Upload celebahq checkpoint and training logs
Browse files
celebahq/ckpt/step024999/model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb496017e2004d06358f7ec0fc2061eedee5960f9452cf5a21405949188bb463
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size 295650001
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celebahq/config-2023-02-04-11-41-44.yaml
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DATA:
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DATAROOT: /data/CelebA-HQ/
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IMG_SIZE: 128
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NAME: CelebA-HQ
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DATALOADER:
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BATCH_SIZE: 256
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MICRO_BATCH: 0
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NUM_WORKERS: 8
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PIN_MEMORY: true
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PREFETCH_FACTOR: 2
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EVALUATE:
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N_EVAL: 0
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MODEL:
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WEIGHTS: null
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SAMPLE:
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N_SAMPLES: 100
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RANDOM: false
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SAVE_DIR: ./samples/
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SEED: 1234
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TRAIN:
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EVAL_FREQ: 400
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LAMBDA_ADV: 0.001
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LAMBDA_REC: 0.999
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OPTIM_D:
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BETAS: &id001
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- 0.5
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- 0.999
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LR: 0.0002
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OPTIM_G:
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BETAS: *id001
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LR: 0.002
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PRINT_FREQ: 100
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RESUME: null
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SAMPLE_FREQ: 400
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SAVE_FREQ: 5000
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TRAIN_STEPS: 40000
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celebahq/output-2023-02-04-11-41-44.log
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| 1 |
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2023-02-04 11:41:45,089 - INFO - Experiment directory: runs/exp-2023-02-04-11-41-44
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| 2 |
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2023-02-04 11:41:45,089 - INFO - Device: cuda
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| 3 |
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2023-02-04 11:41:45,089 - INFO - Number of devices: 1
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| 4 |
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2023-02-04 11:41:45,229 - INFO - Size of training set: 24183
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| 5 |
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2023-02-04 11:41:45,229 - INFO - Size of validation set: 2993
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| 6 |
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2023-02-04 11:41:45,230 - INFO - Batch size per device: 256
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| 7 |
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2023-02-04 11:41:45,230 - INFO - Effective batch size: 256
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| 8 |
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2023-02-04 11:41:46,327 - INFO - Start training...
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| 9 |
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2023-02-04 11:42:23,177 - INFO - [Train] step: 99, loss_advD: 1.205003, lr_D: 0.000200
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| 10 |
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2023-02-04 11:42:23,249 - INFO - [Train] step: 99, loss_advG: 1.022005, loss_rec: 0.070638, lr_G: 0.002000
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| 11 |
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2023-02-04 11:42:58,827 - INFO - [Train] step: 199, loss_advD: 0.753818, lr_D: 0.000200
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| 12 |
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2023-02-04 11:42:58,899 - INFO - [Train] step: 199, loss_advG: 3.215517, loss_rec: 0.059837, lr_G: 0.002000
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| 13 |
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2023-02-04 11:43:33,327 - INFO - [Train] step: 299, loss_advD: 1.116032, lr_D: 0.000200
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| 14 |
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2023-02-04 11:43:33,399 - INFO - [Train] step: 299, loss_advG: 0.679467, loss_rec: 0.046535, lr_G: 0.002000
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| 15 |
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2023-02-04 11:44:06,334 - INFO - [Train] step: 399, loss_advD: 0.446377, lr_D: 0.000200
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| 16 |
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2023-02-04 11:44:06,406 - INFO - [Train] step: 399, loss_advG: 3.151443, loss_rec: 0.051125, lr_G: 0.002000
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| 17 |
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2023-02-04 11:44:14,395 - INFO - [Eval] step: 399, psnr: 18.835869, ssim: 0.559368, l1: 0.081006
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| 18 |
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2023-02-04 11:44:46,037 - INFO - [Train] step: 499, loss_advD: 0.257803, lr_D: 0.000200
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| 19 |
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2023-02-04 11:44:46,108 - INFO - [Train] step: 499, loss_advG: 2.644725, loss_rec: 0.046856, lr_G: 0.002000
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| 20 |
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2023-02-04 11:45:20,445 - INFO - [Train] step: 599, loss_advD: 0.421088, lr_D: 0.000200
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| 21 |
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2023-02-04 11:45:20,517 - INFO - [Train] step: 599, loss_advG: 3.197667, loss_rec: 0.046038, lr_G: 0.002000
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| 22 |
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2023-02-04 11:45:54,838 - INFO - [Train] step: 699, loss_advD: 0.362898, lr_D: 0.000200
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| 23 |
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2023-02-04 11:45:54,917 - INFO - [Train] step: 699, loss_advG: 4.726240, loss_rec: 0.042142, lr_G: 0.002000
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| 24 |
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2023-02-04 11:46:27,412 - INFO - [Train] step: 799, loss_advD: 0.247770, lr_D: 0.000200
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| 25 |
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2023-02-04 11:46:27,484 - INFO - [Train] step: 799, loss_advG: 1.361519, loss_rec: 0.039022, lr_G: 0.002000
|
| 26 |
+
2023-02-04 11:46:35,341 - INFO - [Eval] step: 799, psnr: 19.161959, ssim: 0.582526, l1: 0.076477
|
| 27 |
+
2023-02-04 11:47:07,325 - INFO - [Train] step: 899, loss_advD: 0.518981, lr_D: 0.000200
|
| 28 |
+
2023-02-04 11:47:07,397 - INFO - [Train] step: 899, loss_advG: 0.671962, loss_rec: 0.037330, lr_G: 0.002000
|
| 29 |
+
2023-02-04 11:47:41,715 - INFO - [Train] step: 999, loss_advD: 0.805588, lr_D: 0.000200
|
| 30 |
+
2023-02-04 11:47:41,787 - INFO - [Train] step: 999, loss_advG: 4.650136, loss_rec: 0.033516, lr_G: 0.002000
|
| 31 |
+
2023-02-04 11:48:15,661 - INFO - [Train] step: 1099, loss_advD: 1.532889, lr_D: 0.000200
|
| 32 |
+
2023-02-04 11:48:15,740 - INFO - [Train] step: 1099, loss_advG: 0.331568, loss_rec: 0.032969, lr_G: 0.002000
|
| 33 |
+
2023-02-04 11:48:49,896 - INFO - [Train] step: 1199, loss_advD: 1.187293, lr_D: 0.000200
|
| 34 |
+
2023-02-04 11:48:49,967 - INFO - [Train] step: 1199, loss_advG: 0.360036, loss_rec: 0.034199, lr_G: 0.002000
|
| 35 |
+
2023-02-04 11:48:57,563 - INFO - [Eval] step: 1199, psnr: 19.291166, ssim: 0.588340, l1: 0.073209
|
| 36 |
+
2023-02-04 11:49:29,769 - INFO - [Train] step: 1299, loss_advD: 1.682817, lr_D: 0.000200
|
| 37 |
+
2023-02-04 11:49:29,841 - INFO - [Train] step: 1299, loss_advG: 0.244666, loss_rec: 0.031204, lr_G: 0.002000
|
| 38 |
+
2023-02-04 11:50:05,604 - INFO - [Train] step: 1399, loss_advD: 0.767373, lr_D: 0.000200
|
| 39 |
+
