End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.83
+      value: 0.84
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ 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: 0.6105
-- Accuracy: 0.83
+- Loss: 0.7144
+- Accuracy: 0.84
 
 ## Model description
 
@@ -58,25 +58,35 @@ The following hyperparameters were used during training:
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
+- lr_scheduler_type: cosine_with_restarts
 - 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.9473        | 1.0   | 113  | 1.8371          | 0.55     |
-| 1.2375        | 2.0   | 226  | 1.2149          | 0.65     |
-| 0.981         | 3.0   | 339  | 1.0526          | 0.67     |
-| 0.6122        | 4.0   | 452  | 0.7788          | 0.75     |
-| 0.4439        | 5.0   | 565  | 0.6544          | 0.82     |
-| 0.3396        | 6.0   | 678  | 0.5881          | 0.83     |
-| 0.2359        | 7.0   | 791  | 0.6043          | 0.83     |
-| 0.0863        | 8.0   | 904  | 0.6309          | 0.85     |
-| 0.1426        | 9.0   | 1017 | 0.6004          | 0.83     |
-| 0.0708        | 10.0  | 1130 | 0.6105          | 0.83     |
+| 2.1579        | 1.0   | 113  | 2.0599          | 0.49     |
+| 1.414         | 2.0   | 226  | 1.4245          | 0.66     |
+| 1.1784        | 3.0   | 339  | 1.1034          | 0.65     |
+| 0.7209        | 4.0   | 452  | 0.7965          | 0.78     |
+| 0.5967        | 5.0   | 565  | 0.7356          | 0.78     |
+| 0.3644        | 6.0   | 678  | 0.5675          | 0.82     |
+| 0.2092        | 7.0   | 791  | 0.5001          | 0.86     |
+| 0.0647        | 8.0   | 904  | 0.6535          | 0.83     |
+| 0.1354        | 9.0   | 1017 | 0.4772          | 0.88     |
+| 0.0525        | 10.0  | 1130 | 0.6393          | 0.86     |
+| 0.0127        | 11.0  | 1243 | 0.6587          | 0.87     |
+| 0.0059        | 12.0  | 1356 | 0.6669          | 0.84     |
+| 0.0052        | 13.0  | 1469 | 0.6354          | 0.86     |
+| 0.0044        | 14.0  | 1582 | 0.7918          | 0.82     |
+| 0.0035        | 15.0  | 1695 | 0.7577          | 0.83     |
+| 0.0035        | 16.0  | 1808 | 0.7344          | 0.82     |
+| 0.0033        | 17.0  | 1921 | 0.7079          | 0.84     |
+| 0.0031        | 18.0  | 2034 | 0.7367          | 0.84     |
+| 0.0032        | 19.0  | 2147 | 0.7150          | 0.84     |
+| 0.0034        | 20.0  | 2260 | 0.7144          | 0.84     |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:763942e22e5326de61aaf4ae7da3285a8e7f49e7fadd5aea2615e5343757c4b5
+oid sha256:25c171ee37392c8423a77a6f613ccda13c61976bc03844108b36d3eeb36c32f3
 size 94771728