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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] loss_scale ................... 1.0
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] memory_breakdown ............. False
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] mics_hierarchial_params_gather False
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] mics_shard_size .............. -1
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] monitor_config ............... tensorboard=TensorBoardConfig(enabled=False, output_path='', job_name='DeepSpeedJobName') wandb=WandbConfig(enabled=False, group=None, team=None, project='deepspeed') csv_monitor=CSVConfig(enabled=False, output_path='', job_name='DeepSpeedJobName') enabled=False
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] nebula_config ................ {
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"enabled": false,
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"persistent_storage_path": null,
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"persistent_time_interval": 100,
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"num_of_version_in_retention": 2,
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"enable_nebula_load": true,
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"load_path": null
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}
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] optimizer_legacy_fusion ...... False
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] optimizer_name ............... adamw
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] optimizer_params ............. {'lr': 4e-05, 'betas': [0.9, 0.999], 'eps': 1e-08, 'weight_decay': 0.01}
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0}
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] pld_enabled .................. False
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] pld_params ................... False
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] prescale_gradients ........... False
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] scheduler_name ............... None
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] scheduler_params ............. None
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] sparse_attention ............. None
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] sparse_gradients_enabled ..... False
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] steps_per_print .............. inf
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] train_batch_size ............. 8
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] train_micro_batch_size_per_gpu 2
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] use_node_local_storage ....... False
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] wall_clock_breakdown ......... True
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] world_size ................... 4
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] zero_allow_untested_optimizer False
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] zero_config .................. stage=1 contiguous_gradients=True reduce_scatter=True reduce_bucket_size=1000000000 allgather_partitions=True allgather_bucket_size=1000000000 overlap_comm=True load_from_fp32_weights=True elastic_checkpoint=False offload_param=None offload_optimizer=None sub_group_size=1,000,000,000 cpu_offload_param=None cpu_offload_use_pin_memory=None cpu_offload=None prefetch_bucket_size=50,000,000 param_persistence_threshold=100,000 model_persistence_threshold=sys.maxsize max_live_parameters=1,000,000,000 max_reuse_distance=1,000,000,000 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 zero_hpz_partition_size=1 zero_quantized_weights=False zero_quantized_gradients=False mics_shard_size=-1 mics_hierarchical_params_gather=False memory_efficient_linear=True
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] zero_enabled ................. True
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] zero_force_ds_cpu_optimizer .. True
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[2024-10-22 17:03:50,415] [INFO] [config.py:964:print] zero_optimization_stage ...... 1
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[2024-10-22 17:03:50,415] [INFO] [config.py:950:print_user_config] json = {
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"zero_optimization": {
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"stage": 1,
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"allgather_partitions": true,
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"allgather_bucket_size": 1.000000e+09,
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"overlap_comm": true,
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"reduce_scatter": true,
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"reduce_bucket_size": 1.000000e+09,
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"contiguous_gradients": true
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},
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"fp16": {
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"enabled": false,
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"auto_cast": true,
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"loss_scale": 0,
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"initial_scale_power": 32,
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"loss_scale_window": 1000,
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"hysteresis": 2,
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"min_loss_scale": 1
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},
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"bf16": {
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"enabled": true
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},
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"optimizer": {
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"type": "AdamW",
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"params": {
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"lr": 4e-05,
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"betas": [0.9, 0.999],
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"eps": 1e-08,
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"weight_decay": 0.01
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}
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},
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"gradient_accumulation_steps": 1,
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"gradient_clipping": 1.0,
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"steps_per_print": inf,
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"train_batch_size": 8,
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"train_micro_batch_size_per_gpu": 2,
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"wall_clock_breakdown": true
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}
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[INFO|trainer.py:1721] 2024-10-22 17:03:50,415 >> ***** Running training *****
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[INFO|trainer.py:1722] 2024-10-22 17:03:50,415 >> Num examples = 52,702
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[INFO|trainer.py:1723] 2024-10-22 17:03:50,415 >> Num Epochs = 4
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[INFO|trainer.py:1724] 2024-10-22 17:03:50,415 >> Instantaneous batch size per device = 2
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[INFO|trainer.py:1727] 2024-10-22 17:03:50,415 >> Total train batch size (w. parallel, distributed & accumulation) = 8
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[INFO|trainer.py:1728] 2024-10-22 17:03:50,416 >> Gradient Accumulation steps = 1
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[INFO|trainer.py:1729] 2024-10-22 17:03:50,416 >> Total optimization steps = 26,352
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[INFO|trainer.py:1730] 2024-10-22 17:03:50,418 >> Number of trainable parameters = 15,728,640
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0%| | 0/26352 [00:00<?, ?it/s][2024-10-22 17:03:52,222] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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[2024-10-22 17:03:52,236] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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[2024-10-22 17:03:52,248] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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[2024-10-22 17:03:52,251] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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[2024-10-22 17:03:55,374] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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[2024-10-22 17:03:55,532] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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[2024-10-22 17:03:55,542] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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[2024-10-22 17:03:55,546] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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[2024-10-22 17:03:58,325] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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[2024-10-22 17:03:58,628] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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[2024-10-22 17:03:58,704] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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[2024-10-22 17:03:58,712] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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[2024-10-22 17:04:01,259] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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[2024-10-22 17:04:01,561] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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[2024-10-22 17:04:01,738] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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[2024-10-22 17:04:01,747] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
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Registering VQA_lavis step
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Registering EVAL step
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