2023-02-04 11:50:05,675 - INFO - [Train] step: 1399, loss_advG: 1.456116, loss_rec: 0.028489, lr_G: 0.002000
|
| 40 |
+
2023-02-04 11:50:39,810 - INFO - [Train] step: 1499, loss_advD: 0.824081, lr_D: 0.000200
|
| 41 |
+
2023-02-04 11:50:39,881 - INFO - [Train] step: 1499, loss_advG: 0.539649, loss_rec: 0.025133, lr_G: 0.002000
|
| 42 |
+
2023-02-04 11:51:15,609 - INFO - [Train] step: 1599, loss_advD: 0.649457, lr_D: 0.000200
|
| 43 |
+
2023-02-04 11:51:15,681 - INFO - [Train] step: 1599, loss_advG: 2.554893, loss_rec: 0.022051, lr_G: 0.002000
|
| 44 |
+
2023-02-04 11:51:22,650 - INFO - [Eval] step: 1599, psnr: 19.236092, ssim: 0.590912, l1: 0.073485
|
| 45 |
+
2023-02-04 11:51:52,963 - INFO - [Train] step: 1699, loss_advD: 1.381429, lr_D: 0.000200
|
| 46 |
+
2023-02-04 11:51:53,035 - INFO - [Train] step: 1699, loss_advG: 1.411673, loss_rec: 0.022667, lr_G: 0.002000
|
| 47 |
+
2023-02-04 11:52:27,437 - INFO - [Train] step: 1799, loss_advD: 0.919225, lr_D: 0.000200
|
| 48 |
+
2023-02-04 11:52:27,509 - INFO - [Train] step: 1799, loss_advG: 2.590918, loss_rec: 0.018534, lr_G: 0.002000
|
| 49 |
+
2023-02-04 11:53:02,064 - INFO - [Train] step: 1899, loss_advD: 1.352981, lr_D: 0.000200
|
| 50 |
+
2023-02-04 11:53:02,136 - INFO - [Train] step: 1899, loss_advG: 0.996747, loss_rec: 0.018337, lr_G: 0.002000
|
| 51 |
+
2023-02-04 11:53:36,398 - INFO - [Train] step: 1999, loss_advD: 1.054318, lr_D: 0.000200
|
| 52 |
+
2023-02-04 11:53:36,470 - INFO - [Train] step: 1999, loss_advG: 0.715706, loss_rec: 0.016841, lr_G: 0.002000
|
| 53 |
+
2023-02-04 11:53:43,546 - INFO - [Eval] step: 1999, psnr: 19.355993, ssim: 0.590561, l1: 0.072570
|
| 54 |
+
2023-02-04 11:54:15,221 - INFO - [Train] step: 2099, loss_advD: 0.957541, lr_D: 0.000200
|
| 55 |
+
2023-02-04 11:54:15,293 - INFO - [Train] step: 2099, loss_advG: 1.725653, loss_rec: 0.016475, lr_G: 0.002000
|
| 56 |
+
2023-02-04 11:54:49,760 - INFO - [Train] step: 2199, loss_advD: 1.061101, lr_D: 0.000200
|
| 57 |
+
2023-02-04 11:54:49,832 - INFO - [Train] step: 2199, loss_advG: 0.881782, loss_rec: 0.015978, lr_G: 0.002000
|
| 58 |
+
2023-02-04 11:55:25,146 - INFO - [Train] step: 2299, loss_advD: 0.818818, lr_D: 0.000200
|
| 59 |
+
2023-02-04 11:55:25,218 - INFO - [Train] step: 2299, loss_advG: 1.981747, loss_rec: 0.015191, lr_G: 0.002000
|
| 60 |
+
2023-02-04 11:55:59,410 - INFO - [Train] step: 2399, loss_advD: 1.204859, lr_D: 0.000200
|
| 61 |
+
2023-02-04 11:55:59,482 - INFO - [Train] step: 2399, loss_advG: 1.135321, loss_rec: 0.017326, lr_G: 0.002000
|
| 62 |
+
2023-02-04 11:56:06,534 - INFO - [Eval] step: 2399, psnr: 19.165588, ssim: 0.581852, l1: 0.075190
|
| 63 |
+
2023-02-04 11:56:37,447 - INFO - [Train] step: 2499, loss_advD: 1.151886, lr_D: 0.000200
|
| 64 |
+
2023-02-04 11:56:37,519 - INFO - [Train] step: 2499, loss_advG: 1.218747, loss_rec: 0.014830, lr_G: 0.002000
|
| 65 |
+
2023-02-04 11:57:11,690 - INFO - [Train] step: 2599, loss_advD: 1.578542, lr_D: 0.000200
|
| 66 |
+
2023-02-04 11:57:11,762 - INFO - [Train] step: 2599, loss_advG: 0.766899, loss_rec: 0.014872, lr_G: 0.002000
|
| 67 |
+
2023-02-04 11:57:47,503 - INFO - [Train] step: 2699, loss_advD: 1.173764, lr_D: 0.000200
|
| 68 |
+
2023-02-04 11:57:47,575 - INFO - [Train] step: 2699, loss_advG: 1.293998, loss_rec: 0.012741, lr_G: 0.002000
|
| 69 |
+
2023-02-04 11:58:21,570 - INFO - [Train] step: 2799, loss_advD: 1.367665, lr_D: 0.000200
|
| 70 |
+
2023-02-04 11:58:21,643 - INFO - [Train] step: 2799, loss_advG: 0.606029, loss_rec: 0.013213, lr_G: 0.002000
|
| 71 |
+
2023-02-04 11:58:28,808 - INFO - [Eval] step: 2799, psnr: 19.215075, ssim: 0.583083, l1: 0.074059
|
| 72 |
+
2023-02-04 11:58:59,600 - INFO - [Train] step: 2899, loss_advD: 1.393788, lr_D: 0.000200
|
| 73 |
+
2023-02-04 11:58:59,671 - INFO - [Train] step: 2899, loss_advG: 0.619701, loss_rec: 0.014091, lr_G: 0.002000
|
| 74 |
+
2023-02-04 11:59:33,278 - INFO - [Train] step: 2999, loss_advD: 0.928656, lr_D: 0.000200
|
| 75 |
+
2023-02-04 11:59:33,350 - INFO - [Train] step: 2999, loss_advG: 1.651331, loss_rec: 0.012508, lr_G: 0.002000
|
| 76 |
+
2023-02-04 12:00:07,360 - INFO - [Train] step: 3099, loss_advD: 1.329051, lr_D: 0.000200
|
| 77 |
+
2023-02-04 12:00:07,431 - INFO - [Train] step: 3099, loss_advG: 1.002980, loss_rec: 0.012631, lr_G: 0.002000
|
| 78 |
+
2023-02-04 12:00:43,878 - INFO - [Train] step: 3199, loss_advD: 1.226176, lr_D: 0.000200
|
| 79 |
+
2023-02-04 12:00:43,950 - INFO - [Train] step: 3199, loss_advG: 0.776028, loss_rec: 0.011928, lr_G: 0.002000
|
| 80 |
+
2023-02-04 12:00:50,964 - INFO - [Eval] step: 3199, psnr: 19.380127, ssim: 0.595096, l1: 0.072001
|
| 81 |
+
2023-02-04 12:01:24,081 - INFO - [Train] step: 3299, loss_advD: 1.125939, lr_D: 0.000200
|
| 82 |
+
2023-02-04 12:01:24,152 - INFO - [Train] step: 3299, loss_advG: 1.248712, loss_rec: 0.011004, lr_G: 0.002000
|
| 83 |
+
2023-02-04 12:01:57,039 - INFO - [Train] step: 3399, loss_advD: 1.176715, lr_D: 0.000200
|
| 84 |
+
2023-02-04 12:01:57,111 - INFO - [Train] step: 3399, loss_advG: 1.000500, loss_rec: 0.010259, lr_G: 0.002000
|
| 85 |
+
2023-02-04 12:02:32,068 - INFO - [Train] step: 3499, loss_advD: 1.183270, lr_D: 0.000200
|
| 86 |
+
2023-02-04 12:02:32,140 - INFO - [Train] step: 3499, loss_advG: 1.672864, loss_rec: 0.009792, lr_G: 0.002000
|
| 87 |
+
2023-02-04 12:03:06,441 - INFO - [Train] step: 3599, loss_advD: 1.072719, lr_D: 0.000200
|
| 88 |
+
2023-02-04 12:03:06,513 - INFO - [Train] step: 3599, loss_advG: 1.299518, loss_rec: 0.010838, lr_G: 0.002000
|
| 89 |
+
2023-02-04 12:03:13,658 - INFO - [Eval] step: 3599, psnr: 19.303932, ssim: 0.587187, l1: 0.072836
|
| 90 |
+
2023-02-04 12:03:45,176 - INFO - [Train] step: 3699, loss_advD: 1.464802, lr_D: 0.000200
|
| 91 |
+
2023-02-04 12:03:45,248 - INFO - [Train] step: 3699, loss_advG: 0.398552, loss_rec: 0.009854, lr_G: 0.002000
|
| 92 |
+
2023-02-04 12:04:18,419 - INFO - [Train] step: 3799, loss_advD: 1.390680, lr_D: 0.000200
|
| 93 |
+
2023-02-04 12:04:18,491 - INFO - [Train] step: 3799, loss_advG: 1.075850, loss_rec: 0.009672, lr_G: 0.002000
|
| 94 |
+
2023-02-04 12:04:52,605 - INFO - [Train] step: 3899, loss_advD: 1.404848, lr_D: 0.000200
|
| 95 |
+
2023-02-04 12:04:52,677 - INFO - [Train] step: 3899, loss_advG: 0.165351, loss_rec: 0.009600, lr_G: 0.002000
|
| 96 |
+
2023-02-04 12:05:27,134 - INFO - [Train] step: 3999, loss_advD: 1.125062, lr_D: 0.000200
|
| 97 |
+
2023-02-04 12:05:27,206 - INFO - [Train] step: 3999, loss_advG: 0.755503, loss_rec: 0.009909, lr_G: 0.002000
|
| 98 |
+
2023-02-04 12:05:34,315 - INFO - [Eval] step: 3999, psnr: 19.455645, ssim: 0.594568, l1: 0.071766
|
| 99 |
+
2023-02-04 12:06:07,949 - INFO - [Train] step: 4099, loss_advD: 1.065275, lr_D: 0.000200
|
| 100 |
+
2023-02-04 12:06:08,021 - INFO - [Train] step: 4099, loss_advG: 1.200793, loss_rec: 0.009514, lr_G: 0.002000
|
| 101 |
+
2023-02-04 12:06:41,235 - INFO - [Train] step: 4199, loss_advD: 1.074558, lr_D: 0.000200
|
| 102 |
+
2023-02-04 12:06:41,307 - INFO - [Train] step: 4199, loss_advG: 1.311584, loss_rec: 0.009157, lr_G: 0.002000
|
| 103 |
+
2023-02-04 12:07:15,992 - INFO - [Train] step: 4299, loss_advD: 1.082067, lr_D: 0.000200
|
| 104 |
+
2023-02-04 12:07:16,064 - INFO - [Train] step: 4299, loss_advG: 1.387169, loss_rec: 0.009012, lr_G: 0.002000
|
| 105 |
+
2023-02-04 12:07:51,817 - INFO - [Train] step: 4399, loss_advD: 1.292006, lr_D: 0.000200
|
| 106 |
+
2023-02-04 12:07:51,889 - INFO - [Train] step: 4399, loss_advG: 0.582176, loss_rec: 0.008430, lr_G: 0.002000
|
| 107 |
+
2023-02-04 12:07:58,626 - INFO - [Eval] step: 4399, psnr: 19.491585, ssim: 0.604185, l1: 0.070960
|
| 108 |
+
2023-02-04 12:08:31,278 - INFO - [Train] step: 4499, loss_advD: 1.249947, lr_D: 0.000200
|
| 109 |
+
2023-02-04 12:08:31,350 - INFO - [Train] step: 4499, loss_advG: 1.057181, loss_rec: 0.008867, lr_G: 0.002000
|
| 110 |
+
2023-02-04 12:09:04,421 - INFO - [Train] step: 4599, loss_advD: 1.120974, lr_D: 0.000200
|
| 111 |
+
2023-02-04 12:09:04,493 - INFO - [Train] step: 4599, loss_advG: 1.423375, loss_rec: 0.009109, lr_G: 0.002000
|
| 112 |
+
2023-02-04 12:09:39,496 - INFO - [Train] step: 4699, loss_advD: 1.798540, lr_D: 0.000200
|
| 113 |
+
2023-02-04 12:09:39,567 - INFO - [Train] step: 4699, loss_advG: 0.223223, loss_rec: 0.008293, lr_G: 0.002000
|
| 114 |
+
2023-02-04 12:10:15,699 - INFO - [Train] step: 4799, loss_advD: 1.385498, lr_D: 0.000200
|
| 115 |
+
2023-02-04 12:10:15,771 - INFO - [Train] step: 4799, loss_advG: 0.557029, loss_rec: 0.008900, lr_G: 0.002000
|
| 116 |
+
2023-02-04 12:10:23,504 - INFO - [Eval] step: 4799, psnr: 19.431484, ssim: 0.597216, l1: 0.071652
|
| 117 |
+
2023-02-04 12:10:54,498 - INFO - [Train] step: 4899, loss_advD: 1.314520, lr_D: 0.000200
|
| 118 |
+
2023-02-04 12:10:54,571 - INFO - [Train] step: 4899, loss_advG: 0.676553, loss_rec: 0.008416, lr_G: 0.002000
|
| 119 |
+
2023-02-04 12:11:28,715 - INFO - [Train] step: 4999, loss_advD: 1.184738, lr_D: 0.000200
|
| 120 |
+
2023-02-04 12:11:28,788 - INFO - [Train] step: 4999, loss_advG: 1.117574, loss_rec: 0.009577, lr_G: 0.002000
|
| 121 |
+
2023-02-04 12:12:02,269 - INFO - [Train] step: 5099, loss_advD: 1.264314, lr_D: 0.000200
|
| 122 |
+
2023-02-04 12:12:02,342 - INFO - [Train] step: 5099, loss_advG: 1.669112, loss_rec: 0.007663, lr_G: 0.002000
|
| 123 |
+
