update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.82
+      value: 0.87
 ---
 
 <!-- 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:
-- Accuracy: 0.82
-- Loss: 1.0803
+- Accuracy: 0.87
+- Loss: 0.9175
 
 ## Model description
 
@@ -59,7 +59,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 20
+- num_epochs: 17
 
 ### Training results
 
@@ -82,11 +82,6 @@ The following hyperparameters were used during training:
 | 0.0025        | 15.0  | 1695 | 0.83     | 1.0476          |
 | 0.0021        | 16.0  | 1808 | 0.82     | 1.0483          |
 | 0.0183        | 17.0  | 1921 | 0.87     | 0.9175          |
-| 0.0017        | 18.0  | 2034 | 0.83     | 1.0867          |
-| 0.0015        | 19.0  | 2147 | 0.82     | 1.1854          |
-| 0.0014        | 20.0  | 2260 | 0.84     | 0.9784          |
-| 0.0012        | 21.0  | 2373 | 0.82     | 1.0518          |
-| 0.0011        | 22.0  | 2486 | 0.82     | 1.0803          |
 
 
 ### Framework versions