Hi all, while using Trainer to train a BERT model, I receive the following error/warning: “Not all data has been set. Are you sure you passed all values?” I’m not able to fix it and it seems to calculate the wrong metrics. I assume because of the missing data. About my setup: I want to train a B…

I believe this is the same problem as in this topic . Make sure your model outputs tuples if you want to use it with Trainer. And your compute_loss should have a return_outputs argument to work well with the last version of transformers.

Thanks for the quick replay. I tried your suggestion from the other thread. But it still throws the same error. Is my return value of the loss function still wrong? Here my new loss function: def compute_loss(self, model, inputs, return_outputs = False): labels = inputs.pop("labels") out…

Error/warning: Not all data has been set. Are you sure you passed all values?

Beginners

maxpower March 5, 2021, 10:34am 4

Solved the problem with this solution: https://huggingface.co/proxy/discuss.huggingface.co/t/fine-tune-for-multiclass-or-multilabel-multiclass/4035/8

Topic		Replies	Views
Data format for BertForSequenceClassification with num_labels > 2 Beginners	5	5051	August 2, 2021
Multilabel text classification Trainer API Beginners	8	23092	August 2, 2023
Multi-label token classification 🤗Transformers	34	8512	September 6, 2023
Fine-tuning multilingual BERT for sequence classification with Trainer API Beginners	7	767	December 12, 2023
Loss error for bert token classifier Beginners	11	631	December 4, 2021

Error/warning: Not all data has been set. Are you sure you passed all values?

Related topics