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                                            Jackthebighead

t5 training notebook issue

Hi, you can simply comment the early_stop_callback and it will work

T5FineTuner issue "in training_epoch_end avg_train_loss = torch.stack([x["loss"] for x in outputs]).mean() "

Thank @MarcosFP97 for the answer, I got the same issue and the loss is 'nan' during training. It can be solved by changing the package into the right version. And...