End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.0
+      value: 0.53
 ---
 
 <!-- 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: 2.3223
-- Accuracy: 0.0
+- Loss: 1.8103
+- Accuracy: 0.53
 
 ## Model description
 
@@ -67,7 +67,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 4    | 2.3223          | 0.0      |
+| 1.9046        | 1.0   | 112  | 1.8103          | 0.53     |
 
 
 ### Framework versions