End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.72
+      value: 0.77
 ---
 
 <!-- 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: 1.3187
-- Accuracy: 0.72
+- Loss: 1.7182
+- Accuracy: 0.77
 
 ## Model description
 
@@ -53,32 +53,28 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 12
+- eval_batch_size: 12
 - seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 32
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 24
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 11
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 20
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch   | Step | Validation Loss | Accuracy |
 |:-------------:|:-------:|:----:|:---------------:|:--------:|
-| 2.2889        | 0.9912  | 28   | 2.2613          | 0.38     |
-| 2.1553        | 1.9823  | 56   | 2.0953          | 0.56     |
-| 1.9626        | 2.9735  | 84   | 1.8820          | 0.54     |
-| 1.7839        | 4.0     | 113  | 1.7308          | 0.61     |
-| 1.6749        | 4.9912  | 141  | 1.5920          | 0.64     |
-| 1.5595        | 5.9823  | 169  | 1.5004          | 0.68     |
-| 1.5266        | 6.9735  | 197  | 1.4368          | 0.68     |
-| 1.4459        | 8.0     | 226  | 1.3776          | 0.71     |
-| 1.4152        | 8.9912  | 254  | 1.3481          | 0.71     |
-| 1.3766        | 9.9823  | 282  | 1.3242          | 0.72     |
-| 1.3682        | 10.9027 | 308  | 1.3187          | 0.72     |
+| 0.0118        | 2.6667  | 100  | 1.4117          | 0.75     |
+| 0.0083        | 5.3333  | 200  | 1.4954          | 0.74     |
+| 0.0057        | 8.0     | 300  | 1.6342          | 0.75     |
+| 0.0047        | 10.6667 | 400  | 1.6888          | 0.77     |
+| 0.0031        | 13.3333 | 500  | 1.6774          | 0.77     |
+| 0.0028        | 16.0    | 600  | 1.7023          | 0.77     |
+| 0.0033        | 18.6667 | 700  | 1.7182          | 0.77     |
 
 
 ### Framework versions

runs/Apr24_23-06-31_98addcb0e85b/events.out.tfevents.1713999993.98addcb0e85b.3842.6

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 8576
+oid sha256:d1ad3edcf4a1b12744ae014750023ffa8aad691786c7e18631d2114747f6a4a8
+size 9998