List of commits:
Subject Hash Author Date (UTC)
a d4e0e0d63613536a18f7ae0f39e4798f12abe7e8 Thai Thien 2020-08-02 03:59:14
adamw1_bigtail13i_t4_sha bc07d19cfcc88c4271d1c6f1984c1c96ff5a9413 Thai Thien 2020-08-01 16:19:17
adamw1_bigtail13i_t3_sha 17c169d6ef648e8c4f2c5383fb9226cfce48d626 Thai Thien 2020-08-01 16:11:33
adamw1_bigtail13i_t2_sha 8bc23f1401eacdc2e28f30a825503f0dd96bacc9 Thai Thien 2020-08-01 15:59:29
adamw1_bigtail13i_t2_shb aadc7244daabdad64a548342865a22beda073d94 Thai Thien 2020-08-01 15:47:08
gpu4 95c356f61c49d9f1927da7f86135a9bb60d21a59 Thai Thien 2020-08-01 14:46:30
adamw1_bigtail13i_t1_sha 34434bd013a4b05134c5ce42aa8f9956d424467d Thai Thien 2020-08-01 14:44:56
a 140443bb072f8086b6cef253bcadfb0d925ba606 Thai Thien 2020-08-01 12:09:09
adamw 57f61e52a024e91f57347c85a8c14813df16d15d Thai Thien 2020-08-01 12:05:36
adam1_bigtail13i_t1_shb 713dd1d5a0f13a2c881b00687fabb1174383da5b Thai Thien 2020-08-01 10:22:17
g1_BigTail14i_t8_sha eb361a5e64d38062fa6e5aa61ae21adc5a536aef Thai Thien 2020-07-31 15:45:50
g1_BigTail14i_t7_sha 32ff746fa0c272af36eadcd713cda94ef8f1b8e2 Thai Thien 2020-07-31 14:57:15
g1_BigTail14i_t6_sha 0656f2ac088bd2790b560931839bfa1d4bed98c4 Thai Thien 2020-07-30 19:32:13
sgd -6 g1_BigTail14i_t6_sha.sh 4c2877d478c40382109800e5a4b873d7a11b345c Thai Thien 2020-07-30 19:29:58
t5 070bf50a1a9bba8b8406c5c58b5806e39e99b56e Thai Thien 2020-07-30 19:26:48
g1_BigTail14i_t4_sha 71b259dab3cec69c9b40944cfe9e83ee723c8675 Thai Thien 2020-07-30 19:21:34
g1_BigTail14i_t3_sha 2a3ab6ec6283df6dfff8d05206403debca6f5259 Thai Thien 2020-07-30 19:11:39
g1_BigTail14i_t2_sha 3cff89d608a204683dfa48456f639520fce19c5b Thai Thien 2020-07-30 17:48:16
t3 8787c9eaceaec5f1199ec8092fd5682843697b5d Thai Thien 2020-07-30 17:42:31
t2 sha 0576d7c6d6bfceac2a2073b89601a5596090af36 Thai Thien 2020-07-30 17:37:48
Commit d4e0e0d63613536a18f7ae0f39e4798f12abe7e8 - a
Author: Thai Thien
Author date (UTC): 2020-08-02 03:59
Committer name: Thai Thien
Committer date (UTC): 2020-08-02 03:59
Parent(s): bc07d19cfcc88c4271d1c6f1984c1c96ff5a9413
Signing key:
Tree: 4f4824459947c7754c5ef46c868a41f27cfcb40a
File Lines added Lines deleted
train_script/learnstuff/l1/adamw1_bigtail13i_t5_sha.sh 3 3
train_script/learnstuff/l1/adamw2_bigtail13i_t1_sha.sh 4 4
File train_script/learnstuff/l1/adamw1_bigtail13i_t5_sha.sh copied from file train_script/learnstuff/l1/adamw1_bigtail13i_t4_sha.sh (similarity 86%) (mode: 100644) (index 72faa62..51ef757)
1 task="adamw1_bigtail13i_t4_sha"
1 task="adamw1_bigtail13i_t5_sha"
2 2
3 3 CUDA_VISIBLE_DEVICES=2 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ CUDA_VISIBLE_DEVICES=2 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \
4 4 --task_id $task \ --task_id $task \
5 5 --note "adamW with -3 lr and -5 decay (small decay for small batch size) , msel1mean" \ --note "adamW with -3 lr and -5 decay (small decay for small batch size) , msel1mean" \
6 6 --model "BigTail13i" \ --model "BigTail13i" \
7 7 --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_3/part_A \ --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_3/part_A \
8 --lr 1e-4 \
8 --lr 1e-5 \
9 9 --decay 1e-5 \ --decay 1e-5 \
10 10 --loss_fn "MSEL1Mean" \ --loss_fn "MSEL1Mean" \
11 11 --datasetname shanghaitech_crop_random \ --datasetname shanghaitech_crop_random \
12 12 --optim adamw \ --optim adamw \
13 13 --cache \ --cache \
14 --epochs 1201 > logs/$task.log &
14 --epochs 1501 > logs/$task.log &
15 15
16 16 echo logs/$task.log # for convenience echo logs/$task.log # for convenience
File train_script/learnstuff/l1/adamw2_bigtail13i_t1_sha.sh copied from file train_script/learnstuff/l1/adamw1_bigtail13i_t4_sha.sh (similarity 82%) (mode: 100644) (index 72faa62..fb919ce)
1 task="adamw1_bigtail13i_t4_sha"
1 task="adamw2_bigtail13i_t1_sha"
2 2
3 3 CUDA_VISIBLE_DEVICES=2 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ CUDA_VISIBLE_DEVICES=2 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \
4 4 --task_id $task \ --task_id $task \
5 5 --note "adamW with -3 lr and -5 decay (small decay for small batch size) , msel1mean" \ --note "adamW with -3 lr and -5 decay (small decay for small batch size) , msel1mean" \
6 6 --model "BigTail13i" \ --model "BigTail13i" \
7 7 --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_3/part_A \ --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_3/part_A \
8 --lr 1e-4 \
8 --lr 1e-5 \
9 9 --decay 1e-5 \ --decay 1e-5 \
10 --loss_fn "MSEL1Mean" \
10 --loss_fn "MSEL1Sum" \
11 11 --datasetname shanghaitech_crop_random \ --datasetname shanghaitech_crop_random \
12 12 --optim adamw \ --optim adamw \
13 13 --cache \ --cache \
14 --epochs 1201 > logs/$task.log &
14 --epochs 1501 > logs/$task.log &
15 15
16 16 echo logs/$task.log # for convenience echo logs/$task.log # for convenience
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