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 |
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 |