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Browse files- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d10/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d10/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d10/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d100/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d100/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d100/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d120/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d120/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d120/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d140/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d140/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d140/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d160/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d160/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d160/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d180/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d180/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d180/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d20/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d20/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d20/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d200/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d200/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d200/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d30/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d30/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d30/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d40/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d40/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d40/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d50/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d50/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d50/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d60/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d60/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d60/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d70/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d70/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d70/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d80/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d80/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d80/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d90/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d90/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d90/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed43/d10/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed43/d10/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed43/d10/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed43/d100/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed43/d100/metrics.jsonl +0 -0
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d10/config.json
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{
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"vae_checkpoint": "vae_checkpoints/celeba_resnet_modernloss_d10/vae.pt",
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"out": "results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d10",
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"subset_path": "diagnostics/celeba_diverse_1k_mean_plus_sd/subset_indices.json",
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"train_tar": "/overflow/data/cerberus/celeba_hq_256_partitioned_ws/train/celeba_hq_256-train-0000.tar",
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"n_train": 1000,
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"total_steps": 5000000,
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"eval_interval": 10000,
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"mem_interval": 100000,
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"fid_interval": 100000,
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"fid_n_real": 1000,
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"fid_n_gen": 10000,
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"n_gen_samples": 10000,
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"n_sde_steps": 500,
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"batch_size": 512,
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"hidden": 1024,
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"depth": 5,
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"optimizer": "sgd",
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"lr": 0.001,
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"momentum": 0.8,
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"t_min": 0.01,
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"t_max": 3.0,
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"t_eval": 0.1,
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"seed": 42,
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"device": null
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}
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results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d10/metrics.jsonl
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results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d10/runner.log
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| 1 |
+
FID real-side stats cached over 1000 diverse train images
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| 2 |
+
step 1 | 68s | train_loss=0.9779 | fid=194.7757
|
| 3 |
+
step 10000 | 159s | train_loss=0.9101
|
| 4 |
+
step 20000 | 251s | train_loss=0.9070
|
| 5 |
+
step 30000 | 343s | train_loss=0.9057
|
| 6 |
+
step 40000 | 435s | train_loss=0.9049
|
| 7 |
+
step 50000 | 528s | train_loss=0.9041
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| 8 |
+
step 60000 | 620s | train_loss=0.9035
|
| 9 |
+
step 70000 | 712s | train_loss=0.9028
|
| 10 |
+
step 80000 | 804s | train_loss=0.9023
|
| 11 |
+
step 90000 | 895s | train_loss=0.9016
|
| 12 |
+
step 100000 | 1043s | train_loss=0.9011 | fid=87.0800
|
| 13 |
+
step 110000 | 1134s | train_loss=0.9006
|
| 14 |
+
step 120000 | 1225s | train_loss=0.9000
|
| 15 |
+
step 130000 | 1315s | train_loss=0.8994
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| 16 |
+
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|
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| 20 |
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| 21 |
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| 22 |
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| 24 |
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| 27 |
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| 28 |
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| 29 |
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| 32 |
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| 464 |
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| 465 |
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| 466 |
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| 470 |
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| 471 |
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|
| 472 |
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step 4700000 | 44978s | train_loss=0.0437 | fid=86.9798
|
| 473 |
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|
| 474 |
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| 475 |
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| 476 |
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| 477 |
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| 478 |
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|
| 479 |
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|
| 480 |
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|
| 481 |
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|
| 482 |
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step 4800000 | 45612s | train_loss=0.0431 | fid=87.3757
|
| 483 |
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|
| 484 |
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|
| 485 |
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|
| 486 |
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|
| 487 |
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|
| 488 |
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step 4860000 | 45850s | train_loss=0.0430
|
| 489 |
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step 4870000 | 45887s | train_loss=0.0422
|
| 490 |
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step 4880000 | 45925s | train_loss=0.0433
|
| 491 |
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|
| 492 |
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|
| 493 |
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|
| 494 |
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|
| 495 |
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step 4930000 | 46143s | train_loss=0.0435
|
| 496 |
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step 4940000 | 46166s | train_loss=0.0426
|
| 497 |
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step 4950000 | 46191s | train_loss=0.0434
|
| 498 |
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step 4960000 | 46215s | train_loss=0.0425
|
| 499 |
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|
| 500 |
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|
| 501 |
+
step 4990000 | 46286s | train_loss=0.0418
|
| 502 |
+
step 5000000 | 46328s | train_loss=0.0416 | fid=87.2397
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d100/config.json
ADDED
|
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| 1 |
+
{
|
| 2 |
+
"vae_checkpoint": "vae_checkpoints/celeba_resnet_modernloss_d100/vae.pt",
|
| 3 |
+
"out": "results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d100",
|
| 4 |
+
"subset_path": "diagnostics/celeba_diverse_1k_mean_plus_sd/subset_indices.json",
|
| 5 |
+
"train_tar": "/overflow/data/cerberus/celeba_hq_256_partitioned_ws/train/celeba_hq_256-train-0000.tar",
|
| 6 |
+
"n_train": 1000,
|
| 7 |
+
"total_steps": 5000000,
|
| 8 |
+
"eval_interval": 10000,
|
| 9 |
+
"mem_interval": 100000,
|
| 10 |
+
"fid_interval": 100000,
|
| 11 |
+
"fid_n_real": 1000,
|
| 12 |
+
"fid_n_gen": 10000,
|
| 13 |
+
"n_gen_samples": 10000,
|
| 14 |
+
"n_sde_steps": 500,
|
| 15 |
+
"batch_size": 512,
|
| 16 |
+
"hidden": 1024,
|
| 17 |
+
"depth": 5,
|
| 18 |
+
"optimizer": "sgd",
|
| 19 |
+
"lr": 0.001,
|
| 20 |
+
"momentum": 0.8,
|
| 21 |
+
"t_min": 0.01,
|
| 22 |
+
"t_max": 3.0,
|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
+
"seed": 42,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d100/metrics.jsonl
ADDED
|
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results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d100/runner.log
ADDED
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|
| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 72s | train_loss=0.9951 | fid=288.8943
|
| 3 |
+
step 10000 | 166s | train_loss=0.8008
|
| 4 |
+
step 20000 | 261s | train_loss=0.6759
|
| 5 |
+
step 30000 | 356s | train_loss=0.5366
|
| 6 |
+
step 40000 | 451s | train_loss=0.3950
|
| 7 |
+
step 50000 | 546s | train_loss=0.2822
|
| 8 |
+
step 60000 | 641s | train_loss=0.2168
|
| 9 |
+
step 70000 | 736s | train_loss=0.1752
|
| 10 |
+
step 80000 | 831s | train_loss=0.1511
|
| 11 |
+
step 90000 | 926s | train_loss=0.1364
|
| 12 |
+
step 100000 | 1086s | train_loss=0.1270 | fid=58.6037
|
| 13 |
+
step 110000 | 1181s | train_loss=0.1197
|
| 14 |
+
step 120000 | 1276s | train_loss=0.1140
|
| 15 |
+
step 130000 | 1371s | train_loss=0.1079
|
| 16 |
+
step 140000 | 1466s | train_loss=0.1025
|
| 17 |
+
step 150000 | 1561s | train_loss=0.0995
|
| 18 |
+
step 160000 | 1656s | train_loss=0.0967
|
| 19 |
+
step 170000 | 1752s | train_loss=0.0934
|
| 20 |
+
step 180000 | 1847s | train_loss=0.0886
|
| 21 |
+
step 190000 | 1938s | train_loss=0.0869
|
| 22 |
+
step 200000 | 2103s | train_loss=0.0839 | fid=59.1418
|
| 23 |
+
step 210000 | 2198s | train_loss=0.0838
|
| 24 |
+
step 220000 | 2293s | train_loss=0.0815
|
| 25 |
+
step 230000 | 2388s | train_loss=0.0769
|
| 26 |
+
step 240000 | 2483s | train_loss=0.0764
|
| 27 |
+
step 250000 | 2578s | train_loss=0.0743
|
| 28 |
+
step 260000 | 2673s | train_loss=0.0730
|
| 29 |
+
step 270000 | 2768s | train_loss=0.0716
|
| 30 |
+
step 280000 | 2863s | train_loss=0.0707
|
| 31 |
+
step 290000 | 2953s | train_loss=0.0681
|
| 32 |
+
step 300000 | 3119s | train_loss=0.0669 | fid=55.3515
|
| 33 |
+
step 310000 | 3214s | train_loss=0.0658
|
| 34 |
+
step 320000 | 3309s | train_loss=0.0647
|
| 35 |
+
step 330000 | 3404s | train_loss=0.0653
|
| 36 |
+
step 340000 | 3499s | train_loss=0.0641
|
| 37 |
+
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|
| 38 |
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|
| 39 |
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|
| 40 |
+
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|
| 41 |
+
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|
| 42 |
+
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|
| 43 |
+
step 410000 | 4231s | train_loss=0.0570
|
| 44 |
+
step 420000 | 4326s | train_loss=0.0572
|
| 45 |
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|
| 46 |
+
step 440000 | 4516s | train_loss=0.0561
|
| 47 |
+
step 450000 | 4611s | train_loss=0.0554
|
| 48 |
+
step 460000 | 4706s | train_loss=0.0545
|
| 49 |
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|
| 50 |
+
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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step 590000 | 6000s | train_loss=0.0489
|
| 62 |
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step 600000 | 6167s | train_loss=0.0484 | fid=53.1119
|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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| 131 |
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| 132 |
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|
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|
| 134 |
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| 135 |
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| 136 |
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| 137 |
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|
| 138 |
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| 139 |
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| 140 |
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| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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| 145 |
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|
| 146 |
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| 148 |
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| 150 |
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|
| 425 |
+
step 4230000 | 42639s | train_loss=0.0146
|
| 426 |
+
step 4240000 | 42729s | train_loss=0.0147
|
| 427 |
+
step 4250000 | 42814s | train_loss=0.0145
|
| 428 |
+
step 4260000 | 42909s | train_loss=0.0144
|
| 429 |
+
step 4270000 | 42993s | train_loss=0.0137
|
| 430 |
+
step 4280000 | 43086s | train_loss=0.0144
|
| 431 |
+
step 4290000 | 43181s | train_loss=0.0143
|
| 432 |
+
step 4300000 | 43349s | train_loss=0.0144 | fid=40.6055
|
