update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.7439024390243902
+      value: 0.6933797909407665
 ---
 
 <!-- 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/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: 0.7351
-- Wer: 0.7439
+- Loss: 0.6890
+- Wer: 0.6934
 
 ## Model description
 
@@ -60,14 +60,18 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
+- lr_scheduler_warmup_steps: 200
 - num_epochs: 30
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 3.5285        | 22.86 | 400  | 0.7351          | 0.7439 |
+| 6.5704        | 5.71  | 100  | 3.2378          | 1.0    |
+| 3.0747        | 11.43 | 200  | 2.9447          | 1.0    |
+| 1.4169        | 17.14 | 300  | 0.8814          | 0.8728 |
+| 0.3139        | 22.86 | 400  | 0.7375          | 0.7021 |
+| 0.1823        | 28.57 | 500  | 0.6890          | 0.6934 |
 
 
 ### Framework versions