update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.20199775122244593
+      value: 0.22866929895667182
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1328
-- Wer: 0.2020
+- Loss: 0.1545
+- Wer: 0.2287
 
 ## Model description
 
@@ -67,16 +67,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2091        | 0.5   | 400  | 0.2289          | 0.3397 |
-| 0.2323        | 1.01  | 800  | 0.2230          | 0.3233 |
-| 0.1659        | 1.51  | 1200 | 0.1768          | 0.2878 |
-| 0.138         | 2.02  | 1600 | 0.1508          | 0.2262 |
-| 0.0915        | 2.52  | 2000 | 0.1328          | 0.2020 |
+| 3.7265        | 0.5   | 400  | 0.6904          | 0.8056 |
+| 0.428         | 1.01  | 800  | 0.2861          | 0.4551 |
+| 0.2408        | 1.51  | 1200 | 0.2375          | 0.4013 |
+| 0.1896        | 2.02  | 1600 | 0.1714          | 0.2646 |
+| 0.1151        | 2.52  | 2000 | 0.1545          | 0.2287 |
 
 
 ### Framework versions
 
 - Transformers 4.31.0
 - Pytorch 2.0.1+cu118
-- Datasets 2.14.3
+- Datasets 2.14.4
 - Tokenizers 0.13.3