 3601920 | consumed tokens: 7376732160 | elapsed time per iteration (s): 0.75 | learning rate: 3.126E-05 | global batch size: 256 | lm loss: 2.219480E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.908 | TFLOPs: 28.17 | 31: iteration 14080/ 16765 | consumed samples: 3604480 | consumed tokens: 7381975040 | elapsed time per iteration (s): 0.74 | learning rate: 3.118E-05 | global batch size: 256 | lm loss: 2.267558E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.658 | TFLOPs: 28.73 | 31: iteration 14090/ 16765 | consumed samples: 3607040 | consumed tokens: 7387217920 | elapsed time per iteration (s): 0.78 | learning rate: 3.110E-05 | global batch size: 256 | lm loss: 2.229670E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.420 | TFLOPs: 27.14 | 31: iteration 14100/ 16765 | consumed samples: 3609600 | consumed tokens: 7392460800 | elapsed time per iteration (s): 0.79 | learning rate: 3.102E-05 | global batch size: 256 | lm loss: 2.259990E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.744 | TFLOPs: 26.67 | 31: iteration 14110/ 16765 | consumed samples: 3612160 | consumed tokens: 7397703680 | elapsed time per iteration (s): 0.75 | learning rate: 3.094E-05 | global batch size: 256 | lm loss: 2.261875E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.047 | TFLOPs: 28.10 | 31: iteration 14120/ 16765 | consumed samples: 3614720 | consumed tokens: 7402946560 | elapsed time per iteration (s): 0.75 | learning rate: 3.086E-05 | global batch size: 256 | lm loss: 2.260633E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.100 | TFLOPs: 28.27 | 31: iteration 14130/ 16765 | consumed samples: 3617280 | consumed tokens: 7408189440 | elapsed time per iteration (s): 0.76 | learning rate: 3.078E-05 | global batch size: 256 | lm loss: 2.278086E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.875 | TFLOPs: 27.75 | 31: iteration 14140/ 16765 | consumed samples: 3619840 | consumed tokens: 7413432320 | elapsed time per iteration (s): 0.73 | learning rate: 3.070E-05 | global batch size: 256 | lm loss: 2.233580E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.781 | TFLOPs: 29.15 | 31: iteration 14150/ 16765 | consumed samples: 3622400 | consumed tokens: 7418675200 | elapsed time per iteration (s): 0.74 | learning rate: 3.062E-05 | global batch size: 256 | lm loss: 2.273178E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.271 | TFLOPs: 28.53 | 31: iteration 14160/ 16765 | consumed samples: 3624960 | consumed tokens: 7423918080 | elapsed time per iteration (s): 0.78 | learning rate: 3.054E-05 | global batch size: 256 | lm loss: 2.283898E+00 | grad norm: 0.193 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.762 | TFLOPs: 27.08 | 31: iteration 14170/ 16765 | consumed samples: 3627520 | consumed tokens: 7429160960 | elapsed time per iteration (s): 0.74 | learning rate: 3.046E-05 | global batch size: 256 | lm loss: 2.246494E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.813 | TFLOPs: 28.49 | 31: iteration 14180/ 16765 | consumed samples: 3630080 | consumed tokens: 7434403840 | elapsed time per iteration (s): 0.78 | learning rate: 3.038E-05 | global batch size: 256 | lm loss: 2.290390E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.603 | TFLOPs: 26.99 | 31: iteration 14190/ 16765 | consumed samples: 3632640 | consumed tokens: 7439646720 | elapsed time per iteration (s): 0.76 | learning rate: 3.030E-05 | global batch size: 256 | lm loss: 2.252489E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.139 | TFLOPs: 27.69 | 31: iteration 14200/ 16765 | consumed samples: 3635200 | consumed tokens: 7444889600 | elapsed time per iteration (s): 0.76 | learning rate: 3.022E-05 | global batch size: 256 | lm loss: 2.255972E+00 | grad norm: 0.184 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.606 | TFLOPs: 27.90 | 31: iteration 14210/ 16765 | consumed samples: 3637760 | consumed tokens: 7450132480 | elapsed time per iteration (s): 0.78 | learning rate: 3.014E-05 | global batch size: 256 | lm loss: 2.232798E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.210 | TFLOPs: 27.28 | 31: iteration 14220/ 16765 | consumed samples: 3640320 | consumed tokens: 7455375360 | elapsed time per iteration (s): 0.74 | learning rate: 3.007E-05 | global batch size: 256 | lm loss: 2.266150E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.338 | TFLOPs: 28.70 | 31: iteration 14230/ 16765 | consumed samples: 3642880 | consumed tokens: 7460618240 | elapsed time per iteration (s): 0.76 | learning rate: 2.999E-05 | global batch size: 256 | lm loss: 2.245996E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.389 | TFLOPs: 27.80 | 31: iteration 14240/ 16765 | consumed samples: 3645440 | consumed tokens: 7465861120 | elapsed time per iteration (s): 0.77 | learning rate: 2.991E-05 | global batch size: 256 | lm loss: 2.265928E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.041 | TFLOPs: 27.60 | 31: iteration 14250/ 16765 | consumed samples: 3648000 | consumed tokens: 7471104000 | elapsed time per iteration (s): 0.76 | learning rate: 2.983E-05 | global batch size: 256 | lm loss: 2.263076E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.606 | TFLOPs: 27.90 | 31: iteration 14260/ 16765 | consumed samples: 3650560 | consumed tokens: 7476346880 | elapsed time per iteration (s): 0.75 | learning rate: 2.976E-05 | global batch size: 256 | lm loss: 2.276868E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.860 | TFLOPs: 28.08 | 31: iteration 14270/ 16765 | consumed samples: 3653120 | consumed tokens: 7481589760 | elapsed time per iteration (s): 0.79 | learning rate: 2.968E-05 | global batch size: 256 | lm loss: 2.233243E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.480 | TFLOPs: 26.81 | 31: iteration 14280/ 16765 | consumed samples: 3655680 | consumed tokens: 7486832640 | elapsed time per iteration (s): 0.73 | learning rate: 2.961E-05 | global batch size: 256 | lm loss: 2.248513E+00 | grad norm: 0.226 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.442 | TFLOPs: 28.87 | 31: iteration 14290/ 16765 | consumed samples: 3658240 | consumed tokens: 7492075520 | elapsed time per iteration (s): 0.74 | learning rate: 2.953E-05 | global batch size: 256 | lm loss: 2.264532E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.317 | TFLOPs: 28.62 | 31: iteration 14300/ 16765 | consumed samples: 3660800 | consumed tokens: 7497318400 | elapsed time per iteration (s): 0.76 | learning rate: 2.945E-05 | global batch size: 256 | lm loss: 2.210288E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.853 | TFLOPs: 28.00 | 31: iteration 14310/ 16765 | consumed samples: 3663360 | consumed tokens: 7502561280 | elapsed time per iteration (s): 0.75 | learning rate: 2.938E-05 | global batch size: 256 | lm loss: 2.213994E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.797 | TFLOPs: 28.24 | 31: iteration 14320/ 16765 | consumed samples: 3665920 | consumed tokens: 7507804160 | elapsed time per iteration (s): 0.75 | learning rate: 2.930E-05 | global batch size: 256 | lm loss: 2.218856E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.328 | TFLOPs: 28.37 | 31: iteration 14330/ 16765 | consumed samples: 3668480 | consumed tokens: 7513047040 | elapsed time per iteration (s): 0.72 | learning rate: 2.923E-05 | global batch size: 256 | lm loss: 2.232879E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.293 | TFLOPs: 29.19 | 31: iteration 14340/ 16765 | consumed samples: 3671040 | consumed tokens: 7518289920 | elapsed time per iteration (s): 0.79 | learning rate: 2.916E-05 | global batch size: 256 | lm loss: 2.251981E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.608 | TFLOPs: 26.90 | 31: iteration 14350/ 16765 | consumed samples: 3673600 | consumed tokens: 7523532800 | elapsed time per iteration (s): 0.74 | learning rate: 2.908E-05 | global batch size: 256 | lm loss: 2.276018E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.928 | TFLOPs: 28.58 | 31: iteration 14360/ 16765 | consumed samples: 3676160 | consumed tokens: 7528775680 | elapsed time per iteration (s): 0.74 | learning rate: 2.901E-05 | global batch size: 256 | lm loss: 2.280132E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.698 | TFLOPs: 28.56 | 31: iteration 14370/ 16765 | consumed samples: 3678720 | consumed tokens: 7534018560 | elapsed time per iteration (s): 0.73 | learning rate: 2.893E-05 | global batch size: 256 | lm loss: 2.279365E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.892 | TFLOPs: 28.83 | 31: iteration 14380/ 16765 | consumed samples: 3681280 | consumed tokens: 7539261440 | elapsed time per iteration (s): 0.77 | learning rate: 2.886E-05 | global batch size: 256 | lm loss: 2.235468E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.395 | TFLOPs: 27.38 | 31: iteration 14390/ 16765 | consumed samples: 3683840 | consumed tokens: 7544504320 | elapsed time per iteration (s): 0.72 | learning rate: 2.879E-05 | global batch size: 256 | lm loss: 2.260756E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.363 | TFLOPs: 29.28 | 31: iteration 14400/ 16765 | consumed samples: 3686400 | consumed tokens: 7549747200 | elapsed time per iteration (s): 0.72 | learning rate: 2.872E-05 | global batch size: 256 | lm loss: 2.214973E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.695 | TFLOPs: 29.39 | 31: iteration 