Update app.py

app.py

@@ -196,8 +196,7 @@ def run_training(hf_token, model_name, new_repo_name, lora_r, lora_alpha, lora_d
         logging_steps=5,
         save_strategy="steps",
         save_steps=save_steps_val,
-        report_to="none",
-        fp16=torch.cuda.is_available()
+        report_to="none"
     )
 
     processed_dataset = IterableDataset.from_generator(processed_samples_generator)