| 433 |
+
step 4310000 | 43445s | train_loss=0.0146
|
| 434 |
+
step 4320000 | 43538s | train_loss=0.0147
|
| 435 |
+
step 4330000 | 43633s | train_loss=0.0149
|
| 436 |
+
step 4340000 | 43719s | train_loss=0.0139
|
| 437 |
+
step 4350000 | 43808s | train_loss=0.0144
|
| 438 |
+
step 4360000 | 43902s | train_loss=0.0134
|
| 439 |
+
step 4370000 | 43986s | train_loss=0.0152
|
| 440 |
+
step 4380000 | 44081s | train_loss=0.0152
|
| 441 |
+
step 4390000 | 44176s | train_loss=0.0147
|
| 442 |
+
step 4400000 | 44344s | train_loss=0.0137 | fid=41.1455
|
| 443 |
+
step 4410000 | 44440s | train_loss=0.0147
|
| 444 |
+
step 4420000 | 44532s | train_loss=0.0140
|
| 445 |
+
step 4430000 | 44628s | train_loss=0.0152
|
| 446 |
+
step 4440000 | 44710s | train_loss=0.0144
|
| 447 |
+
step 4450000 | 44801s | train_loss=0.0140
|
| 448 |
+
step 4460000 | 44894s | train_loss=0.0144
|
| 449 |
+
step 4470000 | 44979s | train_loss=0.0144
|
| 450 |
+
step 4480000 | 45074s | train_loss=0.0135
|
| 451 |
+
step 4490000 | 45169s | train_loss=0.0147
|
| 452 |
+
step 4500000 | 45338s | train_loss=0.0142 | fid=39.2491
|
| 453 |
+
step 4510000 | 45432s | train_loss=0.0158
|
| 454 |
+
step 4520000 | 45526s | train_loss=0.0135
|
| 455 |
+
step 4530000 | 45622s | train_loss=0.0151
|
| 456 |
+
step 4540000 | 45712s | train_loss=0.0141
|
| 457 |
+
step 4550000 | 45807s | train_loss=0.0137
|
| 458 |
+
step 4560000 | 45899s | train_loss=0.0146
|
| 459 |
+
step 4570000 | 45995s | train_loss=0.0162
|
| 460 |
+
step 4580000 | 46090s | train_loss=0.0139
|
| 461 |
+
step 4590000 | 46185s | train_loss=0.0137
|
| 462 |
+
step 4600000 | 46354s | train_loss=0.0137 | fid=40.6116
|
| 463 |
+
step 4610000 | 46448s | train_loss=0.0140
|
| 464 |
+
step 4620000 | 46542s | train_loss=0.0143
|
| 465 |
+
step 4630000 | 46635s | train_loss=0.0136
|
| 466 |
+
step 4640000 | 46729s | train_loss=0.0130
|
| 467 |
+
step 4650000 | 46822s | train_loss=0.0134
|
| 468 |
+
step 4660000 | 46917s | train_loss=0.0140
|
| 469 |
+
step 4670000 | 47012s | train_loss=0.0134
|
| 470 |
+
step 4680000 | 47107s | train_loss=0.0152
|
| 471 |
+
step 4690000 | 47201s | train_loss=0.0132
|
| 472 |
+
step 4700000 | 47371s | train_loss=0.0141 | fid=39.5449
|
| 473 |
+
step 4710000 | 47464s | train_loss=0.0132
|
| 474 |
+
step 4720000 | 47551s | train_loss=0.0130
|
| 475 |
+
step 4730000 | 47626s | train_loss=0.0138
|
| 476 |
+
step 4740000 | 47701s | train_loss=0.0132
|
| 477 |
+
step 4750000 | 47759s | train_loss=0.0139
|
| 478 |
+
step 4760000 | 47818s | train_loss=0.0136
|
| 479 |
+
step 4770000 | 47876s | train_loss=0.0136
|
| 480 |
+
step 4780000 | 47935s | train_loss=0.0136
|
| 481 |
+
step 4790000 | 47993s | train_loss=0.0140
|
| 482 |
+
step 4800000 | 48101s | train_loss=0.0132 | fid=39.9997
|
| 483 |
+
step 4810000 | 48156s | train_loss=0.0140
|
| 484 |
+
step 4820000 | 48215s | train_loss=0.0134
|
| 485 |
+
step 4830000 | 48269s | train_loss=0.0132
|
| 486 |
+
step 4840000 | 48327s | train_loss=0.0138
|
| 487 |
+
step 4850000 | 48386s | train_loss=0.0133
|
| 488 |
+
step 4860000 | 48444s | train_loss=0.0133
|
| 489 |
+
step 4870000 | 48503s | train_loss=0.0130
|
| 490 |
+
step 4880000 | 48562s | train_loss=0.0133
|
| 491 |
+
step 4890000 | 48620s | train_loss=0.0127
|
| 492 |
+
step 4900000 | 48728s | train_loss=0.0136 | fid=39.6727
|
| 493 |
+
step 4910000 | 48767s | train_loss=0.0126
|
| 494 |
+
step 4920000 | 48806s | train_loss=0.0131
|
| 495 |
+
step 4930000 | 48839s | train_loss=0.0150
|
| 496 |
+
step 4940000 | 48864s | train_loss=0.0130
|
| 497 |
+
step 4950000 | 48888s | train_loss=0.0136
|
| 498 |
+
step 4960000 | 48912s | train_loss=0.0131
|
| 499 |
+
step 4970000 | 48937s | train_loss=0.0131
|
| 500 |
+
step 4980000 | 48962s | train_loss=0.0131
|
| 501 |
+
step 4990000 | 48986s | train_loss=0.0125
|
| 502 |
+
step 5000000 | 49026s | train_loss=0.0134 | fid=39.0622
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d120/config.json
ADDED
|
@@ -0,0 +1,26 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"vae_checkpoint": "vae_checkpoints/celeba_resnet_modernloss_d120/vae.pt",
|
| 3 |
+
"out": "results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d120",
|
| 4 |
+
"subset_path": "diagnostics/celeba_diverse_1k_mean_plus_sd/subset_indices.json",
|
| 5 |
+
"train_tar": "/overflow/data/cerberus/celeba_hq_256_partitioned_ws/train/celeba_hq_256-train-0000.tar",
|
| 6 |
+
"n_train": 1000,
|
| 7 |
+
"total_steps": 5000000,
|
| 8 |
+
"eval_interval": 10000,
|
| 9 |
+
"mem_interval": 100000,
|
| 10 |
+
"fid_interval": 100000,
|
| 11 |
+
"fid_n_real": 1000,
|
| 12 |
+
"fid_n_gen": 10000,
|
| 13 |
+
"n_gen_samples": 10000,
|
| 14 |
+
"n_sde_steps": 500,
|
| 15 |
+
"batch_size": 512,
|
| 16 |
+
"hidden": 1024,
|
| 17 |
+
"depth": 5,
|
| 18 |
+
"optimizer": "sgd",
|
| 19 |
+
"lr": 0.001,
|
| 20 |
+
"momentum": 0.8,
|
| 21 |
+
"t_min": 0.01,
|
| 22 |
+
"t_max": 3.0,
|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
+
"seed": 42,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d120/metrics.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
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|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d120/runner.log
ADDED
|
@@ -0,0 +1,502 @@
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|
| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 67s | train_loss=0.9999 | fid=266.3316
|
| 3 |
+
step 10000 | 161s | train_loss=0.7931
|
| 4 |
+
step 20000 | 255s | train_loss=0.6574
|
| 5 |
+
step 30000 | 350s | train_loss=0.5265
|
| 6 |
+
step 40000 | 445s | train_loss=0.4067
|
| 7 |
+
step 50000 | 540s | train_loss=0.3105
|
| 8 |
+
step 60000 | 636s | train_loss=0.2431
|
| 9 |
+
step 70000 | 731s | train_loss=0.2001
|
| 10 |
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|
| 11 |
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| 12 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 465 |
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| 471 |
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| 472 |
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| 473 |
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| 474 |
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| 475 |
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| 476 |
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| 477 |
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| 478 |
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| 479 |
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| 480 |
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| 481 |
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| 482 |
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| 484 |
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| 485 |
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| 486 |
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|
| 487 |
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|
| 488 |
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|
| 489 |
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|
| 490 |
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|
| 491 |
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|
| 492 |
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|
| 493 |
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|
| 494 |
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|
| 495 |
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|
| 496 |
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|
| 497 |
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|
| 498 |
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|
| 499 |
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|
| 500 |
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|
| 501 |
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|
| 502 |
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|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d140/config.json
ADDED
|
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| 1 |
+
{
|
| 2 |
+
"vae_checkpoint": "vae_checkpoints/celeba_resnet_modernloss_d140/vae.pt",
|
| 3 |
+
"out": "results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d140",
|
| 4 |
+
"subset_path": "diagnostics/celeba_diverse_1k_mean_plus_sd/subset_indices.json",
|
| 5 |
+
"train_tar": "/overflow/data/cerberus/celeba_hq_256_partitioned_ws/train/celeba_hq_256-train-0000.tar",
|
| 6 |
+
"n_train": 1000,
|
| 7 |
+
"total_steps": 5000000,
|
| 8 |
+
"eval_interval": 10000,
|
| 9 |
+
"mem_interval": 100000,
|
| 10 |
+
"fid_interval": 100000,
|
| 11 |
+
"fid_n_real": 1000,
|
| 12 |
+
"fid_n_gen": 10000,
|
| 13 |
+
"n_gen_samples": 10000,
|
| 14 |
+
"n_sde_steps": 500,
|
| 15 |
+
"batch_size": 512,
|
| 16 |
+
"hidden": 1024,
|
| 17 |
+
"depth": 5,
|
| 18 |
+
"optimizer": "sgd",
|
| 19 |
+
"lr": 0.001,
|
| 20 |
+
"momentum": 0.8,
|
| 21 |
+
"t_min": 0.01,
|
| 22 |
+
"t_max": 3.0,
|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
+
"seed": 42,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d140/metrics.jsonl
ADDED
|
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results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d140/runner.log
ADDED
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|
| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 65s | train_loss=0.9987 | fid=310.2640
|
| 3 |
+
step 10000 | 154s | train_loss=0.7602
|
| 4 |
+
step 20000 | 242s | train_loss=0.6316
|
| 5 |
+
step 30000 | 331s | train_loss=0.5189
|
| 6 |
+
step 40000 | 419s | train_loss=0.4167
|
| 7 |
+
step 50000 | 508s | train_loss=0.3335
|
| 8 |
+
step 60000 | 597s | train_loss=0.2694
|
| 9 |
+
step 70000 | 685s | train_loss=0.2268
|
| 10 |
+
step 80000 | 774s | train_loss=0.1883
|
| 11 |
+
step 90000 | 862s | train_loss=0.1648
|
| 12 |
+
step 100000 | 1017s | train_loss=0.1469 | fid=61.5436
|
| 13 |
+
step 110000 | 1102s | train_loss=0.1331
|
| 14 |
+
step 120000 | 1191s | train_loss=0.1250
|
| 15 |
+
step 130000 | 1279s | train_loss=0.1209
|
| 16 |
+
step 140000 | 1367s | train_loss=0.1104
|
| 17 |
+
step 150000 | 1456s | train_loss=0.1026
|
| 18 |
+
step 160000 | 1545s | train_loss=0.1023
|
| 19 |
+
step 170000 | 1633s | train_loss=0.0978
|
| 20 |
+
step 180000 | 1722s | train_loss=0.0929
|
| 21 |
+
step 190000 | 1810s | train_loss=0.0959
|
| 22 |
+
step 200000 | 1965s | train_loss=0.0903 | fid=68.6268
|
| 23 |
+
step 210000 | 2052s | train_loss=0.0851
|
| 24 |
+
step 220000 | 2137s | train_loss=0.0823
|
| 25 |
+
step 230000 | 2225s | train_loss=0.0821
|
| 26 |
+
step 240000 | 2314s | train_loss=0.0805
|
| 27 |
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|
| 28 |
+
step 260000 | 2491s | train_loss=0.0767
|
| 29 |
+
step 270000 | 2579s | train_loss=0.0737
|
| 30 |
+
step 280000 | 2668s | train_loss=0.0727
|
| 31 |
+
step 290000 | 2756s | train_loss=0.0699
|
| 32 |
+
step 300000 | 2912s | train_loss=0.0710 | fid=66.8740
|
| 33 |
+
step 310000 | 2998s | train_loss=0.0697
|
| 34 |
+
step 320000 | 3087s | train_loss=0.0679
|
| 35 |
+
step 330000 | 3171s | train_loss=0.0680
|
| 36 |
+
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|
| 37 |
+
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|
| 38 |
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|
| 39 |
+
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|
| 40 |
+
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|
| 41 |
+
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|
| 42 |
+
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|
| 43 |
+
step 410000 | 3944s | train_loss=0.0594
|
| 44 |
+
step 420000 | 4032s | train_loss=0.0572
|
| 45 |
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|
| 46 |
+
step 440000 | 4205s | train_loss=0.0578
|
| 47 |
+
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|
| 48 |
+
step 460000 | 4382s | train_loss=0.0559
|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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| 140 |
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|
| 141 |
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|
| 142 |
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|
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|
| 418 |
+
step 4160000 | 39399s | train_loss=0.0193
|
| 419 |
+
step 4170000 | 39483s | train_loss=0.0181
|
| 420 |
+
step 4180000 | 39571s | train_loss=0.0158
|
| 421 |
+
step 4190000 | 39660s | train_loss=0.0175
|
| 422 |
+
step 4200000 | 39818s | train_loss=0.0169 | fid=41.4063
|
| 423 |
+
step 4210000 | 39904s | train_loss=0.0172
|
| 424 |
+
step 4220000 | 39991s | train_loss=0.0156
|
| 425 |
+
step 4230000 | 40080s | train_loss=0.0165
|
| 426 |
+
step 4240000 | 40168s | train_loss=0.0164
|
| 427 |
+
step 4250000 | 40257s | train_loss=0.0155
|
| 428 |
+
step 4260000 | 40345s | train_loss=0.0163
|
| 429 |
+
step 4270000 | 40434s | train_loss=0.0159
|
| 430 |
+
step 4280000 | 40518s | train_loss=0.0158
|
| 431 |
+
step 4290000 | 40607s | train_loss=0.0160
|
| 432 |
+
step 4300000 | 40764s | train_loss=0.0159 | fid=40.6833
|
| 433 |
+
step 4310000 | 40851s | train_loss=0.0170
|
| 434 |
+
step 4320000 | 40938s | train_loss=0.0158
|
| 435 |
+
step 4330000 | 41026s | train_loss=0.0172
|
| 436 |
+
step 4340000 | 41115s | train_loss=0.0160
|
| 437 |
+
step 4350000 | 41203s | train_loss=0.0155
|
| 438 |
+
step 4360000 | 41292s | train_loss=0.0149
|
| 439 |
+
step 4370000 | 41381s | train_loss=0.0162
|
| 440 |
+
step 4380000 | 41465s | train_loss=0.0162
|
| 441 |
+
step 4390000 | 41554s | train_loss=0.0159
|
| 442 |
+
step 4400000 | 41712s | train_loss=0.0156 | fid=39.2172
|
| 443 |
+
step 4410000 | 41799s | train_loss=0.0167
|
| 444 |
+
step 4420000 | 41885s | train_loss=0.0154
|
| 445 |
+
step 4430000 | 41974s | train_loss=0.0161
|
| 446 |
+
step 4440000 | 42063s | train_loss=0.0160
|
| 447 |
+
step 4450000 | 42151s | train_loss=0.0176
|
| 448 |
+
step 4460000 | 42240s | train_loss=0.0160
|
| 449 |
+
step 4470000 | 42328s | train_loss=0.0153
|
| 450 |
+
step 4480000 | 42417s | train_loss=0.0158
|
| 451 |
+
step 4490000 | 42502s | train_loss=0.0151
|
| 452 |
+
step 4500000 | 42661s | train_loss=0.0161 | fid=39.6576
|
| 453 |
+
step 4510000 | 42748s | train_loss=0.0177
|
| 454 |
+
step 4520000 | 42835s | train_loss=0.0149
|
| 455 |
+
step 4530000 | 42923s | train_loss=0.0181
|
| 456 |
+
step 4540000 | 43012s | train_loss=0.0158
|
| 457 |
+
step 4550000 | 43100s | train_loss=0.0154
|
| 458 |
+
step 4560000 | 43189s | train_loss=0.0166
|
| 459 |
+
step 4570000 | 43277s | train_loss=0.0193
|
| 460 |
+
step 4580000 | 43366s | train_loss=0.0158
|
| 461 |
+
step 4590000 | 43455s | train_loss=0.0168
|
| 462 |
+
step 4600000 | 43608s | train_loss=0.0153 | fid=38.4480
|
| 463 |
+
step 4610000 | 43695s | train_loss=0.0158
|
| 464 |
+
step 4620000 | 43783s | train_loss=0.0163
|
| 465 |
+
step 4630000 | 43870s | train_loss=0.0153
|
| 466 |
+
step 4640000 | 43958s | train_loss=0.0150
|
| 467 |
+
step 4650000 | 44047s | train_loss=0.0150
|
| 468 |
+
step 4660000 | 44136s | train_loss=0.0161
|
| 469 |
+
step 4670000 | 44224s | train_loss=0.0162
|
| 470 |
+
step 4680000 | 44313s | train_loss=0.0156
|
| 471 |
+
step 4690000 | 44401s | train_loss=0.0151
|
| 472 |
+
step 4700000 | 44555s | train_loss=0.0165 | fid=39.6950
|
| 473 |
+
step 4710000 | 44642s | train_loss=0.0151
|
| 474 |
+
step 4720000 | 44730s | train_loss=0.0146
|
| 475 |
+
step 4730000 | 44817s | train_loss=0.0167
