update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.9988399071925754
+      value: 0.7888631090487239
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ 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: 2.2139
-- Wer: 0.9988
+- Loss: 1.2473
+- Wer: 0.7889
 
 ## Model description
 
@@ -67,7 +67,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 7.6392        | 22.22 | 400  | 2.2139          | 0.9988 |
+| 0.3821        | 22.22 | 400  | 1.2473          | 0.7889 |
 
 
 ### Framework versions