tasks/image_classification/scripts/train_cifar10.sh

python -m tasks.image_classification.train \
--log_dir logs/cifar10-versus-humans/ctm/d=256--i=64--heads=16--sd=5--synch=256-512-0-h=64-random-pairing--iters=50x15--backbone=18-1--seed=1 \
--model ctm
--dataset cifar10 \
--d_model 256 \
--d_input 64 \
--synapse_depth 5 \
--heads 16 \
--n_synch_out 256 \
--n_synch_action 512 \
--n_random_pairing_self 0 \
--neuron_select_type random-pairing \
--iterations 50 \
--memory_length 15 \
--deep_memory \
--memory_hidden_dims 64 \
--dropout 0.0 \
--dropout_nlm 0 \
--no-do_normalisation \
--positional_embedding_type none \
--backbone_type resnet18-1 \
--training_iterations 600001 \
--warmup_steps 1000 \
--use_scheduler \
--scheduler_type cosine \
--weight_decay 0.0001 \
--save_every 1000 \
--track_every 2000 \
--n_test_batches 50 \
--num_workers_train 8 \
--batch_size 512 \
--batch_size_test 512 \
--lr 1e-4 \
--device 0 \
--seed 1


python -m tasks.image_classification.train \
--log_dir logs/cifar10-versus-humans/ctm/d=256--i=64--heads=16--sd=5--synch=256-512-0-h=64-random-pairing--iters=50x15--backbone=18-1--seed=2 \
--model ctm
--dataset cifar10 \
--d_model 256 \
--d_input 64 \
--synapse_depth 5 \
--heads 16 \
--n_synch_out 256 \
--n_synch_action 512 \
--n_random_pairing_self 0 \
--neuron_select_type random-pairing \
--iterations 50 \
--memory_length 15 \
--deep_memory \
--memory_hidden_dims 64 \
--dropout 0.0 \
--dropout_nlm 0 \
--no-do_normalisation \
--positional_embedding_type none \
--backbone_type resnet18-1 \
--training_iterations 600001 \
--warmup_steps 1000 \
--use_scheduler \
--scheduler_type cosine \
--weight_decay 0.0001 \
--save_every 1000 \
--track_every 2000 \
--n_test_batches 50 \
--num_workers_train 8 \
--batch_size 512 \
--batch_size_test 512 \
--lr 1e-4 \
--device 0 \
--seed 2

python -m tasks.image_classification.train \
--log_dir logs/cifar10-versus-humans/ctm/d=256--i=64--heads=16--sd=5--synch=256-512-0-h=64-random-pairing--iters=50x15--backbone=18-1--seed=42 \
--model ctm
--dataset cifar10 \
--d_model 256 \
--d_input 64 \
--synapse_depth 5 \
--heads 16 \
--n_synch_out 256 \
--n_synch_action 512 \
--n_random_pairing_self 0 \
--neuron_select_type random-pairing \
--iterations 50 \
--memory_length 15 \
--deep_memory \
--memory_hidden_dims 64 \
--dropout 0.0 \
--dropout_nlm 0 \
--no-do_normalisation \
--positional_embedding_type none \
--backbone_type resnet18-1 \
--training_iterations 600001 \
--warmup_steps 1000 \
--use_scheduler \
--scheduler_type cosine \
--weight_decay 0.0001 \
--save_every 1000 \
--track_every 2000 \
--n_test_batches 50 \
--num_workers_train 8 \
--batch_size 512 \
--batch_size_test 512 \
--lr 1e-4 \
--device 0 \
--seed 42






python -m tasks.image_classification.train \
--log_dir logs/cifar10-versus-humans/lstm/nlayers=2--d=256--i=64--heads=16--synch=256-512-0-h=64-random-pairing--iters=50x15--backbone=18-1--seed=1 \
--dataset cifar10 \
--model lstm \
--num_layers 2 \
--d_model 256 \
--d_input 64 \
--heads 16 \
--iterations 50 \
--dropout 0.0  \
--positional_embedding_type none \
--backbone_type resnet18-1 \
--training_iterations 600001 \
--warmup_steps 2000 \
--use_scheduler \
--scheduler_type cosine \
--weight_decay 0.0001 \
--save_every 1000 \
--track_every 2000 \
--n_test_batches 50 \
--reload  \
--num_workers_train 8 \
--batch_size 512 \
--batch_size_test 512 \
--lr 1e-4 \
--device 0 \
--seed 1 \
--no-reload


