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GPT2-qa
vaibhav9/GPT2-qa
GPT2-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. 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
- gpt2
- Access
- Public
- Created
- Dec 20, 2022
- Updated
- Dec 27, 2022
- SHA
- 297bf55d
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. -->
GPT2-qa
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.2957
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: 2
- eval_batch_size: 2
- 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 |
|---|---|---|---|
| 4.1563 | 1.0 | 30926 | 4.6165 |
| 3.7545 | 2.0 | 61852 | 3.9101 |
| 3.3745 | 3.0 | 92778 | 4.2957 |
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
- gpt2
- License
- mit
- Created
- Dec 20, 2022
- Updated
- Dec 27, 2022