Training in progress, epoch 19
Browse files- egy_training_log.txt +149 -0
- model.safetensors +1 -1
- training_args.bin +1 -1
egy_training_log.txt
CHANGED
@@ -321,3 +321,152 @@ INFO:root:Epoch 18.0: Train Loss = 1.4159, Eval Loss = 1.979936957359314
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INFO:absl:Using default tokenizer.
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INFO:__main__:*** Evaluate ***
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INFO:absl:Using default tokenizer.
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INFO:absl:Using default tokenizer.
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INFO:__main__:*** Evaluate ***
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INFO:absl:Using default tokenizer.
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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=None,
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eval_strategy=IntervalStrategy.EPOCH,
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eval_use_gather_object=False,
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evaluation_strategy=epoch,
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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_15-20-25_lmgpu-node-09,
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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.EPOCH,
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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:__main__:Checkpoint detected, resuming training at /home/iais_marenpielka/Bouthaina/results_fixed/checkpoint-8298. To avoid this behavior, change the `--output_dir` or add `--overwrite_output_dir` to train from scratch.
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INFO:datasets.builder:Using custom data configuration default-93ed01be52df6f6e
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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:Generating dataset text (/home/iais_marenpielka/.cache/huggingface/datasets/text/default-93ed01be52df6f6e/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101)
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INFO:datasets.builder:Downloading and preparing dataset text/default to /home/iais_marenpielka/.cache/huggingface/datasets/text/default-93ed01be52df6f6e/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101...
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INFO:datasets.download.download_manager:Downloading took 0.0 min
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INFO:datasets.download.download_manager:Checksum Computation took 0.0 min
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INFO:datasets.builder:Generating train split
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INFO:datasets.builder:Generating validation split
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INFO:datasets.utils.info_utils:Unable to verify splits sizes.
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INFO:datasets.builder:Dataset text downloaded and prepared to /home/iais_marenpielka/.cache/huggingface/datasets/text/default-93ed01be52df6f6e/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101. Subsequent calls will reuse this data.
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INFO:datasets.arrow_dataset:Caching processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-93ed01be52df6f6e/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-4cda59a599643701.arrow
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INFO:datasets.arrow_dataset:Caching processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-93ed01be52df6f6e/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-d82ef9a45800c64f.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:Caching processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-93ed01be52df6f6e/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-038f8e8385bf6638.arrow
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INFO:datasets.arrow_dataset:Caching processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-93ed01be52df6f6e/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-51f1e2b6546273ed.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 19.0: No losses recorded yet.
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INFO:absl:Using default tokenizer.
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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 539221632
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version https://git-lfs.github.com/spec/v1
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size 539221632
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training_args.bin
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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