14410/ 16765 | consumed samples: 3688960 | consumed tokens: 7554990080 | elapsed time per iteration (s): 0.71 | learning rate: 2.864E-05 | global batch size: 256 | lm loss: 2.214310E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.747 | TFLOPs: 29.73 | 31: iteration 14420/ 16765 | consumed samples: 3691520 | consumed tokens: 7560232960 | elapsed time per iteration (s): 0.72 | learning rate: 2.857E-05 | global batch size: 256 | lm loss: 2.243571E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.209 | TFLOPs: 29.27 | 31: iteration 14430/ 16765 | consumed samples: 3694080 | consumed tokens: 7565475840 | elapsed time per iteration (s): 0.74 | learning rate: 2.850E-05 | global batch size: 256 | lm loss: 2.254131E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.897 | TFLOPs: 28.66 | 31: iteration 14440/ 16765 | consumed samples: 3696640 | consumed tokens: 7570718720 | elapsed time per iteration (s): 0.76 | learning rate: 2.843E-05 | global batch size: 256 | lm loss: 2.217437E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.949 | TFLOPs: 27.84 | 31: iteration 14450/ 16765 | consumed samples: 3699200 | consumed tokens: 7575961600 | elapsed time per iteration (s): 0.77 | learning rate: 2.836E-05 | global batch size: 256 | lm loss: 2.235641E+00 | grad norm: 0.192 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.457 | TFLOPs: 27.47 | 31: iteration 14460/ 16765 | consumed samples: 3701760 | consumed tokens: 7581204480 | elapsed time per iteration (s): 0.76 | learning rate: 2.829E-05 | global batch size: 256 | lm loss: 2.262233E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.389 | TFLOPs: 27.88 | 31: iteration 14470/ 16765 | consumed samples: 3704320 | consumed tokens: 7586447360 | elapsed time per iteration (s): 0.75 | learning rate: 2.822E-05 | global batch size: 256 | lm loss: 2.267315E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.101 | TFLOPs: 28.35 | 31: iteration 14480/ 16765 | consumed samples: 3706880 | consumed tokens: 7591690240 | elapsed time per iteration (s): 0.78 | learning rate: 2.814E-05 | global batch size: 256 | lm loss: 2.230309E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.063 | TFLOPs: 27.02 | 31: iteration 14490/ 16765 | consumed samples: 3709440 | consumed tokens: 7596933120 | elapsed time per iteration (s): 0.75 | learning rate: 2.807E-05 | global batch size: 256 | lm loss: 2.229084E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.455 | TFLOPs: 28.05 | 31: iteration 14500/ 16765 | consumed samples: 3712000 | consumed tokens: 7602176000 | elapsed time per iteration (s): 0.77 | learning rate: 2.801E-05 | global batch size: 256 | lm loss: 2.247886E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.197 | TFLOPs: 27.45 | 31: iteration 14510/ 16765 | consumed samples: 3714560 | consumed tokens: 7607418880 | elapsed time per iteration (s): 0.78 | learning rate: 2.794E-05 | global batch size: 256 | lm loss: 2.262231E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.763 | TFLOPs: 27.25 | 31: iteration 14520/ 16765 | consumed samples: 3717120 | consumed tokens: 7612661760 | elapsed time per iteration (s): 0.74 | learning rate: 2.787E-05 | global batch size: 256 | lm loss: 2.301024E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.168 | TFLOPs: 28.44 | 31: iteration 14530/ 16765 | consumed samples: 3719680 | consumed tokens: 7617904640 | elapsed time per iteration (s): 0.73 | learning rate: 2.780E-05 | global batch size: 256 | lm loss: 2.243085E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.237 | TFLOPs: 29.02 | 31: iteration 14540/ 16765 | consumed samples: 3722240 | consumed tokens: 7623147520 | elapsed time per iteration (s): 0.76 | learning rate: 2.773E-05 | global batch size: 256 | lm loss: 2.255836E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.631 | TFLOPs: 27.73 | 31: iteration 14550/ 16765 | consumed samples: 3724800 | consumed tokens: 7628390400 | elapsed time per iteration (s): 0.76 | learning rate: 2.766E-05 | global batch size: 256 | lm loss: 2.222551E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.823 | TFLOPs: 28.00 | 31: iteration 14560/ 16765 | consumed samples: 3727360 | consumed tokens: 7633633280 | elapsed time per iteration (s): 0.76 | learning rate: 2.759E-05 | global batch size: 256 | lm loss: 2.238970E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.420 | TFLOPs: 27.96 | 31: iteration 14570/ 16765 | consumed samples: 3729920 | consumed tokens: 7638876160 | elapsed time per iteration (s): 0.76 | learning rate: 2.752E-05 | global batch size: 256 | lm loss: 2.240624E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.128 | TFLOPs: 27.69 | 31: iteration 14580/ 16765 | consumed samples: 3732480 | consumed tokens: 7644119040 | elapsed time per iteration (s): 0.75 | learning rate: 2.746E-05 | global batch size: 256 | lm loss: 2.219746E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.473 | TFLOPs: 28.05 | 31: iteration 14590/ 16765 | consumed samples: 3735040 | consumed tokens: 7649361920 | elapsed time per iteration (s): 0.78 | learning rate: 2.739E-05 | global batch size: 256 | lm loss: 2.258464E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.949 | TFLOPs: 27.10 | 31: iteration 14600/ 16765 | consumed samples: 3737600 | consumed tokens: 7654604800 | elapsed time per iteration (s): 0.74 | learning rate: 2.732E-05 | global batch size: 256 | lm loss: 2.269872E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.382 | TFLOPs: 28.62 | 31: iteration 14610/ 16765 | consumed samples: 3740160 | consumed tokens: 7659847680 | elapsed time per iteration (s): 0.76 | learning rate: 2.726E-05 | global batch size: 256 | lm loss: 2.251497E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.959 | TFLOPs: 27.93 | 31: iteration 14620/ 16765 | consumed samples: 3742720 | consumed tokens: 7665090560 | elapsed time per iteration (s): 0.75 | learning rate: 2.719E-05 | global batch size: 256 | lm loss: 2.262157E+00 | grad norm: 0.165 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.954 | TFLOPs: 28.09 | 31: iteration 14630/ 16765 | consumed samples: 3745280 | consumed tokens: 7670333440 | elapsed time per iteration (s): 0.75 | learning rate: 2.712E-05 | global batch size: 256 | lm loss: 2.221981E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.167 | TFLOPs: 28.36 | 31: iteration 14640/ 16765 | consumed samples: 3747840 | consumed tokens: 7675576320 | elapsed time per iteration (s): 0.81 | learning rate: 2.706E-05 | global batch size: 256 | lm loss: 2.232508E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.312 | TFLOPs: 26.14 | 31: iteration 14650/ 16765 | consumed samples: 3750400 | consumed tokens: 7680819200 | elapsed time per iteration (s): 0.74 | learning rate: 2.699E-05 | global batch size: 256 | lm loss: 2.251940E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.090 | TFLOPs: 28.76 | 31: iteration 14660/ 16765 | consumed samples: 3752960 | consumed tokens: 7686062080 | elapsed time per iteration (s): 0.83 | learning rate: 2.693E-05 | global batch size: 256 | lm loss: 2.227256E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.660 | TFLOPs: 25.42 | 31: iteration 14670/ 16765 | consumed samples: 3755520 | consumed tokens: 7691304960 | elapsed time per iteration (s): 0.77 | learning rate: 2.686E-05 | global batch size: 256 | lm loss: 2.238779E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.252 | TFLOPs: 27.54 | 31: iteration 14680/ 16765 | consumed samples: 3758080 | consumed tokens: 7696547840 | elapsed time per iteration (s): 0.75 | learning rate: 2.680E-05 | global batch size: 256 | lm loss: 2.259986E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.006 | TFLOPs: 28.26 | 31: iteration 14690/ 16765 | consumed samples: 3760640 | consumed tokens: 7701790720 | elapsed time per iteration (s): 0.78 | learning rate: 2.673E-05 | global batch size: 256 | lm loss: 2.230587E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.764 | TFLOPs: 27.08 | 31: iteration 14700/ 16765 | consumed samples: 3763200 | consumed tokens: 7707033600 | elapsed time per iteration (s): 0.76 | learning rate: 2.667E-05 | global batch size: 256 | lm loss: 2.264001E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.817 | TFLOPs: 27.67 | 31: iteration 14710/ 16765 | consumed samples: 3765760 | consumed tokens: 7712276480 | elapsed time per iteration (s): 0.78 | learning rate: 2.661E-05 | global batch size: 256 | lm loss: 2.234699E+00 | grad norm: 0.161 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.793 | TFLOPs: 27.17 | 31: iteration 14720/ 16765 | consumed samples: 3768320 | consumed tokens: 7717519360 | elapsed time per iteration (s): 0.74 | learning rate: 2.654E-05 | global batch size: 256 | lm loss: 2.251429E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.921 | TFLOPs: 28.50 | 31: iteration 14730/ 16765 | consumed samples: 3770880 | consumed tokens: 7722762240 | elapsed time per iteration (s): 0.79 | learning rate: 2.648E-05 | global batch size: 256 | lm loss: 2.252031E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.141 | TFLOPs: 26.78 | 31: iteration 14740/ 16765 | consumed samples: 3773440 | consumed tokens: 7728005120 | elapsed time per iteration (s): 0.73 | learning rate: 2.642E-05 | global batch size: 256 | lm loss: 2.248272E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.802 | TFLOPs: 28.90 | 31: iteration 14750/ 16765 | consumed samples: 3776000 | consumed tokens: 7733248000 | elapsed time per iteration (s): 0.73 | learning rate: 2.636E-05 | global batch size: 256 | lm loss: 2.252402E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.392 | TFLOPs: 28.87 | 31: iteration 14760/ 16765 | consumed samples: 3778560 | consumed tokens: 7738490880 | elapsed time per iteration (s): 0.75 | learning rate: 2.629E-05 | global batch size: 256 | lm loss: 2.228273E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.585 | TFLOPs: 28.39 | 31: iteration 14770/ 16765 | consumed samples: 3781120 | consumed tokens: 7743733760 | elapsed time per iteration (s): 0.76 | learning rate: 2.623E-05 | global batch size: 256 | lm loss: 2.236621E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.631 | TFLOPs: 27.90 | 31: iteration 14780/ 16765 | consumed samples: 3783680 | consumed tokens: 7748976640 | elapsed time per iteration (s): 0.77 | learning rate: 2.617E-05 | global batch size: 256 | lm loss: 2.269415E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.052 | TFLOPs: 27.35 | 31: iteration 14790/ 16765 | consumed samples: 3786240 | consumed tokens: 7754219520 | elapsed time per iteration (s): 0.74 | learning rate: 2.611E-05 | global batch size: 256 | lm loss: 2.260982E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.524 | TFLOPs: 28.72 | 31: iteration 14800/ 16765 | consumed samples: 3788800 | consumed tokens: 7759462400 | elapsed time per iteration (s): 0.80 | learning rate: 2.605E-05 | global batch size: 256 | lm loss: 2.233375E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.240 | TFLOPs: 26.46 | 31: iteration 14810/ 16765 | consumed samples: 3791360 | consumed tokens: 7764705280 | elapsed time per iteration (s): 0.74 | learning rate: 2.599E-05 | global batch size: 256 | lm loss: 2.273504E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.995 | TFLOPs: 28.67 | 31: iteration 14820/ 16765 | consumed samples: 3793920 | consumed tokens: 7769948160 | elapsed time per iteration (s): 0.91 | learning rate: 2.593E-05 | global batch size: 256 | lm loss: 2.223233E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.814 | TFLOPs: 23.37 | 31: iteration 14830/ 16765 | consumed samples: 3796480 | consumed tokens: 7775191040 | elapsed time per iteration (s): 0.78 | learning rate: 2.587E-05 | global batch size: 256 | lm loss: 2.251091E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.771 | TFLOPs: 27.25 | 31: iteration 14840/ 16765 | consumed samples: 3799040 | consumed tokens: 7780433920 | elapsed time per iteration (s): 0.83 | learning rate: 2.581E-05 | global batch size: 256 | lm loss: 2.233698E+00 | grad norm: 0.163 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.069 | TFLOPs: 25.62 | 31: iteration 14850/ 16765 | consumed samples: 3801600 | consumed tokens: 7785676800 | elapsed time per iteration (s): 0.92 | learning rate: 2.575E-05 | global batch size: 256 | lm loss: 2.231707E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 278.729 | TFLOPs: 23.03 | 31: iteration 14860/ 16765 | consumed samples: 3804160 | consumed tokens: 7790919680 | elapsed time per iteration (s): 0.94 | learning rate: 2.569E-05 | global batch size: 256 | lm loss: 2.223858E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 271.140 | TFLOPs: 22.40 | 31: iteration 14870/ 16765 | consumed samples: 3806720 | consumed tokens: 7796162560 | elapsed time per iteration (s): 0.77 | learning rate: 2.563E-05 | global batch size: 256 | lm loss: 2.265339E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.104 | TFLOPs: 27.61 | 31: iteration 14880/ 16765 | consumed samples: 3809280 | consumed tokens: 7801405440 | elapsed time per iteration (s): 0.77 | learning rate: 2.557E-05 | global batch size: 256 | lm loss: 2.236159E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.766 | TFLOPs: 27.58 | 31: iteration 14890/ 16765 | consumed samples: 3811840 | consumed tokens: 7806648320 | elapsed time per iteration (s): 0.81 | learning rate: 2.551E-05 | global batch size: 256 | lm loss: 2.220237E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.987 | TFLOPs: 26.19 | 31: iteration 14900/ 16765 | consumed samples: 3814400 | consumed tokens: 7811891200 | elapsed time per iteration (s): 0.83 | learning rate: 2.545E-05 | global batch size: 256 | lm loss: 2.220438E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 306.914 | TFLOPs: 25.36 | 31: iteration 14910/ 16765 | consumed samples: 3816960 | consumed tokens: 7817134080 | elapsed time per iteration (s): 0.75 | learning rate: 2.540E-05 | global batch size: 256 | lm loss: 2.258713E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.352 | TFLOPs: 28.37 | 31: iteration 14920/ 16765 | consumed samples: 3819520 | consumed tokens: 7822376960 | elapsed time per iteration (s): 0.76 | learning rate: 2.534E-05 | global batch size: 256 | lm loss: 2.220161E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.825 | TFLOPs: 27.67 | 31: iteration 14930/ 16765 | consumed samples: 3822080 | consumed tokens: 7827619840 | elapsed time per iteration (s): 0.79 | learning rate: 2.528E-05 | global batch size: 256 | lm loss: 2.226834E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.453 | TFLOPs: 26.81 | 31: iteration 14940/ 16765 | consumed samples: 3824640 | consumed tokens: 7832862720 | elapsed time per iteration (s): 0.74 | learning rate: 2.523E-05 | global batch size: 256 | lm loss: 2.247364E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.750 | TFLOPs: 28.40 | 31: iteration 14950/ 16765 | consumed samples: 3827200 | consumed tokens: 7838105600 | elapsed time per iteration (s): 0.78 | learning rate: 2.517E-05 | global batch size: 256 | lm loss: 2.221173E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.199 | TFLOPs: 27.12 | 31: iteration 14960/ 16765 | consumed samples: 3829760 | consumed tokens: 7843348480 | elapsed time per iteration (s): 0.79 | learning rate: 2.511E-05 | global batch size: 256 | lm loss: 2.197278E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.637 | TFLOPs: 26.66 | 31: iteration 14970/ 16765 | consumed samples: 3832320 | consumed tokens: 7848591360 | elapsed time per iteration (s): 0.79 | learning rate: 2.506E-05 | global batch size: 256 | lm loss: 2.234964E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.180 | TFLOPs: 26.79 | 31: iteration 14980/ 16765 | consumed samples: 3834880 | consumed tokens: 7853834240 | elapsed time per iteration (s): 0.76 | learning rate: 2.500E-05 | global batch size: 256 | lm loss: 2.242860E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.505 | TFLOPs: 27.81 | 31: iteration 14990/ 16765 | consumed samples: 3837440 | consumed tokens: 7859077120 | elapsed time per iteration (s): 0.79 | learning rate: 2.495E-05 | global batch size: 256 | lm loss: 2.285390E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.570 | TFLOPs: 26.74 | 31: iteration 15000/ 16765 | consumed samples: 3840000 | consumed tokens: 7864320000 | elapsed time per iteration (s): 0.79 | learning rate: 2.489E-05 | global batch size: 256 | lm loss: 2.231335E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.629 | TFLOPs: 26.66 | 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 15000 | lm loss value: 2.243766E+00 | lm loss PPL: 9.428772E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 15010/ 16765 | consumed samples: 3842560 | consumed tokens: 7869562880 | elapsed time per iteration (s): 0.80 | learning rate: 2.484E-05 | global batch size: 256 | lm loss: 2.246371E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.237 | TFLOPs: 26.46 | 31: iteration 15020/ 16765 | consumed samples: 3845120 | consumed tokens: 7874805760 | elapsed time per iteration (s): 0.79 | learning rate: 2.478E-05 | global batch size: 256 | lm loss: 2.228580E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.437 | TFLOPs: 26.89 | 31: iteration 15030/ 16765 | consumed samples: 3847680 | consumed tokens: 7880048640 | elapsed time per iteration (s): 0.76 | learning rate: 2.473E-05 | global batch size: 256 | lm loss: 2.255559E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.405 | TFLOPs: 27.96 | 31: iteration 15040/ 16765 | consumed samples: 3850240 | consumed tokens: 7885291520 | elapsed time per iteration (s): 0.76 | learning rate: 2.467E-05 | global batch size: 256 | lm loss: 2.280610E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.419 | TFLOPs: 27.72 | 31: iteration 15050/ 16765 | consumed samples: 3852800 | consumed tokens: 7890534400 | elapsed time per iteration (s): 0.75 | learning rate: 2.462E-05 | global batch size: 256 | lm loss: 2.222858E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.910 | TFLOPs: 28.33 | 31: iteration 15060/ 16765 | consumed samples: 3855360 | consumed tokens: 7895777280 | elapsed time per iteration (s): 0.77 | learning rate: 2.457E-05 | global batch size: 256 | lm loss: 2.221759E+00 | grad norm: 0.166 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.874 | TFLOPs: 27.42 | 31: iteration 15070/ 16765 | consumed samples: 3857920 | consumed tokens: 7901020160 | elapsed time per iteration (s): 0.80 | learning rate: 2.451E-05 | global batch size: 256 | lm loss: 2.239403E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.611 | TFLOPs: 26.49 | 31: iteration 15080/ 16765 | consumed samples: 3860480 | consumed tokens: 7906263040 | elapsed time per iteration (s): 0.80 | learning rate: 2.446E-05 | global batch size: 256 | lm loss: 2.224921E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.824 | TFLOPs: 26.59 | 31: iteration 15090/ 16765 | consumed samples: 3863040 | consumed tokens: 7911505920 | elapsed time per iteration (s): 0.75 | learning rate: 2.441E-05 | global batch size: 256 | lm loss: 2.228480E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.570 | TFLOPs: 28.39 | 31: iteration 15100/ 16765 | consumed samples: 3865600 | consumed tokens: 7916748800 | elapsed time per iteration (s): 0.81 | learning rate: 2.436E-05 | global batch size: 256 | lm loss: 2.226844E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.349 | TFLOPs: 26.22 | 31: iteration 15110/ 16765 | consumed samples: 3868160 | consumed tokens: 7921991680 | elapsed time per iteration (s): 0.82 | learning rate: 2.430E-05 | global batch size: 256 | lm loss: 2.250085E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.146 | TFLOPs: 25.79 | 31: iteration 15120/ 16765 | consumed samples: 3870720 | consumed tokens: 7927234560 | elapsed time per iteration (s): 0.79 | learning rate: 2.425E-05 | global batch size: 256 | lm loss: 2.237231E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.952 | TFLOPs: 26.69 | 31: iteration 15130/ 16765 | consumed samples: 3873280 | consumed tokens: 7932477440 | elapsed time per iteration (s): 0.77 | learning rate: 2.420E-05 | global batch size: 256 | lm loss: 2.220295E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.492 | TFLOPs: 27.39 | 31: iteration 15140/ 16765 | consumed samples: 3875840 | consumed tokens: 7937720320 | elapsed time per iteration (s): 0.75 | learning rate: 2.415E-05 | 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: 340.766 | TFLOPs: 28.16 | 31: iteration 15150/ 16765 | consumed samples: 3878400 | consumed tokens: 7942963200 | elapsed time per iteration (s): 0.77 | learning rate: 2.410E-05 | global batch size: 256 | lm loss: 2.219509E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.017 | TFLOPs: 27.43 | 31: iteration 15160/ 16765 | consumed samples: 3880960 | consumed tokens: 7948206080 | elapsed time per iteration (s): 0.74 | learning rate: 2.405E-05 | global batch size: 256 | lm loss: 2.235254E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.264 | TFLOPs: 28.61 | 31: iteration 15170/ 16765 | consumed samples: 3883520 | consumed tokens: 7953448960 | elapsed time per iteration (s): 0.71 | learning rate: 2.400E-05 | global batch size: 256 | lm loss: 2.254315E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.000 | TFLOPs: 29.91 | 31: iteration 15180/ 16765 | consumed samples: 3886080 | consumed tokens: 7958691840 | elapsed time per iteration (s): 0.74 | learning rate: 2.395E-05 | global batch size: 256 | lm loss: 2.230697E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.259 | TFLOPs: 28.45 | 31: iteration 15190/ 16765 | consumed samples: 3888640 | consumed tokens: 7963934720 | elapsed time per iteration (s): 0.78 | learning rate: 2.390E-05 | global batch size: 256 | lm loss: 2.233854E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.375 | TFLOPs: 27.05 | 31: iteration 15200/ 16765 | consumed samples: 3891200 | consumed tokens: 7969177600 | elapsed time per iteration (s): 0.74 | learning rate: 2.385E-05 | global batch size: 256 | lm loss: 2.256253E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.883 | TFLOPs: 28.58 | 31: iteration 15210/ 16765 | consumed samples: 3893760 | consumed tokens: 7974420480 | elapsed time per iteration (s): 0.72 | learning rate: 2.380E-05 | global batch size: 256 | lm loss: 2.232290E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.724 | TFLOPs: 29.23 | 31: iteration 15220/ 16765 | consumed samples: 3896320 | consumed tokens: 7979663360 | elapsed time per iteration (s): 0.77 | learning rate: 2.376E-05 | global batch size: 256 | lm loss: 2.258762E+00 | grad norm: 0.187 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.693 | TFLOPs: 27.57 | 31: iteration 15230/ 16765 | consumed samples: 3898880 | consumed tokens: 7984906240 | elapsed time per iteration (s): 0.76 | learning rate: 2.371E-05 | global batch size: 256 | lm loss: 2.237943E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.847 | TFLOPs: 28.00 | 31: iteration 15240/ 16765 | consumed samples: 3901440 | consumed tokens: 7990149120 | elapsed time per iteration (s): 0.75 | learning rate: 2.366E-05 | global batch size: 256 | lm loss: 2.247252E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.870 | TFLOPs: 28.25 | 31: iteration 15250/ 16765 | consumed samples: 3904000 | consumed tokens: 7995392000 | elapsed time per iteration (s): 0.78 | learning rate: 2.361E-05 | global batch size: 256 | lm loss: 2.230123E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.743 | TFLOPs: 27.25 | 31: iteration 15260/ 16765 | consumed samples: 3906560 | consumed tokens: 8000634880 | elapsed time per iteration (s): 0.81 | learning rate: 2.357E-05 | global batch size: 256 | lm loss: 2.254406E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.390 | TFLOPs: 26.14 | 31: iteration 15270/ 16765 | consumed samples: 3909120 | consumed tokens: 8005877760 | elapsed time per iteration (s): 0.74 | learning rate: 2.352E-05 | global batch size: 256 | lm loss: 2.231933E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.760 | TFLOPs: 28.65 | 31: iteration 15280/ 16765 | consumed samples: 3911680 | consumed tokens: 8011120640 | elapsed time per iteration (s): 0.75 | learning rate: 2.347E-05 | global batch size: 256 | lm loss: 2.250453E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.672 | TFLOPs: 28.31 | 31: iteration 15290/ 16765 | consumed samples: 3914240 | consumed tokens: 8016363520 | elapsed time per iteration (s): 0.76 | learning rate: 2.343E-05 | global batch size: 256 | lm loss: 2.226124E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.674 | TFLOPs: 27.90 | 31: iteration 15300/ 16765 | consumed samples: 3916800 | consumed tokens: 8021606400 | elapsed time per iteration (s): 0.77 | learning rate: 2.338E-05 | global batch size: 256 | lm loss: 2.228882E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.278 | TFLOPs: 27.54 | 31: iteration 15310/ 16765 | consumed samples: 3919360 | consumed tokens: 8026849280 | elapsed time per iteration (s): 0.76 | learning rate: 2.333E-05 | global batch size: 256 | lm loss: 2.245432E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.474 | TFLOPs: 27.80 | 31: iteration 15320/ 16765 | consumed samples: 3921920 | consumed tokens: 8032092160 | elapsed time per iteration (s): 0.77 | learning rate: 2.329E-05 | global batch size: 256 | lm loss: 2.236962E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.397 | TFLOPs: 27.47 | 31: iteration 15330/ 16765 | consumed samples: 3924480 | consumed tokens: 8037335040 | elapsed time per iteration (s): 0.75 | learning rate: 2.324E-05 | global batch size: 256 | lm loss: 2.223200E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.853 | TFLOPs: 28.33 | 31: iteration 15340/ 16765 | consumed samples: 3927040 | consumed tokens: 8042577920 | elapsed time per iteration (s): 0.80 | learning rate: 2.320E-05 | global batch size: 256 | lm loss: 2.251578E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.006 | TFLOPs: 26.36 | 31: iteration 15350/ 16765 | consumed samples: 3929600 | consumed tokens: 8047820800 | elapsed time per iteration (s): 0.78 | learning rate: 2.315E-05 | global batch size: 256 | lm loss: 2.236559E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.076 | TFLOPs: 27.03 | 31: iteration 15360/ 16765 | consumed samples: 3932160 | consumed tokens: 8053063680 | elapsed time per iteration (s): 0.73 | learning rate: 2.311E-05 | global batch size: 256 | lm loss: 2.241807E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.364 | TFLOPs: 29.12 | 31: iteration 15370/ 16765 | consumed samples: 3934720 | consumed tokens: 8058306560 | elapsed time per iteration (s): 0.76 | learning rate: 2.307E-05 | global batch size: 256 | lm loss: 2.249279E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.659 | TFLOPs: 27.74 | 31: iteration 15380/ 16765 | consumed samples: 3937280 | consumed tokens: 8063549440 | elapsed time per iteration (s): 0.74 | learning rate: 2.302E-05 | global batch size: 256 | lm loss: 2.217038E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.756 | TFLOPs: 28.40 | 31: 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samples per second: 345.831 | TFLOPs: 28.58 | 31: iteration 15420/ 16765 | consumed samples: 3947520 | consumed tokens: 8084520960 | elapsed time per iteration (s): 0.79 | learning rate: 2.285E-05 | global batch size: 256 | lm loss: 2.259033E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.257 | TFLOPs: 26.88 | 31: iteration 15430/ 16765 | consumed samples: 3950080 | consumed tokens: 8089763840 | elapsed time per iteration (s): 0.75 | learning rate: 2.281E-05 | global batch size: 256 | lm loss: 2.235837E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.722 | TFLOPs: 28.07 | 31: iteration 15440/ 16765 | consumed samples: 3952640 | consumed tokens: 8095006720 | elapsed time per iteration (s): 0.78 | learning rate: 2.277E-05 | global batch size: 256 | lm loss: 2.234728E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.221 | TFLOPs: 27.04 | 31: iteration 15450/ 16765 | consumed samples: 3955200 | consumed tokens: 8100249600 | elapsed time per iteration (s): 0.75 | learning rate: 2.273E-05 | global batch size: 256 | lm loss: 2.246504E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.293 | TFLOPs: 28.12 | 31: iteration 15460/ 16765 | consumed samples: 3957760 | consumed tokens: 8105492480 | elapsed time per iteration (s): 0.77 | learning rate: 2.269E-05 | global batch size: 256 | lm loss: 2.245119E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.782 | TFLOPs: 27.58 | 31: iteration 15470/ 16765 | consumed samples: 3960320 | consumed tokens: 8110735360 | elapsed time per iteration (s): 0.74 | learning rate: 2.264E-05 | global batch size: 256 | lm loss: 2.243943E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.100 | TFLOPs: 28.76 | 31: iteration 15480/ 16765 | consumed samples: 3962880 | consumed tokens: 8115978240 | elapsed time per iteration (s): 0.75 | learning rate: 2.260E-05 | global batch size: 256 | lm loss: 2.247314E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.269 | TFLOPs: 28.20 | 31: iteration 15490/ 16765 | consumed samples: 3965440 | consumed tokens: 8121221120 | elapsed time per iteration (s): 0.73 | learning rate: 2.256E-05 | global batch size: 256 | lm loss: 2.236206E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.743 | TFLOPs: 29.06 | 31: iteration 15500/ 16765 | consumed samples: 3968000 | consumed tokens: 8126464000 | elapsed time per iteration (s): 0.77 | learning rate: 2.252E-05 | global batch size: 256 | lm loss: 2.240936E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.123 | TFLOPs: 27.53 | 31: iteration 15510/ 16765 | consumed samples: 3970560 | consumed tokens: 8131706880 | elapsed time per iteration (s): 0.75 | learning rate: 2.248E-05 | global batch size: 256 | lm loss: 2.249302E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.441 | TFLOPs: 28.21 | 31: iteration 15520/ 16765 | consumed samples: 3973120 | consumed tokens: 8136949760 | elapsed time per iteration (s): 0.78 | learning rate: 2.245E-05 | global batch size: 256 | lm loss: 2.242551E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.285 | TFLOPs: 27.29 | 31: iteration 15530/ 16765 | consumed samples: 3975680 | consumed tokens: 8142192640 | elapsed time per iteration (s): 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8157921280 | elapsed time per iteration (s): 0.73 | learning rate: 2.229E-05 | global batch size: 256 | lm loss: 2.241423E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.213 | TFLOPs: 29.02 | 31: iteration 15570/ 16765 | consumed samples: 3985920 | consumed tokens: 8163164160 | elapsed time per iteration (s): 0.73 | learning rate: 2.225E-05 | global batch size: 256 | lm loss: 2.230083E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.516 | TFLOPs: 29.05 | 31: iteration 15580/ 16765 | consumed samples: 3988480 | consumed tokens: 8168407040 | elapsed time per iteration (s): 0.74 | learning rate: 2.222E-05 | global batch size: 256 | lm loss: 2.236345E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.150 | TFLOPs: 28.44 | 31: iteration 15590/ 16765 | consumed samples: 3991040 | consumed tokens: 8173649920 | elapsed time per iteration (s): 0.75 | learning rate: 2.218E-05 | global batch size: 256 | lm loss: 2.261724E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.602 | TFLOPs: 28.39 | 31: iteration 15600/ 16765 | consumed samples: 3993600 | consumed tokens: 8178892800 | elapsed time per iteration (s): 0.73 | learning rate: 2.214E-05 | global batch size: 256 | lm loss: 2.242150E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.121 | TFLOPs: 29.01 | 31: iteration 15610/ 16765 | consumed samples: 3996160 | consumed tokens: 8184135680 | elapsed time per iteration (s): 0.74 | learning rate: 2.211E-05 | global batch size: 256 | lm loss: 2.255125E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.250 | TFLOPs: 28.69 | 31: iteration 15620/ 16765 | consumed samples: 3998720 | consumed tokens: 8189378560 | elapsed time per iteration (s): 0.72 | learning rate: 2.207E-05 | global batch size: 256 | lm loss: 2.219082E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.758 | TFLOPs: 29.56 | 31: iteration 15630/ 16765 | consumed samples: 4001280 | consumed tokens: 8194621440 | elapsed time per iteration (s): 0.75 | learning rate: 2.203E-05 | global batch size: 256 | lm loss: 2.252041E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.383 | TFLOPs: 28.29 | 31: iteration 15640/ 16765 | consumed samples: 4003840 | consumed tokens: 8199864320 | elapsed time per iteration (s): 0.76 | learning rate: 2.200E-05 | global batch size: 256 | lm loss: 2.244563E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.123 | TFLOPs: 27.77 | 31: iteration 15650/ 16765 | consumed samples: 4006400 | consumed tokens: 8205107200 | elapsed time per iteration (s): 0.82 | learning rate: 2.196E-05 | global batch size: 256 | lm loss: 2.276784E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.498 | TFLOPs: 25.74 | 31: iteration 15660/ 16765 | consumed samples: 4008960 | consumed tokens: 8210350080 | elapsed time per iteration (s): 0.76 | learning rate: 2.193E-05 | global batch size: 256 | lm loss: 2.211886E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.977 | TFLOPs: 27.68 | 31: iteration 15670/ 16765 | consumed samples: 4011520 | consumed tokens: 8215592960 | elapsed time per iteration (s): 0.75 | learning rate: 2.189E-05 | global batch size: 256 | lm loss: 2.238510E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.054 | TFLOPs: 28.26 | 31: iteration 15680/ 16765 | consumed samples: 4014080 | consumed tokens: 8220835840 | elapsed time per iteration (s): 0.75 | learning rate: 2.186E-05 | global batch size: 256 | lm loss: 2.225901E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.150 | TFLOPs: 28.02 | 31: iteration 15690/ 16765 | consumed samples: 4016640 | consumed tokens: 8226078720 | elapsed time per iteration (s): 0.75 | learning rate: 2.183E-05 | global batch size: 256 | lm loss: 2.263184E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.185 | TFLOPs: 28.11 | 31: iteration 15700/ 16765 | consumed samples: 4019200 | consumed tokens: 8231321600 | elapsed time per iteration (s): 0.71 | learning rate: 2.179E-05 | global batch size: 256 | lm loss: 2.243651E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.103 | TFLOPs: 29.84 | 31: iteration 15710/ 16765 | consumed samples: 4021760 | consumed tokens: 8236564480 | elapsed time per iteration (s): 0.73 | learning rate: 2.176E-05 | global batch size: 256 | lm loss: 2.254169E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.698 | TFLOPs: 28.98 | 31: iteration 15720/ 16765 | consumed samples: 4024320 | consumed tokens: 8241807360 | elapsed time per iteration (s): 0.75 | learning rate: 2.173E-05 | global batch size: 256 | lm loss: 2.261031E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.335 | TFLOPs: 28.12 | 31: iteration 15730/ 16765 | consumed samples: 4026880 | consumed tokens: 8247050240 | elapsed time per iteration (s): 0.76 | learning rate: 2.169E-05 | global batch size: 256 | lm loss: 2.250567E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.956 | TFLOPs: 27.76 | 31: iteration 15740/ 16765 | consumed samples: 4029440 | consumed tokens: 8252293120 | elapsed time per iteration (s): 0.76 | learning rate: 2.166E-05 | global batch size: 256 | lm loss: 2.245890E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.235 | TFLOPs: 27.78 | 31: iteration 15750/ 16765 | consumed samples: 4032000 | consumed tokens: 8257536000 | elapsed time per iteration (s): 0.78 | learning rate: 2.163E-05 | global batch size: 256 | lm loss: 2.237779E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.837 | TFLOPs: 27.25 | 31: iteration 15760/ 16765 | consumed samples: 4034560 | consumed tokens: 8262778880 | elapsed time per iteration (s): 0.73 | learning rate: 2.160E-05 | global batch size: 256 | lm loss: 2.249418E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.332 | TFLOPs: 28.78 | 31: iteration 15770/ 16765 | consumed samples: 4037120 | consumed tokens: 8268021760 | elapsed time per iteration (s): 0.74 | learning rate: 2.156E-05 | global batch size: 256 | lm loss: 2.246499E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.871 | TFLOPs: 28.41 | 31: iteration 15780/ 16765 | consumed samples: 4039680 | consumed tokens: 8273264640 | elapsed time per iteration (s): 0.80 | learning rate: 2.153E-05 | global batch size: 256 | lm loss: 2.224382E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.192 | TFLOPs: 26.54 | 31: iteration 15790/ 16765 | consumed samples: 4042240 | consumed tokens: 8278507520 | elapsed time per iteration (s): 0.77 | learning rate: 2.150E-05 | global batch size: 256 | lm loss: 2.222895E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.590 | TFLOPs: 27.65 | 31: iteration 15800/ 16765 | consumed samples: 4044800 | consumed tokens: 8283750400 | elapsed time per iteration (s): 0.77 | learning rate: 2.147E-05 | global batch size: 256 | lm loss: 2.219550E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.718 | TFLOPs: 27.33 | 31: iteration 15810/ 16765 | consumed samples: 4047360 | consumed tokens: 8288993280 | elapsed time per iteration (s): 0.87 | learning rate: 2.144E-05 | global batch size: 256 | lm loss: 2.204513E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 