| # Fine-Tuned GPT-2 Model for Medical Question Answering | |
| ## Model Description | |
| This model is a fine-tuned version of GPT-2 on the MedQuAD dataset. The primary objective of this model is to generate accurate and informative responses to medical queries based on the training data. | |
| ## Training Data | |
| The model was trained on the MedQuAD dataset, which consists of medical questions and answers. The dataset covers a wide range of medical topics and is intended to provide reliable and evidence-based information. | |
| ## Training Procedure | |
| - **Base Model:** GPT-2 | |
| - **Dataset:** MedQuAD | |
| - **Training Framework:** Hugging Face Transformers | |
| - **Training Arguments:** | |
| - `output_dir="./results"` | |
| - `num_train_epochs=1` | |
| - `per_device_train_batch_size=4` | |
| - `save_steps=10,000` | |
| - `save_total_limit=2` | |
| - `logging_dir="./logs"` | |
| ## Intended Use | |
| This model is intended for generating responses to medical questions. It can be used in applications such as telemedicine, healthcare chatbots, and medical information retrieval systems. | |
| ## Limitations | |
| - The model's responses are based on the training data and may not always reflect the most up-to-date medical knowledge. | |
| - Users should always consult a medical professional for accurate and personalized medical advice. | |
| ## Evaluation | |
| The model's performance was evaluated based on the coherence, accuracy, and relevance of the generated responses. Additional metrics and evaluations can be added as needed. | |
| ## Licensing | |
| The model is released under the Apache 2.0 license. | |
| ## Contact Information | |
| For questions or comments about the model, please contact the developer. | |