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Safetensors
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  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -19,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Vulnerability-Detection/codet5_merged](https://huggingface.co/Vulnerability-Detection/codet5_merged) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5425
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- - Accuracy: 0.7416
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- - Precision: 0.1241
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- - Recall: 0.7838
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- - F1 Score: 0.2143
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- - F2 Score: 0.3799
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- - Gmean: 0.7614
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  ## Model description
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@@ -50,18 +50,15 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 6
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score | F2 Score | Gmean |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|:--------:|:------:|
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- | 0.6133 | 1.0 | 197 | 0.6332 | 0.6898 | 0.1040 | 0.7748 | 0.1834 | 0.3383 | 0.7289 |
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- | 0.5995 | 2.0 | 394 | 0.4958 | 0.7594 | 0.1267 | 0.7387 | 0.2164 | 0.3758 | 0.7495 |
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- | 0.5626 | 3.0 | 591 | 0.5477 | 0.7473 | 0.1255 | 0.7748 | 0.2161 | 0.3809 | 0.7602 |
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- | 0.5798 | 4.0 | 788 | 0.5719 | 0.7307 | 0.1195 | 0.7838 | 0.2074 | 0.3712 | 0.7555 |
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- | 0.54 | 5.0 | 985 | 0.5282 | 0.7473 | 0.1255 | 0.7748 | 0.2161 | 0.3809 | 0.7602 |
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- | 0.514 | 6.0 | 1182 | 0.5425 | 0.7416 | 0.1241 | 0.7838 | 0.2143 | 0.3799 | 0.7614 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Vulnerability-Detection/codet5_merged](https://huggingface.co/Vulnerability-Detection/codet5_merged) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5477
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+ - Accuracy: 0.7452
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+ - Precision: 0.1235
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+ - Recall: 0.7658
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+ - F1 Score: 0.2128
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+ - F2 Score: 0.3754
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+ - Gmean: 0.7549
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  ## Model description
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score | F2 Score | Gmean |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|:--------:|:------:|
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+ | 0.4724 | 1.0 | 197 | 0.5542 | 0.7347 | 0.1212 | 0.7838 | 0.2099 | 0.3744 | 0.7577 |
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+ | 0.4822 | 2.0 | 394 | 0.5152 | 0.7566 | 0.1265 | 0.7477 | 0.2164 | 0.3773 | 0.7524 |
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+ | 0.4859 | 3.0 | 591 | 0.5477 | 0.7452 | 0.1235 | 0.7658 | 0.2128 | 0.3754 | 0.7549 |
 
 
 
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  ### Framework versions
adapter_model.safetensors CHANGED
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  size 1201112
 
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