Update eval to create scoring metric, disable mean resizing for modernbert. (#228)

Author: tmills

src/cnlpt/CnlpModelForClassification.py

@@ -302,7 +302,9 @@ def __init__(
         # CANINE's hashable embeddings for unicode codepoints allows for
         # additional parameterization, which rn doesn't seem so relevant
         if not config.character_level:
-            self.encoder.resize_token_embeddings(encoder_config.vocab_size)
+            self.encoder.resize_token_embeddings(
+                encoder_config.vocab_size, mean_resizing=False
+            )
 
         # This would seem to be redundant with the label list, which maps from tasks to labels,
         # but this version is ordered. This will allow the user to specify an order for any methods

src/cnlpt/train_system.py

@@ -714,7 +714,7 @@ def compute_metrics_fn(p: EvalPrediction):
                                 task_label_to_boundaries,
                             )
                         )
-
+            metrics["one_score"] = one_score
             return metrics
 
         return compute_metrics_fn