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SQuAD-extractive_QA-bert-base-cased
srvmishra832/SQuAD-extractive_QA-bert-base-cased
SQuAD-extractive_QA-bert-base-cased is a question answering model from srvmishra832. 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.
This model is a fine-tuned version of bert-base-cased on the SQuAD dataset.
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 27, 2025
- Updated
- Mar 28, 2025
- SHA
- 7d751f6c
Try a prompt
Base models
Model card
From the Hugging Face model README
SQuAD-extractive_QA-bert-base-cased
This model is a fine-tuned version of bert-base-cased on the SQuAD dataset.
Model description
Intended uses & limitations
Extractive QA
Training and evaluation data
SQuAD dataset. Can be accessed using the load_dataset() method.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
After training, exact_match: 80.246, and f1: 87.665
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Mar 27, 2025
- Updated
- Mar 28, 2025