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- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/d60/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/d70/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/d70/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/d70/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/d80/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/d80/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/d80/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/d90/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/d90/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/d90/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d10/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d10/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d10/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d100/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d100/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d100/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d120/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d120/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d120/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d140/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d140/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d140/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d160/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d160/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d160/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d180/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d180/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d180/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d20/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d20/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d20/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d200/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d200/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d200/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d30/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d30/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d30/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d40/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d40/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d40/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d50/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d50/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d50/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d60/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d60/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d60/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d70/config.json +26 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d70/metrics.jsonl +0 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d70/runner.log +502 -0
- results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d80/config.json +26 -0
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/d60/runner.log
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| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 71s | train_loss=0.9909 | fid=299.2898
|
| 3 |
+
step 10000 | 156s | train_loss=0.8307
|
| 4 |
+
step 20000 | 250s | train_loss=0.7545
|
| 5 |
+
step 30000 | 344s | train_loss=0.6456
|
| 6 |
+
step 40000 | 438s | train_loss=0.4892
|
| 7 |
+
step 50000 | 531s | train_loss=0.3340
|
| 8 |
+
step 60000 | 625s | train_loss=0.2378
|
| 9 |
+
step 70000 | 718s | train_loss=0.1880
|
| 10 |
+
step 80000 | 812s | train_loss=0.1610
|
| 11 |
+
step 90000 | 904s | train_loss=0.1441
|
| 12 |
+
step 100000 | 1072s | train_loss=0.1338 | fid=57.9142
|
| 13 |
+
step 110000 | 1153s | train_loss=0.1238
|
| 14 |
+
step 120000 | 1246s | train_loss=0.1167
|
| 15 |
+
step 130000 | 1340s | train_loss=0.1104
|
| 16 |
+
step 140000 | 1433s | train_loss=0.1052
|
| 17 |
+
step 150000 | 1527s | train_loss=0.1005
|
| 18 |
+
step 160000 | 1621s | train_loss=0.0963
|
| 19 |
+
step 170000 | 1715s | train_loss=0.0929
|
| 20 |
+
step 180000 | 1808s | train_loss=0.0885
|
| 21 |
+
step 190000 | 1901s | train_loss=0.0867
|
| 22 |
+
step 200000 | 2067s | train_loss=0.0840 | fid=54.6814
|
| 23 |
+
step 210000 | 2152s | train_loss=0.0802
|
| 24 |
+
step 220000 | 2246s | train_loss=0.0786
|
| 25 |
+
step 230000 | 2340s | train_loss=0.0771
|
| 26 |
+
step 240000 | 2433s | train_loss=0.0743
|
| 27 |
+
step 250000 | 2527s | train_loss=0.0716
|
| 28 |
+
step 260000 | 2621s | train_loss=0.0711
|
| 29 |
+
step 270000 | 2715s | train_loss=0.0686
|
| 30 |
+
step 280000 | 2807s | train_loss=0.0670
|
| 31 |
+
step 290000 | 2900s | train_loss=0.0660
|
| 32 |
+
step 300000 | 3067s | train_loss=0.0637 | fid=53.2268
|
| 33 |
+
step 310000 | 3154s | train_loss=0.0634
|
| 34 |
+
step 320000 | 3248s | train_loss=0.0619
|
| 35 |
+
step 330000 | 3342s | train_loss=0.0607
|
| 36 |
+
step 340000 | 3436s | train_loss=0.0595
|
| 37 |
+
step 350000 | 3530s | train_loss=0.0578
|
| 38 |
+
step 360000 | 3624s | train_loss=0.0577
|
| 39 |
+
step 370000 | 3717s | train_loss=0.0569
|
| 40 |
+
step 380000 | 3810s | train_loss=0.0557
|
| 41 |
+
step 390000 | 3902s | train_loss=0.0539
|
| 42 |
+
step 400000 | 4070s | train_loss=0.0539 | fid=51.6088
|
| 43 |
+
step 410000 | 4158s | train_loss=0.0521
|
| 44 |
+
step 420000 | 4252s | train_loss=0.0520
|
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| 444 |
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| 446 |
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| 447 |
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| 448 |
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| 450 |
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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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| 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 | 46974s | train_loss=0.0091
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| 471 |
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step 4690000 | 47068s | train_loss=0.0093
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| 472 |
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step 4700000 | 47236s | train_loss=0.0090 | fid=44.1023
|
| 473 |
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step 4710000 | 47329s | train_loss=0.0091
|
| 474 |
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step 4720000 | 47423s | train_loss=0.0096
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| 475 |
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step 4730000 | 47516s | train_loss=0.0092
|
| 476 |
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step 4740000 | 47602s | train_loss=0.0094
|
| 477 |
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step 4750000 | 47678s | train_loss=0.0088
|
| 478 |
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step 4760000 | 47754s | train_loss=0.0092
|
| 479 |
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step 4770000 | 47830s | train_loss=0.0096
|
| 480 |
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step 4780000 | 47905s | train_loss=0.0096
|
| 481 |
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step 4790000 | 47981s | train_loss=0.0090
|
| 482 |
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step 4800000 | 48119s | train_loss=0.0088 | fid=44.2178
|
| 483 |
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step 4810000 | 48193s | train_loss=0.0090
|
| 484 |
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step 4820000 | 48269s | train_loss=0.0096
|
| 485 |
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step 4830000 | 48345s | train_loss=0.0091
|
| 486 |
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step 4840000 | 48418s | train_loss=0.0092
|
| 487 |
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step 4850000 | 48492s | train_loss=0.0094
|
| 488 |
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step 4860000 | 48568s | train_loss=0.0087
|
| 489 |
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step 4870000 | 48644s | train_loss=0.0087
|
| 490 |
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step 4880000 | 48720s | train_loss=0.0086
|
| 491 |
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step 4890000 | 48796s | train_loss=0.0091
|
| 492 |
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step 4900000 | 48932s | train_loss=0.0085 | fid=43.7390
|
| 493 |
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step 4910000 | 49006s | train_loss=0.0088
|
| 494 |
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step 4920000 | 49083s | train_loss=0.0086
|
| 495 |
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step 4930000 | 49159s | train_loss=0.0085
|
| 496 |
+
step 4940000 | 49233s | train_loss=0.0088
|
| 497 |
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step 4950000 | 49305s | train_loss=0.0088
|
| 498 |
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step 4960000 | 49381s | train_loss=0.0087
|
| 499 |
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step 4970000 | 49457s | train_loss=0.0085
|
| 500 |
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step 4980000 | 49533s | train_loss=0.0082
|
| 501 |
+
step 4990000 | 49608s | train_loss=0.0086
|
| 502 |
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step 5000000 | 49745s | train_loss=0.0091 | fid=44.5720
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/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/seed44/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": 44,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/d70/metrics.jsonl
ADDED
|
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|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/d70/runner.log
ADDED
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|
| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 74s | train_loss=0.9936 | fid=282.2327
|
| 3 |
+
step 10000 | 168s | train_loss=0.8238
|
| 4 |
+
step 20000 | 262s | train_loss=0.7326
|
| 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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step 100000 | 1082s | train_loss=0.1291 | fid=56.3282
|
| 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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step 160000 | 1643s | train_loss=0.0965
|
| 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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|
| 25 |
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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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|
| 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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|
| 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 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 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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| 82 |
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|
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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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|
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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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| 116 |
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| 122 |