2023-02-04 12:12:37,428 - INFO - [Train] step: 5199, loss_advD: 1.178146, lr_D: 0.000200
|
| 124 |
+
2023-02-04 12:12:37,499 - INFO - [Train] step: 5199, loss_advG: 2.033787, loss_rec: 0.008131, lr_G: 0.002000
|
| 125 |
+
2023-02-04 12:12:44,955 - INFO - [Eval] step: 5199, psnr: 19.409044, ssim: 0.596256, l1: 0.071729
|
| 126 |
+
2023-02-04 12:13:16,648 - INFO - [Train] step: 5299, loss_advD: 1.324080, lr_D: 0.000200
|
| 127 |
+
2023-02-04 12:13:16,720 - INFO - [Train] step: 5299, loss_advG: 0.654186, loss_rec: 0.007856, lr_G: 0.002000
|
| 128 |
+
2023-02-04 12:13:51,275 - INFO - [Train] step: 5399, loss_advD: 1.418684, lr_D: 0.000200
|
| 129 |
+
2023-02-04 12:13:51,347 - INFO - [Train] step: 5399, loss_advG: 0.353043, loss_rec: 0.007988, lr_G: 0.002000
|
| 130 |
+
2023-02-04 12:14:25,097 - INFO - [Train] step: 5499, loss_advD: 1.109756, lr_D: 0.000200
|
| 131 |
+
2023-02-04 12:14:25,169 - INFO - [Train] step: 5499, loss_advG: 1.347313, loss_rec: 0.008893, lr_G: 0.002000
|
| 132 |
+
2023-02-04 12:14:59,423 - INFO - [Train] step: 5599, loss_advD: 1.132564, lr_D: 0.000200
|
| 133 |
+
2023-02-04 12:14:59,496 - INFO - [Train] step: 5599, loss_advG: 0.885802, loss_rec: 0.008286, lr_G: 0.002000
|
| 134 |
+
2023-02-04 12:15:06,982 - INFO - [Eval] step: 5599, psnr: 19.476788, ssim: 0.592968, l1: 0.071584
|
| 135 |
+
2023-02-04 12:15:38,073 - INFO - [Train] step: 5699, loss_advD: 1.108643, lr_D: 0.000200
|
| 136 |
+
2023-02-04 12:15:38,145 - INFO - [Train] step: 5699, loss_advG: 0.810218, loss_rec: 0.008226, lr_G: 0.002000
|
| 137 |
+
2023-02-04 12:16:11,889 - INFO - [Train] step: 5799, loss_advD: 1.290914, lr_D: 0.000200
|
| 138 |
+
2023-02-04 12:16:11,961 - INFO - [Train] step: 5799, loss_advG: 1.820711, loss_rec: 0.007402, lr_G: 0.002000
|
| 139 |
+
2023-02-04 12:16:45,301 - INFO - [Train] step: 5899, loss_advD: 1.262300, lr_D: 0.000200
|
| 140 |
+
2023-02-04 12:16:45,373 - INFO - [Train] step: 5899, loss_advG: 2.888702, loss_rec: 0.008143, lr_G: 0.002000
|
| 141 |
+
2023-02-04 12:17:20,360 - INFO - [Train] step: 5999, loss_advD: 1.205008, lr_D: 0.000200
|
| 142 |
+
2023-02-04 12:17:20,432 - INFO - [Train] step: 5999, loss_advG: 1.873787, loss_rec: 0.007820, lr_G: 0.002000
|
| 143 |
+
2023-02-04 12:17:27,741 - INFO - [Eval] step: 5999, psnr: 19.500422, ssim: 0.593910, l1: 0.071389
|
| 144 |
+
2023-02-04 12:18:00,411 - INFO - [Train] step: 6099, loss_advD: 1.183462, lr_D: 0.000200
|
| 145 |
+
2023-02-04 12:18:00,482 - INFO - [Train] step: 6099, loss_advG: 1.213983, loss_rec: 0.007505, lr_G: 0.002000
|
| 146 |
+
2023-02-04 12:18:35,937 - INFO - [Train] step: 6199, loss_advD: 1.060632, lr_D: 0.000200
|
| 147 |
+
2023-02-04 12:18:36,008 - INFO - [Train] step: 6199, loss_advG: 1.129106, loss_rec: 0.007945, lr_G: 0.002000
|
| 148 |
+
2023-02-04 12:19:11,675 - INFO - [Train] step: 6299, loss_advD: 1.515699, lr_D: 0.000200
|
| 149 |
+
2023-02-04 12:19:11,748 - INFO - [Train] step: 6299, loss_advG: 0.396282, loss_rec: 0.007209, lr_G: 0.002000
|
| 150 |
+
2023-02-04 12:19:45,404 - INFO - [Train] step: 6399, loss_advD: 1.098387, lr_D: 0.000200
|
| 151 |
+
2023-02-04 12:19:45,477 - INFO - [Train] step: 6399, loss_advG: 0.812659, loss_rec: 0.006875, lr_G: 0.002000
|
| 152 |
+
2023-02-04 12:19:53,294 - INFO - [Eval] step: 6399, psnr: 19.552113, ssim: 0.599985, l1: 0.070869
|
| 153 |
+
2023-02-04 12:20:26,255 - INFO - [Train] step: 6499, loss_advD: 1.046374, lr_D: 0.000200
|
| 154 |
+
2023-02-04 12:20:26,327 - INFO - [Train] step: 6499, loss_advG: 1.362185, loss_rec: 0.007598, lr_G: 0.002000
|
| 155 |
+
2023-02-04 12:21:01,223 - INFO - [Train] step: 6599, loss_advD: 1.235175, lr_D: 0.000200
|
| 156 |
+
2023-02-04 12:21:01,295 - INFO - [Train] step: 6599, loss_advG: 0.663508, loss_rec: 0.008202, lr_G: 0.002000
|
| 157 |
+
2023-02-04 12:21:35,608 - INFO - [Train] step: 6699, loss_advD: 1.085454, lr_D: 0.000200
|
| 158 |
+
2023-02-04 12:21:35,680 - INFO - [Train] step: 6699, loss_advG: 1.534293, loss_rec: 0.007249, lr_G: 0.002000
|
| 159 |
+
2023-02-04 12:22:08,968 - INFO - [Train] step: 6799, loss_advD: 1.128427, lr_D: 0.000200
|
| 160 |
+
2023-02-04 12:22:09,040 - INFO - [Train] step: 6799, loss_advG: 1.272871, loss_rec: 0.006587, lr_G: 0.002000
|
| 161 |
+
2023-02-04 12:22:16,939 - INFO - [Eval] step: 6799, psnr: 19.444677, ssim: 0.589410, l1: 0.072335
|
| 162 |
+
2023-02-04 12:22:47,582 - INFO - [Train] step: 6899, loss_advD: 1.161986, lr_D: 0.000200
|
| 163 |
+
2023-02-04 12:22:47,654 - INFO - [Train] step: 6899, loss_advG: 0.854569, loss_rec: 0.006733, lr_G: 0.002000
|
| 164 |
+
2023-02-04 12:23:23,088 - INFO - [Train] step: 6999, loss_advD: 1.099826, lr_D: 0.000200
|
| 165 |
+
2023-02-04 12:23:23,159 - INFO - [Train] step: 6999, loss_advG: 1.140105, loss_rec: 0.006911, lr_G: 0.002000
|
| 166 |
+
2023-02-04 12:23:57,807 - INFO - [Train] step: 7099, loss_advD: 1.088854, lr_D: 0.000200
|
| 167 |
+
2023-02-04 12:23:57,879 - INFO - [Train] step: 7099, loss_advG: 1.125842, loss_rec: 0.007555, lr_G: 0.002000
|
| 168 |
+
2023-02-04 12:24:31,317 - INFO - [Train] step: 7199, loss_advD: 1.093019, lr_D: 0.000200
|
| 169 |
+
2023-02-04 12:24:31,389 - INFO - [Train] step: 7199, loss_advG: 1.119823, loss_rec: 0.006485, lr_G: 0.002000
|
| 170 |
+
2023-02-04 12:24:39,270 - INFO - [Eval] step: 7199, psnr: 19.499195, ssim: 0.593524, l1: 0.071639
|
| 171 |
+
2023-02-04 12:25:10,558 - INFO - [Train] step: 7299, loss_advD: 1.056524, lr_D: 0.000200
|
| 172 |
+
2023-02-04 12:25:10,630 - INFO - [Train] step: 7299, loss_advG: 1.397556, loss_rec: 0.006712, lr_G: 0.002000
|
| 173 |
+
2023-02-04 12:25:45,591 - INFO - [Train] step: 7399, loss_advD: 1.227185, lr_D: 0.000200
|
| 174 |
+
2023-02-04 12:25:45,663 - INFO - [Train] step: 7399, loss_advG: 0.640933, loss_rec: 0.006765, lr_G: 0.002000
|
| 175 |
+
2023-02-04 12:26:19,876 - INFO - [Train] step: 7499, loss_advD: 1.032185, lr_D: 0.000200
|
| 176 |
+
2023-02-04 12:26:19,948 - INFO - [Train] step: 7499, loss_advG: 1.553747, loss_rec: 0.008647, lr_G: 0.002000
|
| 177 |
+
2023-02-04 12:26:54,139 - INFO - [Train] step: 7599, loss_advD: 1.627248, lr_D: 0.000200
|
| 178 |
+
2023-02-04 12:26:54,211 - INFO - [Train] step: 7599, loss_advG: 0.267913, loss_rec: 0.006502, lr_G: 0.002000
|
| 179 |
+
2023-02-04 12:27:01,394 - INFO - [Eval] step: 7599, psnr: 19.498932, ssim: 0.598093, l1: 0.071262
|
| 180 |
+
2023-02-04 12:27:34,224 - INFO - [Train] step: 7699, loss_advD: 1.163759, lr_D: 0.000200
|
| 181 |
+
2023-02-04 12:27:34,295 - INFO - [Train] step: 7699, loss_advG: 0.686655, loss_rec: 0.007051, lr_G: 0.002000
|
| 182 |
+
2023-02-04 12:28:07,894 - INFO - [Train] step: 7799, loss_advD: 1.134493, lr_D: 0.000200
|
| 183 |
+
2023-02-04 12:28:07,965 - INFO - [Train] step: 7799, loss_advG: 1.283595, loss_rec: 0.006337, lr_G: 0.002000
|
| 184 |
+
2023-02-04 12:28:44,662 - INFO - [Train] step: 7899, loss_advD: 1.176032, lr_D: 0.000200
|
| 185 |
+
2023-02-04 12:28:44,734 - INFO - [Train] step: 7899, loss_advG: 1.239884, loss_rec: 0.006397, lr_G: 0.002000
|
| 186 |
+
2023-02-04 12:29:19,394 - INFO - [Train] step: 7999, loss_advD: 1.143698, lr_D: 0.000200
|
| 187 |
+
2023-02-04 12:29:19,469 - INFO - [Train] step: 7999, loss_advG: 1.661127, loss_rec: 0.006215, lr_G: 0.002000
|
| 188 |
+
2023-02-04 12:29:26,227 - INFO - [Eval] step: 7999, psnr: 19.508453, ssim: 0.595935, l1: 0.071572
|
| 189 |
+
2023-02-04 12:29:56,250 - INFO - [Train] step: 8099, loss_advD: 1.234535, lr_D: 0.000200
|
| 190 |
+
2023-02-04 12:29:56,322 - INFO - [Train] step: 8099, loss_advG: 0.730097, loss_rec: 0.006658, lr_G: 0.002000
|
| 191 |
+
2023-02-04 12:30:31,359 - INFO - [Train] step: 8199, loss_advD: 1.142796, lr_D: 0.000200
|
| 192 |
+
2023-02-04 12:30:31,431 - INFO - [Train] step: 8199, loss_advG: 1.446180, loss_rec: 0.005913, lr_G: 0.002000
|
| 193 |
+
2023-02-04 12:31:05,750 - INFO - [Train] step: 8299, loss_advD: 1.082743, lr_D: 0.000200
|
| 194 |
+
2023-02-04 12:31:05,822 - INFO - [Train] step: 8299, loss_advG: 1.214224, loss_rec: 0.006582, lr_G: 0.002000
|
| 195 |
+
2023-02-04 12:31:40,003 - INFO - [Train] step: 8399, loss_advD: 1.256165, lr_D: 0.000200
|
| 196 |
+
2023-02-04 12:31:40,078 - INFO - [Train] step: 8399, loss_advG: 1.599578, loss_rec: 0.006741, lr_G: 0.002000
|
| 197 |
+
2023-02-04 12:31:47,011 - INFO - [Eval] step: 8399, psnr: 19.553736, ssim: 0.599617, l1: 0.070960
|
| 198 |
+
2023-02-04 12:32:18,621 - INFO - [Train] step: 8499, loss_advD: 1.157730, lr_D: 0.000200
|
| 199 |
+
2023-02-04 12:32:18,693 - INFO - [Train] step: 8499, loss_advG: 0.833494, loss_rec: 0.006298, lr_G: 0.002000
|
| 200 |
+
2023-02-04 12:32:53,480 - INFO - [Train] step: 8599, loss_advD: 1.248706, lr_D: 0.000200
|
| 201 |
+
2023-02-04 12:32:53,551 - INFO - [Train] step: 8599, loss_advG: 2.127640, loss_rec: 0.005937, lr_G: 0.002000
|
| 202 |
+
2023-02-04 12:33:28,453 - INFO - [Train] step: 8699, loss_advD: 1.281726, lr_D: 0.000200
|
| 203 |
+
2023-02-04 12:33:28,524 - INFO - [Train] step: 8699, loss_advG: 0.542300, loss_rec: 0.006322, lr_G: 0.002000
|
| 204 |
+
2023-02-04 12:34:02,609 - INFO - [Train] step: 8799, loss_advD: 1.268114, lr_D: 0.000200
|
| 205 |
+
2023-02-04 12:34:02,681 - INFO - [Train] step: 8799, loss_advG: 0.791916, loss_rec: 0.006345, lr_G: 0.002000
|
| 206 |
+
2023-02-04 12:34:09,766 - INFO - [Eval] step: 8799, psnr: 19.557781, ssim: 0.596394, l1: 0.071035
|
| 207 |
+
