update model card README.md

README.md

@@ -14,8 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3959
-- Wer: 0.1889
+- Loss: 0.6376
+- Wer: 0.2137
 
 ## Model description
 
@@ -34,7 +34,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 0.0005
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
@@ -43,18 +43,22 @@ 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: 30
+- num_epochs: 50
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 6.845         | 5.26  | 400  | 3.3444          | 0.9934 |
-| 3.0825        | 10.52 | 800  | 2.9174          | 0.9934 |
-| 2.912         | 15.78 | 1200 | 2.1762          | 0.9123 |
-| 1.1449        | 21.05 | 1600 | 0.4266          | 0.2254 |
-| 0.6928        | 26.31 | 2000 | 0.3959          | 0.1889 |
+| 0.7233        | 5.26  | 400  | 5.6115          | 0.4909 |
+| 0.7224        | 10.52 | 800  | 1.1835          | 0.3629 |
+| 0.5193        | 15.78 | 1200 | 0.5786          | 0.2994 |
+| 0.4114        | 21.05 | 1600 | 0.6535          | 0.2823 |
+| 0.3279        | 26.31 | 2000 | 0.6783          | 0.2709 |
+| 0.2711        | 31.58 | 2400 | 0.6570          | 0.2490 |
+| 0.2776        | 36.84 | 2800 | 0.6724          | 0.2358 |
+| 0.1805        | 42.1  | 3200 | 0.6212          | 0.2241 |
+| 0.1535        | 47.37 | 3600 | 0.6376          | 0.2137 |
 
 
 ### Framework versions