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: 0.0140
+- Loss: 1.2548
 - Accuracy: 1.0
 
 ## Model description
@@ -52,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
+- learning_rate: 1e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -65,10 +65,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.1307        | 1.0   | 8    | 0.3556          | 1.0      |
-| 0.2175        | 2.0   | 16   | 0.0685          | 1.0      |
-| 0.0491        | 3.0   | 24   | 0.0205          | 1.0      |
-| 0.0208        | 4.0   | 32   | 0.0140          | 1.0      |
+| 1.591         | 1.0   | 8    | 1.5051          | 0.8519   |
+| 1.4364        | 2.0   | 16   | 1.3666          | 1.0      |
+| 1.3203        | 3.0   | 24   | 1.2839          | 1.0      |
+| 1.263         | 4.0   | 32   | 1.2548          | 1.0      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:597ef4c7dda7a4ca58eacf05b0a903bd2703b168ec4beecab743be2a2714302b
+oid sha256:90c83170e9cc7f5f7126582023a1872fe0d9013b3aa5b255f9af0c5c5694a8fa
 size 94766588