How to finetune mt0-xxl-mt(13B parameters) seq2seq_qa with deepspeed
I tried to finetune mt0-xxl-mt with the transformers official script examples/pytorch/question-answering/run_qa_seq2seq_qa.py, the machine has 8 x V100(32GB) GPU and 250GB CPU memory, but failed with OOM. Anyone can help me?this is the command:deepspeed --num_gpus 8 run_seq2seq_qa.py     --model_name_or_path bigscience/mt0-xxl-mt         --output_dir ./output         --dataset_name squad_v2         --context_column context     --question_column question         --answer_column answers        --do_train         --auto_find_batch_size         --learning_rate 3e-5   --num_train_epochs 2         --max_seq_length 512         --deepspeed ./ds_config.jsonthis is the ds_config.json:{“fp16”: {“enabled”: “auto”,“loss_scale”: 0,“loss_scale_window”: 1000,“initial_scale_power”: 16,“hysteresis”: 2,“min_loss_scale”: 1},“bf16”: {“enabled”: “auto”},“optimizer”: {“type”: “AdamW”,“params”: {“lr”: “auto”,“betas”: “auto”,“eps”: “auto”,“weight_decay”: “auto”}},“scheduler”: {“type”: “WarmupLR”,“params”: {“warmup_min_lr”: “auto”,“warmup_max_lr”: “auto”,“warmup_num_steps”: “auto”}},“zero_optimization”: {“stage”: 3,“offload_optimizer”: {“device”: “cpu”,“pin_memory”: true},“offload_param”: {“device”: “cpu”,“pin_memory”: true},“overlap_comm”: true,“contiguous_gradients”: true,“allgather_partitions”: true,“allgather_bucket_size”: 2e8,“reduce_scatter”: true,“reduce_bucket_size”: 2e8,“sub_group_size”: 1e9,“stage3_prefetch_bucket_size”: “auto”,“stage3_param_persistence_threshold”: “auto”,“stage3_max_live_parameters”: 1e9,“stage3_max_reuse_distance”: 1e9,“stage3_gather_16bit_weights_on_model_save”: true},“gradient_accumulation_steps”: “auto”,“gradient_clipping”: “auto”,“steps_per_print”: 2000,“train_batch_size”: “auto”,“train_micro_batch_size_per_gpu”: “auto”,“wall_clock_breakdown”: false}The behavior is:Time to load utils op: 0.0003857612609863281 seconds[2023-02-15 11:00:40,462] [INFO] [utils.py:831:see_memory_usage] DeepSpeedZeRoOffload initialize [begin][2023-02-15 11:00:40,463] [INFO] [utils.py:832:see_memory_usage] MA 0.0 GB         Max_MA 0.0 GB         CA 0.0 GB         Max_CA 0 GB[2023-02-15 11:00:40,463] [INFO] [utils.py:840:see_memory_usage] CPU Virtual Memory:  used = 226.3 GB, percent = 90.0%Parameter Offload: Total persistent parameters: 503808 in 124 params[2023-02-15 11:00:40,595] [INFO] [utils.py:831:see_memory_usage] DeepSpeedZeRoOffload initialize [end][2023-02-15 11:00:40,595] [INFO] [utils.py:832:see_memory_usage] MA 0.0 GB         Max_MA 0.0 GB         CA 0.0 GB         Max_CA 0 GB[2023-02-15 11:00:40,596] [INFO] [utils.py:840:see_memory_usage] CPU Virtual Memory:  used = 226.32 GB, percent = 90.0%[2023-02-15 11:00:40,700] [INFO] [utils.py:831:see_memory_usage] Before creating fp16 partitions[2023-02-15 11:00:40,701] [INFO] [utils.py:832:see_memory_usage] MA 0.0 GB         Max_MA 0.0 GB         CA 0.0 GB         Max_CA 0 GB[2023-02-15 11:00:40,702] [INFO] [utils.py:840:see_memory_usage] CPU Virtual Memory:  used = 226.33 GB, percent = 90.0%[2023-02-15 11:00:43,709] [INFO] [utils.py:831:see_memory_usage] After creating fp16 partitions: 12[2023-02-15 11:00:43,710] [INFO] [utils.py:832:see_memory_usage] MA 0.0 GB         Max_MA 0.0 GB         CA 0.0 GB         Max_CA 0 GB[2023-02-15 11:00:43,711] [INFO] [utils.py:840:see_memory_usage] CPU Virtual Memory:  used = 226.3 GB, percent = 90.0%[2023-02-15 11:00:43,807] [INFO] [utils.py:831:see_memory_usage] Before creating fp32 partitions[2023-02-15 11:00:43,807] [INFO] [utils.py:832:see_memory_usage] MA 0.0 GB         Max_MA 0.0 GB         CA 0.0 GB         Max_CA 0 GB[2023-02-15 11:00:43,808] [INFO] [utils.py:840:see_memory_usage] CPU Virtual Memory:  used = 226.32 GB, percent = 90.0%Traceback (most recent call last):File “/data/yckj1358/projects/nlg/jobs/mt0-xxl-mt/…/…//tools/REDACTED_TOKEN_seq2seq_qa.py”, line 767, inmain()File “/data/yckj1358/projects/nlg/jobs/mt0-xxl-mt/…/…//tools/REDACTED_TOKEN_seq2seq_qa.py”, line 703, in maintrain_result = trainer.train(resume_from_checkpoint=checkpoint)File “/data/yckj1358/.virtualenvs/transformers-pytorch-gpu/lib/python3.9/site-packages/transformers-4.27.0.dev0-py3.9.egg/transformers/trainer.py”, line 1571, in trainreturn inner_training_loop(File “/data/yckj1358/.virtualenvs/transformers-pytorch-gpu/lib/python3.9/site-packages/accelerate/utils/memory.py”, line 122, in decoratorraise RuntimeError(“No executable batch size found, reached zero.”)RuntimeError: No executable batch size found, reached zero.[2023-02-15 11:01:24,284] [INFO] [launch.py:318:sigkill_handler] Killing subprocess 115133