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: 1.2528
-- Wer: 0.7044
+- Loss: 1.2032
+- Wer: 0.6921
 
 ## Model description
 
@@ -52,19 +52,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 6.2329        | 2.3   | 200  | 1.0480          | 0.7942 |
-| 0.7353        | 4.59  | 400  | 0.8799          | 0.7307 |
-| 0.4454        | 6.89  | 600  | 0.9360          | 0.7384 |
-| 0.3191        | 9.19  | 800  | 0.9886          | 0.7312 |
-| 0.2246        | 11.49 | 1000 | 1.1062          | 0.7396 |
-| 0.1796        | 13.79 | 1200 | 1.1293          | 0.7250 |
-| 0.1454        | 16.09 | 1400 | 1.1771          | 0.7287 |
-| 0.121         | 18.39 | 1600 | 1.1947          | 0.7173 |
-| 0.1046        | 20.69 | 1800 | 1.2373          | 0.7277 |
-| 0.0903        | 22.98 | 2000 | 1.2815          | 0.7193 |
-| 0.0811        | 25.29 | 2200 | 1.2602          | 0.7148 |
-| 0.0722        | 27.58 | 2400 | 1.2517          | 0.7121 |
-| 0.0673        | 29.88 | 2600 | 1.2528          | 0.7044 |
+| 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 |
 
 
 ### Framework versions