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

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

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