Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8229508196721311
+      value: 0.9426229508196722
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3833
-- Accuracy: 0.8230
+- Loss: 0.1903
+- Accuracy: 0.9426
 
 ## Model description
 
@@ -61,13 +61,16 @@ 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_ratio: 0.01
-- num_epochs: 1
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4842        | 0.99  | 38   | 0.3833          | 0.8230   |
+| 0.4728        | 0.99  | 38   | 0.3706          | 0.8689   |
+| 0.2799        | 1.99  | 76   | 0.2818          | 0.8934   |
+| 0.2014        | 2.98  | 114  | 0.2165          | 0.9295   |
+| 0.1548        | 3.97  | 152  | 0.1903          | 0.9426   |
 
 
 ### Framework versions