fix arguments in wer() functions

train.py

@@ -66,7 +66,8 @@ def compute_metrics(pred):
     label_ids[label_ids == -100] = tokenizer.pad_token_id
     label_str = tokenizer.batch_decode(label_ids, group_tokens=False)
 
-    error = wer(predictions=pred_str, references=label_str)
+    # jiwer.wer(reference, hypothesis) — positional only
+    error = wer(label_str, pred_str)
     return {"wer": error}