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mini5-qa
vaibhav9/mini5-qa
mini5-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
- Feb 7, 2023
- Updated
- Feb 7, 2023
- SHA
- 7100a008
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. -->
mini5-qa
This model is a fine-tuned version of mrm8488/bert-mini-5-finetuned-squadv2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5918
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 |
|---|---|---|---|
| No log | 1.0 | 52 | 0.5957 |
| No log | 2.0 | 104 | 0.5762 |
| No log | 3.0 | 156 | 0.5918 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Feb 7, 2023
- Updated
- Feb 7, 2023