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bert-large-cased-whole-word-masking-finetuned-squad – AI Model by Arup-Dutta-Bappy | AlphaNeural AI
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Arup-Dutta-Bappy
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bert-large-cased-whole-word-masking-finetuned-squad
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
squad
google-bert/bert-large-cased-whole-word-masking
finetune
apache-2.0
endpoints_compatible
us
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bert-large-cased-whole-word-masking-finetuned-squad
This model is a fine-tuned version of
bert-large-cased-whole-word-masking
on the squad 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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
