update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.45
+      value: 0.88
 ---
 
 <!-- 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: 1.9679
-- Accuracy: 0.45
+- Loss: 0.4795
+- Accuracy: 0.88
 
 ## Model description
 
@@ -53,19 +53,30 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 4
+- eval_batch_size: 4
 - 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: 1
+- num_epochs: 12
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.1093        | 1.0   | 113  | 1.9679          | 0.45     |
+| 2.0422        | 1.0   | 225  | 2.0126          | 0.27     |
+| 1.331         | 2.0   | 450  | 1.3795          | 0.54     |
+| 1.2571        | 3.0   | 675  | 1.0070          | 0.72     |
+| 1.2968        | 4.0   | 900  | 0.8590          | 0.77     |
+| 0.7658        | 5.0   | 1125 | 0.7889          | 0.77     |
+| 0.5499        | 6.0   | 1350 | 0.5743          | 0.82     |
+| 0.8344        | 7.0   | 1575 | 0.6065          | 0.81     |
+| 0.3919        | 8.0   | 1800 | 0.5650          | 0.87     |
+| 0.2808        | 9.0   | 2025 | 0.4605          | 0.87     |
+| 0.4463        | 10.0  | 2250 | 0.5161          | 0.86     |
+| 0.5678        | 11.0  | 2475 | 0.5359          | 0.87     |
+| 0.3032        | 12.0  | 2700 | 0.4795          | 0.88     |
 
 
 ### Framework versions