End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.86
+      value: 0.83
 ---
 
 <!-- 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: 0.5379
-- Accuracy: 0.86
+- Loss: 0.8069
+- Accuracy: 0.83
 
 ## Model description
 
@@ -65,21 +65,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.1208        | 1.0   | 113  | 1.9459          | 0.43     |
-| 1.4174        | 2.0   | 226  | 1.3111          | 0.58     |
-| 1.1212        | 3.0   | 339  | 1.0150          | 0.74     |
-| 0.8741        | 4.0   | 452  | 0.9580          | 0.75     |
-| 0.7558        | 5.0   | 565  | 0.6899          | 0.81     |
-| 0.3703        | 6.0   | 678  | 0.7446          | 0.77     |
-| 0.4568        | 7.0   | 791  | 0.6006          | 0.85     |
-| 0.1364        | 8.0   | 904  | 0.6631          | 0.81     |
-| 0.2268        | 9.0   | 1017 | 0.5379          | 0.86     |
-| 0.1425        | 10.0  | 1130 | 0.6129          | 0.85     |
-| 0.0259        | 11.0  | 1243 | 0.7415          | 0.84     |
-| 0.0703        | 12.0  | 1356 | 0.6668          | 0.85     |
-| 0.0108        | 13.0  | 1469 | 0.6782          | 0.85     |
-| 0.0125        | 14.0  | 1582 | 0.7190          | 0.84     |
-| 0.0091        | 15.0  | 1695 | 0.7204          | 0.84     |
+| 2.1133        | 1.0   | 113  | 1.9482          | 0.42     |
+| 1.3938        | 2.0   | 226  | 1.2709          | 0.72     |
+| 1.098         | 3.0   | 339  | 0.9370          | 0.76     |
+| 0.849         | 4.0   | 452  | 0.9364          | 0.74     |
+| 0.5107        | 5.0   | 565  | 0.7350          | 0.73     |
+| 0.364         | 6.0   | 678  | 0.7841          | 0.75     |
+| 0.414         | 7.0   | 791  | 0.6663          | 0.82     |
+| 0.2109        | 8.0   | 904  | 0.6041          | 0.84     |
+| 0.1428        | 9.0   | 1017 | 0.6227          | 0.83     |
+| 0.1046        | 10.0  | 1130 | 0.6971          | 0.84     |
+| 0.0251        | 11.0  | 1243 | 0.7502          | 0.82     |
+| 0.0522        | 12.0  | 1356 | 0.7742          | 0.82     |
+| 0.0116        | 13.0  | 1469 | 0.7442          | 0.85     |
+| 0.0081        | 14.0  | 1582 | 0.7850          | 0.84     |
+| 0.0094        | 15.0  | 1695 | 0.8069          | 0.83     |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8930b2b228c2c57aa661a9f53af3523bda189c3d0927e8a6b1f4104e3496d131
+oid sha256:9c8fe2624859e4a5aa377091173fd182ae4c853e5d8accf5cd29e0a74a33d9a1
 size 94783376