update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.85
+      value: 0.9
 ---
 
 <!-- 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 [bookbot/distil-ast-audioset](https://huggingface.co/bookbot/distil-ast-audioset) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6033
-- Accuracy: 0.85
+- Loss: 0.5918
+- Accuracy: 0.9
 
 ## Model description
 
@@ -59,22 +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: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.2238        | 1.0   | 113  | 0.8023          | 0.75     |
-| 0.6623        | 2.0   | 226  | 0.6611          | 0.79     |
-| 0.9376        | 3.0   | 339  | 0.6243          | 0.81     |
-| 0.3924        | 4.0   | 452  | 0.6123          | 0.85     |
-| 0.2442        | 5.0   | 565  | 0.5983          | 0.83     |
-| 0.1408        | 6.0   | 678  | 0.6270          | 0.84     |
-| 0.2874        | 7.0   | 791  | 0.7019          | 0.78     |
-| 0.0177        | 8.0   | 904  | 0.6482          | 0.83     |
-| 0.036         | 9.0   | 1017 | 0.5012          | 0.88     |
-| 0.0013        | 10.0  | 1130 | 0.6033          | 0.85     |
+| 0.9796        | 1.0   | 113  | 0.6252          | 0.85     |
+| 0.7554        | 2.0   | 226  | 0.4882          | 0.86     |
+| 0.5652        | 3.0   | 339  | 0.6223          | 0.77     |
+| 0.193         | 4.0   | 452  | 0.6506          | 0.84     |
+| 0.0392        | 5.0   | 565  | 0.7147          | 0.86     |
+| 0.2759        | 6.0   | 678  | 0.8537          | 0.81     |
+| 0.2412        | 7.0   | 791  | 0.6172          | 0.87     |
+| 0.0648        | 8.0   | 904  | 0.6085          | 0.86     |
+| 0.308         | 9.0   | 1017 | 0.7734          | 0.86     |
+| 0.0002        | 10.0  | 1130 | 0.6427          | 0.88     |
+| 0.0001        | 11.0  | 1243 | 0.6242          | 0.89     |
+| 0.0           | 12.0  | 1356 | 0.5868          | 0.9      |
+| 0.0001        | 13.0  | 1469 | 0.6369          | 0.9      |
+| 0.0001        | 14.0  | 1582 | 0.6108          | 0.9      |
+| 0.0001        | 15.0  | 1695 | 0.6002          | 0.9      |
+| 0.0           | 16.0  | 1808 | 0.5925          | 0.9      |
+| 0.0           | 17.0  | 1921 | 0.5898          | 0.9      |
+| 0.0           | 18.0  | 2034 | 0.5877          | 0.9      |
+| 0.0           | 19.0  | 2147 | 0.5926          | 0.9      |
+| 0.0001        | 20.0  | 2260 | 0.5918          | 0.9      |
 
 
 ### Framework versions