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bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad – AI Model by Jiqing | AlphaNeural AI
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Jiqing
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bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad
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transformers
pytorch
bert
question-answering
generated_from_trainer
squad
apache-2.0
endpoints_compatible
us
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bert-large-uncased-whole-word-masking-finetuned-squad-finetuned-squad
This model is a fine-tuned version of
bert-large-uncased-whole-word-masking-finetuned-squad
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Framework versions
Transformers 4.21.0
Pytorch 1.12.0+cu102
Datasets 2.4.0
Tokenizers 0.12.1
