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-large-robust-ft-swbd-300h](https://huggingface.co/facebook/wav2vec2-large-robust-ft-swbd-300h) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5649
-- Wer: 0.3794
+- Loss: 0.5060
+- Wer: 0.3620
 
 ## Model description
 
@@ -35,13 +35,13 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0001
-- train_batch_size: 8
+- train_batch_size: 7
 - 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: 1000
-- num_epochs: 1
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -49,7 +49,12 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step  | Validation Loss | Wer    |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|
 | 0.8809        | 0.44  | 10000 | 0.6088          | 0.4008 |
-| 0.7441        | 0.88  | 20000 | 0.5649          | 0.3794 |
+| 0.8435        | 0.77  | 20000 | 0.6319          | 0.3914 |
+| 0.7454        | 1.15  | 30000 | 0.6126          | 0.3809 |
+| 0.6806        | 1.53  | 40000 | 0.5307          | 0.3792 |
+| 0.6589        | 1.91  | 50000 | 0.5430          | 0.3710 |
+| 0.603         | 2.3   | 60000 | 0.5298          | 0.3646 |
+| 0.5886        | 2.68  | 70000 | 0.5060          | 0.3620 |
 
 
 ### Framework versions