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: 0.3243
-- Wer: 0.4130
+- Loss: 0.3354
+- Wer: 0.4150
 
 ## Model description
 
@@ -52,13 +52,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.034         | 0.67  | 100  | 0.4173          | 0.4217 |
-| 0.0378        | 1.35  | 200  | 0.4614          | 0.4729 |
-| 0.0579        | 2.03  | 300  | 0.4122          | 0.4577 |
-| 0.0467        | 2.7   | 400  | 0.3758          | 0.4423 |
-| 0.0403        | 3.38  | 500  | 0.3823          | 0.4342 |
-| 0.036         | 4.05  | 600  | 0.3620          | 0.4282 |
-| 0.0504        | 4.73  | 700  | 0.3243          | 0.4130 |
+| 0.0236        | 0.67  | 100  | 0.4048          | 0.4222 |
+| 0.0304        | 1.35  | 200  | 0.4266          | 0.4809 |
+| 0.0545        | 2.03  | 300  | 0.4309          | 0.4735 |
+| 0.0415        | 2.7   | 400  | 0.4269          | 0.4595 |
+| 0.033         | 3.38  | 500  | 0.4085          | 0.4537 |
+| 0.0328        | 4.05  | 600  | 0.3642          | 0.4224 |
+| 0.0414        | 4.73  | 700  | 0.3354          | 0.4150 |
 
 
 ### Framework versions