update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.84
+      value: 0.81
 ---
 
 <!-- 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: 0.5331
-- Accuracy: 0.84
+- Loss: 0.9143
+- Accuracy: 0.81
 
 ## Model description
 
@@ -52,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 0.0001
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -65,21 +65,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.9826        | 1.0   | 113  | 1.7853          | 0.54     |
-| 1.2433        | 2.0   | 226  | 1.1936          | 0.65     |
-| 1.0246        | 3.0   | 339  | 0.8940          | 0.77     |
-| 0.8034        | 4.0   | 452  | 0.7814          | 0.74     |
-| 0.5537        | 5.0   | 565  | 0.7150          | 0.77     |
-| 0.3963        | 6.0   | 678  | 0.6871          | 0.81     |
-| 0.4926        | 7.0   | 791  | 0.5955          | 0.83     |
-| 0.2011        | 8.0   | 904  | 0.4997          | 0.85     |
-| 0.2908        | 9.0   | 1017 | 0.5475          | 0.84     |
-| 0.1639        | 10.0  | 1130 | 0.5331          | 0.84     |
+| 1.8743        | 1.0   | 113  | 1.5757          | 0.54     |
+| 1.064         | 2.0   | 226  | 1.0082          | 0.62     |
+| 0.8998        | 3.0   | 339  | 0.9248          | 0.72     |
+| 0.7369        | 4.0   | 452  | 0.9222          | 0.71     |
+| 0.4974        | 5.0   | 565  | 0.7056          | 0.77     |
+| 0.2791        | 6.0   | 678  | 0.9696          | 0.78     |
+| 0.1814        | 7.0   | 791  | 0.8932          | 0.8      |
+| 0.0229        | 8.0   | 904  | 0.8166          | 0.82     |
+| 0.0193        | 9.0   | 1017 | 0.8444          | 0.81     |
+| 0.0435        | 10.0  | 1130 | 0.9143          | 0.81     |
 
 
 ### Framework versions
 
-- Transformers 4.31.0.dev0
+- Transformers 4.32.0.dev0
 - Pytorch 2.0.1+cu118
-- Datasets 2.13.1
+- Datasets 2.14.3
 - Tokenizers 0.13.3