End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 46.70043811610077
+      value: 41.13394088172983
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,8 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4126
-- Wer: 46.7004
+- Loss: 0.2081
+- Wer: 41.1339
 
 ## Model description
 
@@ -68,10 +68,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer     |
 |:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.1445        | 1.6807 | 1000 | 0.2832          | 51.7798 |
-| 0.0281        | 3.3613 | 2000 | 0.3271          | 49.2744 |
-| 0.003         | 5.0420 | 3000 | 0.3818          | 47.0701 |
-| 0.0011        | 6.7227 | 4000 | 0.4126          | 46.7004 |
+| 0.2189        | 0.4202 | 1000 | 0.2631          | 50.3010 |
+| 0.1572        | 0.8403 | 2000 | 0.2280          | 45.5056 |
+| 0.0873        | 1.2605 | 3000 | 0.2237          | 42.8759 |
+| 0.0873        | 1.6807 | 4000 | 0.2081          | 41.1339 |
 
 
 ### Framework versions