End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9944099378881988
+      value: 0.98531211750306
 ---
 
 <!-- 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: 0.0904
-- Accuracy: 0.9944
+- Loss: 0.2719
+- Accuracy: 0.9853
 
 ## Model description
 
@@ -67,11 +67,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6962        | 0.94  | 12   | 0.4940          | 0.9652   |
-| 0.452         | 1.96  | 25   | 0.2294          | 0.9901   |
-| 0.2681        | 2.98  | 38   | 0.1292          | 0.9932   |
-| 0.1245        | 4.0   | 51   | 0.0975          | 0.9938   |
-| 0.1112        | 4.71  | 60   | 0.0904          | 0.9944   |
+| No log        | 0.92  | 6    | 0.5993          | 0.8360   |
+| 0.6485        | 2.0   | 13   | 0.4347          | 0.9645   |
+| 0.6485        | 2.92  | 19   | 0.3306          | 0.9853   |
+| 0.4261        | 4.0   | 26   | 0.2801          | 0.9853   |
+| 0.3134        | 4.62  | 30   | 0.2719          | 0.9853   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:799c963ccd42b2b4354abb0e1888ce66c1727b0afaf00d6432b8e30628f67da9
+oid sha256:63e00d371f21eafce41968546adb4fd6ff3b084ecbcd82f9ad695a4905d0468a
 size 94763496