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: 1.6746
-- Accuracy: 0.7681
+- Loss: 0.4526
+- Accuracy: 0.9038
 
 ## Model description
 
@@ -41,15 +41,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 10
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 19   | 1.8589          | 0.7579   |
-| No log        | 2.0   | 38   | 1.7097          | 0.7644   |
-| No log        | 3.0   | 57   | 1.6746          | 0.7681   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.7258        | 1.0   | 1373  | 0.5835          | 0.8779   |
+| 0.5861        | 2.0   | 2746  | 0.5315          | 0.8882   |
+| 0.5478        | 3.0   | 4119  | 0.5053          | 0.8941   |
+| 0.5338        | 4.0   | 5492  | 0.4929          | 0.8974   |
+| 0.5045        | 5.0   | 6865  | 0.4836          | 0.8995   |
+| 0.4958        | 6.0   | 8238  | 0.4662          | 0.9018   |
+| 0.4821        | 7.0   | 9611  | 0.4561          | 0.9035   |
+| 0.469         | 8.0   | 10984 | 0.4625          | 0.9034   |
+| 0.4718        | 9.0   | 12357 | 0.4522          | 0.9048   |
+| 0.4642        | 10.0  | 13730 | 0.4526          | 0.9038   |
 
 
 ### Framework versions