run_evaluation fix

scripts/eval.py

@@ -354,13 +354,14 @@ def run_evaluation(args) -> Dict[str, Any]:
     logger.info(f"Few-shot examples: {args.num_fewshot}")
     logger.info(f"Batch size: {args.batch_size}")
     
-    # Debug information
+    # Debug information - FIXED
     print("Type of model being passed:", type(model))
-    print("Model config:", getattr(model, "config", None))
-    # Add this before running the evaluation
-    logger.info(f"Config type: {type(config)}")
-    logger.info(f"Config model_type: {config.model_type}")
-    logger.info(f"Is config a dataclass? {hasattr(config, '__dataclass_fields__')}")
+    if hasattr(model, '_model') and hasattr(model._model, 'config'):
+        print("Model config:", model._model.config)
+    elif hasattr(model, 'config'):
+        print("Model config:", model.config)
+    else:
+        print("Model config: Not accessible")
     
     # Ensure model is properly initialized
     if hasattr(model, '_model') and model._model is not None:
@@ -379,6 +380,14 @@ def run_evaluation(args) -> Dict[str, Any]:
     except Exception as e:
         logger.error(f"Evaluation failed with error: {e}")
         logger.error("This might be due to model registration or configuration issues")
+        
+        # Additional debugging
+        logger.error(f"Model type: {type(model)}")
+        if hasattr(model, '_model'):
+            logger.error(f"Internal model type: {type(model._model)}")
+            if hasattr(model._model, 'config'):
+                logger.error(f"Internal model config type: {type(model._model.config)}")
+        
         raise
     
     logger.info("Evaluation completed successfully")