End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ehsanaghaei/SecureBERT](https://huggingface.co/ehsanaghaei/SecureBERT) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4523
-- Accuracy: 0.8727
+- Loss: 0.5237
+- Accuracy: 0.8909
 
 ## Model description
 
@@ -49,10 +49,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 110  | 1.1793          | 0.7682   |
-| No log        | 2.0   | 220  | 0.5507          | 0.8636   |
-| No log        | 3.0   | 330  | 0.4666          | 0.8659   |
-| No log        | 4.0   | 440  | 0.4523          | 0.8727   |
+| No log        | 1.0   | 110  | 0.4404          | 0.8773   |
+| No log        | 2.0   | 220  | 0.4733          | 0.8886   |
+| No log        | 3.0   | 330  | 0.5105          | 0.8864   |
+| No log        | 4.0   | 440  | 0.5237          | 0.8909   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:0df24b0bdf5e97770f5ef3fe9c7c228fbf632ffd6d3531b701b01133d3e46be2
 size 498640508