Model save

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5639
-- Accuracy: 0.6744
+- Loss: 0.5346
+- Accuracy: 0.7093
 
 ## Model description
 
@@ -42,13 +42,15 @@ 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: 1.0
+- num_epochs: 3.0
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6214        | 1.0   | 997  | 0.5639          | 0.6744   |
+| 0.6157        | 1.0   | 997  | 0.5484          | 0.6883   |
+| 0.5023        | 2.0   | 1994 | 0.5381          | 0.7061   |
+| 0.4403        | 3.0   | 2991 | 0.5346          | 0.7093   |
 
 
 ### Framework versions