End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 40.49254109791658
+      value: 40.4513375311668
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,7 +35,7 @@ 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 15.0 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3827
-- Wer: 40.4925
+- Wer: 40.4513
 
 ## Model description
 
@@ -70,14 +70,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.6714        | 0.1129 | 500  | 0.7163          | 66.8396 |
-| 0.4722        | 0.2258 | 1000 | 0.5435          | 54.3887 |
-| 0.4207        | 0.3388 | 1500 | 0.4766          | 49.0312 |
-| 0.3891        | 0.4517 | 2000 | 0.4403          | 45.2288 |
-| 0.3737        | 0.5646 | 2500 | 0.4167          | 44.0403 |
-| 0.3386        | 0.6775 | 3000 | 0.3994          | 41.2405 |
-| 0.3402        | 0.7904 | 3500 | 0.3887          | 41.2300 |
-| 0.3089        | 0.9033 | 4000 | 0.3827          | 40.4925 |
+| 0.6718        | 0.1129 | 500  | 0.7164          | 66.9178 |
+| 0.4723        | 0.2258 | 1000 | 0.5436          | 54.4267 |
+| 0.4208        | 0.3388 | 1500 | 0.4769          | 49.0925 |
+| 0.3881        | 0.4517 | 2000 | 0.4404          | 45.3112 |
+| 0.3739        | 0.5646 | 2500 | 0.4167          | 43.9251 |
+| 0.3387        | 0.6775 | 3000 | 0.3993          | 41.2913 |
+| 0.3405        | 0.7904 | 3500 | 0.3886          | 41.2099 |
+| 0.3089        | 0.9033 | 4000 | 0.3827          | 40.4513 |
 
 
 ### Framework versions