Instructions to use epfl-ml4ed/MCQBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use epfl-ml4ed/MCQBert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("epfl-ml4ed/MCQBert", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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## Training Details
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The model was trained for 20k steps with a batch size of 16. The optimizer used is AdamW with learning rate = 1.75e-5, \\(\beta_{1} = 0.9\\) and \\(\beta_{2} = 0.999\\), and a weight decay of 0.01
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## Citation
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## Training Details
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The model was trained on questions from a real-world ITS, Lernnavi, for 20k steps with a batch size of 16. The optimizer used is AdamW with learning rate = 1.75e-5, \\(\beta_{1} = 0.9\\) and \\(\beta_{2} = 0.999\\), and a weight decay of 0.01
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## Citation
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