End of training

README.md

@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mangsense/codebert_java](https://huggingface.co/mangsense/codebert_java) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4424
-- Accuracy: 0.7976
-- F1: 0.1053
+- Loss: 0.5547
+- Accuracy: 0.7143
+- F1: 0.4286
 
 ## Model description
 
@@ -51,11 +51,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1   |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|
-| No log        | 1.0   | 50   | 0.4278          | 0.8353   | 0.3  |
-| No log        | 2.0   | 100  | 0.4415          | 0.8471   | 0.0  |
-| No log        | 3.0   | 150  | 0.5587          | 0.7882   | 0.25 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 66   | 0.4762          | 0.6988   | 0.3243 |
+| No log        | 2.0   | 132  | 0.3536          | 0.8313   | 0.125  |
+| No log        | 3.0   | 198  | 0.4353          | 0.8434   | 0.0    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f875b956a229bcca89f8ce39783a2de75a1bafb6597a7cde876b30b86699ec09
 size 498612824