|
| 476 |
+
step 4740000 | 44905s | train_loss=0.0163
|
| 477 |
+
step 4750000 | 44994s | train_loss=0.0176
|
| 478 |
+
step 4760000 | 45083s | train_loss=0.0146
|
| 479 |
+
step 4770000 | 45171s | train_loss=0.0147
|
| 480 |
+
step 4780000 | 45260s | train_loss=0.0158
|
| 481 |
+
step 4790000 | 45348s | train_loss=0.0149
|
| 482 |
+
step 4800000 | 45504s | train_loss=0.0150 | fid=39.7873
|
| 483 |
+
step 4810000 | 45588s | train_loss=0.0158
|
| 484 |
+
step 4820000 | 45677s | train_loss=0.0143
|
| 485 |
+
step 4830000 | 45763s | train_loss=0.0157
|
| 486 |
+
step 4840000 | 45852s | train_loss=0.0156
|
| 487 |
+
step 4850000 | 45940s | train_loss=0.0158
|
| 488 |
+
step 4860000 | 46029s | train_loss=0.0143
|
| 489 |
+
step 4870000 | 46118s | train_loss=0.0155
|
| 490 |
+
step 4880000 | 46206s | train_loss=0.0155
|
| 491 |
+
step 4890000 | 46295s | train_loss=0.0145
|
| 492 |
+
step 4900000 | 46451s | train_loss=0.0151 | fid=40.0185
|
| 493 |
+
step 4910000 | 46533s | train_loss=0.0151
|
| 494 |
+
step 4920000 | 46622s | train_loss=0.0155
|
| 495 |
+
step 4930000 | 46709s | train_loss=0.0177
|
| 496 |
+
step 4940000 | 46798s | train_loss=0.0144
|
| 497 |
+
step 4950000 | 46886s | train_loss=0.0171
|
| 498 |
+
step 4960000 | 46975s | train_loss=0.0146
|
| 499 |
+
step 4970000 | 47064s | train_loss=0.0153
|
| 500 |
+
step 4980000 | 47152s | train_loss=0.0145
|
| 501 |
+
step 4990000 | 47241s | train_loss=0.0143
|
| 502 |
+
step 5000000 | 47400s | train_loss=0.0154 | fid=39.0545
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d160/config.json
ADDED
|
@@ -0,0 +1,26 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"vae_checkpoint": "vae_checkpoints/celeba_resnet_modernloss_d160/vae.pt",
|
| 3 |
+
"out": "results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d160",
|
| 4 |
+
"subset_path": "diagnostics/celeba_diverse_1k_mean_plus_sd/subset_indices.json",
|
| 5 |
+
"train_tar": "/overflow/data/cerberus/celeba_hq_256_partitioned_ws/train/celeba_hq_256-train-0000.tar",
|
| 6 |
+
"n_train": 1000,
|
| 7 |
+
"total_steps": 5000000,
|
| 8 |
+
"eval_interval": 10000,
|
| 9 |
+
"mem_interval": 100000,
|
| 10 |
+
"fid_interval": 100000,
|
| 11 |
+
"fid_n_real": 1000,
|
| 12 |
+
"fid_n_gen": 10000,
|
| 13 |
+
"n_gen_samples": 10000,
|
| 14 |
+
"n_sde_steps": 500,
|
| 15 |
+
"batch_size": 512,
|
| 16 |
+
"hidden": 1024,
|
| 17 |
+
"depth": 5,
|
| 18 |
+
"optimizer": "sgd",
|
| 19 |
+
"lr": 0.001,
|
| 20 |
+
"momentum": 0.8,
|
| 21 |
+
"t_min": 0.01,
|
| 22 |
+
"t_max": 3.0,
|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
+
"seed": 42,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d160/metrics.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
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|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d160/runner.log
ADDED
|
@@ -0,0 +1,502 @@
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| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
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| 477 |
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| 485 |
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| 487 |
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|
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|
| 490 |
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| 491 |
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|
| 494 |
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|
| 495 |
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|
| 496 |
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|
| 497 |
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|
| 498 |
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|
| 499 |
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|
| 500 |
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|
| 501 |
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|
| 502 |
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|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d180/config.json
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| 1 |
+
{
|
| 2 |
+
"vae_checkpoint": "vae_checkpoints/celeba_resnet_modernloss_d180/vae.pt",
|
| 3 |
+
"out": "results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d180",
|
| 4 |
+
"subset_path": "diagnostics/celeba_diverse_1k_mean_plus_sd/subset_indices.json",
|
| 5 |
+
"train_tar": "/overflow/data/cerberus/celeba_hq_256_partitioned_ws/train/celeba_hq_256-train-0000.tar",
|
| 6 |
+
"n_train": 1000,
|
| 7 |
+
"total_steps": 5000000,
|
| 8 |
+
"eval_interval": 10000,
|
| 9 |
+
"mem_interval": 100000,
|
| 10 |
+
"fid_interval": 100000,
|
| 11 |
+
"fid_n_real": 1000,
|
| 12 |
+
"fid_n_gen": 10000,
|
| 13 |
+
"n_gen_samples": 10000,
|
| 14 |
+
"n_sde_steps": 500,
|
| 15 |
+
"batch_size": 512,
|
| 16 |
+
"hidden": 1024,
|
| 17 |
+
"depth": 5,
|
| 18 |
+
"optimizer": "sgd",
|
| 19 |
+
"lr": 0.001,
|
| 20 |
+
"momentum": 0.8,
|
| 21 |
+
"t_min": 0.01,
|
| 22 |
+
"t_max": 3.0,
|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
+
"seed": 42,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d180/metrics.jsonl
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|
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results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d180/runner.log
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|
| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 68s | train_loss=0.9991 | fid=346.9662
|
| 3 |
+
step 10000 | 162s | train_loss=0.6684
|
| 4 |
+
step 20000 | 256s | train_loss=0.5598
|
| 5 |
+
step 30000 | 351s | train_loss=0.4965
|
| 6 |
+
step 40000 | 445s | train_loss=0.4387
|
| 7 |
+
step 50000 | 540s | train_loss=0.3660
|
| 8 |
+
step 60000 | 634s | train_loss=0.2967
|
| 9 |
+
step 70000 | 729s | train_loss=0.2468
|
| 10 |
+
step 80000 | 823s | train_loss=0.2180
|
| 11 |
+
step 90000 | 917s | train_loss=0.1853
|
| 12 |
+
step 100000 | 1076s | train_loss=0.1653 | fid=67.8639
|
| 13 |
+
step 110000 | 1169s | train_loss=0.1534
|
| 14 |
+
step 120000 | 1264s | train_loss=0.1453
|
| 15 |
+
step 130000 | 1358s | train_loss=0.1462
|
| 16 |
+
step 140000 | 1452s | train_loss=0.1231
|
| 17 |
+
step 150000 | 1546s | train_loss=0.1222
|
| 18 |
+
step 160000 | 1641s | train_loss=0.1141
|
| 19 |
+
step 170000 | 1735s | train_loss=0.1171
|
| 20 |
+
step 180000 | 1830s | train_loss=0.1042
|
| 21 |
+
step 190000 | 1924s | train_loss=0.1119
|
| 22 |
+
step 200000 | 2085s | train_loss=0.1009 | fid=80.2556
|
| 23 |
+
step 210000 | 2179s | train_loss=0.0966
|
| 24 |
+
step 220000 | 2273s | train_loss=0.0970
|
| 25 |
+
step 230000 | 2367s | train_loss=0.0929
|
| 26 |
+
step 240000 | 2461s | train_loss=0.0895
|
| 27 |
+
step 250000 | 2555s | train_loss=0.0975
|
| 28 |
+
step 260000 | 2650s | train_loss=0.0897
|
| 29 |
+
step 270000 | 2744s | train_loss=0.0875
|
| 30 |
+
step 280000 | 2839s | train_loss=0.0866
|
| 31 |
+
step 290000 | 2928s | train_loss=0.0864
|
| 32 |
+
step 300000 | 3095s | train_loss=0.0792 | fid=92.3924
|
| 33 |
+
step 310000 | 3188s | train_loss=0.0782
|
| 34 |
+
step 320000 | 3283s | train_loss=0.0820
|
| 35 |
+
step 330000 | 3376s | train_loss=0.0754
|
| 36 |
+
step 340000 | 3471s | train_loss=0.0731
|
| 37 |
+
step 350000 | 3565s | train_loss=0.0723
|
| 38 |
+
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|
| 39 |
+
step 370000 | 3754s | train_loss=0.0708
|
| 40 |
+
step 380000 | 3847s | train_loss=0.0769
|
| 41 |
+
step 390000 | 3935s | train_loss=0.0707
|
| 42 |
+
step 400000 | 4103s | train_loss=0.0689 | fid=107.0084
|
| 43 |
+
step 410000 | 4197s | train_loss=0.0669
|
| 44 |
+
step 420000 | 4291s | train_loss=0.0669
|
| 45 |
+
step 430000 | 4385s | train_loss=0.0682
|
| 46 |
+
step 440000 | 4479s | train_loss=0.0726
|
| 47 |
+
step 450000 | 4573s | train_loss=0.0656
|
| 48 |
+
step 460000 | 4668s | train_loss=0.0655
|
| 49 |
+
step 470000 | 4762s | train_loss=0.0632
|
| 50 |
+
step 480000 | 4852s | train_loss=0.0629
|
| 51 |
+
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|
| 52 |
+
step 500000 | 5113s | train_loss=0.0632 | fid=111.8782
|
| 53 |
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step 510000 | 5207s | train_loss=0.0617
|
| 54 |
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|
| 55 |
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step 530000 | 5395s | train_loss=0.0628
|
| 56 |
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|
| 57 |
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step 550000 | 5584s | train_loss=0.0609
|
| 58 |
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step 560000 | 5678s | train_loss=0.0605
|
| 59 |
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step 570000 | 5768s | train_loss=0.0579
|
| 60 |
+
step 580000 | 5862s | train_loss=0.0578
|
| 61 |
+
step 590000 | 5954s | train_loss=0.0578
|
| 62 |
+
step 600000 | 6122s | train_loss=0.0556 | fid=117.2252
|
| 63 |
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step 610000 | 6216s | train_loss=0.0555
|
| 64 |
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step 620000 | 6310s | train_loss=0.0565
|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 412 |
+
step 4100000 | 41450s | train_loss=0.0200 | fid=56.0015
|
| 413 |
+
step 4110000 | 41541s | train_loss=0.0217
|
| 414 |
+
step 4120000 | 41635s | train_loss=0.0201
|
| 415 |
+
step 4130000 | 41727s | train_loss=0.0206
|
| 416 |
+
step 4140000 | 41820s | train_loss=0.0232
|
| 417 |
+
step 4150000 | 41912s | train_loss=0.0199
|
| 418 |
+
step 4160000 | 42007s | train_loss=0.0211
|
| 419 |
+
step 4170000 | 42101s | train_loss=0.0200
|
| 420 |
+
step 4180000 | 42196s | train_loss=0.0216
|
| 421 |
+
step 4190000 | 42290s | train_loss=0.0196
|
| 422 |
+
step 4200000 | 42460s | train_loss=0.0205 | fid=49.2510
|
| 423 |
+
step 4210000 | 42551s | train_loss=0.0190
|
| 424 |
+
step 4220000 | 42645s | train_loss=0.0202
|
| 425 |
+
step 4230000 | 42735s | train_loss=0.0225
|
| 426 |
+
step 4240000 | 42827s | train_loss=0.0195
|
| 427 |
+
step 4250000 | 42922s | train_loss=0.0190
|
| 428 |
+
step 4260000 | 43016s | train_loss=0.0199
|
| 429 |
+
step 4270000 | 43110s | train_loss=0.0210
|
| 430 |
+
step 4280000 | 43205s | train_loss=0.0206
|
| 431 |
+
step 4290000 | 43299s | train_loss=0.0198
|
| 432 |
+
step 4300000 | 43468s | train_loss=0.0209 | fid=50.0264
|
| 433 |
+
step 4310000 | 43560s | train_loss=0.0195
|
| 434 |
+
step 4320000 | 43651s | train_loss=0.0212
|
| 435 |
+
step 4330000 | 43744s | train_loss=0.0197
|
| 436 |
+
step 4340000 | 43836s | train_loss=0.0188
|
| 437 |
+
step 4350000 | 43930s | train_loss=0.0204
|
| 438 |
+
step 4360000 | 44025s | train_loss=0.0206
|
| 439 |
+
step 4370000 | 44119s | train_loss=0.0200
|
| 440 |
+
step 4380000 | 44214s | train_loss=0.0200
|
| 441 |
+
step 4390000 | 44308s | train_loss=0.0184
|
| 442 |
+
step 4400000 | 44477s | train_loss=0.0191 | fid=49.2860
|
| 443 |
+
step 4410000 | 44568s | train_loss=0.0199
|
| 444 |
+
step 4420000 | 44661s | train_loss=0.0219
|
| 445 |
+
step 4430000 | 44755s | train_loss=0.0192
|
| 446 |
+
step 4440000 | 44848s | train_loss=0.0186
|
| 447 |
+
step 4450000 | 44942s | train_loss=0.0214
|
| 448 |
+
step 4460000 | 45036s | train_loss=0.0186
|
| 449 |
+
step 4470000 | 45131s | train_loss=0.0203
|
| 450 |
+
step 4480000 | 45225s | train_loss=0.0204
|
| 451 |
+
step 4490000 | 45320s | train_loss=0.0189
|
| 452 |
+
step 4500000 | 45490s | train_loss=0.0201 | fid=52.4096
|
| 453 |
+
step 4510000 | 45577s | train_loss=0.0209
|
| 454 |
+
step 4520000 | 45671s | train_loss=0.0194
|
| 455 |
+
step 4530000 | 45764s | train_loss=0.0199
|
| 456 |
+
step 4540000 | 45858s | train_loss=0.0207
|
| 457 |
+
step 4550000 | 45952s | train_loss=0.0192
|
| 458 |
+
step 4560000 | 46047s | train_loss=0.0185
|
| 459 |
+
step 4570000 | 46141s | train_loss=0.0169
|
| 460 |
+
step 4580000 | 46236s | train_loss=0.0193
|
| 461 |
+
step 4590000 | 46330s | train_loss=0.0199
|
| 462 |
+
step 4600000 | 46500s | train_loss=0.0191 | fid=51.1784
|
| 463 |
+
step 4610000 | 46591s | train_loss=0.0194
|
| 464 |
+
step 4620000 | 46686s | train_loss=0.0199
|
| 465 |
+
step 4630000 | 46779s | train_loss=0.0219
|
| 466 |
+
step 4640000 | 46873s | train_loss=0.0219
|
| 467 |
+
step 4650000 | 46968s | train_loss=0.0203
|
| 468 |
+
step 4660000 | 47062s | train_loss=0.0205
|
| 469 |
+
step 4670000 | 47157s | train_loss=0.0205
|
| 470 |
+
step 4680000 | 47251s | train_loss=0.0184
|
| 471 |
+
step 4690000 | 47346s | train_loss=0.0190
|
| 472 |
+
step 4700000 | 47483s | train_loss=0.0197 | fid=51.5955
|
| 473 |
+
step 4710000 | 47537s | train_loss=0.0180
|
| 474 |
+
step 4720000 | 47591s | train_loss=0.0189
|
| 475 |
+
step 4730000 | 47649s | train_loss=0.0187
|
| 476 |
+
step 4740000 | 47707s | train_loss=0.0186
|
| 477 |
+
step 4750000 | 47764s | train_loss=0.0189
|
| 478 |
+
step 4760000 | 47822s | train_loss=0.0182
|
| 479 |
+
step 4770000 | 47880s | train_loss=0.0176
|
| 480 |
+
step 4780000 | 47938s | train_loss=0.0193
|
| 481 |
+
step 4790000 | 47996s | train_loss=0.0201
|
| 482 |
+
step 4800000 | 48105s | train_loss=0.0185 | fid=50.1269
|
| 483 |
+
step 4810000 | 48158s | train_loss=0.0173
|
| 484 |
+
step 4820000 | 48199s | train_loss=0.0195
|
| 485 |
+
step 4830000 | 48239s | train_loss=0.0175
|
| 486 |
+
step 4840000 | 48279s | train_loss=0.0176
|
| 487 |
+
step 4850000 | 48318s | train_loss=0.0177
|
| 488 |
+
step 4860000 | 48357s | train_loss=0.0194
|
| 489 |
+
step 4870000 | 48397s | train_loss=0.0184
|
| 490 |
+
step 4880000 | 48435s | train_loss=0.0166
|
| 491 |
+
step 4890000 | 48475s | train_loss=0.0183
|
| 492 |
+
step 4900000 | 48552s | train_loss=0.0185 | fid=52.4162
|
| 493 |
+
step 4910000 | 48591s | train_loss=0.0182
|
| 494 |
+
step 4920000 | 48630s | train_loss=0.0211
|
| 495 |
+
step 4930000 | 48670s | train_loss=0.0182
|
| 496 |
+
step 4940000 | 48709s | train_loss=0.0216
|
| 497 |
+
step 4950000 | 48749s | train_loss=0.0195
|
| 498 |
+
step 4960000 | 48788s | train_loss=0.0201
|
| 499 |
+
step 4970000 | 48828s | train_loss=0.0184
|
| 500 |
+
step 4980000 | 48867s | train_loss=0.0188
|
| 501 |
+
step 4990000 | 48907s | train_loss=0.0182
|
| 502 |
+
step 5000000 | 48985s | train_loss=0.0192 | fid=52.1886
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d20/config.json
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
+
{
|
| 2 |
+
"vae_checkpoint": "vae_checkpoints/celeba_resnet_modernloss_d20/vae.pt",
|
| 3 |
+
"out": "results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d20",
|
| 4 |
+
"subset_path": "diagnostics/celeba_diverse_1k_mean_plus_sd/subset_indices.json",
|
| 5 |
+
"train_tar": "/overflow/data/cerberus/celeba_hq_256_partitioned_ws/train/celeba_hq_256-train-0000.tar",
|
| 6 |
+
"n_train": 1000,
|
| 7 |
+
"total_steps": 5000000,
|
| 8 |
+
"eval_interval": 10000,
|
| 9 |
+
"mem_interval": 100000,
|
| 10 |
+
"fid_interval": 100000,
|
| 11 |
+
"fid_n_real": 1000,
|
| 12 |
+
"fid_n_gen": 10000,
|
| 13 |
+
"n_gen_samples": 10000,
|
| 14 |
+
"n_sde_steps": 500,
|
| 15 |
+
"batch_size": 512,
|
| 16 |
+
"hidden": 1024,
|
| 17 |
+
"depth": 5,
|
| 18 |
+
"optimizer": "sgd",
|
| 19 |
+
"lr": 0.001,
|
| 20 |
+
"momentum": 0.8,
|
| 21 |
+
"t_min": 0.01,
|
| 22 |
+
"t_max": 3.0,
|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
+
"seed": 42,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d20/metrics.jsonl
ADDED
|
The diff for this file is too large to render.
