End of training

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 30.788572877488065
+      value: 30.757934327853608
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,8 +34,8 @@ 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 Mix data dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3451
-- Wer: 30.7886
+- Loss: 0.3450
+- Wer: 30.7579
 
 ## Model description
 
@@ -70,14 +70,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.1438        | 0.1129 | 500  | 0.3669          | 32.7896 |
-| 0.154         | 0.2258 | 1000 | 0.3710          | 32.7262 |
-| 0.1482        | 0.3388 | 1500 | 0.3663          | 33.0875 |
-| 0.1383        | 0.4517 | 2000 | 0.3626          | 32.0173 |
-| 0.1513        | 0.5646 | 2500 | 0.3559          | 32.4166 |
-| 0.1387        | 0.6775 | 3000 | 0.3514          | 30.9249 |
-| 0.1407        | 0.7904 | 3500 | 0.3479          | 30.8963 |
-| 0.1353        | 0.9033 | 4000 | 0.3451          | 30.7886 |
+| 0.1454        | 0.1129 | 500  | 0.3666          | 32.6860 |
+| 0.1537        | 0.2258 | 1000 | 0.3721          | 32.9290 |
+| 0.1471        | 0.3388 | 1500 | 0.3665          | 32.9660 |
+| 0.1397        | 0.4517 | 2000 | 0.3626          | 32.0067 |
+| 0.1501        | 0.5646 | 2500 | 0.3562          | 32.2413 |
+| 0.1381        | 0.6775 | 3000 | 0.3510          | 30.8636 |
+| 0.14          | 0.7904 | 3500 | 0.3476          | 30.9122 |
+| 0.135         | 0.9033 | 4000 | 0.3450          | 30.7579 |
 
 
 ### Framework versions