Upload cgan_cbn_cifar10 checkpoints and training logs
Browse files- cgan_cbn_cifar10/ckpt/best/meta.pt +3 -0
- cgan_cbn_cifar10/ckpt/best/model.pt +3 -0
- cgan_cbn_cifar10/ckpt/best/optimizer.pt +3 -0
- cgan_cbn_cifar10/ckpt/step039999/meta.pt +3 -0
- cgan_cbn_cifar10/ckpt/step039999/model.pt +3 -0
- cgan_cbn_cifar10/ckpt/step039999/optimizer.pt +3 -0
- cgan_cbn_cifar10/config-2023-07-12-16-51-27.yaml +63 -0
- cgan_cbn_cifar10/output-2023-07-12-16-51-27.log +852 -0
- cgan_cbn_cifar10/samples.zip +3 -0
- cgan_cbn_cifar10/tensorboard/events.out.tfevents.1689180691.jason-system.1481.0 +3 -0
cgan_cbn_cifar10/ckpt/best/meta.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:18a2af67fb8211a2caf4c345e91cbdd54c8f68af5784d49db5a5679c5475cce0
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size 425
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cgan_cbn_cifar10/ckpt/best/model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:297df12f2e27f5757ceeb971a734ce6b064d4d4760d9337d25051d94d854ae60
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size 90975508
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cgan_cbn_cifar10/ckpt/best/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c7fb0133d0d147659dd12380df8ce5b6b2fa63015963d69d6683a09bb81f16ac
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size 181896667
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cgan_cbn_cifar10/ckpt/step039999/meta.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:87eef79f18b95bc2ab817de168f547ab0a32ab86418ff6d379144fe58376c2c5
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size 425
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cgan_cbn_cifar10/ckpt/step039999/model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:b2ce792cbfdc4a4f681a59ece8856b9f5d51737151728679ed9967718822536e
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size 90975508
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cgan_cbn_cifar10/ckpt/step039999/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0ac6bb2efc39bbee32ddb5b8212a06e488a481bf0fb83adb3dc06c219f64d0e
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size 181896667
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cgan_cbn_cifar10/config-2023-07-12-16-51-27.yaml
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seed: 5678
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data:
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name: CIFAR-10
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dataroot: /data/CIFAR-10/
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img_size: 32
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img_channels: 3
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n_classes: 10
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dataloader:
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num_workers: 4
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pin_memory: true
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prefetch_factor: 2
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G:
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target: models.simple_cnn_cond.GeneratorConditionalCBN
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params:
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z_dim: 100
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n_classes: 10
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dim: 256
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dim_mults:
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- 4
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- 2
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- 1
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out_dim: 3
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with_bn: true
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with_tanh: true
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D:
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target: models.simple_cnn_cond.DiscriminatorConditional
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params:
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n_classes: 10
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in_dim: 3
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dim: 256
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dim_mults:
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- 1
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- 2
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- 4
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with_bn: true
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train:
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n_steps: 40000
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batch_size: 512
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d_iters: 5
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resume: null
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print_freq: 100
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save_freq: 10000
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sample_freq: 1000
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eval_freq: 1000
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n_samples_per_class: 6
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loss_fn:
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target: losses.vanilla_gan_loss.VanillaGANLoss
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params:
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lambda_r1_reg: 0.0
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optim_G:
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target: torch.optim.Adam
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params:
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lr: 0.0008
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betas:
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- 0.5
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- 0.999
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optim_D:
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target: torch.optim.Adam
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params:
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lr: 0.0008
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betas:
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- 0.5
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- 0.999
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cgan_cbn_cifar10/output-2023-07-12-16-51-27.log
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|
| 1 |
+
2023-07-12 16:51:31,075 - INFO - Experiment directory: ./runs/cgan_cbn_cifar10/
|
| 2 |
+
2023-07-12 16:51:31,076 - INFO - Number of processes: 1
|
| 3 |
+
2023-07-12 16:51:31,077 - INFO - Distributed type: DistributedType.NO
|
| 4 |
+
2023-07-12 16:51:31,077 - INFO - Mixed precision: no
|
| 5 |
+
2023-07-12 16:51:31,077 - INFO - ==============================
|
| 6 |
+
2023-07-12 16:51:31,597 - INFO - Size of training set: 50000
|
| 7 |
+
2023-07-12 16:51:31,597 - INFO - Batch size per process: 512
|
| 8 |
+
2023-07-12 16:51:31,597 - INFO - Total batch size: 512
|
| 9 |
+
2023-07-12 16:51:31,597 - INFO - ==============================
|
| 10 |
+
2023-07-12 16:51:32,623 - INFO - Start training...
|
| 11 |
+
2023-07-12 16:52:30,815 - INFO - [Train] step: 99, loss_D: 0.003105, lr_D: 0.000800
|
| 12 |
+
2023-07-12 16:52:30,902 - INFO - [Train] step: 99, loss_G: 10.790014, lr_G: 0.000800
|
| 13 |
+
2023-07-12 16:53:27,833 - INFO - [Train] step: 199, loss_D: 0.005162, lr_D: 0.000800
|
| 14 |
+
2023-07-12 16:53:27,920 - INFO - [Train] step: 199, loss_G: 6.575283, lr_G: 0.000800
|
| 15 |
+
2023-07-12 16:54:24,950 - INFO - [Train] step: 299, loss_D: 0.015990, lr_D: 0.000800
|
| 16 |
+
2023-07-12 16:54:25,037 - INFO - [Train] step: 299, loss_G: 5.417484, lr_G: 0.000800
|
| 17 |
+
2023-07-12 16:55:22,225 - INFO - [Train] step: 399, loss_D: 0.014408, lr_D: 0.000800
|
| 18 |
+
2023-07-12 16:55:22,312 - INFO - [Train] step: 399, loss_G: 5.476928, lr_G: 0.000800
|
| 19 |
+
2023-07-12 16:56:19,515 - INFO - [Train] step: 499, loss_D: 0.021238, lr_D: 0.000800
|
| 20 |
+
2023-07-12 16:56:19,603 - INFO - [Train] step: 499, loss_G: 6.185371, lr_G: 0.000800
|
| 21 |
+
2023-07-12 16:57:16,831 - INFO - [Train] step: 599, loss_D: 0.018802, lr_D: 0.000800
|
| 22 |
+
2023-07-12 16:57:16,918 - INFO - [Train] step: 599, loss_G: 5.295971, lr_G: 0.000800
|
| 23 |
+
2023-07-12 16:58:14,312 - INFO - [Train] step: 699, loss_D: 0.009105, lr_D: 0.000800
|
| 24 |
+
2023-07-12 16:58:14,400 - INFO - [Train] step: 699, loss_G: 5.853440, lr_G: 0.000800
|
| 25 |
+
2023-07-12 16:59:11,670 - INFO - [Train] step: 799, loss_D: 0.014588, lr_D: 0.000800
|
| 26 |
+
2023-07-12 16:59:11,758 - INFO - [Train] step: 799, loss_G: 6.018249, lr_G: 0.000800
|
| 27 |
+
2023-07-12 17:00:09,009 - INFO - [Train] step: 899, loss_D: 0.025501, lr_D: 0.000800
|
| 28 |
+
2023-07-12 17:00:09,096 - INFO - [Train] step: 899, loss_G: 5.412691, lr_G: 0.000800
|
| 29 |
+
2023-07-12 17:01:06,349 - INFO - [Train] step: 999, loss_D: 0.004077, lr_D: 0.000800
|
| 30 |
+
2023-07-12 17:01:06,436 - INFO - [Train] step: 999, loss_G: 7.350991, lr_G: 0.000800
|
| 31 |
+
2023-07-12 17:02:10,784 - INFO - [Eval] step: 999, fid: 147.988934
|
| 32 |
+
2023-07-12 17:03:08,233 - INFO - [Train] step: 1099, loss_D: 0.018384, lr_D: 0.000800
|
| 33 |
+
2023-07-12 17:03:08,321 - INFO - [Train] step: 1099, loss_G: 6.915034, lr_G: 0.000800
|
| 34 |
+
2023-07-12 17:04:05,642 - INFO - [Train] step: 1199, loss_D: 0.029909, lr_D: 0.000800
|
| 35 |
+
2023-07-12 17:04:05,729 - INFO - [Train] step: 1199, loss_G: 5.504713, lr_G: 0.000800
|
| 36 |
+
2023-07-12 17:05:03,202 - INFO - [Train] step: 1299, loss_D: 0.045890, lr_D: 0.000800
|
| 37 |
+
2023-07-12 17:05:03,290 - INFO - [Train] step: 1299, loss_G: 5.696881, lr_G: 0.000800
|
| 38 |
+
2023-07-12 17:06:00,626 - INFO - [Train] step: 1399, loss_D: 0.026205, lr_D: 0.000800
|
| 39 |
+
2023-07-12 17:06:00,713 - INFO - [Train] step: 1399, loss_G: 4.888653, lr_G: 0.000800
|
| 40 |
+
2023-07-12 17:06:58,037 - INFO - [Train] step: 1499, loss_D: 0.019429, lr_D: 0.000800
|
| 41 |
+
2023-07-12 17:06:58,125 - INFO - [Train] step: 1499, loss_G: 5.075842, lr_G: 0.000800
|
| 42 |
