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MaterialsInformaticsLaboratory
QA-BERT-seed30
MaterialsInformaticsLaboratory/QA-BERT-seed30
QA-BERT-seed30 is a machine learning model from MaterialsInformaticsLaboratory. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 27, 2025
- Updated
- Jun 27, 2025
- SHA
- 20d468ee
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-lr3-seed30
This model is a fine-tuned version of bert-base-uncased on the squad_v2 dataset.
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: 8
- seed: 30
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
Training results
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu116
- Datasets 2.3.2
- Tokenizers 0.12.1
- Type
- bert
- License
- apache-2.0
- Created
- Jun 27, 2025
- Updated
- Jun 27, 2025