You're using a GPT2TokenizerFast 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.
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
Could not estimate the number of tokens of the input, floating-point operations will not be computed
KeyboardInterrupt
/opt/conda/lib/python3.10/site-packages/transformers/training_args.py:1474: FutureWarning: `evaluation_strategy` is deprecated and will be removed in version 4.46 of 🤗 Transformers. Use `eval_strategy` instead
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.
  warnings.warn("Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.")
/opt/conda/lib/python3.10/site-packages/transformers/tokenization_utils_base.py:2717: UserWarning: `max_length` is ignored when `padding`=`True` and there is no truncation strategy. To pad to max length, use `padding='max_length'`.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/torch/utils/checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
  warnings.warn(
/opt/conda/lib/python3.10/site-packages/peft/utils/save_and_load.py:180: UserWarning: Setting `save_embedding_layers` to `True` as embedding layers found in `target_modules`.