End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.84
+      value: 0.8
 ---
 
 <!-- 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: 0.6844
-- Accuracy: 0.84
+- Loss: 0.6217
+- Accuracy: 0.8
 
 ## Model description
 
@@ -53,13 +53,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 8e-05
+- learning_rate: 3e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Use 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_warmup_ratio: 0.1
+- lr_scheduler_warmup_ratio: 0.3
 - num_epochs: 10
 - mixed_precision_training: Native AMP
 
@@ -67,16 +67,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.7739        | 1.0   | 113  | 1.6518          | 0.6      |
-| 1.0111        | 2.0   | 226  | 1.0880          | 0.67     |
-| 0.8544        | 3.0   | 339  | 0.9231          | 0.73     |
-| 0.5304        | 4.0   | 452  | 0.8544          | 0.74     |
-| 0.3505        | 5.0   | 565  | 0.5511          | 0.86     |
-| 0.1438        | 6.0   | 678  | 0.5540          | 0.83     |
-| 0.1004        | 7.0   | 791  | 0.6759          | 0.83     |
-| 0.0254        | 8.0   | 904  | 0.5752          | 0.85     |
-| 0.016         | 9.0   | 1017 | 0.6470          | 0.85     |
-| 0.0129        | 10.0  | 1130 | 0.6844          | 0.84     |
+| 2.2757        | 1.0   | 113  | 2.2336          | 0.26     |
+| 1.8835        | 2.0   | 226  | 1.8527          | 0.51     |
+| 1.5749        | 3.0   | 339  | 1.4378          | 0.67     |
+| 1.1165        | 4.0   | 452  | 1.0610          | 0.74     |
+| 0.9402        | 5.0   | 565  | 0.9178          | 0.79     |
+| 0.849         | 6.0   | 678  | 0.7739          | 0.78     |
+| 0.6661        | 7.0   | 791  | 0.7142          | 0.82     |
+| 0.4125        | 8.0   | 904  | 0.6851          | 0.82     |
+| 0.5223        | 9.0   | 1017 | 0.6216          | 0.83     |
+| 0.393         | 10.0  | 1130 | 0.6217          | 0.8      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:906918efca2c6b0fc44e1050bc0c3be8855e7efb58c73bdc4ef40f2bece8799b
+oid sha256:3f3f705f5091e37512e8f32e16ac381430da60c4c7b87db7d283fa2a161e0d4d
 size 94771728