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README.md
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- **Model type:** Language model
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- **Language(s) (NLP):** English
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- **License:** Apache 2.0
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## Overview
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823/823 ━━━━━━━━━━━━━━━━━━━━ 99s 120ms/step - AUPR: 0.9979 - f1_score: 0.5782 - fn: 64.0947 - fp: 8.2500 - loss: 0.0236 - precision: 0.9987 - recall: 0.9889 - val_AUPR: 0.9970 - val_f1_score: 0.5775 - val_fn: 34.0000 - val_fp: 4.0000 - val_loss: 0.0298 - val_precision: 0.9985 - val_recall: 0.9873 - learning_rate: 7.0911e-04
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```
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#### Training Data
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1. https://www.kaggle.com/datasets/gambleryu/biggest-sql-injection-dataset/data
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- **Model type:** Language model
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- **Language(s) (NLP):** English
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- **License:** Apache 2.0
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- **Playground:** [SafeSQL-v1-Demo](https://huggingface.co/spaces/deathsaber93/SafeSQL-v1-Demo)
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## Overview
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823/823 ━━━━━━━━━━━━━━━━━━━━ 99s 120ms/step - AUPR: 0.9979 - f1_score: 0.5782 - fn: 64.0947 - fp: 8.2500 - loss: 0.0236 - precision: 0.9987 - recall: 0.9889 - val_AUPR: 0.9970 - val_f1_score: 0.5775 - val_fn: 34.0000 - val_fp: 4.0000 - val_loss: 0.0298 - val_precision: 0.9985 - val_recall: 0.9873 - learning_rate: 7.0911e-04
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```
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#### Benchmark Results
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Total SQLs: 30919
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Total Negatives: 11382
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Total Positives: 19537
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Total hits: 30844/30919 with accuracy of 99.76%.
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False Negatives: 69(0.61%)
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False Positives: 6(0.03%)
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#### Training Data
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1. https://www.kaggle.com/datasets/gambleryu/biggest-sql-injection-dataset/data
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