diff --git a/aitextgen/aitextgen.py b/aitextgen/aitextgen.py
index 12a0a3d..c383153 100644
--- a/aitextgen/aitextgen.py
+++ b/aitextgen/aitextgen.py
@@ -709,10 +709,9 @@ def train(
             gpus=n_gpu,
             max_steps=num_steps,
             gradient_clip_val=max_grad_norm,
-            checkpoint_callback=False,
+            enable_checkpointing=False, #checkpoint_callback deprecated in pytorch_lighning v1.7
             logger=loggers if loggers else False,
-            weights_summary=None,
-            progress_bar_refresh_rate=progress_bar_refresh_rate,  # ignored
+            enable_model_summary=None, #weights_summary and progress_bar_refresh_rate are removed in pytorch_lighning v1.7
             callbacks=[
                 ATGProgressBar(
                     save_every,
diff --git a/aitextgen/train.py b/aitextgen/train.py
index 2e289cb..ce54a4a 100644
--- a/aitextgen/train.py
+++ b/aitextgen/train.py
@@ -141,6 +141,12 @@ def on_train_start(self, trainer, pl_module):
     def on_train_end(self, trainer, pl_module):
         self.main_progress_bar.close()
         self.unfreeze_layers(pl_module)
+        
+    def get_metrics(self, trainer, pl_module):
+        # don't show the version number
+        items = super().get_metrics(trainer, pl_module)
+        items.pop("v_num", None)
+        return items
 
     def on_batch_end(self, trainer, pl_module):
         super().on_batch_end(trainer, pl_module)
@@ -150,7 +156,8 @@ def on_batch_end(self, trainer, pl_module):
         if self.steps == 0 and self.gpu:
             torch.cuda.empty_cache()
 
-        current_loss = float(trainer.progress_bar_dict["loss"])
+        metrics = self.get_metrics(trainer, pl_module)
+        current_loss = float(metrics["loss"])
         self.steps += 1
         avg_loss = 0
         if current_loss == current_loss:  # don't add if current_loss is NaN