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SpanBERT-qa
vaibhav9/SpanBERT-qa
SpanBERT-qa is a question answering model from vaibhav9. 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. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Dec 30, 2022
- Updated
- Dec 30, 2022
- SHA
- d31cfb30
Try a prompt
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. -->
SpanBERT-qa
This model is a fine-tuned version of SpanBERT/spanbert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4649
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.476 | 1.0 | 3854 | 1.5405 |
| 1.1605 | 2.0 | 7708 | 1.4162 |
| 0.9986 | 3.0 | 11562 | 1.4649 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.11.0+cu102
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Dec 30, 2022
- Updated
- Dec 30, 2022