I am training a BERT model: trainer.train()

Then I call evaluate_result = trainer.evaluate(labeled_dataset_test)

The value of evaluate_result looks like this:

{'eval_loss': 0.5908029079437256, 
'eval_acc': 0.8282828282828283, 
'eval_bac': 0.8243021346469622, 
'eval_mcc': 0.7422526698197041, 
'eval_f1_macro': 0.826792009400705, 
'epoch': 3.0, 
'total_flos': 1373653507542624}

IMO the dict should not contain 'epoch': 3.0,. That is the number of epochs from training. It has nothing to do with evaluation...