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+
step 4520000 | 45450s | train_loss=0.0100
|
| 455 |
+
step 4530000 | 45543s | train_loss=0.0101
|
| 456 |
+
step 4540000 | 45635s | train_loss=0.0105
|
| 457 |
+
step 4550000 | 45727s | train_loss=0.0100
|
| 458 |
+
step 4560000 | 45820s | train_loss=0.0102
|
| 459 |
+
step 4570000 | 45914s | train_loss=0.0096
|
| 460 |
+
step 4580000 | 46009s | train_loss=0.0101
|
| 461 |
+
step 4590000 | 46102s | train_loss=0.0099
|
| 462 |
+
step 4600000 | 46269s | train_loss=0.0095 | fid=41.8796
|
| 463 |
+
step 4610000 | 46362s | train_loss=0.0094
|
| 464 |
+
step 4620000 | 46455s | train_loss=0.0103
|
| 465 |
+
step 4630000 | 46547s | train_loss=0.0101
|
| 466 |
+
step 4640000 | 46638s | train_loss=0.0104
|
| 467 |
+
step 4650000 | 46732s | train_loss=0.0104
|
| 468 |
+
step 4660000 | 46826s | train_loss=0.0105
|
| 469 |
+
step 4670000 | 46920s | train_loss=0.0098
|
| 470 |
+
step 4680000 | 47014s | train_loss=0.0098
|
| 471 |
+
step 4690000 | 47108s | train_loss=0.0098
|
| 472 |
+
step 4700000 | 47274s | train_loss=0.0095 | fid=41.8283
|
| 473 |
+
step 4710000 | 47367s | train_loss=0.0098
|
| 474 |
+
step 4720000 | 47461s | train_loss=0.0100
|
| 475 |
+
step 4730000 | 47554s | train_loss=0.0104
|
| 476 |
+
step 4740000 | 47633s | train_loss=0.0099
|
| 477 |
+
step 4750000 | 47709s | train_loss=0.0097
|
| 478 |
+
step 4760000 | 47785s | train_loss=0.0100
|
| 479 |
+
step 4770000 | 47861s | train_loss=0.0107
|
| 480 |
+
step 4780000 | 47937s | train_loss=0.0100
|
| 481 |
+
step 4790000 | 48013s | train_loss=0.0098
|
| 482 |
+
step 4800000 | 48148s | train_loss=0.0097 | fid=42.2165
|
| 483 |
+
step 4810000 | 48224s | train_loss=0.0096
|
| 484 |
+
step 4820000 | 48300s | train_loss=0.0097
|
| 485 |
+
step 4830000 | 48375s | train_loss=0.0102
|
| 486 |
+
step 4840000 | 48447s | train_loss=0.0097
|
| 487 |
+
step 4850000 | 48523s | train_loss=0.0101
|
| 488 |
+
step 4860000 | 48599s | train_loss=0.0095
|
| 489 |
+
step 4870000 | 48675s | train_loss=0.0098
|
| 490 |
+
step 4880000 | 48751s | train_loss=0.0094
|
| 491 |
+
step 4890000 | 48827s | train_loss=0.0101
|
| 492 |
+
step 4900000 | 48963s | train_loss=0.0093 | fid=42.1123
|
| 493 |
+
step 4910000 | 49039s | train_loss=0.0100
|
| 494 |
+
step 4920000 | 49115s | train_loss=0.0093
|
| 495 |
+
step 4930000 | 49190s | train_loss=0.0092
|
| 496 |
+
step 4940000 | 49262s | train_loss=0.0094
|
| 497 |
+
step 4950000 | 49338s | train_loss=0.0094
|
| 498 |
+
step 4960000 | 49413s | train_loss=0.0093
|
| 499 |
+
step 4970000 | 49489s | train_loss=0.0089
|
| 500 |
+
step 4980000 | 49565s | train_loss=0.0093
|
| 501 |
+
step 4990000 | 49641s | train_loss=0.0096
|
| 502 |
+
step 5000000 | 49770s | train_loss=0.0095 | fid=42.3553
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/d80/config.json
ADDED
|
@@ -0,0 +1,26 @@
|
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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/seed44/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 |
+
"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": 44,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/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/seed44/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 | 73s | train_loss=0.9947 | fid=276.8765
|
| 3 |
+
step 10000 | 167s | train_loss=0.8193
|
| 4 |
+
step 20000 | 260s | train_loss=0.7124
|
| 5 |
+
step 30000 | 355s | train_loss=0.5812
|
| 6 |
+
step 40000 | 449s | train_loss=0.4235
|
| 7 |
+
step 50000 | 543s | train_loss=0.2915
|
| 8 |
+
step 60000 | 637s | train_loss=0.2145
|
| 9 |
+
step 70000 | 731s | train_loss=0.1746
|
| 10 |
+
step 80000 | 824s | train_loss=0.1513
|
| 11 |
+
step 90000 | 917s | train_loss=0.1375
|
| 12 |
+
step 100000 | 1083s | train_loss=0.1268 | fid=56.7187
|
| 13 |
+
step 110000 | 1177s | train_loss=0.1196
|
| 14 |
+
step 120000 | 1272s | train_loss=0.1151
|
| 15 |
+
step 130000 | 1366s | train_loss=0.1074
|
| 16 |
+
step 140000 | 1460s | train_loss=0.1022
|
| 17 |
+
step 150000 | 1555s | train_loss=0.0972
|
| 18 |
+
step 160000 | 1649s | train_loss=0.0958
|
| 19 |
+
step 170000 | 1744s | train_loss=0.0928
|
| 20 |
+
step 180000 | 1837s | train_loss=0.0881
|
| 21 |
+
step 190000 | 1930s | train_loss=0.0858
|
| 22 |
+
step 200000 | 2094s | train_loss=0.0825 | fid=55.2490
|
| 23 |
+
step 210000 | 2188s | train_loss=0.0809
|
| 24 |
+
step 220000 | 2282s | train_loss=0.0782
|
| 25 |
+
step 230000 | 2376s | train_loss=0.0758
|
| 26 |
+
step 240000 | 2470s | train_loss=0.0737
|
| 27 |
+
step 250000 | 2565s | train_loss=0.0718
|
| 28 |
+
step 260000 | 2659s | train_loss=0.0720
|
| 29 |
+
step 270000 | 2753s | train_loss=0.0696
|
| 30 |
+
step 280000 | 2846s | train_loss=0.0677
|
| 31 |
+
step 290000 | 2938s | train_loss=0.0674
|
| 32 |
+
step 300000 | 3102s | train_loss=0.0644 | fid=51.8577
|
| 33 |
+
step 310000 | 3196s | train_loss=0.0653
|
| 34 |
+
step 320000 | 3290s | train_loss=0.0620
|
| 35 |
+
step 330000 | 3385s | train_loss=0.0615
|
| 36 |
+
step 340000 | 3479s | train_loss=0.0602
|
| 37 |
+
step 350000 | 3574s | train_loss=0.0596
|
| 38 |
+
step 360000 | 3668s | train_loss=0.0587
|
| 39 |
+
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| 446 |
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| 448 |
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| 459 |
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| 464 |
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| 465 |
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| 466 |
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| 468 |
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| 469 |
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|
| 470 |
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|
| 471 |
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|
| 472 |
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step 4700000 | 47602s | train_loss=0.0107 | fid=39.0497
|
| 473 |
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step 4710000 | 47678s | train_loss=0.0110
|
| 474 |
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step 4720000 | 47755s | train_loss=0.0115
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| 475 |
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step 4730000 | 47831s | train_loss=0.0116
|
| 476 |
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| 477 |
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|
| 478 |
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step 4760000 | 48059s | train_loss=0.0115
|
| 479 |
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|
| 480 |
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|
| 481 |
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|
| 482 |
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step 4800000 | 48420s | train_loss=0.0108 | fid=40.3370
|
| 483 |
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step 4810000 | 48496s | train_loss=0.0111
|
| 484 |
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|
| 485 |
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|
| 486 |
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|
| 487 |
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step 4850000 | 48801s | train_loss=0.0118
|
| 488 |
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step 4860000 | 48877s | train_loss=0.0106
|
| 489 |
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step 4870000 | 48952s | train_loss=0.0112
|
| 490 |
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step 4880000 | 49026s | train_loss=0.0108
|
| 491 |
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step 4890000 | 49102s | train_loss=0.0110
|
| 492 |
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step 4900000 | 49239s | train_loss=0.0105 | fid=38.9635
|
| 493 |
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step 4910000 | 49315s | train_loss=0.0112
|
| 494 |
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step 4920000 | 49391s | train_loss=0.0106
|
| 495 |
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step 4930000 | 49467s | train_loss=0.0104
|
| 496 |
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step 4940000 | 49544s | train_loss=0.0104
|
| 497 |
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step 4950000 | 49620s | train_loss=0.0104
|
| 498 |
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step 4960000 | 49696s | train_loss=0.0105
|
| 499 |
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step 4970000 | 49764s | train_loss=0.0106
|
| 500 |
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step 4980000 | 49801s | train_loss=0.0103
|
| 501 |
+
step 4990000 | 49839s | train_loss=0.0102
|
| 502 |
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step 5000000 | 49898s | train_loss=0.0107 | fid=40.1450
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/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/seed44/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": 44,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/d90/metrics.jsonl
ADDED
|
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results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed44/d90/runner.log
ADDED
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|
| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 73s | train_loss=0.9954 | fid=308.9319
|
| 3 |
+
step 10000 | 166s | train_loss=0.8115
|
| 4 |
+
step 20000 | 260s | train_loss=0.6939
|
| 5 |
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|
| 6 |
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|
| 7 |
+
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|
| 8 |
+
step 60000 | 636s | train_loss=0.2179
|
| 9 |
+
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|
| 10 |
+
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|
| 11 |
+
step 90000 | 917s | train_loss=0.1384
|
| 12 |
+
step 100000 | 1082s | train_loss=0.1277 | fid=60.9427
|
| 13 |
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step 110000 | 1176s | train_loss=0.1218
|
| 14 |
+
step 120000 | 1270s | train_loss=0.1144
|
| 15 |
+
step 130000 | 1364s | train_loss=0.1080
|
| 16 |
+
step 140000 | 1458s | train_loss=0.1046
|
| 17 |
+
step 150000 | 1553s | train_loss=0.1010
|
| 18 |
+
step 160000 | 1647s | train_loss=0.0982
|
| 19 |
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step 170000 | 1741s | train_loss=0.0954
|
| 20 |
+
step 180000 | 1835s | train_loss=0.0887
|
| 21 |
+
step 190000 | 1928s | train_loss=0.0863
|
| 22 |
+
step 200000 | 2092s | train_loss=0.0857 | fid=59.7462
|
| 23 |
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|
| 24 |
+
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|
| 25 |
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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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|
| 31 |
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|
| 32 |
+
step 300000 | 3101s | train_loss=0.0667 | fid=56.3101
|
| 33 |
+
step 310000 | 3195s | train_loss=0.0643
|
| 34 |
+
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|
| 35 |
+
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|
| 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 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 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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|
