End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.78
+      value: 0.82
 ---
 
 <!-- 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: 0.9204
-- Accuracy: 0.78
+- Loss: 0.6623
+- Accuracy: 0.82
 
 ## Model description
 
@@ -52,30 +52,40 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 3e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - 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
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.2131        | 1.0   | 113  | 2.0971          | 0.42     |
-| 1.786         | 2.0   | 226  | 1.6744          | 0.56     |
-| 1.5128        | 3.0   | 339  | 1.4491          | 0.66     |
-| 1.2987        | 4.0   | 452  | 1.2673          | 0.74     |
-| 1.1823        | 5.0   | 565  | 1.1610          | 0.71     |
-| 1.0707        | 6.0   | 678  | 1.0937          | 0.74     |
-| 1.0015        | 7.0   | 791  | 1.0214          | 0.75     |
-| 0.8765        | 8.0   | 904  | 0.9650          | 0.75     |
-| 0.833         | 9.0   | 1017 | 0.9415          | 0.75     |
-| 0.7924        | 10.0  | 1130 | 0.9204          | 0.78     |
+| 2.2457        | 1.0   | 113  | 2.1827          | 0.33     |
+| 1.8385        | 2.0   | 226  | 1.6935          | 0.61     |
+| 1.46          | 3.0   | 339  | 1.4282          | 0.63     |
+| 1.1508        | 4.0   | 452  | 1.1055          | 0.7      |
+| 0.9972        | 5.0   | 565  | 0.8945          | 0.74     |
+| 0.7826        | 6.0   | 678  | 0.7784          | 0.77     |
+| 0.6802        | 7.0   | 791  | 0.7184          | 0.8      |
+| 0.4635        | 8.0   | 904  | 0.7725          | 0.76     |
+| 0.3746        | 9.0   | 1017 | 0.5875          | 0.84     |
+| 0.264         | 10.0  | 1130 | 0.7612          | 0.75     |
+| 0.1995        | 11.0  | 1243 | 0.6099          | 0.81     |
+| 0.135         | 12.0  | 1356 | 0.6306          | 0.81     |
+| 0.0974        | 13.0  | 1469 | 0.5947          | 0.83     |
+| 0.0563        | 14.0  | 1582 | 0.7485          | 0.8      |
+| 0.0443        | 15.0  | 1695 | 0.6977          | 0.79     |
+| 0.0565        | 16.0  | 1808 | 0.6331          | 0.83     |
+| 0.0295        | 17.0  | 1921 | 0.6538          | 0.82     |
+| 0.0178        | 18.0  | 2034 | 0.6977          | 0.82     |
+| 0.0191        | 19.0  | 2147 | 0.6453          | 0.83     |
+| 0.0147        | 20.0  | 2260 | 0.6623          | 0.82     |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d1c275152875fd2108c135f71334a5239b164f79b47f937d4d0a07b7217d1811
+oid sha256:7cd64385397fe00e287b20426b4b0b1136bc9186d1d4f26571d1fcc9179cdf88
 size 94771728