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bert-9 – AI Model by hung200504 | AlphaNeural AI
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hung200504
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bert-9
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transformers
pytorch
bert
question-answering
generated_from_trainer
deepset/bert-base-cased-squad2
finetune
cc-by-4.0
endpoints_compatible
us
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bert-9
This model is a fine-tuned version of
deepset/bert-base-cased-squad2
on an unknown 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: 1e-07
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
