update model card README.md

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - marsyas/gtzan
+metrics:
+- accuracy
 model-index:
 - name: distilhubert-finetuned-gtzan
-  results: []
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: GTZAN
+      type: marsyas/gtzan
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.84
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 # distilhubert-finetuned-gtzan
 
 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: 0.5620
+- Accuracy: 0.84
 
 ## Model description
 
@@ -45,6 +63,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.9979        | 1.0   | 113  | 1.8250          | 0.39     |
+| 1.3648        | 2.0   | 226  | 1.3015          | 0.58     |
+| 1.0783        | 3.0   | 339  | 0.9586          | 0.78     |
+| 0.8267        | 4.0   | 452  | 0.8479          | 0.74     |
+| 0.7503        | 5.0   | 565  | 0.7404          | 0.76     |
+| 0.404         | 6.0   | 678  | 0.6402          | 0.81     |
+| 0.4935        | 7.0   | 791  | 0.5936          | 0.81     |
+| 0.2201        | 8.0   | 904  | 0.5934          | 0.82     |
+| 0.2689        | 9.0   | 1017 | 0.5614          | 0.81     |
+| 0.1843        | 10.0  | 1130 | 0.5620          | 0.84     |
 
 
 ### Framework versions