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covid_qa_mpnet
shaina/covid_qa_mpnet
covid_qa_mpnet is a question answering model from shaina. Use it when the input is a question plus a passage. It is set up for transformers.
This model is a fine-tuned version of microsoft/mpnet-base on our COVID-19 dataset. It achieves the following results on the evaluation set: - Loss: 0.1352
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- mpnet
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Feb 2, 2022
- SHA
- ddb1b726
Try a prompt
Model card
From the Hugging Face model README
covid_qa_mpnet
This model is a fine-tuned version of microsoft/mpnet-base on our COVID-19 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1352
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: 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 |
|---|---|---|---|
| 0.2477 | 1.0 | 3895 | 0.1869 |
| 0.1838 | 2.0 | 7790 | 0.1352 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3
- Task
- Question Answering
- Library
- transformers
- Type
- mpnet
- Created
- Mar 2, 2022
- Updated
- Feb 2, 2022