diff --git a/TTS/trainer.py b/TTS/trainer.py
index 8b7be3d1..ec6d4417 100644
--- a/TTS/trainer.py
+++ b/TTS/trainer.py
@@ -462,12 +462,12 @@ class Trainer:
         update_lr_scheduler = True
         if self.use_amp_scaler:
             if self.use_apex:
-                with amp.scale_loss(loss_dict["loss"], self.optimizer) as scaled_loss:
+                with amp.scale_loss(loss_dict["loss"], optimizer) as scaled_loss:
                     scaled_loss.backward()
-                    grad_norm = torch.nn.utils.clip_grad_norm_(
-                        amp.master_params(self.optimizer),
-                        self.config.grad_clip,
-                    )
+                grad_norm = torch.nn.utils.clip_grad_norm_(
+                    amp.master_params(optimizer),
+                    grad_clip,
+                )
             else:
                 # model optimizer step in mixed precision mode
                 scaler.scale(loss_dict["loss"]).backward()
@@ -739,6 +739,7 @@ class Trainer:
                 self.tb_logger.tb_eval_figures(self.total_steps_done, figures)
             if audios is not None:
                 self.tb_logger.tb_eval_audios(self.total_steps_done, audios, self.ap.sample_rate)
+            self.tb_logger.tb_eval_stats(self.total_steps_done, self.keep_avg_eval.avg_values)
 
     def test_run(self) -> None:
         """Run test and log the results. Test run must be defined by the model.