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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: 3
  • 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)

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Dataset used to train ambrosfitz/history-qa-t5-base