End of training

README.md

@@ -20,7 +20,7 @@ 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: 1.4952
+- Loss: 1.5182
 - Accuracy: 0.415
 - F1: 0.2434
 - Precision: 0.1722
@@ -57,9 +57,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 1.6433        | 1.0   | 63   | 1.4952          | 0.415    | 0.2434 | 0.1722    | 0.415  |
-| 1.5859        | 2.0   | 126  | 1.4870          | 0.415    | 0.2434 | 0.1722    | 0.415  |
-| 1.6087        | 2.96  | 186  | 1.4865          | 0.415    | 0.2434 | 0.1722    | 0.415  |
+| 1.727         | 1.0   | 63   | 1.5182          | 0.415    | 0.2434 | 0.1722    | 0.415  |
+| 1.5964        | 2.0   | 126  | 1.4962          | 0.415    | 0.2434 | 0.1722    | 0.415  |
+| 1.6195        | 2.96  | 186  | 1.4945          | 0.415    | 0.2434 | 0.1722    | 0.415  |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:498a9bbb7416ec20ad5c426675db598d54cd3c37a283011209d6a6823f765c38
 size 4747504