T5-base fine-tuned on History Q&A Generation
This model is a fine-tuned version of t5-base on a history question-answer dataset.
Model description
This model is designed to generate multiple-choice questions, answers, and explanations based on historical text inputs.
Intended uses & limitations
This model is intended for educational purposes and to assist in creating history-related quiz materials.
Training and evaluation data
The model was trained on a dataset derived from "ambrosfitz/multiple-choice-just-history".
Training procedure
The model was trained using the following hyperparameters:
- Number of epochs: 2
- Batch size: 4
- Learning rate: (Add your learning rate here)
- (Add any other relevant hyperparameters)
Results
(Add your evaluation results here, e.g., test set performance)