update model card README.md

README.md

@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.4625
-- Wer: 1.0
-- Cer: 1.0
+- Loss: 3.9199
+- Wer: 0.9540
+- Cer: 0.9868
 
 ## Model description
 
@@ -44,18 +44,33 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 5
+- num_epochs: 20
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
-|:-------------:|:-----:|:----:|:---------------:|:---:|:---:|
-| 16.8361       | 1.0   | 687  | 4.7397          | 1.0 | 1.0 |
-| 5.0061        | 2.0   | 1374 | 4.6740          | 1.0 | 1.0 |
-| 4.9166        | 3.0   | 2061 | 4.6031          | 1.0 | 1.0 |
-| 4.8689        | 4.0   | 2748 | 4.4977          | 1.0 | 1.0 |
-| 4.7984        | 5.0   | 3435 | 4.4625          | 1.0 | 1.0 |
+| Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
+| 16.9063       | 1.0   | 687   | 4.7768          | 1.0    | 1.0    |
+| 5.0252        | 2.0   | 1374  | 4.7004          | 1.0    | 1.0    |
+| 4.9378        | 3.0   | 2061  | 4.6715          | 1.0    | 1.0    |
+| 5.1468        | 4.0   | 2748  | 4.6605          | 1.0    | 1.0    |
+| 4.9353        | 5.0   | 3435  | 4.6470          | 1.0    | 1.0    |
+| 4.913         | 6.0   | 4122  | 4.6177          | 1.0    | 1.0    |
+| 4.8034        | 7.0   | 4809  | 4.7699          | 1.0    | 1.0    |
+| 4.6905        | 8.0   | 5496  | 4.3596          | 1.0    | 1.0    |
+| 4.5251        | 9.0   | 6183  | 4.2670          | 1.0    | 1.0    |
+| 4.4527        | 10.0  | 6870  | 4.2087          | 1.0    | 1.0    |
+| 4.3731        | 11.0  | 7557  | 4.1950          | 0.9982 | 0.9997 |
+| 4.3461        | 12.0  | 8244  | 4.2287          | 0.9928 | 0.9988 |
+| 4.3224        | 13.0  | 8931  | 4.1565          | 0.9802 | 0.9971 |
+| 4.2504        | 14.0  | 9618  | 4.1254          | 0.9619 | 0.9937 |
+| 4.2196        | 15.0  | 10305 | 4.0377          | 0.9562 | 0.9913 |
+| 4.1911        | 16.0  | 10992 | 4.0576          | 0.9601 | 0.9887 |
+| 4.1079        | 17.0  | 11679 | 4.0630          | 0.9544 | 0.9857 |
+| 4.1117        | 18.0  | 12366 | 4.0009          | 0.9558 | 0.9880 |
+| 4.0324        | 19.0  | 13053 | 3.9245          | 0.9540 | 0.9877 |
+| 3.9871        | 20.0  | 13740 | 3.9199          | 0.9540 | 0.9868 |
 
 
 ### Framework versions