End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.84
+      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: 0.8438
-- Accuracy: 0.84
+- Loss: 0.7982
+- Accuracy: 0.83
 
 ## Model description
 
@@ -65,21 +65,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.1199        | 1.0   | 113  | 2.0015          | 0.48     |
-| 1.4342        | 2.0   | 226  | 1.3339          | 0.62     |
-| 1.1096        | 3.0   | 339  | 1.0138          | 0.72     |
-| 1.0446        | 4.0   | 452  | 0.8484          | 0.74     |
-| 0.6716        | 5.0   | 565  | 0.7406          | 0.75     |
-| 0.3906        | 6.0   | 678  | 0.6848          | 0.81     |
-| 0.335         | 7.0   | 791  | 0.5893          | 0.81     |
-| 0.141         | 8.0   | 904  | 0.7190          | 0.79     |
-| 0.1962        | 9.0   | 1017 | 0.7019          | 0.84     |
-| 0.0604        | 10.0  | 1130 | 0.7604          | 0.83     |
-| 0.0141        | 11.0  | 1243 | 0.8239          | 0.83     |
-| 0.0982        | 12.0  | 1356 | 0.7948          | 0.84     |
-| 0.0086        | 13.0  | 1469 | 0.8192          | 0.84     |
-| 0.0078        | 14.0  | 1582 | 0.8407          | 0.83     |
-| 0.0073        | 15.0  | 1695 | 0.8438          | 0.84     |
+| 2.123         | 1.0   | 113  | 1.9863          | 0.53     |
+| 1.4993        | 2.0   | 226  | 1.4234          | 0.61     |
+| 1.133         | 3.0   | 339  | 1.0297          | 0.69     |
+| 1.1152        | 4.0   | 452  | 1.0096          | 0.71     |
+| 0.6833        | 5.0   | 565  | 0.8396          | 0.75     |
+| 0.399         | 6.0   | 678  | 0.7703          | 0.8      |
+| 0.3946        | 7.0   | 791  | 0.6543          | 0.77     |
+| 0.156         | 8.0   | 904  | 0.7745          | 0.76     |
+| 0.2306        | 9.0   | 1017 | 0.6549          | 0.81     |
+| 0.1089        | 10.0  | 1130 | 0.6494          | 0.85     |
+| 0.0161        | 11.0  | 1243 | 0.7248          | 0.82     |
+| 0.0886        | 12.0  | 1356 | 0.7411          | 0.84     |
+| 0.0098        | 13.0  | 1469 | 0.7498          | 0.82     |
+| 0.0089        | 14.0  | 1582 | 0.8006          | 0.82     |
+| 0.0087        | 15.0  | 1695 | 0.7982          | 0.83     |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:aaf5ee08b34a3de02590f8c82d4e500f2155d3d9ca8174469cebfaaa798c64b5
+oid sha256:825c07bba512b947ce204594a8f5357880c1808b07cba9d89970023b1e077286
 size 94783376