update model card README.md

README.md

@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-large-xls-r-300m-telugu-asr
 
-This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
+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: 3.8208
-- Wer: 1.0395
+- Loss: 4.0959
+- Wer: 1.0406
 
 ## Model description
 
@@ -52,27 +52,20 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 11.4834       | 1.37  | 200  | 4.8950          | 1.0    |
-| 3.9043        | 2.74  | 400  | 3.8879          | 1.0    |
-| 3.7152        | 4.11  | 600  | 3.6273          | 1.0    |
-| 3.6229        | 5.48  | 800  | 3.8105          | 1.0    |
-| 3.5465        | 6.85  | 1000 | 3.6970          | 1.0    |
-| 3.5106        | 8.22  | 1200 | 3.6657          | 1.0    |
-| 3.3731        | 9.59  | 1400 | 3.4669          | 0.9995 |
-| 3.183         | 10.96 | 1600 | 3.1894          | 0.9983 |
-| 2.9215        | 12.33 | 1800 | 2.9099          | 0.9993 |
-| 2.5357        | 13.7  | 2000 | 2.8166          | 1.0407 |
-| 2.1257        | 15.07 | 2200 | 2.6122          | 1.0205 |
-| 1.7549        | 16.44 | 2400 | 2.5981          | 1.0457 |
-| 1.4642        | 17.81 | 2600 | 2.5619          | 1.0015 |
-| 1.1814        | 19.18 | 2800 | 2.8769          | 0.9836 |
-| 0.9759        | 20.55 | 3000 | 2.8497          | 1.0078 |
-| 0.8066        | 21.92 | 3200 | 3.1365          | 1.0655 |
-| 0.6614        | 23.29 | 3400 | 3.1759          | 0.9964 |
-| 0.5687        | 24.66 | 3600 | 3.3751          | 1.0103 |
-| 0.4987        | 26.03 | 3800 | 3.5111          | 1.0180 |
-| 0.4304        | 27.4  | 4000 | 3.6908          | 1.0200 |
-| 0.3818        | 28.77 | 4200 | 3.8208          | 1.0395 |
+| 3.6321        | 2.04  | 200  | 2.3063          | 0.9872 |
+| 1.8629        | 4.08  | 400  | 2.4143          | 0.9926 |
+| 1.3881        | 6.12  | 600  | 2.5862          | 0.9795 |
+| 1.0565        | 8.16  | 800  | 2.6708          | 1.0191 |
+| 0.7681        | 10.2  | 1000 | 3.1001          | 0.9992 |
+| 0.5867        | 12.24 | 1200 | 3.4503          | 1.0228 |
+| 0.4289        | 14.29 | 1400 | 3.5382          | 1.0165 |
+| 0.3618        | 16.33 | 1600 | 3.5116          | 0.9835 |
+| 0.3229        | 18.37 | 1800 | 3.6524          | 1.0093 |
+| 0.2483        | 20.41 | 2000 | 3.6222          | 1.0319 |
+| 0.2215        | 22.45 | 2200 | 3.9824          | 1.0414 |
+| 0.1833        | 24.49 | 2400 | 3.9272          | 1.0393 |
+| 0.1706        | 26.53 | 2600 | 3.9290          | 1.0425 |
+| 0.1463        | 28.57 | 2800 | 4.0959          | 1.0406 |
 
 
 ### Framework versions