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bartpho-syllable-question-answering – AI Model by lizz4rd | AlphaNeural AI

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lizz4rd/
bartpho-syllable-question-answering

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question-answering

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vinai/bartpho-syllable

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bartpho-syllable-question-answering

This model is a fine-tuned version of vinai/bartpho-syllable on an UIT-ViQuAD2.0 dataset.

Model description

This model is the fine-tuned version of vinai/bartpho-syllable model on UIT-ViQuAD2.0 dataset.

Intended uses & limitations

The model can be used for Vietnamese Machine Reading Comprehensive (MRC) task to answer a question of a given context.

Training and evaluation data

UIT-ViQuAD2.0 dataset.

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
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 7

Training results

F1-Score: 80.1

EM: 58.0

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0