End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9914320685434517
+      value: 0.9865361077111383
 ---
 
 <!-- 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 [sravan-gorugantu/model2024-05-20](https://huggingface.co/sravan-gorugantu/model2024-05-20) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2444
-- Accuracy: 0.9914
+- Loss: 0.1965
+- Accuracy: 0.9865
 
 ## Model description
 
@@ -67,11 +67,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.92  | 6    | 0.5583          | 0.9106   |
-| 0.6124        | 2.0   | 13   | 0.3858          | 0.9865   |
-| 0.6124        | 2.92  | 19   | 0.3014          | 0.9841   |
-| 0.3893        | 4.0   | 26   | 0.2523          | 0.9902   |
-| 0.2866        | 4.62  | 30   | 0.2444          | 0.9914   |
+| No log        | 0.92  | 6    | 0.4511          | 0.9535   |
+| 0.544         | 2.0   | 13   | 0.3115          | 0.9804   |
+| 0.544         | 2.92  | 19   | 0.2408          | 0.9841   |
+| 0.3181        | 4.0   | 26   | 0.2026          | 0.9841   |
+| 0.2353        | 4.62  | 30   | 0.1965          | 0.9865   |
 
 
 ### Framework versions