End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.90848026868178
+      value: 0.9151973131821999
 ---
 
 <!-- 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 [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7492
-- Accuracy: 0.9085
+- Loss: 0.7966
+- Accuracy: 0.9152
 
 ## Model description
 
@@ -67,11 +67,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.95  | 9    | 1.0556          | 0.8984   |
-| 1.0821        | 2.0   | 19   | 0.9629          | 0.9261   |
-| 1.0124        | 2.95  | 28   | 0.8606          | 0.9144   |
-| 0.9101        | 4.0   | 38   | 0.7704          | 0.9127   |
-| 0.8145        | 4.74  | 45   | 0.7492          | 0.9085   |
+| No log        | 0.95  | 9    | 1.0626          | 0.7456   |
+| 1.0866        | 2.0   | 19   | 0.9876          | 0.8505   |
+| 1.027         | 2.95  | 28   | 0.8970          | 0.8866   |
+| 0.9428        | 4.0   | 38   | 0.8169          | 0.9194   |
+| 0.8572        | 4.74  | 45   | 0.7966          | 0.9152   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aea28a1444e399662b39b05bb5440b65832f15008cdfaf4adc8737f92290cc43
+oid sha256:7c9ddf52629bab5dac8fbddd4744219044f1509ac54a54447a5d1b6789406e69
 size 94764524