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-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1076
-- Accuracy: 0.7284
-- F1: 0.7284
-- Bleu4: 0.7262
+- Loss: 0.5977
+- Accuracy: 0.8793
+- F1: 0.8793
+- Bleu4: 0.8016
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Bleu4  |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|
-| No log        | 1.0   | 1    | 2.4321          | 0.7137   | 0.7137 | 0.5207 |
-| No log        | 2.0   | 2    | 2.2808          | 0.7186   | 0.7186 | 0.6834 |
-| No log        | 3.0   | 3    | 2.1813          | 0.7273   | 0.7273 | 0.6974 |
-| No log        | 4.0   | 4    | 2.2816          | 0.7316   | 0.7316 | 0.6591 |
-| No log        | 5.0   | 5    | 2.1076          | 0.7284   | 0.7284 | 0.7262 |
+| 0.8373        | 1.0   | 1373 | 0.6817          | 0.8587   | 0.8587 | 0.8615 |
+| 0.6984        | 2.0   | 2746 | 0.6406          | 0.8685   | 0.8685 | 0.9062 |
+| 0.6587        | 3.0   | 4119 | 0.6172          | 0.8748   | 0.8748 | 0.9067 |
+| 0.6514        | 4.0   | 5492 | 0.6017          | 0.8783   | 0.8783 | 0.9198 |
+| 0.6263        | 5.0   | 6865 | 0.5977          | 0.8793   | 0.8793 | 0.8016 |
 
 
 ### Framework versions