294.760 | TFLOPs: 24.36 | 31: iteration 15820/ 16765 | consumed samples: 4049920 | consumed tokens: 8294236160 | elapsed time per iteration (s): 0.81 | learning rate: 2.141E-05 | global batch size: 256 | lm loss: 2.261085E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.778 | TFLOPs: 26.01 | 31: iteration 15830/ 16765 | consumed samples: 4052480 | consumed tokens: 8299479040 | elapsed time per iteration (s): 0.80 | learning rate: 2.138E-05 | global batch size: 256 | lm loss: 2.240319E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.457 | TFLOPs: 26.48 | 31: iteration 15840/ 16765 | consumed samples: 4055040 | consumed tokens: 8304721920 | elapsed time per iteration (s): 0.76 | learning rate: 2.135E-05 | global batch size: 256 | lm loss: 2.253591E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.959 | TFLOPs: 27.76 | 31: iteration 15850/ 16765 | consumed samples: 4057600 | consumed tokens: 8309964800 | elapsed time per iteration (s): 0.80 | learning rate: 2.132E-05 | global batch size: 256 | lm loss: 2.252106E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.278 | TFLOPs: 26.30 | 31: iteration 15860/ 16765 | consumed samples: 4060160 | consumed tokens: 8315207680 | elapsed time per iteration (s): 0.83 | learning rate: 2.130E-05 | global batch size: 256 | lm loss: 2.236123E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.552 | TFLOPs: 25.41 | 31: iteration 15870/ 16765 | consumed samples: 4062720 | consumed tokens: 8320450560 | elapsed time per iteration (s): 0.79 | learning rate: 2.127E-05 | global batch size: 256 | lm loss: 2.219758E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.599 | TFLOPs: 26.90 | 31: iteration 15880/ 16765 | consumed samples: 4065280 | consumed tokens: 8325693440 | elapsed time per iteration (s): 0.75 | learning rate: 2.124E-05 | global batch size: 256 | lm loss: 2.230895E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.550 | TFLOPs: 28.30 | 31: iteration 15890/ 16765 | consumed samples: 4067840 | consumed tokens: 8330936320 | elapsed time per iteration (s): 0.76 | learning rate: 2.121E-05 | global batch size: 256 | lm loss: 2.239078E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.394 | TFLOPs: 27.80 | 31: iteration 15900/ 16765 | consumed samples: 4070400 | consumed tokens: 8336179200 | elapsed time per iteration (s): 0.78 | learning rate: 2.118E-05 | global batch size: 256 | lm loss: 2.247389E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.904 | TFLOPs: 27.18 | 31: iteration 15910/ 16765 | consumed samples: 4072960 | consumed tokens: 8341422080 | elapsed time per iteration (s): 0.81 | learning rate: 2.116E-05 | global batch size: 256 | lm loss: 2.248995E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.314 | TFLOPs: 26.22 | 31: iteration 15920/ 16765 | consumed samples: 4075520 | consumed tokens: 8346664960 | elapsed time per iteration (s): 0.79 | learning rate: 2.113E-05 | global batch size: 256 | lm loss: 2.204215E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.734 | TFLOPs: 26.75 | 31: iteration 15930/ 16765 | consumed samples: 4078080 | consumed tokens: 8351907840 | elapsed time per iteration (s): 0.76 | learning rate: 2.110E-05 | global batch size: 256 | lm loss: 2.229220E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.477 | TFLOPs: 27.80 | 31: iteration 15940/ 16765 | consumed samples: 4080640 | consumed tokens: 8357150720 | elapsed time per iteration (s): 0.78 | learning rate: 2.108E-05 | global batch size: 256 | lm loss: 2.236334E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.599 | TFLOPs: 26.99 | 31: iteration 15950/ 16765 | consumed samples: 4083200 | consumed tokens: 8362393600 | elapsed time per iteration (s): 0.76 | learning rate: 2.105E-05 | global batch size: 256 | lm loss: 2.247768E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.116 | TFLOPs: 27.69 | 31: iteration 15960/ 16765 | consumed samples: 4085760 | consumed tokens: 8367636480 | elapsed time per iteration (s): 0.77 | learning rate: 2.103E-05 | global batch size: 256 | lm loss: 2.225674E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.687 | TFLOPs: 27.32 | 31: iteration 15970/ 16765 | consumed samples: 4088320 | consumed tokens: 8372879360 | elapsed time per iteration (s): 0.75 | learning rate: 2.100E-05 | global batch size: 256 | lm loss: 2.241085E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.654 | TFLOPs: 28.07 | 31: iteration 15980/ 16765 | consumed samples: 4090880 | consumed tokens: 8378122240 | elapsed time per iteration (s): 0.75 | learning rate: 2.098E-05 | global batch size: 256 | lm loss: 2.261835E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.890 | TFLOPs: 28.25 | 31: iteration 15990/ 16765 | consumed samples: 4093440 | consumed tokens: 8383365120 | elapsed time per iteration (s): 0.80 | learning rate: 2.095E-05 | global batch size: 256 | lm loss: 2.251899E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.202 | TFLOPs: 26.46 | 0: [2022-11-28 16:38:04,433] [INFO] [logging.py:68:log_dist] [Rank 0] step=16000, skipped=0, lr=[2.0926389679508224e-05, 2.0926389679508224e-05, 2.0926389679508224e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 16000/ 16765 | consumed samples: 4096000 | consumed tokens: 8388608000 | elapsed time per iteration (s): 0.91 | learning rate: 2.093E-05 | global batch size: 256 | lm loss: 2.238780E+00 | grad norm: 0.179 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.684 | TFLOPs: 23.36 | 0: steps: 16000 loss: 2.3385 iter time (s): 0.762 samples/sec: 336.153 31: ------------------------------------------------------------------------------------------- 31: valid loss at iteration 16000 | lm loss value: 2.134755E+00 | lm loss PPL: 8.454978E+00 | 31: ------------------------------------------------------------------------------------------- 31: iteration 16010/ 16765 | consumed samples: 4098560 | consumed tokens: 8393850880 | elapsed time per iteration (s): 0.87 | learning rate: 2.090E-05 | global batch size: 256 | lm loss: 2.231852E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 293.834 | TFLOPs: 24.28 | 31: iteration 16020/ 16765 | consumed samples: 4101120 | consumed tokens: 8399093760 | elapsed time per iteration (s): 0.74 | learning rate: 2.088E-05 | global batch size: 256 | lm loss: 2.235361E+00 | grad norm: 0.190 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.655 | TFLOPs: 28.40 | 31: iteration 16030/ 16765 | consumed samples: 4103680 | consumed tokens: 8404336640 | elapsed time per iteration (s): 0.92 | learning rate: 2.086E-05 | global batch size: 256 | lm loss: 2.224741E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 277.595 | TFLOPs: 22.94 | 31: iteration 16040/ 16765 | consumed samples: 4106240 | consumed tokens: 8409579520 | elapsed time per iteration (s): 0.77 | learning rate: 2.083E-05 | global batch size: 256 | lm loss: 2.263948E+00 | grad norm: 0.186 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.060 | TFLOPs: 27.36 | 31: iteration 16050/ 16765 | consumed samples: 4108800 | consumed tokens: 8414822400 | elapsed time per iteration (s): 0.80 | learning rate: 2.081E-05 | global batch size: 256 | lm loss: 2.205472E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.597 | TFLOPs: 26.57 | 31: iteration 16060/ 16765 | consumed samples: 4111360 | consumed tokens: 8420065280 | elapsed time per iteration (s): 0.82 | learning rate: 2.079E-05 | global batch size: 256 | lm loss: 2.270280E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.925 | TFLOPs: 25.86 | 31: iteration 16070/ 16765 | consumed samples: 4113920 | consumed tokens: 8425308160 | elapsed time per iteration (s): 0.73 | learning rate: 2.076E-05 | global batch size: 256 | lm loss: 2.237358E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.896 | TFLOPs: 28.83 | 31: iteration 16080/ 16765 | consumed samples: 4116480 | consumed tokens: 8430551040 | elapsed time per iteration (s): 0.79 | learning rate: 2.074E-05 | global batch size: 256 | lm loss: 2.231133E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.539 | TFLOPs: 26.82 | 31: iteration 16090/ 16765 | consumed samples: 4119040 | consumed tokens: 8435793920 | elapsed time per iteration (s): 0.74 | learning rate: 2.072E-05 | global batch size: 256 | lm loss: 2.234509E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.909 | TFLOPs: 28.58 | 31: iteration 16100/ 16765 | consumed samples: 4121600 | consumed tokens: 8441036800 | elapsed time per iteration (s): 0.76 | learning rate: 2.070E-05 | global batch size: 256 | lm loss: 2.216947E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.529 | TFLOPs: 27.72 | 31: iteration 16110/ 16765 | consumed samples: 4124160 | consumed tokens: 8446279680 | elapsed time per iteration (s): 0.71 | learning rate: 2.068E-05 | global batch size: 256 | lm loss: 2.248782E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.554 | TFLOPs: 29.63 | 31: iteration 16120/ 16765 | consumed samples: 4126720 | consumed tokens: 8451522560 | elapsed time per iteration (s): 0.75 | learning rate: 2.066E-05 | global batch size: 256 | lm loss: 2.258384E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.642 | TFLOPs: 28.15 | 31: iteration 16130/ 16765 | consumed samples: 4129280 | consumed tokens: 8456765440 | elapsed time per iteration (s): 0.79 | learning rate: 2.064E-05 | global batch size: 256 | lm