RuntimeError: CUDA error: device-side assert triggered while eval

Describe the bug I trained a distilbert model for Classification. Now when I try to use the model to eval or predict I get a RuntimeError: CUDA error: device-side assert triggered To Reproduce Steps to reproduce the behavior: Train a model using the params ClassificationModel('distilbert', 'distilbert-base-uncased', num_labels=len(df_bert_train['labels'].unique()), args={'reprocess_input_data': True, 'overwrite_output_dir': True, 'max_seq_length': 64, 'train_batch_size':16, 'fp16':False, 'num_train_epochs': 10})

Desktop (please complete the following information):

• Linux

[ghost]

@ThilinaRajapakse Hi, Just letting you know that I faced the same error ‘RuntimeError: CUDA error: device-side assert triggered’ today with the latest version(0.22.0). After trying a lot of things to overcome it, I tried a lower version of simpletransformers(0.20.0) in the end and it worked. I was trying this example: https://towardsdatascience.com/simple-transformers-introducing-the-easiest-bert-roberta-xlnet-and-xlm-library-58bf8c59b2a3

Thanks a lot for the great wrapper 😃

[tyomik-mnemonic]

Guys use CPU (it means use_cuda = False) if u faces this situation with GPU. If problem in data u can find better exeption output, and solve problem