diff --git a/src/axolotl/prompt_tokenizers.py b/src/axolotl/prompt_tokenizers.py
index ca7db32dc9..a95225ff87 100644
--- a/src/axolotl/prompt_tokenizers.py
+++ b/src/axolotl/prompt_tokenizers.py
@@ -394,7 +394,7 @@ def tokenize_prompt(self, prompt):
                         LOG.warning(f"assistant turn has empty text: {prompt}")
                     res = self._tokenize(
                         turn,
-                        add_eos_token=False if conversation.name == 'chatml' else True,
+                        add_eos_token=conversation.name == "chatml",
                         strip_bos_token=True,
                     )
                     role_res = self._tokenize(
diff --git a/src/axolotl/train.py b/src/axolotl/train.py
index 9e7373809d..09eb6111eb 100644
--- a/src/axolotl/train.py
+++ b/src/axolotl/train.py
@@ -74,9 +74,11 @@ def train(
     resume_from_checkpoint = cfg.resume_from_checkpoint
 
     if dist.get_rank() == 0:
-        print('\n\n*********** INPUT SANITY CHECK ***********')
-        print(tokenizer.decode(train_dataset[0]['input_ids'], skip_special_tokens=False))
-        print('******************************************\n\n')
+        print("\n\n*********** INPUT SANITY CHECK ***********")
+        print(
+            tokenizer.decode(train_dataset[0]["input_ids"], skip_special_tokens=False)
+        )
+        print("******************************************\n\n")
 
     trainer = setup_trainer(
         cfg, train_dataset, eval_dataset, model, tokenizer, total_num_steps
@@ -171,7 +173,7 @@ def terminate_handler(_, __, model):
     if not cfg.hub_model_id:
         trainer.create_model_card(model_name=cfg.output_dir.lstrip("./"))
     else:
-        dataset = [d['path'] for d in cfg.datasets]
+        dataset = [d["path"] for d in cfg.datasets]
         trainer.push_to_hub(dataset=dataset, dataset_tags=dataset)
 
     return model, tokenizer