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README.md

@@ -14,16 +14,16 @@ model-index:
 - name: Whisper base bashkir
   results:
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: Common Voice 17.0 (ba)
       type: stdbug/common-voice-17-ba
       args: 'config: ba, split: test'
     metrics:
-    - name: Wer
-      type: wer
-      value: 35.85237258347979
+    - type: wer
+      value: 38.592233009708735
+      name: Wer
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 17.0 (ba) dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2418
-- Wer: 35.8524
+- Loss: 0.2560
+- Wer: 38.5922
 
 ## Model description
 
@@ -67,7 +67,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.2209        | 0.9994 | 1730 | 0.2418          | 35.8524 |
+| 0.2174        | 0.9994 | 1730 | 0.2560          | 38.5922 |
 
 
 ### Framework versions