nohup: ignoring input
/opt/conda/envs/pytorch/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers.
  warnings.warn(

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/opt/conda/envs/pytorch/lib/python3.10/site-packages/transformers/utils/hub.py:374: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers.
  warnings.warn(
Repo card metadata block was not found. Setting CardData to empty.
/opt/conda/envs/pytorch/lib/python3.10/site-packages/peft/utils/other.py:122: FutureWarning: prepare_model_for_int8_training is deprecated and will be removed in a future version. Use prepare_model_for_kbit_training instead.
  warnings.warn(
Using pad_token, but it is not set yet.

  0%|          | 0/1848 [00:00<?, ?it/s]You're using a LlamaTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.
`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...

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{'loss': 1.5526, 'learning_rate': 1.4092370129870131e-05, 'epoch': 0.0}
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{'loss': 1.212, 'learning_rate': 1.2375649350649351e-05, 'epoch': 0.37}
{'loss': 1.3254, 'learning_rate': 1.2368019480519481e-05, 'epoch': 0.37}
{'loss': 1.2686, 'learning_rate': 1.236038961038961e-05, 'epoch': 0.37}
{'loss': 1.1731, 'learning_rate': 1.235275974025974e-05, 'epoch': 0.37}
{'loss': 1.2323, 'learning_rate': 1.234512987012987e-05, 'epoch': 0.37}
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{'loss': 1.3241, 'learning_rate': 1.232987012987013e-05, 'epoch': 0.38}
{'loss': 1.485, 'learning_rate': 1.232224025974026e-05, 'epoch': 0.38}
{'loss': 1.1528, 'learning_rate': 1.231461038961039e-05, 'epoch': 0.38}
{'loss': 1.2282, 'learning_rate': 1.230698051948052e-05, 'epoch': 0.38}
{'loss': 1.2526, 'learning_rate': 1.229935064935065e-05, 'epoch': 0.38}
{'loss': 1.3231, 'learning_rate': 1.229172077922078e-05, 'epoch': 0.38}
{'loss': 1.3807, 'learning_rate': 1.228409090909091e-05, 'epoch': 0.39}
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{'loss': 1.2446, 'learning_rate': 2.9222402597402596e-06, 'epoch': 2.38}
{'loss': 1.3008, 'learning_rate': 2.9146103896103896e-06, 'epoch': 2.38}
{'loss': 1.4, 'learning_rate': 2.9069805194805197e-06, 'epoch': 2.38}
{'loss': 1.0083, 'learning_rate': 2.8993506493506494e-06, 'epoch': 2.38}
{'loss': 1.1907, 'learning_rate': 2.8917207792207794e-06, 'epoch': 2.38}
{'loss': 1.2511, 'learning_rate': 2.8840909090909095e-06, 'epoch': 2.39}
{'loss': 1.1685, 'learning_rate': 2.8764610389610387e-06, 'epoch': 2.39}
{'loss': 1.1932, 'learning_rate': 2.868831168831169e-06, 'epoch': 2.39}

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