update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.84
+      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: 0.5916
-- Accuracy: 0.84
+- Loss: 0.5535
+- Accuracy: 0.85
 
 ## Model description
 
@@ -51,39 +51,29 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2.5e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - 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: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.2746        | 1.0   | 57   | 2.2507          | 0.28     |
-| 2.0451        | 2.0   | 114  | 1.9551          | 0.5      |
-| 1.6461        | 3.0   | 171  | 1.5926          | 0.68     |
-| 1.5045        | 4.0   | 228  | 1.3429          | 0.75     |
-| 1.2469        | 5.0   | 285  | 1.1902          | 0.75     |
-| 1.12          | 6.0   | 342  | 1.1030          | 0.74     |
-| 1.0061        | 7.0   | 399  | 0.9923          | 0.77     |
-| 0.9674        | 8.0   | 456  | 0.8894          | 0.81     |
-| 0.8545        | 9.0   | 513  | 0.8524          | 0.82     |
-| 0.6644        | 10.0  | 570  | 0.8045          | 0.81     |
-| 0.5531        | 11.0  | 627  | 0.8388          | 0.8      |
-| 0.5411        | 12.0  | 684  | 0.6921          | 0.83     |
-| 0.4759        | 13.0  | 741  | 0.7136          | 0.83     |
-| 0.4236        | 14.0  | 798  | 0.6716          | 0.83     |
-| 0.4235        | 15.0  | 855  | 0.6322          | 0.82     |
-| 0.4098        | 16.0  | 912  | 0.6108          | 0.83     |
-| 0.3988        | 17.0  | 969  | 0.6296          | 0.85     |
-| 0.3493        | 18.0  | 1026 | 0.5921          | 0.83     |
-| 0.3143        | 19.0  | 1083 | 0.5948          | 0.84     |
-| 0.3036        | 20.0  | 1140 | 0.5916          | 0.84     |
+| 1.9852        | 1.0   | 113  | 1.8289          | 0.34     |
+| 1.3305        | 2.0   | 226  | 1.2247          | 0.62     |
+| 1.0181        | 3.0   | 339  | 0.9353          | 0.77     |
+| 0.728         | 4.0   | 452  | 0.9143          | 0.74     |
+| 0.5623        | 5.0   | 565  | 0.6578          | 0.82     |
+| 0.3524        | 6.0   | 678  | 0.6504          | 0.82     |
+| 0.4248        | 7.0   | 791  | 0.5781          | 0.82     |
+| 0.1001        | 8.0   | 904  | 0.4987          | 0.88     |
+| 0.1922        | 9.0   | 1017 | 0.5163          | 0.85     |
+| 0.134         | 10.0  | 1130 | 0.5535          | 0.85     |
 
 
 ### Framework versions