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run_rnn_experiments.sh
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# !/bin/bash
# python3 main.py --model_name rnn --dataset_name mnist --hidden_size 512 --input_size 1 --output_size 10 --nepochs 50 --nruns 5 --weight_decay 0.000 --lr 1e-5 --exponential_decay True --continue_training False
# python3 main.py --model_name gru --dataset_name mnist --hidden_size 512 --input_size 1 --output_size 10 --nepochs 50 --nruns 5 --weight_decay 0.000 --lr 1e-5 --exponential_decay True --continue_training False
# python3 main.py --model_name lstm --dataset_name mnist --hidden_size 512 --input_size 1 --output_size 10 --nepochs 50 --nruns 5 --weight_decay 0.000 --lr 1e-5 --exponential_decay True --continue_training True
# python3 main.py --model_name urlstm --dataset_name mnist --hidden_size 512 --input_size 1 --output_size 10 --nepochs 50 --nruns 5 --weight_decay 0.000 --lr 1e-3 --continue_training False
# python3 main.py --model_name hippo --dataset_name mnist --hidden_size 512 --input_size 1 --output_size 10 --nepochs 50 --nruns 5 --weight_decay 0.000 --lr 1e-3 --continue_training False
python3 main.py --model_name gatedhippo --dataset_name mnist --hidden_size 512 --input_size 1 --output_size 10 --nepochs 50 --nruns 5 --weight_decay 0.00 --lr 1e-3 --continue_training False