End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.86
+      value: 0.84
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ 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: 0.7073
-- Accuracy: 0.86
+- Loss: 0.6844
+- Accuracy: 0.84
 
 ## Model description
 
@@ -53,7 +53,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 9e-05
+- learning_rate: 8e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -67,16 +67,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.6909        | 1.0   | 113  | 1.6624          | 0.57     |
-| 0.89          | 2.0   | 226  | 1.1358          | 0.67     |
-| 0.748         | 3.0   | 339  | 0.8551          | 0.75     |
-| 0.5167        | 4.0   | 452  | 0.8564          | 0.71     |
-| 0.3093        | 5.0   | 565  | 0.6230          | 0.78     |
-| 0.2078        | 6.0   | 678  | 0.6165          | 0.81     |
-| 0.0857        | 7.0   | 791  | 0.7213          | 0.85     |
-| 0.0133        | 8.0   | 904  | 0.7519          | 0.83     |
-| 0.0127        | 9.0   | 1017 | 0.7289          | 0.84     |
-| 0.0088        | 10.0  | 1130 | 0.7073          | 0.86     |
+| 1.7739        | 1.0   | 113  | 1.6518          | 0.6      |
+| 1.0111        | 2.0   | 226  | 1.0880          | 0.67     |
+| 0.8544        | 3.0   | 339  | 0.9231          | 0.73     |
+| 0.5304        | 4.0   | 452  | 0.8544          | 0.74     |
+| 0.3505        | 5.0   | 565  | 0.5511          | 0.86     |
+| 0.1438        | 6.0   | 678  | 0.5540          | 0.83     |
+| 0.1004        | 7.0   | 791  | 0.6759          | 0.83     |
+| 0.0254        | 8.0   | 904  | 0.5752          | 0.85     |
+| 0.016         | 9.0   | 1017 | 0.6470          | 0.85     |
+| 0.0129        | 10.0  | 1130 | 0.6844          | 0.84     |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:98f2c33b70689c411d2ce89a768dcc789d1b26fdb0d956e9b68843ced21d271d
+oid sha256:399c0158d4d3997e0151cb3611ac044d11ecf8145d8bd04ab38e545fc15dd9c0
 size 94771728