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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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| 116 |
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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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| 127 |
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| 128 |
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|
| 448 |
+
step 4460000 | 45082s | train_loss=0.0139
|
| 449 |
+
step 4470000 | 45176s | train_loss=0.0144
|
| 450 |
+
step 4480000 | 45268s | train_loss=0.0120
|
| 451 |
+
step 4490000 | 45363s | train_loss=0.0125
|
| 452 |
+
step 4500000 | 45531s | train_loss=0.0127 | fid=39.4384
|
| 453 |
+
step 4510000 | 45624s | train_loss=0.0122
|
| 454 |
+
step 4520000 | 45716s | train_loss=0.0128
|
| 455 |
+
step 4530000 | 45810s | train_loss=0.0143
|
| 456 |
+
step 4540000 | 45904s | train_loss=0.0129
|
| 457 |
+
step 4550000 | 45999s | train_loss=0.0120
|
| 458 |
+
step 4560000 | 46093s | train_loss=0.0126
|
| 459 |
+
step 4570000 | 46187s | train_loss=0.0122
|
| 460 |
+
step 4580000 | 46278s | train_loss=0.0125
|
| 461 |
+
step 4590000 | 46372s | train_loss=0.0127
|
| 462 |
+
step 4600000 | 46539s | train_loss=0.0124 | fid=39.2159
|
| 463 |
+
step 4610000 | 46632s | train_loss=0.0129
|
| 464 |
+
step 4620000 | 46725s | train_loss=0.0130
|
| 465 |
+
step 4630000 | 46820s | train_loss=0.0128
|
| 466 |
+
step 4640000 | 46914s | train_loss=0.0120
|
| 467 |
+
step 4650000 | 47009s | train_loss=0.0119
|
| 468 |
+
step 4660000 | 47104s | train_loss=0.0131
|
| 469 |
+
step 4670000 | 47198s | train_loss=0.0126
|
| 470 |
+
step 4680000 | 47290s | train_loss=0.0125
|
| 471 |
+
step 4690000 | 47384s | train_loss=0.0144
|
| 472 |
+
step 4700000 | 47553s | train_loss=0.0129 | fid=39.5688
|
| 473 |
+
step 4710000 | 47633s | train_loss=0.0131
|
| 474 |
+
step 4720000 | 47709s | train_loss=0.0123
|
| 475 |
+
step 4730000 | 47786s | train_loss=0.0123
|
| 476 |
+
step 4740000 | 47862s | train_loss=0.0119
|
| 477 |
+
step 4750000 | 47938s | train_loss=0.0130
|
| 478 |
+
step 4760000 | 48014s | train_loss=0.0119
|
| 479 |
+
step 4770000 | 48091s | train_loss=0.0115
|
| 480 |
+
step 4780000 | 48164s | train_loss=0.0117
|
| 481 |
+
step 4790000 | 48240s | train_loss=0.0124
|
| 482 |
+
step 4800000 | 48376s | train_loss=0.0131 | fid=38.6088
|
| 483 |
+
step 4810000 | 48449s | train_loss=0.0122
|
| 484 |
+
step 4820000 | 48526s | train_loss=0.0122
|
| 485 |
+
step 4830000 | 48602s | train_loss=0.0122
|
| 486 |
+
step 4840000 | 48679s | train_loss=0.0116
|
| 487 |
+
step 4850000 | 48755s | train_loss=0.0121
|
| 488 |
+
step 4860000 | 48832s | train_loss=0.0123
|
| 489 |
+
step 4870000 | 48908s | train_loss=0.0117
|
| 490 |
+
step 4880000 | 48980s | train_loss=0.0120
|
| 491 |
+
step 4890000 | 49057s | train_loss=0.0127
|
| 492 |
+
step 4900000 | 49194s | train_loss=0.0123 | fid=39.4494
|
| 493 |
+
step 4910000 | 49267s | train_loss=0.0116
|
| 494 |
+
step 4920000 | 49343s | train_loss=0.0120
|
| 495 |
+
step 4930000 | 49419s | train_loss=0.0119
|
| 496 |
+
step 4940000 | 49495s | train_loss=0.0119
|
| 497 |
+
step 4950000 | 49571s | train_loss=0.0118
|
| 498 |
+
step 4960000 | 49648s | train_loss=0.0112
|
| 499 |
+
step 4970000 | 49724s | train_loss=0.0114
|
| 500 |
+
step 4980000 | 49778s | train_loss=0.0113
|
| 501 |
+
step 4990000 | 49816s | train_loss=0.0118
|
| 502 |
+
step 5000000 | 49888s | train_loss=0.0125 | fid=39.3011
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d10/config.json
ADDED
|
@@ -0,0 +1,26 @@
|
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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/seed45/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": 45,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/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/seed45/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 | 72s | train_loss=1.0279 | fid=193.6372
|
| 3 |
+
step 10000 | 163s | train_loss=0.9494
|
| 4 |
+
step 20000 | 255s | train_loss=0.9471
|
| 5 |
+
step 30000 | 348s | train_loss=0.9457
|
| 6 |
+
step 40000 | 440s | train_loss=0.9449
|
| 7 |
+
step 50000 | 532s | train_loss=0.9441
|
| 8 |
+
step 60000 | 625s | train_loss=0.9433
|
| 9 |
+
step 70000 | 717s | train_loss=0.9427
|
| 10 |
+
step 80000 | 809s | train_loss=0.9421
|
| 11 |
+
step 90000 | 901s | train_loss=0.9414
|
| 12 |
+
step 100000 | 1064s | train_loss=0.9409 | fid=87.4519
|
| 13 |
+
step 110000 | 1152s | train_loss=0.9403
|
| 14 |
+
step 120000 | 1244s | train_loss=0.9397
|
| 15 |
+
step 130000 | 1337s | train_loss=0.9391
|
| 16 |
+
step 140000 | 1429s | train_loss=0.9384
|
| 17 |
+
step 150000 | 1522s | train_loss=0.9378
|
| 18 |
+
step 160000 | 1615s | train_loss=0.9370
|
| 19 |
+
step 170000 | 1707s | train_loss=0.9360
|
| 20 |
+
step 180000 | 1800s | train_loss=0.9355
|
| 21 |
+
step 190000 | 1893s | train_loss=0.9344
|
| 22 |
+
step 200000 | 2058s | train_loss=0.9336 | fid=87.6089
|
| 23 |
+
step 210000 | 2146s | train_loss=0.9325
|
| 24 |
+
step 220000 | 2239s | train_loss=0.9312
|
| 25 |
+
step 230000 | 2332s | train_loss=0.9300
|
| 26 |
+
step 240000 | 2425s | train_loss=0.9283
|
| 27 |
+
step 250000 | 2518s | train_loss=0.9266
|
| 28 |
+
step 260000 | 2611s | train_loss=0.9247
|
| 29 |
+
step 270000 | 2704s | train_loss=0.9223
|
| 30 |
+
step 280000 | 2797s | train_loss=0.9192
|
| 31 |
+
step 290000 | 2891s | train_loss=0.9155
|
| 32 |
+
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| 459 |
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| 464 |
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| 465 |
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| 466 |
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| 468 |
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| 469 |
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| 470 |
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| 471 |
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|
| 472 |
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|
| 473 |
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step 4710000 | 47078s | train_loss=0.0581
|
| 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 | 48009s | train_loss=0.0570 | fid=88.2981
|
| 483 |
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step 4810000 | 48107s | train_loss=0.0565
|
| 484 |
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|
| 485 |
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|
| 486 |
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|
| 487 |
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step 4850000 | 48490s | train_loss=0.0571
|
| 488 |
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|
| 489 |
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step 4870000 | 48684s | train_loss=0.0567
|
| 490 |
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step 4880000 | 48774s | train_loss=0.0566
|
| 491 |
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step 4890000 | 48851s | train_loss=0.0567
|
| 492 |
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step 4900000 | 48992s | train_loss=0.0568 | fid=87.3401
|
| 493 |
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step 4910000 | 49072s | train_loss=0.0565
|
| 494 |
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step 4920000 | 49148s | train_loss=0.0567
|
| 495 |
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step 4930000 | 49227s | train_loss=0.0567
|
| 496 |
+
step 4940000 | 49303s | train_loss=0.0576
|
| 497 |
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step 4950000 | 49382s | train_loss=0.0566
|
| 498 |
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step 4960000 | 49462s | train_loss=0.0565
|
| 499 |
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step 4970000 | 49542s | train_loss=0.0548
|
| 500 |
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step 4980000 | 49623s | train_loss=0.0557
|
| 501 |
+
step 4990000 | 49699s | train_loss=0.0565
|
| 502 |
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step 5000000 | 49843s | train_loss=0.0553 | fid=86.7828
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d100/config.json
ADDED
|
@@ -0,0 +1,26 @@
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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/seed45/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": 45,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d100/metrics.jsonl
ADDED
|
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results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d100/runner.log
ADDED
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|
| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 71s | train_loss=1.0036 | fid=291.3698
|
| 3 |
+
step 10000 | 166s | train_loss=0.8106
|
| 4 |
+
step 20000 | 262s | train_loss=0.6865
|
| 5 |
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step 30000 | 358s | train_loss=0.5505
|
| 6 |
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step 40000 | 454s | train_loss=0.4129
|
| 7 |
+
step 50000 | 551s | train_loss=0.2994
|
| 8 |
+
step 60000 | 647s | train_loss=0.2273
|
| 9 |
+
step 70000 | 743s | train_loss=0.1856
|
| 10 |
+
step 80000 | 839s | train_loss=0.1585
|
| 11 |
+
step 90000 | 936s | train_loss=0.1448
|
| 12 |
+
step 100000 | 1096s | train_loss=0.1290 | fid=60.3562
|
| 13 |
+
step 110000 | 1192s | train_loss=0.1215
|
| 14 |
+
step 120000 | 1288s | train_loss=0.1153
|
| 15 |
+
step 130000 | 1384s | train_loss=0.1092
|
| 16 |
+
step 140000 | 1481s | train_loss=0.1040
|
| 17 |
+
step 150000 | 1579s | train_loss=0.1017
|
| 18 |
+
step 160000 | 1676s | train_loss=0.0968
|
| 19 |
+
step 170000 | 1773s | train_loss=0.0924
|
| 20 |
+
step 180000 | 1870s | train_loss=0.0903
|
| 21 |
+
step 190000 | 1963s | train_loss=0.0883
|
| 22 |
+
step 200000 | 2130s | train_loss=0.0856 | fid=59.1669
|
| 23 |
+
step 210000 | 2227s | train_loss=0.0845
|
| 24 |
+
step 220000 | 2324s | train_loss=0.0813
|
| 25 |
+
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|
| 26 |
+
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|
| 27 |
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|
| 28 |
+
step 260000 | 2713s | train_loss=0.0749
|
| 29 |
+
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|
| 30 |
+
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|
| 31 |
+
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|
| 32 |
+
step 300000 | 3169s | train_loss=0.0679 | fid=57.1085
|
| 33 |
+
step 310000 | 3267s | train_loss=0.0668
|
| 34 |
+
step 320000 | 3364s | train_loss=0.0659
|
| 35 |
+
step 330000 | 3461s | train_loss=0.0649
|
| 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 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 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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|
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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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| 134 |
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| 135 |
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| 142 |
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step 4380000 | 44558s | train_loss=0.0149
|
| 441 |
+
step 4390000 | 44655s | train_loss=0.0151
|
| 442 |
+
step 4400000 | 44813s | train_loss=0.0149 | fid=40.4938
|
| 443 |
+
step 4410000 | 44910s | train_loss=0.0148
|
| 444 |
+
step 4420000 | 45006s | train_loss=0.0147
|
| 445 |