+
2023-07-12 17:07:55,441 - INFO - [Train] step: 1599, loss_D: 0.021472, lr_D: 0.000800
|
| 43 |
+
2023-07-12 17:07:55,529 - INFO - [Train] step: 1599, loss_G: 5.127141, lr_G: 0.000800
|
| 44 |
+
2023-07-12 17:08:52,842 - INFO - [Train] step: 1699, loss_D: 0.022238, lr_D: 0.000800
|
| 45 |
+
2023-07-12 17:08:52,929 - INFO - [Train] step: 1699, loss_G: 4.819377, lr_G: 0.000800
|
| 46 |
+
2023-07-12 17:09:50,264 - INFO - [Train] step: 1799, loss_D: 0.036398, lr_D: 0.000800
|
| 47 |
+
2023-07-12 17:09:50,351 - INFO - [Train] step: 1799, loss_G: 5.162158, lr_G: 0.000800
|
| 48 |
+
2023-07-12 17:10:47,667 - INFO - [Train] step: 1899, loss_D: 0.028905, lr_D: 0.000800
|
| 49 |
+
2023-07-12 17:10:47,754 - INFO - [Train] step: 1899, loss_G: 5.107882, lr_G: 0.000800
|
| 50 |
+
2023-07-12 17:11:45,195 - INFO - [Train] step: 1999, loss_D: 0.036849, lr_D: 0.000800
|
| 51 |
+
2023-07-12 17:11:45,283 - INFO - [Train] step: 1999, loss_G: 4.894027, lr_G: 0.000800
|
| 52 |
+
2023-07-12 17:12:49,366 - INFO - [Eval] step: 1999, fid: 95.961661
|
| 53 |
+
2023-07-12 17:13:46,985 - INFO - [Train] step: 2099, loss_D: 0.045795, lr_D: 0.000800
|
| 54 |
+
2023-07-12 17:13:47,072 - INFO - [Train] step: 2099, loss_G: 7.183059, lr_G: 0.000800
|
| 55 |
+
2023-07-12 17:14:44,397 - INFO - [Train] step: 2199, loss_D: 0.018250, lr_D: 0.000800
|
| 56 |
+
2023-07-12 17:14:44,485 - INFO - [Train] step: 2199, loss_G: 4.700519, lr_G: 0.000800
|
| 57 |
+
2023-07-12 17:15:41,824 - INFO - [Train] step: 2299, loss_D: 0.030321, lr_D: 0.000800
|
| 58 |
+
2023-07-12 17:15:41,912 - INFO - [Train] step: 2299, loss_G: 4.807626, lr_G: 0.000800
|
| 59 |
+
2023-07-12 17:16:39,229 - INFO - [Train] step: 2399, loss_D: 0.013947, lr_D: 0.000800
|
| 60 |
+
2023-07-12 17:16:39,317 - INFO - [Train] step: 2399, loss_G: 5.071939, lr_G: 0.000800
|
| 61 |
+
2023-07-12 17:17:36,650 - INFO - [Train] step: 2499, loss_D: 0.017522, lr_D: 0.000800
|
| 62 |
+
2023-07-12 17:17:36,737 - INFO - [Train] step: 2499, loss_G: 5.386928, lr_G: 0.000800
|
| 63 |
+
2023-07-12 17:18:34,197 - INFO - [Train] step: 2599, loss_D: 0.030984, lr_D: 0.000800
|
| 64 |
+
2023-07-12 17:18:34,285 - INFO - [Train] step: 2599, loss_G: 4.378212, lr_G: 0.000800
|
| 65 |
+
2023-07-12 17:19:31,600 - INFO - [Train] step: 2699, loss_D: 0.027854, lr_D: 0.000800
|
| 66 |
+
2023-07-12 17:19:31,687 - INFO - [Train] step: 2699, loss_G: 4.803050, lr_G: 0.000800
|
| 67 |
+
2023-07-12 17:20:29,006 - INFO - [Train] step: 2799, loss_D: 0.028994, lr_D: 0.000800
|
| 68 |
+
2023-07-12 17:20:29,093 - INFO - [Train] step: 2799, loss_G: 4.919062, lr_G: 0.000800
|
| 69 |
+
2023-07-12 17:21:26,400 - INFO - [Train] step: 2899, loss_D: 0.020073, lr_D: 0.000800
|
| 70 |
+
2023-07-12 17:21:26,488 - INFO - [Train] step: 2899, loss_G: 4.879203, lr_G: 0.000800
|
| 71 |
+
2023-07-12 17:22:23,809 - INFO - [Train] step: 2999, loss_D: 0.078545, lr_D: 0.000800
|
| 72 |
+
2023-07-12 17:22:23,896 - INFO - [Train] step: 2999, loss_G: 5.285282, lr_G: 0.000800
|
| 73 |
+
2023-07-12 17:23:28,072 - INFO - [Eval] step: 2999, fid: 61.421845
|
| 74 |
+
2023-07-12 17:24:25,717 - INFO - [Train] step: 3099, loss_D: 0.032204, lr_D: 0.000800
|
| 75 |
+
2023-07-12 17:24:25,804 - INFO - [Train] step: 3099, loss_G: 4.897223, lr_G: 0.000800
|
| 76 |
+
2023-07-12 17:25:23,147 - INFO - [Train] step: 3199, loss_D: 0.053038, lr_D: 0.000800
|
| 77 |
+
2023-07-12 17:25:23,235 - INFO - [Train] step: 3199, loss_G: 5.073289, lr_G: 0.000800
|
| 78 |
+
2023-07-12 17:26:20,726 - INFO - [Train] step: 3299, loss_D: 0.054510, lr_D: 0.000800
|
| 79 |
+
2023-07-12 17:26:20,814 - INFO - [Train] step: 3299, loss_G: 4.930062, lr_G: 0.000800
|
| 80 |
+
2023-07-12 17:27:18,183 - INFO - [Train] step: 3399, loss_D: 0.034935, lr_D: 0.000800
|
| 81 |
+
2023-07-12 17:27:18,270 - INFO - [Train] step: 3399, loss_G: 3.990243, lr_G: 0.000800
|
| 82 |
+
2023-07-12 17:28:15,598 - INFO - [Train] step: 3499, loss_D: 0.030087, lr_D: 0.000800
|
| 83 |
+
2023-07-12 17:28:15,685 - INFO - [Train] step: 3499, loss_G: 4.579709, lr_G: 0.000800
|
| 84 |
+
2023-07-12 17:29:13,024 - INFO - [Train] step: 3599, loss_D: 0.038519, lr_D: 0.000800
|
| 85 |
+
2023-07-12 17:29:13,112 - INFO - [Train] step: 3599, loss_G: 4.418524, lr_G: 0.000800
|
| 86 |
+
2023-07-12 17:30:10,438 - INFO - [Train] step: 3699, loss_D: 0.057550, lr_D: 0.000800
|
| 87 |
+
2023-07-12 17:30:10,526 - INFO - [Train] step: 3699, loss_G: 4.605961, lr_G: 0.000800
|
| 88 |
+
2023-07-12 17:31:07,887 - INFO - [Train] step: 3799, loss_D: 0.041060, lr_D: 0.000800
|
| 89 |
+
2023-07-12 17:31:07,982 - INFO - [Train] step: 3799, loss_G: 4.834350, lr_G: 0.000800
|
| 90 |
+
2023-07-12 17:32:05,456 - INFO - [Train] step: 3899, loss_D: 0.042648, lr_D: 0.000800
|
| 91 |
+
2023-07-12 17:32:05,544 - INFO - [Train] step: 3899, loss_G: 5.262332, lr_G: 0.000800
|
| 92 |
+
2023-07-12 17:33:02,865 - INFO - [Train] step: 3999, loss_D: 1.264918, lr_D: 0.000800
|
| 93 |
+
2023-07-12 17:33:02,953 - INFO - [Train] step: 3999, loss_G: 4.694508, lr_G: 0.000800
|
| 94 |
+
2023-07-12 17:34:07,152 - INFO - [Eval] step: 3999, fid: 46.189030
|
| 95 |
+
2023-07-12 17:35:04,793 - INFO - [Train] step: 4099, loss_D: 0.003329, lr_D: 0.000800
|
| 96 |
+
2023-07-12 17:35:04,881 - INFO - [Train] step: 4099, loss_G: 7.554510, lr_G: 0.000800
|
| 97 |
+
2023-07-12 17:36:02,340 - INFO - [Train] step: 4199, loss_D: 0.040185, lr_D: 0.000800
|
| 98 |
+
2023-07-12 17:36:02,428 - INFO - [Train] step: 4199, loss_G: 3.475946, lr_G: 0.000800
|
| 99 |
+
2023-07-12 17:36:59,897 - INFO - [Train] step: 4299, loss_D: 0.027306, lr_D: 0.000800
|
| 100 |
+
2023-07-12 17:36:59,985 - INFO - [Train] step: 4299, loss_G: 5.402829, lr_G: 0.000800
|
| 101 |
+
2023-07-12 17:37:57,437 - INFO - [Train] step: 4399, loss_D: 0.051728, lr_D: 0.000800
|
| 102 |
+
2023-07-12 17:37:57,524 - INFO - [Train] step: 4399, loss_G: 3.607202, lr_G: 0.000800
|
| 103 |
+
2023-07-12 17:38:54,973 - INFO - [Train] step: 4499, loss_D: 0.056249, lr_D: 0.000800
|
| 104 |
+
2023-07-12 17:38:55,060 - INFO - [Train] step: 4499, loss_G: 3.384413, lr_G: 0.000800
|
| 105 |
+
2023-07-12 17:39:52,661 - INFO - [Train] step: 4599, loss_D: 0.007323, lr_D: 0.000800
|
| 106 |
+
2023-07-12 17:39:52,749 - INFO - [Train] step: 4599, loss_G: 6.453446, lr_G: 0.000800
|
| 107 |
+
2023-07-12 17:40:50,198 - INFO - [Train] step: 4699, loss_D: 0.024911, lr_D: 0.000800
|
| 108 |
+
2023-07-12 17:40:50,286 - INFO - [Train] step: 4699, loss_G: 5.086204, lr_G: 0.000800
|
| 109 |
+
2023-07-12 17:41:47,749 - INFO - [Train] step: 4799, loss_D: 0.014862, lr_D: 0.000800
|
| 110 |
+
2023-07-12 17:41:47,837 - INFO - [Train] step: 4799, loss_G: 5.229910, lr_G: 0.000800
|
| 111 |
+
2023-07-12 17:42:45,271 - INFO - [Train] step: 4899, loss_D: 0.031109, lr_D: 0.000800
|
| 112 |
+
2023-07-12 17:42:45,359 - INFO - [Train] step: 4899, loss_G: 5.116955, lr_G: 0.000800
|
| 113 |
+
2023-07-12 17:43:42,816 - INFO - [Train] step: 4999, loss_D: 0.065226, lr_D: 0.000800
|
| 114 |
+
2023-07-12 17:43:42,903 - INFO - [Train] step: 4999, loss_G: 5.112177, lr_G: 0.000800
|
| 115 |
+
2023-07-12 17:44:47,064 - INFO - [Eval] step: 4999, fid: 36.271797
|
| 116 |
+
2023-07-12 17:45:44,714 - INFO - [Train] step: 5099, loss_D: 0.020115, lr_D: 0.000800
|
| 117 |
+
2023-07-12 17:45:44,802 - INFO - [Train] step: 5099, loss_G: 5.193239, lr_G: 0.000800
|
| 118 |
+
2023-07-12 17:46:42,379 - INFO - [Train] step: 5199, loss_D: 0.347856, lr_D: 0.000800
|
| 119 |
+
2023-07-12 17:46:42,467 - INFO - [Train] step: 5199, loss_G: 1.892686, lr_G: 0.000800
|
| 120 |
+
2023-07-12 17:47:39,934 - INFO - [Train] step: 5299, loss_D: 0.058115, lr_D: 0.000800
|
| 121 |
+
2023-07-12 17:47:40,021 - INFO - [Train] step: 5299, loss_G: 4.653395, lr_G: 0.000800
|
| 122 |
+
2023-07-12 17:48:37,460 - INFO - [Train] step: 5399, loss_D: 0.077972, lr_D: 0.000800
|
| 123 |
+
2023-07-12 17:48:37,548 - INFO - [Train] step: 5399, loss_G: 3.208207, lr_G: 0.000800
|
| 124 |
+
2023-07-12 17:49:34,989 - INFO - [Train] step: 5499, loss_D: 2.887662, lr_D: 0.000800
|
| 125 |
+
2023-07-12 17:49:35,077 - INFO - [Train] step: 5499, loss_G: 8.952351, lr_G: 0.000800
|
| 126 |
+
2023-07-12 17:50:32,512 - INFO - [Train] step: 5599, loss_D: 0.035710, lr_D: 0.000800
|
| 127 |
+
2023-07-12 17:50:32,599 - INFO - [Train] step: 5599, loss_G: 5.363744, lr_G: 0.000800
|
| 128 |
+
2023-07-12 17:51:30,067 - INFO - [Train] step: 5699, loss_D: 0.025094, lr_D: 0.000800
|
| 129 |
+
2023-07-12 17:51:30,156 - INFO - [Train] step: 5699, loss_G: 5.028629, lr_G: 0.000800
|
| 130 |
+
2023-07-12 17:52:27,609 - INFO - [Train] step: 5799, loss_D: 0.067504, lr_D: 0.000800
|
| 131 |
+
2023-07-12 17:52:27,697 - INFO - [Train] step: 5799, loss_G: 5.370408, lr_G: 0.000800
|
| 132 |
+
2023-07-12 17:53:25,291 - INFO - [Train] step: 5899, loss_D: 0.039531, lr_D: 0.000800
|
| 133 |
+
2023-07-12 17:53:25,379 - INFO - [Train] step: 5899, loss_G: 4.985330, lr_G: 0.000800
|
| 134 |
+
2023-07-12 17:54:22,840 - INFO - [Train] step: 5999, loss_D: 0.115845, lr_D: 0.000800
|
| 135 |
+
2023-07-12 17:54:22,928 - INFO - [Train] step: 5999, loss_G: 4.274446, lr_G: 0.000800
|
| 136 |
+
2023-07-12 17:55:27,145 - INFO - [Eval] step: 5999, fid: 34.028760
|
| 137 |
+
2023-07-12 17:56:24,688 - INFO - [Train] step: 6099, loss_D: 0.033611, lr_D: 0.000800
|
| 138 |
+
2023-07-12 17:56:24,776 - INFO - [Train] step: 6099, loss_G: 4.980865, lr_G: 0.000800
|
| 139 |
+
2023-07-12 17:57:22,224 - INFO - [Train] step: 6199, loss_D: 0.048325, lr_D: 0.000800
|
| 140 |
+
2023-07-12 17:57:22,312 - INFO - [Train] step: 6199, loss_G: 5.303787, lr_G: 0.000800
|
| 141 |
+
2023-07-12 17:58:19,786 - INFO - [Train] step: 6299, loss_D: 0.041649, lr_D: 0.000800
|
| 142 |
+
2023-07-12 17:58:19,873 - INFO - [Train] step: 6299, loss_G: 5.620918, lr_G: 0.000800
|
| 143 |
+
2023-07-12 17:59:17,344 - INFO - [Train] step: 6399, loss_D: 0.023680, lr_D: 0.000800
|
| 144 |
+
2023-07-12 17:59:17,431 - INFO - [Train] step: 6399, loss_G: 5.616631, lr_G: 0.000800
|
| 145 |
+
2023-07-12 18:00:15,025 - INFO - [Train] step: 6499, loss_D: 0.036628, lr_D: 0.000800
|
| 146 |
+
2023-07-12 18:00:15,113 - INFO - [Train] step: 6499, loss_G: 5.512962, lr_G: 0.000800
|
| 147 |
+
2023-07-12 18:01:12,577 - INFO - [Train] step: 6599, loss_D: 0.023097, lr_D: 0.000800
|
| 148 |
+
2023-07-12 18:01:12,664 - INFO - [Train] step: 6599, loss_G: 5.855290, lr_G: 0.000800
