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QA-BERT – AI Model by MaterialsInformaticsLaboratory | AlphaNeural AI

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MaterialsInformaticsLaboratory/
QA-BERT

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bert-lr3-seed12

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: 12
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