End of training

README.md

@@ -14,16 +14,16 @@ model-index:
 - name: Whisper base bashkir
   results:
   - task:
-      type: automatic-speech-recognition
       name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
       name: Common Voice 17.0 (ba)
       type: stdbug/common-voice-17-ba
       args: 'config: ba, split: test'
     metrics:
-    - type: wer
-      value: 38.592233009708735
-      name: Wer
+    - name: Wer
+      type: wer
+      value: 37.5
 ---
 
 <!-- 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: 0.2560
-- Wer: 38.5922
+- Loss: 0.2527
+- Wer: 37.5
 
 ## Model description
 
@@ -65,9 +65,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.2174        | 0.9994 | 1730 | 0.2560          | 38.5922 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer  |
+|:-------------:|:------:|:----:|:---------------:|:----:|
+| 0.2089        | 0.9994 | 1730 | 0.2527          | 37.5 |
 
 
 ### Framework versions