[Bug-fix] Text classifiation config (#1545)

src/sparseml/transformers/text_classification.py

@@ -497,6 +497,7 @@ def compute_metrics(p: EvalPrediction):
                 label_list=label_list,
                 model=model,
                 num_labels=num_labels,
+                config=config,
             )
             id_to_label = {id_: label for label, id_ in label_to_id.items()}
 
@@ -754,7 +755,7 @@ def _get_tokenized_and_preprocessed_raw_datasets(
     # Some models have set the order of the labels to use, so let's make sure
     # we do use it
     label_to_id = _get_label_to_id(
-        data_args, is_regression, label_list, model, num_labels
+        data_args, is_regression, label_list, model, num_labels, config=config
     )
 
     if label_to_id is not None:
@@ -842,15 +843,16 @@ def preprocess_function(examples):
     return tokenized_datasets, raw_datasets
 
 
-def _get_label_to_id(data_args, is_regression, label_list, model, num_labels):
+def _get_label_to_id(data_args, is_regression, label_list, model, num_labels, config):
     label_to_id = None
+    config = model.config if model else config
     if (
-        model.config.label2id != PretrainedConfig(num_labels=num_labels).label2id
+        config.label2id != PretrainedConfig(num_labels=num_labels).label2id
         and data_args.task_name is not None
         and not is_regression
     ):
         # Some have all caps in their config, some don't.
-        label_name_to_id = {k.lower(): v for k, v in model.config.label2id.items()}
+        label_name_to_id = {k.lower(): v for k, v in config.label2id.items()}
         if list(sorted(label_name_to_id.keys())) == list(sorted(label_list)):
             label_to_id = {
                 i: int(label_name_to_id[label_list[i]]) for i in range(num_labels)