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Expand Up @@ -408,7 +408,7 @@ data, you can use small set of hyperparmeter(d_model=128, h=8,d_v=d_k=16, num_la


## Multi-label Classification Task with transformer and BERT
you can use it two solve binary classification, multi-class classification or multi-label classification problem.
you can use it to solve binary classification, multi-class classification or multi-label classification problem.

it will print loss during training, and print f1 score for each epoch during validation.

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