update model card README.md

README.md

@@ -20,7 +20,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.85
+      value: 0.83
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,8 +30,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ykirpichev/distilhubert-finetuned-gtzan](https://huggingface.co/ykirpichev/distilhubert-finetuned-gtzan) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6923
-- Accuracy: 0.85
+- Loss: 1.0892
+- Accuracy: 0.83
 
 ## Model description
 
@@ -63,11 +63,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0418        | 1.0   | 113  | 0.5770          | 0.84     |
-| 0.2014        | 2.0   | 226  | 0.7910          | 0.82     |
-| 0.1594        | 3.0   | 339  | 0.7139          | 0.85     |
-| 0.0037        | 4.0   | 452  | 0.6513          | 0.89     |
-| 0.0031        | 5.0   | 565  | 0.6923          | 0.85     |
+| 0.0171        | 1.0   | 113  | 1.8133          | 0.73     |
+| 0.0637        | 2.0   | 226  | 1.3377          | 0.79     |
+| 0.2052        | 3.0   | 339  | 0.8646          | 0.88     |
+| 0.0019        | 4.0   | 452  | 1.0868          | 0.82     |
+| 0.0003        | 5.0   | 565  | 1.0892          | 0.83     |
 
 
 ### Framework versions