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 [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.1920
-- Wer: 0.9999
+- Loss: 0.4121
+- Wer: 0.3112
 
 ## Model description
 
@@ -37,7 +37,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0003
-- train_batch_size: 1
+- train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
 - distributed_type: multi-GPU
@@ -51,7 +51,22 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 5.1756        | 18.18 | 400  | 3.1920          | 0.9999 |
+| 4.1868        | 1.83  | 400  | 0.9812          | 0.8398 |
+| 0.691         | 3.67  | 800  | 0.5571          | 0.6298 |
+| 0.3555        | 5.5   | 1200 | 0.4676          | 0.4779 |
+| 0.2451        | 7.34  | 1600 | 0.4572          | 0.4541 |
+| 0.1844        | 9.17  | 2000 | 0.4743          | 0.4389 |
+| 0.1541        | 11.01 | 2400 | 0.4583          | 0.4300 |
+| 0.1277        | 12.84 | 2800 | 0.4565          | 0.3950 |
+| 0.1122        | 14.68 | 3200 | 0.4761          | 0.4087 |
+| 0.0975        | 16.51 | 3600 | 0.4654          | 0.3786 |
+| 0.0861        | 18.35 | 4000 | 0.4503          | 0.3667 |
+| 0.0775        | 20.18 | 4400 | 0.4600          | 0.3581 |
+| 0.0666        | 22.02 | 4800 | 0.4350          | 0.3504 |
+| 0.0627        | 23.85 | 5200 | 0.4211          | 0.3349 |
+| 0.0558        | 25.69 | 5600 | 0.4390          | 0.3333 |
+| 0.0459        | 27.52 | 6000 | 0.4218          | 0.3185 |
+| 0.0439        | 29.36 | 6400 | 0.4121          | 0.3112 |
 
 
 ### Framework versions