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](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0286
-- Accuracy: 0.6200
+- Loss: 1.0592
+- Accuracy: 0.5200
 
 ## Model description
 
@@ -44,28 +44,18 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 12
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 15
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.2694        | 0.98  | 41   | 1.1830          | 0.4800   |
-| 1.0457        | 1.98  | 82   | 1.0959          | 0.4400   |
-| 0.9201        | 2.98  | 123  | 0.9280          | 0.5600   |
-| 0.8003        | 3.98  | 164  | 0.9346          | 0.7000   |
-| 0.7616        | 4.98  | 205  | 0.9257          | 0.6600   |
-| 0.6955        | 5.98  | 246  | 0.8411          | 0.7200   |
-| 0.6743        | 6.98  | 287  | 0.9604          | 0.6200   |
-| 0.5737        | 7.98  | 328  | 0.8471          | 0.7000   |
-| 0.5269        | 8.98  | 369  | 1.0581          | 0.6000   |
-| 0.4671        | 9.98  | 410  | 1.0365          | 0.6400   |
-| 0.4227        | 10.98 | 451  | 1.0994          | 0.6000   |
-| 0.3688        | 11.98 | 492  | 1.0964          | 0.5800   |
-| 0.355         | 12.98 | 533  | 1.0586          | 0.5800   |
-| 0.3232        | 13.98 | 574  | 1.0414          | 0.6000   |
-| 0.3045        | 14.98 | 615  | 1.0286          | 0.6200   |
+| 1.2789        | 0.98  | 41   | 1.2019          | 0.4000   |
+| 1.0522        | 1.98  | 82   | 1.1521          | 0.4000   |
+| 0.957         | 2.98  | 123  | 1.0673          | 0.5200   |
+| 0.87          | 3.98  | 164  | 1.0955          | 0.5      |
+| 0.8053        | 4.98  | 205  | 1.0592          | 0.5200   |
 
 
 ### Framework versions