|
| 149 |
+
2023-07-12 18:02:10,133 - INFO - [Train] step: 6699, loss_D: 0.028405, lr_D: 0.000800
|
| 150 |
+
2023-07-12 18:02:10,221 - INFO - [Train] step: 6699, loss_G: 5.488470, lr_G: 0.000800
|
| 151 |
+
2023-07-12 18:03:07,679 - INFO - [Train] step: 6799, loss_D: 0.021471, lr_D: 0.000800
|
| 152 |
+
2023-07-12 18:03:07,767 - INFO - [Train] step: 6799, loss_G: 5.797908, lr_G: 0.000800
|
| 153 |
+
2023-07-12 18:04:05,218 - INFO - [Train] step: 6899, loss_D: 0.058845, lr_D: 0.000800
|
| 154 |
+
2023-07-12 18:04:05,306 - INFO - [Train] step: 6899, loss_G: 5.064159, lr_G: 0.000800
|
| 155 |
+
2023-07-12 18:05:02,742 - INFO - [Train] step: 6999, loss_D: 0.020497, lr_D: 0.000800
|
| 156 |
+
2023-07-12 18:05:02,830 - INFO - [Train] step: 6999, loss_G: 5.523105, lr_G: 0.000800
|
| 157 |
+
2023-07-12 18:06:06,988 - INFO - [Eval] step: 6999, fid: 32.576500
|
| 158 |
+
2023-07-12 18:07:04,593 - INFO - [Train] step: 7099, loss_D: 0.032421, lr_D: 0.000800
|
| 159 |
+
2023-07-12 18:07:04,681 - INFO - [Train] step: 7099, loss_G: 5.685035, lr_G: 0.000800
|
| 160 |
+
2023-07-12 18:08:02,316 - INFO - [Train] step: 7199, loss_D: 0.031736, lr_D: 0.000800
|
| 161 |
+
2023-07-12 18:08:02,404 - INFO - [Train] step: 7199, loss_G: 5.395480, lr_G: 0.000800
|
| 162 |
+
2023-07-12 18:08:59,916 - INFO - [Train] step: 7299, loss_D: 0.024387, lr_D: 0.000800
|
| 163 |
+
2023-07-12 18:09:00,004 - INFO - [Train] step: 7299, loss_G: 6.032953, lr_G: 0.000800
|
| 164 |
+
2023-07-12 18:09:57,523 - INFO - [Train] step: 7399, loss_D: 0.024259, lr_D: 0.000800
|
| 165 |
+
2023-07-12 18:09:57,611 - INFO - [Train] step: 7399, loss_G: 5.144004, lr_G: 0.000800
|
| 166 |
+
2023-07-12 18:10:55,097 - INFO - [Train] step: 7499, loss_D: 0.555654, lr_D: 0.000800
|
| 167 |
+
2023-07-12 18:10:55,185 - INFO - [Train] step: 7499, loss_G: 1.863510, lr_G: 0.000800
|
| 168 |
+
2023-07-12 18:11:52,686 - INFO - [Train] step: 7599, loss_D: 0.034270, lr_D: 0.000800
|
| 169 |
+
2023-07-12 18:11:52,774 - INFO - [Train] step: 7599, loss_G: 5.184028, lr_G: 0.000800
|
| 170 |
+
2023-07-12 18:12:50,269 - INFO - [Train] step: 7699, loss_D: 0.039935, lr_D: 0.000800
|
| 171 |
+
2023-07-12 18:12:50,356 - INFO - [Train] step: 7699, loss_G: 5.671440, lr_G: 0.000800
|
| 172 |
+
2023-07-12 18:13:47,983 - INFO - [Train] step: 7799, loss_D: 0.038383, lr_D: 0.000800
|
| 173 |
+
2023-07-12 18:13:48,071 - INFO - [Train] step: 7799, loss_G: 5.034060, lr_G: 0.000800
|
| 174 |
+
2023-07-12 18:14:45,546 - INFO - [Train] step: 7899, loss_D: 0.026917, lr_D: 0.000800
|
| 175 |
+
2023-07-12 18:14:45,634 - INFO - [Train] step: 7899, loss_G: 5.547049, lr_G: 0.000800
|
| 176 |
+
2023-07-12 18:15:43,134 - INFO - [Train] step: 7999, loss_D: 0.011145, lr_D: 0.000800
|
| 177 |
+
2023-07-12 18:15:43,222 - INFO - [Train] step: 7999, loss_G: 5.550413, lr_G: 0.000800
|
| 178 |
+
2023-07-12 18:16:47,438 - INFO - [Eval] step: 7999, fid: 32.241777
|
| 179 |
+
2023-07-12 18:17:45,032 - INFO - [Train] step: 8099, loss_D: 0.014564, lr_D: 0.000800
|
| 180 |
+
2023-07-12 18:17:45,120 - INFO - [Train] step: 8099, loss_G: 5.964281, lr_G: 0.000800
|
| 181 |
+
2023-07-12 18:18:42,639 - INFO - [Train] step: 8199, loss_D: 0.000684, lr_D: 0.000800
|
| 182 |
+
2023-07-12 18:18:42,726 - INFO - [Train] step: 8199, loss_G: 8.837653, lr_G: 0.000800
|
| 183 |
+
2023-07-12 18:19:40,235 - INFO - [Train] step: 8299, loss_D: 0.017238, lr_D: 0.000800
|
| 184 |
+
2023-07-12 18:19:40,322 - INFO - [Train] step: 8299, loss_G: 5.495771, lr_G: 0.000800
|
| 185 |
+
2023-07-12 18:20:37,807 - INFO - [Train] step: 8399, loss_D: 0.011962, lr_D: 0.000800
|
| 186 |
+
2023-07-12 18:20:37,894 - INFO - [Train] step: 8399, loss_G: 6.880361, lr_G: 0.000800
|
| 187 |
+
2023-07-12 18:21:35,525 - INFO - [Train] step: 8499, loss_D: 0.030142, lr_D: 0.000800
|
| 188 |
+
2023-07-12 18:21:35,612 - INFO - [Train] step: 8499, loss_G: 5.224750, lr_G: 0.000800
|
| 189 |
+
2023-07-12 18:22:33,112 - INFO - [Train] step: 8599, loss_D: 0.023434, lr_D: 0.000800
|
| 190 |
+
2023-07-12 18:22:33,199 - INFO - [Train] step: 8599, loss_G: 5.050735, lr_G: 0.000800
|
| 191 |
+
2023-07-12 18:23:30,680 - INFO - [Train] step: 8699, loss_D: 0.013734, lr_D: 0.000800
|
| 192 |
+
2023-07-12 18:23:30,768 - INFO - [Train] step: 8699, loss_G: 5.922662, lr_G: 0.000800
|
| 193 |
+
2023-07-12 18:24:28,246 - INFO - [Train] step: 8799, loss_D: 0.010626, lr_D: 0.000800
|
| 194 |
+
2023-07-12 18:24:28,334 - INFO - [Train] step: 8799, loss_G: 6.543083, lr_G: 0.000800
|
| 195 |
+
2023-07-12 18:25:25,846 - INFO - [Train] step: 8899, loss_D: 0.029900, lr_D: 0.000800
|
| 196 |
+
2023-07-12 18:25:25,934 - INFO - [Train] step: 8899, loss_G: 5.696473, lr_G: 0.000800
|
| 197 |
+
2023-07-12 18:26:23,424 - INFO - [Train] step: 8999, loss_D: 0.126051, lr_D: 0.000800
|
| 198 |
+
2023-07-12 18:26:23,512 - INFO - [Train] step: 8999, loss_G: 4.001851, lr_G: 0.000800
|
| 199 |
+
2023-07-12 18:27:27,684 - INFO - [Eval] step: 8999, fid: 28.227711
|
| 200 |
+
2023-07-12 18:28:25,482 - INFO - [Train] step: 9099, loss_D: 0.109626, lr_D: 0.000800
|
| 201 |
+
2023-07-12 18:28:25,570 - INFO - [Train] step: 9099, loss_G: 5.276723, lr_G: 0.000800
|
| 202 |
+
2023-07-12 18:29:23,076 - INFO - [Train] step: 9199, loss_D: 0.228694, lr_D: 0.000800
|
| 203 |
+
2023-07-12 18:29:23,164 - INFO - [Train] step: 9199, loss_G: 3.498900, lr_G: 0.000800
|
| 204 |
+
2023-07-12 18:30:20,680 - INFO - [Train] step: 9299, loss_D: 0.020664, lr_D: 0.000800
|
| 205 |
+
2023-07-12 18:30:20,768 - INFO - [Train] step: 9299, loss_G: 5.587677, lr_G: 0.000800
|
| 206 |
+
2023-07-12 18:31:18,286 - INFO - [Train] step: 9399, loss_D: 0.012350, lr_D: 0.000800
|
| 207 |
+
2023-07-12 18:31:18,373 - INFO - [Train] step: 9399, loss_G: 6.273077, lr_G: 0.000800
|
| 208 |
+
2023-07-12 18:32:15,891 - INFO - [Train] step: 9499, loss_D: 0.001696, lr_D: 0.000800
|
| 209 |
+
2023-07-12 18:32:15,979 - INFO - [Train] step: 9499, loss_G: 8.534375, lr_G: 0.000800
|
| 210 |
+
2023-07-12 18:33:13,486 - INFO - [Train] step: 9599, loss_D: 3.387591, lr_D: 0.000800
|
| 211 |
+
2023-07-12 18:33:13,574 - INFO - [Train] step: 9599, loss_G: 2.096522, lr_G: 0.000800
|
| 212 |
+
2023-07-12 18:34:11,097 - INFO - [Train] step: 9699, loss_D: 0.020986, lr_D: 0.000800
|
| 213 |
+
2023-07-12 18:34:11,184 - INFO - [Train] step: 9699, loss_G: 5.463163, lr_G: 0.000800
|
| 214 |
+
2023-07-12 18:35:08,811 - INFO - [Train] step: 9799, loss_D: 0.015239, lr_D: 0.000800
|
| 215 |
+
2023-07-12 18:35:08,899 - INFO - [Train] step: 9799, loss_G: 6.112862, lr_G: 0.000800
|
| 216 |
+
2023-07-12 18:36:06,406 - INFO - [Train] step: 9899, loss_D: 0.005519, lr_D: 0.000800
|
| 217 |
+
2023-07-12 18:36:06,494 - INFO - [Train] step: 9899, loss_G: 8.183928, lr_G: 0.000800
|
| 218 |
+
2023-07-12 18:37:03,990 - INFO - [Train] step: 9999, loss_D: 0.030426, lr_D: 0.000800
|
| 219 |
+
2023-07-12 18:37:04,078 - INFO - [Train] step: 9999, loss_G: 5.927347, lr_G: 0.000800
|
| 220 |
+
2023-07-12 18:38:08,210 - INFO - [Eval] step: 9999, fid: 30.084231
|
| 221 |
+
2023-07-12 18:39:05,700 - INFO - [Train] step: 10099, loss_D: 0.013930, lr_D: 0.000800
|
| 222 |
+
2023-07-12 18:39:05,788 - INFO - [Train] step: 10099, loss_G: 6.193681, lr_G: 0.000800
|
| 223 |
+
2023-07-12 18:40:03,300 - INFO - [Train] step: 10199, loss_D: 0.012470, lr_D: 0.000800
|
| 224 |
+
2023-07-12 18:40:03,388 - INFO - [Train] step: 10199, loss_G: 7.306033, lr_G: 0.000800
|
| 225 |
+
2023-07-12 18:41:00,907 - INFO - [Train] step: 10299, loss_D: 0.061986, lr_D: 0.000800
|
| 226 |
+
2023-07-12 18:41:00,995 - INFO - [Train] step: 10299, loss_G: 4.621758, lr_G: 0.000800
|
| 227 |
+
2023-07-12 18:41:58,658 - INFO - [Train] step: 10399, loss_D: 0.016806, lr_D: 0.000800
|
| 228 |
+
2023-07-12 18:41:58,746 - INFO - [Train] step: 10399, loss_G: 6.250135, lr_G: 0.000800
|
| 229 |
+
2023-07-12 18:42:56,249 - INFO - [Train] step: 10499, loss_D: 0.001286, lr_D: 0.000800
|
| 230 |
+
2023-07-12 18:42:56,337 - INFO - [Train] step: 10499, loss_G: 8.661914, lr_G: 0.000800
|
| 231 |
+
2023-07-12 18:43:53,823 - INFO - [Train] step: 10599, loss_D: 0.000602, lr_D: 0.000800
|
| 232 |
+
2023-07-12 18:43:53,911 - INFO - [Train] step: 10599, loss_G: 9.411369, lr_G: 0.000800
|
| 233 |
+
2023-07-12 18:44:51,413 - INFO - [Train] step: 10699, loss_D: 0.016039, lr_D: 0.000800
|
| 234 |
+
2023-07-12 18:44:51,501 - INFO - [Train] step: 10699, loss_G: 6.897484, lr_G: 0.000800
|
| 235 |
+
2023-07-12 18:45:49,004 - INFO - [Train] step: 10799, loss_D: 0.065530, lr_D: 0.000800
|
| 236 |
+
2023-07-12 18:45:49,092 - INFO - [Train] step: 10799, loss_G: 9.432408, lr_G: 0.000800
|
| 237 |
+
2023-07-12 18:46:46,585 - INFO - [Train] step: 10899, loss_D: 0.014672, lr_D: 0.000800
|
| 238 |
+
2023-07-12 18:46:46,673 - INFO - [Train] step: 10899, loss_G: 6.191032, lr_G: 0.000800
|
| 239 |
+
2023-07-12 18:47:44,316 - INFO - [Train] step: 10999, loss_D: 0.014719, lr_D: 0.000800
|
| 240 |
+
2023-07-12 18:47:44,404 - INFO - [Train] step: 10999, loss_G: 7.411528, lr_G: 0.000800
|
| 241 |
+
2023-07-12 18:48:48,592 - INFO - [Eval] step: 10999, fid: 29.694119
|
| 242 |
+
2023-07-12 18:49:45,827 - INFO - [Train] step: 11099, loss_D: 0.019559, lr_D: 0.000800
|
| 243 |
+
2023-07-12 18:49:45,915 - INFO - [Train] step: 11099, loss_G: 6.056180, lr_G: 0.000800
|
| 244 |
+
2023-07-12 18:50:43,301 - INFO - [Train] step: 11199, loss_D: 0.017542, lr_D: 0.000800
|
| 245 |
+
2023-07-12 18:50:43,389 - INFO - [Train] step: 11199, loss_G: 6.981877, lr_G: 0.000800
|
| 246 |
+
2023-07-12 18:51:40,805 - INFO - [Train] step: 11299, loss_D: 0.032792, lr_D: 0.000800
|
| 247 |
+
2023-07-12 18:51:40,893 - INFO - [Train] step: 11299, loss_G: 5.256979, lr_G: 0.000800
|
| 248 |
+
2023-07-12 18:52:38,305 - INFO - [Train] step: 11399, loss_D: 0.003058, lr_D: 0.000800
|
| 249 |
+
2023-07-12 18:52:38,393 - INFO - [Train] step: 11399, loss_G: 8.941432, lr_G: 0.000800
|
| 250 |
+
2023-07-12 18:53:35,801 - INFO - [Train] step: 11499, loss_D: 0.015946, lr_D: 0.000800
|
| 251 |
+
2023-07-12 18:53:35,889 - INFO - [Train] step: 11499, loss_G: 6.630933, lr_G: 0.000800
|
| 252 |
+
2023-07-12 18:54:33,283 - INFO - [Train] step: 11599, loss_D: 0.032323, lr_D: 0.000800
|
| 253 |
+
2023-07-12 18:54:33,370 - INFO - [Train] step: 11599, loss_G: 4.722200, lr_G: 0.000800
|
| 254 |
+
