update model card README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [henilp105/wav2vec2-large-xls-r-300m-telugu-asr](https://huggingface.co/henilp105/wav2vec2-large-xls-r-300m-telugu-asr) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2032
-- Wer: 0.6921
+- Loss: 1.1050
+- Wer: 0.6656
 
 ## Model description
 
@@ -52,12 +52,19 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.1347        | 4.65  | 200  | 0.8580          | 0.6825 |
-| 0.2853        | 9.3   | 400  | 1.0124          | 0.7056 |
-| 0.2096        | 13.95 | 600  | 1.0856          | 0.7187 |
-| 0.1418        | 18.6  | 800  | 1.1826          | 0.7131 |
-| 0.1016        | 23.26 | 1000 | 1.2104          | 0.7046 |
-| 0.0771        | 27.91 | 1200 | 1.2032          | 0.6921 |
+| 6.0506        | 2.3   | 200  | 0.8841          | 0.7564 |
+| 0.6354        | 4.59  | 400  | 0.7448          | 0.6912 |
+| 0.3934        | 6.89  | 600  | 0.8321          | 0.6929 |
+| 0.2652        | 9.19  | 800  | 0.9529          | 0.6984 |
+| 0.2022        | 11.49 | 1000 | 0.9490          | 0.6979 |
+| 0.1514        | 13.79 | 1200 | 1.0025          | 0.6869 |
+| 0.124         | 16.09 | 1400 | 1.0367          | 0.6799 |
+| 0.1007        | 18.39 | 1600 | 1.0658          | 0.6734 |
+| 0.0875        | 20.69 | 1800 | 1.0758          | 0.6779 |
+| 0.0838        | 22.98 | 2000 | 1.0999          | 0.6701 |
+| 0.0745        | 25.29 | 2200 | 1.1020          | 0.6708 |
+| 0.0641        | 27.58 | 2400 | 1.1140          | 0.6683 |
+| 0.0607        | 29.88 | 2600 | 1.1050          | 0.6656 |
 
 
 ### Framework versions