size mismatch for cls.predictions.decoder.bias: copying a param with shape torch.Size([31090]) from checkpoint, the shape in current model is torch.Size([31092]).
Hello, when I run the training command, the program reports an error as shown above. How to solve this problem?
i have the same question, and i adjust the config file (maybe med_config_sci.json ,depend on what config you use), there is property 'vocab_size' and set it 31090 (your vocal_size)
size mismatch for cls.predictions.decoder.bias: copying a param with shape torch.Size([31090]) from checkpoint, the shape in current model is torch.Size([31092]).
Hello, when I run the training command, the program reports an error as shown above. How to solve this problem?