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finetune-viquad – AI Model by giangduong | AlphaNeural AI
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finetune-viquad
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transformers
pytorch
tensorboard
roberta
question-answering
generated_from_trainer
cc-by-nc-4.0
endpoints_compatible
us
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finetune-viquad
This model is a fine-tuned version of
nguyenvulebinh/vi-mrc-base
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: 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 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
