update model card README.md

README.md

@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-urdu-urm-60](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-urdu-urm-60) on the common_voice dataset.
 It achieves the following results on the evaluation set:
-- Loss: 8.8609
-- Wer: 0.5948
-- Cer: 0.3176
+- Loss: 6.4496
+- Wer: 0.5913
+- Cer: 0.3310
 
 ## Model description
 
@@ -36,7 +36,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 0.0003
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
@@ -44,21 +44,20 @@ 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: 100
-- num_epochs: 30
+- lr_scheduler_warmup_steps: 200
+- num_epochs: 50
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
-| 24.6193       | 4.17  | 50   | 8.8884          | 1.4349 | 0.6538 |
-| 4.0847        | 8.33  | 100  | 8.9820          | 0.8175 | 0.4775 |
-| 2.7909        | 12.5  | 150  | 10.4491         | 0.6559 | 0.4129 |
-| 1.8326        | 16.67 | 200  | 8.7698          | 0.6105 | 0.3530 |
-| 1.2727        | 20.83 | 250  | 8.7352          | 0.6061 | 0.3302 |
-| 1.0649        | 25.0  | 300  | 8.7588          | 0.6079 | 0.3240 |
-| 1.0751        | 29.17 | 350  | 8.8609          | 0.5948 | 0.3176 |
+| 12.6045       | 8.33  | 100  | 8.4997          | 0.6978 | 0.3923 |
+| 1.3367        | 16.67 | 200  | 5.0015          | 0.6515 | 0.3556 |
+| 0.5344        | 25.0  | 300  | 9.3687          | 0.6393 | 0.3625 |
+| 0.2922        | 33.33 | 400  | 9.2381          | 0.6236 | 0.3432 |
+| 0.1867        | 41.67 | 500  | 6.2150          | 0.6035 | 0.3448 |
+| 0.1166        | 50.0  | 600  | 6.4496          | 0.5913 | 0.3310 |
 
 
 ### Framework versions