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README.md
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# pretoxtm-sentence-classifier
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This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) on
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It achieves the following results on the evaluation set:
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- Loss: 0.1181
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- Precision: 0.9788
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## Model description
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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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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# pretoxtm-sentence-classifier
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This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) on [javicorvi/pretoxtm-dataset](https://huggingface.co/datasets/javicorvi/pretoxtm-dataset).
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It achieves the following results on the evaluation set:
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- Loss: 0.1181
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- Precision: 0.9788
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## Model description
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Pretox™ Sentence Classifier is a model trained on preclinical toxicology literature, designed to detect sentences that contain treatment-related findings.
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## Training and evaluation data
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The model was trained on [javicorvi/pretoxtm-dataset](https://huggingface.co/datasets/javicorvi/pretoxtm-dataset).
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The dataset is divided in train, validation and test.
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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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