2023-07-12 18:55:30,897 - INFO - [Train] step: 11699, loss_D: 0.001752, lr_D: 0.000800
|
| 255 |
+
2023-07-12 18:55:30,984 - INFO - [Train] step: 11699, loss_G: 8.421609, lr_G: 0.000800
|
| 256 |
+
2023-07-12 18:56:28,360 - INFO - [Train] step: 11799, loss_D: 0.026858, lr_D: 0.000800
|
| 257 |
+
2023-07-12 18:56:28,448 - INFO - [Train] step: 11799, loss_G: 6.427086, lr_G: 0.000800
|
| 258 |
+
2023-07-12 18:57:25,831 - INFO - [Train] step: 11899, loss_D: 0.026251, lr_D: 0.000800
|
| 259 |
+
2023-07-12 18:57:25,919 - INFO - [Train] step: 11899, loss_G: 6.259496, lr_G: 0.000800
|
| 260 |
+
2023-07-12 18:58:23,311 - INFO - [Train] step: 11999, loss_D: 0.014363, lr_D: 0.000800
|
| 261 |
+
2023-07-12 18:58:23,399 - INFO - [Train] step: 11999, loss_G: 6.759715, lr_G: 0.000800
|
| 262 |
+
2023-07-12 18:59:27,592 - INFO - [Eval] step: 11999, fid: 29.804872
|
| 263 |
+
2023-07-12 19:00:24,880 - INFO - [Train] step: 12099, loss_D: 0.007211, lr_D: 0.000800
|
| 264 |
+
2023-07-12 19:00:24,968 - INFO - [Train] step: 12099, loss_G: 7.119853, lr_G: 0.000800
|
| 265 |
+
2023-07-12 19:01:22,522 - INFO - [Train] step: 12199, loss_D: 0.030018, lr_D: 0.000800
|
| 266 |
+
2023-07-12 19:01:22,610 - INFO - [Train] step: 12199, loss_G: 6.445191, lr_G: 0.000800
|
| 267 |
+
2023-07-12 19:02:20,282 - INFO - [Train] step: 12299, loss_D: 0.015362, lr_D: 0.000800
|
| 268 |
+
2023-07-12 19:02:20,370 - INFO - [Train] step: 12299, loss_G: 7.062533, lr_G: 0.000800
|
| 269 |
+
2023-07-12 19:03:17,900 - INFO - [Train] step: 12399, loss_D: 0.091250, lr_D: 0.000800
|
| 270 |
+
2023-07-12 19:03:17,988 - INFO - [Train] step: 12399, loss_G: 5.277500, lr_G: 0.000800
|
| 271 |
+
2023-07-12 19:04:15,503 - INFO - [Train] step: 12499, loss_D: 0.014617, lr_D: 0.000800
|
| 272 |
+
2023-07-12 19:04:15,592 - INFO - [Train] step: 12499, loss_G: 6.756591, lr_G: 0.000800
|
| 273 |
+
2023-07-12 19:05:13,100 - INFO - [Train] step: 12599, loss_D: 0.167268, lr_D: 0.000800
|
| 274 |
+
2023-07-12 19:05:13,188 - INFO - [Train] step: 12599, loss_G: 4.781672, lr_G: 0.000800
|
| 275 |
+
2023-07-12 19:06:10,715 - INFO - [Train] step: 12699, loss_D: 0.008438, lr_D: 0.000800
|
| 276 |
+
2023-07-12 19:06:10,802 - INFO - [Train] step: 12699, loss_G: 7.567505, lr_G: 0.000800
|
| 277 |
+
2023-07-12 19:07:08,327 - INFO - [Train] step: 12799, loss_D: 0.007369, lr_D: 0.000800
|
| 278 |
+
2023-07-12 19:07:08,415 - INFO - [Train] step: 12799, loss_G: 6.749778, lr_G: 0.000800
|
| 279 |
+
2023-07-12 19:08:05,975 - INFO - [Train] step: 12899, loss_D: 0.000751, lr_D: 0.000800
|
| 280 |
+
2023-07-12 19:08:06,063 - INFO - [Train] step: 12899, loss_G: 9.670005, lr_G: 0.000800
|
| 281 |
+
2023-07-12 19:09:03,725 - INFO - [Train] step: 12999, loss_D: 0.012068, lr_D: 0.000800
|
| 282 |
+
2023-07-12 19:09:03,813 - INFO - [Train] step: 12999, loss_G: 7.449256, lr_G: 0.000800
|
| 283 |
+
2023-07-12 19:10:08,014 - INFO - [Eval] step: 12999, fid: 27.870969
|
| 284 |
+
2023-07-12 19:11:05,663 - INFO - [Train] step: 13099, loss_D: 0.191236, lr_D: 0.000800
|
| 285 |
+
2023-07-12 19:11:05,751 - INFO - [Train] step: 13099, loss_G: 4.029625, lr_G: 0.000800
|
| 286 |
+
2023-07-12 19:12:03,278 - INFO - [Train] step: 13199, loss_D: 0.021085, lr_D: 0.000800
|
| 287 |
+
2023-07-12 19:12:03,366 - INFO - [Train] step: 13199, loss_G: 7.048948, lr_G: 0.000800
|
| 288 |
+
2023-07-12 19:13:00,899 - INFO - [Train] step: 13299, loss_D: 0.010232, lr_D: 0.000800
|
| 289 |
+
2023-07-12 19:13:00,987 - INFO - [Train] step: 13299, loss_G: 7.128829, lr_G: 0.000800
|
| 290 |
+
2023-07-12 19:13:58,538 - INFO - [Train] step: 13399, loss_D: 0.025881, lr_D: 0.000800
|
| 291 |
+
2023-07-12 19:13:58,626 - INFO - [Train] step: 13399, loss_G: 6.640596, lr_G: 0.000800
|
| 292 |
+
2023-07-12 19:14:56,132 - INFO - [Train] step: 13499, loss_D: 0.008684, lr_D: 0.000800
|
| 293 |
+
2023-07-12 19:14:56,220 - INFO - [Train] step: 13499, loss_G: 7.248220, lr_G: 0.000800
|
| 294 |
+
2023-07-12 19:15:53,867 - INFO - [Train] step: 13599, loss_D: 0.013442, lr_D: 0.000800
|
| 295 |
+
2023-07-12 19:15:53,955 - INFO - [Train] step: 13599, loss_G: 7.150399, lr_G: 0.000800
|
| 296 |
+
2023-07-12 19:16:51,476 - INFO - [Train] step: 13699, loss_D: 0.092759, lr_D: 0.000800
|
| 297 |
+
2023-07-12 19:16:51,563 - INFO - [Train] step: 13699, loss_G: 5.712218, lr_G: 0.000800
|
| 298 |
+
2023-07-12 19:17:49,082 - INFO - [Train] step: 13799, loss_D: 0.010183, lr_D: 0.000800
|
| 299 |
+
2023-07-12 19:17:49,170 - INFO - [Train] step: 13799, loss_G: 6.829955, lr_G: 0.000800
|
| 300 |
+
2023-07-12 19:18:46,688 - INFO - [Train] step: 13899, loss_D: 0.006534, lr_D: 0.000800
|
| 301 |
+
2023-07-12 19:18:46,775 - INFO - [Train] step: 13899, loss_G: 7.313403, lr_G: 0.000800
|
| 302 |
+
2023-07-12 19:19:44,267 - INFO - [Train] step: 13999, loss_D: 0.008968, lr_D: 0.000800
|
| 303 |
+
2023-07-12 19:19:44,356 - INFO - [Train] step: 13999, loss_G: 7.097583, lr_G: 0.000800
|
| 304 |
+
2023-07-12 19:20:48,545 - INFO - [Eval] step: 13999, fid: 29.171430
|
| 305 |
+
2023-07-12 19:21:45,877 - INFO - [Train] step: 14099, loss_D: 0.154992, lr_D: 0.000800
|
| 306 |
+
2023-07-12 19:21:45,965 - INFO - [Train] step: 14099, loss_G: 4.506565, lr_G: 0.000800
|
| 307 |
+
2023-07-12 19:22:43,480 - INFO - [Train] step: 14199, loss_D: 0.006306, lr_D: 0.000800
|
| 308 |
+
2023-07-12 19:22:43,567 - INFO - [Train] step: 14199, loss_G: 7.778669, lr_G: 0.000800
|
| 309 |
+
2023-07-12 19:23:41,233 - INFO - [Train] step: 14299, loss_D: 0.033244, lr_D: 0.000800
|
| 310 |
+
2023-07-12 19:23:41,321 - INFO - [Train] step: 14299, loss_G: 6.365058, lr_G: 0.000800
|
| 311 |
+
2023-07-12 19:24:38,846 - INFO - [Train] step: 14399, loss_D: 0.011858, lr_D: 0.000800
|
| 312 |
+
2023-07-12 19:24:38,934 - INFO - [Train] step: 14399, loss_G: 7.772148, lr_G: 0.000800
|
| 313 |
+
2023-07-12 19:25:36,447 - INFO - [Train] step: 14499, loss_D: 0.000651, lr_D: 0.000800
|
| 314 |
+
2023-07-12 19:25:36,535 - INFO - [Train] step: 14499, loss_G: 12.251223, lr_G: 0.000800
|
| 315 |
+
2023-07-12 19:26:34,071 - INFO - [Train] step: 14599, loss_D: 0.020187, lr_D: 0.000800
|
| 316 |
+
2023-07-12 19:26:34,158 - INFO - [Train] step: 14599, loss_G: 7.172268, lr_G: 0.000800
|
| 317 |
+
2023-07-12 19:27:31,670 - INFO - [Train] step: 14699, loss_D: 0.008557, lr_D: 0.000800
|
| 318 |
+
2023-07-12 19:27:31,758 - INFO - [Train] step: 14699, loss_G: 6.713667, lr_G: 0.000800
|
| 319 |
+
2023-07-12 19:28:29,268 - INFO - [Train] step: 14799, loss_D: 0.004455, lr_D: 0.000800
|
| 320 |
+
2023-07-12 19:28:29,356 - INFO - [Train] step: 14799, loss_G: 8.290122, lr_G: 0.000800
|
| 321 |
+
2023-07-12 19:29:27,002 - INFO - [Train] step: 14899, loss_D: 0.148839, lr_D: 0.000800
|
| 322 |
+
2023-07-12 19:29:27,090 - INFO - [Train] step: 14899, loss_G: 4.583262, lr_G: 0.000800
|
| 323 |
+
2023-07-12 19:30:24,606 - INFO - [Train] step: 14999, loss_D: 0.001947, lr_D: 0.000800
|
| 324 |
+
2023-07-12 19:30:24,694 - INFO - [Train] step: 14999, loss_G: 9.636635, lr_G: 0.000800
|
| 325 |
+
2023-07-12 19:31:28,905 - INFO - [Eval] step: 14999, fid: 31.329617
|
| 326 |
+
2023-07-12 19:32:26,223 - INFO - [Train] step: 15099, loss_D: 0.008853, lr_D: 0.000800
|
| 327 |
+
2023-07-12 19:32:26,311 - INFO - [Train] step: 15099, loss_G: 8.022595, lr_G: 0.000800
|
| 328 |
+
2023-07-12 19:33:23,839 - INFO - [Train] step: 15199, loss_D: 0.006613, lr_D: 0.000800
|
| 329 |
+
2023-07-12 19:33:23,926 - INFO - [Train] step: 15199, loss_G: 8.065881, lr_G: 0.000800
|
| 330 |
+
2023-07-12 19:34:21,453 - INFO - [Train] step: 15299, loss_D: 0.009662, lr_D: 0.000800
|
| 331 |
+
2023-07-12 19:34:21,541 - INFO - [Train] step: 15299, loss_G: 7.805553, lr_G: 0.000800
|
| 332 |
+
2023-07-12 19:35:19,088 - INFO - [Train] step: 15399, loss_D: 0.006433, lr_D: 0.000800
|
| 333 |
+
2023-07-12 19:35:19,176 - INFO - [Train] step: 15399, loss_G: 7.157223, lr_G: 0.000800
|
| 334 |
+
2023-07-12 19:36:16,726 - INFO - [Train] step: 15499, loss_D: 0.020738, lr_D: 0.000800
|
| 335 |
+
2023-07-12 19:36:16,813 - INFO - [Train] step: 15499, loss_G: 7.369261, lr_G: 0.000800
|
| 336 |
+
2023-07-12 19:37:14,483 - INFO - [Train] step: 15599, loss_D: 0.007516, lr_D: 0.000800
|
| 337 |
+
2023-07-12 19:37:14,571 - INFO - [Train] step: 15599, loss_G: 8.355461, lr_G: 0.000800
|
| 338 |
+
2023-07-12 19:38:12,087 - INFO - [Train] step: 15699, loss_D: 0.006930, lr_D: 0.000800
|
| 339 |
+
2023-07-12 19:38:12,175 - INFO - [Train] step: 15699, loss_G: 8.547059, lr_G: 0.000800
|
| 340 |
+
2023-07-12 19:39:09,721 - INFO - [Train] step: 15799, loss_D: 0.007758, lr_D: 0.000800
|
| 341 |
+
2023-07-12 19:39:09,808 - INFO - [Train] step: 15799, loss_G: 7.711467, lr_G: 0.000800
|
| 342 |
+
2023-07-12 19:40:07,335 - INFO - [Train] step: 15899, loss_D: 0.668111, lr_D: 0.000800
|
| 343 |
+
2023-07-12 19:40:07,423 - INFO - [Train] step: 15899, loss_G: 1.805636, lr_G: 0.000800
|
| 344 |
+
2023-07-12 19:41:04,937 - INFO - [Train] step: 15999, loss_D: 0.014439, lr_D: 0.000800
|
| 345 |
+
2023-07-12 19:41:05,025 - INFO - [Train] step: 15999, loss_G: 7.707753, lr_G: 0.000800
|
| 346 |
+
2023-07-12 19:42:09,224 - INFO - [Eval] step: 15999, fid: 27.496213
|
| 347 |
+
2023-07-12 19:43:06,872 - INFO - [Train] step: 16099, loss_D: 0.004317, lr_D: 0.000800
|
| 348 |
+
2023-07-12 19:43:06,959 - INFO - [Train] step: 16099, loss_G: 7.620277, lr_G: 0.000800
|
| 349 |
+
2023-07-12 19:44:04,589 - INFO - [Train] step: 16199, loss_D: 0.002995, lr_D: 0.000800
|
| 350 |
+
2023-07-12 19:44:04,677 - INFO - [Train] step: 16199, loss_G: 10.655226, lr_G: 0.000800
|
| 351 |
+
2023-07-12 19:45:02,175 - INFO - [Train] step: 16299, loss_D: 0.015546, lr_D: 0.000800
|
| 352 |
+
2023-07-12 19:45:02,262 - INFO - [Train] step: 16299, loss_G: 8.730984, lr_G: 0.000800
|
| 353 |
+
2023-07-12 19:45:59,769 - INFO - [Train] step: 16399, loss_D: 0.004836, lr_D: 0.000800
|
| 354 |
+
2023-07-12 19:45:59,857 - INFO - [Train] step: 16399, loss_G: 8.217114, lr_G: 0.000800
|
| 355 |
+
2023-07-12 19:46:57,375 - INFO - [Train] step: 16499, loss_D: 0.018905, lr_D: 0.000800
|
| 356 |
+
2023-07-12 19:46:57,463 - INFO - [Train] step: 16499, loss_G: 7.328541, lr_G: 0.000800
|
| 357 |
+
2023-07-12 19:47:54,961 - INFO - [Train] step: 16599, loss_D: 0.004462, lr_D: 0.000800
|
| 358 |
+
2023-07-12 19:47:55,049 - INFO - [Train] step: 16599, loss_G: 8.639082, lr_G: 0.000800
|
| 359 |
+