2023-02-04 12:34:41,676 - INFO - [Train] step: 8899, loss_advD: 1.059831, lr_D: 0.000200
|
| 208 |
+
2023-02-04 12:34:41,748 - INFO - [Train] step: 8899, loss_advG: 0.969733, loss_rec: 0.006817, lr_G: 0.002000
|
| 209 |
+
2023-02-04 12:35:16,092 - INFO - [Train] step: 8999, loss_advD: 1.191413, lr_D: 0.000200
|
| 210 |
+
2023-02-04 12:35:16,164 - INFO - [Train] step: 8999, loss_advG: 1.600761, loss_rec: 0.006750, lr_G: 0.002000
|
| 211 |
+
2023-02-04 12:35:51,070 - INFO - [Train] step: 9099, loss_advD: 1.110765, lr_D: 0.000200
|
| 212 |
+
2023-02-04 12:35:51,142 - INFO - [Train] step: 9099, loss_advG: 0.885404, loss_rec: 0.006365, lr_G: 0.002000
|
| 213 |
+
2023-02-04 12:36:24,941 - INFO - [Train] step: 9199, loss_advD: 1.197322, lr_D: 0.000200
|
| 214 |
+
2023-02-04 12:36:25,012 - INFO - [Train] step: 9199, loss_advG: 1.688242, loss_rec: 0.006130, lr_G: 0.002000
|
| 215 |
+
2023-02-04 12:36:31,691 - INFO - [Eval] step: 9199, psnr: 19.533037, ssim: 0.595548, l1: 0.071423
|
| 216 |
+
2023-02-04 12:37:03,432 - INFO - [Train] step: 9299, loss_advD: 1.056280, lr_D: 0.000200
|
| 217 |
+
2023-02-04 12:37:03,503 - INFO - [Train] step: 9299, loss_advG: 0.933627, loss_rec: 0.005791, lr_G: 0.002000
|
| 218 |
+
2023-02-04 12:37:37,580 - INFO - [Train] step: 9399, loss_advD: 1.127545, lr_D: 0.000200
|
| 219 |
+
2023-02-04 12:37:37,651 - INFO - [Train] step: 9399, loss_advG: 0.795362, loss_rec: 0.006927, lr_G: 0.002000
|
| 220 |
+
2023-02-04 12:38:13,270 - INFO - [Train] step: 9499, loss_advD: 1.195889, lr_D: 0.000200
|
| 221 |
+
2023-02-04 12:38:13,341 - INFO - [Train] step: 9499, loss_advG: 1.129774, loss_rec: 0.005939, lr_G: 0.002000
|
| 222 |
+
2023-02-04 12:38:47,975 - INFO - [Train] step: 9599, loss_advD: 1.443909, lr_D: 0.000200
|
| 223 |
+
2023-02-04 12:38:48,047 - INFO - [Train] step: 9599, loss_advG: 0.463872, loss_rec: 0.006142, lr_G: 0.002000
|
| 224 |
+
2023-02-04 12:38:55,205 - INFO - [Eval] step: 9599, psnr: 19.540066, ssim: 0.599440, l1: 0.071142
|
| 225 |
+
2023-02-04 12:39:27,166 - INFO - [Train] step: 9699, loss_advD: 1.087738, lr_D: 0.000200
|
| 226 |
+
2023-02-04 12:39:27,238 - INFO - [Train] step: 9699, loss_advG: 0.954034, loss_rec: 0.005669, lr_G: 0.002000
|
| 227 |
+
2023-02-04 12:39:59,898 - INFO - [Train] step: 9799, loss_advD: 1.261722, lr_D: 0.000200
|
| 228 |
+
2023-02-04 12:39:59,970 - INFO - [Train] step: 9799, loss_advG: 0.699615, loss_rec: 0.005861, lr_G: 0.002000
|
| 229 |
+
2023-02-04 12:40:35,310 - INFO - [Train] step: 9899, loss_advD: 1.193215, lr_D: 0.000200
|
| 230 |
+
2023-02-04 12:40:35,382 - INFO - [Train] step: 9899, loss_advG: 0.870469, loss_rec: 0.005784, lr_G: 0.002000
|
| 231 |
+
2023-02-04 12:41:10,139 - INFO - [Train] step: 9999, loss_advD: 1.321376, lr_D: 0.000200
|
| 232 |
+
2023-02-04 12:41:10,211 - INFO - [Train] step: 9999, loss_advG: 0.466535, loss_rec: 0.006020, lr_G: 0.002000
|
| 233 |
+
2023-02-04 12:41:16,845 - INFO - [Eval] step: 9999, psnr: 19.529633, ssim: 0.599979, l1: 0.071253
|
| 234 |
+
2023-02-04 12:41:50,473 - INFO - [Train] step: 10099, loss_advD: 1.090948, lr_D: 0.000200
|
| 235 |
+
2023-02-04 12:41:50,545 - INFO - [Train] step: 10099, loss_advG: 1.335684, loss_rec: 0.006023, lr_G: 0.002000
|
| 236 |
+
2023-02-04 12:42:23,623 - INFO - [Train] step: 10199, loss_advD: 1.207975, lr_D: 0.000200
|
| 237 |
+
2023-02-04 12:42:23,695 - INFO - [Train] step: 10199, loss_advG: 0.711806, loss_rec: 0.006070, lr_G: 0.002000
|
| 238 |
+
2023-02-04 12:42:57,606 - INFO - [Train] step: 10299, loss_advD: 1.507573, lr_D: 0.000200
|
| 239 |
+
2023-02-04 12:42:57,678 - INFO - [Train] step: 10299, loss_advG: 0.374758, loss_rec: 0.006302, lr_G: 0.002000
|
| 240 |
+
2023-02-04 12:43:33,133 - INFO - [Train] step: 10399, loss_advD: 1.034647, lr_D: 0.000200
|
| 241 |
+
2023-02-04 12:43:33,205 - INFO - [Train] step: 10399, loss_advG: 1.485107, loss_rec: 0.005987, lr_G: 0.002000
|
| 242 |
+
2023-02-04 12:43:40,273 - INFO - [Eval] step: 10399, psnr: 19.518131, ssim: 0.592571, l1: 0.071406
|
| 243 |
+
2023-02-04 12:44:11,960 - INFO - [Train] step: 10499, loss_advD: 1.176444, lr_D: 0.000200
|
| 244 |
+
2023-02-04 12:44:12,032 - INFO - [Train] step: 10499, loss_advG: 2.275854, loss_rec: 0.006277, lr_G: 0.002000
|
| 245 |
+
2023-02-04 12:44:45,869 - INFO - [Train] step: 10599, loss_advD: 1.345003, lr_D: 0.000200
|
| 246 |
+
2023-02-04 12:44:45,941 - INFO - [Train] step: 10599, loss_advG: 1.643208, loss_rec: 0.005554, lr_G: 0.002000
|
| 247 |
+
2023-02-04 12:45:21,230 - INFO - [Train] step: 10699, loss_advD: 1.081454, lr_D: 0.000200
|
| 248 |
+
2023-02-04 12:45:21,302 - INFO - [Train] step: 10699, loss_advG: 1.550466, loss_rec: 0.005634, lr_G: 0.002000
|
| 249 |
+
2023-02-04 12:45:57,082 - INFO - [Train] step: 10799, loss_advD: 1.145971, lr_D: 0.000200
|
| 250 |
+
2023-02-04 12:45:57,153 - INFO - [Train] step: 10799, loss_advG: 1.546781, loss_rec: 0.005521, lr_G: 0.002000
|
| 251 |
+
2023-02-04 12:46:03,131 - INFO - [Eval] step: 10799, psnr: 19.540579, ssim: 0.592790, l1: 0.071206
|
| 252 |
+
2023-02-04 12:46:35,801 - INFO - [Train] step: 10899, loss_advD: 1.430934, lr_D: 0.000200
|
| 253 |
+
2023-02-04 12:46:35,872 - INFO - [Train] step: 10899, loss_advG: 0.407849, loss_rec: 0.005614, lr_G: 0.002000
|
| 254 |
+
2023-02-04 12:47:12,851 - INFO - [Train] step: 10999, loss_advD: 1.591720, lr_D: 0.000200
|
| 255 |
+
2023-02-04 12:47:12,923 - INFO - [Train] step: 10999, loss_advG: 0.478614, loss_rec: 0.005740, lr_G: 0.002000
|
| 256 |
+
2023-02-04 12:47:46,021 - INFO - [Train] step: 11099, loss_advD: 1.176201, lr_D: 0.000200
|
| 257 |
+
2023-02-04 12:47:46,093 - INFO - [Train] step: 11099, loss_advG: 1.501286, loss_rec: 0.005980, lr_G: 0.002000
|
| 258 |
+
2023-02-04 12:48:20,218 - INFO - [Train] step: 11199, loss_advD: 1.161863, lr_D: 0.000200
|
| 259 |
+
2023-02-04 12:48:20,290 - INFO - [Train] step: 11199, loss_advG: 1.351638, loss_rec: 0.005836, lr_G: 0.002000
|
| 260 |
+
2023-02-04 12:48:27,982 - INFO - [Eval] step: 11199, psnr: 19.538513, ssim: 0.595519, l1: 0.071479
|
| 261 |
+
2023-02-04 12:48:59,633 - INFO - [Train] step: 11299, loss_advD: 1.236058, lr_D: 0.000200
|
| 262 |
+
2023-02-04 12:48:59,706 - INFO - [Train] step: 11299, loss_advG: 0.527488, loss_rec: 0.005820, lr_G: 0.002000
|
| 263 |
+
2023-02-04 12:49:34,920 - INFO - [Train] step: 11399, loss_advD: 1.148656, lr_D: 0.000200
|
| 264 |
+
2023-02-04 12:49:34,992 - INFO - [Train] step: 11399, loss_advG: 0.909804, loss_rec: 0.006399, lr_G: 0.002000
|
| 265 |
+
2023-02-04 12:50:08,377 - INFO - [Train] step: 11499, loss_advD: 1.134135, lr_D: 0.000200
|
| 266 |
+
2023-02-04 12:50:08,449 - INFO - [Train] step: 11499, loss_advG: 0.845712, loss_rec: 0.005650, lr_G: 0.002000
|
| 267 |
+
2023-02-04 12:50:43,883 - INFO - [Train] step: 11599, loss_advD: 1.121261, lr_D: 0.000200
|
| 268 |
+
2023-02-04 12:50:43,955 - INFO - [Train] step: 11599, loss_advG: 0.995418, loss_rec: 0.005555, lr_G: 0.002000
|
| 269 |
+
2023-02-04 12:50:51,378 - INFO - [Eval] step: 11599, psnr: 19.559011, ssim: 0.596933, l1: 0.071120
|
| 270 |
+
2023-02-04 12:51:23,808 - INFO - [Train] step: 11699, loss_advD: 1.232619, lr_D: 0.000200
|
| 271 |
+
2023-02-04 12:51:23,880 - INFO - [Train] step: 11699, loss_advG: 0.601970, loss_rec: 0.005343, lr_G: 0.002000
|
| 272 |
+
2023-02-04 12:51:58,267 - INFO - [Train] step: 11799, loss_advD: 0.969712, lr_D: 0.000200
|
| 273 |
+
2023-02-04 12:51:58,352 - INFO - [Train] step: 11799, loss_advG: 1.477886, loss_rec: 0.005648, lr_G: 0.002000
|
| 274 |
+
2023-02-04 12:52:31,753 - INFO - [Train] step: 11899, loss_advD: 1.082418, lr_D: 0.000200
|
| 275 |
+
2023-02-04 12:52:31,826 - INFO - [Train] step: 11899, loss_advG: 1.193352, loss_rec: 0.005430, lr_G: 0.002000
|
| 276 |
+
2023-02-04 12:53:06,398 - INFO - [Train] step: 11999, loss_advD: 1.155096, lr_D: 0.000200
|
| 277 |
+
2023-02-04 12:53:06,470 - INFO - [Train] step: 11999, loss_advG: 2.088602, loss_rec: 0.005734, lr_G: 0.002000
|
| 278 |
+
2023-02-04 12:53:14,006 - INFO - [Eval] step: 11999, psnr: 19.523785, ssim: 0.595156, l1: 0.072337
|
| 279 |
+
2023-02-04 12:53:44,921 - INFO - [Train] step: 12099, loss_advD: 1.071237, lr_D: 0.000200
|
| 280 |
+
2023-02-04 12:53:44,993 - INFO - [Train] step: 12099, loss_advG: 0.848964, loss_rec: 0.005491, lr_G: 0.002000
|
| 281 |
+
2023-02-04 12:54:19,597 - INFO - [Train] step: 12199, loss_advD: 1.463136, lr_D: 0.000200
|
| 282 |
+
2023-02-04 12:54:19,676 - INFO - [Train] step: 12199, loss_advG: 2.387729, loss_rec: 0.005359, lr_G: 0.002000
|
| 283 |
+
2023-02-04 12:54:53,518 - INFO - [Train] step: 12299, loss_advD: 1.255138, lr_D: 0.000200
|
| 284 |
+
2023-02-04 12:54:53,590 - INFO - [Train] step: 12299, loss_advG: 0.691436, loss_rec: 0.006787, lr_G: 0.002000
|
| 285 |
+
2023-02-04 12:55:28,917 - INFO - [Train] step: 12399, loss_advD: 1.047068, lr_D: 0.000200
|
| 286 |
+
2023-02-04 12:55:28,988 - INFO - [Train] step: 12399, loss_advG: 1.703198, loss_rec: 0.005479, lr_G: 0.002000
|
| 287 |
+
2023-02-04 12:55:35,021 - INFO - [Eval] step: 12399, psnr: 19.504225, ssim: 0.595944, l1: 0.071373
|
| 288 |
+
2023-02-04 12:56:08,009 - INFO - [Train] step: 12499, loss_advD: 1.107943, lr_D: 0.000200
|
| 289 |
+
2023-02-04 12:56:08,080 - INFO - [Train] step: 12499, loss_advG: 1.620855, loss_rec: 0.005657, lr_G: 0.002000
|
| 290 |
+
