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bert-small-finetuned-cuad
muhtasham/bert-small-finetuned-cuad
bert-small-finetuned-cuad is a question answering model from muhtasham. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 11, 2022
- Updated
- Aug 16, 2022
- SHA
- 631beb6a
Try a prompt
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bert-small-finetuned-cuad-full
This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the portion of cuad dataset.
Note
The model was not trained on the whole dataset but, the first 10% of train + the first 10% of test.
raw_datasets_train, raw_datasets_test = load_dataset("cuad", split=['train[:10%]', 'test[:10%]'])
datasets = DatasetDict({'train': raw_datasets_train, 'validation': raw_datasets_test})
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Aug 11, 2022
- Updated
- Aug 16, 2022