Unbelievable Error: Help ME!

🤗Transformers
1

Hey Guys, I got unbelievable Error.

ValueError: You have set args.eval_strategy to steps but you didn’t pass an eval_dataset to Trainer. Either set args.eval_strategy to no or pass an eval_dataset.

My training code is:

training_args = TrainingArguments(
    output_dir="/kaggle/working/twitter-sentiment-analysis-llm",
    report_to="wandb",
    learning_rate=2e-5,
    per_device_train_batch_size=16,
    per_device_eval_batch_size=16,
    num_train_epochs=3,
    weight_decay=0.01,
    eval_strategy="steps",
    save_strategy="steps",
    load_best_model_at_end=True,
    eval_steps=500,
    save_steps=500,
    logging_steps=10,
    fp16=True,
)

trainer = Trainer(
    model=model,
    args=training_args,
    train_dataset=train_ds['train'],
    eval_dataset=train_ds['test'],
    tokenizer=tokenizer,
    data_collator=data_collator,
    compute_metrics=compute_metrics,
)

trainer.train()

I checked eval_dataset and passed it exactly. But I got an error after all training steps.

Guys, Please Help me!!

1 Like
2

There seem to be several patterns… I hope it’s not a new bug.

You can avoid this error by not specifying evaluation_strategy in TrainingArguments.

3

Thanks for your comment.
You’re right, but I 'd like to use evaluation step.

1 Like
4

+1

Any workarounds yet?

UDP: In my case it was a problem with dataset separation. Try len() both of your train and validation dataset

1 Like
5

Should we raise an issue on the github for the datasets library?:sweat_smile:
It’s not clear whether it’s a bug or not, but at the very least the error message is not appropriate.

1 Like
6

Had the same issue, was mentioned here and fixed here. pip install transformers==4.47.1 fixed it for me

2 Likes
7

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