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roberta-base-filtered-cuad
alex-apostolo/roberta-base-filtered-cuad
roberta-base-filtered-cuad is a question answering model from alex-apostolo. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Aug 4, 2022
- Updated
- Aug 5, 2022
- SHA
- 057ef0d4
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. -->
roberta-base-filtered-cuad
This model is a fine-tuned version of roberta-base on the cuad dataset. It achieves the following results on the evaluation set:
- Loss: 0.0396
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0502 | 1.0 | 8442 | 0.0467 |
| 0.0397 | 2.0 | 16884 | 0.0436 |
| 0.032 | 3.0 | 25326 | 0.0396 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Question Answering
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Aug 4, 2022
- Updated
- Aug 5, 2022