update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8
+      value: 0.85
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ 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: 0.6772
-- Accuracy: 0.8
+- Loss: 0.5486
+- Accuracy: 0.85
 
 ## Model description
 
@@ -64,14 +64,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.8944        | 1.0   | 110  | 1.8362          | 0.5167   |
-| 1.4359        | 2.0   | 220  | 1.4329          | 0.5083   |
-| 0.9861        | 3.0   | 330  | 1.0460          | 0.7      |
-| 0.9073        | 4.0   | 440  | 0.8689          | 0.7417   |
-| 0.5268        | 5.0   | 550  | 0.8289          | 0.8      |
-| 0.4683        | 6.0   | 660  | 0.7483          | 0.7833   |
-| 0.2342        | 7.0   | 770  | 0.7025          | 0.8      |
-| 0.2886        | 8.0   | 880  | 0.6772          | 0.8      |
+| 1.9391        | 1.0   | 113  | 1.7463          | 0.42     |
+| 1.3438        | 2.0   | 226  | 1.1953          | 0.64     |
+| 1.04          | 3.0   | 339  | 0.9436          | 0.72     |
+| 0.8608        | 4.0   | 452  | 0.8464          | 0.74     |
+| 0.5644        | 5.0   | 565  | 0.6846          | 0.8      |
+| 0.4311        | 6.0   | 678  | 0.7118          | 0.77     |
+| 0.509         | 7.0   | 791  | 0.5660          | 0.83     |
+| 0.2548        | 8.0   | 904  | 0.5486          | 0.85     |
 
 
 ### Framework versions