When training a model with Huggingface Trainer object, e.g. from Neural Plasticity - Bert2Bert on WMT14 | Kaggle from transformers import Seq2SeqTrainer, Seq2SeqTrainingArguments import os os.environ["WANDB_DISABLED"] = "true" batch_size = 2 # set training arguments - these params are not really…

The original answer on SO was referencing the correct example in huggingface docs , but had a bug in describing it. Namely, the parameter resume_from_checkpoint should be used in the train call rather than in the init.

How to continue training with HuggingFace Trainer?

🤗Transformers

vergilus September 5, 2024, 10:04am 5

trainer.train(resume_from_checkpoint=True)

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How to continue training with HuggingFace Trainer?

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