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extractive_reader_nq
ToluClassics/extractive_reader_nq
extractive_reader_nq is a question answering model from ToluClassics. 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. --
All-time downloads
708
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Repo size
4.7 GB
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2
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 12, 2023
- Updated
- Mar 13, 2023
- SHA
- db7512e7
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. -->
extractive_reader_nq
This model is a fine-tuned version of ToluClassics/extractive_reader_nq on the squad_v2 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: 5e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Mar 12, 2023
- Updated
- Mar 13, 2023