upd readme with test metrics

README.md

@@ -12,6 +12,7 @@ metrics:
 model-index:
 - name: Whisper Small Belarusian
   results:
+  
   - task:
       type: automatic-speech-recognition
       name: Automatic Speech Recognition
@@ -23,14 +24,22 @@ model-index:
       args: be
     metrics:
     - type: wer
+      name: WER
       value: 6.3671568743912
-      name: Wer
+      
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: mozilla-foundation/common_voice_11_0 be
+      type: mozilla-foundation/common_voice_11_0
+      config: be
+      split: test
+      args: be
+    metrics:
     - type: wer
-      value: 6.79
       name: WER
-    - type: wer
       value: 6.79
-      name: WER
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -40,8 +49,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 be dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0706
-- Wer: 6.3672
+- Loss on validation: 0.0706
+- WER on validation set: 6.3672
+- WER on test set: 6.79
 
 ## Model description