add random print sample when eval

metric_utils.py

@@ -1,5 +1,7 @@
 import numpy as np
 from datasets import load_metric
+from transformers import logging
+import random
 
 wer_metric = load_metric("./model-bin/metrics/wer")
 
@@ -18,6 +20,10 @@ def compute_metrics_fn(processor):
         # we do not want to group tokens when computing the metrics
         label_str = processor.batch_decode(pred.label_ids, group_tokens=False)
 
+        random_idx = random.randint(0, len(label_str))
+        logging.get_logger().info(
+            '\n\n\nRandom sample predict:\nTruth: {}\nPredict: {}'.format(label_str[random_idx], pred_str[random_idx]))
+
         wer = wer_metric.compute(predictions=pred_str, references=label_str)
 
         return {"wer": wer}