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tacl-bert-base-uncased-finetuned-squad
sandeepvarma99/tacl-bert-base-uncased-finetuned-squad
tacl-bert-base-uncased-finetuned-squad is a question answering model from sandeepvarma99. 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
- bert
- Access
- Public
- Created
- Apr 5, 2023
- Updated
- Apr 5, 2023
- SHA
- f75b4e8f
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. -->
tacl-bert-base-uncased-finetuned-squad
This model is a fine-tuned version of cambridgeltl/tacl-bert-base-uncased on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 0.9903
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: 3e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0052 | 1.0 | 7377 | 0.9666 |
| 0.697 | 2.0 | 14754 | 0.9903 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Apr 5, 2023
- Updated
- Apr 5, 2023