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squeezebert-uncased-finetuned-squad
SupriyaArun/squeezebert-uncased-finetuned-squad
squeezebert-uncased-finetuned-squad is a question answering model from SupriyaArun. 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
- squeezebert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 11, 2021
- SHA
- 5e461730
Try a prompt
Datasets
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. -->
squeezebert-uncased-finetuned-squad
This model is a fine-tuned version of squeezebert/squeezebert-uncased on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.0808
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 |
|---|---|---|---|
| 1.2624 | 1.0 | 5533 | 1.1648 |
| 1.0699 | 2.0 | 11066 | 1.0920 |
| 0.9463 | 3.0 | 16599 | 1.0808 |
Framework versions
- Transformers 4.13.0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
- Task
- Question Answering
- Library
- transformers
- Type
- squeezebert
- Created
- Mar 2, 2022
- Updated
- Dec 11, 2021