2023-07-12 19:48:52,557 - INFO - [Train] step: 16699, loss_D: 0.003930, lr_D: 0.000800
|
| 360 |
+
2023-07-12 19:48:52,645 - INFO - [Train] step: 16699, loss_G: 8.739486, lr_G: 0.000800
|
| 361 |
+
2023-07-12 19:49:50,114 - INFO - [Train] step: 16799, loss_D: 0.624540, lr_D: 0.000800
|
| 362 |
+
2023-07-12 19:49:50,201 - INFO - [Train] step: 16799, loss_G: 2.562969, lr_G: 0.000800
|
| 363 |
+
2023-07-12 19:50:47,821 - INFO - [Train] step: 16899, loss_D: 0.007945, lr_D: 0.000800
|
| 364 |
+
2023-07-12 19:50:47,908 - INFO - [Train] step: 16899, loss_G: 8.452702, lr_G: 0.000800
|
| 365 |
+
2023-07-12 19:51:45,397 - INFO - [Train] step: 16999, loss_D: 0.006168, lr_D: 0.000800
|
| 366 |
+
2023-07-12 19:51:45,485 - INFO - [Train] step: 16999, loss_G: 7.918242, lr_G: 0.000800
|
| 367 |
+
2023-07-12 19:52:49,625 - INFO - [Eval] step: 16999, fid: 29.205224
|
| 368 |
+
2023-07-12 19:53:46,966 - INFO - [Train] step: 17099, loss_D: 0.003305, lr_D: 0.000800
|
| 369 |
+
2023-07-12 19:53:47,053 - INFO - [Train] step: 17099, loss_G: 8.687705, lr_G: 0.000800
|
| 370 |
+
2023-07-12 19:54:44,570 - INFO - [Train] step: 17199, loss_D: 0.251634, lr_D: 0.000800
|
| 371 |
+
2023-07-12 19:54:44,658 - INFO - [Train] step: 17199, loss_G: 4.278350, lr_G: 0.000800
|
| 372 |
+
2023-07-12 19:55:42,146 - INFO - [Train] step: 17299, loss_D: 0.012229, lr_D: 0.000800
|
| 373 |
+
2023-07-12 19:55:42,234 - INFO - [Train] step: 17299, loss_G: 8.460243, lr_G: 0.000800
|
| 374 |
+
2023-07-12 19:56:39,727 - INFO - [Train] step: 17399, loss_D: 0.004488, lr_D: 0.000800
|
| 375 |
+
2023-07-12 19:56:39,815 - INFO - [Train] step: 17399, loss_G: 8.270636, lr_G: 0.000800
|
| 376 |
+
2023-07-12 19:57:37,438 - INFO - [Train] step: 17499, loss_D: 0.002650, lr_D: 0.000800
|
| 377 |
+
2023-07-12 19:57:37,526 - INFO - [Train] step: 17499, loss_G: 8.917006, lr_G: 0.000800
|
| 378 |
+
2023-07-12 19:58:35,022 - INFO - [Train] step: 17599, loss_D: 0.064571, lr_D: 0.000800
|
| 379 |
+
2023-07-12 19:58:35,110 - INFO - [Train] step: 17599, loss_G: 6.797041, lr_G: 0.000800
|
| 380 |
+
2023-07-12 19:59:32,589 - INFO - [Train] step: 17699, loss_D: 0.020608, lr_D: 0.000800
|
| 381 |
+
2023-07-12 19:59:32,677 - INFO - [Train] step: 17699, loss_G: 7.263035, lr_G: 0.000800
|
| 382 |
+
2023-07-12 20:00:30,166 - INFO - [Train] step: 17799, loss_D: 0.004761, lr_D: 0.000800
|
| 383 |
+
2023-07-12 20:00:30,254 - INFO - [Train] step: 17799, loss_G: 8.363796, lr_G: 0.000800
|
| 384 |
+
2023-07-12 20:01:27,742 - INFO - [Train] step: 17899, loss_D: 0.003941, lr_D: 0.000800
|
| 385 |
+
2023-07-12 20:01:27,830 - INFO - [Train] step: 17899, loss_G: 8.821142, lr_G: 0.000800
|
| 386 |
+
2023-07-12 20:02:25,322 - INFO - [Train] step: 17999, loss_D: 0.127479, lr_D: 0.000800
|
| 387 |
+
2023-07-12 20:02:25,409 - INFO - [Train] step: 17999, loss_G: 5.232607, lr_G: 0.000800
|
| 388 |
+
2023-07-12 20:03:29,705 - INFO - [Eval] step: 17999, fid: 25.614563
|
| 389 |
+
2023-07-12 20:04:27,432 - INFO - [Train] step: 18099, loss_D: 0.009604, lr_D: 0.000800
|
| 390 |
+
2023-07-12 20:04:27,519 - INFO - [Train] step: 18099, loss_G: 7.408797, lr_G: 0.000800
|
| 391 |
+
2023-07-12 20:05:25,146 - INFO - [Train] step: 18199, loss_D: 0.005565, lr_D: 0.000800
|
| 392 |
+
2023-07-12 20:05:25,234 - INFO - [Train] step: 18199, loss_G: 8.682463, lr_G: 0.000800
|
| 393 |
+
2023-07-12 20:06:22,728 - INFO - [Train] step: 18299, loss_D: 0.000129, lr_D: 0.000800
|
| 394 |
+
2023-07-12 20:06:22,816 - INFO - [Train] step: 18299, loss_G: 14.515563, lr_G: 0.000800
|
| 395 |
+
2023-07-12 20:07:20,316 - INFO - [Train] step: 18399, loss_D: 0.092455, lr_D: 0.000800
|
| 396 |
+
2023-07-12 20:07:20,404 - INFO - [Train] step: 18399, loss_G: 6.524065, lr_G: 0.000800
|
| 397 |
+
2023-07-12 20:08:17,898 - INFO - [Train] step: 18499, loss_D: 0.013248, lr_D: 0.000800
|
| 398 |
+
2023-07-12 20:08:17,985 - INFO - [Train] step: 18499, loss_G: 8.964443, lr_G: 0.000800
|
| 399 |
+
2023-07-12 20:09:15,495 - INFO - [Train] step: 18599, loss_D: 0.006180, lr_D: 0.000800
|
| 400 |
+
2023-07-12 20:09:15,583 - INFO - [Train] step: 18599, loss_G: 8.387197, lr_G: 0.000800
|
| 401 |
+
2023-07-12 20:10:13,068 - INFO - [Train] step: 18699, loss_D: 0.349644, lr_D: 0.000800
|
| 402 |
+
2023-07-12 20:10:13,155 - INFO - [Train] step: 18699, loss_G: 2.922549, lr_G: 0.000800
|
| 403 |
+
2023-07-12 20:11:10,775 - INFO - [Train] step: 18799, loss_D: 0.015498, lr_D: 0.000800
|
| 404 |
+
2023-07-12 20:11:10,863 - INFO - [Train] step: 18799, loss_G: 8.309088, lr_G: 0.000800
|
| 405 |
+
2023-07-12 20:12:08,354 - INFO - [Train] step: 18899, loss_D: 0.005159, lr_D: 0.000800
|
| 406 |
+
2023-07-12 20:12:08,442 - INFO - [Train] step: 18899, loss_G: 7.997553, lr_G: 0.000800
|
| 407 |
+
2023-07-12 20:13:05,912 - INFO - [Train] step: 18999, loss_D: 0.003083, lr_D: 0.000800
|
| 408 |
+
2023-07-12 20:13:06,000 - INFO - [Train] step: 18999, loss_G: 8.636139, lr_G: 0.000800
|
| 409 |
+
2023-07-12 20:14:10,174 - INFO - [Eval] step: 18999, fid: 31.495495
|
| 410 |
+
2023-07-12 20:15:07,530 - INFO - [Train] step: 19099, loss_D: 0.196236, lr_D: 0.000800
|
| 411 |
+
2023-07-12 20:15:07,618 - INFO - [Train] step: 19099, loss_G: 4.485887, lr_G: 0.000800
|
| 412 |
+
2023-07-12 20:16:05,132 - INFO - [Train] step: 19199, loss_D: 0.000892, lr_D: 0.000800
|
| 413 |
+
2023-07-12 20:16:05,220 - INFO - [Train] step: 19199, loss_G: 11.486435, lr_G: 0.000800
|
| 414 |
+
2023-07-12 20:17:02,755 - INFO - [Train] step: 19299, loss_D: 0.011981, lr_D: 0.000800
|
| 415 |
+
2023-07-12 20:17:02,843 - INFO - [Train] step: 19299, loss_G: 8.722584, lr_G: 0.000800
|
| 416 |
+
2023-07-12 20:18:00,385 - INFO - [Train] step: 19399, loss_D: 0.001844, lr_D: 0.000800
|
| 417 |
+
2023-07-12 20:18:00,473 - INFO - [Train] step: 19399, loss_G: 9.310270, lr_G: 0.000800
|
| 418 |
+
2023-07-12 20:18:58,131 - INFO - [Train] step: 19499, loss_D: 0.120050, lr_D: 0.000800
|
| 419 |
+
2023-07-12 20:18:58,219 - INFO - [Train] step: 19499, loss_G: 5.309950, lr_G: 0.000800
|
| 420 |
+
2023-07-12 20:19:55,751 - INFO - [Train] step: 19599, loss_D: 0.008602, lr_D: 0.000800
|
| 421 |
+
2023-07-12 20:19:55,839 - INFO - [Train] step: 19599, loss_G: 8.204571, lr_G: 0.000800
|
| 422 |
+
2023-07-12 20:20:53,350 - INFO - [Train] step: 19699, loss_D: 0.002973, lr_D: 0.000800
|
| 423 |
+
2023-07-12 20:20:53,438 - INFO - [Train] step: 19699, loss_G: 9.221530, lr_G: 0.000800
|
| 424 |
+
2023-07-12 20:21:50,960 - INFO - [Train] step: 19799, loss_D: 0.000326, lr_D: 0.000800
|
| 425 |
+
2023-07-12 20:21:51,048 - INFO - [Train] step: 19799, loss_G: 11.997440, lr_G: 0.000800
|
| 426 |
+
2023-07-12 20:22:48,578 - INFO - [Train] step: 19899, loss_D: 0.037789, lr_D: 0.000800
|
| 427 |
+
2023-07-12 20:22:48,666 - INFO - [Train] step: 19899, loss_G: 8.102247, lr_G: 0.000800
|
| 428 |
+
2023-07-12 20:23:46,169 - INFO - [Train] step: 19999, loss_D: 0.082576, lr_D: 0.000800
|
| 429 |
+
2023-07-12 20:23:46,257 - INFO - [Train] step: 19999, loss_G: 5.310421, lr_G: 0.000800
|
| 430 |
+
2023-07-12 20:24:50,370 - INFO - [Eval] step: 19999, fid: 25.273269
|
| 431 |
+
2023-07-12 20:25:48,365 - INFO - [Train] step: 20099, loss_D: 0.006555, lr_D: 0.000800
|
| 432 |
+
2023-07-12 20:25:48,453 - INFO - [Train] step: 20099, loss_G: 8.638845, lr_G: 0.000800
|
| 433 |
+
2023-07-12 20:26:45,987 - INFO - [Train] step: 20199, loss_D: 0.009030, lr_D: 0.000800
|
| 434 |
+
2023-07-12 20:26:46,075 - INFO - [Train] step: 20199, loss_G: 9.081997, lr_G: 0.000800
|
| 435 |
+
2023-07-12 20:27:43,613 - INFO - [Train] step: 20299, loss_D: 0.003769, lr_D: 0.000800
|
| 436 |
+
2023-07-12 20:27:43,701 - INFO - [Train] step: 20299, loss_G: 9.091711, lr_G: 0.000800
|
| 437 |
+
2023-07-12 20:28:41,239 - INFO - [Train] step: 20399, loss_D: 0.029936, lr_D: 0.000800
|
| 438 |
+
2023-07-12 20:28:41,327 - INFO - [Train] step: 20399, loss_G: 7.126809, lr_G: 0.000800
|
| 439 |
+
2023-07-12 20:29:38,849 - INFO - [Train] step: 20499, loss_D: 0.006551, lr_D: 0.000800
|
| 440 |
+
2023-07-12 20:29:38,936 - INFO - [Train] step: 20499, loss_G: 8.915304, lr_G: 0.000800
|
| 441 |
+
2023-07-12 20:30:36,466 - INFO - [Train] step: 20599, loss_D: 0.004902, lr_D: 0.000800
|
| 442 |
+
2023-07-12 20:30:36,554 - INFO - [Train] step: 20599, loss_G: 8.482403, lr_G: 0.000800
|
| 443 |
+
2023-07-12 20:31:34,227 - INFO - [Train] step: 20699, loss_D: 0.002523, lr_D: 0.000800
|
| 444 |
+
2023-07-12 20:31:34,315 - INFO - [Train] step: 20699, loss_G: 9.256380, lr_G: 0.000800
|
| 445 |
+
2023-07-12 20:32:31,834 - INFO - [Train] step: 20799, loss_D: 0.032943, lr_D: 0.000800
|
| 446 |
+
2023-07-12 20:32:31,922 - INFO - [Train] step: 20799, loss_G: 7.857731, lr_G: 0.000800
|
| 447 |
+
2023-07-12 20:33:29,450 - INFO - [Train] step: 20899, loss_D: 0.003886, lr_D: 0.000800
|
| 448 |
+
2023-07-12 20:33:29,538 - INFO - [Train] step: 20899, loss_G: 9.247038, lr_G: 0.000800
|
| 449 |
+
2023-07-12 20:34:27,067 - INFO - [Train] step: 20999, loss_D: 0.002908, lr_D: 0.000800
|
| 450 |
+
2023-07-12 20:34:27,155 - INFO - [Train] step: 20999, loss_G: 8.331944, lr_G: 0.000800
|
| 451 |
+
2023-07-12 20:35:31,345 - INFO - [Eval] step: 20999, fid: 30.028896
|
| 452 |
+
2023-07-12 20:36:28,638 - INFO - [Train] step: 21099, loss_D: 0.002126, lr_D: 0.000800
|
| 453 |
+
2023-07-12 20:36:28,726 - INFO - [Train] step: 21099, loss_G: 9.205379, lr_G: 0.000800
|
| 454 |
+
2023-07-12 20:37:26,289 - INFO - [Train] step: 21199, loss_D: 0.149846, lr_D: 0.000800
|
| 455 |
+
2023-07-12 20:37:26,377 - INFO - [Train] step: 21199, loss_G: 4.221058, lr_G: 0.000800
|
| 456 |
+
2023-07-12 20:38:23,908 - INFO - [Train] step: 21299, loss_D: 0.003761, lr_D: 0.000800
|
| 457 |
+
2023-07-12 20:38:23,995 - INFO - [Train] step: 21299, loss_G: 9.138874, lr_G: 0.000800
|
| 458 |
+
2023-07-12 20:39:21,655 - INFO - [Train] step: 21399, loss_D: 0.002520, lr_D: 0.000800
|
| 459 |
+
2023-07-12 20:39:21,743 - INFO - [Train] step: 21399, loss_G: 10.075739, lr_G: 0.000800
|
| 460 |
+
2023-07-12 20:40:19,279 - INFO - [Train] step: 21499, loss_D: 0.018885, lr_D: 0.000800
|
| 461 |
+
2023-07-12 20:40:19,367 - INFO - [Train] step: 21499, loss_G: 8.425512, lr_G: 0.000800
|
| 462 |
+
2023-07-12 20:41:16,895 - INFO - [Train] step: 21599, loss_D: 0.006437, lr_D: 0.000800
|
| 463 |
+
2023-07-12 20:41:16,983 - INFO - [Train] step: 21599, loss_G: 9.219998, lr_G: 0.000800
|
| 464 |
+