+
step 4430000 | 45094s | train_loss=0.0146
|
| 446 |
+
step 4440000 | 45185s | train_loss=0.0151
|
| 447 |
+
step 4450000 | 45283s | train_loss=0.0146
|
| 448 |
+
step 4460000 | 45364s | train_loss=0.0144
|
| 449 |
+
step 4470000 | 45461s | train_loss=0.0157
|
| 450 |
+
step 4480000 | 45558s | train_loss=0.0139
|
| 451 |
+
step 4490000 | 45655s | train_loss=0.0140
|
| 452 |
+
step 4500000 | 45814s | train_loss=0.0142 | fid=39.7126
|
| 453 |
+
step 4510000 | 45911s | train_loss=0.0143
|
| 454 |
+
step 4520000 | 46007s | train_loss=0.0141
|
| 455 |
+
step 4530000 | 46092s | train_loss=0.0160
|
| 456 |
+
step 4540000 | 46189s | train_loss=0.0142
|
| 457 |
+
step 4550000 | 46287s | train_loss=0.0143
|
| 458 |
+
step 4560000 | 46376s | train_loss=0.0142
|
| 459 |
+
step 4570000 | 46468s | train_loss=0.0143
|
| 460 |
+
step 4580000 | 46565s | train_loss=0.0137
|
| 461 |
+
step 4590000 | 46658s | train_loss=0.0157
|
| 462 |
+
step 4600000 | 46827s | train_loss=0.0139 | fid=40.5857
|
| 463 |
+
step 4610000 | 46924s | train_loss=0.0139
|
| 464 |
+
step 4620000 | 47017s | train_loss=0.0150
|
| 465 |
+
step 4630000 | 47103s | train_loss=0.0158
|
| 466 |
+
step 4640000 | 47201s | train_loss=0.0149
|
| 467 |
+
step 4650000 | 47298s | train_loss=0.0150
|
| 468 |
+
step 4660000 | 47393s | train_loss=0.0147
|
| 469 |
+
step 4670000 | 47477s | train_loss=0.0137
|
| 470 |
+
step 4680000 | 47573s | train_loss=0.0142
|
| 471 |
+
step 4690000 | 47652s | train_loss=0.0142
|
| 472 |
+
step 4700000 | 47792s | train_loss=0.0144 | fid=40.3667
|
| 473 |
+
step 4710000 | 47865s | train_loss=0.0140
|
| 474 |
+
step 4720000 | 47934s | train_loss=0.0141
|
| 475 |
+
step 4730000 | 47994s | train_loss=0.0135
|
| 476 |
+
step 4740000 | 48054s | train_loss=0.0138
|
| 477 |
+
step 4750000 | 48114s | train_loss=0.0142
|
| 478 |
+
step 4760000 | 48175s | train_loss=0.0142
|
| 479 |
+
step 4770000 | 48229s | train_loss=0.0141
|
| 480 |
+
step 4780000 | 48289s | train_loss=0.0138
|
| 481 |
+
step 4790000 | 48350s | train_loss=0.0131
|
| 482 |
+
step 4800000 | 48459s | train_loss=0.0139 | fid=40.3406
|
| 483 |
+
step 4810000 | 48499s | train_loss=0.0146
|
| 484 |
+
step 4820000 | 48539s | train_loss=0.0148
|
| 485 |
+
step 4830000 | 48580s | train_loss=0.0137
|
| 486 |
+
step 4840000 | 48620s | train_loss=0.0139
|
| 487 |
+
step 4850000 | 48660s | train_loss=0.0132
|
| 488 |
+
step 4860000 | 48700s | train_loss=0.0140
|
| 489 |
+
step 4870000 | 48733s | train_loss=0.0138
|
| 490 |
+
step 4880000 | 48774s | train_loss=0.0136
|
| 491 |
+
step 4890000 | 48814s | train_loss=0.0144
|
| 492 |
+
step 4900000 | 48890s | train_loss=0.0138 | fid=41.0696
|
| 493 |
+
step 4910000 | 48930s | train_loss=0.0137
|
| 494 |
+
step 4920000 | 48970s | train_loss=0.0149
|
| 495 |
+
step 4930000 | 49011s | train_loss=0.0138
|
| 496 |
+
step 4940000 | 49051s | train_loss=0.0134
|
| 497 |
+
step 4950000 | 49091s | train_loss=0.0146
|
| 498 |
+
step 4960000 | 49129s | train_loss=0.0141
|
| 499 |
+
step 4970000 | 49165s | train_loss=0.0131
|
| 500 |
+
step 4980000 | 49206s | train_loss=0.0140
|
| 501 |
+
step 4990000 | 49246s | train_loss=0.0131
|
| 502 |
+
step 5000000 | 49320s | train_loss=0.0128 | fid=40.0213
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/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/seed45/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": 45,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d120/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/seed45/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 | 74s | train_loss=1.0001 | fid=265.9095
|
| 3 |
+
step 10000 | 170s | train_loss=0.7912
|
| 4 |
+
step 20000 | 268s | train_loss=0.6559
|
| 5 |
+
step 30000 | 367s | train_loss=0.5214
|
| 6 |
+
step 40000 | 465s | train_loss=0.3989
|
| 7 |
+
step 50000 | 563s | train_loss=0.3015
|
| 8 |
+
step 60000 | 662s | train_loss=0.2352
|
| 9 |
+
step 70000 | 760s | train_loss=0.1914
|
| 10 |
+
step 80000 | 859s | train_loss=0.1640
|
| 11 |
+
step 90000 | 957s | train_loss=0.1453
|
| 12 |
+
step 100000 | 1126s | train_loss=0.1334 | fid=63.9819
|
| 13 |
+
step 110000 | 1216s | train_loss=0.1242
|
| 14 |
+
step 120000 | 1315s | train_loss=0.1169
|
| 15 |
+
step 130000 | 1413s | train_loss=0.1112
|
| 16 |
+
step 140000 | 1512s | train_loss=0.1062
|
| 17 |
+
step 150000 | 1610s | train_loss=0.1050
|
| 18 |
+
step 160000 | 1707s | train_loss=0.0993
|
| 19 |
+
step 170000 | 1807s | train_loss=0.0943
|
| 20 |
+
step 180000 | 1907s | train_loss=0.0939
|
| 21 |
+
step 190000 | 2007s | train_loss=0.0897
|
| 22 |
+
step 200000 | 2179s | train_loss=0.0872 | fid=64.7048
|
| 23 |
+
step 210000 | 2274s | train_loss=0.0844
|
| 24 |
+
step 220000 | 2373s | train_loss=0.0829
|
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| 27 |
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| 29 |
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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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step 4920000 | 51807s | train_loss=0.0162
|
| 495 |
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step 4930000 | 51883s | train_loss=0.0162
|
| 496 |
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step 4940000 | 51962s | train_loss=0.0159
|
| 497 |
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step 4950000 | 52042s | train_loss=0.0166
|
| 498 |
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step 4960000 | 52122s | train_loss=0.0152
|
| 499 |
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|
| 500 |
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step 4980000 | 52247s | train_loss=0.0151
|
| 501 |
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step 4990000 | 52287s | train_loss=0.0145
|
| 502 |
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step 5000000 | 52362s | train_loss=0.0143 | fid=41.9502
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d140/config.json
ADDED
|
@@ -0,0 +1,26 @@
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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/seed45/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": 45,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d140/metrics.jsonl
ADDED
|
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results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d140/runner.log
ADDED
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|
| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 74s | train_loss=0.9993 | fid=310.2282
|
| 3 |
+
step 10000 | 160s | train_loss=0.7574
|
| 4 |
+
step 20000 | 251s | train_loss=0.6301
|
| 5 |
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|
| 6 |
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step 40000 | 435s | train_loss=0.4146
|
| 7 |
+
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|
| 8 |
+
step 60000 | 618s | train_loss=0.2684
|
| 9 |
+
step 70000 | 710s | train_loss=0.2194
|
| 10 |
+
step 80000 | 802s | train_loss=0.1860
|
| 11 |
+
step 90000 | 893s | train_loss=0.1685
|
| 12 |
+
step 100000 | 1057s | train_loss=0.1496 | fid=63.5919
|
| 13 |
+
step 110000 | 1143s | train_loss=0.1354
|
| 14 |
+
step 120000 | 1233s | train_loss=0.1252
|
| 15 |
+
step 130000 | 1324s | train_loss=0.1177
|
| 16 |
+
step 140000 | 1416s | train_loss=0.1115
|
| 17 |
+
step 150000 | 1508s | train_loss=0.1109
|
| 18 |
+
step 160000 | 1599s | train_loss=0.1031
|
| 19 |
+
step 170000 | 1690s | train_loss=0.0976
|
| 20 |
+
step 180000 | 1782s | train_loss=0.0945
|
| 21 |
+
step 190000 | 1874s | train_loss=0.0895
|
| 22 |
+
step 200000 | 2037s | train_loss=0.0911 | fid=69.7963
|
| 23 |
+
step 210000 | 2129s | train_loss=0.0855
|
| 24 |
+
step 220000 | 2217s | train_loss=0.0838
|
| 25 |
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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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|
| 31 |
+
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|
| 32 |
+
step 300000 | 3023s | train_loss=0.0691 | fid=68.4308
|
| 33 |
+
step 310000 | 3115s | train_loss=0.0687
|
| 34 |
+
step 320000 | 3207s | train_loss=0.0702
|
| 35 |
+
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|
| 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 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 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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|
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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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|
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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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| 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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| 134 |
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| 135 |
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| 141 |
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| 142 |
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step 4300000 | 43561s | train_loss=0.0167 | fid=39.8893
|
| 433 |
+
step 4310000 | 43653s | train_loss=0.0159
|
| 434 |
+
step 4320000 | 43745s | train_loss=0.0164
|
| 435 |
+
step 4330000 | 43837s | train_loss=0.0166
|
| 436 |
+
step 4340000 | 43929s | train_loss=0.0159
|
| 437 |
+
step 4350000 | 44021s | train_loss=0.0165
|
| 438 |
+
step 4360000 | 44113s | train_loss=0.0174
|
| 439 |
+
step 4370000 | 44202s | train_loss=0.0166
|
| 440 |
+
step 4380000 | 44295s | train_loss=0.0162
|
| 441 |
+
step 4390000 | 44387s | train_loss=0.0168
|
| 442 |
+
step 4400000 | 44576s | train_loss=0.0164 | fid=37.9295
|
| 443 |
+
step 4410000 | 44668s | train_loss=0.0155
|
| 444 |
+
step 4420000 | 44759s | train_loss=0.0158
|
| 445 |
+
step 4430000 | 44851s | train_loss=0.0156
|
| 446 |
+
step 4440000 | 44943s | train_loss=0.0172
|
| 447 |
+
step 4450000 | 45035s | train_loss=0.0161
|
| 448 |
+
step 4460000 | 45127s | train_loss=0.0153
|
| 449 |
+
step 4470000 | 45218s | train_loss=0.0162
|
| 450 |
+
step 4480000 | 45308s | train_loss=0.0152
|
| 451 |
+
step 4490000 | 45400s | train_loss=0.0160
|
| 452 |
+
step 4500000 | 45584s | train_loss=0.0145 | fid=39.8140
|
| 453 |
+
step 4510000 | 45674s | train_loss=0.0148
|
| 454 |
+
step 4520000 | 45766s | train_loss=0.0155
|
| 455 |
+
step 4530000 | 45858s | train_loss=0.0168
|
| 456 |
+
step 4540000 | 45950s | train_loss=0.0158
|
| 457 |
+
step 4550000 | 46042s | train_loss=0.0155
|
| 458 |
+
step 4560000 | 46134s | train_loss=0.0150
|
| 459 |
+
step 4570000 | 46227s | train_loss=0.0154
|
| 460 |
+
step 4580000 | 46315s | train_loss=0.0145
|
| 461 |
+
step 4590000 | 46407s | train_loss=0.0167
|
| 462 |
+
step 4600000 | 46610s | train_loss=0.0153 | fid=39.8361
|
| 463 |
+
step 4610000 | 46702s | train_loss=0.0151
|
| 464 |
+
step 4620000 | 46793s | train_loss=0.0171
|
| 465 |
+
step 4630000 | 46885s | train_loss=0.0162
|
| 466 |
+
step 4640000 | 46977s | train_loss=0.0160
|
| 467 |
+
step 4650000 | 47068s | train_loss=0.0161
|
| 468 |
+
step 4660000 | 47160s | train_loss=0.0159
|
| 469 |
+
step 4670000 | 47252s | train_loss=0.0150
|
| 470 |
+
step 4680000 | 47341s | train_loss=0.0155
|
| 471 |
+
step 4690000 | 47433s | train_loss=0.0159
|
| 472 |
+
step 4700000 | 47636s | train_loss=0.0154 | fid=38.0869
|
| 473 |
+
step 4710000 | 47726s | train_loss=0.0159
|
| 474 |
+
step 4720000 | 47817s | train_loss=0.0155