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|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d20/runner.log
ADDED
|
@@ -0,0 +1,502 @@
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| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 67s | train_loss=0.9905 | fid=225.9377
|
| 3 |
+
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| 4 |
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|
| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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|
| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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|
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| 24 |
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| 490 |
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| 494 |
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|
| 495 |
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|
| 496 |
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|
| 497 |
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|
| 498 |
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|
| 499 |
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|
| 500 |
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|
| 501 |
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|
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|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d200/config.json
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| 1 |
+
{
|
| 2 |
+
"vae_checkpoint": "vae_checkpoints/celeba_resnet_modernloss_d200/vae.pt",
|
| 3 |
+
"out": "results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d200",
|
| 4 |
+
"subset_path": "diagnostics/celeba_diverse_1k_mean_plus_sd/subset_indices.json",
|
| 5 |
+
"train_tar": "/overflow/data/cerberus/celeba_hq_256_partitioned_ws/train/celeba_hq_256-train-0000.tar",
|
| 6 |
+
"n_train": 1000,
|
| 7 |
+
"total_steps": 5000000,
|
| 8 |
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"eval_interval": 10000,
|
| 9 |
+
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|
| 10 |
+
"fid_interval": 100000,
|
| 11 |
+
"fid_n_real": 1000,
|
| 12 |
+
"fid_n_gen": 10000,
|
| 13 |
+
"n_gen_samples": 10000,
|
| 14 |
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"n_sde_steps": 500,
|
| 15 |
+
"batch_size": 512,
|
| 16 |
+
"hidden": 1024,
|
| 17 |
+
"depth": 5,
|
| 18 |
+
"optimizer": "sgd",
|
| 19 |
+
"lr": 0.001,
|
| 20 |
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"momentum": 0.8,
|
| 21 |
+
"t_min": 0.01,
|
| 22 |
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"t_max": 3.0,
|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
+
"seed": 42,
|
| 25 |
+
"device": null
|
| 26 |
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}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d200/metrics.jsonl
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|
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results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d200/runner.log
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|
| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 65s | train_loss=0.9991 | fid=309.2330
|
| 3 |
+
step 10000 | 137s | train_loss=0.6180
|
| 4 |
+
step 20000 | 228s | train_loss=0.5131
|
| 5 |
+
step 30000 | 319s | train_loss=0.4610
|
| 6 |
+
step 40000 | 410s | train_loss=0.4152
|
| 7 |
+
step 50000 | 501s | train_loss=0.3575
|
| 8 |
+
step 60000 | 592s | train_loss=0.3030
|
| 9 |
+
step 70000 | 684s | train_loss=0.2603
|
| 10 |
+
step 80000 | 775s | train_loss=0.2228
|
| 11 |
+
step 90000 | 866s | train_loss=0.2000
|
| 12 |
+
step 100000 | 1024s | train_loss=0.1809 | fid=66.5456
|
| 13 |
+
step 110000 | 1111s | train_loss=0.1639
|
| 14 |
+
step 120000 | 1203s | train_loss=0.1546
|
| 15 |
+
step 130000 | 1293s | train_loss=0.1419
|
| 16 |
+
step 140000 | 1384s | train_loss=0.1371
|
| 17 |
+
step 150000 | 1476s | train_loss=0.1286
|
| 18 |
+
step 160000 | 1567s | train_loss=0.1245
|
| 19 |
+
step 170000 | 1658s | train_loss=0.1254
|
| 20 |
+
step 180000 | 1749s | train_loss=0.1124
|
| 21 |
+
step 190000 | 1840s | train_loss=0.1124
|
| 22 |
+
step 200000 | 1996s | train_loss=0.1096 | fid=75.2916
|
| 23 |
+
step 210000 | 2087s | train_loss=0.1039
|
| 24 |
+
step 220000 | 2175s | train_loss=0.1027
|
| 25 |
+
step 230000 | 2266s | train_loss=0.1001
|
| 26 |
+
step 240000 | 2357s | train_loss=0.0968
|
| 27 |
+
step 250000 | 2448s | train_loss=0.0973
|
| 28 |
+
step 260000 | 2539s | train_loss=0.0951
|
| 29 |
+
step 270000 | 2630s | train_loss=0.0912
|
| 30 |
+
step 280000 | 2721s | train_loss=0.0872
|
| 31 |
+
step 290000 | 2812s | train_loss=0.0933
|
| 32 |
+
step 300000 | 2969s | train_loss=0.0861 | fid=85.1393
|
| 33 |
+
step 310000 | 3060s | train_loss=0.0873
|
| 34 |
+
step 320000 | 3147s | train_loss=0.0838
|
| 35 |
+
step 330000 | 3238s | train_loss=0.0808
|
| 36 |
+
step 340000 | 3329s | train_loss=0.0805
|
| 37 |
+
step 350000 | 3420s | train_loss=0.0778
|
| 38 |
+
step 360000 | 3511s | train_loss=0.0786
|
| 39 |
+
step 370000 | 3602s | train_loss=0.0758
|
| 40 |
+
step 380000 | 3693s | train_loss=0.0802
|
| 41 |
+
step 390000 | 3784s | train_loss=0.0759
|
| 42 |
+
step 400000 | 3940s | train_loss=0.0739 | fid=90.5859
|
| 43 |
+
step 410000 | 4032s | train_loss=0.0713
|
| 44 |
+
step 420000 | 4119s | train_loss=0.0698
|
| 45 |
+
step 430000 | 4210s | train_loss=0.0720
|
| 46 |
+
step 440000 | 4301s | train_loss=0.0717
|
| 47 |
+
step 450000 | 4392s | train_loss=0.0715
|
| 48 |
+
step 460000 | 4483s | train_loss=0.0727
|
| 49 |
+
step 470000 | 4574s | train_loss=0.0670
|
| 50 |
+
step 480000 | 4665s | train_loss=0.0672
|
| 51 |
+
step 490000 | 4756s | train_loss=0.0696
|
| 52 |
+
step 500000 | 4913s | train_loss=0.0684 | fid=96.5825
|
| 53 |
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step 510000 | 5004s | train_loss=0.0682
|
| 54 |
+
step 520000 | 5096s | train_loss=0.0634
|
| 55 |
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step 530000 | 5182s | train_loss=0.0678
|
| 56 |
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step 540000 | 5273s | train_loss=0.0647
|
| 57 |
+
step 550000 | 5364s | train_loss=0.0638
|
| 58 |
+
step 560000 | 5455s | train_loss=0.0656
|
| 59 |
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step 570000 | 5546s | train_loss=0.0604
|
| 60 |
+
step 580000 | 5637s | train_loss=0.0635
|
| 61 |
+
step 590000 | 5728s | train_loss=0.0614
|
| 62 |
+
step 600000 | 5885s | train_loss=0.0580 | fid=103.1025
|
| 63 |
+
step 610000 | 5976s | train_loss=0.0604
|
| 64 |
+
step 620000 | 6067s | train_loss=0.0628
|
| 65 |
+
step 630000 | 6154s | train_loss=0.0588
|
| 66 |
+
step 640000 | 6245s | train_loss=0.0580
|
| 67 |
+
step 650000 | 6336s | train_loss=0.0586
|
| 68 |
+
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|
| 69 |
+
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|
| 70 |
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|
| 71 |
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|
| 72 |
+
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
+
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|
| 83 |
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|
| 84 |
+
step 820000 | 8009s | train_loss=0.0546
|
| 85 |
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|
| 86 |
+
step 840000 | 8188s | train_loss=0.0494
|
| 87 |
+
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|
| 88 |
+
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|
| 89 |
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|
| 90 |
+
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|
| 91 |
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step 890000 | 8639s | train_loss=0.0504
|
| 92 |
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step 900000 | 8799s | train_loss=0.0516 | fid=86.9620
|
| 93 |
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step 910000 | 8890s | train_loss=0.0471
|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
+
step 1000000 | 9772s | train_loss=0.0454 | fid=85.9270
|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
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step 4030000 | 39218s | train_loss=0.0222
|
| 406 |
+
step 4040000 | 39309s | train_loss=0.0221
|
| 407 |
+
step 4050000 | 39400s | train_loss=0.0235
|
| 408 |
+
step 4060000 | 39487s | train_loss=0.0239
|
| 409 |
+
step 4070000 | 39578s | train_loss=0.0229
|
| 410 |
+
step 4080000 | 39669s | train_loss=0.0219
|
| 411 |
+
step 4090000 | 39760s | train_loss=0.0220
|
| 412 |
+
step 4100000 | 39916s | train_loss=0.0216 | fid=49.7605
|
| 413 |
+
step 4110000 | 40007s | train_loss=0.0230
|
| 414 |
+
step 4120000 | 40098s | train_loss=0.0217
|
| 415 |
+
step 4130000 | 40189s | train_loss=0.0218
|
| 416 |
+
step 4140000 | 40280s | train_loss=0.0234
|
| 417 |
+
step 4150000 | 40371s | train_loss=0.0218
|
| 418 |
+
step 4160000 | 40458s | train_loss=0.0238
|
| 419 |
+
step 4170000 | 40549s | train_loss=0.0224
|
| 420 |
+
step 4180000 | 40640s | train_loss=0.0235
|
| 421 |
+
step 4190000 | 40731s | train_loss=0.0207
|
| 422 |
+
step 4200000 | 40886s | train_loss=0.0229 | fid=54.3718
|
| 423 |
+
step 4210000 | 40977s | train_loss=0.0216
|
| 424 |
+
step 4220000 | 41068s | train_loss=0.0227
|
| 425 |
+
step 4230000 | 41159s | train_loss=0.0242
|
| 426 |
+
step 4240000 | 41250s | train_loss=0.0212
|
| 427 |
+
step 4250000 | 41341s | train_loss=0.0211
|
| 428 |
+
step 4260000 | 41433s | train_loss=0.0223
|
| 429 |
+
step 4270000 | 41519s | train_loss=0.0224
|
| 430 |
+
step 4280000 | 41610s | train_loss=0.0223
|
| 431 |
+
step 4290000 | 41701s | train_loss=0.0210
|
| 432 |
+
step 4300000 | 41857s | train_loss=0.0222 | fid=50.5967
|
| 433 |
+
step 4310000 | 41948s | train_loss=0.0215
|
| 434 |
+
step 4320000 | 42039s | train_loss=0.0230
|
| 435 |
+
step 4330000 | 42130s | train_loss=0.0207
|
| 436 |
+
step 4340000 | 42221s | train_loss=0.0217
|
| 437 |
+
step 4350000 | 42313s | train_loss=0.0214
|
| 438 |
+
step 4360000 | 42404s | train_loss=0.0214
|
| 439 |
+
step 4370000 | 42492s | train_loss=0.0222
|
| 440 |
+
step 4380000 | 42583s | train_loss=0.0217
|
| 441 |
+
step 4390000 | 42671s | train_loss=0.0210
|
| 442 |
+
step 4400000 | 42829s | train_loss=0.0213 | fid=53.6237
|
| 443 |
+
step 4410000 | 42920s | train_loss=0.0206
|
| 444 |
+
step 4420000 | 43011s | train_loss=0.0231
|
| 445 |
+
step 4430000 | 43102s | train_loss=0.0210
|
| 446 |
+
step 4440000 | 43193s | train_loss=0.0206
|
| 447 |
+
step 4450000 | 43284s | train_loss=0.0232
|
| 448 |
+
step 4460000 | 43375s | train_loss=0.0206
|
| 449 |
+
step 4470000 | 43467s | train_loss=0.0226
|
| 450 |
+
step 4480000 | 43554s | train_loss=0.0221
|
| 451 |
+
step 4490000 | 43643s | train_loss=0.0209
|
| 452 |
+
step 4500000 | 43801s | train_loss=0.0216 | fid=52.9946
|
| 453 |
+
step 4510000 | 43892s | train_loss=0.0210
|
| 454 |
+
step 4520000 | 43983s | train_loss=0.0209
|
| 455 |
+
step 4530000 | 44074s | train_loss=0.0214
|
| 456 |
+
step 4540000 | 44165s | train_loss=0.0217
|
| 457 |
+
step 4550000 | 44256s | train_loss=0.0210
|
| 458 |
+
step 4560000 | 44347s | train_loss=0.0198
|
| 459 |
+
step 4570000 | 44439s | train_loss=0.0194
|
| 460 |
+
step 4580000 | 44527s | train_loss=0.0214
|
| 461 |
+
step 4590000 | 44614s | train_loss=0.0204
|
| 462 |
+
step 4600000 | 44774s | train_loss=0.0206 | fid=51.8797
|
| 463 |
+
step 4610000 | 44865s | train_loss=0.0209
|
| 464 |
+
step 4620000 | 44956s | train_loss=0.0199
|
| 465 |
+
step 4630000 | 45047s | train_loss=0.0218
|
| 466 |
+
step 4640000 | 45138s | train_loss=0.0240
|
| 467 |
+
step 4650000 | 45229s | train_loss=0.0225
|
| 468 |
+
step 4660000 | 45321s | train_loss=0.0222
|
| 469 |
+
step 4670000 | 45412s | train_loss=0.0220
|
| 470 |
+
step 4680000 | 45501s | train_loss=0.0197
|
| 471 |
+
step 4690000 | 45585s | train_loss=0.0200
|
| 472 |
+
step 4700000 | 45745s | train_loss=0.0212 | fid=53.3237
|
| 473 |
+
step 4710000 | 45836s | train_loss=0.0203
|
| 474 |
+
step 4720000 | 45927s | train_loss=0.0201
|
| 475 |
+
step 4730000 | 46018s | train_loss=0.0214
|
| 476 |
+
step 4740000 | 46109s | train_loss=0.0198
|
| 477 |
+
step 4750000 | 46201s | train_loss=0.0193
|
| 478 |
+
step 4760000 | 46292s | train_loss=0.0203
|
| 479 |
+
step 4770000 | 46383s | train_loss=0.0193
|
| 480 |
+
step 4780000 | 46473s | train_loss=0.0215
|
| 481 |
+
step 4790000 | 46557s | train_loss=0.0214
|
| 482 |
+
step 4800000 | 46716s | train_loss=0.0200 | fid=54.3551
|
| 483 |
+
step 4810000 | 46807s | train_loss=0.0203
|
| 484 |
+
step 4820000 | 46898s | train_loss=0.0205
|
| 485 |
+
step 4830000 | 46989s | train_loss=0.0185
|
| 486 |
+
step 4840000 | 47080s | train_loss=0.0187
|
| 487 |
+
step 4850000 | 47172s | train_loss=0.0199
|
| 488 |
+
step 4860000 | 47263s | train_loss=0.0220
|
| 489 |
+
step 4870000 | 47354s | train_loss=0.0211
|
| 490 |
+
step 4880000 | 47436s | train_loss=0.0200
|
| 491 |
+
step 4890000 | 47489s | train_loss=0.0200
|
| 492 |
+
step 4900000 | 47586s | train_loss=0.0207 | fid=53.3152
|
| 493 |
+
step 4910000 | 47642s | train_loss=0.0206
|
| 494 |
+
step 4920000 | 47697s | train_loss=0.0222
|
| 495 |
+
step 4930000 | 47753s | train_loss=0.0199
|
| 496 |
+
step 4940000 | 47809s | train_loss=0.0217
|
| 497 |
+
step 4950000 | 47865s | train_loss=0.0206
|
| 498 |
+
step 4960000 | 47920s | train_loss=0.0217
|
| 499 |
+
step 4970000 | 47976s | train_loss=0.0197
|
| 500 |
+
step 4980000 | 48032s | train_loss=0.0199
|
| 501 |
+
step 4990000 | 48088s | train_loss=0.0193
|
| 502 |
+
step 5000000 | 48176s | train_loss=0.0219 | fid=57.4913
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d30/config.json
ADDED
|
@@ -0,0 +1,26 @@
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| 1 |
+
{
|
| 2 |
+
"vae_checkpoint": "vae_checkpoints/celeba_resnet_modernloss_d30/vae.pt",
|
| 3 |
+
"out": "results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d30",
|
| 4 |
+
"subset_path": "diagnostics/celeba_diverse_1k_mean_plus_sd/subset_indices.json",
|
| 5 |
+
"train_tar": "/overflow/data/cerberus/celeba_hq_256_partitioned_ws/train/celeba_hq_256-train-0000.tar",
|
| 6 |
+
"n_train": 1000,
|
| 7 |
+
"total_steps": 5000000,
|
| 8 |
+
"eval_interval": 10000,
|
| 9 |
+
"mem_interval": 100000,
|
| 10 |
+
"fid_interval": 100000,
|
| 11 |
+
"fid_n_real": 1000,
|
| 12 |
+
"fid_n_gen": 10000,
|
| 13 |
+
"n_gen_samples": 10000,
|
| 14 |
+
"n_sde_steps": 500,
|
| 15 |
+
"batch_size": 512,
|
| 16 |
+
"hidden": 1024,
|
| 17 |
+
"depth": 5,
|
| 18 |
+
"optimizer": "sgd",
|
| 19 |
+
"lr": 0.001,
|
| 20 |
+
"momentum": 0.8,
|
| 21 |
+
"t_min": 0.01,
|
| 22 |
+
"t_max": 3.0,
|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
+
"seed": 42,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d30/metrics.jsonl
ADDED
|
The diff for this file is too large to render.
