Model save

README.md

@@ -32,7 +32,7 @@ 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: 1.2098
+- Loss: 1.2534
 - Accuracy: 1.0
 
 ## Model description
@@ -65,10 +65,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.5504        | 1.0   | 8    | 1.4484          | 0.9630   |
-| 1.3809        | 2.0   | 16   | 1.3163          | 1.0      |
-| 1.2706        | 3.0   | 24   | 1.2381          | 1.0      |
-| 1.2157        | 4.0   | 32   | 1.2098          | 1.0      |
+| 1.5698        | 1.0   | 8    | 1.4799          | 0.9630   |
+| 1.4171        | 2.0   | 16   | 1.3545          | 1.0      |
+| 1.3121        | 3.0   | 24   | 1.2796          | 1.0      |
+| 1.2604        | 4.0   | 32   | 1.2534          | 1.0      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b75700af5d78e8ab35a966c6d57fa88bf5e0045cb58e1b21e860a1b75c581157
+oid sha256:16fb8c363def537fc414804d73b03ceb8f07c917abb5a3e7798895b2c21bbdc5
 size 94766588