End of training

README.md

@@ -14,16 +14,16 @@ model-index:
 - name: Whisper Small 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: 36.53932584269663
-      name: Wer
+    - name: Wer
+      type: wer
+      value: 33.653044203502915
 ---
 
 <!-- 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-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 (ba) dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2443
-- Wer: 36.5393
+- Loss: 0.2363
+- Wer: 33.6530
 
 ## Model description
 
@@ -67,7 +67,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.2249        | 0.9997 | 3341 | 0.2443          | 36.5393 |
+| 0.1791        | 0.9997 | 3341 | 0.2363          | 33.6530 |
 
 
 ### Framework versions