|
| 475 |
+
step 4730000 | 47909s | train_loss=0.0146
|
| 476 |
+
step 4740000 | 48001s | train_loss=0.0165
|
| 477 |
+
step 4750000 | 48092s | train_loss=0.0158
|
| 478 |
+
step 4760000 | 48184s | train_loss=0.0163
|
| 479 |
+
step 4770000 | 48276s | train_loss=0.0149
|
| 480 |
+
step 4780000 | 48366s | train_loss=0.0147
|
| 481 |
+
step 4790000 | 48457s | train_loss=0.0141
|
| 482 |
+
step 4800000 | 48622s | train_loss=0.0149 | fid=38.0455
|
| 483 |
+
step 4810000 | 48714s | train_loss=0.0152
|
| 484 |
+
step 4820000 | 48804s | train_loss=0.0162
|
| 485 |
+
step 4830000 | 48894s | train_loss=0.0144
|
| 486 |
+
step 4840000 | 48986s | train_loss=0.0145
|
| 487 |
+
step 4850000 | 49078s | train_loss=0.0138
|
| 488 |
+
step 4860000 | 49170s | train_loss=0.0159
|
| 489 |
+
step 4870000 | 49262s | train_loss=0.0148
|
| 490 |
+
step 4880000 | 49354s | train_loss=0.0142
|
| 491 |
+
step 4890000 | 49443s | train_loss=0.0152
|
| 492 |
+
step 4900000 | 49608s | train_loss=0.0168 | fid=36.4833
|
| 493 |
+
step 4910000 | 49700s | train_loss=0.0156
|
| 494 |
+
step 4920000 | 49790s | train_loss=0.0160
|
| 495 |
+
step 4930000 | 49882s | train_loss=0.0150
|
| 496 |
+
step 4940000 | 49973s | train_loss=0.0151
|
| 497 |
+
step 4950000 | 50065s | train_loss=0.0155
|
| 498 |
+
step 4960000 | 50156s | train_loss=0.0151
|
| 499 |
+
step 4970000 | 50248s | train_loss=0.0156
|
| 500 |
+
step 4980000 | 50340s | train_loss=0.0154
|
| 501 |
+
step 4990000 | 50432s | train_loss=0.0141
|
| 502 |
+
step 5000000 | 50588s | train_loss=0.0148 | fid=37.5819
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/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/seed45/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": 45,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d160/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/seed45/d160/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 | 75s | train_loss=1.0002 | fid=289.7242
|
| 3 |
+
step 10000 | 173s | train_loss=0.7164
|
| 4 |
+
step 20000 | 273s | train_loss=0.6056
|
| 5 |
+
step 30000 | 373s | train_loss=0.5184
|
| 6 |
+
step 40000 | 473s | train_loss=0.4327
|
| 7 |
+
step 50000 | 573s | train_loss=0.3418
|
| 8 |
+
step 60000 | 673s | train_loss=0.2813
|
| 9 |
+
step 70000 | 773s | train_loss=0.2211
|
| 10 |
+
step 80000 | 873s | train_loss=0.1963
|
| 11 |
+
step 90000 | 973s | train_loss=0.1716
|
| 12 |
+
step 100000 | 1143s | train_loss=0.1631 | fid=69.9215
|
| 13 |
+
step 110000 | 1241s | train_loss=0.1382
|
| 14 |
+
step 120000 | 1341s | train_loss=0.1350
|
| 15 |
+
step 130000 | 1440s | train_loss=0.1287
|
| 16 |
+
step 140000 | 1540s | train_loss=0.1315
|
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| 474 |
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| 477 |
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| 482 |
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| 484 |
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| 485 |
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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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step 4990000 | 52067s | train_loss=0.0179
|
| 502 |
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step 5000000 | 52213s | train_loss=0.0171 | fid=47.3853
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d180/config.json
ADDED
|
@@ -0,0 +1,26 @@
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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/seed45/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 |
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"t_max": 3.0,
|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
+
"seed": 45,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d180/metrics.jsonl
ADDED
|
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results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d180/runner.log
ADDED
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|
| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 77s | train_loss=1.0006 | fid=345.6789
|
| 3 |
+
step 10000 | 176s | train_loss=0.6679
|
| 4 |
+
step 20000 | 275s | train_loss=0.5572
|
| 5 |
+
step 30000 | 374s | train_loss=0.4889
|
| 6 |
+
step 40000 | 473s | train_loss=0.4154
|
| 7 |
+
step 50000 | 573s | train_loss=0.3410
|
| 8 |
+
step 60000 | 672s | train_loss=0.2825
|
| 9 |
+
step 70000 | 772s | train_loss=0.2377
|
| 10 |
+
step 80000 | 871s | train_loss=0.2026
|
| 11 |
+
step 90000 | 970s | train_loss=0.1829
|
| 12 |
+
step 100000 | 1142s | train_loss=0.1621 | fid=65.9873
|
| 13 |
+
step 110000 | 1237s | train_loss=0.1508
|
| 14 |
+
step 120000 | 1337s | train_loss=0.1404
|
| 15 |
+
step 130000 | 1436s | train_loss=0.1315
|
| 16 |
+
step 140000 | 1535s | train_loss=0.1309
|
| 17 |
+
step 150000 | 1634s | train_loss=0.1233
|
| 18 |
+
step 160000 | 1731s | train_loss=0.1203
|
| 19 |
+
step 170000 | 1830s | train_loss=0.1141
|
| 20 |
+
step 180000 | 1929s | train_loss=0.1144
|
| 21 |
+
step 190000 | 2027s | train_loss=0.1093
|
| 22 |
+
step 200000 | 2199s | train_loss=0.1068 | fid=75.1920
|
| 23 |
+
step 210000 | 2296s | train_loss=0.1006
|
| 24 |
+
step 220000 | 2395s | train_loss=0.0996
|
| 25 |
+
step 230000 | 2494s | train_loss=0.0976
|
| 26 |
+
step 240000 | 2593s | train_loss=0.0992
|
| 27 |
+
step 250000 | 2691s | train_loss=0.0979
|
| 28 |
+
step 260000 | 2789s | train_loss=0.0948
|
| 29 |
+
step 270000 | 2887s | train_loss=0.0953
|
| 30 |
+
step 280000 | 2986s | train_loss=0.0890
|
| 31 |
+
step 290000 | 3081s | train_loss=0.0888
|
| 32 |
+
step 300000 | 3256s | train_loss=0.0880 | fid=77.0286
|
| 33 |
+
step 310000 | 3353s | train_loss=0.0863
|
| 34 |
+
step 320000 | 3452s | train_loss=0.0883
|
| 35 |
+
step 330000 | 3551s | train_loss=0.0800
|
| 36 |
+
step 340000 | 3649s | train_loss=0.0821
|
| 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 | 4411s | train_loss=0.0730
|
| 44 |
+
step 420000 | 4510s | train_loss=0.0721
|
| 45 |
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|
| 46 |
+
step 440000 | 4708s | train_loss=0.0724
|
| 47 |
+
step 450000 | 4807s | train_loss=0.0715
|
| 48 |
+
step 460000 | 4904s | train_loss=0.0698
|
| 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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|
| 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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|
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|
| 150 |
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|
| 425 |
+
step 4230000 | 44470s | train_loss=0.0195
|
| 426 |
+
step 4240000 | 44559s | train_loss=0.0198
|
| 427 |
+
step 4250000 | 44654s | train_loss=0.0221
|
| 428 |
+
step 4260000 | 44752s | train_loss=0.0209
|
| 429 |
+
step 4270000 | 44850s | train_loss=0.0208
|
| 430 |
+
step 4280000 | 44949s | train_loss=0.0206
|
| 431 |
+
step 4290000 | 45048s | train_loss=0.0210
|
| 432 |
+
step 4300000 | 45223s | train_loss=0.0213 | fid=50.6745
|
| 433 |
+
step 4310000 | 45322s | train_loss=0.0201
|
| 434 |
+
step 4320000 | 45420s | train_loss=0.0203
|
| 435 |
+
step 4330000 | 45519s | train_loss=0.0212
|
| 436 |
+
step 4340000 | 45609s | train_loss=0.0195
|
| 437 |
+
step 4350000 | 45705s | train_loss=0.0239
|
| 438 |
+
step 4360000 | 45804s | train_loss=0.0199
|
| 439 |
+
step 4370000 | 45903s | train_loss=0.0200
|
| 440 |
+
step 4380000 | 46001s | train_loss=0.0206
|
| 441 |
+
step 4390000 | 46100s | train_loss=0.0205
|
| 442 |
+
step 4400000 | 46275s | train_loss=0.0204 | fid=47.4342
|
| 443 |
+
step 4410000 | 46374s | train_loss=0.0198
|
| 444 |
+
step 4420000 | 46472s | train_loss=0.0197
|
| 445 |
+
step 4430000 | 46569s | train_loss=0.0218
|
| 446 |
+
step 4440000 | 46655s | train_loss=0.0242
|
| 447 |
+
step 4450000 | 46752s | train_loss=0.0208
|
| 448 |
+
step 4460000 | 46850s | train_loss=0.0213
|
| 449 |
+
step 4470000 | 46949s | train_loss=0.0210
|
| 450 |
+
step 4480000 | 47048s | train_loss=0.0208
|
| 451 |
+
step 4490000 | 47146s | train_loss=0.0194
|
| 452 |
+
step 4500000 | 47321s | train_loss=0.0193 | fid=48.1663
|
| 453 |
+
step 4510000 | 47420s | train_loss=0.0192
|
| 454 |
+
step 4520000 | 47519s | train_loss=0.0193
|
| 455 |
+
step 4530000 | 47611s | train_loss=0.0192
|
| 456 |
+
step 4540000 | 47703s | train_loss=0.0227
|
| 457 |
+
step 4550000 | 47800s | train_loss=0.0197
|
| 458 |
+
step 4560000 | 47899s | train_loss=0.0205
|
| 459 |
+
step 4570000 | 47998s | train_loss=0.0201
|
| 460 |
+
step 4580000 | 48096s | train_loss=0.0211
|
| 461 |
+
step 4590000 | 48194s | train_loss=0.0208
|
| 462 |
+
step 4600000 | 48369s | train_loss=0.0193 | fid=45.0917
|
| 463 |
+
step 4610000 | 48467s | train_loss=0.0204
|
| 464 |
+
step 4620000 | 48566s | train_loss=0.0185
|
| 465 |
+
step 4630000 | 48662s | train_loss=0.0189
|
| 466 |
+
step 4640000 | 48758s | train_loss=0.0191
|
| 467 |
+
step 4650000 | 48857s | train_loss=0.0182
|
| 468 |
+
step 4660000 | 48954s | train_loss=0.0201
|
| 469 |
+
step 4670000 | 49053s | train_loss=0.0213
|
| 470 |
+
step 4680000 | 49151s | train_loss=0.0203
|
| 471 |
+
step 4690000 | 49250s | train_loss=0.0200
|
| 472 |
+
step 4700000 | 49425s | train_loss=0.0201 | fid=45.4369
|
| 473 |
+
step 4710000 | 49524s | train_loss=0.0195
|
| 474 |
+
step 4720000 | 49620s | train_loss=0.0205
|
| 475 |
+
step 4730000 | 49718s | train_loss=0.0197
|
| 476 |
+
step 4740000 | 49815s | train_loss=0.0192
|
| 477 |
+
step 4750000 | 49915s | train_loss=0.0182
|
| 478 |
+
step 4760000 | 50013s | train_loss=0.0221
|
| 479 |
+
step 4770000 | 50112s | train_loss=0.0187
|
| 480 |
+
step 4780000 | 50211s | train_loss=0.0182
|
| 481 |
+
step 4790000 | 50310s | train_loss=0.0201
|
| 482 |
+
step 4800000 | 50484s | train_loss=0.0195 | fid=45.5588
|
| 483 |
+
step 4810000 | 50583s | train_loss=0.0218
|
| 484 |
+
step 4820000 | 50663s | train_loss=0.0230
|
| 485 |
+
step 4830000 | 50743s | train_loss=0.0197
|
| 486 |
+
step 4840000 | 50822s | train_loss=0.0197
|
| 487 |
+
step 4850000 | 50903s | train_loss=0.0189
|
| 488 |
+
step 4860000 | 50982s | train_loss=0.0198
|
| 489 |
+
step 4870000 | 51062s | train_loss=0.0209
|
| 490 |
+
step 4880000 | 51143s | train_loss=0.0198
|
| 491 |
+
step 4890000 | 51223s | train_loss=0.0205
|
| 492 |
+
step 4900000 | 51365s | train_loss=0.0193 | fid=46.0616
|
| 493 |
+
step 4910000 | 51445s | train_loss=0.0188
|
| 494 |
+
step 4920000 | 51525s | train_loss=0.0205
|
| 495 |
+
step 4930000 | 51606s | train_loss=0.0198
|
| 496 |
+
step 4940000 | 51685s | train_loss=0.0212
|
| 497 |
+
step 4950000 | 51765s | train_loss=0.0190
|
| 498 |
+
step 4960000 | 51842s | train_loss=0.0201
|
| 499 |
+
step 4970000 | 51922s | train_loss=0.0197
|
| 500 |
+
step 4980000 | 52003s | train_loss=0.0198
|
| 501 |
+
step 4990000 | 52084s | train_loss=0.0197
|
| 502 |
+
step 5000000 | 52224s | train_loss=0.0198 | fid=48.9713
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/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/seed45/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": 45,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d20/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/seed45/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 | 72s | train_loss=1.0034 | fid=225.4772
|
| 3 |
+
step 10000 | 163s | train_loss=0.8829
|
| 4 |
+
step 20000 | 256s | train_loss=0.8783
|
| 5 |
+
step 30000 | 349s | train_loss=0.8744
|
| 6 |
+
step 40000 | 442s | train_loss=0.8688
|
| 7 |
+
step 50000 | 535s | train_loss=0.8628
