List of commits:
Subject Hash Author Date (UTC)
train script ccnnv9 8ab76b70dad11b1458f8c1bfc2f1765c6ece984d Thai Thien 2020-06-13 17:57:02
train script 7ab6cf827c811af9a0c9168de2fde4dbd0fb3e61 Thai Thien 2020-06-13 11:54:21
fix typo also 3d32c83c822a66ac24ebb6d8cfe4d023d167d441 Thai Thien 2020-06-13 04:45:27
typo in training script 07c6055e3bdacaca34c0aaacd49d5c87a07f4320 Thai Thien 2020-06-13 04:44:20
ccnnv9 leaky relu 5fd462122ef62498a51dd83db2c89507254d7a96 Thai Thien 2020-06-13 04:40:41
CompactCNNv9 leaky relu 03e5f342cc6eb3ba4fd0b98061398acedde6ab54 Thai Thien 2020-06-13 04:36:43
train script ad55dbff34ffab8cffd068536c4d2f2b57a487ee Thai Thien 2020-06-13 04:17:21
add L1Mean, add experiment tag on cometml 125f03f6f136bde9fa11b00a749b8a0c3de51534 Thai Thien 2020-06-13 04:15:30
msenone f68f48cc1a2e28a65da368a9a66ebec9f8694467 Thai Thien 2020-06-13 03:54:44
train script 2b142c16cce5403d0d673077d2b1e442af072e42 Thai Thien 2020-06-12 16:42:25
train script 67923fc98cd4f82880e973f7dbf143c09ffcf8e8 Thai Thien 2020-06-12 16:01:59
ccnnv8 adam t1 sha, H3 0cab419a2c9747611347b6ddb75ca8a5cb20eb79 Thai Thien 2020-06-11 16:21:47
ccnv8 adam t1 shb edd704f19c3d58d959c13b96100498c8809b309c Thai Thien 2020-06-11 15:51:21
ccnnv8 4e8e6e864c3f2fea80a3b61addbc26eb8f3ae059 Thai Thien 2020-06-11 15:47:04
bigtail7 cuda4 fdde3eb95706e95cdc0e8d81f93f2e08036d3192 Thai Thien 2020-06-11 15:45:38
train script, bigtail6, bigtail7 shb ea5758dcd7d8428e694cc84d50c81267eabcef23 Thai Thien 2020-06-11 15:36:54
WIP 3d7e1f10700c05bf7672cbf46ae6cafae8f2330f Thai Thien 2020-06-11 13:07:18
return x c750d65fe266979e9cdebf9a53b2af343462fbda Thai Thien 2020-06-11 12:39:13
bigtail5 b750f0037993fdfdda6433b1982f5612d13aa1a6 Thai Thien 2020-06-11 12:32:28
adam t3 t4 933528ca8870affc741e989520172819382db0c0 Thai Thien 2020-06-10 07:59:26
Commit 8ab76b70dad11b1458f8c1bfc2f1765c6ece984d - train script ccnnv9
ccnnv9_adam_t5_sha
ccnnv9_adam_t3_sha_c1
Author: Thai Thien
Author date (UTC): 2020-06-13 17:57
Committer name: Thai Thien
Committer date (UTC): 2020-06-13 17:57
Parent(s): 7ab6cf827c811af9a0c9168de2fde4dbd0fb3e61
Signing key:
Tree: abdb249b86ed0355b15ff84c80a32b0e76088f84
File Lines added Lines deleted
train_script/adam_stuff/ccnnv9_adam_t3_sha_c1.sh 6 5
train_script/adam_stuff/ccnnv9_adam_t5_sha.sh 4 4
File train_script/adam_stuff/ccnnv9_adam_t3_sha_c1.sh copied from file train_script/adam_stuff/ccnnv9_adam_t4_sha.sh (similarity 63%) (mode: 100644) (index b68f631..4b00a5c)
1 task="ccnnv9_adam_t4_sha"
1 task="ccnnv9_adam_t3_sha_c1"
2 2
3 3 CUDA_VISIBLE_DEVICES=5 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ CUDA_VISIBLE_DEVICES=5 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 $task \
5 5 --note "leaky relu" \ --note "leaky relu" \
6 6 --model "CompactCNNV9" \ --model "CompactCNNV9" \
7 7 --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \ --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \
8 --lr 1e-4 \
9 --decay 1e-4 \
10 --loss_fn "L1Mean" \
8 --load_model "saved_model_best/ccnnv9_adam_t3_sha/ccnnv9_adam_t3_sha_checkpoint_valid_mae=-111.91341031392416.pth" \
9 --lr 1e-5 \
10 --decay 1e-5 \
11 --loss_fn "MSEMean" \
11 12 --skip_train_eval \ --skip_train_eval \
12 13 --batch_size 1 \ --batch_size 1 \
13 14 --optim "adam" \ --optim "adam" \
14 15 --datasetname shanghaitech_crop_random \ --datasetname shanghaitech_crop_random \
15 --epochs 1200 > logs/$task.log &
16 --epochs 2000 > logs/$task.log &
16 17
17 18 echo logs/$task.log # for convenience echo logs/$task.log # for convenience
File train_script/adam_stuff/ccnnv9_adam_t5_sha.sh copied from file train_script/adam_stuff/ccnnv9_adam_t3_sha.sh (similarity 82%) (mode: 100644) (index 56d30ed..4f8533f)
1 task="ccnnv9_adam_t3_sha"
1 task="ccnnv9_adam_t5_sha"
2 2
3 3 CUDA_VISIBLE_DEVICES=4 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ CUDA_VISIBLE_DEVICES=4 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 $task \
5 5 --note "leaky relu" \ --note "leaky relu" \
6 6 --model "CompactCNNV9" \ --model "CompactCNNV9" \
7 7 --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \ --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \
8 --lr 1e-4 \
9 --decay 1e-4 \
8 --lr 1e-5 \
9 --decay 1e-5 \
10 10 --loss_fn "MSEMean" \ --loss_fn "MSEMean" \
11 11 --skip_train_eval \ --skip_train_eval \
12 12 --batch_size 1 \ --batch_size 1 \
13 13 --optim "adam" \ --optim "adam" \
14 14 --datasetname shanghaitech_crop_random \ --datasetname shanghaitech_crop_random \
15 --epochs 1200 > logs/$task.log &
15 --epochs 1201 > logs/$task.log &
16 16
17 17 echo logs/$task.log # for convenience echo logs/$task.log # for convenience
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