update model card README.md

README.md

@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5037
-- Accuracy: 0.8963
+- Loss: 0.6366
+- Accuracy: 0.8689
 
 ## Model description
 
@@ -35,28 +35,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2.722963804424848e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.7479        | 1.0   | 2440  | 0.6350          | 0.8715   |
-| 0.6629        | 2.0   | 4880  | 0.5891          | 0.8793   |
-| 0.6252        | 3.0   | 7320  | 0.5720          | 0.8829   |
-| 0.5904        | 4.0   | 9760  | 0.5426          | 0.8883   |
-| 0.5549        | 5.0   | 12200 | 0.5284          | 0.8918   |
-| 0.5456        | 6.0   | 14640 | 0.5212          | 0.8927   |
-| 0.5452        | 7.0   | 17080 | 0.5206          | 0.8933   |
-| 0.5196        | 8.0   | 19520 | 0.5094          | 0.8948   |
-| 0.5193        | 9.0   | 21960 | 0.5078          | 0.8950   |
-| 0.5193        | 10.0  | 24400 | 0.5037          | 0.8963   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.848         | 1.0   | 1220 | 0.6979          | 0.8570   |
+| 0.7439        | 2.0   | 2440 | 0.6510          | 0.8662   |
+| 0.7107        | 3.0   | 3660 | 0.6366          | 0.8689   |
 
 
 ### Framework versions