update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.85
+      value: 0.84
 ---
 
 <!-- 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: 0.6064
-- Accuracy: 0.85
+- Loss: 0.5888
+- Accuracy: 0.84
 
 ## Model description
 
@@ -67,11 +67,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.9939        | 1.0   | 112  | 0.7660          | 0.77     |
-| 0.777         | 2.0   | 225  | 0.6270          | 0.81     |
-| 0.6878        | 3.0   | 337  | 0.5810          | 0.82     |
-| 0.5696        | 4.0   | 450  | 0.5826          | 0.85     |
-| 0.4433        | 4.98  | 560  | 0.6064          | 0.85     |
+| 0.6634        | 1.0   | 112  | 0.5922          | 0.85     |
+| 0.7302        | 2.0   | 225  | 0.6102          | 0.83     |
+| 0.4642        | 3.0   | 337  | 0.4948          | 0.83     |
+| 0.4121        | 4.0   | 450  | 0.5297          | 0.88     |
+| 0.2822        | 4.98  | 560  | 0.5888          | 0.84     |
 
 
 ### Framework versions