2023-07-12 20:42:14,524 - INFO - [Train] step: 21699, loss_D: 0.003460, lr_D: 0.000800
|
| 465 |
+
2023-07-12 20:42:14,612 - INFO - [Train] step: 21699, loss_G: 9.281570, lr_G: 0.000800
|
| 466 |
+
2023-07-12 20:43:12,136 - INFO - [Train] step: 21799, loss_D: 0.358669, lr_D: 0.000800
|
| 467 |
+
2023-07-12 20:43:12,224 - INFO - [Train] step: 21799, loss_G: 3.485884, lr_G: 0.000800
|
| 468 |
+
2023-07-12 20:44:09,745 - INFO - [Train] step: 21899, loss_D: 0.011900, lr_D: 0.000800
|
| 469 |
+
2023-07-12 20:44:09,833 - INFO - [Train] step: 21899, loss_G: 7.709840, lr_G: 0.000800
|
| 470 |
+
2023-07-12 20:45:07,483 - INFO - [Train] step: 21999, loss_D: 0.003525, lr_D: 0.000800
|
| 471 |
+
2023-07-12 20:45:07,571 - INFO - [Train] step: 21999, loss_G: 9.405258, lr_G: 0.000800
|
| 472 |
+
2023-07-12 20:46:11,719 - INFO - [Eval] step: 21999, fid: 30.593891
|
| 473 |
+
2023-07-12 20:47:09,011 - INFO - [Train] step: 22099, loss_D: 0.001346, lr_D: 0.000800
|
| 474 |
+
2023-07-12 20:47:09,098 - INFO - [Train] step: 22099, loss_G: 10.648615, lr_G: 0.000800
|
| 475 |
+
2023-07-12 20:48:06,649 - INFO - [Train] step: 22199, loss_D: 0.028642, lr_D: 0.000800
|
| 476 |
+
2023-07-12 20:48:06,737 - INFO - [Train] step: 22199, loss_G: 7.590566, lr_G: 0.000800
|
| 477 |
+
2023-07-12 20:49:04,276 - INFO - [Train] step: 22299, loss_D: 0.000499, lr_D: 0.000800
|
| 478 |
+
2023-07-12 20:49:04,364 - INFO - [Train] step: 22299, loss_G: 11.025435, lr_G: 0.000800
|
| 479 |
+
2023-07-12 20:50:01,903 - INFO - [Train] step: 22399, loss_D: 0.033459, lr_D: 0.000800
|
| 480 |
+
2023-07-12 20:50:01,990 - INFO - [Train] step: 22399, loss_G: 7.106796, lr_G: 0.000800
|
| 481 |
+
2023-07-12 20:50:59,535 - INFO - [Train] step: 22499, loss_D: 0.009488, lr_D: 0.000800
|
| 482 |
+
2023-07-12 20:50:59,623 - INFO - [Train] step: 22499, loss_G: 9.747847, lr_G: 0.000800
|
| 483 |
+
2023-07-12 20:51:57,162 - INFO - [Train] step: 22599, loss_D: 0.002946, lr_D: 0.000800
|
| 484 |
+
2023-07-12 20:51:57,249 - INFO - [Train] step: 22599, loss_G: 8.806899, lr_G: 0.000800
|
| 485 |
+
2023-07-12 20:52:54,949 - INFO - [Train] step: 22699, loss_D: 0.002408, lr_D: 0.000800
|
| 486 |
+
2023-07-12 20:52:55,037 - INFO - [Train] step: 22699, loss_G: 9.545119, lr_G: 0.000800
|
| 487 |
+
2023-07-12 20:53:52,575 - INFO - [Train] step: 22799, loss_D: 0.119984, lr_D: 0.000800
|
| 488 |
+
2023-07-12 20:53:52,663 - INFO - [Train] step: 22799, loss_G: 5.494000, lr_G: 0.000800
|
| 489 |
+
2023-07-12 20:54:50,182 - INFO - [Train] step: 22899, loss_D: 0.004186, lr_D: 0.000800
|
| 490 |
+
2023-07-12 20:54:50,270 - INFO - [Train] step: 22899, loss_G: 9.423959, lr_G: 0.000800
|
| 491 |
+
2023-07-12 20:55:47,789 - INFO - [Train] step: 22999, loss_D: 0.006070, lr_D: 0.000800
|
| 492 |
+
2023-07-12 20:55:47,877 - INFO - [Train] step: 22999, loss_G: 9.565794, lr_G: 0.000800
|
| 493 |
+
2023-07-12 20:56:51,991 - INFO - [Eval] step: 22999, fid: 31.954991
|
| 494 |
+
2023-07-12 20:57:49,242 - INFO - [Train] step: 23099, loss_D: 0.002778, lr_D: 0.000800
|
| 495 |
+
2023-07-12 20:57:49,330 - INFO - [Train] step: 23099, loss_G: 9.118521, lr_G: 0.000800
|
| 496 |
+
2023-07-12 20:58:46,773 - INFO - [Train] step: 23199, loss_D: 0.034686, lr_D: 0.000800
|
| 497 |
+
2023-07-12 20:58:46,860 - INFO - [Train] step: 23199, loss_G: 7.610370, lr_G: 0.000800
|
| 498 |
+
2023-07-12 20:59:44,451 - INFO - [Train] step: 23299, loss_D: 0.006708, lr_D: 0.000800
|
| 499 |
+
2023-07-12 20:59:44,539 - INFO - [Train] step: 23299, loss_G: 8.725147, lr_G: 0.000800
|
| 500 |
+
2023-07-12 21:00:41,966 - INFO - [Train] step: 23399, loss_D: 0.040776, lr_D: 0.000800
|
| 501 |
+
2023-07-12 21:00:42,053 - INFO - [Train] step: 23399, loss_G: 7.141646, lr_G: 0.000800
|
| 502 |
+
2023-07-12 21:01:39,496 - INFO - [Train] step: 23499, loss_D: 0.004511, lr_D: 0.000800
|
| 503 |
+
2023-07-12 21:01:39,584 - INFO - [Train] step: 23499, loss_G: 8.720704, lr_G: 0.000800
|
| 504 |
+
2023-07-12 21:02:37,007 - INFO - [Train] step: 23599, loss_D: 0.004814, lr_D: 0.000800
|
| 505 |
+
2023-07-12 21:02:37,095 - INFO - [Train] step: 23599, loss_G: 9.989141, lr_G: 0.000800
|
| 506 |
+
2023-07-12 21:03:34,586 - INFO - [Train] step: 23699, loss_D: 0.066452, lr_D: 0.000800
|
| 507 |
+
2023-07-12 21:03:34,674 - INFO - [Train] step: 23699, loss_G: 6.562090, lr_G: 0.000800
|
| 508 |
+
2023-07-12 21:04:32,124 - INFO - [Train] step: 23799, loss_D: 0.003175, lr_D: 0.000800
|
| 509 |
+
2023-07-12 21:04:32,212 - INFO - [Train] step: 23799, loss_G: 8.416210, lr_G: 0.000800
|
| 510 |
+
2023-07-12 21:05:29,651 - INFO - [Train] step: 23899, loss_D: 0.001774, lr_D: 0.000800
|
| 511 |
+
2023-07-12 21:05:29,739 - INFO - [Train] step: 23899, loss_G: 9.443905, lr_G: 0.000800
|
| 512 |
+
2023-07-12 21:06:27,332 - INFO - [Train] step: 23999, loss_D: 0.002429, lr_D: 0.000800
|
| 513 |
+
2023-07-12 21:06:27,420 - INFO - [Train] step: 23999, loss_G: 10.313082, lr_G: 0.000800
|
| 514 |
+
2023-07-12 21:07:31,607 - INFO - [Eval] step: 23999, fid: 30.087386
|
| 515 |
+
2023-07-12 21:08:28,836 - INFO - [Train] step: 24099, loss_D: 0.056333, lr_D: 0.000800
|
| 516 |
+
2023-07-12 21:08:28,924 - INFO - [Train] step: 24099, loss_G: 7.034041, lr_G: 0.000800
|
| 517 |
+
2023-07-12 21:09:26,365 - INFO - [Train] step: 24199, loss_D: 0.002856, lr_D: 0.000800
|
| 518 |
+
2023-07-12 21:09:26,452 - INFO - [Train] step: 24199, loss_G: 9.530584, lr_G: 0.000800
|
| 519 |
+
2023-07-12 21:10:23,885 - INFO - [Train] step: 24299, loss_D: 0.002775, lr_D: 0.000800
|
| 520 |
+
2023-07-12 21:10:23,973 - INFO - [Train] step: 24299, loss_G: 9.159224, lr_G: 0.000800
|
| 521 |
+
2023-07-12 21:11:21,421 - INFO - [Train] step: 24399, loss_D: 0.004340, lr_D: 0.000800
|
| 522 |
+
2023-07-12 21:11:21,509 - INFO - [Train] step: 24399, loss_G: 9.501318, lr_G: 0.000800
|
| 523 |
+
2023-07-12 21:12:18,943 - INFO - [Train] step: 24499, loss_D: 0.090740, lr_D: 0.000800
|
| 524 |
+
2023-07-12 21:12:19,031 - INFO - [Train] step: 24499, loss_G: 6.190283, lr_G: 0.000800
|
| 525 |
+
2023-07-12 21:13:16,616 - INFO - [Train] step: 24599, loss_D: 0.284641, lr_D: 0.000800
|
| 526 |
+
2023-07-12 21:13:16,703 - INFO - [Train] step: 24599, loss_G: 4.444631, lr_G: 0.000800
|
| 527 |
+
2023-07-12 21:14:14,129 - INFO - [Train] step: 24699, loss_D: 0.005125, lr_D: 0.000800
|
| 528 |
+
2023-07-12 21:14:14,217 - INFO - [Train] step: 24699, loss_G: 8.887693, lr_G: 0.000800
|
| 529 |
+
2023-07-12 21:15:11,637 - INFO - [Train] step: 24799, loss_D: 0.001778, lr_D: 0.000800
|
| 530 |
+
2023-07-12 21:15:11,725 - INFO - [Train] step: 24799, loss_G: 10.052690, lr_G: 0.000800
|
| 531 |
+
2023-07-12 21:16:09,147 - INFO - [Train] step: 24899, loss_D: 0.003375, lr_D: 0.000800
|
| 532 |
+
2023-07-12 21:16:09,235 - INFO - [Train] step: 24899, loss_G: 9.332700, lr_G: 0.000800
|
| 533 |
+
2023-07-12 21:17:06,630 - INFO - [Train] step: 24999, loss_D: 0.090686, lr_D: 0.000800
|
| 534 |
+
2023-07-12 21:17:06,717 - INFO - [Train] step: 24999, loss_G: 6.137249, lr_G: 0.000800
|
| 535 |
+
2023-07-12 21:18:10,925 - INFO - [Eval] step: 24999, fid: 29.141241
|
| 536 |
+
2023-07-12 21:19:08,154 - INFO - [Train] step: 25099, loss_D: 0.007973, lr_D: 0.000800
|
| 537 |
+
2023-07-12 21:19:08,242 - INFO - [Train] step: 25099, loss_G: 9.243431, lr_G: 0.000800
|
| 538 |
+
2023-07-12 21:20:05,675 - INFO - [Train] step: 25199, loss_D: 0.002208, lr_D: 0.000800
|
| 539 |
+
2023-07-12 21:20:05,762 - INFO - [Train] step: 25199, loss_G: 10.213819, lr_G: 0.000800
|
| 540 |
+
2023-07-12 21:21:03,343 - INFO - [Train] step: 25299, loss_D: 0.001321, lr_D: 0.000800
|
| 541 |
+
2023-07-12 21:21:03,431 - INFO - [Train] step: 25299, loss_G: 9.658791, lr_G: 0.000800
|
| 542 |
+
2023-07-12 21:22:00,869 - INFO - [Train] step: 25399, loss_D: 0.061258, lr_D: 0.000800
|
| 543 |
+
2023-07-12 21:22:00,957 - INFO - [Train] step: 25399, loss_G: 9.202701, lr_G: 0.000800
|
| 544 |
+
2023-07-12 21:22:58,385 - INFO - [Train] step: 25499, loss_D: 0.004342, lr_D: 0.000800
|
| 545 |
+
2023-07-12 21:22:58,474 - INFO - [Train] step: 25499, loss_G: 9.858047, lr_G: 0.000800
|
| 546 |
+
2023-07-12 21:23:55,882 - INFO - [Train] step: 25599, loss_D: 0.005552, lr_D: 0.000800
|
| 547 |
+
2023-07-12 21:23:55,970 - INFO - [Train] step: 25599, loss_G: 9.966296, lr_G: 0.000800
|
| 548 |
+
2023-07-12 21:24:53,403 - INFO - [Train] step: 25699, loss_D: 0.001028, lr_D: 0.000800
|
| 549 |
+
2023-07-12 21:24:53,491 - INFO - [Train] step: 25699, loss_G: 12.139588, lr_G: 0.000800
|
| 550 |
+
2023-07-12 21:25:50,933 - INFO - [Train] step: 25799, loss_D: 0.017251, lr_D: 0.000800
|
| 551 |
+
2023-07-12 21:25:51,020 - INFO - [Train] step: 25799, loss_G: 9.335152, lr_G: 0.000800
|
| 552 |
+
2023-07-12 21:26:48,612 - INFO - [Train] step: 25899, loss_D: 0.004782, lr_D: 0.000800
|
| 553 |
+
2023-07-12 21:26:48,701 - INFO - [Train] step: 25899, loss_G: 9.611577, lr_G: 0.000800
|
| 554 |
+
2023-07-12 21:27:46,132 - INFO - [Train] step: 25999, loss_D: 0.001584, lr_D: 0.000800
|
| 555 |
+
2023-07-12 21:27:46,220 - INFO - [Train] step: 25999, loss_G: 10.825005, lr_G: 0.000800
|
| 556 |
+
2023-07-12 21:28:50,455 - INFO - [Eval] step: 25999, fid: 31.382735
|
| 557 |
+
2023-07-12 21:29:47,738 - INFO - [Train] step: 26099, loss_D: 0.018527, lr_D: 0.000800
|
| 558 |
+
2023-07-12 21:29:47,825 - INFO - [Train] step: 26099, loss_G: 7.776439, lr_G: 0.000800
|
| 559 |
+
2023-07-12 21:30:45,270 - INFO - [Train] step: 26199, loss_D: 0.004127, lr_D: 0.000800
|
| 560 |
+
2023-07-12 21:30:45,357 - INFO - [Train] step: 26199, loss_G: 10.917329, lr_G: 0.000800
|
| 561 |
+
2023-07-12 21:31:42,808 - INFO - [Train] step: 26299, loss_D: 0.003236, lr_D: 0.000800
|
| 562 |
+
2023-07-12 21:31:42,897 - INFO - [Train] step: 26299, loss_G: 9.382841, lr_G: 0.000800
|
| 563 |
+
2023-07-12 21:32:40,345 - INFO - [Train] step: 26399, loss_D: 0.001694, lr_D: 0.000800
|
| 564 |
+
2023-07-12 21:32:40,433 - INFO - [Train] step: 26399, loss_G: 10.693460, lr_G: 0.000800
|
| 565 |
+
2023-07-12 21:33:37,883 - INFO - [Train] step: 26499, loss_D: 0.012227, lr_D: 0.000800
|
| 566 |
+
2023-07-12 21:33:37,971 - INFO - [Train] step: 26499, loss_G: 8.775512, lr_G: 0.000800
|
| 567 |
+
2023-07-12 21:34:35,571 - INFO - [Train] step: 26599, loss_D: 0.006952, lr_D: 0.000800
|
| 568 |
+
2023-07-12 21:34:35,659 - INFO - [Train] step: 26599, loss_G: 9.833460, lr_G: 0.000800
|
| 569 |
+
