update model card README.md

README.md

@@ -14,8 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2960
-- Wer: 0.2705
+- Loss: 0.3799
+- Wer: 0.3019
 
 ## Model description
 
@@ -46,22 +46,17 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Wer    |
-|:-------------:|:-----:|:-----:|:---------------:|:------:|
-| 3.6358        | 2.01  | 1000  | 0.7983          | 0.7896 |
-| 0.6096        | 4.02  | 2000  | 0.2907          | 0.3794 |
-| 0.314         | 6.02  | 3000  | 0.2625          | 0.3246 |
-| 0.2259        | 8.03  | 4000  | 0.2673          | 0.3058 |
-| 0.1771        | 10.04 | 5000  | 0.2518          | 0.2932 |
-| 0.1474        | 12.05 | 6000  | 0.2717          | 0.2900 |
-| 0.1267        | 14.06 | 7000  | 0.2700          | 0.2821 |
-| 0.1069        | 16.06 | 8000  | 0.2941          | 0.2834 |
-| 0.0991        | 18.07 | 9000  | 0.3021          | 0.2806 |
-| 0.0853        | 20.08 | 10000 | 0.3088          | 0.2803 |
-| 0.0787        | 22.09 | 11000 | 0.2987          | 0.2770 |
-| 0.067         | 24.1  | 12000 | 0.3182          | 0.2734 |
-| 0.0652        | 26.1  | 13000 | 0.3117          | 0.2701 |
-| 0.0636        | 28.11 | 14000 | 0.2960          | 0.2705 |
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 3.5228        | 3.3   | 1000 | 0.9889          | 0.8394 |
+| 0.6617        | 6.6   | 2000 | 0.3566          | 0.4027 |
+| 0.3177        | 9.9   | 3000 | 0.3112          | 0.3606 |
+| 0.2262        | 13.2  | 4000 | 0.3521          | 0.3324 |
+| 0.1683        | 16.5  | 5000 | 0.3563          | 0.3260 |
+| 0.137         | 19.8  | 6000 | 0.3605          | 0.3149 |
+| 0.1139        | 23.1  | 7000 | 0.3768          | 0.3069 |
+| 0.1068        | 26.4  | 8000 | 0.3643          | 0.3044 |
+| 0.0897        | 29.7  | 9000 | 0.3799          | 0.3019 |
 
 
 ### Framework versions
@@ -69,4 +64,4 @@ The following hyperparameters were used during training:
 - Transformers 4.17.0
 - Pytorch 1.12.1+cu113
 - Datasets 1.18.3
-- Tokenizers 0.12.1
+- Tokenizers 0.13.0