|
| 8 |
+
step 60000 | 628s | train_loss=0.8554
|
| 9 |
+
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|
| 10 |
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|
| 11 |
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| 12 |
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|
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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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| 24 |
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| 25 |
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| 27 |
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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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| 474 |
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| 477 |
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| 479 |
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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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|
| 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/seed45/d200/config.json
ADDED
|
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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/seed45/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 |
+
"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 |
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"t_max": 3.0,
|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
+
"seed": 45,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d200/metrics.jsonl
ADDED
|
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results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d200/runner.log
ADDED
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|
| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 77s | train_loss=1.0028 | fid=309.1138
|
| 3 |
+
step 10000 | 177s | train_loss=0.6356
|
| 4 |
+
step 20000 | 278s | train_loss=0.5214
|
| 5 |
+
step 30000 | 378s | train_loss=0.4640
|
| 6 |
+
step 40000 | 478s | train_loss=0.4210
|
| 7 |
+
step 50000 | 578s | train_loss=0.3664
|
| 8 |
+
step 60000 | 679s | train_loss=0.3122
|
| 9 |
+
step 70000 | 779s | train_loss=0.2724
|
| 10 |
+
step 80000 | 880s | train_loss=0.2302
|
| 11 |
+
step 90000 | 980s | train_loss=0.2040
|
| 12 |
+
step 100000 | 1151s | train_loss=0.1854 | fid=67.6428
|
| 13 |
+
step 110000 | 1251s | train_loss=0.1658
|
| 14 |
+
step 120000 | 1351s | train_loss=0.1546
|
| 15 |
+
step 130000 | 1452s | train_loss=0.1443
|
| 16 |
+
step 140000 | 1553s | train_loss=0.1432
|
| 17 |
+
step 150000 | 1653s | train_loss=0.1308
|
| 18 |
+
step 160000 | 1753s | train_loss=0.1258
|
| 19 |
+
step 170000 | 1856s | train_loss=0.1232
|
| 20 |
+
step 180000 | 1959s | train_loss=0.1169
|
| 21 |
+
step 190000 | 2058s | train_loss=0.1142
|
| 22 |
+
step 200000 | 2232s | train_loss=0.1110 | fid=77.0928
|
| 23 |
+
step 210000 | 2335s | train_loss=0.1047
|
| 24 |
+
step 220000 | 2438s | train_loss=0.1078
|
| 25 |
+
step 230000 | 2541s | train_loss=0.0999
|
| 26 |
+
step 240000 | 2643s | train_loss=0.0981
|
| 27 |
+
step 250000 | 2745s | train_loss=0.0985
|
| 28 |
+
step 260000 | 2845s | train_loss=0.0974
|
| 29 |
+
step 270000 | 2947s | train_loss=0.0969
|
| 30 |
+
step 280000 | 3046s | train_loss=0.0891
|
| 31 |
+
step 290000 | 3148s | train_loss=0.0892
|
| 32 |
+
step 300000 | 3323s | train_loss=0.0903 | fid=89.0995
|
| 33 |
+
step 310000 | 3426s | train_loss=0.0875
|
| 34 |
+
step 320000 | 3529s | train_loss=0.0867
|
| 35 |
+
step 330000 | 3631s | train_loss=0.0802
|
| 36 |
+
step 340000 | 3733s | train_loss=0.0805
|
| 37 |
+
step 350000 | 3834s | train_loss=0.0767
|
| 38 |
+
step 360000 | 3935s | train_loss=0.0792
|
| 39 |
+
step 370000 | 4034s | train_loss=0.0802
|
| 40 |
+
step 380000 | 4136s | train_loss=0.0771
|
| 41 |
+
step 390000 | 4238s | train_loss=0.0750
|
| 42 |
+
step 400000 | 4412s | train_loss=0.0771 | fid=96.2196
|
| 43 |
+
step 410000 | 4515s | train_loss=0.0733
|
| 44 |
+
step 420000 | 4617s | train_loss=0.0720
|
| 45 |
+
step 430000 | 4720s | train_loss=0.0693
|
| 46 |
+
step 440000 | 4822s | train_loss=0.0709
|
| 47 |
+
step 450000 | 4923s | train_loss=0.0698
|
| 48 |
+
step 460000 | 5021s | train_loss=0.0682
|
| 49 |
+
step 470000 | 5123s | train_loss=0.0665
|
| 50 |
+
step 480000 | 5225s | train_loss=0.0692
|
| 51 |
+
step 490000 | 5328s | train_loss=0.0668
|
| 52 |
+
step 500000 | 5502s | train_loss=0.0634 | fid=95.0143
|
| 53 |
+
step 510000 | 5604s | train_loss=0.0701
|
| 54 |
+
step 520000 | 5707s | train_loss=0.0637
|
| 55 |
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step 530000 | 5808s | train_loss=0.0622
|
| 56 |
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|
| 57 |
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step 550000 | 6008s | train_loss=0.0613
|
| 58 |
+
step 560000 | 6110s | train_loss=0.0683
|
| 59 |
+
step 570000 | 6212s | train_loss=0.0622
|
| 60 |
+
step 580000 | 6314s | train_loss=0.0632
|
| 61 |
+
step 590000 | 6418s | train_loss=0.0575
|
| 62 |
+
step 600000 | 6587s | train_loss=0.0585 | fid=97.6045
|
| 63 |
+
step 610000 | 6690s | train_loss=0.0604
|
| 64 |
+
step 620000 | 6791s | train_loss=0.0594
|
| 65 |
+
step 630000 | 6894s | train_loss=0.0556
|
| 66 |
+
step 640000 | 6992s | train_loss=0.0574
|
| 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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|
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step 4140000 | 44939s | train_loss=0.0222
|
| 417 |
+
step 4150000 | 45042s | train_loss=0.0206
|
| 418 |
+
step 4160000 | 45145s | train_loss=0.0219
|
| 419 |
+
step 4170000 | 45245s | train_loss=0.0232
|
| 420 |
+
step 4180000 | 45347s | train_loss=0.0209
|
| 421 |
+
step 4190000 | 45449s | train_loss=0.0228
|
| 422 |
+
step 4200000 | 45619s | train_loss=0.0204 | fid=48.0027
|
| 423 |
+
step 4210000 | 45722s | train_loss=0.0214
|
| 424 |
+
step 4220000 | 45824s | train_loss=0.0207
|
| 425 |
+
step 4230000 | 45927s | train_loss=0.0201
|
| 426 |
+
step 4240000 | 46030s | train_loss=0.0204
|
| 427 |
+
step 4250000 | 46133s | train_loss=0.0228
|
| 428 |
+
step 4260000 | 46236s | train_loss=0.0216
|
| 429 |
+
step 4270000 | 46335s | train_loss=0.0217
|
| 430 |
+
step 4280000 | 46437s | train_loss=0.0220
|
| 431 |
+
step 4290000 | 46539s | train_loss=0.0210
|
| 432 |
+
step 4300000 | 46705s | train_loss=0.0210 | fid=47.1222
|
| 433 |
+
step 4310000 | 46806s | train_loss=0.0205
|
| 434 |
+
step 4320000 | 46909s | train_loss=0.0203
|
| 435 |
+
step 4330000 | 47012s | train_loss=0.0220
|
| 436 |
+
step 4340000 | 47113s | train_loss=0.0208
|
| 437 |
+
step 4350000 | 47216s | train_loss=0.0263
|
| 438 |
+
step 4360000 | 47317s | train_loss=0.0202
|
| 439 |
+
step 4370000 | 47418s | train_loss=0.0203
|
| 440 |
+
step 4380000 | 47521s | train_loss=0.0210
|
| 441 |
+
step 4390000 | 47617s | train_loss=0.0208
|
| 442 |
+
step 4400000 | 47790s | train_loss=0.0211 | fid=42.9458
|
| 443 |
+
step 4410000 | 47893s | train_loss=0.0222
|
| 444 |
+
step 4420000 | 47996s | train_loss=0.0205
|
| 445 |
+
step 4430000 | 48097s | train_loss=0.0232
|
| 446 |
+
step 4440000 | 48200s | train_loss=0.0248
|
| 447 |
+
step 4450000 | 48303s | train_loss=0.0207
|
| 448 |
+
step 4460000 | 48402s | train_loss=0.0223
|
| 449 |
+
step 4470000 | 48504s | train_loss=0.0220
|
| 450 |
+
step 4480000 | 48607s | train_loss=0.0227
|
| 451 |
+
step 4490000 | 48706s | train_loss=0.0202
|
| 452 |
+
step 4500000 | 48883s | train_loss=0.0194 | fid=42.0542
|
| 453 |
+
step 4510000 | 48984s | train_loss=0.0209
|
| 454 |
+
step 4520000 | 49087s | train_loss=0.0202
|
| 455 |
+
step 4530000 | 49190s | train_loss=0.0200
|
| 456 |
+
step 4540000 | 49292s | train_loss=0.0233
|
| 457 |
+
step 4550000 | 49394s | train_loss=0.0201
|
| 458 |
+
step 4560000 | 49495s | train_loss=0.0206
|
| 459 |
+
step 4570000 | 49598s | train_loss=0.0203
|
| 460 |
+
step 4580000 | 49697s | train_loss=0.0211
|
| 461 |
+
step 4590000 | 49796s | train_loss=0.0212
|
| 462 |
+
step 4600000 | 49974s | train_loss=0.0192 | fid=45.0506
|
| 463 |
+
step 4610000 | 50074s | train_loss=0.0223
|
| 464 |
+
step 4620000 | 50174s | train_loss=0.0196
|
| 465 |
+
step 4630000 | 50275s | train_loss=0.0197
|
| 466 |
+
step 4640000 | 50374s | train_loss=0.0196
|
| 467 |
+
step 4650000 | 50472s | train_loss=0.0192
|
| 468 |
+
step 4660000 | 50571s | train_loss=0.0207
|
| 469 |
+
step 4670000 | 50654s | train_loss=0.0207
|
| 470 |
+
step 4680000 | 50735s | train_loss=0.0202
|
| 471 |
+
step 4690000 | 50815s | train_loss=0.0207
|
| 472 |
+
step 4700000 | 50959s | train_loss=0.0209 | fid=42.9424
|
| 473 |
+
step 4710000 | 51040s | train_loss=0.0201
|
| 474 |
+
step 4720000 | 51121s | train_loss=0.0206
|
| 475 |
+
step 4730000 | 51202s | train_loss=0.0200
|
| 476 |
+
step 4740000 | 51283s | train_loss=0.0198
|
| 477 |
+
step 4750000 | 51361s | train_loss=0.0190
|
| 478 |
+
step 4760000 | 51441s | train_loss=0.0237
|
| 479 |
+
step 4770000 | 51522s | train_loss=0.0194
|
| 480 |
+
step 4780000 | 51603s | train_loss=0.0180
|
| 481 |
+
step 4790000 | 51682s | train_loss=0.0194
|
| 482 |
+
step 4800000 | 51832s | train_loss=0.0200 | fid=44.1091
|
| 483 |
+
step 4810000 | 51914s | train_loss=0.0214
|
| 484 |
+
step 4820000 | 51995s | train_loss=0.0231
|
| 485 |
+
step 4830000 | 52076s | train_loss=0.0202
|
| 486 |
+
step 4840000 | 52158s | train_loss=0.0200
|
| 487 |
+
step 4850000 | 52226s | train_loss=0.0191
|
| 488 |
+
step 4860000 | 52267s | train_loss=0.0200
|
| 489 |
+
step 4870000 | 52307s | train_loss=0.0216
|
| 490 |
+
step 4880000 | 52348s | train_loss=0.0204
|
| 491 |
+
step 4890000 | 52375s | train_loss=0.0217
|
| 492 |
+
step 4900000 | 52420s | train_loss=0.0195 | fid=46.4559
|
| 493 |
+
step 4910000 | 52443s | train_loss=0.0198
|
| 494 |
+
step 4920000 | 52467s | train_loss=0.0200
|
| 495 |
+
step 4930000 | 52490s | train_loss=0.0204
|
| 496 |
+
step 4940000 | 52514s | train_loss=0.0211
|
| 497 |
+
step 4950000 | 52537s | train_loss=0.0192
|
| 498 |
+
step 4960000 | 52561s | train_loss=0.0210
|
| 499 |
+
step 4970000 | 52584s | train_loss=0.0206
|
| 500 |
+
step 4980000 | 52608s | train_loss=0.0208
|
| 501 |
+
step 4990000 | 52631s | train_loss=0.0207
|
| 502 |
+
step 5000000 | 52676s | train_loss=0.0194 | fid=42.5611
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/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/seed45/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": 45,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d30/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/seed45/d30/runner.log
ADDED
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@@ -0,0 +1,502 @@
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| 1 |
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FID real-side stats cached over 1000 diverse train images
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| 2 |
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step 1 | 74s | train_loss=0.9941 | fid=248.5675
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| 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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| 32 |
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| 42 |
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| 474 |
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| 480 |
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| 482 |
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| 485 |
