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README.md
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This model is a fine-tuned version of `h2oai/h2o-danube3-500m-chat`, specifically adapted for analyzing and interpreting textual reports from the Conners' Continuous Performance Test II (CPT-II). It has been trained using Low-Rank Adaptation (LoRA) on a dataset of CPT-II results to identify patterns relevant to the assessment of ADHD.
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The model takes a textual summary of a patient's CPT-II scores as input and can provide analysis, explanations of the metrics, and potential interpretations.
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## Intended Uses & Limitations
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This model is a fine-tuned version of `h2oai/h2o-danube3-500m-chat`, specifically adapted for analyzing and interpreting textual reports from the Conners' Continuous Performance Test II (CPT-II). It has been trained using Low-Rank Adaptation (LoRA) on a dataset of CPT-II results to identify patterns relevant to the assessment of ADHD.
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The model takes a textual summary of a patient's CPT-II scores from [ADHD Diagnosis Data](https://www.kaggle.com/datasets/arashnic/adhd-diagnosis-data) as input and can provide analysis, explanations of the metrics, and potential interpretations.
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## Intended Uses & Limitations
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