update model card README.md

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co/facebook/hubert-large-ls960-ft) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8531
-- Accuracy: 0.78
+- Loss: nan
+- Accuracy: 0.86
 
 ## Model description
 
@@ -38,12 +38,12 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 0.0001
 - train_batch_size: 2
 - eval_batch_size: 2
 - seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
@@ -53,26 +53,26 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.279         | 1.0   | 112  | 2.2924          | 0.08     |
-| 2.0905        | 2.0   | 225  | 2.0931          | 0.31     |
-| 1.7503        | 3.0   | 337  | 1.6857          | 0.46     |
-| 1.7021        | 4.0   | 450  | 1.5041          | 0.54     |
-| 1.3693        | 5.0   | 562  | 1.4453          | 0.53     |
-| 1.1515        | 6.0   | 675  | 1.2720          | 0.62     |
-| 1.0195        | 7.0   | 787  | 1.2036          | 0.61     |
-| 0.8957        | 8.0   | 900  | 1.1265          | 0.62     |
-| 0.9654        | 9.0   | 1012 | 1.0117          | 0.68     |
-| 1.0166        | 10.0  | 1125 | 0.9691          | 0.68     |
-| 0.8868        | 11.0  | 1237 | 1.0249          | 0.69     |
-| 0.8822        | 12.0  | 1350 | 0.9859          | 0.69     |
-| 0.808         | 13.0  | 1462 | 0.8248          | 0.75     |
-| 0.7107        | 14.0  | 1575 | 0.9660          | 0.71     |
-| 0.7964        | 15.0  | 1687 | 0.8939          | 0.73     |
-| 0.69          | 16.0  | 1800 | 0.8490          | 0.75     |
-| 0.4321        | 17.0  | 1912 | 0.8282          | 0.77     |
-| 0.4942        | 18.0  | 2025 | 0.8220          | 0.78     |
-| 0.4275        | 19.0  | 2137 | 0.8435          | 0.79     |
-| 0.4661        | 19.91 | 2240 | 0.8531          | 0.78     |
+| 2.2625        | 1.0   | 56   | 2.2399          | 0.23     |
+| 1.7887        | 1.99  | 112  | 1.7278          | 0.4      |
+| 1.4728        | 2.99  | 168  | 1.4387          | 0.48     |
+| 1.1536        | 4.0   | 225  | 1.3178          | 0.54     |
+| 1.0758        | 5.0   | 281  | 1.1903          | 0.6      |
+| 0.9742        | 5.99  | 337  | 0.8416          | 0.72     |
+| 0.8285        | 6.99  | 393  | 0.5875          | 0.78     |
+| 0.7953        | 8.0   | 450  | 0.7786          | 0.75     |
+| 0.6224        | 9.0   | 506  | 0.6753          | 0.8      |
+| 0.3806        | 9.99  | 562  | 0.5826          | 0.84     |
+| 0.3121        | 10.99 | 618  | 0.7312          | 0.78     |
+| 0.1729        | 12.0  | 675  | 0.6526          | 0.85     |
+| 0.2958        | 13.0  | 731  | 0.7831          | 0.83     |
+| 0.1496        | 13.99 | 787  | 0.8518          | 0.79     |
+| 0.0659        | 14.99 | 843  | 0.8194          | 0.82     |
+| 0.1208        | 16.0  | 900  | 0.8555          | 0.82     |
+| 0.147         | 17.0  | 956  | 0.6768          | 0.86     |
+| 0.0284        | 17.99 | 1012 | 0.7065          | 0.86     |
+| 0.0295        | 18.99 | 1068 | 0.6942          | 0.87     |
+| 0.0524        | 19.91 | 1120 | nan             | 0.86     |
 
 
 ### Framework versions