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| 487 |
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|
| 489 |
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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/seed45/d40/config.json
ADDED
|
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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/seed45/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 |
+
"total_steps": 5000000,
|
| 8 |
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|
| 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 |
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"t_max": 3.0,
|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
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"seed": 45,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d40/metrics.jsonl
ADDED
|
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results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d40/runner.log
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|
| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 74s | train_loss=0.9971 | fid=275.8813
|
| 3 |
+
step 10000 | 167s | train_loss=0.8480
|
| 4 |
+
step 20000 | 261s | train_loss=0.8191
|
| 5 |
+
step 30000 | 355s | train_loss=0.7638
|
| 6 |
+
step 40000 | 448s | train_loss=0.6788
|
| 7 |
+
step 50000 | 542s | train_loss=0.5490
|
| 8 |
+
step 60000 | 636s | train_loss=0.4041
|
| 9 |
+
step 70000 | 729s | train_loss=0.2958
|
| 10 |
+
step 80000 | 822s | train_loss=0.2308
|
| 11 |
+
step 90000 | 916s | train_loss=0.1923
|
| 12 |
+
step 100000 | 1076s | train_loss=0.1703 | fid=58.3601
|
| 13 |
+
step 110000 | 1168s | train_loss=0.1551
|
| 14 |
+
step 120000 | 1262s | train_loss=0.1418
|
| 15 |
+
step 130000 | 1355s | train_loss=0.1305
|
| 16 |
+
step 140000 | 1448s | train_loss=0.1240
|
| 17 |
+
step 150000 | 1542s | train_loss=0.1157
|
| 18 |
+
step 160000 | 1636s | train_loss=0.1101
|
| 19 |
+
step 170000 | 1730s | train_loss=0.1060
|
| 20 |
+
step 180000 | 1824s | train_loss=0.1013
|
| 21 |
+
step 190000 | 1918s | train_loss=0.0964
|
| 22 |
+
step 200000 | 2079s | train_loss=0.0939 | fid=56.6309
|
| 23 |
+
step 210000 | 2172s | train_loss=0.0899
|
| 24 |
+
step 220000 | 2266s | train_loss=0.0868
|
| 25 |
+
step 230000 | 2360s | train_loss=0.0839
|
| 26 |
+
step 240000 | 2454s | train_loss=0.0800
|
| 27 |
+
step 250000 | 2548s | train_loss=0.0780
|
| 28 |
+
step 260000 | 2642s | train_loss=0.0765
|
| 29 |
+
step 270000 | 2736s | train_loss=0.0735
|
| 30 |
+
step 280000 | 2830s | train_loss=0.0721
|
| 31 |
+
step 290000 | 2922s | train_loss=0.0711
|
| 32 |
+
step 300000 | 3087s | train_loss=0.0679 | fid=56.6406
|
| 33 |
+
step 310000 | 3181s | train_loss=0.0669
|
| 34 |
+
step 320000 | 3274s | train_loss=0.0655
|
| 35 |
+
step 330000 | 3368s | train_loss=0.0648
|
| 36 |
+
step 340000 | 3462s | train_loss=0.0624
|
| 37 |
+
step 350000 | 3557s | train_loss=0.0603
|
| 38 |
+
step 360000 | 3651s | train_loss=0.0594
|
| 39 |
+
step 370000 | 3745s | train_loss=0.0586
|
| 40 |
+
step 380000 | 3838s | train_loss=0.0579
|
| 41 |
+
step 390000 | 3930s | train_loss=0.0570
|
| 42 |
+
step 400000 | 4096s | train_loss=0.0563 | fid=56.6248
|
| 43 |
+
step 410000 | 4190s | train_loss=0.0542
|
| 44 |
+
step 420000 | 4283s | train_loss=0.0542
|
| 45 |
+
step 430000 | 4377s | train_loss=0.0529
|
| 46 |
+
step 440000 | 4471s | train_loss=0.0517
|
| 47 |
+
step 450000 | 4565s | train_loss=0.0515
|
| 48 |
+
step 460000 | 4660s | train_loss=0.0505
|
| 49 |
+
step 470000 | 4753s | train_loss=0.0495
|
| 50 |
+
step 480000 | 4844s | train_loss=0.0489
|
| 51 |
+
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|
| 52 |
+
step 500000 | 5104s | train_loss=0.0482 | fid=55.8854
|
| 53 |
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step 510000 | 5198s | train_loss=0.0474
|
| 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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step 560000 | 5667s | train_loss=0.0442
|
| 59 |
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step 570000 | 5757s | train_loss=0.0435
|
| 60 |
+
step 580000 | 5851s | train_loss=0.0438
|
| 61 |
+
step 590000 | 5946s | train_loss=0.0431
|
| 62 |
+
step 600000 | 6111s | train_loss=0.0426 | fid=54.4745
|
| 63 |
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step 610000 | 6205s | train_loss=0.0420
|
| 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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| 411 |
+
step 4090000 | 40980s | train_loss=0.0107
|
| 412 |
+
step 4100000 | 41149s | train_loss=0.0106 | fid=51.3785
|
| 413 |
+
step 4110000 | 41244s | train_loss=0.0109
|
| 414 |
+
step 4120000 | 41337s | train_loss=0.0105
|
| 415 |
+
step 4130000 | 41432s | train_loss=0.0109
|
| 416 |
+
step 4140000 | 41526s | train_loss=0.0108
|
| 417 |
+
step 4150000 | 41621s | train_loss=0.0106
|
| 418 |
+
step 4160000 | 41716s | train_loss=0.0108
|
| 419 |
+
step 4170000 | 41805s | train_loss=0.0105
|
| 420 |
+
step 4180000 | 41893s | train_loss=0.0107
|
| 421 |
+
step 4190000 | 41986s | train_loss=0.0104
|
| 422 |
+
step 4200000 | 42156s | train_loss=0.0107 | fid=51.7140
|
| 423 |
+
step 4210000 | 42249s | train_loss=0.0110
|
| 424 |
+
step 4220000 | 42343s | train_loss=0.0108
|
| 425 |
+
step 4230000 | 42438s | train_loss=0.0105
|
| 426 |
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step 4240000 | 42534s | train_loss=0.0106
|
| 427 |
+
step 4250000 | 42627s | train_loss=0.0106
|
| 428 |
+
step 4260000 | 42723s | train_loss=0.0107
|
| 429 |
+
step 4270000 | 42809s | train_loss=0.0107
|
| 430 |
+
step 4280000 | 42898s | train_loss=0.0104
|
| 431 |
+
step 4290000 | 42992s | train_loss=0.0102
|
| 432 |
+
step 4300000 | 43161s | train_loss=0.0101 | fid=52.1782
|
| 433 |
+
step 4310000 | 43255s | train_loss=0.0104
|
| 434 |
+
step 4320000 | 43349s | train_loss=0.0108
|
| 435 |
+
step 4330000 | 43444s | train_loss=0.0105
|
| 436 |
+
step 4340000 | 43540s | train_loss=0.0109
|
| 437 |
+
step 4350000 | 43634s | train_loss=0.0101
|
| 438 |
+
step 4360000 | 43729s | train_loss=0.0106
|
| 439 |
+
step 4370000 | 43814s | train_loss=0.0107
|
| 440 |
+
step 4380000 | 43904s | train_loss=0.0102
|
| 441 |
+
step 4390000 | 43998s | train_loss=0.0104
|
| 442 |
+
step 4400000 | 44167s | train_loss=0.0102 | fid=51.4253
|
| 443 |
+
step 4410000 | 44263s | train_loss=0.0102
|
| 444 |
+
step 4420000 | 44356s | train_loss=0.0100
|
| 445 |
+
step 4430000 | 44452s | train_loss=0.0104
|
| 446 |
+
step 4440000 | 44547s | train_loss=0.0100
|
| 447 |
+
step 4450000 | 44642s | train_loss=0.0105
|
| 448 |
+
step 4460000 | 44735s | train_loss=0.0103
|
| 449 |
+
step 4470000 | 44819s | train_loss=0.0102
|
| 450 |
+
step 4480000 | 44908s | train_loss=0.0099
|
| 451 |
+
step 4490000 | 45002s | train_loss=0.0098
|
| 452 |
+
step 4500000 | 45171s | train_loss=0.0099 | fid=52.7478
|
| 453 |
+
step 4510000 | 45267s | train_loss=0.0101
|
| 454 |
+
step 4520000 | 45359s | train_loss=0.0101
|
| 455 |
+
step 4530000 | 45455s | train_loss=0.0107
|
| 456 |
+
step 4540000 | 45550s | train_loss=0.0098
|
| 457 |
+
step 4550000 | 45646s | train_loss=0.0105
|
| 458 |
+
step 4560000 | 45739s | train_loss=0.0096
|
| 459 |
+
step 4570000 | 45826s | train_loss=0.0100
|
| 460 |
+
step 4580000 | 45917s | train_loss=0.0102
|
| 461 |
+
step 4590000 | 46011s | train_loss=0.0104
|
| 462 |
+
step 4600000 | 46180s | train_loss=0.0097 | fid=50.8286
|
| 463 |
+
step 4610000 | 46276s | train_loss=0.0099
|
| 464 |
+
step 4620000 | 46369s | train_loss=0.0102
|
| 465 |
+
step 4630000 | 46464s | train_loss=0.0095
|
| 466 |
+
step 4640000 | 46559s | train_loss=0.0096
|
| 467 |
+
step 4650000 | 46654s | train_loss=0.0095
|
| 468 |
+
step 4660000 | 46747s | train_loss=0.0096
|
| 469 |
+
step 4670000 | 46831s | train_loss=0.0095
|
| 470 |
+
step 4680000 | 46924s | train_loss=0.0102
|
| 471 |
+
step 4690000 | 47018s | train_loss=0.0094
|
| 472 |
+
step 4700000 | 47188s | train_loss=0.0097 | fid=51.9800
|
| 473 |
+
step 4710000 | 47284s | train_loss=0.0098
|
| 474 |
+
step 4720000 | 47378s | train_loss=0.0097
|
| 475 |
+
step 4730000 | 47472s | train_loss=0.0093
|
| 476 |
+
step 4740000 | 47567s | train_loss=0.0109
|
| 477 |
+
step 4750000 | 47662s | train_loss=0.0100
|
| 478 |
+
step 4760000 | 47758s | train_loss=0.0097
|
| 479 |
+
step 4770000 | 47845s | train_loss=0.0094
|
| 480 |
+
step 4780000 | 47939s | train_loss=0.0095
|
| 481 |
+
step 4790000 | 48033s | train_loss=0.0095
|
| 482 |
+
step 4800000 | 48203s | train_loss=0.0095 | fid=51.4121
|
| 483 |
+
step 4810000 | 48299s | train_loss=0.0095
|
| 484 |
+
step 4820000 | 48393s | train_loss=0.0093
|
| 485 |
+
step 4830000 | 48488s | train_loss=0.0093
|
| 486 |
+
step 4840000 | 48583s | train_loss=0.0093
|
| 487 |
+
step 4850000 | 48678s | train_loss=0.0096
|
| 488 |
+
step 4860000 | 48769s | train_loss=0.0091
|
| 489 |
+
step 4870000 | 48845s | train_loss=0.0093
|
| 490 |
+
step 4880000 | 48923s | train_loss=0.0097
|
| 491 |
+
step 4890000 | 48999s | train_loss=0.0094
|
| 492 |
+
step 4900000 | 49139s | train_loss=0.0099 | fid=52.4284
|
| 493 |
+
step 4910000 | 49216s | train_loss=0.0097
|
| 494 |
+
step 4920000 | 49291s | train_loss=0.0091
|
| 495 |
+
step 4930000 | 49369s | train_loss=0.0090
|
| 496 |
+
step 4940000 | 49447s | train_loss=0.0090
|
| 497 |
+
step 4950000 | 49525s | train_loss=0.0096
|
| 498 |
+
step 4960000 | 49603s | train_loss=0.0092
|
| 499 |
+
step 4970000 | 49681s | train_loss=0.0095
|
| 500 |
+
step 4980000 | 49756s | train_loss=0.0092
|
| 501 |
+
step 4990000 | 49835s | train_loss=0.0091
|
| 502 |
+
step 5000000 | 49941s | train_loss=0.0096 | fid=51.4480
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/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/seed45/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": 45,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d50/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/seed45/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 | 70s | train_loss=1.0033 | fid=242.1853
|
| 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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| 42 |
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|
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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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|
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|
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|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d60/config.json
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|
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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/seed45/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 |
+
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|
| 7 |
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"total_steps": 5000000,
|
| 8 |
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|
| 9 |
+
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|
| 10 |
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"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 |
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"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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"t_min": 0.01,
|
| 22 |
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|
| 23 |