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|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d30/runner.log
ADDED
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@@ -0,0 +1,502 @@
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| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 67s | train_loss=0.9884 | fid=247.6490
|
| 3 |
+
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
+
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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| 15 |
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| 16 |
+
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| 17 |
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| 18 |
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|
| 19 |
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| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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| 29 |
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|
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| 36 |
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| 37 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 44 |
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|
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|
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| 497 |
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|
| 498 |
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|
| 499 |
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|
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|
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|
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|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d40/config.json
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| 1 |
+
{
|
| 2 |
+
"vae_checkpoint": "vae_checkpoints/celeba_resnet_modernloss_d40/vae.pt",
|
| 3 |
+
"out": "results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d40",
|
| 4 |
+
"subset_path": "diagnostics/celeba_diverse_1k_mean_plus_sd/subset_indices.json",
|
| 5 |
+
"train_tar": "/overflow/data/cerberus/celeba_hq_256_partitioned_ws/train/celeba_hq_256-train-0000.tar",
|
| 6 |
+
"n_train": 1000,
|
| 7 |
+
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|
| 8 |
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|
| 9 |
+
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|
| 10 |
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"fid_interval": 100000,
|
| 11 |
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"fid_n_real": 1000,
|
| 12 |
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"fid_n_gen": 10000,
|
| 13 |
+
"n_gen_samples": 10000,
|
| 14 |
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"n_sde_steps": 500,
|
| 15 |
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"batch_size": 512,
|
| 16 |
+
"hidden": 1024,
|
| 17 |
+
"depth": 5,
|
| 18 |
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"optimizer": "sgd",
|
| 19 |
+
"lr": 0.001,
|
| 20 |
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"momentum": 0.8,
|
| 21 |
+
"t_min": 0.01,
|
| 22 |
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|
| 23 |
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"t_eval": 0.1,
|
| 24 |
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"seed": 42,
|
| 25 |
+
"device": null
|
| 26 |
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}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d40/metrics.jsonl
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|
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results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d40/runner.log
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|
| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 66s | train_loss=0.9905 | fid=276.9747
|
| 3 |
+
step 10000 | 149s | train_loss=0.8507
|
| 4 |
+
step 20000 | 234s | train_loss=0.8227
|
| 5 |
+
step 30000 | 318s | train_loss=0.7673
|
| 6 |
+
step 40000 | 403s | train_loss=0.6815
|
| 7 |
+
step 50000 | 487s | train_loss=0.5504
|
| 8 |
+
step 60000 | 572s | train_loss=0.4021
|
| 9 |
+
step 70000 | 657s | train_loss=0.2963
|
| 10 |
+
step 80000 | 741s | train_loss=0.2316
|
| 11 |
+
step 90000 | 826s | train_loss=0.1958
|
| 12 |
+
step 100000 | 975s | train_loss=0.1728 | fid=59.5879
|
| 13 |
+
step 110000 | 1054s | train_loss=0.1560
|
| 14 |
+
step 120000 | 1138s | train_loss=0.1435
|
| 15 |
+
step 130000 | 1222s | train_loss=0.1332
|
| 16 |
+
step 140000 | 1307s | train_loss=0.1237
|
| 17 |
+
step 150000 | 1391s | train_loss=0.1167
|
| 18 |
+
step 160000 | 1475s | train_loss=0.1123
|
| 19 |
+
step 170000 | 1560s | train_loss=0.1053
|
| 20 |
+
step 180000 | 1644s | train_loss=0.1014
|
| 21 |
+
step 190000 | 1728s | train_loss=0.0970
|
| 22 |
+
step 200000 | 1876s | train_loss=0.0931 | fid=58.1435
|
| 23 |
+
step 210000 | 1955s | train_loss=0.0890
|
| 24 |
+
step 220000 | 2038s | train_loss=0.0865
|
| 25 |
+
step 230000 | 2123s | train_loss=0.0839
|
| 26 |
+
step 240000 | 2207s | train_loss=0.0806
|
| 27 |
+
step 250000 | 2292s | train_loss=0.0789
|
| 28 |
+
step 260000 | 2376s | train_loss=0.0761
|
| 29 |
+
step 270000 | 2460s | train_loss=0.0738
|
| 30 |
+
step 280000 | 2545s | train_loss=0.0728
|
| 31 |
+
step 290000 | 2629s | train_loss=0.0699
|
| 32 |
+
step 300000 | 2777s | train_loss=0.0691 | fid=58.4042
|
| 33 |
+
step 310000 | 2858s | train_loss=0.0672
|
| 34 |
+
step 320000 | 2940s | train_loss=0.0652
|
| 35 |
+
step 330000 | 3023s | train_loss=0.0644
|
| 36 |
+
step 340000 | 3107s | train_loss=0.0619
|
| 37 |
+
step 350000 | 3192s | train_loss=0.0612
|
| 38 |
+
step 360000 | 3276s | train_loss=0.0612
|
| 39 |
+
step 370000 | 3361s | train_loss=0.0590
|
| 40 |
+
step 380000 | 3446s | train_loss=0.0579
|
| 41 |
+
step 390000 | 3530s | train_loss=0.0567
|
| 42 |
+
step 400000 | 3677s | train_loss=0.0545 | fid=56.0015
|
| 43 |
+
step 410000 | 3759s | train_loss=0.0544
|
| 44 |
+
step 420000 | 3840s | train_loss=0.0533
|
| 45 |
+
step 430000 | 3925s | train_loss=0.0528
|
| 46 |
+
step 440000 | 4008s | train_loss=0.0523
|
| 47 |
+
step 450000 | 4092s | train_loss=0.0509
|
| 48 |
+
step 460000 | 4177s | train_loss=0.0500
|
| 49 |
+
step 470000 | 4261s | train_loss=0.0493
|
| 50 |
+
step 480000 | 4346s | train_loss=0.0494
|
| 51 |
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|
| 52 |
+
step 500000 | 4579s | train_loss=0.0475 | fid=55.8934
|
| 53 |
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step 510000 | 4660s | train_loss=0.0470
|
| 54 |
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|
| 55 |
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|
| 56 |
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step 540000 | 4912s | train_loss=0.0450
|
| 57 |
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|
| 58 |
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step 560000 | 5079s | train_loss=0.0441
|
| 59 |
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|
| 60 |
+
step 580000 | 5248s | train_loss=0.0435
|
| 61 |
+
step 590000 | 5333s | train_loss=0.0432
|
| 62 |
+
step 600000 | 5481s | train_loss=0.0417 | fid=54.6378
|
| 63 |
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step 610000 | 5563s | train_loss=0.0421
|
| 64 |
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|
| 65 |
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step 630000 | 5729s | train_loss=0.0408
|
| 66 |
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step 640000 | 5814s | train_loss=0.0410
|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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step 1000000 | 9084s | train_loss=0.0310 | fid=52.2989
|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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step 3980000 | 35457s | train_loss=0.0111
|
| 401 |
+
step 3990000 | 35542s | train_loss=0.0103
|
| 402 |
+
step 4000000 | 35691s | train_loss=0.0105 | fid=51.1100
|
| 403 |
+
step 4010000 | 35775s | train_loss=0.0106
|
| 404 |
+
step 4020000 | 35860s | train_loss=0.0103
|
| 405 |
+
step 4030000 | 35929s | train_loss=0.0107
|
| 406 |
+
step 4040000 | 36005s | train_loss=0.0108
|
| 407 |
+
step 4050000 | 36089s | train_loss=0.0105
|
| 408 |
+
step 4060000 | 36174s | train_loss=0.0107
|
| 409 |
+
step 4070000 | 36258s | train_loss=0.0105
|
| 410 |
+
step 4080000 | 36332s | train_loss=0.0103
|
| 411 |
+
step 4090000 | 36416s | train_loss=0.0102
|
| 412 |
+
step 4100000 | 36564s | train_loss=0.0108 | fid=51.4610
|
| 413 |
+
step 4110000 | 36648s | train_loss=0.0102
|
| 414 |
+
step 4120000 | 36733s | train_loss=0.0102
|
| 415 |
+
step 4130000 | 36817s | train_loss=0.0100
|
| 416 |
+
step 4140000 | 36882s | train_loss=0.0101
|
| 417 |
+
step 4150000 | 36961s | train_loss=0.0104
|
| 418 |
+
step 4160000 | 37045s | train_loss=0.0104
|
| 419 |
+
step 4170000 | 37130s | train_loss=0.0106
|
| 420 |
+
step 4180000 | 37210s | train_loss=0.0101
|
| 421 |
+
step 4190000 | 37294s | train_loss=0.0099
|
| 422 |
+
step 4200000 | 37444s | train_loss=0.0100 | fid=52.0313
|
| 423 |
+
step 4210000 | 37527s | train_loss=0.0101
|
| 424 |
+
step 4220000 | 37612s | train_loss=0.0107
|
| 425 |
+
step 4230000 | 37696s | train_loss=0.0101
|
| 426 |
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step 4240000 | 37781s | train_loss=0.0106
|
| 427 |
+
step 4250000 | 37858s | train_loss=0.0104
|
| 428 |
+
step 4260000 | 37943s | train_loss=0.0100
|
| 429 |
+
step 4270000 | 38027s | train_loss=0.0102
|
| 430 |
+
step 4280000 | 38109s | train_loss=0.0103
|
| 431 |
+
step 4290000 | 38193s | train_loss=0.0102
|
| 432 |
+
step 4300000 | 38343s | train_loss=0.0098 | fid=51.4589
|
| 433 |
+
step 4310000 | 38428s | train_loss=0.0109
|
| 434 |
+
step 4320000 | 38510s | train_loss=0.0098
|
| 435 |
+
step 4330000 | 38595s | train_loss=0.0096
|
| 436 |
+
step 4340000 | 38679s | train_loss=0.0097
|
| 437 |
+
step 4350000 | 38758s | train_loss=0.0102
|
| 438 |
+
step 4360000 | 38842s | train_loss=0.0102
|
| 439 |
+
step 4370000 | 38927s | train_loss=0.0097
|
| 440 |
+
step 4380000 | 39009s | train_loss=0.0100
|
| 441 |
+
step 4390000 | 39091s | train_loss=0.0098
|
| 442 |
+
step 4400000 | 39241s | train_loss=0.0099 | fid=52.2776
|
| 443 |
+
step 4410000 | 39325s | train_loss=0.0096
|
| 444 |
+
step 4420000 | 39410s | train_loss=0.0094
|
| 445 |
+
step 4430000 | 39493s | train_loss=0.0104
|
| 446 |
+
step 4440000 | 39577s | train_loss=0.0096
|
| 447 |
+
step 4450000 | 39659s | train_loss=0.0102
|
| 448 |
+
step 4460000 | 39740s | train_loss=0.0098
|
| 449 |
+
step 4470000 | 39825s | train_loss=0.0097
|
| 450 |
+
step 4480000 | 39909s | train_loss=0.0097
|
| 451 |
+
step 4490000 | 39991s | train_loss=0.0092
|
| 452 |
+
step 4500000 | 40141s | train_loss=0.0092 | fid=51.5826
|
| 453 |
+
step 4510000 | 40225s | train_loss=0.0101
|
| 454 |
+
step 4520000 | 40310s | train_loss=0.0099
|
| 455 |
+
step 4530000 | 40394s | train_loss=0.0091
|
| 456 |
+
step 4540000 | 40477s | train_loss=0.0094
|
| 457 |
+
step 4550000 | 40556s | train_loss=0.0097
|
| 458 |
+
step 4560000 | 40624s | train_loss=0.0100
|
| 459 |
+
step 4570000 | 40700s | train_loss=0.0094
|
| 460 |
+
step 4580000 | 40785s | train_loss=0.0092
|
| 461 |
+
step 4590000 | 40861s | train_loss=0.0093
|
| 462 |
+
step 4600000 | 41011s | train_loss=0.0095 | fid=52.7279
|
| 463 |
+
step 4610000 | 41096s | train_loss=0.0095
|
| 464 |
+
step 4620000 | 41180s | train_loss=0.0094
|
| 465 |
+
step 4630000 | 41265s | train_loss=0.0097
|
| 466 |
+
step 4640000 | 41348s | train_loss=0.0100
|
| 467 |
+
step 4650000 | 41432s | train_loss=0.0096
|
| 468 |
+
step 4660000 | 41509s | train_loss=0.0093
|
| 469 |
+
step 4670000 | 41586s | train_loss=0.0092
|
| 470 |
+
step 4680000 | 41659s | train_loss=0.0090
|
| 471 |
+
step 4690000 | 41733s | train_loss=0.0091
|
| 472 |
+
step 4700000 | 41884s | train_loss=0.0089 | fid=51.1982
|
| 473 |
+
step 4710000 | 41968s | train_loss=0.0089
|
| 474 |
+
step 4720000 | 42053s | train_loss=0.0089
|
| 475 |
+
step 4730000 | 42137s | train_loss=0.0090
|
| 476 |
+
step 4740000 | 42222s | train_loss=0.0091
|
| 477 |
+
step 4750000 | 42305s | train_loss=0.0091
|
| 478 |
+
step 4760000 | 42389s | train_loss=0.0089
|
| 479 |
+
step 4770000 | 42459s | train_loss=0.0095
|
| 480 |
+
step 4780000 | 42543s | train_loss=0.0091
|
| 481 |
+
step 4790000 | 42612s | train_loss=0.0091
|
| 482 |
+
step 4800000 | 42751s | train_loss=0.0092 | fid=52.3092
|
| 483 |
+
step 4810000 | 42836s | train_loss=0.0091
|
| 484 |
+
step 4820000 | 42920s | train_loss=0.0092
|
| 485 |
+
step 4830000 | 43005s | train_loss=0.0094
|
| 486 |
+
step 4840000 | 43089s | train_loss=0.0091
|
| 487 |
+
step 4850000 | 43174s | train_loss=0.0090
|
| 488 |
+
step 4860000 | 43257s | train_loss=0.0095
|
| 489 |
+
step 4870000 | 43340s | train_loss=0.0087
|
| 490 |
+
step 4880000 | 43412s | train_loss=0.0090
|
| 491 |
+
step 4890000 | 43494s | train_loss=0.0086
|
| 492 |
+
step 4900000 | 43620s | train_loss=0.0087 | fid=52.0171
|
| 493 |
+
step 4910000 | 43704s | train_loss=0.0093
|
| 494 |
+
step 4920000 | 43789s | train_loss=0.0088
|
| 495 |
+
step 4930000 | 43873s | train_loss=0.0088
|
| 496 |
+
step 4940000 | 43958s | train_loss=0.0087
|
| 497 |
+
step 4950000 | 44042s | train_loss=0.0090
|
| 498 |
+
step 4960000 | 44127s | train_loss=0.0089
|
| 499 |
+
step 4970000 | 44209s | train_loss=0.0086
|
| 500 |
+
step 4980000 | 44289s | train_loss=0.0093
|
| 501 |
+
step 4990000 | 44367s | train_loss=0.0089
|
| 502 |
+
step 5000000 | 44496s | train_loss=0.0088 | fid=52.3520
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d50/config.json
ADDED
|
@@ -0,0 +1,26 @@
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| 1 |
+
{
|
| 2 |
+
"vae_checkpoint": "vae_checkpoints/celeba_resnet_modernloss_d50/vae.pt",
|
| 3 |
+
"out": "results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d50",
|
| 4 |
+
"subset_path": "diagnostics/celeba_diverse_1k_mean_plus_sd/subset_indices.json",
|
| 5 |
+
"train_tar": "/overflow/data/cerberus/celeba_hq_256_partitioned_ws/train/celeba_hq_256-train-0000.tar",
|
| 6 |
+
"n_train": 1000,
|
| 7 |
+
"total_steps": 5000000,
|
| 8 |
+
"eval_interval": 10000,
|
| 9 |
+
"mem_interval": 100000,
|
| 10 |
+
"fid_interval": 100000,
|
| 11 |
+
"fid_n_real": 1000,
|
| 12 |
+
"fid_n_gen": 10000,
|
| 13 |
+
"n_gen_samples": 10000,
|
| 14 |
+
"n_sde_steps": 500,
|
| 15 |
+
"batch_size": 512,
|
| 16 |
+
"hidden": 1024,
|
| 17 |
+
"depth": 5,
|
| 18 |
+
"optimizer": "sgd",
|
| 19 |
+
"lr": 0.001,
|
| 20 |
+
"momentum": 0.8,
|
| 21 |
+
"t_min": 0.01,
|
| 22 |
+
"t_max": 3.0,
|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
+
"seed": 42,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d50/metrics.jsonl
ADDED
|
The diff for this file is too large to render.
