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bert-large-cased-berta-finetuned-subjqa – AI Model by 96harsh56 | AlphaNeural AI
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bert-large-cased-berta-finetuned-subjqa
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
apache-2.0
endpoints_compatible
us
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bert-large-cased-berta-finetuned-subjqa
This model is a fine-tuned version of
bert-large-cased
on the None 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: 7e-06
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