2023-07-12 21:35:33,158 - INFO - [Train] step: 26699, loss_D: 0.004025, lr_D: 0.000800
|
| 570 |
+
2023-07-12 21:35:33,246 - INFO - [Train] step: 26699, loss_G: 10.285404, lr_G: 0.000800
|
| 571 |
+
2023-07-12 21:36:30,686 - INFO - [Train] step: 26799, loss_D: 0.016425, lr_D: 0.000800
|
| 572 |
+
2023-07-12 21:36:30,773 - INFO - [Train] step: 26799, loss_G: 8.288247, lr_G: 0.000800
|
| 573 |
+
2023-07-12 21:37:28,201 - INFO - [Train] step: 26899, loss_D: 0.008729, lr_D: 0.000800
|
| 574 |
+
2023-07-12 21:37:28,289 - INFO - [Train] step: 26899, loss_G: 9.647539, lr_G: 0.000800
|
| 575 |
+
2023-07-12 21:38:25,707 - INFO - [Train] step: 26999, loss_D: 0.003342, lr_D: 0.000800
|
| 576 |
+
2023-07-12 21:38:25,795 - INFO - [Train] step: 26999, loss_G: 10.802924, lr_G: 0.000800
|
| 577 |
+
2023-07-12 21:39:29,941 - INFO - [Eval] step: 26999, fid: 33.825623
|
| 578 |
+
2023-07-12 21:40:27,234 - INFO - [Train] step: 27099, loss_D: 0.274537, lr_D: 0.000800
|
| 579 |
+
2023-07-12 21:40:27,321 - INFO - [Train] step: 27099, loss_G: 4.335018, lr_G: 0.000800
|
| 580 |
+
2023-07-12 21:41:24,924 - INFO - [Train] step: 27199, loss_D: 0.007387, lr_D: 0.000800
|
| 581 |
+
2023-07-12 21:41:25,012 - INFO - [Train] step: 27199, loss_G: 9.896776, lr_G: 0.000800
|
| 582 |
+
2023-07-12 21:42:22,496 - INFO - [Train] step: 27299, loss_D: 0.001368, lr_D: 0.000800
|
| 583 |
+
2023-07-12 21:42:22,585 - INFO - [Train] step: 27299, loss_G: 10.709142, lr_G: 0.000800
|
| 584 |
+
2023-07-12 21:43:20,033 - INFO - [Train] step: 27399, loss_D: 0.000269, lr_D: 0.000800
|
| 585 |
+
2023-07-12 21:43:20,120 - INFO - [Train] step: 27399, loss_G: 11.924906, lr_G: 0.000800
|
| 586 |
+
2023-07-12 21:44:17,577 - INFO - [Train] step: 27499, loss_D: 0.030256, lr_D: 0.000800
|
| 587 |
+
2023-07-12 21:44:17,664 - INFO - [Train] step: 27499, loss_G: 7.979499, lr_G: 0.000800
|
| 588 |
+
2023-07-12 21:45:15,119 - INFO - [Train] step: 27599, loss_D: 0.006751, lr_D: 0.000800
|
| 589 |
+
2023-07-12 21:45:15,206 - INFO - [Train] step: 27599, loss_G: 9.640858, lr_G: 0.000800
|
| 590 |
+
2023-07-12 21:46:12,696 - INFO - [Train] step: 27699, loss_D: 0.001246, lr_D: 0.000800
|
| 591 |
+
2023-07-12 21:46:12,784 - INFO - [Train] step: 27699, loss_G: 10.003857, lr_G: 0.000800
|
| 592 |
+
2023-07-12 21:47:10,222 - INFO - [Train] step: 27799, loss_D: 0.255972, lr_D: 0.000800
|
| 593 |
+
2023-07-12 21:47:10,309 - INFO - [Train] step: 27799, loss_G: 4.942447, lr_G: 0.000800
|
| 594 |
+
2023-07-12 21:48:07,903 - INFO - [Train] step: 27899, loss_D: 0.009320, lr_D: 0.000800
|
| 595 |
+
2023-07-12 21:48:07,991 - INFO - [Train] step: 27899, loss_G: 9.027043, lr_G: 0.000800
|
| 596 |
+
2023-07-12 21:49:05,469 - INFO - [Train] step: 27999, loss_D: 0.002308, lr_D: 0.000800
|
| 597 |
+
2023-07-12 21:49:05,557 - INFO - [Train] step: 27999, loss_G: 9.631499, lr_G: 0.000800
|
| 598 |
+
2023-07-12 21:50:09,757 - INFO - [Eval] step: 27999, fid: 31.702556
|
| 599 |
+
2023-07-12 21:51:07,010 - INFO - [Train] step: 28099, loss_D: 0.003240, lr_D: 0.000800
|
| 600 |
+
2023-07-12 21:51:07,098 - INFO - [Train] step: 28099, loss_G: 10.972561, lr_G: 0.000800
|
| 601 |
+
2023-07-12 21:52:04,528 - INFO - [Train] step: 28199, loss_D: 0.000051, lr_D: 0.000800
|
| 602 |
+
2023-07-12 21:52:04,615 - INFO - [Train] step: 28199, loss_G: 15.420893, lr_G: 0.000800
|
| 603 |
+
2023-07-12 21:53:02,062 - INFO - [Train] step: 28299, loss_D: 0.070368, lr_D: 0.000800
|
| 604 |
+
2023-07-12 21:53:02,150 - INFO - [Train] step: 28299, loss_G: 5.961785, lr_G: 0.000800
|
| 605 |
+
2023-07-12 21:53:59,591 - INFO - [Train] step: 28399, loss_D: 0.007552, lr_D: 0.000800
|
| 606 |
+
2023-07-12 21:53:59,678 - INFO - [Train] step: 28399, loss_G: 10.017643, lr_G: 0.000800
|
| 607 |
+
2023-07-12 21:54:57,250 - INFO - [Train] step: 28499, loss_D: 0.004088, lr_D: 0.000800
|
| 608 |
+
2023-07-12 21:54:57,338 - INFO - [Train] step: 28499, loss_G: 11.113300, lr_G: 0.000800
|
| 609 |
+
2023-07-12 21:55:54,770 - INFO - [Train] step: 28599, loss_D: 0.013245, lr_D: 0.000800
|
| 610 |
+
2023-07-12 21:55:54,857 - INFO - [Train] step: 28599, loss_G: 11.390383, lr_G: 0.000800
|
| 611 |
+
2023-07-12 21:56:52,272 - INFO - [Train] step: 28699, loss_D: 0.007095, lr_D: 0.000800
|
| 612 |
+
2023-07-12 21:56:52,360 - INFO - [Train] step: 28699, loss_G: 9.659991, lr_G: 0.000800
|
| 613 |
+
2023-07-12 21:57:49,809 - INFO - [Train] step: 28799, loss_D: 0.003698, lr_D: 0.000800
|
| 614 |
+
2023-07-12 21:57:49,897 - INFO - [Train] step: 28799, loss_G: 10.763487, lr_G: 0.000800
|
| 615 |
+
2023-07-12 21:58:47,345 - INFO - [Train] step: 28899, loss_D: 0.006696, lr_D: 0.000800
|
| 616 |
+
2023-07-12 21:58:47,433 - INFO - [Train] step: 28899, loss_G: 9.704466, lr_G: 0.000800
|
| 617 |
+
2023-07-12 21:59:44,869 - INFO - [Train] step: 28999, loss_D: 0.271052, lr_D: 0.000800
|
| 618 |
+
2023-07-12 21:59:44,957 - INFO - [Train] step: 28999, loss_G: 4.130814, lr_G: 0.000800
|
| 619 |
+
2023-07-12 22:00:49,138 - INFO - [Eval] step: 28999, fid: 28.163407
|
| 620 |
+
2023-07-12 22:01:46,409 - INFO - [Train] step: 29099, loss_D: 0.003764, lr_D: 0.000800
|
| 621 |
+
2023-07-12 22:01:46,496 - INFO - [Train] step: 29099, loss_G: 10.126225, lr_G: 0.000800
|
| 622 |
+
2023-07-12 22:02:44,098 - INFO - [Train] step: 29199, loss_D: 0.001515, lr_D: 0.000800
|
| 623 |
+
2023-07-12 22:02:44,185 - INFO - [Train] step: 29199, loss_G: 10.568647, lr_G: 0.000800
|
| 624 |
+
2023-07-12 22:03:41,616 - INFO - [Train] step: 29299, loss_D: 0.003810, lr_D: 0.000800
|
| 625 |
+
2023-07-12 22:03:41,703 - INFO - [Train] step: 29299, loss_G: 10.424676, lr_G: 0.000800
|
| 626 |
+
2023-07-12 22:04:39,150 - INFO - [Train] step: 29399, loss_D: 0.039448, lr_D: 0.000800
|
| 627 |
+
2023-07-12 22:04:39,238 - INFO - [Train] step: 29399, loss_G: 7.600483, lr_G: 0.000800
|
| 628 |
+
2023-07-12 22:05:36,654 - INFO - [Train] step: 29499, loss_D: 0.004987, lr_D: 0.000800
|
| 629 |
+
2023-07-12 22:05:36,742 - INFO - [Train] step: 29499, loss_G: 10.001286, lr_G: 0.000800
|
| 630 |
+
2023-07-12 22:06:34,216 - INFO - [Train] step: 29599, loss_D: 0.001375, lr_D: 0.000800
|
| 631 |
+
2023-07-12 22:06:34,303 - INFO - [Train] step: 29599, loss_G: 11.971235, lr_G: 0.000800
|
| 632 |
+
2023-07-12 22:07:31,757 - INFO - [Train] step: 29699, loss_D: 0.008408, lr_D: 0.000800
|
| 633 |
+
2023-07-12 22:07:31,844 - INFO - [Train] step: 29699, loss_G: 10.731680, lr_G: 0.000800
|
| 634 |
+
2023-07-12 22:08:29,442 - INFO - [Train] step: 29799, loss_D: 0.011289, lr_D: 0.000800
|
| 635 |
+
2023-07-12 22:08:29,530 - INFO - [Train] step: 29799, loss_G: 9.489864, lr_G: 0.000800
|
| 636 |
+
2023-07-12 22:09:26,981 - INFO - [Train] step: 29899, loss_D: 0.004255, lr_D: 0.000800
|
| 637 |
+
2023-07-12 22:09:27,069 - INFO - [Train] step: 29899, loss_G: 10.597130, lr_G: 0.000800
|
| 638 |
+
2023-07-12 22:10:24,524 - INFO - [Train] step: 29999, loss_D: 0.006684, lr_D: 0.000800
|
| 639 |
+
2023-07-12 22:10:24,611 - INFO - [Train] step: 29999, loss_G: 10.497586, lr_G: 0.000800
|
| 640 |
+
2023-07-12 22:11:28,863 - INFO - [Eval] step: 29999, fid: 32.671274
|
| 641 |
+
2023-07-12 22:12:26,338 - INFO - [Train] step: 30099, loss_D: 0.053281, lr_D: 0.000800
|
| 642 |
+
2023-07-12 22:12:26,426 - INFO - [Train] step: 30099, loss_G: 7.095622, lr_G: 0.000800
|
| 643 |
+
2023-07-12 22:13:23,873 - INFO - [Train] step: 30199, loss_D: 0.001930, lr_D: 0.000800
|
| 644 |
+
2023-07-12 22:13:23,960 - INFO - [Train] step: 30199, loss_G: 10.507368, lr_G: 0.000800
|
| 645 |
+
2023-07-12 22:14:21,395 - INFO - [Train] step: 30299, loss_D: 0.000255, lr_D: 0.000800
|
| 646 |
+
2023-07-12 22:14:21,482 - INFO - [Train] step: 30299, loss_G: 12.630657, lr_G: 0.000800
|
| 647 |
+
2023-07-12 22:15:19,069 - INFO - [Train] step: 30399, loss_D: 0.007309, lr_D: 0.000800
|
| 648 |
+
2023-07-12 22:15:19,157 - INFO - [Train] step: 30399, loss_G: 10.190763, lr_G: 0.000800
|
| 649 |
+
2023-07-12 22:16:16,605 - INFO - [Train] step: 30499, loss_D: 0.001074, lr_D: 0.000800
|
| 650 |
+
2023-07-12 22:16:16,692 - INFO - [Train] step: 30499, loss_G: 10.938757, lr_G: 0.000800
|
| 651 |
+
2023-07-12 22:17:14,122 - INFO - [Train] step: 30599, loss_D: 0.001955, lr_D: 0.000800
|
| 652 |
+
2023-07-12 22:17:14,210 - INFO - [Train] step: 30599, loss_G: 11.106121, lr_G: 0.000800
|
| 653 |
+
2023-07-12 22:18:11,677 - INFO - [Train] step: 30699, loss_D: 0.220415, lr_D: 0.000800
|
| 654 |
+
2023-07-12 22:18:11,765 - INFO - [Train] step: 30699, loss_G: 4.759703, lr_G: 0.000800
|
| 655 |
+
2023-07-12 22:19:09,216 - INFO - [Train] step: 30799, loss_D: 0.003759, lr_D: 0.000800
|
| 656 |
+
2023-07-12 22:19:09,303 - INFO - [Train] step: 30799, loss_G: 9.949022, lr_G: 0.000800
|
| 657 |
+
2023-07-12 22:20:06,738 - INFO - [Train] step: 30899, loss_D: 0.002265, lr_D: 0.000800
|
| 658 |
+
2023-07-12 22:20:06,826 - INFO - [Train] step: 30899, loss_G: 11.118217, lr_G: 0.000800
|
| 659 |
+
2023-07-12 22:21:04,256 - INFO - [Train] step: 30999, loss_D: 0.003710, lr_D: 0.000800
|
| 660 |
+
2023-07-12 22:21:04,343 - INFO - [Train] step: 30999, loss_G: 10.478477, lr_G: 0.000800
|
| 661 |
+
2023-07-12 22:22:08,572 - INFO - [Eval] step: 30999, fid: 33.573450
|
| 662 |
+
2023-07-12 22:23:05,981 - INFO - [Train] step: 31099, loss_D: 0.175706, lr_D: 0.000800
|
| 663 |
+
2023-07-12 22:23:06,069 - INFO - [Train] step: 31099, loss_G: 5.722181, lr_G: 0.000800
|
| 664 |
+
2023-07-12 22:24:03,525 - INFO - [Train] step: 31199, loss_D: 0.005773, lr_D: 0.000800
|
| 665 |
+
2023-07-12 22:24:03,613 - INFO - [Train] step: 31199, loss_G: 9.832756, lr_G: 0.000800
|
| 666 |
+
2023-07-12 22:25:01,061 - INFO - [Train] step: 31299, loss_D: 0.001319, lr_D: 0.000800
|
| 667 |
+
2023-07-12 22:25:01,149 - INFO - [Train] step: 31299, loss_G: 11.099640, lr_G: 0.000800
|
| 668 |
+
2023-07-12 22:25:58,614 - INFO - [Train] step: 31399, loss_D: 0.008508, lr_D: 0.000800
|
| 669 |
+
2023-07-12 22:25:58,702 - INFO - [Train] step: 31399, loss_G: 11.431013, lr_G: 0.000800
|
| 670 |
+
2023-07-12 22:26:56,138 - INFO - [Train] step: 31499, loss_D: 0.026461, lr_D: 0.000800
|
| 671 |
+
2023-07-12 22:26:56,226 - INFO - [Train] step: 31499, loss_G: 8.374590, lr_G: 0.000800
|
| 672 |
+
2023-07-12 22:27:53,637 - INFO - [Train] step: 31599, loss_D: 0.002943, lr_D: 0.000800
|
| 673 |
+
2023-07-12 22:27:53,725 - INFO - [Train] step: 31599, loss_G: 10.384491, lr_G: 0.000800