2023-02-04 12:56:43,807 - INFO - [Train] step: 12599, loss_advD: 1.415702, lr_D: 0.000200
|
| 291 |
+
2023-02-04 12:56:43,878 - INFO - [Train] step: 12599, loss_advG: 0.548354, loss_rec: 0.005268, lr_G: 0.002000
|
| 292 |
+
2023-02-04 12:57:19,434 - INFO - [Train] step: 12699, loss_advD: 1.124285, lr_D: 0.000200
|
| 293 |
+
2023-02-04 12:57:19,506 - INFO - [Train] step: 12699, loss_advG: 1.105899, loss_rec: 0.005484, lr_G: 0.002000
|
| 294 |
+
2023-02-04 12:57:52,630 - INFO - [Train] step: 12799, loss_advD: 1.427469, lr_D: 0.000200
|
| 295 |
+
2023-02-04 12:57:52,703 - INFO - [Train] step: 12799, loss_advG: 2.272202, loss_rec: 0.005268, lr_G: 0.002000
|
| 296 |
+
2023-02-04 12:58:00,641 - INFO - [Eval] step: 12799, psnr: 19.556629, ssim: 0.598730, l1: 0.071259
|
| 297 |
+
2023-02-04 12:58:31,103 - INFO - [Train] step: 12899, loss_advD: 1.302140, lr_D: 0.000200
|
| 298 |
+
2023-02-04 12:58:31,182 - INFO - [Train] step: 12899, loss_advG: 0.711977, loss_rec: 0.005237, lr_G: 0.002000
|
| 299 |
+
2023-02-04 12:59:05,964 - INFO - [Train] step: 12999, loss_advD: 1.560783, lr_D: 0.000200
|
| 300 |
+
2023-02-04 12:59:06,036 - INFO - [Train] step: 12999, loss_advG: 0.663354, loss_rec: 0.004724, lr_G: 0.002000
|
| 301 |
+
2023-02-04 12:59:41,190 - INFO - [Train] step: 13099, loss_advD: 1.254805, lr_D: 0.000200
|
| 302 |
+
2023-02-04 12:59:41,262 - INFO - [Train] step: 13099, loss_advG: 0.935996, loss_rec: 0.004923, lr_G: 0.002000
|
| 303 |
+
2023-02-04 13:00:15,183 - INFO - [Train] step: 13199, loss_advD: 1.150824, lr_D: 0.000200
|
| 304 |
+
2023-02-04 13:00:15,255 - INFO - [Train] step: 13199, loss_advG: 1.252083, loss_rec: 0.004973, lr_G: 0.002000
|
| 305 |
+
2023-02-04 13:00:22,965 - INFO - [Eval] step: 13199, psnr: 19.567587, ssim: 0.598359, l1: 0.071073
|
| 306 |
+
2023-02-04 13:00:55,769 - INFO - [Train] step: 13299, loss_advD: 1.165721, lr_D: 0.000200
|
| 307 |
+
2023-02-04 13:00:55,840 - INFO - [Train] step: 13299, loss_advG: 0.715634, loss_rec: 0.005286, lr_G: 0.002000
|
| 308 |
+
2023-02-04 13:01:30,548 - INFO - [Train] step: 13399, loss_advD: 1.266668, lr_D: 0.000200
|
| 309 |
+
2023-02-04 13:01:30,620 - INFO - [Train] step: 13399, loss_advG: 0.603308, loss_rec: 0.005156, lr_G: 0.002000
|
| 310 |
+
2023-02-04 13:02:04,835 - INFO - [Train] step: 13499, loss_advD: 1.246492, lr_D: 0.000200
|
| 311 |
+
2023-02-04 13:02:04,907 - INFO - [Train] step: 13499, loss_advG: 0.660822, loss_rec: 0.005244, lr_G: 0.002000
|
| 312 |
+
2023-02-04 13:02:38,241 - INFO - [Train] step: 13599, loss_advD: 1.289235, lr_D: 0.000200
|
| 313 |
+
2023-02-04 13:02:38,313 - INFO - [Train] step: 13599, loss_advG: 0.624497, loss_rec: 0.005847, lr_G: 0.002000
|
| 314 |
+
2023-02-04 13:02:45,689 - INFO - [Eval] step: 13599, psnr: 19.522100, ssim: 0.597526, l1: 0.071249
|
| 315 |
+
2023-02-04 13:03:16,708 - INFO - [Train] step: 13699, loss_advD: 1.188560, lr_D: 0.000200
|
| 316 |
+
2023-02-04 13:03:16,780 - INFO - [Train] step: 13699, loss_advG: 1.751036, loss_rec: 0.005304, lr_G: 0.002000
|
| 317 |
+
2023-02-04 13:03:51,816 - INFO - [Train] step: 13799, loss_advD: 1.065275, lr_D: 0.000200
|
| 318 |
+
2023-02-04 13:03:51,888 - INFO - [Train] step: 13799, loss_advG: 1.244843, loss_rec: 0.005374, lr_G: 0.002000
|
| 319 |
+
2023-02-04 13:04:27,203 - INFO - [Train] step: 13899, loss_advD: 1.126935, lr_D: 0.000200
|
| 320 |
+
2023-02-04 13:04:27,275 - INFO - [Train] step: 13899, loss_advG: 1.521811, loss_rec: 0.005870, lr_G: 0.002000
|
| 321 |
+
2023-02-04 13:05:00,409 - INFO - [Train] step: 13999, loss_advD: 1.499542, lr_D: 0.000200
|
| 322 |
+
2023-02-04 13:05:00,481 - INFO - [Train] step: 13999, loss_advG: 0.445419, loss_rec: 0.005429, lr_G: 0.002000
|
| 323 |
+
2023-02-04 13:05:06,481 - INFO - [Eval] step: 13999, psnr: 19.567602, ssim: 0.598270, l1: 0.070866
|
| 324 |
+
2023-02-04 13:05:41,631 - INFO - [Train] step: 14099, loss_advD: 1.353557, lr_D: 0.000200
|
| 325 |
+
2023-02-04 13:05:41,702 - INFO - [Train] step: 14099, loss_advG: 2.073967, loss_rec: 0.005184, lr_G: 0.002000
|
| 326 |
+
2023-02-04 13:06:17,733 - INFO - [Train] step: 14199, loss_advD: 1.154953, lr_D: 0.000200
|
| 327 |
+
2023-02-04 13:06:17,805 - INFO - [Train] step: 14199, loss_advG: 1.576064, loss_rec: 0.005385, lr_G: 0.002000
|
| 328 |
+
2023-02-04 13:06:52,213 - INFO - [Train] step: 14299, loss_advD: 1.335654, lr_D: 0.000200
|
| 329 |
+
2023-02-04 13:06:52,285 - INFO - [Train] step: 14299, loss_advG: 0.718011, loss_rec: 0.005058, lr_G: 0.002000
|
| 330 |
+
2023-02-04 13:07:27,222 - INFO - [Train] step: 14399, loss_advD: 1.212433, lr_D: 0.000200
|
| 331 |
+
2023-02-04 13:07:27,294 - INFO - [Train] step: 14399, loss_advG: 1.271431, loss_rec: 0.005239, lr_G: 0.002000
|
| 332 |
+
2023-02-04 13:07:34,345 - INFO - [Eval] step: 14399, psnr: 19.572170, ssim: 0.596900, l1: 0.071020
|
| 333 |
+
2023-02-04 13:08:05,794 - INFO - [Train] step: 14499, loss_advD: 1.130135, lr_D: 0.000200
|
| 334 |
+
2023-02-04 13:08:05,866 - INFO - [Train] step: 14499, loss_advG: 1.161651, loss_rec: 0.006326, lr_G: 0.002000
|
| 335 |
+
2023-02-04 13:08:40,978 - INFO - [Train] step: 14599, loss_advD: 1.244502, lr_D: 0.000200
|
| 336 |
+
2023-02-04 13:08:41,050 - INFO - [Train] step: 14599, loss_advG: 1.444209, loss_rec: 0.004983, lr_G: 0.002000
|
| 337 |
+
2023-02-04 13:09:16,308 - INFO - [Train] step: 14699, loss_advD: 1.084343, lr_D: 0.000200
|
| 338 |
+
2023-02-04 13:09:16,380 - INFO - [Train] step: 14699, loss_advG: 1.318627, loss_rec: 0.005315, lr_G: 0.002000
|
| 339 |
+
2023-02-04 13:09:50,801 - INFO - [Train] step: 14799, loss_advD: 1.081249, lr_D: 0.000200
|
| 340 |
+
2023-02-04 13:09:50,873 - INFO - [Train] step: 14799, loss_advG: 1.077491, loss_rec: 0.005678, lr_G: 0.002000
|
| 341 |
+
2023-02-04 13:09:57,612 - INFO - [Eval] step: 14799, psnr: 19.569769, ssim: 0.597674, l1: 0.071089
|
| 342 |
+
2023-02-04 13:10:28,719 - INFO - [Train] step: 14899, loss_advD: 1.530018, lr_D: 0.000200
|
| 343 |
+
2023-02-04 13:10:28,790 - INFO - [Train] step: 14899, loss_advG: 0.497721, loss_rec: 0.004595, lr_G: 0.002000
|
| 344 |
+
2023-02-04 13:11:03,674 - INFO - [Train] step: 14999, loss_advD: 1.212291, lr_D: 0.000200
|
| 345 |
+
2023-02-04 13:11:03,745 - INFO - [Train] step: 14999, loss_advG: 2.711970, loss_rec: 0.004800, lr_G: 0.002000
|
| 346 |
+
2023-02-04 13:11:38,664 - INFO - [Train] step: 15099, loss_advD: 1.157767, lr_D: 0.000200
|
| 347 |
+
2023-02-04 13:11:38,736 - INFO - [Train] step: 15099, loss_advG: 1.051927, loss_rec: 0.004566, lr_G: 0.002000
|
| 348 |
+
2023-02-04 13:12:13,447 - INFO - [Train] step: 15199, loss_advD: 1.182265, lr_D: 0.000200
|
| 349 |
+
2023-02-04 13:12:13,519 - INFO - [Train] step: 15199, loss_advG: 1.600647, loss_rec: 0.005225, lr_G: 0.002000
|
| 350 |
+
2023-02-04 13:12:20,569 - INFO - [Eval] step: 15199, psnr: 19.573479, ssim: 0.599083, l1: 0.071529
|
| 351 |
+
2023-02-04 13:12:52,351 - INFO - [Train] step: 15299, loss_advD: 1.009442, lr_D: 0.000200
|
| 352 |
+
2023-02-04 13:12:52,423 - INFO - [Train] step: 15299, loss_advG: 1.035708, loss_rec: 0.005361, lr_G: 0.002000
|
| 353 |
+
2023-02-04 13:13:26,955 - INFO - [Train] step: 15399, loss_advD: 1.126384, lr_D: 0.000200
|
| 354 |
+
2023-02-04 13:13:27,027 - INFO - [Train] step: 15399, loss_advG: 1.236261, loss_rec: 0.005337, lr_G: 0.002000
|
| 355 |
+
2023-02-04 13:14:00,694 - INFO - [Train] step: 15499, loss_advD: 1.065954, lr_D: 0.000200
|
| 356 |
+
2023-02-04 13:14:00,766 - INFO - [Train] step: 15499, loss_advG: 1.195484, loss_rec: 0.005088, lr_G: 0.002000
|
| 357 |
+
2023-02-04 13:14:36,769 - INFO - [Train] step: 15599, loss_advD: 1.079262, lr_D: 0.000200
|
| 358 |
+
2023-02-04 13:14:36,840 - INFO - [Train] step: 15599, loss_advG: 1.403923, loss_rec: 0.005090, lr_G: 0.002000
|
| 359 |
+
2023-02-04 13:14:42,106 - INFO - [Eval] step: 15599, psnr: 19.578070, ssim: 0.600935, l1: 0.070911
|
| 360 |
+
2023-02-04 13:15:19,371 - INFO - [Train] step: 15699, loss_advD: 1.319901, lr_D: 0.000200
|
| 361 |
+
2023-02-04 13:15:19,446 - INFO - [Train] step: 15699, loss_advG: 1.059942, loss_rec: 0.004836, lr_G: 0.002000
|
| 362 |
+
2023-02-04 13:15:52,324 - INFO - [Train] step: 15799, loss_advD: 1.192191, lr_D: 0.000200
|
| 363 |
+
2023-02-04 13:15:52,396 - INFO - [Train] step: 15799, loss_advG: 1.070490, loss_rec: 0.005050, lr_G: 0.002000
|
| 364 |
+
2023-02-04 13:16:27,287 - INFO - [Train] step: 15899, loss_advD: 1.304028, lr_D: 0.000200
|
| 365 |
+
2023-02-04 13:16:27,359 - INFO - [Train] step: 15899, loss_advG: 1.751059, loss_rec: 0.005073, lr_G: 0.002000
|
| 366 |
+
2023-02-04 13:17:02,212 - INFO - [Train] step: 15999, loss_advD: 1.290471, lr_D: 0.000200
|
| 367 |
+
2023-02-04 13:17:02,284 - INFO - [Train] step: 15999, loss_advG: 1.341041, loss_rec: 0.004801, lr_G: 0.002000
|
| 368 |
+
2023-02-04 13:17:09,445 - INFO - [Eval] step: 15999, psnr: 19.567825, ssim: 0.599127, l1: 0.071074
|
| 369 |
+
2023-02-04 13:17:41,795 - INFO - [Train] step: 16099, loss_advD: 1.010733, lr_D: 0.000200
|
| 370 |
+
2023-02-04 13:17:41,867 - INFO - [Train] step: 16099, loss_advG: 1.311735, loss_rec: 0.005075, lr_G: 0.002000
|
| 371 |
+
2023-02-04 13:18:14,636 - INFO - [Train] step: 16199, loss_advD: 1.234807, lr_D: 0.000200
|
| 372 |
+
2023-02-04 13:18:14,709 - INFO - [Train] step: 16199, loss_advG: 0.689490, loss_rec: 0.004808, lr_G: 0.002000
|
| 373 |
