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# manipulative-score-model
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This model is a fine-tuned version of [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) on an
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It achieves the following results on the evaluation set:
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- Loss: 0.1483
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- Precision: 0.7768
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- F1 Macro: 0.7468
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- Accuracy: 0.7962
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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# manipulative-score-model
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This model is a fine-tuned version of [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) on an UNLP 2025 Shared Task dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1483
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- Precision: 0.7768
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- F1 Macro: 0.7468
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- Accuracy: 0.7962
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## Model description
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This model measure how likely the given text is of manipulative nature.
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## Intended uses & limitations
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Data filtering and evaluation of pretraining data at scale
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## Training and evaluation data
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Take a look into https://github.com/lapa-llm/lapa-llm/blob/main/pretraining/quality-classifiers/manipulative_detector.py
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## Training procedure
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