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                                            Rafay

Error in training

There are unicode characters in your file, either remove them as part of data cleansing activity or convert to `utf-8` like ``` with open('your file name', 'w', encoding='utf-8') as f:...

ValueError: Target size (torch.Size([8, 5])) must be the same as input size (torch.Size([8, 6]))

Please check your `train.csv`. Number of labels should exactly be same as specified in `xlnet_processor.py` and `bert_processor.py`. Also remove all cached files and `.pkl` files in `dataset` directory. Re-run bert...

compute precision, recall, and f1 using predicted labels

@MazenSalama kindly can you let me know if you managed to find a solution? Regards

compute precision, recall, and f1 using predicted labels

great, thank you!