+
2023-02-04 13:18:49,546 - INFO - [Train] step: 16299, loss_advD: 1.230178, lr_D: 0.000200
|
| 374 |
+
2023-02-04 13:18:49,617 - INFO - [Train] step: 16299, loss_advG: 1.275714, loss_rec: 0.004560, lr_G: 0.002000
|
| 375 |
+
2023-02-04 13:19:24,510 - INFO - [Train] step: 16399, loss_advD: 1.176503, lr_D: 0.000200
|
| 376 |
+
2023-02-04 13:19:24,582 - INFO - [Train] step: 16399, loss_advG: 1.028283, loss_rec: 0.004784, lr_G: 0.002000
|
| 377 |
+
2023-02-04 13:19:31,626 - INFO - [Eval] step: 16399, psnr: 19.564230, ssim: 0.596928, l1: 0.071124
|
| 378 |
+
2023-02-04 13:20:03,581 - INFO - [Train] step: 16499, loss_advD: 1.153714, lr_D: 0.000200
|
| 379 |
+
2023-02-04 13:20:03,652 - INFO - [Train] step: 16499, loss_advG: 1.350399, loss_rec: 0.004554, lr_G: 0.002000
|
| 380 |
+
2023-02-04 13:20:37,159 - INFO - [Train] step: 16599, loss_advD: 1.376178, lr_D: 0.000200
|
| 381 |
+
2023-02-04 13:20:37,232 - INFO - [Train] step: 16599, loss_advG: 0.959308, loss_rec: 0.005230, lr_G: 0.002000
|
| 382 |
+
2023-02-04 13:21:11,548 - INFO - [Train] step: 16699, loss_advD: 1.315118, lr_D: 0.000200
|
| 383 |
+
2023-02-04 13:21:11,620 - INFO - [Train] step: 16699, loss_advG: 1.514898, loss_rec: 0.004798, lr_G: 0.002000
|
| 384 |
+
2023-02-04 13:21:46,103 - INFO - [Train] step: 16799, loss_advD: 1.450833, lr_D: 0.000200
|
| 385 |
+
2023-02-04 13:21:46,175 - INFO - [Train] step: 16799, loss_advG: 0.368525, loss_rec: 0.005387, lr_G: 0.002000
|
| 386 |
+
2023-02-04 13:21:53,216 - INFO - [Eval] step: 16799, psnr: 19.507681, ssim: 0.597869, l1: 0.071503
|
| 387 |
+
2023-02-04 13:22:24,481 - INFO - [Train] step: 16899, loss_advD: 1.136255, lr_D: 0.000200
|
| 388 |
+
2023-02-04 13:22:24,553 - INFO - [Train] step: 16899, loss_advG: 1.116213, loss_rec: 0.004712, lr_G: 0.002000
|
| 389 |
+
2023-02-04 13:22:58,920 - INFO - [Train] step: 16999, loss_advD: 1.035919, lr_D: 0.000200
|
| 390 |
+
2023-02-04 13:22:58,992 - INFO - [Train] step: 16999, loss_advG: 1.322279, loss_rec: 0.005584, lr_G: 0.002000
|
| 391 |
+
2023-02-04 13:23:34,608 - INFO - [Train] step: 17099, loss_advD: 1.241972, lr_D: 0.000200
|
| 392 |
+
2023-02-04 13:23:34,679 - INFO - [Train] step: 17099, loss_advG: 1.187923, loss_rec: 0.005721, lr_G: 0.002000
|
| 393 |
+
2023-02-04 13:24:08,711 - INFO - [Train] step: 17199, loss_advD: 0.976772, lr_D: 0.000200
|
| 394 |
+
2023-02-04 13:24:08,782 - INFO - [Train] step: 17199, loss_advG: 1.199986, loss_rec: 0.004537, lr_G: 0.002000
|
| 395 |
+
2023-02-04 13:24:14,013 - INFO - [Eval] step: 17199, psnr: 19.550732, ssim: 0.594877, l1: 0.071255
|
| 396 |
+
2023-02-04 13:24:50,359 - INFO - [Train] step: 17299, loss_advD: 1.369630, lr_D: 0.000200
|
| 397 |
+
2023-02-04 13:24:50,432 - INFO - [Train] step: 17299, loss_advG: 0.531828, loss_rec: 0.005093, lr_G: 0.002000
|
| 398 |
+
2023-02-04 13:25:25,336 - INFO - [Train] step: 17399, loss_advD: 1.110539, lr_D: 0.000200
|
| 399 |
+
2023-02-04 13:25:25,409 - INFO - [Train] step: 17399, loss_advG: 1.239253, loss_rec: 0.004755, lr_G: 0.002000
|
| 400 |
+
2023-02-04 13:25:58,104 - INFO - [Train] step: 17499, loss_advD: 1.269955, lr_D: 0.000200
|
| 401 |
+
2023-02-04 13:25:58,176 - INFO - [Train] step: 17499, loss_advG: 2.372167, loss_rec: 0.004623, lr_G: 0.002000
|
| 402 |
+
2023-02-04 13:26:33,943 - INFO - [Train] step: 17599, loss_advD: 1.357038, lr_D: 0.000200
|
| 403 |
+
2023-02-04 13:26:34,015 - INFO - [Train] step: 17599, loss_advG: 3.552033, loss_rec: 0.005992, lr_G: 0.002000
|
| 404 |
+
2023-02-04 13:26:41,588 - INFO - [Eval] step: 17599, psnr: 19.521555, ssim: 0.592445, l1: 0.071777
|
| 405 |
+
2023-02-04 13:27:13,596 - INFO - [Train] step: 17699, loss_advD: 1.019461, lr_D: 0.000200
|
| 406 |
+
2023-02-04 13:27:13,668 - INFO - [Train] step: 17699, loss_advG: 1.252156, loss_rec: 0.004778, lr_G: 0.002000
|
| 407 |
+
2023-02-04 13:27:48,064 - INFO - [Train] step: 17799, loss_advD: 0.965916, lr_D: 0.000200
|
| 408 |
+
2023-02-04 13:27:48,136 - INFO - [Train] step: 17799, loss_advG: 1.249840, loss_rec: 0.004814, lr_G: 0.002000
|
| 409 |
+
2023-02-04 13:28:20,965 - INFO - [Train] step: 17899, loss_advD: 1.191195, lr_D: 0.000200
|
| 410 |
+
2023-02-04 13:28:21,037 - INFO - [Train] step: 17899, loss_advG: 0.824622, loss_rec: 0.005066, lr_G: 0.002000
|
| 411 |
+
2023-02-04 13:28:55,188 - INFO - [Train] step: 17999, loss_advD: 1.148294, lr_D: 0.000200
|
| 412 |
+
2023-02-04 13:28:55,260 - INFO - [Train] step: 17999, loss_advG: 1.309357, loss_rec: 0.004748, lr_G: 0.002000
|
| 413 |
+
2023-02-04 13:29:02,838 - INFO - [Eval] step: 17999, psnr: 19.576178, ssim: 0.598141, l1: 0.071131
|
| 414 |
+
2023-02-04 13:29:33,519 - INFO - [Train] step: 18099, loss_advD: 1.163098, lr_D: 0.000200
|
| 415 |
+
2023-02-04 13:29:33,591 - INFO - [Train] step: 18099, loss_advG: 1.018188, loss_rec: 0.004923, lr_G: 0.002000
|
| 416 |
+
2023-02-04 13:30:08,117 - INFO - [Train] step: 18199, loss_advD: 1.355641, lr_D: 0.000200
|
| 417 |
+
2023-02-04 13:30:08,189 - INFO - [Train] step: 18199, loss_advG: 0.429615, loss_rec: 0.004709, lr_G: 0.002000
|
| 418 |
+
2023-02-04 13:30:41,622 - INFO - [Train] step: 18299, loss_advD: 1.274541, lr_D: 0.000200
|
| 419 |
+
2023-02-04 13:30:41,694 - INFO - [Train] step: 18299, loss_advG: 1.558936, loss_rec: 0.004576, lr_G: 0.002000
|
| 420 |
+
2023-02-04 13:31:17,021 - INFO - [Train] step: 18399, loss_advD: 1.153739, lr_D: 0.000200
|
| 421 |
+
2023-02-04 13:31:17,092 - INFO - [Train] step: 18399, loss_advG: 1.186987, loss_rec: 0.004871, lr_G: 0.002000
|
| 422 |
+
2023-02-04 13:31:24,209 - INFO - [Eval] step: 18399, psnr: 19.539467, ssim: 0.594941, l1: 0.071468
|
| 423 |
+
2023-02-04 13:31:55,012 - INFO - [Train] step: 18499, loss_advD: 1.222012, lr_D: 0.000200
|
| 424 |
+
2023-02-04 13:31:55,084 - INFO - [Train] step: 18499, loss_advG: 1.363481, loss_rec: 0.004737, lr_G: 0.002000
|
| 425 |
+
2023-02-04 13:32:28,967 - INFO - [Train] step: 18599, loss_advD: 1.382905, lr_D: 0.000200
|
| 426 |
+
2023-02-04 13:32:29,042 - INFO - [Train] step: 18599, loss_advG: 2.645669, loss_rec: 0.004572, lr_G: 0.002000
|
| 427 |
+
2023-02-04 13:33:03,803 - INFO - [Train] step: 18699, loss_advD: 4.688550, lr_D: 0.000200
|
| 428 |
+
2023-02-04 13:33:03,875 - INFO - [Train] step: 18699, loss_advG: 3.568697, loss_rec: 0.005122, lr_G: 0.002000
|
| 429 |
+
2023-02-04 13:33:37,846 - INFO - [Train] step: 18799, loss_advD: 1.172647, lr_D: 0.000200
|
| 430 |
+
2023-02-04 13:33:37,917 - INFO - [Train] step: 18799, loss_advG: 1.219532, loss_rec: 0.004601, lr_G: 0.002000
|
| 431 |
+
2023-02-04 13:33:43,153 - INFO - [Eval] step: 18799, psnr: 19.569210, ssim: 0.600206, l1: 0.071041
|
| 432 |
+
2023-02-04 13:34:18,969 - INFO - [Train] step: 18899, loss_advD: 1.054272, lr_D: 0.000200
|
| 433 |
+
2023-02-04 13:34:19,041 - INFO - [Train] step: 18899, loss_advG: 1.220890, loss_rec: 0.004996, lr_G: 0.002000
|
| 434 |
+
2023-02-04 13:34:54,340 - INFO - [Train] step: 18999, loss_advD: 1.446971, lr_D: 0.000200
|
| 435 |
+
2023-02-04 13:34:54,411 - INFO - [Train] step: 18999, loss_advG: 0.555114, loss_rec: 0.004649, lr_G: 0.002000
|
| 436 |
+
2023-02-04 13:35:28,793 - INFO - [Train] step: 19099, loss_advD: 1.370790, lr_D: 0.000200
|
| 437 |
+
2023-02-04 13:35:28,864 - INFO - [Train] step: 19099, loss_advG: 0.843318, loss_rec: 0.004804, lr_G: 0.002000
|
| 438 |
+
2023-02-04 13:36:01,822 - INFO - [Train] step: 19199, loss_advD: 1.367365, lr_D: 0.000200
|
| 439 |
+
2023-02-04 13:36:01,894 - INFO - [Train] step: 19199, loss_advG: 0.863606, loss_rec: 0.004555, lr_G: 0.002000
|
| 440 |
+
2023-02-04 13:36:09,451 - INFO - [Eval] step: 19199, psnr: 19.581995, ssim: 0.601368, l1: 0.070927
|
| 441 |
+
2023-02-04 13:36:41,207 - INFO - [Train] step: 19299, loss_advD: 0.593830, lr_D: 0.000200
|
| 442 |
+
2023-02-04 13:36:41,279 - INFO - [Train] step: 19299, loss_advG: 2.662753, loss_rec: 0.005814, lr_G: 0.002000
|
| 443 |
+
2023-02-04 13:37:15,457 - INFO - [Train] step: 19399, loss_advD: 0.578900, lr_D: 0.000200
|
| 444 |
+
2023-02-04 13:37:15,529 - INFO - [Train] step: 19399, loss_advG: 2.232649, loss_rec: 0.005360, lr_G: 0.002000
|
| 445 |
+
2023-02-04 13:37:50,444 - INFO - [Train] step: 19499, loss_advD: 0.791096, lr_D: 0.000200
|
| 446 |
+
2023-02-04 13:37:50,516 - INFO - [Train] step: 19499, loss_advG: 2.017072, loss_rec: 0.005948, lr_G: 0.002000
|
| 447 |
+
2023-02-04 13:38:23,256 - INFO - [Train] step: 19599, loss_advD: 0.804040, lr_D: 0.000200
|
| 448 |
+
2023-02-04 13:38:23,328 - INFO - [Train] step: 19599, loss_advG: 2.733740, loss_rec: 0.005402, lr_G: 0.002000
|
| 449 |
+
2023-02-04 13:38:30,997 - INFO - [Eval] step: 19599, psnr: 19.515013, ssim: 0.589956, l1: 0.071659
|
| 450 |
+
2023-02-04 13:39:01,071 - INFO - [Train] step: 19699, loss_advD: 1.294509, lr_D: 0.000200
|
| 451 |
+
2023-02-04 13:39:01,144 - INFO - [Train] step: 19699, loss_advG: 2.472847, loss_rec: 0.005097, lr_G: 0.002000
|
| 452 |
+
2023-02-04 13:39:35,975 - INFO - [Train] step: 19799, loss_advD: 1.159284, lr_D: 0.000200
|
| 453 |
+
2023-02-04 13:39:36,047 - INFO - [Train] step: 19799, loss_advG: 0.842768, loss_rec: 0.005072, lr_G: 0.002000
|
| 454 |
+
2023-02-04 13:40:10,801 - INFO - [Train] step: 19899, loss_advD: 1.203013, lr_D: 0.000200
|
| 455 |
+
2023-02-04 13:40:10,873 - INFO - [Train] step: 19899, loss_advG: 0.747017, loss_rec: 0.005106, lr_G: 0.002000
