Evaluating a BERT Model
Learn to assess the performance of a fine-tuned BERT model.
Now that the model is trained, we can display the training evaluation.
Training evaluation
The loss and accuracy values were stored in train_loss_set, as defined at the beginning of the training loop.
The program now plots the measurements:
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