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QA-MaterialsBERT – AI Model by MaterialsInformaticsLaboratory | AlphaNeural AI
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MaterialsInformaticsLaboratory
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QA-MaterialsBERT
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pytorch
tensorboard
bert
generated_from_trainer
squad_v2
other
us
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materialsbert-lr5-seed12
This model is a fine-tuned version of
pranav-s/MaterialsBERT
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: 5e-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
