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debug bert_trainer #1

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4 changes: 2 additions & 2 deletions bert/bert_trainer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -105,7 +105,7 @@ def train_epoch(self, model, data_loader, loss_fn, optimizer, device, scheduler,
scheduler.step()
optimizer.zero_grad()

avg_train_avg = float(correct_predictions) / float(len(data_loader))*10
avg_train_avg = float(correct_predictions) / float(len(data_loader.dataset))*100
# Calculate the average loss over all of the batches.
avg_train_loss = total_train_loss / len(data_loader)

Expand Down Expand Up @@ -173,7 +173,7 @@ def eval_model(self, model, data_loader, loss_fn, device, algorithm='transformer
total_eval_loss += loss.item()

# Report the final accuracy for this validation run.
avg_val_accuracy = float(total_eval_accuracy) / float(len(data_loader))*10
avg_val_accuracy = float(total_eval_accuracy) / float(len(data_loader.dataset))*100

# Calculate the average loss over all of the batches.
avg_val_loss = total_eval_loss / len(data_loader)
Expand Down