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distilbert-base-uncased-finetuned-squad
Duplets/distilbert-base-uncased-finetuned-squad
distilbert-base-uncased-finetuned-squad is a question answering model from Duplets. Use it when the input is a question plus a passage. It is set up for transformers.
--- license: apache-2.0 tags: - generatedfromtrainer datasets: - squad model-index: - name: distilbert-base-uncased-finetuned-squad results: [] We
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Jul 17, 2022
- Updated
- Jul 21, 2022
- SHA
- 4747c44a
Try a prompt
Model card
From the Hugging Face model README
license: apache-2.0 tags:
- generated_from_trainer datasets:
- squad model-index:
- name: distilbert-base-uncased-finetuned-squad results: [] We
distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of distilbert-base-uncased on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.1487
Model description
F1 score: 85.1341
Intended uses & limitations
More information needed
Training and evaluation data
SQUAD 2.0
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 |
|---|---|---|---|
| 1.2118 | 1.0 | 5533 | 1.1484 |
| 0.9424 | 2.0 | 11066 | 1.1121 |
| 0.7441 | 3.0 | 16599 | 1.1487 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Question Answering
- Library
- transformers
- Type
- distilbert
- Created
- Jul 17, 2022
- Updated
- Jul 21, 2022