update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.6933797909407665
+      value: 0.6898954703832753
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,9 @@ 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: 0.6890
-- Wer: 0.6934
+- Loss: 0.7496
+- Wer: 0.6899
+- Cer: 0.1611
 
 ## Model description
 
@@ -65,13 +66,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 6.5704        | 5.71  | 100  | 3.2378          | 1.0    |
-| 3.0747        | 11.43 | 200  | 2.9447          | 1.0    |
-| 1.4169        | 17.14 | 300  | 0.8814          | 0.8728 |
-| 0.3139        | 22.86 | 400  | 0.7375          | 0.7021 |
-| 0.1823        | 28.57 | 500  | 0.6890          | 0.6934 |
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 6.2963        | 5.71  | 100  | 3.1890          | 1.0    | 0.9948 |
+| 3.044         | 11.43 | 200  | 2.8236          | 1.0    | 0.9855 |
+| 1.3443        | 17.14 | 300  | 0.8382          | 0.7962 | 0.2023 |
+| 0.3201        | 22.86 | 400  | 0.8201          | 0.7369 | 0.1844 |
+| 0.1987        | 28.57 | 500  | 0.7496          | 0.6899 | 0.1611 |
 
 
 ### Framework versions