End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.83
+      value: 0.835
 ---
 
 <!-- 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: 0.9736
-- Accuracy: 0.83
+- Loss: 0.9299
+- Accuracy: 0.835
 
 ## Model description
 
@@ -56,26 +56,38 @@ The following hyperparameters were used during training:
 - train_batch_size: 2
 - eval_batch_size: 2
 - seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
 - 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.7415        | 1.0   | 450  | 1.4915          | 0.61     |
-| 1.2771        | 2.0   | 900  | 1.2322          | 0.64     |
-| 0.3833        | 3.0   | 1350 | 0.7804          | 0.78     |
-| 0.4718        | 4.0   | 1800 | 0.5409          | 0.82     |
-| 0.0278        | 5.0   | 2250 | 0.7579          | 0.85     |
-| 0.0044        | 6.0   | 2700 | 0.7676          | 0.82     |
-| 0.002         | 7.0   | 3150 | 1.0458          | 0.81     |
-| 0.0018        | 8.0   | 3600 | 0.5839          | 0.88     |
-| 0.0013        | 9.0   | 4050 | 0.9576          | 0.83     |
-| 0.0015        | 10.0  | 4500 | 0.9736          | 0.83     |
+| 2.1474        | 1.0   | 100  | 2.1098          | 0.47     |
+| 1.5063        | 2.0   | 200  | 1.5695          | 0.575    |
+| 1.2171        | 3.0   | 300  | 1.1629          | 0.685    |
+| 0.9388        | 4.0   | 400  | 0.9617          | 0.7      |
+| 0.6208        | 5.0   | 500  | 0.9273          | 0.685    |
+| 0.6771        | 6.0   | 600  | 0.7753          | 0.785    |
+| 0.5799        | 7.0   | 700  | 0.8492          | 0.695    |
+| 0.1527        | 8.0   | 800  | 0.6581          | 0.805    |
+| 0.0586        | 9.0   | 900  | 0.6788          | 0.82     |
+| 0.0355        | 10.0  | 1000 | 0.7627          | 0.81     |
+| 0.0186        | 11.0  | 1100 | 0.7585          | 0.82     |
+| 0.0102        | 12.0  | 1200 | 0.8328          | 0.825    |
+| 0.0074        | 13.0  | 1300 | 0.8543          | 0.835    |
+| 0.0063        | 14.0  | 1400 | 0.8574          | 0.83     |
+| 0.0271        | 15.0  | 1500 | 0.8889          | 0.835    |
+| 0.0043        | 16.0  | 1600 | 0.9197          | 0.83     |
+| 0.0045        | 17.0  | 1700 | 0.9130          | 0.835    |
+| 0.0036        | 18.0  | 1800 | 0.9242          | 0.835    |
+| 0.0042        | 19.0  | 1900 | 0.9279          | 0.835    |
+| 0.0034        | 20.0  | 2000 | 0.9299          | 0.835    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:175ef44a9d1359df0caf068ff5724cfa92e09e92d2519178cfe0862557a11758
+oid sha256:7642e850199c6cb25e9a133c47dcf851b07ca8216e2aa53bd9ca12552d3124d0
 size 94771728