01/29/2024 19:52:08 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: True, 16-bits training: True 01/29/2024 19:52:08 - INFO - __main__ - Training/evaluation parameters TrainingArguments( _n_gpu=1, adafactor=False, adam_beta1=0.9, adam_beta2=0.999, adam_epsilon=1e-08, auto_find_batch_size=False, bf16=False, bf16_full_eval=False, data_seed=None, dataloader_drop_last=False, dataloader_num_workers=0, dataloader_persistent_workers=False, dataloader_pin_memory=True, dataloader_prefetch_factor=None, ddp_backend=None, ddp_broadcast_buffers=None, ddp_bucket_cap_mb=None, ddp_find_unused_parameters=None, ddp_timeout=1800, debug=[], deepspeed=None, disable_tqdm=False, dispatch_batches=None, do_eval=True, do_predict=False, do_train=True, eval_accumulation_steps=None, eval_delay=0, eval_steps=200, evaluation_strategy=IntervalStrategy.STEPS, fp16=True, fp16_backend=auto, fp16_full_eval=False, fp16_opt_level=O1, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False}, fsdp_min_num_params=0, fsdp_transformer_layer_cls_to_wrap=None, full_determinism=False, gradient_accumulation_steps=1, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, greater_is_better=None, group_by_length=True, half_precision_backend=auto, hub_always_push=False, hub_model_id=simpragma/breeze-listen-w2v2-ml, hub_private_repo=False, hub_strategy=HubStrategy.EVERY_SAVE, hub_token=, ignore_data_skip=False, include_inputs_for_metrics=False, include_num_input_tokens_seen=False, include_tokens_per_second=False, jit_mode_eval=False, label_names=None, label_smoothing_factor=0.0, learning_rate=0.001, length_column_name=input_length, load_best_model_at_end=False, local_rank=0, log_level=passive, log_level_replica=warning, log_on_each_node=True, logging_dir=/cosmos/home/sp-operator/ai/training/models/simpragma/breeze-listen-w2v2-ml/runs/Jan29_19-52-08_knight, logging_first_step=False, logging_nan_inf_filter=True, logging_steps=500, logging_strategy=IntervalStrategy.STEPS, lr_scheduler_kwargs={}, lr_scheduler_type=SchedulerType.LINEAR, max_grad_norm=1.0, max_steps=-1, metric_for_best_model=None, mp_parameters=, neftune_noise_alpha=None, no_cuda=False, num_train_epochs=4.0, optim=OptimizerNames.ADAMW_BNB, optim_args=None, output_dir=/cosmos/home/sp-operator/ai/training/models/simpragma/breeze-listen-w2v2-ml, overwrite_output_dir=True, past_index=-1, per_device_eval_batch_size=8, per_device_train_batch_size=4, prediction_loss_only=False, push_to_hub=True, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=, ray_scope=last, remove_unused_columns=True, report_to=[], resume_from_checkpoint=None, run_name=/cosmos/home/sp-operator/ai/training/models/simpragma/breeze-listen-w2v2-ml, save_on_each_node=False, save_only_model=False, save_safetensors=True, save_steps=200, save_strategy=IntervalStrategy.STEPS, save_total_limit=3, seed=42, skip_memory_metrics=True, split_batches=False, tf32=None, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, torchdynamo=None, tpu_metrics_debug=False, tpu_num_cores=None, use_cpu=False, use_ipex=False, use_legacy_prediction_loop=False, use_mps_device=False, warmup_ratio=0.0, warmup_steps=100, weight_decay=0.0, )