End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.72
+      value: 0.73
 ---
 
 <!-- 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: 1.0412
-- Accuracy: 0.72
+- Loss: 0.8904
+- Accuracy: 0.73
 
 ## Model description
 
@@ -52,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.00010907514589859908
+- learning_rate: 0.0001805735511054418
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -65,8 +65,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.5919        | 1.0   | 113  | 1.3512          | 0.59     |
-| 1.0726        | 2.0   | 226  | 1.0412          | 0.72     |
+| 1.5058        | 1.0   | 113  | 1.3238          | 0.54     |
+| 1.0122        | 2.0   | 226  | 0.8904          | 0.73     |
 
 
 ### Framework versions