update model card README.md

README.md

@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.8682
+- Loss: 2.8795
 - Wer: 1.0
 
 ## Model description
@@ -34,34 +34,32 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.001
-- train_batch_size: 16
+- learning_rate: 0.0001
+- train_batch_size: 32
 - 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: 30
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer |
 |:-------------:|:-----:|:----:|:---------------:|:---:|
-| 3.1772        | 2.08  | 500  | 2.8706          | 1.0 |
-| 2.855         | 4.17  | 1000 | 2.8838          | 1.0 |
-| 2.8579        | 6.25  | 1500 | 2.8867          | 1.0 |
-| 2.856         | 8.33  | 2000 | 2.8733          | 1.0 |
-| 2.8552        | 10.42 | 2500 | 2.9412          | 1.0 |
-| 2.857         | 12.5  | 3000 | 2.8679          | 1.0 |
-| 2.8587        | 14.58 | 3500 | 2.8740          | 1.0 |
-| 2.8583        | 16.67 | 4000 | 2.8794          | 1.0 |
-| 2.8532        | 18.75 | 4500 | 2.8778          | 1.0 |
-| 2.8541        | 20.83 | 5000 | 2.9073          | 1.0 |
-| 2.8565        | 22.92 | 5500 | 2.8682          | 1.0 |
-| 2.8564        | 25.0  | 6000 | 2.8853          | 1.0 |
-| 2.8519        | 27.08 | 6500 | 2.8676          | 1.0 |
-| 2.845         | 29.17 | 7000 | 2.8682          | 1.0 |
+| 5.6846        | 0.83  | 100  | 2.9086          | 1.0 |
+| 2.8686        | 1.67  | 200  | 2.8922          | 1.0 |
+| 2.8805        | 2.5   | 300  | 2.9326          | 1.0 |
+| 2.8613        | 3.33  | 400  | 2.8698          | 1.0 |
+| 2.8643        | 4.17  | 500  | 2.9027          | 1.0 |
+| 2.8688        | 5.0   | 600  | 2.9544          | 1.0 |
+| 2.8689        | 5.83  | 700  | 2.8914          | 1.0 |
+| 2.8558        | 6.67  | 800  | 2.8762          | 1.0 |
+| 2.8537        | 7.5   | 900  | 2.8982          | 1.0 |
+| 2.8522        | 8.33  | 1000 | 2.8820          | 1.0 |
+| 2.8468        | 9.17  | 1100 | 2.8760          | 1.0 |
+| 2.8454        | 10.0  | 1200 | 2.8795          | 1.0 |
 
 
 ### Framework versions