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Refinement experiments

Juan Camilo Pérez Santamaría edited this page Jan 3, 2018 · 11 revisions
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[email protected] Mixed layers: 3 → 5 CUDA_VISIBLE_DEVICES=0 nohup python -u train.py --data /mnt/referit_data/ --backend dpn92 --lr 1e-5 --mixed-layers 5 --save-folder unc_dpn92_sru_lowres_mixed_layers_5 > unc_dpn92_sru_lowres_mixed_layers_5.log &
[email protected] Combine lang WE + Hid (--mix-we) CUDA_VISIBLE_DEVICES=1 nohup python -u train.py --data /mnt/referit_data/ --backend dpn92 --lr 1e-5 --mix-we --save-folder unc_dpn92_sru_lowres_mixwe > unc_dpn92_sru_lowres_mixwe.log &
[email protected] Mixed size (Before mSRU): 4096 CUDA_VISIBLE_DEVICES=0 nohup python -u train.py --data /mnt/referit_data/ --backend dpn92 --mixed-size 4096 --save-folder unc_dpn92_sru_lowres_mixed_size_4096 > unc_dpn92_sru_lowres_mixed_size_4096 &
[email protected] Mixed size (Before mSRU): 512 CUDA_VISIBLE_DEVICES=1 nohup python -u train.py --data /mnt/referit_data/ --backend dpn92 --mixed-size 512 --save-folder unc_dpn92_sru_lowres_mixed_size_512 > unc_dpn92_sru_lowres_mixed_size_512.log &
[email protected] mSRU Hidden Size 4096 CUDA_VISIBLE_DEVICES=0 nohup python -u train.py --data /mnt/referit_data/ --backend dpn92 --hid-mixed-size 4096 --save-folder unc_dpn92_sru_lowres_hid_mixed_size_4096 > unc_dpn92_sru_lowres_hid_mixed_size_4096.log &
[email protected] SRU Hidden Size 2048 CUDA_VISIBLE_DEVICES=1 nohup python -u train.py --data /mnt/referit_data/ --backend dpn92 --hid-size 2048 --save-folder unc_dpn92_sru_lowres_hid_size_2048 > unc_dpn92_sru_lowres_hid_size_2048.log &
T1 mSRU Hidden Size 4096 CUDA_VISIBLE_DEVICES=0 nohup python -u train.py --data ../referit_data --backend dpn92 --save-folder unc_dpn92_mSRU4096_weights --lr 1e-5 --hid-mixed-size 4096 > unc_dpn92_mSRU4096.log &
T2 SRU Hidden Size 2048 CUDA_VISIBLE_DEVICES=1 nohup python -u train.py --data ../referit_data --backend dpn92 --save-folder unc_dpn92_SRU2048_weights --lr 1e-5 --hid-size 2048 > unc_dpn92_SRU2048.log &
T3 5 filters CUDA_VISIBLE_DEVICES=2 nohup python -u train.py --data ../referit_data --backend dpn92 --save-folder unc_dpn92_filters5_weights --lr 1e-5 --num-filters 5 > unc_dpn92_filters5.log &
T4 10 filters CUDA_VISIBLE_DEVICES=3 nohup python -u train.py --data ../referit_data --backend dpn92 --save-folder unc_dpn92_filters10_weights --lr 1e-5 --num-filters 10 > unc_dpn92_filters10.log &
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