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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 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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- More information needed
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- ## Intended uses & limitations
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-
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- More information needed
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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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  # 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: