Yanndubs's group workspace
table1_contrastive
What makes this group special?
Tags
0_3930943
Notes
Goal: compares contrastive methods (table 1 contrastive column).
Author
State
Finished
Start time
August 21st, 2022 9:29:36 PM
Runtime
14h 10m 30s
Tracked hours
14h 10m 25s
Run path
issl/issl_opensource/0_3930943
OS
Linux-5.4.0-107-generic-x86_64-with-glibc2.31
Python version
3.10.4
Command
-m submitit.core._submit /juice/scr/yanndubs/Invariant-Self-Supervised-Learning/outputs/2022-08-21_14-28-02/.submitit/%j
System Hardware
CPU count | 96 |
GPU count | 1 |
GPU type | NVIDIA GeForce RTX 3090 |
W&B CLI Version
0.13.1
Group
table1_contrastiveConfig
Config parameters are your model's inputs. Learn more
- {} 267 keys▶
- true
- "epoch"
- true
- 4
- false
- 50
- true
- "/juice/scr/yanndubs/Invariant-Self-Supervised-Learning/checkpoints/exp_table1_contrastive/datarepr_tinyimagenet/augrepr_data-standard/repr_cissl/dec_cissl/enc_resnet18/optrepr_Adam_lr2.0e-03_w1.0e-06/schedrepr_cosine/zdim_2048/bs_512/ep_1000/beta_1.0e-01/seed_1/addrepr_None/datapred_data_repr/pred_torch_logisticw1.0e-06/optpred_SGD_lr3.0e-01_w1.0e-06/schedpred_cosine_nowarm/eppred_100/bspred_512/addpred_None/jid_0_3930943"
- 1
- "min"
- "None"
- true
- 1
- false
- true
- "last"
- true
- "/juice/scr/yanndubs/Invariant-Self-Supervised-Learning/checkpoints/exp_table1_contrastive/datarepr_tinyimagenet/augrepr_data-standard/repr_cissl/dec_cissl/enc_resnet18/optrepr_Adam_lr2.0e-03_w1.0e-06/schedrepr_cosine/zdim_2048/bs_512/ep_1000/beta_1.0e-01/seed_1/addrepr_None/datapred_data_repr/pred_torch_logisticw1.0e-06/optpred_SGD_lr3.0e-01_w1.0e-06/schedpred_cosine_nowarm/eppred_100/bspred_512/addpred_None/jid_0_3930943"
- 1
- "min"
- "None"
- true
- 1
- false
- true
- "last"
- true
- "/juice/scr/yanndubs/Invariant-Self-Supervised-Learning/checkpoints/exp_table1_contrastive/datarepr_tinyimagenet/augrepr_data-standard/repr_cissl/dec_cissl/enc_resnet18/optrepr_Adam_lr2.0e-03_w1.0e-06/schedrepr_cosine/zdim_2048/bs_512/ep_1000/beta_1.0e-01/seed_1/addrepr_None/datapred_data_repr/pred_torch_logisticw1.0e-06/optpred_SGD_lr3.0e-01_w1.0e-06/schedpred_cosine_nowarm/eppred_100/bspred_512/addpred_None/jid_0_3930943"
- 1
- "min"
- "None"
- true
- 1
- false
- true
- "last"
- "???"
- "???"
- "tinyimagenet"
- true
- 512
- "/juice/scr/yanndubs/Invariant-Self-Supervised-Learning/data"
- [] 1 item▶
- "data-standard"
- "None"
- true
- 1
- 100
- 1,000
- "yanndubs"
- "issl"
46 ... 95▶▶96 ... 145▶▶146 ... 195▶▶196 ... 245▶▶246 ... 262▶▶
Summary
Summary metrics are your model's outputs. Learn more
- {} 65 keys▶
- 99
- 0.000003
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- 0.276123046875
- 0.3812499940395355
- 0.6187499761581421
- 2.643411636352539
- 5.7683210372924805
- 5.00069522857666
- 0.7676257491111755
- 320
- 0.07000000029802322
- 19,600
- 0.4478999972343445
- 6.104569911956787
- 0.8096976280212402
- 1,010.9439697265624
- 0.07000000774860382
46 ... 60▶▶
Artifact Outputs
This run produced these artifacts as outputs. Total: 3. Learn more
Type
Name
Consumer count
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