train_maml.sh

python run_maml.py \
    --data-folder <path to omniglot data> \
    --num-classes 5 \
    --num-meta-test-classes 5 \
    --num-samples-per-class 1 \
    --num-meta-test-samples-per-class 1 \
    --batch-size 32 \
    --inner-update-lr 0.4 \
    --meta-lr 0.001 \
    --num-meta-train-iterations 2000 \
    --num-meta-test-iterations 200 \
    --num-meta-validation-iterations 4 \
    --num-inner-updates 1 \
    --meta-test-num-inner-updates 1 \
    --dim-hidden 16 \
    --validation-frequency 100 \
    --device cpu