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Transformers single layer training on Mnist

data preprocess

At first, we need run script ./scripts/data/mnist_preprocess.py to get pre-processed data

python ./scripts/data/mnist_preprocess.py --data_size 28

file dir

cache: root for saving data, the 'test_data.txt', 'train_data.txt', 'test_label.txt', 'train_label.txt' is saved in this directory.

scripts: total scripts

更改模型类别可以通过参数model_type进行更改, model_type=transformer or model_type=linear

training and test run the following command

python main.py --lr 0.001 --batch_size 256 --n_epochs 10 --data_split_dim 4 --data_dimension 8 --n_heads 1 --model_type transformer --gama_scale 0.001

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