End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9865361077111383
+      value: 0.988984088127295
 ---
 
 <!-- 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: 0.1965
-- Accuracy: 0.9865
+- Loss: 0.2042
+- Accuracy: 0.9890
 
 ## 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    | 0.4511          | 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   |
+| No log        | 0.92  | 6    | 0.4721          | 0.9829   |
+| 0.5325        | 2.0   | 13   | 0.3214          | 0.9890   |
+| 0.5325        | 2.92  | 19   | 0.2483          | 0.9865   |
+| 0.3277        | 4.0   | 26   | 0.2103          | 0.9890   |
+| 0.2439        | 4.62  | 30   | 0.2042          | 0.9890   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:96593f852b9f9f41949be1ec617491f2730348b0a7a19edf76dadbd057040d9d
+oid sha256:db62986dd40012d469be811c37270b80e5aea48d9e54239fbd7375b586c490b0
 size 94763496