feat: set n classification heads to 8

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai-gpt](https://huggingface.co/openai-gpt) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6326
+- Loss: 0.3986
 
 ## Model description
 
@@ -35,7 +35,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0006786313884221838
+- learning_rate: 5.38312346311055e-05
 - train_batch_size: 64
 - eval_batch_size: 64
 - seed: 42
@@ -47,10 +47,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.932         | 1.0   | 12   | 1.6346          |
-| 1.65          | 2.0   | 24   | 1.6288          |
-| 1.6441        | 3.0   | 36   | 1.6408          |
-| 1.6397        | 4.0   | 48   | 1.6326          |
+| 1.5016        | 1.0   | 12   | 1.1160          |
+| 0.8736        | 2.0   | 24   | 0.7228          |
+| 0.4681        | 3.0   | 36   | 0.4849          |
+| 0.2851        | 4.0   | 48   | 0.4339          |
+| 0.1733        | 5.0   | 60   | 0.3113          |
+| 0.1108        | 6.0   | 72   | 0.3303          |
+| 0.0841        | 7.0   | 84   | 0.3986          |
 
 
 ### Framework versions