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"t_eval": 0.1,
|
| 24 |
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"seed": 45,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d60/metrics.jsonl
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|
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results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d60/runner.log
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|
| 1 |
+
FID real-side stats cached over 1000 diverse train images
|
| 2 |
+
step 1 | 69s | train_loss=1.0004 | fid=302.2531
|
| 3 |
+
step 10000 | 156s | train_loss=0.8377
|
| 4 |
+
step 20000 | 249s | train_loss=0.7605
|
| 5 |
+
step 30000 | 342s | train_loss=0.6517
|
| 6 |
+
step 40000 | 435s | train_loss=0.4969
|
| 7 |
+
step 50000 | 528s | train_loss=0.3412
|
| 8 |
+
step 60000 | 620s | train_loss=0.2415
|
| 9 |
+
step 70000 | 713s | train_loss=0.1928
|
| 10 |
+
step 80000 | 805s | train_loss=0.1620
|
| 11 |
+
step 90000 | 898s | train_loss=0.1466
|
| 12 |
+
step 100000 | 1058s | train_loss=0.1340 | fid=55.4319
|
| 13 |
+
step 110000 | 1146s | train_loss=0.1246
|
| 14 |
+
step 120000 | 1239s | train_loss=0.1180
|
| 15 |
+
step 130000 | 1332s | train_loss=0.1132
|
| 16 |
+
step 140000 | 1424s | train_loss=0.1070
|
| 17 |
+
step 150000 | 1518s | train_loss=0.1007
|
| 18 |
+
step 160000 | 1611s | train_loss=0.0971
|
| 19 |
+
step 170000 | 1704s | train_loss=0.0928
|
| 20 |
+
step 180000 | 1797s | train_loss=0.0901
|
| 21 |
+
step 190000 | 1890s | train_loss=0.0867
|
| 22 |
+
step 200000 | 2052s | train_loss=0.0835 | fid=53.7858
|
| 23 |
+
step 210000 | 2141s | train_loss=0.0817
|
| 24 |
+
step 220000 | 2234s | train_loss=0.0791
|
| 25 |
+
step 230000 | 2327s | train_loss=0.0759
|
| 26 |
+
step 240000 | 2420s | train_loss=0.0741
|
| 27 |
+
step 250000 | 2514s | train_loss=0.0718
|
| 28 |
+
step 260000 | 2607s | train_loss=0.0708
|
| 29 |
+
step 270000 | 2700s | train_loss=0.0693
|
| 30 |
+
step 280000 | 2793s | train_loss=0.0674
|
| 31 |
+
step 290000 | 2884s | train_loss=0.0655
|
| 32 |
+
step 300000 | 3049s | train_loss=0.0633 | fid=51.3606
|
| 33 |
+
step 310000 | 3140s | train_loss=0.0640
|
| 34 |
+
step 320000 | 3232s | train_loss=0.0610
|
| 35 |
+
step 330000 | 3325s | train_loss=0.0607
|
| 36 |
+
step 340000 | 3418s | train_loss=0.0593
|
| 37 |
+
step 350000 | 3512s | train_loss=0.0583
|
| 38 |
+
step 360000 | 3605s | train_loss=0.0572
|
| 39 |
+
step 370000 | 3698s | train_loss=0.0559
|
| 40 |
+
step 380000 | 3791s | train_loss=0.0554
|
| 41 |
+
step 390000 | 3880s | train_loss=0.0547
|
| 42 |
+
step 400000 | 4047s | train_loss=0.0533 | fid=51.0974
|
| 43 |
+
step 410000 | 4138s | train_loss=0.0527
|
| 44 |
+
step 420000 | 4230s | train_loss=0.0530
|
| 45 |
+
step 430000 | 4323s | train_loss=0.0519
|
| 46 |
+
step 440000 | 4416s | train_loss=0.0506
|
| 47 |
+
step 450000 | 4509s | train_loss=0.0499
|
| 48 |
+
step 460000 | 4602s | train_loss=0.0492
|
| 49 |
+
step 470000 | 4695s | train_loss=0.0487
|
| 50 |
+
step 480000 | 4785s | train_loss=0.0480
|
| 51 |
+
step 490000 | 4876s | train_loss=0.0481
|
| 52 |
+
step 500000 | 5042s | train_loss=0.0480 | fid=50.6802
|
| 53 |
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step 510000 | 5136s | train_loss=0.0466
|
| 54 |
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step 520000 | 5226s | train_loss=0.0459
|
| 55 |
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step 530000 | 5317s | train_loss=0.0458
|
| 56 |
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step 540000 | 5410s | train_loss=0.0449
|
| 57 |
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|
| 58 |
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step 560000 | 5596s | train_loss=0.0440
|
| 59 |
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step 570000 | 5689s | train_loss=0.0438
|
| 60 |
+
step 580000 | 5777s | train_loss=0.0435
|
| 61 |
+
step 590000 | 5870s | train_loss=0.0443
|
| 62 |
+
step 600000 | 6037s | train_loss=0.0435 | fid=48.7920
|
| 63 |
+
step 610000 | 6130s | train_loss=0.0427
|
| 64 |
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step 620000 | 6221s | train_loss=0.0425
|
| 65 |
+
step 630000 | 6312s | train_loss=0.0414
|
| 66 |
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step 640000 | 6405s | train_loss=0.0416
|
| 67 |
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step 650000 | 6498s | train_loss=0.0407
|
| 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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step 4030000 | 39462s | train_loss=0.0103
|
| 406 |
+
step 4040000 | 39556s | train_loss=0.0108
|
| 407 |
+
step 4050000 | 39649s | train_loss=0.0108
|
| 408 |
+
step 4060000 | 39742s | train_loss=0.0107
|
| 409 |
+
step 4070000 | 39834s | train_loss=0.0101
|
| 410 |
+
step 4080000 | 39920s | train_loss=0.0106
|
| 411 |
+
step 4090000 | 40000s | train_loss=0.0102
|
| 412 |
+
step 4100000 | 40156s | train_loss=0.0098 | fid=44.2713
|
| 413 |
+
step 4110000 | 40237s | train_loss=0.0101
|
| 414 |
+
step 4120000 | 40326s | train_loss=0.0102
|
| 415 |
+
step 4130000 | 40419s | train_loss=0.0104
|
| 416 |
+
step 4140000 | 40513s | train_loss=0.0098
|
| 417 |
+
step 4150000 | 40606s | train_loss=0.0105
|
| 418 |
+
step 4160000 | 40699s | train_loss=0.0103
|
| 419 |
+
step 4170000 | 40793s | train_loss=0.0098
|
| 420 |
+
step 4180000 | 40883s | train_loss=0.0104
|
| 421 |
+
step 4190000 | 40964s | train_loss=0.0100
|
| 422 |
+
step 4200000 | 41130s | train_loss=0.0100 | fid=44.9403
|
| 423 |
+
step 4210000 | 41202s | train_loss=0.0100
|
| 424 |
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step 4220000 | 41289s | train_loss=0.0098
|
| 425 |
+
step 4230000 | 41382s | train_loss=0.0099
|
| 426 |
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step 4240000 | 41475s | train_loss=0.0100
|
| 427 |
+
step 4250000 | 41568s | train_loss=0.0106
|
| 428 |
+
step 4260000 | 41661s | train_loss=0.0101
|
| 429 |
+
step 4270000 | 41754s | train_loss=0.0101
|
| 430 |
+
step 4280000 | 41845s | train_loss=0.0100
|
| 431 |
+
step 4290000 | 41922s | train_loss=0.0097
|
| 432 |
+
step 4300000 | 42087s | train_loss=0.0097 | fid=44.3572
|
| 433 |
+
step 4310000 | 42173s | train_loss=0.0102
|
| 434 |
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step 4320000 | 42241s | train_loss=0.0102
|
| 435 |
+
step 4330000 | 42335s | train_loss=0.0099
|
| 436 |
+
step 4340000 | 42428s | train_loss=0.0104
|
| 437 |
+
step 4350000 | 42521s | train_loss=0.0094
|
| 438 |
+
step 4360000 | 42615s | train_loss=0.0112
|
| 439 |
+
step 4370000 | 42708s | train_loss=0.0098
|
| 440 |
+
step 4380000 | 42801s | train_loss=0.0097
|
| 441 |
+
step 4390000 | 42883s | train_loss=0.0103
|
| 442 |
+
step 4400000 | 43050s | train_loss=0.0096 | fid=44.5305
|
| 443 |
+
step 4410000 | 43137s | train_loss=0.0102
|
| 444 |
+
step 4420000 | 43221s | train_loss=0.0094
|
| 445 |
+
step 4430000 | 43299s | train_loss=0.0096
|
| 446 |
+
step 4440000 | 43392s | train_loss=0.0095
|
| 447 |
+
step 4450000 | 43485s | train_loss=0.0095
|
| 448 |
+
step 4460000 | 43579s | train_loss=0.0100
|
| 449 |
+
step 4470000 | 43672s | train_loss=0.0099
|
| 450 |
+
step 4480000 | 43764s | train_loss=0.0097
|
| 451 |
+
step 4490000 | 43845s | train_loss=0.0093
|
| 452 |
+
step 4500000 | 44010s | train_loss=0.0103 | fid=44.6985
|
| 453 |
+
step 4510000 | 44100s | train_loss=0.0096
|
| 454 |
+
step 4520000 | 44183s | train_loss=0.0095
|
| 455 |
+
step 4530000 | 44272s | train_loss=0.0094
|
| 456 |
+
step 4540000 | 44356s | train_loss=0.0094
|
| 457 |
+
step 4550000 | 44449s | train_loss=0.0096
|
| 458 |
+
step 4560000 | 44542s | train_loss=0.0092
|
| 459 |
+
step 4570000 | 44635s | train_loss=0.0095
|
| 460 |
+
step 4580000 | 44725s | train_loss=0.0100
|
| 461 |
+
step 4590000 | 44807s | train_loss=0.0094
|
| 462 |
+
step 4600000 | 44972s | train_loss=0.0095 | fid=44.3366
|
| 463 |
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step 4610000 | 45064s | train_loss=0.0092
|
| 464 |
+
step 4620000 | 45144s | train_loss=0.0098
|
| 465 |
+
step 4630000 | 45237s | train_loss=0.0091
|
| 466 |
+
step 4640000 | 45322s | train_loss=0.0090
|
| 467 |
+
step 4650000 | 45406s | train_loss=0.0098
|
| 468 |
+
step 4660000 | 45500s | train_loss=0.0092
|
| 469 |
+
step 4670000 | 45593s | train_loss=0.0091
|
| 470 |
+
step 4680000 | 45684s | train_loss=0.0092
|
| 471 |
+
step 4690000 | 45766s | train_loss=0.0089
|
| 472 |
+
step 4700000 | 45931s | train_loss=0.0091 | fid=43.8924
|
| 473 |
+
step 4710000 | 46024s | train_loss=0.0090
|
| 474 |
+
step 4720000 | 46104s | train_loss=0.0096
|
| 475 |
+
step 4730000 | 46198s | train_loss=0.0090
|
| 476 |
+
step 4740000 | 46291s | train_loss=0.0098
|
| 477 |
+
step 4750000 | 46376s | train_loss=0.0093
|
| 478 |
+
step 4760000 | 46464s | train_loss=0.0093
|
| 479 |
+
step 4770000 | 46557s | train_loss=0.0088
|
| 480 |
+
step 4780000 | 46647s | train_loss=0.0092
|
| 481 |
+
step 4790000 | 46736s | train_loss=0.0093
|
| 482 |
+
step 4800000 | 46901s | train_loss=0.0090 | fid=43.8631
|
| 483 |
+
step 4810000 | 46994s | train_loss=0.0087
|
| 484 |
+
step 4820000 | 47072s | train_loss=0.0090
|
| 485 |
+
step 4830000 | 47166s | train_loss=0.0094
|
| 486 |
+
step 4840000 | 47259s | train_loss=0.0091
|
| 487 |
+
step 4850000 | 47352s | train_loss=0.0087
|
| 488 |
+
step 4860000 | 47433s | train_loss=0.0089
|
| 489 |
+
step 4870000 | 47524s | train_loss=0.0087
|
| 490 |
+
step 4880000 | 47608s | train_loss=0.0088
|
| 491 |
+
step 4890000 | 47683s | train_loss=0.0088
|
| 492 |
+
step 4900000 | 47825s | train_loss=0.0094 | fid=44.4404
|
| 493 |
+
step 4910000 | 47900s | train_loss=0.0085
|
| 494 |
+
step 4920000 | 47958s | train_loss=0.0086
|
| 495 |
+
step 4930000 | 48016s | train_loss=0.0084
|
| 496 |
+
step 4940000 | 48073s | train_loss=0.0088
|
| 497 |
+
step 4950000 | 48131s | train_loss=0.0089
|
| 498 |
+
step 4960000 | 48189s | train_loss=0.0086
|
| 499 |
+
step 4970000 | 48241s | train_loss=0.0087
|
| 500 |
+
step 4980000 | 48299s | train_loss=0.0085
|
| 501 |
+
step 4990000 | 48356s | train_loss=0.0087
|
| 502 |
+
step 5000000 | 48466s | train_loss=0.0087 | fid=43.9021
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/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/seed45/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": 45,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/d70/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/seed45/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 | 70s | train_loss=1.0024 | fid=282.3384
|
| 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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| 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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| 44 |
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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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|
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|
results/celeba_diverse1k_bigmlp_sgd_lr001_m08_10k_5m/seed45/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/seed45/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 |
+
"total_steps": 5000000,
|
| 8 |
+
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|
| 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 |
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|
| 23 |
+
"t_eval": 0.1,
|
| 24 |
+
"seed": 45,
|
| 25 |
+
"device": null
|
| 26 |
+
}
|