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: 0.6216
-- Accuracy: 0.85
+- Loss: 0.7706
+- Accuracy: 0.84
 
 ## Model description
 
@@ -45,18 +45,17 @@ 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: 5
+- num_epochs: 4
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4112        | 1.0   | 113  | 0.6618          | 0.83     |
-| 0.1451        | 2.0   | 226  | 0.6944          | 0.82     |
-| 0.1972        | 3.0   | 339  | 0.5561          | 0.86     |
-| 0.0062        | 4.0   | 452  | 0.5888          | 0.88     |
-| 0.0058        | 5.0   | 565  | 0.6216          | 0.85     |
+| 0.0486        | 1.0   | 113  | 0.9972          | 0.8      |
+| 0.0018        | 2.0   | 226  | 0.8953          | 0.81     |
+| 0.0025        | 3.0   | 339  | 0.7969          | 0.83     |
+| 0.0007        | 4.0   | 452  | 0.7706          | 0.84     |
 
 
 ### Framework versions