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bert-finetuned-squad
tmobaggins/bert-finetuned-squad
bert-finetuned-squad is a question answering model from tmobaggins. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 14, 2022
- Updated
- Nov 20, 2022
- SHA
- 01018c6e
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. -->
bert-finetuned-squad
This model is a fine-tuned version of bert-base-cased on the squad dataset.
Model description
This is a first attempt at following the directions from the huggingface course. It was run on colab and a private server
Intended uses & limitations
This model is fine-tuned for extractive question answering.
Training and evaluation data
SQuAD
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 14, 2022
- Updated
- Nov 20, 2022