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|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d50/runner.log
ADDED
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@@ -0,0 +1,502 @@
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| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 68s | train_loss=0.9919 | fid=246.7101
|
| 3 |
+
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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| 24 |
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| 28 |
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| 29 |
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| 32 |
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|
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| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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| 39 |
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| 40 |
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| 42 |
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| 43 |
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| 44 |
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| 48 |
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| 490 |
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| 495 |
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|
| 496 |
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|
| 497 |
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|
| 498 |
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|
| 499 |
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|
| 500 |
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|
| 501 |
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|
| 502 |
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step 5000000 | 45676s | train_loss=0.0087 | fid=46.8034
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d60/config.json
ADDED
|
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| 1 |
+
{
|
| 2 |
+
"vae_checkpoint": "vae_checkpoints/celeba_resnet_modernloss_d60/vae.pt",
|
| 3 |
+
"out": "results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d60",
|
| 4 |
+
"subset_path": "diagnostics/celeba_diverse_1k_mean_plus_sd/subset_indices.json",
|
| 5 |
+
"train_tar": "/overflow/data/cerberus/celeba_hq_256_partitioned_ws/train/celeba_hq_256-train-0000.tar",
|
| 6 |
+
"n_train": 1000,
|
| 7 |
+
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|
| 8 |
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|
| 9 |
+
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|
| 10 |
+
"fid_interval": 100000,
|
| 11 |
+
"fid_n_real": 1000,
|
| 12 |
+
"fid_n_gen": 10000,
|
| 13 |
+
"n_gen_samples": 10000,
|
| 14 |
+
"n_sde_steps": 500,
|
| 15 |
+
"batch_size": 512,
|
| 16 |
+
"hidden": 1024,
|
| 17 |
+
"depth": 5,
|
| 18 |
+
"optimizer": "sgd",
|
| 19 |
+
"lr": 0.001,
|
| 20 |
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"momentum": 0.8,
|
| 21 |
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|
| 22 |
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|
| 23 |
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"t_eval": 0.1,
|
| 24 |
+
"seed": 42,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d60/metrics.jsonl
ADDED
|
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results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d60/runner.log
ADDED
|
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|
| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 73s | train_loss=0.9958 | fid=302.5537
|
| 3 |
+
step 10000 | 166s | train_loss=0.8357
|
| 4 |
+
step 20000 | 260s | train_loss=0.7573
|
| 5 |
+
step 30000 | 353s | train_loss=0.6506
|
| 6 |
+
step 40000 | 447s | train_loss=0.4970
|
| 7 |
+
step 50000 | 540s | train_loss=0.3423
|
| 8 |
+
step 60000 | 634s | train_loss=0.2424
|
| 9 |
+
step 70000 | 727s | train_loss=0.1903
|
| 10 |
+
step 80000 | 821s | train_loss=0.1640
|
| 11 |
+
step 90000 | 914s | train_loss=0.1470
|
| 12 |
+
step 100000 | 1075s | train_loss=0.1350 | fid=56.3475
|
| 13 |
+
step 110000 | 1167s | train_loss=0.1267
|
| 14 |
+
step 120000 | 1260s | train_loss=0.1167
|
| 15 |
+
step 130000 | 1354s | train_loss=0.1126
|
| 16 |
+
step 140000 | 1447s | train_loss=0.1074
|
| 17 |
+
step 150000 | 1541s | train_loss=0.1021
|
| 18 |
+
step 160000 | 1634s | train_loss=0.0975
|
| 19 |
+
step 170000 | 1728s | train_loss=0.0946
|
| 20 |
+
step 180000 | 1821s | train_loss=0.0902
|
| 21 |
+
step 190000 | 1914s | train_loss=0.0865
|
| 22 |
+
step 200000 | 2075s | train_loss=0.0855 | fid=55.2112
|
| 23 |
+
step 210000 | 2167s | train_loss=0.0817
|
| 24 |
+
step 220000 | 2260s | train_loss=0.0796
|
| 25 |
+
step 230000 | 2354s | train_loss=0.0762
|
| 26 |
+
step 240000 | 2447s | train_loss=0.0751
|
| 27 |
+
step 250000 | 2541s | train_loss=0.0717
|
| 28 |
+
step 260000 | 2634s | train_loss=0.0716
|
| 29 |
+
step 270000 | 2728s | train_loss=0.0695
|
| 30 |
+
step 280000 | 2821s | train_loss=0.0681
|
| 31 |
+
step 290000 | 2909s | train_loss=0.0667
|
| 32 |
+
step 300000 | 3075s | train_loss=0.0648 | fid=53.2192
|
| 33 |
+
step 310000 | 3167s | train_loss=0.0630
|
| 34 |
+
step 320000 | 3261s | train_loss=0.0625
|
| 35 |
+
step 330000 | 3354s | train_loss=0.0612
|
| 36 |
+
step 340000 | 3448s | train_loss=0.0598
|
| 37 |
+
step 350000 | 3541s | train_loss=0.0589
|
| 38 |
+
step 360000 | 3635s | train_loss=0.0578
|
| 39 |
+
step 370000 | 3728s | train_loss=0.0564
|
| 40 |
+
step 380000 | 3818s | train_loss=0.0559
|
| 41 |
+
step 390000 | 3910s | train_loss=0.0560
|
| 42 |
+
step 400000 | 4074s | train_loss=0.0541 | fid=51.1340
|
| 43 |
+
step 410000 | 4166s | train_loss=0.0531
|
| 44 |
+
step 420000 | 4260s | train_loss=0.0526
|
| 45 |
+
step 430000 | 4353s | train_loss=0.0511
|
| 46 |
+
step 440000 | 4447s | train_loss=0.0519
|
| 47 |
+
step 450000 | 4541s | train_loss=0.0504
|
| 48 |
+
step 460000 | 4634s | train_loss=0.0498
|
| 49 |
+
step 470000 | 4728s | train_loss=0.0498
|
| 50 |
+
step 480000 | 4816s | train_loss=0.0487
|
| 51 |
+
step 490000 | 4910s | train_loss=0.0494
|
| 52 |
+
step 500000 | 5076s | train_loss=0.0468 | fid=49.9115
|
| 53 |
+
step 510000 | 5168s | train_loss=0.0467
|
| 54 |
+
step 520000 | 5261s | train_loss=0.0463
|
| 55 |
+
step 530000 | 5355s | train_loss=0.0461
|
| 56 |
+
step 540000 | 5449s | train_loss=0.0450
|
| 57 |
+
step 550000 | 5542s | train_loss=0.0448
|
| 58 |
+
step 560000 | 5636s | train_loss=0.0454
|
| 59 |
+
step 570000 | 5723s | train_loss=0.0442
|
| 60 |
+
step 580000 | 5817s | train_loss=0.0443
|
| 61 |
+
step 590000 | 5911s | train_loss=0.0435
|
| 62 |
+
step 600000 | 6076s | train_loss=0.0430 | fid=49.5294
|
| 63 |
+
step 610000 | 6168s | train_loss=0.0423
|
| 64 |
+
step 620000 | 6262s | train_loss=0.0431
|
| 65 |
+
step 630000 | 6355s | train_loss=0.0420
|
| 66 |
+
step 640000 | 6448s | train_loss=0.0415
|
| 67 |
+
step 650000 | 6542s | train_loss=0.0411
|
| 68 |
+
step 660000 | 6633s | train_loss=0.0409
|
| 69 |
+
step 670000 | 6724s | train_loss=0.0410
|
| 70 |
+
step 680000 | 6817s | train_loss=0.0405
|
| 71 |
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step 690000 | 6910s | train_loss=0.0391
|
| 72 |
+
step 700000 | 7076s | train_loss=0.0392 | fid=48.5091
|
| 73 |
+
step 710000 | 7170s | train_loss=0.0386
|
| 74 |
+
step 720000 | 7262s | train_loss=0.0385
|
| 75 |
+
step 730000 | 7355s | train_loss=0.0389
|
| 76 |
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step 740000 | 7448s | train_loss=0.0380
|
| 77 |
+
step 750000 | 7541s | train_loss=0.0380
|
| 78 |
+
step 760000 | 7630s | train_loss=0.0373
|
| 79 |
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step 770000 | 7724s | train_loss=0.0375
|
| 80 |
+
step 780000 | 7817s | train_loss=0.0373
|
| 81 |
+
step 790000 | 7911s | train_loss=0.0361
|
| 82 |
+
step 800000 | 8077s | train_loss=0.0364 | fid=46.9388
|
| 83 |
+
step 810000 | 8171s | train_loss=0.0360
|
| 84 |
+
step 820000 | 8263s | train_loss=0.0357
|
| 85 |
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step 830000 | 8356s | train_loss=0.0353
|
| 86 |
+
step 840000 | 8450s | train_loss=0.0351
|
| 87 |
+
step 850000 | 8538s | train_loss=0.0349
|
| 88 |
+
step 860000 | 8631s | train_loss=0.0348
|
| 89 |
+
step 870000 | 8724s | train_loss=0.0352
|
| 90 |
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step 880000 | 8818s | train_loss=0.0339
|
| 91 |
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step 890000 | 8912s | train_loss=0.0341
|
| 92 |
+
step 900000 | 9077s | train_loss=0.0342 | fid=46.0678
|
| 93 |
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step 910000 | 9170s | train_loss=0.0338
|
| 94 |
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step 920000 | 9263s | train_loss=0.0336
|
| 95 |
+
step 930000 | 9357s | train_loss=0.0335
|
| 96 |
+
step 940000 | 9447s | train_loss=0.0330
|
| 97 |
+
step 950000 | 9538s | train_loss=0.0331
|
| 98 |
+
step 960000 | 9631s | train_loss=0.0332
|
| 99 |
+
step 970000 | 9725s | train_loss=0.0321
|
| 100 |
+
step 980000 | 9818s | train_loss=0.0320
|
| 101 |
+
step 990000 | 9912s | train_loss=0.0327
|
| 102 |
+
step 1000000 | 10078s | train_loss=0.0315 | fid=47.0841
|
| 103 |
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step 1010000 | 10171s | train_loss=0.0318
|
| 104 |
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step 1020000 | 10263s | train_loss=0.0309
|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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step 1100000 | 11078s | train_loss=0.0303 | fid=46.0613
|
| 113 |
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step 1110000 | 11172s | train_loss=0.0302
|
| 114 |
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|
| 115 |
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step 1130000 | 11352s | train_loss=0.0286
|
| 116 |
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|
| 117 |
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|
| 118 |
+
step 1160000 | 11633s | train_loss=0.0286
|
| 119 |
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| 394 |
+
step 3920000 | 38931s | train_loss=0.0120
|
| 395 |
+
step 3930000 | 39024s | train_loss=0.0108
|
| 396 |
+
step 3940000 | 39118s | train_loss=0.0104
|
| 397 |
+
step 3950000 | 39209s | train_loss=0.0105
|
| 398 |
+
step 3960000 | 39302s | train_loss=0.0103
|
| 399 |
+
step 3970000 | 39394s | train_loss=0.0109
|
| 400 |
+
step 3980000 | 39488s | train_loss=0.0105
|
| 401 |
+
step 3990000 | 39580s | train_loss=0.0101
|
| 402 |
+
step 4000000 | 39746s | train_loss=0.0101 | fid=43.8741
|
| 403 |
+
step 4010000 | 39839s | train_loss=0.0100
|
| 404 |
+
step 4020000 | 39929s | train_loss=0.0099
|
| 405 |
+
step 4030000 | 40023s | train_loss=0.0104
|
| 406 |
+
step 4040000 | 40114s | train_loss=0.0104
|
| 407 |
+
step 4050000 | 40207s | train_loss=0.0102
|
| 408 |
+
step 4060000 | 40301s | train_loss=0.0100
|
| 409 |
+
step 4070000 | 40393s | train_loss=0.0100
|
| 410 |
+
step 4080000 | 40486s | train_loss=0.0100
|
| 411 |
+
step 4090000 | 40578s | train_loss=0.0100
|
| 412 |
+
step 4100000 | 40746s | train_loss=0.0109 | fid=44.5205
|
| 413 |
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step 4110000 | 40830s | train_loss=0.0103
|
| 414 |
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step 4120000 | 40923s | train_loss=0.0099
|
| 415 |
+
step 4130000 | 41013s | train_loss=0.0106
|
| 416 |
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step 4140000 | 41096s | train_loss=0.0099
|
| 417 |
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step 4150000 | 41190s | train_loss=0.0104
|
| 418 |
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step 4160000 | 41283s | train_loss=0.0103
|
| 419 |
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step 4170000 | 41376s | train_loss=0.0098
|
| 420 |
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step 4180000 | 41469s | train_loss=0.0098
|
| 421 |
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step 4190000 | 41561s | train_loss=0.0096
|
| 422 |
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step 4200000 | 41728s | train_loss=0.0099 | fid=44.7562
|
| 423 |
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step 4210000 | 41808s | train_loss=0.0099
|
| 424 |
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step 4220000 | 41901s | train_loss=0.0101
|
| 425 |
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step 4230000 | 41990s | train_loss=0.0096
|
| 426 |
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step 4240000 | 42073s | train_loss=0.0101
|
| 427 |
+
step 4250000 | 42167s | train_loss=0.0100
|
| 428 |
+
step 4260000 | 42261s | train_loss=0.0100
|
| 429 |
+
step 4270000 | 42354s | train_loss=0.0101
|
| 430 |
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step 4280000 | 42447s | train_loss=0.0099
|
| 431 |
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step 4290000 | 42538s | train_loss=0.0098
|
| 432 |
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step 4300000 | 42704s | train_loss=0.0098 | fid=43.8175
|
| 433 |
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step 4310000 | 42785s | train_loss=0.0102
|
| 434 |
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step 4320000 | 42878s | train_loss=0.0099
|
| 435 |
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step 4330000 | 42967s | train_loss=0.0098
|
| 436 |
+
step 4340000 | 43052s | train_loss=0.0097
|
| 437 |
+
step 4350000 | 43146s | train_loss=0.0101
|
| 438 |
+
step 4360000 | 43239s | train_loss=0.0093
|
| 439 |
+
step 4370000 | 43333s | train_loss=0.0098
|
| 440 |
+
step 4380000 | 43424s | train_loss=0.0096
|
| 441 |
+
step 4390000 | 43516s | train_loss=0.0098
|
| 442 |
+
step 4400000 | 43683s | train_loss=0.0098 | fid=44.5436
|
| 443 |
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step 4410000 | 43763s | train_loss=0.0093
|
| 444 |
+
step 4420000 | 43856s | train_loss=0.0096
|
| 445 |
+
step 4430000 | 43944s | train_loss=0.0098
|
| 446 |
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step 4440000 | 44031s | train_loss=0.0095
|
| 447 |
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step 4450000 | 44125s | train_loss=0.0099
|
| 448 |
+
step 4460000 | 44218s | train_loss=0.0097
|
| 449 |
+
step 4470000 | 44311s | train_loss=0.0100
|
| 450 |
+
step 4480000 | 44403s | train_loss=0.0099
|
| 451 |
+
step 4490000 | 44494s | train_loss=0.0093
|
| 452 |
+
step 4500000 | 44661s | train_loss=0.0093 | fid=44.2214
|
| 453 |
+
step 4510000 | 44740s | train_loss=0.0100
|
| 454 |
+
step 4520000 | 44833s | train_loss=0.0095
|
| 455 |
+
step 4530000 | 44918s | train_loss=0.0092
|
| 456 |
+
step 4540000 | 45009s | train_loss=0.0098
|
| 457 |
+
step 4550000 | 45102s | train_loss=0.0091
|
| 458 |
+
step 4560000 | 45195s | train_loss=0.0092
|
| 459 |
+
step 4570000 | 45289s | train_loss=0.0093
|
| 460 |
+
step 4580000 | 45381s | train_loss=0.0091
|
| 461 |
+
step 4590000 | 45473s | train_loss=0.0092
|
| 462 |
+
step 4600000 | 45639s | train_loss=0.0100 | fid=43.9772
|
| 463 |
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step 4610000 | 45729s | train_loss=0.0091
|
| 464 |
+
step 4620000 | 45822s | train_loss=0.0093
|
| 465 |
+
step 4630000 | 45914s | train_loss=0.0093
|
| 466 |
+
step 4640000 | 46007s | train_loss=0.0092
|
| 467 |
+
step 4650000 | 46101s | train_loss=0.0092
|
| 468 |
+
step 4660000 | 46195s | train_loss=0.0092
|
| 469 |
+
step 4670000 | 46289s | train_loss=0.0092
|
| 470 |
+
step 4680000 | 46382s | train_loss=0.0088
|
| 471 |
+
step 4690000 | 46474s | train_loss=0.0094
|
| 472 |
+
step 4700000 | 46639s | train_loss=0.0089 | fid=44.3874
|
| 473 |
+
step 4710000 | 46733s | train_loss=0.0086
|
| 474 |
+
step 4720000 | 46825s | train_loss=0.0094
|
| 475 |
+
step 4730000 | 46919s | train_loss=0.0094
|
| 476 |
+
step 4740000 | 47013s | train_loss=0.0090
|
| 477 |
+
step 4750000 | 47107s | train_loss=0.0088
|
| 478 |
+
step 4760000 | 47200s | train_loss=0.0086
|
| 479 |
+
step 4770000 | 47294s | train_loss=0.0089
|
| 480 |
+
step 4780000 | 47387s | train_loss=0.0088
|
| 481 |
+
step 4790000 | 47479s | train_loss=0.0090
|
| 482 |
+
step 4800000 | 47623s | train_loss=0.0089 | fid=44.0962
|
| 483 |
+
step 4810000 | 47698s | train_loss=0.0088
|
| 484 |
+
step 4820000 | 47756s | train_loss=0.0089
|
| 485 |
+
step 4830000 | 47814s | train_loss=0.0088
|
| 486 |
+
step 4840000 | 47872s | train_loss=0.0093
|
| 487 |
+
step 4850000 | 47930s | train_loss=0.0094
|
| 488 |
+
step 4860000 | 47988s | train_loss=0.0094
|
| 489 |
+
step 4870000 | 48046s | train_loss=0.0090
|
| 490 |
+
step 4880000 | 48102s | train_loss=0.0084
|
| 491 |
+
step 4890000 | 48156s | train_loss=0.0084
|
| 492 |
+
step 4900000 | 48265s | train_loss=0.0090 | fid=44.1033
|
| 493 |
+
step 4910000 | 48323s | train_loss=0.0088
|
| 494 |
+
step 4920000 | 48381s | train_loss=0.0090
|
| 495 |
+
step 4930000 | 48439s | train_loss=0.0086
|
| 496 |
+
step 4940000 | 48497s | train_loss=0.0089
|
| 497 |
+
step 4950000 | 48555s | train_loss=0.0094
|
| 498 |
+
step 4960000 | 48613s | train_loss=0.0088
|
| 499 |
+
step 4970000 | 48671s | train_loss=0.0082
|
| 500 |
+
step 4980000 | 48726s | train_loss=0.0093
|
| 501 |
+
step 4990000 | 48764s | train_loss=0.0089
|
| 502 |
+
step 5000000 | 48841s | train_loss=0.0089 | fid=44.3534
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d70/config.json
ADDED
|
@@ -0,0 +1,26 @@
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| 1 |
+
{
|
| 2 |
+
"vae_checkpoint": "vae_checkpoints/celeba_resnet_modernloss_d70/vae.pt",
|
| 3 |
+
"out": "results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d70",
|
| 4 |
+
"subset_path": "diagnostics/celeba_diverse_1k_mean_plus_sd/subset_indices.json",
|
| 5 |
+
"train_tar": "/overflow/data/cerberus/celeba_hq_256_partitioned_ws/train/celeba_hq_256-train-0000.tar",
|
| 6 |
+
"n_train": 1000,
|
| 7 |
+
"total_steps": 5000000,
|
| 8 |
+
"eval_interval": 10000,
|
| 9 |
+
"mem_interval": 100000,
|
| 10 |
+
"fid_interval": 100000,
|
| 11 |
+
"fid_n_real": 1000,
|
| 12 |
+
"fid_n_gen": 10000,
|
| 13 |
+
"n_gen_samples": 10000,
|
| 14 |
+
"n_sde_steps": 500,
|
| 15 |
+
"batch_size": 512,
|
| 16 |
+
"hidden": 1024,
|
| 17 |
+
"depth": 5,
|
| 18 |
+
"optimizer": "sgd",
|
| 19 |
+
"lr": 0.001,
|
| 20 |
+
"momentum": 0.8,
|
| 21 |
+
"t_min": 0.01,
|
| 22 |
+
"t_max": 3.0,
|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
+
"seed": 42,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d70/metrics.jsonl
ADDED
|
The diff for this file is too large to render.
