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multichoice-question-generator
Gachomba/multichoice-question-generator
multichoice-question-generator is a machine learning model from Gachomba. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.1787
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Jul 27, 2024
- Updated
- Jul 29, 2024
- SHA
- 23e9ca86
Base models
Model card
From the Hugging Face model README
multichoice-question-generator
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1787
Model description
More information needed
Intended uses & limitations
This is an early version of a model meant to generate multichoice questions from text
Link to sample usage guide
https://github.com/Gach-omba/Multichoice-question-generation/blob/main/sample_usage.ipynb
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2218 | 1.0 | 1000 | 0.1910 |
| 0.1913 | 2.0 | 2000 | 0.1811 |
| 0.1727 | 3.0 | 3000 | 0.1787 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Tokenizers 0.19.1
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Jul 27, 2024
- Updated
- Jul 29, 2024