egy_training_log.txt

WARNING:__main__:Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: False, 16-bits training: False
INFO:__main__:Training/evaluation parameters TrainingArguments(
_n_gpu=1,
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},
adafactor=False,
adam_beta1=0.9,
adam_beta2=0.999,
adam_epsilon=1e-08,
auto_find_batch_size=False,
batch_eval_metrics=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_do_concat_batches=True,
eval_on_start=False,
eval_steps=None,
eval_strategy=IntervalStrategy.EPOCH,
eval_use_gather_object=False,
evaluation_strategy=epoch,
fp16=False,
fp16_backend=auto,
fp16_full_eval=False,
fp16_opt_level=O1,
fsdp=[],
fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': 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=False,
gradient_checkpointing_kwargs=None,
greater_is_better=False,
group_by_length=False,
half_precision_backend=auto,
hub_always_push=False,
hub_model_id=None,
hub_private_repo=False,
hub_strategy=HubStrategy.EVERY_SAVE,
hub_token=<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=5e-05,
length_column_name=length,
load_best_model_at_end=True,
local_rank=0,
log_level=passive,
log_level_replica=warning,
log_on_each_node=True,
logging_dir=/home/iais_marenpielka/Bouthaina/res_nw_yem/runs/Aug31_18-23-30_lmgpu-node-09,
logging_first_step=False,
logging_nan_inf_filter=True,
logging_steps=500,
logging_strategy=IntervalStrategy.EPOCH,
lr_scheduler_kwargs={},
lr_scheduler_type=SchedulerType.LINEAR,
max_grad_norm=1.0,
max_steps=-1,
metric_for_best_model=loss,
mp_parameters=,
neftune_noise_alpha=None,
no_cuda=False,
num_train_epochs=20.0,
optim=OptimizerNames.ADAMW_TORCH,
optim_args=None,
optim_target_modules=None,
output_dir=/home/iais_marenpielka/Bouthaina/res_nw_yem,
overwrite_output_dir=False,
past_index=-1,
per_device_eval_batch_size=8,
per_device_train_batch_size=8,
prediction_loss_only=False,
push_to_hub=True,
push_to_hub_model_id=None,
push_to_hub_organization=None,
push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
ray_scope=last,
remove_unused_columns=True,
report_to=[],
restore_callback_states_from_checkpoint=False,
resume_from_checkpoint=None,
run_name=/home/iais_marenpielka/Bouthaina/res_nw_yem,
save_on_each_node=False,
save_only_model=False,
save_safetensors=True,
save_steps=500,
save_strategy=IntervalStrategy.EPOCH,
save_total_limit=None,
seed=42,
skip_memory_metrics=True,
split_batches=None,
tf32=None,
torch_compile=False,
torch_compile_backend=None,
torch_compile_mode=None,
torch_empty_cache_steps=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=500,
weight_decay=0.0,
)
INFO:datasets.builder:Using custom data configuration default-553f61aee4dda760
INFO:datasets.info:Loading Dataset Infos from /home/iais_marenpielka/Bouthaina/miniconda3/lib/python3.12/site-packages/datasets/packaged_modules/text
INFO:datasets.builder:Generating dataset text (/home/iais_marenpielka/.cache/huggingface/datasets/text/default-553f61aee4dda760/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101)
INFO:datasets.builder:Downloading and preparing dataset text/default to /home/iais_marenpielka/.cache/huggingface/datasets/text/default-553f61aee4dda760/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101...
INFO:datasets.download.download_manager:Downloading took 0.0 min
INFO:datasets.download.download_manager:Checksum Computation took 0.0 min
INFO:datasets.builder:Generating train split
INFO:datasets.builder:Generating validation split
INFO:datasets.utils.info_utils:Unable to verify splits sizes.
INFO:datasets.builder:Dataset text downloaded and prepared to /home/iais_marenpielka/.cache/huggingface/datasets/text/default-553f61aee4dda760/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101. Subsequent calls will reuse this data.
INFO:datasets.arrow_dataset:Caching processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-553f61aee4dda760/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-0c0ca65a5faa1c69.arrow
INFO:datasets.arrow_dataset:Caching processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-553f61aee4dda760/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-ff33919083e7cfc3.arrow
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.