|
| 456 |
+
2023-02-04 13:40:44,568 - INFO - [Train] step: 19999, loss_advD: 1.254659, lr_D: 0.000200
|
| 457 |
+
2023-02-04 13:40:44,641 - INFO - [Train] step: 19999, loss_advG: 0.775798, loss_rec: 0.004538, lr_G: 0.002000
|
| 458 |
+
2023-02-04 13:40:52,366 - INFO - [Eval] step: 19999, psnr: 19.555450, ssim: 0.599635, l1: 0.071060
|
| 459 |
+
2023-02-04 13:41:24,411 - INFO - [Train] step: 20099, loss_advD: 1.214682, lr_D: 0.000200
|
| 460 |
+
2023-02-04 13:41:24,483 - INFO - [Train] step: 20099, loss_advG: 0.872831, loss_rec: 0.004892, lr_G: 0.002000
|
| 461 |
+
2023-02-04 13:41:59,242 - INFO - [Train] step: 20199, loss_advD: 1.306068, lr_D: 0.000200
|
| 462 |
+
2023-02-04 13:41:59,314 - INFO - [Train] step: 20199, loss_advG: 1.709125, loss_rec: 0.004238, lr_G: 0.002000
|
| 463 |
+
2023-02-04 13:42:33,331 - INFO - [Train] step: 20299, loss_advD: 1.306616, lr_D: 0.000200
|
| 464 |
+
2023-02-04 13:42:33,403 - INFO - [Train] step: 20299, loss_advG: 1.030821, loss_rec: 0.005177, lr_G: 0.002000
|
| 465 |
+
2023-02-04 13:43:09,891 - INFO - [Train] step: 20399, loss_advD: 1.303520, lr_D: 0.000200
|
| 466 |
+
2023-02-04 13:43:09,963 - INFO - [Train] step: 20399, loss_advG: 1.165717, loss_rec: 0.004608, lr_G: 0.002000
|
| 467 |
+
2023-02-04 13:43:16,971 - INFO - [Eval] step: 20399, psnr: 19.581654, ssim: 0.598987, l1: 0.071133
|
| 468 |
+
2023-02-04 13:43:47,869 - INFO - [Train] step: 20499, loss_advD: 1.228132, lr_D: 0.000200
|
| 469 |
+
2023-02-04 13:43:47,941 - INFO - [Train] step: 20499, loss_advG: 0.322889, loss_rec: 0.004695, lr_G: 0.002000
|
| 470 |
+
2023-02-04 13:44:22,347 - INFO - [Train] step: 20599, loss_advD: 1.067814, lr_D: 0.000200
|
| 471 |
+
2023-02-04 13:44:22,420 - INFO - [Train] step: 20599, loss_advG: 0.971382, loss_rec: 0.004650, lr_G: 0.002000
|
| 472 |
+
2023-02-04 13:44:57,516 - INFO - [Train] step: 20699, loss_advD: 0.609341, lr_D: 0.000200
|
| 473 |
+
2023-02-04 13:44:57,588 - INFO - [Train] step: 20699, loss_advG: 2.246245, loss_rec: 0.005093, lr_G: 0.002000
|
| 474 |
+
2023-02-04 13:45:31,901 - INFO - [Train] step: 20799, loss_advD: 0.965894, lr_D: 0.000200
|
| 475 |
+
2023-02-04 13:45:31,973 - INFO - [Train] step: 20799, loss_advG: 0.973909, loss_rec: 0.005161, lr_G: 0.002000
|
| 476 |
+
2023-02-04 13:45:39,022 - INFO - [Eval] step: 20799, psnr: 19.564312, ssim: 0.598810, l1: 0.071212
|
| 477 |
+
2023-02-04 13:46:09,547 - INFO - [Train] step: 20899, loss_advD: 0.902693, lr_D: 0.000200
|
| 478 |
+
2023-02-04 13:46:09,619 - INFO - [Train] step: 20899, loss_advG: 2.707290, loss_rec: 0.005548, lr_G: 0.002000
|
| 479 |
+
2023-02-04 13:46:43,773 - INFO - [Train] step: 20999, loss_advD: 0.756471, lr_D: 0.000200
|
| 480 |
+
2023-02-04 13:46:43,845 - INFO - [Train] step: 20999, loss_advG: 1.525313, loss_rec: 0.005416, lr_G: 0.002000
|
| 481 |
+
2023-02-04 13:47:18,597 - INFO - [Train] step: 21099, loss_advD: 1.197797, lr_D: 0.000200
|
| 482 |
+
2023-02-04 13:47:18,668 - INFO - [Train] step: 21099, loss_advG: 1.072445, loss_rec: 0.005511, lr_G: 0.002000
|
| 483 |
+
2023-02-04 13:47:52,762 - INFO - [Train] step: 21199, loss_advD: 0.701307, lr_D: 0.000200
|
| 484 |
+
2023-02-04 13:47:52,834 - INFO - [Train] step: 21199, loss_advG: 3.334248, loss_rec: 0.006232, lr_G: 0.002000
|
| 485 |
+
2023-02-04 13:47:59,917 - INFO - [Eval] step: 21199, psnr: 19.523209, ssim: 0.590660, l1: 0.072141
|
| 486 |
+
2023-02-04 13:48:30,753 - INFO - [Train] step: 21299, loss_advD: 1.301635, lr_D: 0.000200
|
| 487 |
+
2023-02-04 13:48:30,825 - INFO - [Train] step: 21299, loss_advG: 0.964228, loss_rec: 0.005461, lr_G: 0.002000
|
| 488 |
+
2023-02-04 13:49:05,156 - INFO - [Train] step: 21399, loss_advD: 0.608103, lr_D: 0.000200
|
| 489 |
+
2023-02-04 13:49:05,229 - INFO - [Train] step: 21399, loss_advG: 2.348385, loss_rec: 0.005363, lr_G: 0.002000
|
| 490 |
+
2023-02-04 13:49:39,327 - INFO - [Train] step: 21499, loss_advD: 1.348451, lr_D: 0.000200
|
| 491 |
+
2023-02-04 13:49:39,400 - INFO - [Train] step: 21499, loss_advG: 1.193659, loss_rec: 0.005113, lr_G: 0.002000
|
| 492 |
+
2023-02-04 13:50:14,215 - INFO - [Train] step: 21599, loss_advD: 1.097272, lr_D: 0.000200
|
| 493 |
+
2023-02-04 13:50:14,287 - INFO - [Train] step: 21599, loss_advG: 2.349706, loss_rec: 0.004938, lr_G: 0.002000
|
| 494 |
+
2023-02-04 13:50:21,123 - INFO - [Eval] step: 21599, psnr: 19.560673, ssim: 0.596724, l1: 0.071240
|
| 495 |
+
2023-02-04 13:50:52,577 - INFO - [Train] step: 21699, loss_advD: 1.701270, lr_D: 0.000200
|
| 496 |
+
2023-02-04 13:50:52,649 - INFO - [Train] step: 21699, loss_advG: 0.568749, loss_rec: 0.005326, lr_G: 0.002000
|
| 497 |
+
2023-02-04 13:51:26,601 - INFO - [Train] step: 21799, loss_advD: 1.077778, lr_D: 0.000200
|
| 498 |
+
2023-02-04 13:51:26,673 - INFO - [Train] step: 21799, loss_advG: 1.103633, loss_rec: 0.005762, lr_G: 0.002000
|
| 499 |
+
2023-02-04 13:52:00,610 - INFO - [Train] step: 21899, loss_advD: 1.196398, lr_D: 0.000200
|
| 500 |
+
2023-02-04 13:52:00,681 - INFO - [Train] step: 21899, loss_advG: 1.211938, loss_rec: 0.004690, lr_G: 0.002000
|
| 501 |
+
2023-02-04 13:52:37,909 - INFO - [Train] step: 21999, loss_advD: 1.357157, lr_D: 0.000200
|
| 502 |
+
2023-02-04 13:52:37,981 - INFO - [Train] step: 21999, loss_advG: 1.093839, loss_rec: 0.004416, lr_G: 0.002000
|
| 503 |
+
2023-02-04 13:52:45,130 - INFO - [Eval] step: 21999, psnr: 19.580835, ssim: 0.600887, l1: 0.071004
|
| 504 |
+
2023-02-04 13:53:17,613 - INFO - [Train] step: 22099, loss_advD: 1.504924, lr_D: 0.000200
|
| 505 |
+
2023-02-04 13:53:17,685 - INFO - [Train] step: 22099, loss_advG: 1.335078, loss_rec: 0.004264, lr_G: 0.002000
|
| 506 |
+
2023-02-04 13:53:50,127 - INFO - [Train] step: 22199, loss_advD: 1.374034, lr_D: 0.000200
|
| 507 |
+
2023-02-04 13:53:50,199 - INFO - [Train] step: 22199, loss_advG: 0.628326, loss_rec: 0.004118, lr_G: 0.002000
|
| 508 |
+
2023-02-04 13:54:24,620 - INFO - [Train] step: 22299, loss_advD: 1.427895, lr_D: 0.000200
|
| 509 |
+
2023-02-04 13:54:24,692 - INFO - [Train] step: 22299, loss_advG: 1.063001, loss_rec: 0.004575, lr_G: 0.002000
|
| 510 |
+
2023-02-04 13:55:00,352 - INFO - [Train] step: 22399, loss_advD: 1.674917, lr_D: 0.000200
|
| 511 |
+
2023-02-04 13:55:00,424 - INFO - [Train] step: 22399, loss_advG: 0.530506, loss_rec: 0.004033, lr_G: 0.002000
|
| 512 |
+
2023-02-04 13:55:07,442 - INFO - [Eval] step: 22399, psnr: 19.584143, ssim: 0.600916, l1: 0.071044
|
| 513 |
+
2023-02-04 13:55:40,521 - INFO - [Train] step: 22499, loss_advD: 1.129627, lr_D: 0.000200
|
| 514 |
+
2023-02-04 13:55:40,592 - INFO - [Train] step: 22499, loss_advG: 1.033798, loss_rec: 0.004150, lr_G: 0.002000
|
| 515 |
+
2023-02-04 13:56:14,933 - INFO - [Train] step: 22599, loss_advD: 1.195071, lr_D: 0.000200
|
| 516 |
+
2023-02-04 13:56:15,005 - INFO - [Train] step: 22599, loss_advG: 0.848869, loss_rec: 0.003956, lr_G: 0.002000
|
| 517 |
+
2023-02-04 13:56:49,282 - INFO - [Train] step: 22699, loss_advD: 1.666174, lr_D: 0.000200
|
| 518 |
+
2023-02-04 13:56:49,354 - INFO - [Train] step: 22699, loss_advG: 0.305120, loss_rec: 0.004274, lr_G: 0.002000
|
| 519 |
+
2023-02-04 13:57:24,031 - INFO - [Train] step: 22799, loss_advD: 1.141451, lr_D: 0.000200
|
| 520 |
+
2023-02-04 13:57:24,103 - INFO - [Train] step: 22799, loss_advG: 3.838215, loss_rec: 0.004394, lr_G: 0.002000
|
| 521 |
+
2023-02-04 13:57:31,126 - INFO - [Eval] step: 22799, psnr: 19.558262, ssim: 0.597344, l1: 0.071288
|
| 522 |
+
2023-02-04 13:58:02,775 - INFO - [Train] step: 22899, loss_advD: 1.135657, lr_D: 0.000200
|
| 523 |
+
2023-02-04 13:58:02,847 - INFO - [Train] step: 22899, loss_advG: 1.236047, loss_rec: 0.004320, lr_G: 0.002000
|
| 524 |
+
2023-02-04 13:58:36,625 - INFO - [Train] step: 22999, loss_advD: 1.243812, lr_D: 0.000200
|
| 525 |
+
2023-02-04 13:58:36,697 - INFO - [Train] step: 22999, loss_advG: 1.591118, loss_rec: 0.004440, lr_G: 0.002000
|
| 526 |
+
2023-02-04 13:59:11,957 - INFO - [Train] step: 23099, loss_advD: 1.246694, lr_D: 0.000200
|
| 527 |
+
2023-02-04 13:59:12,029 - INFO - [Train] step: 23099, loss_advG: 1.296901, loss_rec: 0.004517, lr_G: 0.002000
|
| 528 |
+
2023-02-04 13:59:46,315 - INFO - [Train] step: 23199, loss_advD: 0.996612, lr_D: 0.000200
|
| 529 |
+
2023-02-04 13:59:46,387 - INFO - [Train] step: 23199, loss_advG: 2.097108, loss_rec: 0.004324, lr_G: 0.002000
|
| 530 |
+
2023-02-04 13:59:53,595 - INFO - [Eval] step: 23199, psnr: 19.526474, ssim: 0.595582, l1: 0.071557
|
| 531 |
+
2023-02-04 14:00:25,871 - INFO - [Train] step: 23299, loss_advD: 1.154266, lr_D: 0.000200
|
| 532 |
+
2023-02-04 14:00:25,943 - INFO - [Train] step: 23299, loss_advG: 0.701051, loss_rec: 0.004369, lr_G: 0.002000
|
| 533 |
+
2023-02-04 14:00:59,451 - INFO - [Train] step: 23399, loss_advD: 1.170520, lr_D: 0.000200
|
| 534 |
+
2023-02-04 14:00:59,522 - INFO - [Train] step: 23399, loss_advG: 0.986886, loss_rec: 0.004297, lr_G: 0.002000
|
| 535 |
+
2023-02-04 14:01:33,487 - INFO - [Train] step: 23499, loss_advD: 1.189126, lr_D: 0.000200
|
| 536 |
+
2023-02-04 14:01:33,558 - INFO - [Train] step: 23499, loss_advG: 0.877370, loss_rec: 0.004313, lr_G: 0.002000
|
| 537 |
+
2023-02-04 14:02:09,638 - INFO - [Train] step: 23599, loss_advD: 1.398768, lr_D: 0.000200
|
| 538 |
+
2023-02-04 14:02:09,711 - INFO - [Train] step: 23599, loss_advG: 1.645268, loss_rec: 0.004626, lr_G: 0.002000
