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distil-electra-qa
vaibhav9/distil-electra-qa
distil-electra-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
- electra
- Access
- Public
- Created
- Jan 7, 2023
- Updated
- Jan 7, 2023
- SHA
- a594bcca
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. -->
distil-electra-qa
This model is a fine-tuned version of lsanochkin/distilelectra-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6058
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 |
|---|---|---|---|
| 2.0323 | 1.0 | 1883 | 1.7828 |
| 1.6154 | 2.0 | 3766 | 1.6530 |
| 1.43 | 3.0 | 5649 | 1.6058 |
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
- electra
- Created
- Jan 7, 2023
- Updated
- Jan 7, 2023