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 [Monsia/test-model-lg-data](https://huggingface.co/Monsia/test-model-lg-data) on the common_voice dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2715
-- Wer: 0.4246
+- Loss: 0.2894
+- Wer: 0.4059
 
 ## Model description
 
@@ -52,13 +52,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.2025        | 0.67  | 100  | 0.3060          | 0.5010 |
-| 0.2305        | 1.35  | 200  | 0.3751          | 0.5541 |
-| 0.2455        | 2.03  | 300  | 0.3656          | 0.5298 |
-| 0.1825        | 2.7   | 400  | 0.3330          | 0.4961 |
-| 0.1505        | 3.38  | 500  | 0.3078          | 0.4526 |
-| 0.1307        | 4.05  | 600  | 0.2821          | 0.4338 |
-| 0.1123        | 4.73  | 700  | 0.2715          | 0.4246 |
+| 0.0992        | 0.67  | 100  | 0.3152          | 0.4505 |
+| 0.1249        | 1.35  | 200  | 0.4314          | 0.5483 |
+| 0.1551        | 2.03  | 300  | 0.3639          | 0.5119 |
+| 0.1153        | 2.7   | 400  | 0.3347          | 0.4718 |
+| 0.0969        | 3.38  | 500  | 0.3219          | 0.4320 |
+| 0.084         | 4.05  | 600  | 0.2899          | 0.4171 |
+| 0.077         | 4.73  | 700  | 0.2894          | 0.4059 |
 
 
 ### Framework versions