INFO:datasets.arrow_dataset:Caching processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-553f61aee4dda760/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-b67d61859d143d55.arrow
INFO:datasets.arrow_dataset:Caching processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-553f61aee4dda760/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-b5882b385151b146.arrow
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.
INFO:root:Epoch 1.0: Train Loss = None, Eval Loss = None
INFO:absl:Using default tokenizer.
INFO:root:Epoch 2.0: Train Loss = 7.8314, Eval Loss = 2.359743595123291
INFO:absl:Using default tokenizer.
WARNING:huggingface_hub.utils._http:'(MaxRetryError("HTTPSConnectionPool(host='hf-hub-lfs-us-east-1.s3-accelerate.amazonaws.com', port=443): Max retries exceeded with url: /repos/4e/c5/4ec5c12bd4b31fb218515ee480d86e26419d948a9a596a06a6ad09ce77d37e3a/deff7f99580238a45f3ba2bc7047e31a358560b58dc3266d8058c6e623cbfa0f?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA2JU7TKAQLC2QXPN7%2F20240831%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240831T182623Z&X-Amz-Expires=86400&X-Amz-Signature=e2b8cc4c6a6039dd14e9fd45f97285bd8f4c36e3b9f82774a0533eb3ab485699&X-Amz-SignedHeaders=host&partNumber=30&uploadId=1pifW86uMHklMcYfwNTOkTEVjye.aOXHsYNw1UiFajy5ulD2SMmE7lXK11IQuIa2xOtCET.QPTYOMxy0LOMBKD1rWT_Aq4IFRTZ.IqMHIpcpxuwSEUr.74Jrxu7CFsaq&x-id=UploadPart (Caused by SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:2406)')))"), '(Request ID: 45c28252-333d-4bd7-bdae-103a87df191a)')' thrown while requesting PUT https://hf-hub-lfs-us-east-1.s3-accelerate.amazonaws.com/repos/4e/c5/4ec5c12bd4b31fb218515ee480d86e26419d948a9a596a06a6ad09ce77d37e3a/deff7f99580238a45f3ba2bc7047e31a358560b58dc3266d8058c6e623cbfa0f?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA2JU7TKAQLC2QXPN7%2F20240831%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20240831T182623Z&X-Amz-Expires=86400&X-Amz-Signature=e2b8cc4c6a6039dd14e9fd45f97285bd8f4c36e3b9f82774a0533eb3ab485699&X-Amz-SignedHeaders=host&partNumber=30&uploadId=1pifW86uMHklMcYfwNTOkTEVjye.aOXHsYNw1UiFajy5ulD2SMmE7lXK11IQuIa2xOtCET.QPTYOMxy0LOMBKD1rWT_Aq4IFRTZ.IqMHIpcpxuwSEUr.74Jrxu7CFsaq&x-id=UploadPart
WARNING:huggingface_hub.utils._http:Retrying in 1s [Retry 1/5].
INFO:root:Epoch 3.0: Train Loss = 0.9995, Eval Loss = 0.5537932515144348
INFO:absl:Using default tokenizer.
INFO:root:Epoch 4.0: Train Loss = 0.4848, Eval Loss = 0.5034472942352295
INFO:absl:Using default tokenizer.
INFO:root:Epoch 5.0: Train Loss = 0.3823, Eval Loss = 0.4827471375465393
INFO:absl:Using default tokenizer.
INFO:root:Epoch 6.0: Train Loss = 0.293, Eval Loss = 0.4732062816619873
INFO:absl:Using default tokenizer.
INFO:root:Epoch 7.0: Train Loss = 0.2239, Eval Loss = 0.47202983498573303
INFO:absl:Using default tokenizer.
INFO:root:Epoch 8.0: Train Loss = 0.1766, Eval Loss = 0.47373390197753906
INFO:absl:Using default tokenizer.
INFO:root:Epoch 9.0: Train Loss = 0.1434, Eval Loss = 0.47583380341529846
INFO:absl:Using default tokenizer.
INFO:root:Epoch 10.0: Train Loss = 0.1202, Eval Loss = 0.4827924072742462