update model card README.md

README.md

@@ -3,6 +3,7 @@ tags:
 - generated_from_trainer
 metrics:
 - accuracy
+- f1
 model-index:
 - name: CommitPredictor
   results: []
@@ -15,8 +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: 0.5999
-- Accuracy: 0.8784
+- Loss: 2.1076
+- Accuracy: 0.7284
+- F1: 0.7284
+- Bleu4: 0.7262
 
 ## Model description
 
@@ -45,13 +48,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.8473        | 1.0   | 1373 | 0.6892          | 0.8579   |
-| 0.7042        | 2.0   | 2746 | 0.6433          | 0.8665   |
-| 0.6607        | 3.0   | 4119 | 0.6184          | 0.8745   |
-| 0.6539        | 4.0   | 5492 | 0.6051          | 0.8775   |
-| 0.6286        | 5.0   | 6865 | 0.5999          | 0.8784   |
+| 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 |
 
 
 ### Framework versions