End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7
+      value: 0.79
 ---
 
 <!-- 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 GTZAN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6085
-- Accuracy: 0.7
+- Loss: 0.6862
+- Accuracy: 0.79
 
 ## Model description
 
@@ -52,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 5e-05
 - train_batch_size: 20
 - eval_batch_size: 20
 - seed: 42
@@ -65,16 +65,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.284         | 1.0   | 45   | 2.2715          | 0.28     |
-| 2.2235        | 2.0   | 90   | 2.1789          | 0.47     |
-| 2.0628        | 3.0   | 135  | 2.0368          | 0.63     |
-| 1.9314        | 4.0   | 180  | 1.9068          | 0.66     |
-| 1.8308        | 5.0   | 225  | 1.8077          | 0.66     |
-| 1.7901        | 6.0   | 270  | 1.7276          | 0.7      |
-| 1.7703        | 7.0   | 315  | 1.6747          | 0.69     |
-| 1.7163        | 8.0   | 360  | 1.6382          | 0.69     |
-| 1.6133        | 9.0   | 405  | 1.6154          | 0.7      |
-| 1.6876        | 10.0  | 450  | 1.6085          | 0.7      |
+| 2.1654        | 1.0   | 45   | 2.0737          | 0.46     |
+| 1.6926        | 2.0   | 90   | 1.5669          | 0.55     |
+| 1.2793        | 3.0   | 135  | 1.1986          | 0.77     |
+| 1.0386        | 4.0   | 180  | 1.0169          | 0.78     |
+| 0.9172        | 5.0   | 225  | 0.9652          | 0.71     |
+| 0.7859        | 6.0   | 270  | 0.7929          | 0.79     |
+| 0.7468        | 7.0   | 315  | 0.7860          | 0.75     |
+| 0.6594        | 8.0   | 360  | 0.7388          | 0.79     |
+| 0.471         | 9.0   | 405  | 0.6955          | 0.79     |
+| 0.5886        | 10.0  | 450  | 0.6862          | 0.79     |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0d6bf85fe582ef7aae90fbb8f923da3cedff37459fc1d7ffc0dd2eb694b4626e
+oid sha256:a6346068b669e93598c16c1fd3efefaaf252a8f309e39b9a992ccc598e781509
 size 94783376