23 июн. 2020 г. · When load_best_model_at_end=True , then doing trainer.state.best_model_checkpoint after training can be used to get the best model. If the best ...

9 окт. 2023 г. · What is the standard way to save model and tokenizer optionally at the end of a training run even if saving ckpting during training is true?

9 авг. 2023 г. · why i can't use EarlyStoppingCallback and load_best_model_at_end=False? I just want to save the best model at the level of each fold. Another ...

4 авг. 2022 г. · I have trained a roberta-large and specified load_best_model_at_end=True and metric_for_best_model=f1 . During training, I can see ...

24 дек. 2022 г. · Since I specified load_best_model_at_end=True in my TrainingArguments, I expected the model card to show the metrics from epoch 7. Is there a ...

7 сент. 2021 г. · I am fine-tuning a BERT model for a multiclass classification task. My problem is that I don't know how to add "early stopping" to those Trainer instances. Any ...

3 нояб. 2020 г. · I am trying to reload a fine-tuned DistilBertForTokenClassification model. I am using transformers 3.4.0 and pytorch version 1.6.0+cu101.

13 июн. 2023 г. · I am training a sequence-to-sequence model using HuggingFace Transformers' Seq2SeqTrainer. When I execute the training process, it reports the following ...

10 июн. 2023 г. · How can i solve ImportError: Using the `Trainer` with `PyTorch` requires `accelerate>=0.20. ... load_best_model_at_end = True, push_to_hub = False ...

7 февр. 2022 г. · One important thing about load_best_model_at_end is that when set to True, the parameter save_strategy needs to be the same as eval_strategy , ...