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|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d70/runner.log
ADDED
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@@ -0,0 +1,502 @@
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| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 68s | train_loss=0.9935 | fid=281.8394
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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|
| 21 |
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| 22 |
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|
| 23 |
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|
| 24 |
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| 28 |
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| 29 |
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| 32 |
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|
| 33 |
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| 34 |
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|
| 35 |
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| 36 |
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| 39 |
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| 42 |
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| 43 |
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| 498 |
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| 499 |
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| 500 |
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|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d80/config.json
ADDED
|
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| 1 |
+
{
|
| 2 |
+
"vae_checkpoint": "vae_checkpoints/celeba_resnet_modernloss_d80/vae.pt",
|
| 3 |
+
"out": "results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d80",
|
| 4 |
+
"subset_path": "diagnostics/celeba_diverse_1k_mean_plus_sd/subset_indices.json",
|
| 5 |
+
"train_tar": "/overflow/data/cerberus/celeba_hq_256_partitioned_ws/train/celeba_hq_256-train-0000.tar",
|
| 6 |
+
"n_train": 1000,
|
| 7 |
+
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|
| 8 |
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|
| 9 |
+
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|
| 10 |
+
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|
| 11 |
+
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|
| 12 |
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"fid_n_gen": 10000,
|
| 13 |
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"n_gen_samples": 10000,
|
| 14 |
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"n_sde_steps": 500,
|
| 15 |
+
"batch_size": 512,
|
| 16 |
+
"hidden": 1024,
|
| 17 |
+
"depth": 5,
|
| 18 |
+
"optimizer": "sgd",
|
| 19 |
+
"lr": 0.001,
|
| 20 |
+
"momentum": 0.8,
|
| 21 |
+
"t_min": 0.01,
|
| 22 |
+
"t_max": 3.0,
|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
+
"seed": 42,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d80/metrics.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d80/runner.log
ADDED
|
@@ -0,0 +1,502 @@
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|
| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 72s | train_loss=0.9937 | fid=273.5214
|
| 3 |
+
step 10000 | 165s | train_loss=0.8201
|
| 4 |
+
step 20000 | 258s | train_loss=0.7163
|
| 5 |
+
step 30000 | 350s | train_loss=0.5850
|
| 6 |
+
step 40000 | 443s | train_loss=0.4292
|
| 7 |
+
step 50000 | 536s | train_loss=0.2958
|
| 8 |
+
step 60000 | 629s | train_loss=0.2170
|
| 9 |
+
step 70000 | 722s | train_loss=0.1758
|
| 10 |
+
step 80000 | 815s | train_loss=0.1524
|
| 11 |
+
step 90000 | 908s | train_loss=0.1384
|
| 12 |
+
step 100000 | 1069s | train_loss=0.1251 | fid=55.9376
|
| 13 |
+
step 110000 | 1158s | train_loss=0.1197
|
| 14 |
+
step 120000 | 1251s | train_loss=0.1130
|
| 15 |
+
step 130000 | 1344s | train_loss=0.1094
|
| 16 |
+
step 140000 | 1437s | train_loss=0.1047
|
| 17 |
+
step 150000 | 1530s | train_loss=0.0991
|
| 18 |
+
step 160000 | 1623s | train_loss=0.0965
|
| 19 |
+
step 170000 | 1716s | train_loss=0.0918
|
| 20 |
+
step 180000 | 1809s | train_loss=0.0887
|
| 21 |
+
step 190000 | 1902s | train_loss=0.0848
|
| 22 |
+
step 200000 | 2062s | train_loss=0.0831 | fid=54.4494
|
| 23 |
+
step 210000 | 2152s | train_loss=0.0803
|
| 24 |
+
step 220000 | 2245s | train_loss=0.0808
|
| 25 |
+
step 230000 | 2338s | train_loss=0.0767
|
| 26 |
+
step 240000 | 2431s | train_loss=0.0759
|
| 27 |
+
step 250000 | 2525s | train_loss=0.0733
|
| 28 |
+
step 260000 | 2618s | train_loss=0.0726
|
| 29 |
+
step 270000 | 2711s | train_loss=0.0704
|
| 30 |
+
step 280000 | 2804s | train_loss=0.0691
|
| 31 |
+
step 290000 | 2892s | train_loss=0.0665
|
| 32 |
+
step 300000 | 3058s | train_loss=0.0653 | fid=52.6953
|
| 33 |
+
step 310000 | 3148s | train_loss=0.0649
|
| 34 |
+
step 320000 | 3242s | train_loss=0.0631
|
| 35 |
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step 330000 | 3335s | train_loss=0.0619
|
| 36 |
+
step 340000 | 3428s | train_loss=0.0608
|
| 37 |
+
step 350000 | 3521s | train_loss=0.0610
|
| 38 |
+
step 360000 | 3614s | train_loss=0.0599
|
| 39 |
+
step 370000 | 3707s | train_loss=0.0576
|
| 40 |
+
step 380000 | 3799s | train_loss=0.0571
|
| 41 |
+
step 390000 | 3888s | train_loss=0.0570
|
| 42 |
+
step 400000 | 4055s | train_loss=0.0562 | fid=51.2644
|
| 43 |
+
step 410000 | 4145s | train_loss=0.0562
|
| 44 |
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step 420000 | 4238s | train_loss=0.0550
|
| 45 |
+
step 430000 | 4332s | train_loss=0.0543
|
| 46 |
+
step 440000 | 4425s | train_loss=0.0535
|
| 47 |
+
step 450000 | 4518s | train_loss=0.0536
|
| 48 |
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step 460000 | 4611s | train_loss=0.0518
|
| 49 |
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step 470000 | 4703s | train_loss=0.0511
|
| 50 |
+
step 480000 | 4791s | train_loss=0.0507
|
| 51 |
+
step 490000 | 4884s | train_loss=0.0505
|
| 52 |
+
step 500000 | 5051s | train_loss=0.0505 | fid=49.5847
|
| 53 |
+
step 510000 | 5143s | train_loss=0.0491
|
| 54 |
+
step 520000 | 5234s | train_loss=0.0487
|
| 55 |
+
step 530000 | 5327s | train_loss=0.0491
|
| 56 |
+
step 540000 | 5420s | train_loss=0.0486
|
| 57 |
+
step 550000 | 5513s | train_loss=0.0488
|
| 58 |
+
step 560000 | 5606s | train_loss=0.0473
|
| 59 |
+
step 570000 | 5696s | train_loss=0.0479
|
| 60 |
+
step 580000 | 5786s | train_loss=0.0467
|
| 61 |
+
step 590000 | 5880s | train_loss=0.0460
|
| 62 |
+
step 600000 | 6047s | train_loss=0.0454 | fid=48.3462
|
| 63 |
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step 610000 | 6138s | train_loss=0.0455
|
| 64 |
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step 620000 | 6230s | train_loss=0.0456
|
| 65 |
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step 630000 | 6323s | train_loss=0.0435
|
| 66 |
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step 640000 | 6416s | train_loss=0.0452
|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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step 680000 | 6783s | train_loss=0.0439
|
| 71 |
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step 690000 | 6876s | train_loss=0.0422
|
| 72 |
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step 700000 | 7043s | train_loss=0.0426 | fid=47.0411
|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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step 770000 | 7685s | train_loss=0.0400
|
| 80 |
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step 780000 | 7778s | train_loss=0.0403
|
| 81 |
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step 790000 | 7871s | train_loss=0.0400
|
| 82 |
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step 800000 | 8037s | train_loss=0.0388 | fid=46.2259
|
| 83 |
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step 810000 | 8128s | train_loss=0.0386
|
| 84 |
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step 820000 | 8220s | train_loss=0.0389
|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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step 860000 | 8586s | train_loss=0.0378
|
| 89 |
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step 870000 | 8679s | train_loss=0.0382
|
| 90 |
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step 880000 | 8772s | train_loss=0.0375
|
| 91 |
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step 890000 | 8865s | train_loss=0.0369
|
| 92 |
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step 900000 | 9032s | train_loss=0.0369 | fid=45.9883
|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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step 1000000 | 10026s | train_loss=0.0345 | fid=44.5569
|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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| 389 |
+
step 3870000 | 38213s | train_loss=0.0126
|
| 390 |
+
step 3880000 | 38306s | train_loss=0.0131
|
| 391 |
+
step 3890000 | 38397s | train_loss=0.0127
|
| 392 |
+
step 3900000 | 38564s | train_loss=0.0127 | fid=39.8657
|
| 393 |
+
step 3910000 | 38657s | train_loss=0.0126
|
| 394 |
+
step 3920000 | 38749s | train_loss=0.0125
|
| 395 |
+
step 3930000 | 38842s | train_loss=0.0124
|
| 396 |
+
step 3940000 | 38927s | train_loss=0.0122
|
| 397 |
+
step 3950000 | 39019s | train_loss=0.0122
|
| 398 |
+
step 3960000 | 39112s | train_loss=0.0122
|
| 399 |
+
step 3970000 | 39202s | train_loss=0.0134
|
| 400 |
+
step 3980000 | 39296s | train_loss=0.0125
|
| 401 |
+
step 3990000 | 39387s | train_loss=0.0127
|
| 402 |
+
step 4000000 | 39554s | train_loss=0.0125 | fid=39.1661
|
| 403 |
+
step 4010000 | 39647s | train_loss=0.0122
|
| 404 |
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step 4020000 | 39740s | train_loss=0.0122
|
| 405 |
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step 4030000 | 39831s | train_loss=0.0126
|
| 406 |
+
step 4040000 | 39920s | train_loss=0.0128
|
| 407 |
+
step 4050000 | 40013s | train_loss=0.0123
|
| 408 |
+
step 4060000 | 40103s | train_loss=0.0121
|
| 409 |
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step 4070000 | 40196s | train_loss=0.0125
|
| 410 |
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step 4080000 | 40289s | train_loss=0.0120
|
| 411 |
+
step 4090000 | 40381s | train_loss=0.0122
|
| 412 |
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step 4100000 | 40548s | train_loss=0.0128 | fid=38.7626
|
| 413 |
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step 4110000 | 40641s | train_loss=0.0121
|
| 414 |
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step 4120000 | 40735s | train_loss=0.0119
|
| 415 |
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step 4130000 | 40819s | train_loss=0.0123
|
| 416 |
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step 4140000 | 40909s | train_loss=0.0121
|
| 417 |
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step 4150000 | 41001s | train_loss=0.0126
|
| 418 |
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step 4160000 | 41082s | train_loss=0.0119
|
| 419 |
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step 4170000 | 41175s | train_loss=0.0120
|
| 420 |
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step 4180000 | 41268s | train_loss=0.0117
|
| 421 |
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step 4190000 | 41360s | train_loss=0.0118
|
| 422 |
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step 4200000 | 41526s | train_loss=0.0121 | fid=39.6039
|
| 423 |
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step 4210000 | 41619s | train_loss=0.0117
|
| 424 |
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step 4220000 | 41712s | train_loss=0.0115
|
| 425 |
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step 4230000 | 41793s | train_loss=0.0118
|
| 426 |
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step 4240000 | 41883s | train_loss=0.0120
|
| 427 |
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step 4250000 | 41975s | train_loss=0.0127
|
| 428 |
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step 4260000 | 42054s | train_loss=0.0122
|
| 429 |
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step 4270000 | 42147s | train_loss=0.0119
|
| 430 |
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step 4280000 | 42240s | train_loss=0.0114
|
| 431 |
+
step 4290000 | 42334s | train_loss=0.0123
|
| 432 |
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step 4300000 | 42498s | train_loss=0.0120 | fid=39.5039
|
| 433 |
+
step 4310000 | 42591s | train_loss=0.0126
|
| 434 |
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step 4320000 | 42684s | train_loss=0.0112
|
| 435 |
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step 4330000 | 42764s | train_loss=0.0110
|
| 436 |
+
step 4340000 | 42855s | train_loss=0.0121
|
| 437 |
+
step 4350000 | 42948s | train_loss=0.0125
|
| 438 |
+
step 4360000 | 43028s | train_loss=0.0113
|
| 439 |
+
step 4370000 | 43121s | train_loss=0.0119
|
| 440 |
+
step 4380000 | 43214s | train_loss=0.0118
|
| 441 |
+
step 4390000 | 43307s | train_loss=0.0117
|
| 442 |
+
step 4400000 | 43472s | train_loss=0.0117 | fid=39.1011
|
| 443 |
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step 4410000 | 43565s | train_loss=0.0111
|
| 444 |
+
step 4420000 | 43658s | train_loss=0.0117
|
| 445 |
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step 4430000 | 43738s | train_loss=0.0114
|
| 446 |
+
step 4440000 | 43829s | train_loss=0.0114
|
| 447 |
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step 4450000 | 43922s | train_loss=0.0121
|
| 448 |
+
step 4460000 | 44003s | train_loss=0.0116
|
| 449 |
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step 4470000 | 44096s | train_loss=0.0112
|
| 450 |
+
step 4480000 | 44189s | train_loss=0.0111
|
| 451 |
+
step 4490000 | 44282s | train_loss=0.0111
|
| 452 |
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step 4500000 | 44446s | train_loss=0.0114 | fid=39.4032
|
| 453 |
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step 4510000 | 44539s | train_loss=0.0119
|
| 454 |
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step 4520000 | 44632s | train_loss=0.0118
|
| 455 |
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step 4530000 | 44712s | train_loss=0.0111
|
| 456 |
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step 4540000 | 44802s | train_loss=0.0113
|
| 457 |
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step 4550000 | 44893s | train_loss=0.0109
|
| 458 |
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step 4560000 | 44976s | train_loss=0.0121
|
| 459 |
+
step 4570000 | 45069s | train_loss=0.0117
|
| 460 |
+
step 4580000 | 45162s | train_loss=0.0112
|
| 461 |
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step 4590000 | 45254s | train_loss=0.0112
|
| 462 |
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step 4600000 | 45420s | train_loss=0.0117 | fid=39.7570
|
| 463 |
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step 4610000 | 45513s | train_loss=0.0115
|
| 464 |
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step 4620000 | 45606s | train_loss=0.0114
|
| 465 |
+
step 4630000 | 45695s | train_loss=0.0112
|
| 466 |
+
step 4640000 | 45788s | train_loss=0.0114
|
| 467 |
+
step 4650000 | 45879s | train_loss=0.0111
|
| 468 |
+
step 4660000 | 45972s | train_loss=0.0114
|
| 469 |
+
step 4670000 | 46065s | train_loss=0.0106
|
| 470 |
+
step 4680000 | 46158s | train_loss=0.0107
|
| 471 |
+
step 4690000 | 46251s | train_loss=0.0110
|
| 472 |
+
step 4700000 | 46416s | train_loss=0.0110 | fid=39.7827
|
| 473 |
+
step 4710000 | 46509s | train_loss=0.0108
|
| 474 |
+
step 4720000 | 46601s | train_loss=0.0119
|
| 475 |
+
step 4730000 | 46692s | train_loss=0.0115
|
| 476 |
+
step 4740000 | 46785s | train_loss=0.0108
|
| 477 |
+
step 4750000 | 46877s | train_loss=0.0106
|
| 478 |
+
step 4760000 | 46970s | train_loss=0.0109
|
| 479 |
+
step 4770000 | 47063s | train_loss=0.0107
|
| 480 |
+
step 4780000 | 47155s | train_loss=0.0110
|
| 481 |
+
step 4790000 | 47249s | train_loss=0.0105
|
| 482 |
+
step 4800000 | 47414s | train_loss=0.0107 | fid=40.0854
|
| 483 |
+
step 4810000 | 47508s | train_loss=0.0108
|
| 484 |
+
step 4820000 | 47585s | train_loss=0.0108
|
| 485 |
+
step 4830000 | 47658s | train_loss=0.0106
|
| 486 |
+
step 4840000 | 47724s | train_loss=0.0114
|
| 487 |
+
step 4850000 | 47782s | train_loss=0.0108
|
| 488 |
+
step 4860000 | 47839s | train_loss=0.0113
|
| 489 |
+
step 4870000 | 47897s | train_loss=0.0114
|
| 490 |
+
step 4880000 | 47954s | train_loss=0.0108
|
| 491 |
+
step 4890000 | 48012s | train_loss=0.0100
|
| 492 |
+
step 4900000 | 48115s | train_loss=0.0105 | fid=38.8438
|
| 493 |
+
step 4910000 | 48172s | train_loss=0.0109
|
| 494 |
+
step 4920000 | 48230s | train_loss=0.0107
|
| 495 |
+
step 4930000 | 48283s | train_loss=0.0108
|
| 496 |
+
step 4940000 | 48341s | train_loss=0.0103
|
| 497 |
+
step 4950000 | 48398s | train_loss=0.0109
|
| 498 |
+
step 4960000 | 48456s | train_loss=0.0109
|
| 499 |
+
step 4970000 | 48513s | train_loss=0.0104
|
| 500 |
+
step 4980000 | 48571s | train_loss=0.0107
|
| 501 |
+
step 4990000 | 48628s | train_loss=0.0106
|
| 502 |
+
step 5000000 | 48732s | train_loss=0.0110 | fid=39.6805
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d90/config.json
ADDED
|
@@ -0,0 +1,26 @@
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| 1 |
+
{
|
| 2 |
+
"vae_checkpoint": "vae_checkpoints/celeba_resnet_modernloss_d90/vae.pt",
|
| 3 |
+
"out": "results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d90",
|
| 4 |
+
"subset_path": "diagnostics/celeba_diverse_1k_mean_plus_sd/subset_indices.json",
|
| 5 |
+
"train_tar": "/overflow/data/cerberus/celeba_hq_256_partitioned_ws/train/celeba_hq_256-train-0000.tar",
|
| 6 |
+
"n_train": 1000,
|
| 7 |
+
"total_steps": 5000000,
|
| 8 |
+
"eval_interval": 10000,
|
| 9 |
+
"mem_interval": 100000,
|
| 10 |
+
"fid_interval": 100000,
|
| 11 |
+
"fid_n_real": 1000,
|
| 12 |
+
"fid_n_gen": 10000,
|
| 13 |
+
"n_gen_samples": 10000,
|
| 14 |
+
"n_sde_steps": 500,
|
| 15 |
+
"batch_size": 512,
|
| 16 |
+
"hidden": 1024,
|
| 17 |
+
"depth": 5,
|
| 18 |
+
"optimizer": "sgd",
|
| 19 |
+
"lr": 0.001,
|
| 20 |
+
"momentum": 0.8,
|
| 21 |
+
"t_min": 0.01,
|
| 22 |
+
"t_max": 3.0,
|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
+
"seed": 42,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d90/metrics.jsonl
ADDED
|
The diff for this file is too large to render.
