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README.md
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# nathanReitinger/mlcb
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This model is a fine-tuned version of [dbernsohn/roberta-javascript](https://huggingface.co/dbernsohn/roberta-javascript) on
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0463
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- Validation Loss: 0.0930
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- Train Accuracy: 0.9708
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- Epoch: 4
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## Model description
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More information needed
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## Intended uses & limitations
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- TensorFlow 2.11.0
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- Datasets 2.13.2
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- Tokenizers 0.13.3
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# nathanReitinger/mlcb
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This model is a fine-tuned version of [dbernsohn/roberta-javascript](https://huggingface.co/dbernsohn/roberta-javascript) on the [mlcb dataset](https://huggingface.co/datasets/nathanReitinger/mlcb).
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0463
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- Validation Loss: 0.0930
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- Train Accuracy: 0.9708
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- Epoch: 4
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## Intended uses & limitations
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The model can be used to identify whether a JavaScript program is engaging in canvas fingerprinting.
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## Training and evaluation data
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### Training hyperparameters
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The following hyperparameters were used during training:
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- TensorFlow 2.11.0
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- Datasets 2.13.2
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- Tokenizers 0.13.3
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# Citation
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@inproceedings{reitinger2021ml,
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title={ML-CB: Machine Learning Canvas Block.},
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author={Nathan Reitinger and Michelle L Mazurek},
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journal={Proc.\ PETS},
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volume={2021},
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number={3},
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pages={453--473},
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year={2021}
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}
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- [OSF] (https://osf.io/shbe7/)
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- [GitHub] (https://github.com/SP2-MC2/ML-CB)
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- [Data] (https://dataverse.harvard.edu/dataverse/ml-cb)
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