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bert-small-finetuned-cuad-full
muhtasham/bert-small-finetuned-cuad-full
bert-small-finetuned-cuad-full is a question answering model from muhtasham. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 15, 2022
- Updated
- Aug 17, 2022
- SHA
- 91c43342
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. -->
bert-small-finetuned-cuad-full
This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the cuad dataset. It achieves the following results on the evaluation set:
- Loss: 0.0274
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 |
|---|---|---|---|
| 0.0323 | 1.0 | 47569 | 0.0280 |
| 0.0314 | 2.0 | 95138 | 0.0265 |
| 0.0276 | 3.0 | 142707 | 0.0274 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Aug 15, 2022
- Updated
- Aug 17, 2022