update model card README.md

README.md

@@ -24,7 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 45.8546571136131
+      value: 42.517911975435005
 ---
 
 <!-- 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 Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2846
-- Wer: 45.8547
+- Loss: 0.2554
+- Wer: 42.5179
 
 ## Model description
 
@@ -68,11 +68,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0016        | 9.01  | 1000 | 0.2376          | 44.4422 |
-| 0.0004        | 19.01 | 2000 | 0.2559          | 44.6673 |
-| 0.0002        | 29.0  | 3000 | 0.2710          | 45.2815 |
-| 0.0002        | 38.02 | 4000 | 0.2804          | 45.7523 |
-| 0.0001        | 48.01 | 5000 | 0.2846          | 45.8547 |
+| 0.0046        | 6.02  | 1000 | 0.2102          | 41.8014 |
+| 0.0014        | 13.02 | 2000 | 0.2266          | 41.6172 |
+| 0.0004        | 20.01 | 3000 | 0.2437          | 42.1699 |
+| 0.0003        | 27.0  | 4000 | 0.2521          | 42.5179 |
+| 0.0002        | 33.02 | 5000 | 0.2554          | 42.5179 |
 
 
 ### Framework versions