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khanhtran0111
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codebert-java-vul4j-ft

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
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End of training

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  1. README.md +8 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mangsense/codebert_java](https://huggingface.co/mangsense/codebert_java) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4424
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- - Accuracy: 0.7976
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- - F1: 0.1053
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|
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- | No log | 1.0 | 50 | 0.4278 | 0.8353 | 0.3 |
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- | No log | 2.0 | 100 | 0.4415 | 0.8471 | 0.0 |
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- | No log | 3.0 | 150 | 0.5587 | 0.7882 | 0.25 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [mangsense/codebert_java](https://huggingface.co/mangsense/codebert_java) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5547
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+ - Accuracy: 0.7143
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+ - F1: 0.4286
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 66 | 0.4762 | 0.6988 | 0.3243 |
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+ | No log | 2.0 | 132 | 0.3536 | 0.8313 | 0.125 |
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+ | No log | 3.0 | 198 | 0.4353 | 0.8434 | 0.0 |
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  ### Framework versions
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