Different loss values in run_glue
Hi, Im using run_glue to fine tune some models , I was training the model with just 4 epochs, and seeing the logs after each epoch, and everything good but when it finishes it gives me like the final train metrics and the values are totally differentI got this{‘loss’: 0.5777, ‘learning_rate’: 7.500000000000001e-06, ‘epoch’: 1.0}{‘loss’: 0.3363, ‘learning_rate’: 5e-06, ‘epoch’: 2.0}{‘loss’: 0.2117, ‘learning_rate’: 2.5e-06, ‘epoch’: 3.0}{‘loss’: 0.1612, ‘learning_rate’: 0.0, ‘epoch’: 4.0}And after this***** train metrics *****epoch                    =        4.0train_loss               =     0.3217train_runtime            = 0:01:06.18train_samples            =         50train_samples_per_second =      3.384train_steps_per_second   =      0.423why I got different training losses 0.16 vs 0.32 ??? . Due to it is the last epoch shouldn’t I get the same training loss why is this happening?