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|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/d90/runner.log
ADDED
|
@@ -0,0 +1,502 @@
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| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 70s | train_loss=0.9941 | fid=306.3547
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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| 24 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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| 37 |
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|
| 39 |
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| 40 |
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| 42 |
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| 43 |
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| 44 |
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| 47 |
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| 496 |
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| 497 |
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|
| 498 |
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| 499 |
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|
| 500 |
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|
| 501 |
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|
| 502 |
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step 5000000 | 47701s | train_loss=0.0121 | fid=39.8906
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed43/d10/config.json
ADDED
|
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| 1 |
+
{
|
| 2 |
+
"vae_checkpoint": "vae_checkpoints/celeba_resnet_modernloss_d10/vae.pt",
|
| 3 |
+
"out": "results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed43/d10",
|
| 4 |
+
"subset_path": "diagnostics/celeba_diverse_1k_mean_plus_sd/subset_indices.json",
|
| 5 |
+
"train_tar": "/overflow/data/cerberus/celeba_hq_256_partitioned_ws/train/celeba_hq_256-train-0000.tar",
|
| 6 |
+
"n_train": 1000,
|
| 7 |
+
"total_steps": 5000000,
|
| 8 |
+
"eval_interval": 10000,
|
| 9 |
+
"mem_interval": 100000,
|
| 10 |
+
"fid_interval": 100000,
|
| 11 |
+
"fid_n_real": 1000,
|
| 12 |
+
"fid_n_gen": 10000,
|
| 13 |
+
"n_gen_samples": 10000,
|
| 14 |
+
"n_sde_steps": 500,
|
| 15 |
+
"batch_size": 512,
|
| 16 |
+
"hidden": 1024,
|
| 17 |
+
"depth": 5,
|
| 18 |
+
"optimizer": "sgd",
|
| 19 |
+
"lr": 0.001,
|
| 20 |
+
"momentum": 0.8,
|
| 21 |
+
"t_min": 0.01,
|
| 22 |
+
"t_max": 3.0,
|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
+
"seed": 43,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed43/d10/metrics.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed43/d10/runner.log
ADDED
|
@@ -0,0 +1,502 @@
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|
| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 65s | train_loss=0.9877 | fid=194.6918
|
| 3 |
+
step 10000 | 145s | train_loss=0.9080
|
| 4 |
+
step 20000 | 228s | train_loss=0.9057
|
| 5 |
+
step 30000 | 311s | train_loss=0.9045
|
| 6 |
+
step 40000 | 394s | train_loss=0.9036
|
| 7 |
+
step 50000 | 477s | train_loss=0.9027
|
| 8 |
+
step 60000 | 560s | train_loss=0.9017
|
| 9 |
+
step 70000 | 644s | train_loss=0.9012
|
| 10 |
+
step 80000 | 727s | train_loss=0.9002
|
| 11 |
+
step 90000 | 810s | train_loss=0.8993
|
| 12 |
+
step 100000 | 959s | train_loss=0.8988 | fid=87.1300
|
| 13 |
+
step 110000 | 1036s | train_loss=0.8979
|
| 14 |
+
step 120000 | 1119s | train_loss=0.8972
|
| 15 |
+
step 130000 | 1202s | train_loss=0.8965
|
| 16 |
+
step 140000 | 1285s | train_loss=0.8958
|
| 17 |
+
step 150000 | 1368s | train_loss=0.8949
|
| 18 |
+
step 160000 | 1451s | train_loss=0.8943
|
| 19 |
+
step 170000 | 1534s | train_loss=0.8935
|
| 20 |
+
step 180000 | 1617s | train_loss=0.8926
|
| 21 |
+
step 190000 | 1700s | train_loss=0.8915
|
| 22 |
+
step 200000 | 1852s | train_loss=0.8906 | fid=87.3145
|
| 23 |
+
step 210000 | 1930s | train_loss=0.8895
|
| 24 |
+
step 220000 | 2010s | train_loss=0.8884
|
| 25 |
+
step 230000 | 2093s | train_loss=0.8870
|
| 26 |
+
step 240000 | 2176s | train_loss=0.8855
|
| 27 |
+
step 250000 | 2260s | train_loss=0.8838
|
| 28 |
+
step 260000 | 2343s | train_loss=0.8819
|
| 29 |
+
step 270000 | 2426s | train_loss=0.8795
|
| 30 |
+
step 280000 | 2509s | train_loss=0.8764
|
| 31 |
+
step 290000 | 2592s | train_loss=0.8725
|
| 32 |
+
step 300000 | 2740s | train_loss=0.8664 | fid=86.5259
|
| 33 |
+
step 310000 | 2819s | train_loss=0.8593
|
| 34 |
+
step 320000 | 2900s | train_loss=0.8486
|
| 35 |
+
step 330000 | 2982s | train_loss=0.8341
|
| 36 |
+
step 340000 | 3065s | train_loss=0.8167
|
| 37 |
+
step 350000 | 3148s | train_loss=0.7949
|
| 38 |
+
step 360000 | 3231s | train_loss=0.7678
|
| 39 |
+
step 370000 | 3314s | train_loss=0.7318
|
| 40 |
+
step 380000 | 3397s | train_loss=0.6978
|
| 41 |
+
step 390000 | 3481s | train_loss=0.6550
|
| 42 |
+
step 400000 | 3630s | train_loss=0.6148 | fid=87.3717
|
| 43 |
+
step 410000 | 3708s | train_loss=0.5683
|
| 44 |
+
step 420000 | 3791s | train_loss=0.5355
|
| 45 |
+
step 430000 | 3872s | train_loss=0.5063
|
| 46 |
+
step 440000 | 3954s | train_loss=0.4576
|
| 47 |
+
step 450000 | 4037s | train_loss=0.4292
|
| 48 |
+
step 460000 | 4120s | train_loss=0.4036
|
| 49 |
+
step 470000 | 4203s | train_loss=0.3781
|
| 50 |
+
step 480000 | 4286s | train_loss=0.3535
|
| 51 |
+
step 490000 | 4369s | train_loss=0.3461
|
| 52 |
+
step 500000 | 4521s | train_loss=0.3292 | fid=87.7379
|
| 53 |
+
step 510000 | 4599s | train_loss=0.3082
|
| 54 |
+
step 520000 | 4682s | train_loss=0.3069
|
| 55 |
+
step 530000 | 4762s | train_loss=0.2853
|
| 56 |
+
step 540000 | 4846s | train_loss=0.2759
|
| 57 |
+
step 550000 | 4927s | train_loss=0.2695
|
| 58 |
+
step 560000 | 5011s | train_loss=0.2517
|
| 59 |
+
step 570000 | 5094s | train_loss=0.2414
|
| 60 |
+
step 580000 | 5177s | train_loss=0.2373
|
| 61 |
+
step 590000 | 5260s | train_loss=0.2291
|
| 62 |
+
step 600000 | 5409s | train_loss=0.2292 | fid=87.1496
|
| 63 |
+
step 610000 | 5489s | train_loss=0.2171
|
| 64 |
+
step 620000 | 5570s | train_loss=0.2172
|
| 65 |
+
step 630000 | 5653s | train_loss=0.2124
|
| 66 |
+
step 640000 | 5734s | train_loss=0.2039
|
| 67 |
+
step 650000 | 5817s | train_loss=0.2009
|
| 68 |
+
step 660000 | 5898s | train_loss=0.1945
|
| 69 |
+
step 670000 | 5982s | train_loss=0.1880
|
| 70 |
+
step 680000 | 6065s | train_loss=0.1849
|
| 71 |
+
step 690000 | 6148s | train_loss=0.1831
|
| 72 |
+
step 700000 | 6297s | train_loss=0.1802 | fid=86.1498
|
| 73 |
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step 710000 | 6377s | train_loss=0.1793
|
| 74 |
+
step 720000 | 6457s | train_loss=0.1737
|
| 75 |
+
step 730000 | 6541s | train_loss=0.1698
|
| 76 |
+
step 740000 | 6622s | train_loss=0.1663
|
| 77 |
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step 750000 | 6705s | train_loss=0.1660
|
| 78 |
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step 760000 | 6788s | train_loss=0.1659
|
| 79 |
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step 770000 | 6869s | train_loss=0.1636
|
| 80 |
+
step 780000 | 6953s | train_loss=0.1570
|
| 81 |
+
step 790000 | 7036s | train_loss=0.1546
|
| 82 |
+
step 800000 | 7187s | train_loss=0.1542 | fid=87.6051
|
| 83 |
+
step 810000 | 7268s | train_loss=0.1522
|
| 84 |
+
step 820000 | 7348s | train_loss=0.1525
|
| 85 |
+
step 830000 | 7431s | train_loss=0.1497
|
| 86 |
+
step 840000 | 7514s | train_loss=0.1474
|
| 87 |
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step 850000 | 7594s | train_loss=0.1482
|
| 88 |
+
step 860000 | 7677s | train_loss=0.1437
|
| 89 |
+
step 870000 | 7760s | train_loss=0.1430
|
| 90 |
+
step 880000 | 7842s | train_loss=0.1394
|
| 91 |
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step 890000 | 7925s | train_loss=0.1374
|
| 92 |
+
step 900000 | 8077s | train_loss=0.1389 | fid=86.6205
|
| 93 |
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step 910000 | 8158s | train_loss=0.1354
|
| 94 |
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step 920000 | 8238s | train_loss=0.1320
|
| 95 |
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step 930000 | 8321s | train_loss=0.1320
|
| 96 |
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step 940000 | 8404s | train_loss=0.1294
|
| 97 |
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step 950000 | 8484s | train_loss=0.1317
|
| 98 |
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step 960000 | 8567s | train_loss=0.1254
|
| 99 |
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step 970000 | 8650s | train_loss=0.1264
|
| 100 |
+
step 980000 | 8734s | train_loss=0.1249
|
| 101 |
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step 990000 | 8815s | train_loss=0.1271
|
| 102 |
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step 1000000 | 8965s | train_loss=0.1242 | fid=86.5478
|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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step 1040000 | 9292s | train_loss=0.1214
|
| 107 |
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| 390 |
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| 392 |
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| 411 |
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| 414 |
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| 416 |
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| 419 |
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| 420 |
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| 422 |
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| 431 |
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| 432 |
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| 433 |
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| 434 |
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| 435 |
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| 436 |
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|
| 437 |
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| 438 |
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|
| 439 |
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| 440 |
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|
| 441 |
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| 442 |
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|
| 443 |
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|
| 444 |
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| 445 |
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|
| 446 |
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|
| 447 |
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| 448 |
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|
| 449 |
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|
| 450 |
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|
| 451 |
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|
| 452 |
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|
| 453 |
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|
| 454 |
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|
| 455 |
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|
| 456 |
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|
| 457 |
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|
| 458 |
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|
| 459 |
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|
| 460 |
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|
| 461 |
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|
| 462 |
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|
| 463 |
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|
| 464 |
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| 465 |
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|
| 466 |
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|
| 467 |
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|
| 468 |
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|
| 469 |
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|
| 470 |
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step 4680000 | 41303s | train_loss=0.0413
|
| 471 |
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|
| 472 |
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step 4700000 | 41526s | train_loss=0.0406 | fid=87.3257
|
| 473 |
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|
| 474 |
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|
| 475 |
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|
| 476 |
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|
| 477 |
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|
| 478 |
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step 4760000 | 42011s | train_loss=0.0411
|
| 479 |
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step 4770000 | 42094s | train_loss=0.0406
|
| 480 |
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step 4780000 | 42177s | train_loss=0.0397
|
| 481 |
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|
| 482 |
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step 4800000 | 42403s | train_loss=0.0395 | fid=87.6172
|
| 483 |
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|
| 484 |
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|
| 485 |
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|
| 486 |
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|
| 487 |
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|
| 488 |
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step 4860000 | 42894s | train_loss=0.0403
|
| 489 |
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step 4870000 | 42975s | train_loss=0.0399
|
| 490 |
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step 4880000 | 43057s | train_loss=0.0396
|
| 491 |
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step 4890000 | 43140s | train_loss=0.0397
|
| 492 |
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step 4900000 | 43284s | train_loss=0.0392 | fid=86.9381
|
| 493 |
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step 4910000 | 43366s | train_loss=0.0399
|
| 494 |
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step 4920000 | 43446s | train_loss=0.0395
|
| 495 |
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step 4930000 | 43528s | train_loss=0.0397
|
| 496 |
+
step 4940000 | 43611s | train_loss=0.0400
|
| 497 |
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step 4950000 | 43694s | train_loss=0.0394
|
| 498 |
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step 4960000 | 43776s | train_loss=0.0401
|
| 499 |
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step 4970000 | 43857s | train_loss=0.0402
|
| 500 |
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step 4980000 | 43938s | train_loss=0.0400
|
| 501 |
+
step 4990000 | 44021s | train_loss=0.0393
|
| 502 |
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step 5000000 | 44168s | train_loss=0.0396 | fid=86.9596
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed43/d100/config.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"vae_checkpoint": "vae_checkpoints/celeba_resnet_modernloss_d100/vae.pt",
|
| 3 |
+
"out": "results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed43/d100",
|
| 4 |
+
"subset_path": "diagnostics/celeba_diverse_1k_mean_plus_sd/subset_indices.json",
|
| 5 |
+
"train_tar": "/overflow/data/cerberus/celeba_hq_256_partitioned_ws/train/celeba_hq_256-train-0000.tar",
|
| 6 |
+
"n_train": 1000,
|
| 7 |
+
"total_steps": 5000000,
|
| 8 |
+
"eval_interval": 10000,
|
| 9 |
+
"mem_interval": 100000,
|
| 10 |
+
"fid_interval": 100000,
|
| 11 |
+
"fid_n_real": 1000,
|
| 12 |
+
"fid_n_gen": 10000,
|
| 13 |
+
"n_gen_samples": 10000,
|
| 14 |
+
"n_sde_steps": 500,
|
| 15 |
+
"batch_size": 512,
|
| 16 |
+
"hidden": 1024,
|
| 17 |
+
"depth": 5,
|
| 18 |
+
"optimizer": "sgd",
|
| 19 |
+
"lr": 0.001,
|
| 20 |
+
"momentum": 0.8,
|
| 21 |
+
"t_min": 0.01,
|
| 22 |
+
"t_max": 3.0,
|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
+
"seed": 43,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed43/d100/metrics.jsonl
ADDED
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