src/aiunn/finetune/trainer.py

@@ -309,7 +309,9 @@ class aiuNNTrainer:
             # Cleanup
             gc.collect()
             torch.cuda.empty_cache()
-        
+        if not is_improved:
+            best_model_path = os.path.join(output_path, "final_model")
+            self.model.save_pretrained(best_model_path)
         return self.best_loss
 
     def load_checkpoint(self, specific_checkpoint=None):