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fewshot-qa-001-20230615-002
intanm/fewshot-qa-001-20230615-002
fewshot-qa-001-20230615-002 is a question answering model from intanm. 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
- Jun 15, 2023
- Updated
- Jun 15, 2023
- SHA
- 4838e1d1
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. -->
fewshot-qa-001-20230615-002
This model is a fine-tuned version of intanm/mbert-squadv2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.7782
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5701 | 2.4 | 500 | 3.1943 |
| 1.178 | 4.81 | 1000 | 3.7416 |
| 0.5312 | 7.21 | 1500 | 4.5243 |
| 0.2682 | 9.62 | 2000 | 4.7782 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 15, 2023
- Updated
- Jun 15, 2023