update model card README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-base-100k-voxpopuli](https://huggingface.co/facebook/wav2vec2-base-100k-voxpopuli) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6757
-- Accuracy: 0.56
+- Loss: 0.9408
+- Accuracy: 0.86
 
 ## Model description
 
@@ -36,27 +36,42 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 5e-05
 - train_batch_size: 2
 - eval_batch_size: 2
 - seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 4
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 5
+- num_epochs: 20
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 112  | 2.1200          | 0.45     |
-| No log        | 2.0   | 224  | 1.9199          | 0.49     |
-| No log        | 3.0   | 336  | 1.7905          | 0.51     |
-| No log        | 4.0   | 448  | 1.7192          | 0.51     |
-| No log        | 5.0   | 560  | 1.6757          | 0.56     |
+| No log        | 1.0   | 225  | 2.1672          | 0.3      |
+| 2.1675        | 2.0   | 450  | 2.0095          | 0.29     |
+| 2.1675        | 3.0   | 675  | 1.7326          | 0.29     |
+| 1.7199        | 4.0   | 900  | 1.4980          | 0.49     |
+| 1.7199        | 5.0   | 1125 | 1.4088          | 0.37     |
+| 1.3585        | 6.0   | 1350 | 1.2238          | 0.54     |
+| 1.3585        | 7.0   | 1575 | 1.3579          | 0.52     |
+| 1.0599        | 8.0   | 1800 | 0.9954          | 0.62     |
+| 1.0599        | 9.0   | 2025 | 0.9543          | 0.73     |
+| 0.8337        | 10.0  | 2250 | 0.9428          | 0.76     |
+| 0.8337        | 11.0  | 2475 | 0.8810          | 0.78     |
+| 0.5861        | 12.0  | 2700 | 0.7753          | 0.76     |
+| 0.5861        | 13.0  | 2925 | 0.9981          | 0.74     |
+| 0.3662        | 14.0  | 3150 | 1.1597          | 0.77     |
+| 0.3662        | 15.0  | 3375 | 1.0466          | 0.79     |
+| 0.277         | 16.0  | 3600 | 1.0763          | 0.81     |
+| 0.277         | 17.0  | 3825 | 0.8407          | 0.87     |
+| 0.1731        | 18.0  | 4050 | 0.9317          | 0.86     |
+| 0.1731        | 19.0  | 4275 | 0.8545          | 0.87     |
+| 0.1489        | 20.0  | 4500 | 0.9408          | 0.86     |
 
 
 ### Framework versions