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extractive_reader_nq_fquad – AI Model by abdouaziiz | AlphaNeural AI
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extractive_reader_nq_fquad
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transformers
pytorch
bert
question-answering
generated_from_trainer
fquad
endpoints_compatible
us
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extractive_reader_nq
This model is a fine-tuned version of
ToluClassics/extractive_reader_nq
on the fquad 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: 30
eval_batch_size: 30
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30.0
Training results
Framework versions
Transformers 4.24.0
Pytorch 1.9.1+cu111
Datasets 2.10.2.dev0
Tokenizers 0.13.2
