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pert-qa
wskhanh/pert-qa
pert-qa is a question answering model from wskhanh. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- cc-by-nc-sa-4.0
- Model type
- bert
- Access
- Public
- Created
- Mar 25, 2023
- Updated
- Mar 26, 2023
- SHA
- 0903c072
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. -->
pert-qa
This model is a fine-tuned version of hfl/chinese-pert-large on the cmrc2018 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6557
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0626 | 1.0 | 1200 | 0.6454 |
| 0.5677 | 2.0 | 2400 | 0.6557 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.12.1
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- cc-by-nc-sa-4.0
- Created
- Mar 25, 2023
- Updated
- Mar 26, 2023