update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.86
+      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: 0.5011
-- Accuracy: 0.86
+- Loss: 0.9492
+- Accuracy: 0.81
 
 ## Model description
 
@@ -59,27 +59,32 @@ 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: 10
+- num_epochs: 15
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.0054        | 1.0   | 113  | 1.8169          | 0.49     |
-| 1.2593        | 2.0   | 226  | 1.1584          | 0.68     |
-| 1.0159        | 3.0   | 339  | 0.9291          | 0.78     |
-| 0.855         | 4.0   | 452  | 0.8475          | 0.73     |
-| 0.5882        | 5.0   | 565  | 0.6780          | 0.76     |
-| 0.3857        | 6.0   | 678  | 0.5296          | 0.85     |
-| 0.3972        | 7.0   | 791  | 0.5024          | 0.86     |
-| 0.14          | 8.0   | 904  | 0.5223          | 0.82     |
-| 0.2591        | 9.0   | 1017 | 0.4893          | 0.85     |
-| 0.141         | 10.0  | 1130 | 0.5011          | 0.86     |
+| 2.1278        | 1.0   | 113  | 1.9945          | 0.46     |
+| 1.422         | 2.0   | 226  | 1.3210          | 0.63     |
+| 1.0769        | 3.0   | 339  | 0.9838          | 0.77     |
+| 0.8781        | 4.0   | 452  | 0.8076          | 0.75     |
+| 0.6584        | 5.0   | 565  | 0.6962          | 0.79     |
+| 0.4766        | 6.0   | 678  | 0.5555          | 0.84     |
+| 0.3916        | 7.0   | 791  | 0.5909          | 0.84     |
+| 0.1187        | 8.0   | 904  | 0.6129          | 0.81     |
+| 0.1442        | 9.0   | 1017 | 0.7126          | 0.79     |
+| 0.1238        | 10.0  | 1130 | 0.8089          | 0.8      |
+| 0.0291        | 11.0  | 1243 | 0.8908          | 0.79     |
+| 0.0821        | 12.0  | 1356 | 0.8962          | 0.81     |
+| 0.0104        | 13.0  | 1469 | 0.8957          | 0.81     |
+| 0.0311        | 14.0  | 1582 | 0.9264          | 0.81     |
+| 0.0107        | 15.0  | 1695 | 0.9492          | 0.81     |
 
 
 ### Framework versions
 
-- Transformers 4.32.0.dev0
+- Transformers 4.31.0
 - Pytorch 2.0.1+cu118
-- Datasets 2.13.1
+- Datasets 2.14.4
 - Tokenizers 0.13.3