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bert-base-uncased-squad2-covid-qa-deepset
armageddon/bert-base-uncased-squad2-covid-qa-deepset
bert-base-uncased-squad2-covid-qa-deepset is a question answering model from armageddon. Use it when the input is a question plus a passage. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Feb 28, 2022
- SHA
- 1cc87527
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. -->
covid_qa_analysis_bert_base_uncased_squad2
This model is a fine-tuned version of twmkn9/bert-base-uncased-squad2 on the covid_qa_deepset dataset.
Model description
More information needed
Intended uses & limitations
More information needed
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
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Framework versions
- Transformers 4.16.2
- Pytorch 1.9.0+cu102
- Datasets 1.18.3
- Tokenizers 0.11.6
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Mar 2, 2022
- Updated
- Feb 28, 2022