Cast epochs_trained to int when resuming training (#32286)

* fix epochs_trained as int when resuming training

* refactor

---------
Co-authored-by: teddyferdinan <teddy.ferdinan@pwr.edu.pl>

src/transformers/trainer.py

@@ -2155,7 +2155,7 @@ class Trainer:
             self.state = TrainerState.load_from_json(os.path.join(resume_from_checkpoint, TRAINER_STATE_NAME))
             self.compare_trainer_and_checkpoint_args(self.args, self.state)
             self._load_callback_state()
-            epochs_trained = self.state.global_step // num_update_steps_per_epoch
+            epochs_trained = int(self.state.global_step // num_update_steps_per_epoch)
             if not args.ignore_data_skip:
                 steps_trained_in_current_epoch = self.state.global_step % (num_update_steps_per_epoch)
                 steps_trained_in_current_epoch *= args.gradient_accumulation_steps