Add metrics

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: WER
       type: wer
-      value: null
+      value: 26.52
   - task:
       name: Speech Recognition
       type: automatic-speech-recognition
@@ -36,7 +36,7 @@ model-index:
     metrics:
     - name: WER (without punctuation)
       type: wer
-      value: null
+      value: 21.35
 datasets:
 - mozilla-foundation/common_voice_15_0
 ---
@@ -50,11 +50,13 @@ Model was finetuned on russian part of [mozilla-foundation/common_voice_15_0](ht
 
 ## Metrics
 
-| metric | dataset | waveletdeboshir/whisper-base-ru-pruned | waveletdeboshir/whisper-small-ru-pruned-ft |
+| metric | dataset | waveletdeboshir/whisper-base-ru-pruned | waveletdeboshir/whisper-base-ru-pruned-ft |
 | :------ | :------ | :------ | :------ |
-| WER (without punctuation) | common_voice_15_0_test |  |  |
-| WER | common_voice_15_0_test |  |  |
+| WER (without punctuation) | common_voice_15_0_test | 0.3352 | **0.2135** |
+| WER | common_voice_15_0_test | 0.4050 | **0.2652** |
 
+## Limitations
+Because texts in Common Voice don't contain digits and other characters except letters and punctuation signs, model lost an ability to predict numbers and special characters.
 
 ## Size
 Only 10% tokens was left including special whisper tokens (no language tokens except \<|ru|\> and \<|en|\>, no timestamp tokens), 200 most popular tokens from tokenizer and 4000 most popular Russian tokens computed by tokenization of russian text corpus.