loss: 2.226530E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.467 | TFLOPs: 26.89 | 31: iteration 16140/ 16765 | consumed samples: 4131840 | consumed tokens: 8462008320 | elapsed time per iteration (s): 0.71 | learning rate: 2.062E-05 | global batch size: 256 | lm loss: 2.211454E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.161 | TFLOPs: 29.84 | 31: iteration 16150/ 16765 | consumed samples: 4134400 | consumed tokens: 8467251200 | elapsed time per iteration (s): 0.78 | learning rate: 2.060E-05 | global batch size: 256 | lm loss: 2.242269E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.100 | TFLOPs: 27.19 | 31: iteration 16160/ 16765 | consumed samples: 4136960 | consumed tokens: 8472494080 | elapsed time per iteration (s): 0.77 | learning rate: 2.058E-05 | global batch size: 256 | lm loss: 2.235453E+00 | grad norm: 0.182 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.616 | TFLOPs: 27.48 | 31: iteration 16170/ 16765 | consumed samples: 4139520 | consumed tokens: 8477736960 | elapsed time per iteration (s): 0.80 | learning rate: 2.056E-05 | global batch size: 256 | lm loss: 2.222619E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.902 | TFLOPs: 26.35 | 31: iteration 16180/ 16765 | consumed samples: 4142080 | consumed tokens: 8482979840 | elapsed time per iteration (s): 0.74 | learning rate: 2.054E-05 | global batch size: 256 | lm loss: 2.250482E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.373 | TFLOPs: 28.46 | 31: iteration 16190/ 16765 | consumed samples: 4144640 | consumed tokens: 8488222720 | elapsed time per iteration (s): 0.79 | learning rate: 2.052E-05 | global batch size: 256 | lm loss: 2.215586E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.471 | TFLOPs: 26.89 | 31: iteration 16200/ 16765 | consumed samples: 4147200 | consumed tokens: 8493465600 | elapsed time per iteration (s): 0.79 | learning rate: 2.051E-05 | global batch size: 256 | lm loss: 2.229778E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.773 | TFLOPs: 26.67 | 31: iteration 16210/ 16765 | consumed samples: 4149760 | consumed tokens: 8498708480 | elapsed time per iteration (s): 0.74 | learning rate: 2.049E-05 | global batch size: 256 | lm loss: 2.229325E+00 | grad norm: 0.181 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.117 | TFLOPs: 28.60 | 31: iteration 16220/ 16765 | consumed samples: 4152320 | consumed tokens: 8503951360 | elapsed time per iteration (s): 0.74 | learning rate: 2.047E-05 | global batch size: 256 | lm loss: 2.215223E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.750 | TFLOPs: 28.49 | 31: iteration 16230/ 16765 | consumed samples: 4154880 | consumed tokens: 8509194240 | elapsed time per iteration (s): 0.77 | learning rate: 2.045E-05 | global batch size: 256 | lm loss: 2.230034E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.341 | TFLOPs: 27.46 | 31: iteration 16240/ 16765 | consumed samples: 4157440 | consumed tokens: 8514437120 | elapsed time per iteration (s): 0.77 | learning rate: 2.044E-05 | global batch size: 256 | lm loss: 2.218929E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.929 | TFLOPs: 27.34 | 31: iteration 16250/ 16765 | consumed samples: 4160000 | consumed tokens: 8519680000 | elapsed time per iteration (s): 0.74 | learning rate: 2.042E-05 | global batch size: 256 | lm loss: 2.244589E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.275 | TFLOPs: 28.61 | 31: iteration 16260/ 16765 | consumed samples: 4162560 | consumed tokens: 8524922880 | elapsed time per iteration (s): 0.77 | learning rate: 2.040E-05 | global batch size: 256 | lm loss: 2.223048E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.724 | TFLOPs: 27.58 | 31: iteration 16270/ 16765 | consumed samples: 4165120 | consumed tokens: 8530165760 | elapsed time per iteration (s): 0.74 | learning rate: 2.039E-05 | global batch size: 256 | lm loss: 2.213415E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.284 | TFLOPs: 28.45 | 31: iteration 16280/ 16765 | consumed samples: 4167680 | consumed tokens: 8535408640 | elapsed time per iteration (s): 0.77 | learning rate: 2.037E-05 | global batch size: 256 | lm loss: 2.227528E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.264 | TFLOPs: 27.37 | 31: iteration 16290/ 16765 | consumed samples: 4170240 | consumed tokens: 8540651520 | elapsed time per iteration (s): 0.76 | learning rate: 2.036E-05 | global batch size: 256 | lm loss: 2.240293E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.926 | TFLOPs: 27.92 | 31: iteration 16300/ 16765 | consumed samples: 4172800 | consumed tokens: 8545894400 | elapsed time per iteration (s): 0.76 | learning rate: 2.034E-05 | global batch size: 256 | lm loss: 2.223874E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.022 | TFLOPs: 27.68 | 31: iteration 16310/ 16765 | consumed samples: 4175360 | consumed tokens: 8551137280 | elapsed time per iteration (s): 0.85 | learning rate: 2.033E-05 | global batch size: 256 | lm loss: 2.247737E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 302.937 | TFLOPs: 25.03 | 31: iteration 16320/ 16765 | consumed samples: 4177920 | consumed tokens: 8556380160 | elapsed time per iteration (s): 0.80 | learning rate: 2.031E-05 | global batch size: 256 | lm loss: 2.250432E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.718 | TFLOPs: 26.58 | 31: iteration 16330/ 16765 | consumed samples: 4180480 | consumed tokens: 8561623040 | elapsed time per iteration (s): 0.81 | learning rate: 2.030E-05 | global batch size: 256 | lm loss: 2.221593E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.686 | TFLOPs: 26.08 | 31: iteration 16340/ 16765 | consumed samples: 4183040 | consumed tokens: 8566865920 | elapsed time per iteration (s): 0.78 | learning rate: 2.029E-05 | global batch size: 256 | lm loss: 2.241296E+00 | grad norm: 0.168 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.858 | TFLOPs: 27.01 | 31: iteration 16350/ 16765 | consumed samples: 4185600 | consumed tokens: 8572108800 | elapsed time per iteration (s): 0.72 | learning rate: 2.027E-05 | global batch size: 256 | lm loss: 2.227141E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.329 | TFLOPs: 29.44 | 31: iteration 16360/ 16765 | consumed samples: 4188160 | consumed tokens: 8577351680 | elapsed time per iteration (s): 0.73 | learning rate: 2.026E-05 | global batch size: 256 | lm loss: 2.246278E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.113 | TFLOPs: 28.93 | 31: iteration 16370/ 16765 | consumed samples: 4190720 | consumed tokens: 8582594560 | elapsed time per iteration (s): 0.77 | learning rate: 2.025E-05 | global batch size: 256 | lm loss: 2.251576E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.070 | TFLOPs: 27.52 | 31: iteration 16380/ 16765 | consumed samples: 4193280 | consumed tokens: 8587837440 | elapsed time per iteration (s): 0.77 | learning rate: 2.024E-05 | global batch size: 256 | lm loss: 2.253117E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.017 | TFLOPs: 27.52 | 31: iteration 16390/ 16765 | consumed samples: 4195840 | consumed tokens: 8593080320 | elapsed time per iteration (s): 0.74 | learning rate: 2.022E-05 | global batch size: 256 | lm loss: 2.241400E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.900 | TFLOPs: 28.50 | 31: iteration 16400/ 16765 | consumed samples: 4198400 | consumed tokens: 8598323200 | elapsed time per iteration (s): 0.74 | learning rate: 2.021E-05 | global batch size: 256 | lm loss: 2.245747E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.917 | TFLOPs: 28.75 | 31: iteration 16410/ 16765 | consumed samples: 4200960 | consumed tokens: 8603566080 | elapsed time per iteration (s): 0.82 | learning rate: 2.020E-05 | global batch size: 256 | lm loss: 2.228105E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.993 | TFLOPs: 25.70 | 31: iteration 16420/ 16765 | consumed samples: 4203520 | consumed tokens: 8608808960 | elapsed time per iteration (s): 0.80 | learning rate: 2.019E-05 | global batch size: 256 | lm loss: 2.226110E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.952 | TFLOPs: 26.60 | 31: iteration 16430/ 16765 | consumed samples: 4206080 | consumed tokens: 8614051840 | elapsed time per iteration (s): 0.73 | learning rate: 2.018E-05 | global batch size: 256 | lm loss: 2.239576E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.959 | TFLOPs: 29.08 | 31: iteration 16440/ 16765 | consumed samples: 4208640 | consumed tokens: 8619294720 | elapsed time per iteration (s): 0.77 | learning rate: 2.017E-05 | global batch size: 256 | lm loss: 2.229821E+00 | grad norm: 0.170 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.088 | TFLOPs: 27.36 | 31: iteration 16450/ 16765 | consumed samples: 4211200 | consumed tokens: 8624537600 | elapsed time per iteration (s): 0.78 | learning rate: 2.016E-05 | global batch size: 256 | lm loss: 2.219624E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.311 | TFLOPs: 26.96 | 31: iteration 16460/ 16765 | consumed samples: 4213760 | consumed tokens: 8629780480 | elapsed time per iteration (s): 0.83 | learning rate: 2.015E-05 | global batch size: 256 | lm loss: 2.224370E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.317 | TFLOPs: 25.56 | 31: iteration 16470/ 16765 | consumed samples: 4216320 | consumed tokens: 8635023360 | elapsed time per iteration (s): 0.74 | learning rate: 2.014E-05 | global batch size: 256 | lm loss: 2.238590E+00 | grad norm: 0.169 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.143 | TFLOPs: 28.44 | 31: iteration 16480/ 16765 | consumed samples: 4218880 | consumed tokens: 8640266240 | elapsed time per iteration (s): 0.75 | learning rate: 2.013E-05 | global batch size: 256 | lm loss: 2.255344E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.237 | TFLOPs: 28.03 | 31: iteration 16490/ 16765 | consumed samples: 4221440 | consumed tokens: 8645509120 | elapsed time per iteration (s): 0.75 | learning rate: 2.012E-05 | global batch size: 256 | lm loss: 2.220865E+00 | grad norm: 0.183 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.478 | TFLOPs: 28.30 | 31: iteration 16500/ 16765 | consumed samples: 4224000 | consumed tokens: 8650752000 | elapsed time per iteration (s): 0.77 | learning rate: 2.011E-05 | global batch size: 256 | lm loss: 2.246645E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.586 | TFLOPs: 27.65 | 31: iteration 16510/ 16765 | consumed samples: 4226560 | consumed tokens: 8655994880 | elapsed time per iteration (s): 0.73 | learning rate: 2.010E-05 | global batch size: 256 | lm loss: 2.226186E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.171 | TFLOPs: 29.10 | 31: iteration 16520/ 16765 | consumed samples: 4229120 | consumed tokens: 8661237760 | elapsed time per iteration (s): 0.73 | learning rate: 2.010E-05 | global batch size: 256 | lm loss: 2.243676E+00 | grad norm: 0.177 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.795 | TFLOPs: 28.82 | 31: iteration 16530/ 16765 | consumed samples: 4231680 | consumed tokens: 8666480640 | elapsed time per iteration (s): 0.73 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 2.238012E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.528 | TFLOPs: 29.13 | 31: iteration 16540/ 16765 | consumed samples: 4234240 | consumed tokens: 8671723520 | elapsed time per iteration (s): 0.73 | learning rate: 2.008E-05 | global batch size: 256 | lm loss: 2.226929E+00 | grad norm: 0.167 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.373 | TFLOPs: 28.87 | 31: iteration 16550/ 16765 | consumed samples: 4236800 | consumed tokens: 8676966400 | elapsed time per iteration (s): 0.72 | learning rate: 2.007E-05 | global batch size: 256 | lm loss: 2.248469E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.291 | TFLOPs: 29.36 | 31: iteration 16560/ 16765 | consumed samples: 4239360 | consumed tokens: 8682209280 | elapsed time per iteration (s): 0.84 | learning rate: 2.007E-05 | global batch size: 256 | lm loss: 2.208534E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.492 | TFLOPs: 25.08 | 31: iteration 16570/ 16765 | consumed samples: 4241920 | consumed tokens: 8687452160 | elapsed time per iteration (s): 0.76 | learning rate: 2.006E-05 | global batch size: 256 | lm loss: 2.213677E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.514 | TFLOPs: 27.72 | 31: iteration 16580/ 16765 | consumed samples: 4244480 | consumed tokens: 8692695040 | elapsed time per iteration (s): 0.76 | learning rate: 2.005E-05 | global batch size: 256 | lm loss: 2.249121E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.881 | TFLOPs: 28.00 | 31: iteration 16590/ 16765 | consumed samples: 4247040 | consumed tokens: 8697937920 | elapsed time per iteration (s): 0.76 | learning rate: 2.005E-05 | global batch size: 256 | lm loss: 2.252057E+00 | grad norm: 0.178 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.545 | TFLOPs: 27.89 | 31: iteration 16600/ 16765 | consumed samples: 4249600 | consumed tokens: 8703180800 | elapsed time per iteration (s): 0.76 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.199158E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.394 | TFLOPs: 27.96 | 31: iteration 16610/ 16765 | consumed samples: 4252160 | consumed tokens: 8708423680 | elapsed time per iteration (s): 0.77 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.255029E+00 | grad norm: 0.185 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.943 | TFLOPs: 27.43 | 31: iteration 16620/ 16765 | consumed samples: 4254720 | consumed tokens: 8713666560 | elapsed time per iteration (s): 0.73 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 2.236376E+00 | grad norm: 0.188 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.953 | TFLOPs: 28.83 | 31: iteration 16630/ 16765 | consumed samples: 4257280 | consumed tokens: 8718909440 | elapsed time per iteration (s): 0.74 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 2.240361E+00 | grad norm: 0.180 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.910 | TFLOPs: 28.42 | 31: iteration 16640/ 16765 | consumed samples: 4259840 | consumed tokens: 8724152320 | elapsed time per iteration (s): 0.75 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.231011E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.254 | TFLOPs: 28.03 | 31: iteration 16650/ 16765 | consumed samples: 4262400 | consumed tokens: 8729395200 | elapsed time per iteration (s): 0.76 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.218446E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.582 | TFLOPs: 27.73 | 31: iteration 16660/ 16765 | consumed samples: 4264960 | consumed tokens: 8734638080 | elapsed time per iteration (s): 0.73 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.227640E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.360 | TFLOPs: 28.78 | 31: iteration 16670/ 16765 | consumed samples: 4267520 | consumed tokens: 8739880960 | elapsed time per iteration (s): 0.76 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.211085E+00 | grad norm: 0.172 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.257 | TFLOPs: 27.78 | 31: iteration 16680/ 16765 | consumed samples: 4270080 | consumed tokens: 8745123840 | elapsed time per iteration (s): 0.76 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.237698E+00 | grad norm: 0.174 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.726 | TFLOPs: 27.66 | 31: iteration 16690/ 16765 | consumed samples: 4272640 | consumed tokens: 8750366720 | elapsed time per iteration (s): 0.78 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.206181E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.885 | TFLOPs: 27.26 | 31: iteration 16700/ 16765 | consumed samples: 4275200 | consumed tokens: 8755609600 | elapsed time per iteration (s): 0.74 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.242217E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.189 | TFLOPs: 28.69 | 31: iteration 16710/ 16765 | consumed samples: 4277760 | consumed tokens: 8760852480 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.235911E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.186 | TFLOPs: 27.37 | 31: iteration 16720/ 16765 | consumed samples: 4280320 | consumed tokens: 8766095360 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.183658E+00 | grad norm: 0.171 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.626 | TFLOPs: 27.32 | 31: iteration 16730/ 16765 | consumed samples: 4282880 | consumed tokens: 8771338240 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.261863E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.746 | TFLOPs: 27.08 | 31: iteration 16740/ 16765 | consumed samples: 4285440 | consumed tokens: 8776581120 | elapsed time per iteration (s): 0.71 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.234879E+00 | grad norm: 0.173 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.841 | TFLOPs: 29.73 | 31: iteration 16750/ 16765 | consumed samples: 4288000 | consumed tokens: 8781824000 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.239347E+00 | grad norm: 0.176 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.177 | TFLOPs: 27.20 | 31: iteration 16760/ 16765 | consumed samples: 4290560 | consumed tokens: 8787066880 | elapsed time per iteration (s): 0.80 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.236927E+00 | grad norm: 0.175 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.076 | TFLOPs: 26.28 | 0: [after training is done] datetime: 2022-11-28 16:47:51 0: saving checkpoint at iteration 16765 to checkpoints_1b58b8 31: ------------------------------------------------------------------------------------------------------------ 31: valid loss at the end of training for val data | lm loss value: 2.228643E+00 | lm loss PPL: 9.287259E+00 | 31: ------------------------------------------------------------------------------------------------------------ 0: [2022-11-28 16:47:51,399] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step16765 is begin to save! 0: [2022-11-28 16:47:51,486] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_1b58b8/global_step16765/layer_01-model_00-model_states.pt... 0: [2022-11-28 16:47:51,942] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b58b8/global_step16765/layer_01-model_00-model_states.pt. 0: [2022-11-28 16:47:51,942] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_1b58b8/global_step16765/layer_03-model_00-model_states.pt... 0: [2022-11-28 16:47:52,058] [INFO] 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2.184569E+00 | lm loss PPL: 8.886814E+00 | 31: ------------------------------------------------------------------------------------------------------------ END 2077178: Mon Nov 28 16:48:07 EET 2022