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Can't train model from checkpoint on Google Colab because those all deleted after a few hours

I'm using Google Colab for finetuning a pre-trained model.

I successfully preprocessed a dataset and created an instance of the Seq2SeqTrainer class:

trainer = Seq2SeqTrainer(
    model,
    args,
    train_dataset=tokenized_datasets["train"],
    eval_dataset=tokenized_datasets["validation"],
    data_collator=data_collator,
    tokenizer=tokenizer,
    compute_metrics=compute_metrics
)

But the problem is training it from last checkpoint after the session is over.

If I run trainer.train() it runs well. As it takes long time I came back to Colab tab after a few hours. I know that if session got crashed I can continue training from last checkpoint like this: trainer.train("checkpoint-5500")

But the problem is that those checkpoint data no longer exist on Google Colab if I came back too late, so even though I know till what point training has been done, I will have to start all over again?

Is there any way to solve this problem?



source https://stackoverflow.com/questions/75213102/cant-train-model-from-checkpoint-on-google-colab-because-those-all-deleted-afte
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