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bert_for_fit's Introduction

BERT for FIT - Filling In The blank

Description

Xây dựng mô hình dự đoán từ cần điền vào chỗ trống và áp dụng vào giải đề thi Toiec.
Model Architecture

How to run

Đầu tiên, cài đặt những thứ cần thiết:

# clone project   
git clone https://github.com/ThanThoai/Bert_for_FIT

# install project   
cd Bert_for_FIT
pip install -r requirements.txt

Tải dataset, pretrain BERT và để vào thư mục cần thiết. Link BERT_pretraindataset. Cấu trúc thư mục:

 |--dataset
 |
 |--model
 |  |
 |  |--data
 |  |   |-train-{model_name}.pt
 |  |   |-valied-{model_name}.pt
 |  |   
 |  |-src
 |
 |--pretrained
 |  |
 |  |--bert-base-uncased:
 |  |       |
 |  |       |--pytorch_model.bin
 |  |       |--config.json
 |  |       |--vocab.txt
 |  |    
 |  |--bert-large-uncased:
 |  |       |
 |  |       |--pytorch_model.bin
 |  |       |--config.json
 |  |       |--vocab.txt

Chỉnh sửa file config.yaml để điều chỉnh các tham số. Sau đó chạy lệnh:

python main.py

Mô hình được huấn luyện trên GPU Tesla V100 16GB với batch_size = 2.

How to test

Tải các model đã huấn luyện. Chỉnh sửa đường dẫn model trong file test.py

python test.py

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