Text Classification
Transformers
Safetensors
code
cybersecurity
vulnerability
cpp
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@@ -86,8 +86,8 @@ The model was trained using LoRA applied to Q and V matrices.
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  | Hyperparameter | Value |
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  |-------------------------|---------------------------|
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  | Max Sequence Length | 600 |
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- | Batch Size | 48 |
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- | Number of Epochs | 20 |
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  | Learning Rate | 5e-4 |
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  | Weight Decay | 0.01 |
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  | Logging Steps | 100 |
@@ -107,7 +107,7 @@ The model was trained using LoRA applied to Q and V matrices.
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  ## Evaluation
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- ThreatDetect-C-Cpp reaches an accruacy of 82% on the eval set.
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  | Hyperparameter | Value |
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  |-------------------------|---------------------------|
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  | Max Sequence Length | 600 |
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+ | Batch Size | 32 |
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+ | Number of Epochs | 9 |
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  | Learning Rate | 5e-4 |
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  | Weight Decay | 0.01 |
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  | Logging Steps | 100 |
 
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  ## Evaluation
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+ ThreatDetect-C-Cpp reaches an accruacy of 86% on the eval set.
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