meta-llama-3-8b-instruct_full-tune_mimic-full

Overview

meta-llama-3-8b-instruct_full-tune_mimic-full is a fine-tuned language model designed to generate clinical impressions from chest x-ray findings using the MIMIC dataset. The model is fine-tuned with a batch size of 8 for 1 epoch.

Model Details

• Model Name: meta-llama-3-8b-instruct_full-tune_mimic-full
• Base Model: meta-llama-3-8b-instruct
• Fine-Tuning Dataset: MIMIC
• Batch Size: 8
• Epochs: 1

Purpose

The purpose of this model is to assist healthcare professionals by automatically generating clinical impressions based on chest x-ray findings, thereby enhancing the efficiency and accuracy of clinical decision-making.

Usage

Input

• The input to the model should be formatted as a text description of chest x-ray findings.

Output

• The model generates a clinical impression based on the provided findings.

Performance

The performance of the model is dependent on the quality and format of the input data. Properly formatted and detailed findings will yield the most accurate impressions.

License

This model is provided under the MIT License

Acknowledgments

This model was developed using the MIMIC dataset, a freely accessible critical care database developed by the MIT Lab for Computational Physiology.