update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.9919436052366566
+      value: 0.9859013091641491
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/mms-1b-l1107](https://huggingface.co/facebook/mms-1b-l1107) on the common_voice_13_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 7.6393
-- Wer: 0.9919
+- Loss: 7.8369
+- Wer: 0.9859
 
 ## Model description
 
@@ -53,21 +53,25 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.001
-- train_batch_size: 16
+- train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 100
-- num_epochs: 16
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 10.4656       | 5.26  | 100  | 8.2092          | 0.9899 |
-| 5.9562        | 10.53 | 200  | 7.5223          | 0.9899 |
-| 4.4928        | 15.79 | 300  | 7.6393          | 0.9919 |
+| 11.2038       | 2.63  | 100  | 7.7632          | 0.9869 |
+| 5.9383        | 5.26  | 200  | 8.0920          | 0.9909 |
+| 5.6379        | 7.89  | 300  | 7.8850          | 0.9930 |
+| 5.0749        | 10.53 | 400  | 7.8490          | 0.9940 |
+| 3.791         | 13.16 | 500  | 7.4713          | 0.9849 |
+| 3.3555        | 15.79 | 600  | 7.6595          | 0.9799 |
+| 2.5415        | 18.42 | 700  | 7.8369          | 0.9859 |
 
 
 ### Framework versions