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WARNING:__main__:Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: False, 16-bits training: False |
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INFO:__main__:Training/evaluation parameters TrainingArguments( |
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_n_gpu=1, |
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accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False}, |
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adafactor=False, |
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adam_beta1=0.9, |
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adam_beta2=0.999, |
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adam_epsilon=1e-08, |
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auto_find_batch_size=False, |
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batch_eval_metrics=False, |
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bf16=False, |
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bf16_full_eval=False, |
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data_seed=None, |
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dataloader_drop_last=False, |
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dataloader_num_workers=0, |
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dataloader_persistent_workers=False, |
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dataloader_pin_memory=True, |
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dataloader_prefetch_factor=None, |
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ddp_backend=None, |
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ddp_broadcast_buffers=None, |
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ddp_bucket_cap_mb=None, |
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ddp_find_unused_parameters=None, |
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ddp_timeout=1800, |
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debug=[], |
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deepspeed=None, |
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disable_tqdm=False, |
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dispatch_batches=None, |
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do_eval=True, |
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do_predict=False, |
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do_train=True, |
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eval_accumulation_steps=None, |
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eval_delay=0, |
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eval_do_concat_batches=True, |
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eval_on_start=False, |
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eval_steps=500, |
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eval_strategy=IntervalStrategy.STEPS, |
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eval_use_gather_object=False, |
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evaluation_strategy=steps, |
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fp16=False, |
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fp16_backend=auto, |
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fp16_full_eval=False, |
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fp16_opt_level=O1, |
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fsdp=[], |
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fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, |
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fsdp_min_num_params=0, |
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fsdp_transformer_layer_cls_to_wrap=None, |
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full_determinism=False, |
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gradient_accumulation_steps=1, |
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gradient_checkpointing=False, |
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gradient_checkpointing_kwargs=None, |
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greater_is_better=False, |
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group_by_length=False, |
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half_precision_backend=auto, |
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hub_always_push=False, |
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hub_model_id=None, |
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hub_private_repo=False, |
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hub_strategy=HubStrategy.EVERY_SAVE, |
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hub_token=<HUB_TOKEN>, |
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ignore_data_skip=False, |
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include_inputs_for_metrics=False, |
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include_num_input_tokens_seen=False, |
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include_tokens_per_second=False, |
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jit_mode_eval=False, |
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label_names=None, |
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label_smoothing_factor=0.0, |
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learning_rate=5e-05, |
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length_column_name=length, |
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load_best_model_at_end=True, |
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local_rank=0, |
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log_level=passive, |
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log_level_replica=warning, |
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log_on_each_node=True, |
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logging_dir=/home/iais_marenpielka/Bouthaina/results_fixed/runs/Aug25_13-33-53_lmgpu-node-04, |
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logging_first_step=False, |
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logging_nan_inf_filter=True, |
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logging_steps=500, |
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logging_strategy=IntervalStrategy.STEPS, |
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lr_scheduler_kwargs={}, |
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lr_scheduler_type=SchedulerType.LINEAR, |
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max_grad_norm=1.0, |
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max_steps=-1, |
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metric_for_best_model=loss, |
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mp_parameters=, |
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neftune_noise_alpha=None, |
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no_cuda=False, |
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num_train_epochs=20.0, |
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optim=OptimizerNames.ADAMW_TORCH, |
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optim_args=None, |
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optim_target_modules=None, |
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output_dir=/home/iais_marenpielka/Bouthaina/results_fixed, |
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overwrite_output_dir=False, |
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past_index=-1, |
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per_device_eval_batch_size=8, |
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per_device_train_batch_size=8, |
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prediction_loss_only=False, |
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push_to_hub=True, |
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push_to_hub_model_id=None, |
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push_to_hub_organization=None, |
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push_to_hub_token=<PUSH_TO_HUB_TOKEN>, |
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ray_scope=last, |
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remove_unused_columns=True, |
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report_to=[], |
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restore_callback_states_from_checkpoint=False, |
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resume_from_checkpoint=None, |
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run_name=/home/iais_marenpielka/Bouthaina/results_fixed, |
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save_on_each_node=False, |
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save_only_model=False, |
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save_safetensors=True, |
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save_steps=500, |
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save_strategy=IntervalStrategy.STEPS, |
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save_total_limit=None, |
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seed=42, |
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skip_memory_metrics=True, |
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split_batches=None, |
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tf32=None, |
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torch_compile=False, |
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torch_compile_backend=None, |
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torch_compile_mode=None, |
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torch_empty_cache_steps=None, |
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torchdynamo=None, |
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tpu_metrics_debug=False, |
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tpu_num_cores=None, |
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use_cpu=False, |
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use_ipex=False, |
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use_legacy_prediction_loop=False, |
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use_mps_device=False, |
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warmup_ratio=0.0, |
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warmup_steps=500, |
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weight_decay=0.0, |
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) |
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INFO:datasets.builder:Using custom data configuration default-c90064c89aa4f4b8 |
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INFO:datasets.info:Loading Dataset Infos from /home/iais_marenpielka/Bouthaina/miniconda3/lib/python3.12/site-packages/datasets/packaged_modules/text |
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INFO:datasets.builder:Overwrite dataset info from restored data version if exists. |
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INFO:datasets.info:Loading Dataset info from /home/iais_marenpielka/.cache/huggingface/datasets/text/default-c90064c89aa4f4b8/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101 |
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INFO:datasets.builder:Found cached dataset text (/home/iais_marenpielka/.cache/huggingface/datasets/text/default-c90064c89aa4f4b8/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101) |
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INFO:datasets.info:Loading Dataset info from /home/iais_marenpielka/.cache/huggingface/datasets/text/default-c90064c89aa4f4b8/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101 |
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INFO:datasets.arrow_dataset:Loading cached processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-c90064c89aa4f4b8/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-c0ee57decace0f18.arrow |
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INFO:datasets.arrow_dataset:Loading cached processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-c90064c89aa4f4b8/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-de0da9023cfd9691.arrow |
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WARNING:__main__:The tokenizer picked seems to have a very large `model_max_length` (1000000000000000019884624838656). Using block_size=768 instead. You can change that default value by passing --block_size xxx. |
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INFO:datasets.arrow_dataset:Loading cached processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-c90064c89aa4f4b8/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-8a18d3af082678db.arrow |
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INFO:datasets.arrow_dataset:Loading cached processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-c90064c89aa4f4b8/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-840375b4a2e73fb1.arrow |
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WARNING:accelerate.utils.other:Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher. |
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WARNING:root:Epoch 1.0: No losses recorded yet. |
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INFO:absl:Using default tokenizer. |
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