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 [MariaK/distilhubert-finetuned-gtzan-v3](https://huggingface.co/MariaK/distilhubert-finetuned-gtzan-v3) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5656
-- Accuracy: 0.87
+- Loss: 0.4764
+- Accuracy: 0.88
 
 ## Model description
 
@@ -38,7 +38,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 2e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -47,17 +47,15 @@ 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: 0.2
-- num_epochs: 5
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.074         | 0.99  | 56   | 0.8150          | 0.79     |
-| 0.0546        | 2.0   | 113  | 0.5489          | 0.86     |
-| 0.0156        | 2.99  | 169  | 0.5313          | 0.88     |
-| 0.0072        | 4.0   | 226  | 0.5566          | 0.87     |
-| 0.0058        | 4.96  | 280  | 0.5656          | 0.87     |
+| 0.0791        | 0.99  | 56   | 0.5451          | 0.82     |
+| 0.0677        | 2.0   | 113  | 0.4793          | 0.88     |
+| 0.0329        | 2.97  | 168  | 0.4764          | 0.88     |
 
 
 ### Framework versions