|
| 539 |
+
2023-02-04 14:02:17,323 - INFO - [Eval] step: 23599, psnr: 19.577515, ssim: 0.596533, l1: 0.071461
|
| 540 |
+
2023-02-04 14:02:48,741 - INFO - [Train] step: 23699, loss_advD: 1.214927, lr_D: 0.000200
|
| 541 |
+
2023-02-04 14:02:48,813 - INFO - [Train] step: 23699, loss_advG: 0.858468, loss_rec: 0.004295, lr_G: 0.002000
|
| 542 |
+
2023-02-04 14:03:24,223 - INFO - [Train] step: 23799, loss_advD: 1.070430, lr_D: 0.000200
|
| 543 |
+
2023-02-04 14:03:24,294 - INFO - [Train] step: 23799, loss_advG: 1.197730, loss_rec: 0.004408, lr_G: 0.002000
|
| 544 |
+
2023-02-04 14:03:57,411 - INFO - [Train] step: 23899, loss_advD: 1.246273, lr_D: 0.000200
|
| 545 |
+
2023-02-04 14:03:57,483 - INFO - [Train] step: 23899, loss_advG: 0.681217, loss_rec: 0.005184, lr_G: 0.002000
|
| 546 |
+
2023-02-04 14:04:31,703 - INFO - [Train] step: 23999, loss_advD: 1.158311, lr_D: 0.000200
|
| 547 |
+
2023-02-04 14:04:31,775 - INFO - [Train] step: 23999, loss_advG: 1.041140, loss_rec: 0.004301, lr_G: 0.002000
|
| 548 |
+
2023-02-04 14:04:39,406 - INFO - [Eval] step: 23999, psnr: 19.557756, ssim: 0.599547, l1: 0.071178
|
| 549 |
+
2023-02-04 14:05:11,076 - INFO - [Train] step: 24099, loss_advD: 0.864937, lr_D: 0.000200
|
| 550 |
+
2023-02-04 14:05:11,149 - INFO - [Train] step: 24099, loss_advG: 2.050849, loss_rec: 0.005011, lr_G: 0.002000
|
| 551 |
+
2023-02-04 14:05:45,599 - INFO - [Train] step: 24199, loss_advD: 0.883594, lr_D: 0.000200
|
| 552 |
+
2023-02-04 14:05:45,670 - INFO - [Train] step: 24199, loss_advG: 2.299762, loss_rec: 0.004832, lr_G: 0.002000
|
| 553 |
+
2023-02-04 14:06:18,260 - INFO - [Train] step: 24299, loss_advD: 1.222680, lr_D: 0.000200
|
| 554 |
+
2023-02-04 14:06:18,332 - INFO - [Train] step: 24299, loss_advG: 2.612086, loss_rec: 0.005305, lr_G: 0.002000
|
| 555 |
+
2023-02-04 14:06:53,347 - INFO - [Train] step: 24399, loss_advD: 1.076174, lr_D: 0.000200
|
| 556 |
+
2023-02-04 14:06:53,419 - INFO - [Train] step: 24399, loss_advG: 3.876965, loss_rec: 0.005470, lr_G: 0.002000
|
| 557 |
+
2023-02-04 14:07:00,769 - INFO - [Eval] step: 24399, psnr: 19.548004, ssim: 0.595055, l1: 0.071591
|
| 558 |
+
2023-02-04 14:07:31,272 - INFO - [Train] step: 24499, loss_advD: 0.680254, lr_D: 0.000200
|
| 559 |
+
2023-02-04 14:07:31,344 - INFO - [Train] step: 24499, loss_advG: 2.430569, loss_rec: 0.005104, lr_G: 0.002000
|
| 560 |
+
2023-02-04 14:08:05,765 - INFO - [Train] step: 24599, loss_advD: 0.966866, lr_D: 0.000200
|
| 561 |
+
2023-02-04 14:08:05,836 - INFO - [Train] step: 24599, loss_advG: 3.503043, loss_rec: 0.005517, lr_G: 0.002000
|
| 562 |
+
2023-02-04 14:08:39,208 - INFO - [Train] step: 24699, loss_advD: 0.700791, lr_D: 0.000200
|
| 563 |
+
2023-02-04 14:08:39,280 - INFO - [Train] step: 24699, loss_advG: 2.597078, loss_rec: 0.005007, lr_G: 0.002000
|
| 564 |
+
2023-02-04 14:09:13,800 - INFO - [Train] step: 24799, loss_advD: 0.174870, lr_D: 0.000200
|
| 565 |
+
2023-02-04 14:09:13,872 - INFO - [Train] step: 24799, loss_advG: 2.869739, loss_rec: 0.005079, lr_G: 0.002000
|
| 566 |
+
2023-02-04 14:09:21,405 - INFO - [Eval] step: 24799, psnr: 19.538134, ssim: 0.595665, l1: 0.071866
|
| 567 |
+
2023-02-04 14:09:53,039 - INFO - [Train] step: 24899, loss_advD: 0.943872, lr_D: 0.000200
|
| 568 |
+
2023-02-04 14:09:53,111 - INFO - [Train] step: 24899, loss_advG: 3.023240, loss_rec: 0.005456, lr_G: 0.002000
|
| 569 |
+
2023-02-04 14:10:26,971 - INFO - [Train] step: 24999, loss_advD: 0.873226, lr_D: 0.000200
|
| 570 |
+
2023-02-04 14:10:27,042 - INFO - [Train] step: 24999, loss_advG: 2.269081, loss_rec: 0.004883, lr_G: 0.002000
|
| 571 |
+
2023-02-04 14:11:03,289 - INFO - [Train] step: 25099, loss_advD: 0.519778, lr_D: 0.000200
|
| 572 |
+
2023-02-04 14:11:03,361 - INFO - [Train] step: 25099, loss_advG: 2.550261, loss_rec: 0.005148, lr_G: 0.002000
|
| 573 |
+
2023-02-04 14:11:36,955 - INFO - [Train] step: 25199, loss_advD: 0.955827, lr_D: 0.000200
|
| 574 |
+
2023-02-04 14:11:37,027 - INFO - [Train] step: 25199, loss_advG: 1.860806, loss_rec: 0.005294, lr_G: 0.002000
|
| 575 |
+
2023-02-04 14:11:44,754 - INFO - [Eval] step: 25199, psnr: 19.562908, ssim: 0.598327, l1: 0.071237
|
| 576 |
+
2023-02-04 14:12:15,761 - INFO - [Train] step: 25299, loss_advD: 0.403776, lr_D: 0.000200
|
| 577 |
+
2023-02-04 14:12:15,833 - INFO - [Train] step: 25299, loss_advG: 2.435084, loss_rec: 0.005856, lr_G: 0.002000
|
| 578 |
+
2023-02-04 14:12:51,364 - INFO - [Train] step: 25399, loss_advD: 1.987562, lr_D: 0.000200
|
| 579 |
+
2023-02-04 14:12:51,436 - INFO - [Train] step: 25399, loss_advG: 0.086018, loss_rec: 0.005542, lr_G: 0.002000
|
| 580 |
+
2023-02-04 14:13:26,135 - INFO - [Train] step: 25499, loss_advD: 0.944387, lr_D: 0.000200
|
| 581 |
+
2023-02-04 14:13:26,207 - INFO - [Train] step: 25499, loss_advG: 3.572580, loss_rec: 0.005278, lr_G: 0.002000
|
| 582 |
+
2023-02-04 14:13:59,335 - INFO - [Train] step: 25599, loss_advD: 0.165955, lr_D: 0.000200
|
| 583 |
+
2023-02-04 14:13:59,407 - INFO - [Train] step: 25599, loss_advG: 3.489944, loss_rec: 0.006137, lr_G: 0.002000
|
| 584 |
+
2023-02-04 14:14:07,050 - INFO - [Eval] step: 25599, psnr: 19.507189, ssim: 0.591787, l1: 0.071959
|
| 585 |
+
2023-02-04 14:14:37,936 - INFO - [Train] step: 25699, loss_advD: 0.818241, lr_D: 0.000200
|
| 586 |
+
2023-02-04 14:14:38,008 - INFO - [Train] step: 25699, loss_advG: 2.487144, loss_rec: 0.005699, lr_G: 0.002000
|
| 587 |
+
2023-02-04 14:15:12,750 - INFO - [Train] step: 25799, loss_advD: 0.260155, lr_D: 0.000200
|
| 588 |
+
2023-02-04 14:15:12,822 - INFO - [Train] step: 25799, loss_advG: 2.925546, loss_rec: 0.006452, lr_G: 0.002000
|
| 589 |
+
2023-02-04 14:15:46,854 - INFO - [Train] step: 25899, loss_advD: 0.147586, lr_D: 0.000200
|
| 590 |
+
2023-02-04 14:15:46,926 - INFO - [Train] step: 25899, loss_advG: 3.492805, loss_rec: 0.006363, lr_G: 0.002000
|
| 591 |
+
2023-02-04 14:16:21,413 - INFO - [Train] step: 25999, loss_advD: 0.985186, lr_D: 0.000200
|
| 592 |
+
2023-02-04 14:16:21,485 - INFO - [Train] step: 25999, loss_advG: 4.926342, loss_rec: 0.006010, lr_G: 0.002000
|
| 593 |
+
2023-02-04 14:16:28,787 - INFO - [Eval] step: 25999, psnr: 19.548702, ssim: 0.594286, l1: 0.071313
|
| 594 |
+
2023-02-04 14:17:00,078 - INFO - [Train] step: 26099, loss_advD: 0.433502, lr_D: 0.000200
|
| 595 |
+
2023-02-04 14:17:00,150 - INFO - [Train] step: 26099, loss_advG: 2.576285, loss_rec: 0.005795, lr_G: 0.002000
|
| 596 |
+
2023-02-04 14:17:34,447 - INFO - [Train] step: 26199, loss_advD: 0.501245, lr_D: 0.000200
|
| 597 |
+
2023-02-04 14:17:34,519 - INFO - [Train] step: 26199, loss_advG: 1.628816, loss_rec: 0.006084, lr_G: 0.002000
|
| 598 |
+
2023-02-04 14:18:09,450 - INFO - [Train] step: 26299, loss_advD: 0.376359, lr_D: 0.000200
|
| 599 |
+
2023-02-04 14:18:09,522 - INFO - [Train] step: 26299, loss_advG: 2.705745, loss_rec: 0.006112, lr_G: 0.002000
|
| 600 |
+
2023-02-04 14:18:43,304 - INFO - [Train] step: 26399, loss_advD: 1.954063, lr_D: 0.000200
|
| 601 |
+
2023-02-04 14:18:43,376 - INFO - [Train] step: 26399, loss_advG: 0.068622, loss_rec: 0.007025, lr_G: 0.002000
|
| 602 |
+
2023-02-04 14:18:50,419 - INFO - [Eval] step: 26399, psnr: 19.521448, ssim: 0.595083, l1: 0.071811
|
| 603 |
+
2023-02-04 14:19:21,726 - INFO - [Train] step: 26499, loss_advD: 0.305817, lr_D: 0.000200
|
| 604 |
+
2023-02-04 14:19:21,797 - INFO - [Train] step: 26499, loss_advG: 4.106220, loss_rec: 0.006453, lr_G: 0.002000
|
| 605 |
+
2023-02-04 14:19:56,427 - INFO - [Train] step: 26599, loss_advD: 0.094997, lr_D: 0.000200
|
| 606 |
+
2023-02-04 14:19:56,498 - INFO - [Train] step: 26599, loss_advG: 4.110933, loss_rec: 0.006928, lr_G: 0.002000
|
| 607 |
+
2023-02-04 14:20:33,424 - INFO - [Train] step: 26699, loss_advD: 0.098355, lr_D: 0.000200
|
| 608 |
+
2023-02-04 14:20:33,496 - INFO - [Train] step: 26699, loss_advG: 3.803917, loss_rec: 0.007305, lr_G: 0.002000
|
| 609 |
+
2023-02-04 14:21:08,070 - INFO - [Train] step: 26799, loss_advD: 0.898252, lr_D: 0.000200
|
| 610 |
+
2023-02-04 14:21:08,148 - INFO - [Train] step: 26799, loss_advG: 4.103852, loss_rec: 0.006605, lr_G: 0.002000
|
| 611 |
+
2023-02-04 14:21:15,162 - INFO - [Eval] step: 26799, psnr: 19.586929, ssim: 0.602907, l1: 0.070872
|
| 612 |
+
2023-02-04 14:21:46,462 - INFO - [Train] step: 26899, loss_advD: 0.372566, lr_D: 0.000200
|
| 613 |
+
2023-02-04 14:21:46,534 - INFO - [Train] step: 26899, loss_advG: 3.096443, loss_rec: 0.006687, lr_G: 0.002000
|
| 614 |
+
2023-02-04 14:22:22,159 - INFO - [Train] step: 26999, loss_advD: 0.138186, lr_D: 0.000200
|
| 615 |
+
2023-02-04 14:22:22,231 - INFO - [Train] step: 26999, loss_advG: 3.880076, loss_rec: 0.006908, lr_G: 0.002000
|
| 616 |
+
2023-02-04 14:22:56,887 - INFO - [Train] step: 27099, loss_advD: 0.260805, lr_D: 0.000200
|
| 617 |
+
2023-02-04 14:22:56,959 - INFO - [Train] step: 27099, loss_advG: 2.644982, loss_rec: 0.007407, lr_G: 0.002000
|
celebahq/samples.zip
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:edab7471bcf1abf10f4dfcaaf76e17b7e7603c05edecb8e4a14fd30bce1c199a
|
| 3 |
+
size 29098794
|
celebahq/tensorboard/events.out.tfevents.1675510906.jason-system.7073.0
ADDED
|
@@ -0,0 +1,3 @@
|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:14d4a3e035b7774507875cbcc9e7451c698d583721794cd1ea4abb62b1d6603b
|
| 3 |
+
size 7084633
|