python -m tasks.image_classification.train \
--log_dir logs/cifar10-versus-humans/lstm/nlayers=2--d=256--i=64--heads=16--synch=256-512-0-h=64-random-pairing--iters=50x15--backbone=18-1--seed=2 \
--dataset cifar10 \
--model lstm \
--num_layers 2 \
--d_model 256 \
--d_input 64 \
--heads 16 \
--iterations 50 \
--dropout 0.0  \
--positional_embedding_type none \
--backbone_type resnet18-1 \
--training_iterations 600001 \
--warmup_steps 2000 \
--use_scheduler \
--scheduler_type cosine \
--weight_decay 0.0001 \
--save_every 1000 \
--track_every 2000 \
--n_test_batches 50 \
--reload  \
--num_workers_train 8 \
--batch_size 512 \
--batch_size_test 512 \
--lr 1e-4 \
--device 0 \
--seed 2 \
--no-reload


python -m tasks.image_classification.train \
--log_dir logs/cifar10-versus-humans/lstm/nlayers=2--d=256--i=64--heads=16--synch=256-512-0-h=64-random-pairing--iters=50x15--backbone=18-1--seed=42 \
--dataset cifar10 \
--model lstm \
--num_layers 2 \
--d_model 256 \
--d_input 64 \
--heads 16 \
--iterations 50 \
--dropout 0.0  \
--positional_embedding_type none \
--backbone_type resnet18-1 \
--training_iterations 600001 \
--warmup_steps 2000 \
--use_scheduler \
--scheduler_type cosine \
--weight_decay 0.0001 \
--save_every 1000 \
--track_every 2000 \
--n_test_batches 50 \
--reload  \
--num_workers_train 8 \
--batch_size 512 \
--batch_size_test 512 \
--lr 1e-4 \
--device 0 \
--seed 42 \
--no-reload





python -m tasks.image_classification.train \
--log_dir logs/cifar10-versus-humans/ff/d=256--backbone=18-1--seed=1 \
--dataset cifar10 \
--model ff \
--d_model 256 \
--memory_hidden_dims 64 \
--dropout 0.0 \
--dropout_nlm 0 \
--backbone_type resnet18-1 \
--training_iterations 600001 \
--warmup_steps 1000 \
--use_scheduler \
--scheduler_type cosine \
--weight_decay 0.0001 \
--save_every 1000 \
--track_every 2000 \
--n_test_batches 50 \
--num_workers_train 8 \
--batch_size 512 \
--batch_size_test 512 \
--lr 1e-4 \
--device 0 \
--seed 1


python -m tasks.image_classification.train \
--log_dir logs/cifar10-versus-humans/ff/d=256--backbone=18-1--seed=2 \
--dataset cifar10 \
--model ff \
--d_model 256 \
--memory_hidden_dims 64 \
--dropout 0.0 \
--dropout_nlm 0 \
--backbone_type resnet18-1 \
--training_iterations 600001 \
--warmup_steps 1000 \
--use_scheduler \
--scheduler_type cosine \
--weight_decay 0.0001 \
--save_every 1000 \
--track_every 2000 \
--n_test_batches 50 \
--num_workers_train 8 \
--batch_size 512 \
--batch_size_test 512 \
--lr 1e-4 \
--device 0 \
--seed 2

python -m tasks.image_classification.train \
--log_dir logs/cifar10-versus-humans/ff/d=256--backbone=18-1--seed=42 \
--dataset cifar10 \
--model ff \
--d_model 256 \
--memory_hidden_dims 64 \
--dropout 0.0 \
--dropout_nlm 0 \
--backbone_type resnet18-1 \
--training_iterations 600001 \
--warmup_steps 1000 \
--use_scheduler \
--scheduler_type cosine \
--weight_decay 0.0001 \
--save_every 1000 \
--track_every 2000 \
--n_test_batches 50 \
--num_workers_train 8 \
--batch_size 512 \
--batch_size_test 512 \
--lr 1e-4 \
--device 0 \
--seed 42