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benchmark_results.md
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# Hyperparameter Search Results for `BRlkl/BingoGuard-bert-large-pt-optimized`
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This model was selected through a randomized search over a hyperparameter space.
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The best performing model was chosen based on the highest average F1 score across multiple benchmark datasets.
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## Best Hyperparameters
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```
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learning_rate: 5e-05
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per_device_train_batch_size: 32
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num_train_epochs: 8
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weight_decay: 0.05
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lr_scheduler_type: cosine
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```
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## Final Benchmark Results (Full Dataset Training)
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| dataset | accuracy | f1_score | recall | precision |
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|:----------------------------------|-----------:|-----------:|---------:|------------:|
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| BRlkl/BingoGuard-train-test-pt | 0.907895 | 0.951724 | 0.907895 | 1 |
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| BRlkl/openai-moderation-eval-pt | 0.684524 | 0.646195 | 0.927203 | 0.495902 |
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| BRlkl/WildGuardTest-pt | 0.845792 | 0.81856 | 0.78382 | 0.856522 |
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| BRlkl/XSTest-pt | 0.851111 | 0.839329 | 0.875 | 0.806452 |
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| BRlkl/toxic-chat-pt (40% holdout) | 0.95821 | 0.763231 | 0.901316 | 0.661836 |
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