mlpractical/local_experiment_scripts/cifar100_arg_parsing_template.sh

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2024-10-22 19:59:06 +02:00
#!/bin/sh
cd ..
export DATASET_DIR="data/"
# Activate the relevant virtual environment:
python train_evaluate_emnist_classification_system.py --batch_size 100 --continue_from_epoch -1 --seed 0 \
--image_num_channels 3 --image_height 32 --image_width 32 \
--dim_reduction_type "strided" --num_layers 4 --num_filters 64 \
--num_epochs 100 --experiment_name 'cifar100_test_exp' \
--use_gpu "True" --weight_decay_coefficient 0. \
--dataset_name "cifar100"