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InternVL

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[2024-10-22 17:11:40,056] [INFO] [config.py:964:print] train_batch_size ............. 8
[2024-10-22 17:11:40,056] [INFO] [config.py:964:print] train_micro_batch_size_per_gpu 2
[2024-10-22 17:11:40,056] [INFO] [config.py:964:print] use_node_local_storage ....... False
[2024-10-22 17:11:40,056] [INFO] [config.py:964:print] wall_clock_breakdown ......... True
[2024-10-22 17:11:40,056] [INFO] [config.py:964:print] world_size ................... 4
[2024-10-22 17:11:40,056] [INFO] [config.py:964:print] zero_allow_untested_optimizer False
[2024-10-22 17:11:40,056] [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
[2024-10-22 17:11:40,056] [INFO] [config.py:964:print] zero_enabled ................. True
[2024-10-22 17:11:40,056] [INFO] [config.py:964:print] zero_force_ds_cpu_optimizer .. True
[2024-10-22 17:11:40,056] [INFO] [config.py:964:print] zero_optimization_stage ...... 1
[2024-10-22 17:11:40,056] [INFO] [config.py:950:print_user_config] json = {
"zero_optimization": {
"stage": 1,
"allgather_partitions": true,
"allgather_bucket_size": 1.000000e+09,
"overlap_comm": true,
"reduce_scatter": true,
"reduce_bucket_size": 1.000000e+09,
"contiguous_gradients": true
},
"fp16": {
"enabled": false,
"auto_cast": true,
"loss_scale": 0,
"initial_scale_power": 32,
"loss_scale_window": 1000,
"hysteresis": 2,
"min_loss_scale": 1
},
"bf16": {
"enabled": true
},
"optimizer": {
"type": "AdamW",
"params": {
"lr": 4e-05,
"betas": [0.9, 0.999],
"eps": 1e-08,
"weight_decay": 0.01
}
},
"gradient_accumulation_steps": 1,
"gradient_clipping": 1.0,
"steps_per_print": inf,
"train_batch_size": 8,
"train_micro_batch_size_per_gpu": 2,
"wall_clock_breakdown": true
}
[INFO|trainer.py:1721] 2024-10-22 17:11:40,056 >> ***** Running training *****
[INFO|trainer.py:1722] 2024-10-22 17:11:40,056 >> Num examples = 52,702
[INFO|trainer.py:1723] 2024-10-22 17:11:40,056 >> Num Epochs = 4
[INFO|trainer.py:1724] 2024-10-22 17:11:40,056 >> Instantaneous batch size per device = 2
[INFO|trainer.py:1727] 2024-10-22 17:11:40,056 >> Total train batch size (w. parallel, distributed & accumulation) = 8
[INFO|trainer.py:1728] 2024-10-22 17:11:40,056 >> Gradient Accumulation steps = 1
[INFO|trainer.py:1729] 2024-10-22 17:11:40,056 >> Total optimization steps = 26,352
[INFO|trainer.py:1730] 2024-10-22 17:11:40,059 >> Number of trainable parameters = 15,728,640
0%| | 0/26352 [00:00<?, ?it/s][2024-10-22 17:11:41,796] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-10-22 17:11:41,826] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-10-22 17:11:41,829] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-10-22 17:11:41,831] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-10-22 17:11:44,924] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-10-22 17:11:44,933] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-10-22 17:11:44,993] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-10-22 17:11:45,002] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-10-22 17:11:47,941] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-10-22 17:11:47,962] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-10-22 17:11:48,102] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-10-22 17:11:48,113] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-10-22 17:12:04,677] torch.distributed.run: [WARNING]
[2024-10-22 17:12:04,677] torch.distributed.run: [WARNING] *****************************************
[2024-10-22 17:12:04,677] torch.distributed.run: [WARNING] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.
[2024-10-22 17:12:04,677] torch.distributed.run: [WARNING] *****************************************
[2024-10-22 17:12:06,381] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-10-22 17:12:06,402] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-10-22 17:12:06,408] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-10-22 17:12:06,413] [INFO] [real_accelerator.py:133:get_accelerator] Setting ds_accelerator to cuda (auto detect)
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
petrel_client is not installed. If you read data locally instead of from ceph, ignore it.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
Replace train sampler!!
petrel_client is not installed. Using PIL to load images.
[2024-10-22 17:12:09,535] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2024-10-22 17:12:09,535] [INFO] [comm.py:616:init_distributed] cdb=None
[2024-10-22 17:12:09,535] [INFO] [comm.py:643:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
[2024-10-22 17:12:09,786] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2024-10-22 17:12:09,787] [INFO] [comm.py:616:init_distributed] cdb=None
[2024-10-22 17:12:09,801] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2024-10-22 17:12:09,801] [INFO] [comm.py:616:init_distributed] cdb=None
10/22/2024 17:12:09 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1distributed training: True, 16-bits training: False
10/22/2024 17:12:09 - INFO - __main__ - Training/evaluation parameters TrainingArguments(
_n_gpu=1,
adafactor=False,