§ ‚b¦iãóÆ—ddlZddlmZmZddlmZddlmZddlm Z ddl m Z ej e ¦«Zee e j¦«Gd„d e ¦«¦«¦«ZdS) éN)Ú dataclassÚfield)ÚPathé)ÚGenerationConfig)ÚTrainingArguments)Úadd_start_docstringscó ‡—eZdZUdZedddi¬¦«Zeed<edddi¬¦«Zeed<ed dd i¬¦«Z e d zed <ed dd i¬¦«Z e d zed <ed ddi¬¦«Z e ezezd zed<ˆfd„ZˆxZS)ÚSeq2SeqTrainingArgumentsa® Args: predict_with_generate (`bool`, *optional*, defaults to `False`): Whether to use generate to calculate generative metrics (ROUGE, BLEU). generation_max_length (`int`, *optional*): The `max_length` to use on each evaluation loop when `predict_with_generate=True`. Will default to the `max_length` value of the model configuration. generation_num_beams (`int`, *optional*): The `num_beams` to use on each evaluation loop when `predict_with_generate=True`. Will default to the `num_beams` value of the model configuration. generation_config (`str` or `Path` or [`~generation.GenerationConfig`], *optional*): Allows to load a [`~generation.GenerationConfig`] from the `from_pretrained` method. This can be either: - a string, the *model id* of a pretrained model configuration hosted inside a model repo on huggingface.co. - a path to a *directory* containing a configuration file saved using the [`~GenerationConfig.save_pretrained`] method, e.g., `./my_model_directory/`. - a [`~generation.GenerationConfig`] object. FÚhelpz%Whether to use SortishSampler or not.)ÚdefaultÚmetadataÚsortish_samplerzFWhether to use generate to calculate generative metrics (ROUGE, BLEU).Úpredict_with_generateNz•The `max_length` to use on each evaluation loop when `predict_with_generate=True`. Will default to the `max_length` value of the model configuration.Úgeneration_max_lengthz“The `num_beams` to use on each evaluation loop when `predict_with_generate=True`. Will default to the `num_beams` value of the model configuration.Úgeneration_num_beamsz^Model id, file path or url pointing to a GenerationConfig json file, to use during prediction.Úgeneration_configcóÔ•—t¦« ¦«}| ¦«D]1\}}t|t¦«r| ¦«||<Œ2|S)zØ Serializes this instance while replace `Enum` by their values and `GenerationConfig` by dictionaries (for JSON serialization support). It obfuscates the token values by removing their value. )ÚsuperÚto_dictÚitemsÚ isinstancer)ÚselfÚdÚkÚvÚ __class__s €ú]/root/projects/butler/venv/lib/python3.11/site-packages/transformers/training_args_seq2seq.pyrz Seq2SeqTrainingArguments.to_dictOs]ø€õ ‰GŒGOŠOÑ Ô ˆØ—G’G‘I”Ið #ð #‰DˆAˆqݘ!Õ-Ñ.Ô.ð #Ø—y’y‘{”{!‘ø؈ó)Ú__name__Ú __module__Ú __qualname__Ú__doc__rrÚboolÚ__annotations__rrÚintrrÚstrrrrÚ __classcell__)rs@rr r sdø€€€€€€ððð("˜E¨%¸6ÐCjÐ:kÐlÑlÔl€OTÐlÐlÑlØ"' %Ø Ð)qÐ rð#ñ#ô#И4ððñð).¨Øà ðHð ð)ñ)ô)И3 ™:ððñð(- uØà ðGð ð(ñ(ô(И# ™*ððñð?D¸eØà Ðtð ð?ñ?ô?Ðs˜T‘zÐ$4Ñ4°tÑ;ððñð ð ð ð ð ð ð ð ð rr )ÚloggingÚ dataclassesrrÚpathlibrÚgeneration.configuration_utilsrÚ training_argsrÚutilsr Ú getLoggerr Úloggerr#r ©rrúr2sßðð€€€Ø(Ð(Ð(Ð(Ð(Ð(Ð(Ð(ØÐÐÐÐÐà<Ð<Ð<Ð<Ð<Ð<Ø,Ð,Ð,Ð,Ð,Ð,Ø'Ð'Ð'Ð'Ð'Ð'ð ˆÔ ˜8Ñ $Ô $€ð ØÐÐ'Ô/Ñ0Ô0ð<ð<ð<ð<ð<Ð0ñ<ô<ñ1Ô0ñ „ð<ð<ð<r