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README.md

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+# 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.
+