update model card README.md

README.md

@@ -18,8 +18,8 @@ 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: 2.2122
-- Accuracy: 0.46
+- Loss: 0.6189
+- Accuracy: 0.83
 
 ## Model description
 
@@ -38,7 +38,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1.9710604668225084e-06
+- learning_rate: 0.00013888307813432008
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.2805        | 1.0   | 112  | 2.2812          | 0.25     |
-| 2.2618        | 2.0   | 225  | 2.2510          | 0.32     |
-| 2.24          | 3.0   | 337  | 2.2299          | 0.42     |
-| 2.2191        | 4.0   | 450  | 2.2166          | 0.44     |
-| 2.2425        | 4.98  | 560  | 2.2122          | 0.46     |
+| 1.2028        | 1.0   | 112  | 1.2877          | 0.56     |
+| 0.7758        | 2.0   | 225  | 0.9572          | 0.74     |
+| 0.706         | 3.0   | 337  | 0.9283          | 0.7      |
+| 0.4612        | 4.0   | 450  | 0.8568          | 0.78     |
+| 0.2309        | 4.98  | 560  | 0.6189          | 0.83     |
 
 
 ### Framework versions