update model card README.md

README.md

@@ -16,10 +16,10 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0401
-- Accuracy: 0.0151
-- F1: 0.0151
-- Bleu4: 0.0545
+- Loss: 0.0002
+- Accuracy: 0.0215
+- F1: 0.0215
+- Bleu4: 0.1640
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Bleu4  |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|
-| 2.7267        | 1.0   | 1373 | 1.5727          | 0.0161   | 0.0161 | 0.0423 |
-| 1.4983        | 2.0   | 2746 | 1.2421          | 0.0170   | 0.0170 | 0.0674 |
-| 1.2858        | 3.0   | 4119 | 1.1225          | 0.0154   | 0.0154 | 0.0434 |
-| 1.2268        | 4.0   | 5492 | 1.0612          | 0.0153   | 0.0153 | 0.0646 |
-| 1.1658        | 5.0   | 6865 | 1.0401          | 0.0151   | 0.0151 | 0.0545 |
+| 0.1044        | 1.0   | 1373 | 0.0185          | 0.0146   | 0.0146 | 0.0889 |
+| 0.0129        | 2.0   | 2746 | 0.0070          | 0.0243   | 0.0243 | 0.1871 |
+| 0.0031        | 3.0   | 4119 | 0.0003          | 0.0215   | 0.0215 | 0.1640 |
+| 0.002         | 4.0   | 5492 | 0.0003          | 0.0215   | 0.0215 | 0.1640 |
+| 0.0011        | 5.0   | 6865 | 0.0002          | 0.0215   | 0.0215 | 0.1640 |
 
 
 ### Framework versions