|
| 674 |
+
2023-07-12 22:28:51,298 - INFO - [Train] step: 31699, loss_D: 0.001426, lr_D: 0.000800
|
| 675 |
+
2023-07-12 22:28:51,386 - INFO - [Train] step: 31699, loss_G: 11.429605, lr_G: 0.000800
|
| 676 |
+
2023-07-12 22:29:48,843 - INFO - [Train] step: 31799, loss_D: 0.003666, lr_D: 0.000800
|
| 677 |
+
2023-07-12 22:29:48,931 - INFO - [Train] step: 31799, loss_G: 11.365452, lr_G: 0.000800
|
| 678 |
+
2023-07-12 22:30:46,384 - INFO - [Train] step: 31899, loss_D: 0.008970, lr_D: 0.000800
|
| 679 |
+
2023-07-12 22:30:46,471 - INFO - [Train] step: 31899, loss_G: 10.068462, lr_G: 0.000800
|
| 680 |
+
2023-07-12 22:31:43,901 - INFO - [Train] step: 31999, loss_D: 0.010737, lr_D: 0.000800
|
| 681 |
+
2023-07-12 22:31:43,988 - INFO - [Train] step: 31999, loss_G: 9.883368, lr_G: 0.000800
|
| 682 |
+
2023-07-12 22:32:48,133 - INFO - [Eval] step: 31999, fid: 35.443428
|
| 683 |
+
2023-07-12 22:33:45,399 - INFO - [Train] step: 32099, loss_D: 0.006147, lr_D: 0.000800
|
| 684 |
+
2023-07-12 22:33:45,487 - INFO - [Train] step: 32099, loss_G: 10.407740, lr_G: 0.000800
|
| 685 |
+
2023-07-12 22:34:42,939 - INFO - [Train] step: 32199, loss_D: 0.019705, lr_D: 0.000800
|
| 686 |
+
2023-07-12 22:34:43,026 - INFO - [Train] step: 32199, loss_G: 9.505739, lr_G: 0.000800
|
| 687 |
+
2023-07-12 22:35:40,458 - INFO - [Train] step: 32299, loss_D: 0.003729, lr_D: 0.000800
|
| 688 |
+
2023-07-12 22:35:40,546 - INFO - [Train] step: 32299, loss_G: 12.261547, lr_G: 0.000800
|
| 689 |
+
2023-07-12 22:36:38,165 - INFO - [Train] step: 32399, loss_D: 0.001340, lr_D: 0.000800
|
| 690 |
+
2023-07-12 22:36:38,253 - INFO - [Train] step: 32399, loss_G: 12.019957, lr_G: 0.000800
|
| 691 |
+
2023-07-12 22:37:35,693 - INFO - [Train] step: 32499, loss_D: 0.035626, lr_D: 0.000800
|
| 692 |
+
2023-07-12 22:37:35,780 - INFO - [Train] step: 32499, loss_G: 8.075516, lr_G: 0.000800
|
| 693 |
+
2023-07-12 22:38:33,234 - INFO - [Train] step: 32599, loss_D: 0.005533, lr_D: 0.000800
|
| 694 |
+
2023-07-12 22:38:33,322 - INFO - [Train] step: 32599, loss_G: 10.814066, lr_G: 0.000800
|
| 695 |
+
2023-07-12 22:39:30,751 - INFO - [Train] step: 32699, loss_D: 0.003841, lr_D: 0.000800
|
| 696 |
+
2023-07-12 22:39:30,839 - INFO - [Train] step: 32699, loss_G: 10.745924, lr_G: 0.000800
|
| 697 |
+
2023-07-12 22:40:28,256 - INFO - [Train] step: 32799, loss_D: 0.000586, lr_D: 0.000800
|
| 698 |
+
2023-07-12 22:40:28,344 - INFO - [Train] step: 32799, loss_G: 13.178089, lr_G: 0.000800
|
| 699 |
+
2023-07-12 22:41:25,778 - INFO - [Train] step: 32899, loss_D: 0.014644, lr_D: 0.000800
|
| 700 |
+
2023-07-12 22:41:25,866 - INFO - [Train] step: 32899, loss_G: 11.053964, lr_G: 0.000800
|
| 701 |
+
2023-07-12 22:42:23,449 - INFO - [Train] step: 32999, loss_D: 0.005550, lr_D: 0.000800
|
| 702 |
+
2023-07-12 22:42:23,536 - INFO - [Train] step: 32999, loss_G: 10.551401, lr_G: 0.000800
|
| 703 |
+
2023-07-12 22:43:27,725 - INFO - [Eval] step: 32999, fid: 28.576473
|
| 704 |
+
2023-07-12 22:44:25,027 - INFO - [Train] step: 33099, loss_D: 0.001653, lr_D: 0.000800
|
| 705 |
+
2023-07-12 22:44:25,114 - INFO - [Train] step: 33099, loss_G: 11.080724, lr_G: 0.000800
|
| 706 |
+
2023-07-12 22:45:22,570 - INFO - [Train] step: 33199, loss_D: 0.002321, lr_D: 0.000800
|
| 707 |
+
2023-07-12 22:45:22,657 - INFO - [Train] step: 33199, loss_G: 9.947018, lr_G: 0.000800
|
| 708 |
+
2023-07-12 22:46:20,111 - INFO - [Train] step: 33299, loss_D: 0.003834, lr_D: 0.000800
|
| 709 |
+
2023-07-12 22:46:20,198 - INFO - [Train] step: 33299, loss_G: 10.804760, lr_G: 0.000800
|
| 710 |
+
2023-07-12 22:47:17,611 - INFO - [Train] step: 33399, loss_D: 0.014321, lr_D: 0.000800
|
| 711 |
+
2023-07-12 22:47:17,699 - INFO - [Train] step: 33399, loss_G: 11.016256, lr_G: 0.000800
|
| 712 |
+
2023-07-12 22:48:15,163 - INFO - [Train] step: 33499, loss_D: 0.004392, lr_D: 0.000800
|
| 713 |
+
2023-07-12 22:48:15,252 - INFO - [Train] step: 33499, loss_G: 11.169493, lr_G: 0.000800
|
| 714 |
+
2023-07-12 22:49:12,737 - INFO - [Train] step: 33599, loss_D: 0.011924, lr_D: 0.000800
|
| 715 |
+
2023-07-12 22:49:12,824 - INFO - [Train] step: 33599, loss_G: 9.494864, lr_G: 0.000800
|
| 716 |
+
2023-07-12 22:50:10,395 - INFO - [Train] step: 33699, loss_D: 0.003595, lr_D: 0.000800
|
| 717 |
+
2023-07-12 22:50:10,482 - INFO - [Train] step: 33699, loss_G: 11.242525, lr_G: 0.000800
|
| 718 |
+
2023-07-12 22:51:08,012 - INFO - [Train] step: 33799, loss_D: 0.009201, lr_D: 0.000800
|
| 719 |
+
2023-07-12 22:51:08,100 - INFO - [Train] step: 33799, loss_G: 10.786451, lr_G: 0.000800
|
| 720 |
+
2023-07-12 22:52:05,560 - INFO - [Train] step: 33899, loss_D: 0.023879, lr_D: 0.000800
|
| 721 |
+
2023-07-12 22:52:05,648 - INFO - [Train] step: 33899, loss_G: 9.217155, lr_G: 0.000800
|
| 722 |
+
2023-07-12 22:53:03,146 - INFO - [Train] step: 33999, loss_D: 0.006648, lr_D: 0.000800
|
| 723 |
+
2023-07-12 22:53:03,234 - INFO - [Train] step: 33999, loss_G: 12.203970, lr_G: 0.000800
|
| 724 |
+
2023-07-12 22:54:07,477 - INFO - [Eval] step: 33999, fid: 33.351323
|
| 725 |
+
2023-07-12 22:55:04,751 - INFO - [Train] step: 34099, loss_D: 0.001176, lr_D: 0.000800
|
| 726 |
+
2023-07-12 22:55:04,839 - INFO - [Train] step: 34099, loss_G: 11.682909, lr_G: 0.000800
|
| 727 |
+
2023-07-12 22:56:02,307 - INFO - [Train] step: 34199, loss_D: 0.007645, lr_D: 0.000800
|
| 728 |
+
2023-07-12 22:56:02,395 - INFO - [Train] step: 34199, loss_G: 11.872160, lr_G: 0.000800
|
| 729 |
+
2023-07-12 22:56:59,973 - INFO - [Train] step: 34299, loss_D: 0.007828, lr_D: 0.000800
|
| 730 |
+
2023-07-12 22:57:00,061 - INFO - [Train] step: 34299, loss_G: 10.393745, lr_G: 0.000800
|
| 731 |
+
2023-07-12 22:57:57,490 - INFO - [Train] step: 34399, loss_D: 0.005186, lr_D: 0.000800
|
| 732 |
+
2023-07-12 22:57:57,578 - INFO - [Train] step: 34399, loss_G: 10.462216, lr_G: 0.000800
|
| 733 |
+
2023-07-12 22:58:55,023 - INFO - [Train] step: 34499, loss_D: 0.004028, lr_D: 0.000800
|
| 734 |
+
2023-07-12 22:58:55,111 - INFO - [Train] step: 34499, loss_G: 11.343937, lr_G: 0.000800
|
| 735 |
+
2023-07-12 22:59:52,576 - INFO - [Train] step: 34599, loss_D: 0.020670, lr_D: 0.000800
|
| 736 |
+
2023-07-12 22:59:52,663 - INFO - [Train] step: 34599, loss_G: 9.974153, lr_G: 0.000800
|
| 737 |
+
2023-07-12 23:00:50,102 - INFO - [Train] step: 34699, loss_D: 0.005216, lr_D: 0.000800
|
| 738 |
+
2023-07-12 23:00:50,189 - INFO - [Train] step: 34699, loss_G: 11.225788, lr_G: 0.000800
|
| 739 |
+
2023-07-12 23:01:47,630 - INFO - [Train] step: 34799, loss_D: 0.011507, lr_D: 0.000800
|
| 740 |
+
2023-07-12 23:01:47,718 - INFO - [Train] step: 34799, loss_G: 11.041207, lr_G: 0.000800
|
| 741 |
+
2023-07-12 23:02:45,148 - INFO - [Train] step: 34899, loss_D: 0.095275, lr_D: 0.000800
|
| 742 |
+
2023-07-12 23:02:45,235 - INFO - [Train] step: 34899, loss_G: 6.455341, lr_G: 0.000800
|
| 743 |
+
2023-07-12 23:03:42,786 - INFO - [Train] step: 34999, loss_D: 0.002610, lr_D: 0.000800
|
| 744 |
+
2023-07-12 23:03:42,873 - INFO - [Train] step: 34999, loss_G: 10.728231, lr_G: 0.000800
|
| 745 |
+
2023-07-12 23:04:47,104 - INFO - [Eval] step: 34999, fid: 30.765701
|
| 746 |
+
2023-07-12 23:05:44,397 - INFO - [Train] step: 35099, loss_D: 0.005187, lr_D: 0.000800
|
| 747 |
+
2023-07-12 23:05:44,485 - INFO - [Train] step: 35099, loss_G: 10.715443, lr_G: 0.000800
|
| 748 |
+
2023-07-12 23:06:41,922 - INFO - [Train] step: 35199, loss_D: 0.010139, lr_D: 0.000800
|
| 749 |
+
2023-07-12 23:06:42,010 - INFO - [Train] step: 35199, loss_G: 10.884523, lr_G: 0.000800
|
| 750 |
+
2023-07-12 23:07:39,428 - INFO - [Train] step: 35299, loss_D: 0.005389, lr_D: 0.000800
|
| 751 |
+
2023-07-12 23:07:39,515 - INFO - [Train] step: 35299, loss_G: 10.399111, lr_G: 0.000800
|
| 752 |
+
2023-07-12 23:08:36,981 - INFO - [Train] step: 35399, loss_D: 0.003755, lr_D: 0.000800
|
| 753 |
+
2023-07-12 23:08:37,069 - INFO - [Train] step: 35399, loss_G: 10.443095, lr_G: 0.000800
|
| 754 |
+
2023-07-12 23:09:34,519 - INFO - [Train] step: 35499, loss_D: 0.002526, lr_D: 0.000800
|
| 755 |
+
2023-07-12 23:09:34,607 - INFO - [Train] step: 35499, loss_G: 11.863384, lr_G: 0.000800
|
| 756 |
+
2023-07-12 23:10:32,178 - INFO - [Train] step: 35599, loss_D: 0.116400, lr_D: 0.000800
|
| 757 |
+
2023-07-12 23:10:32,266 - INFO - [Train] step: 35599, loss_G: 7.125185, lr_G: 0.000800
|
| 758 |
+
2023-07-12 23:11:29,672 - INFO - [Train] step: 35699, loss_D: 0.000549, lr_D: 0.000800
|
| 759 |
+
2023-07-12 23:11:29,760 - INFO - [Train] step: 35699, loss_G: 16.245834, lr_G: 0.000800
|
| 760 |
+
2023-07-12 23:12:27,201 - INFO - [Train] step: 35799, loss_D: 0.010855, lr_D: 0.000800
|
| 761 |
+
2023-07-12 23:12:27,289 - INFO - [Train] step: 35799, loss_G: 10.353662, lr_G: 0.000800
|
| 762 |
+
2023-07-12 23:13:24,703 - INFO - [Train] step: 35899, loss_D: 0.002622, lr_D: 0.000800
|
| 763 |
+
2023-07-12 23:13:24,791 - INFO - [Train] step: 35899, loss_G: 10.945267, lr_G: 0.000800
|
| 764 |
+
2023-07-12 23:14:22,233 - INFO - [Train] step: 35999, loss_D: 0.005417, lr_D: 0.000800
|
| 765 |
+
2023-07-12 23:14:22,321 - INFO - [Train] step: 35999, loss_G: 11.604994, lr_G: 0.000800
|
| 766 |
+
2023-07-12 23:15:26,492 - INFO - [Eval] step: 35999, fid: 33.813961
|
| 767 |
+
2023-07-12 23:16:23,835 - INFO - [Train] step: 36099, loss_D: 0.003256, lr_D: 0.000800
|
| 768 |
+
2023-07-12 23:16:23,922 - INFO - [Train] step: 36099, loss_G: 12.505394, lr_G: 0.000800
|
| 769 |
+
2023-07-12 23:17:21,363 - INFO - [Train] step: 36199, loss_D: 0.013223, lr_D: 0.000800
|
| 770 |
+
2023-07-12 23:17:21,450 - INFO - [Train] step: 36199, loss_G: 10.757958, lr_G: 0.000800
|
| 771 |
+
2023-07-12 23:18:19,030 - INFO - [Train] step: 36299, loss_D: 0.006589, lr_D: 0.000800
|
| 772 |
+
2023-07-12 23:18:19,118 - INFO - [Train] step: 36299, loss_G: 10.596739, lr_G: 0.000800
|
| 773 |
+
2023-07-12 23:19:16,590 - INFO - [Train] step: 36399, loss_D: 0.002567, lr_D: 0.000800
|
| 774 |
+
2023-07-12 23:19:16,678 - INFO - [Train] step: 36399, loss_G: 11.028767, lr_G: 0.000800
|
| 775 |
+
2023-07-12 23:20:14,158 - INFO - [Train] step: 36499, loss_D: 0.004308, lr_D: 0.000800
|
| 776 |
+
2023-07-12 23:20:14,246 - INFO - [Train] step: 36499, loss_G: 11.318540, lr_G: 0.000800
|
| 777 |
+
2023-07-12 23:21:11,697 - INFO - [Train] step: 36599, loss_D: 0.011383, lr_D: 0.000800
|
| 778 |
+
2023-07-12 23:21:11,785 - INFO - [Train] step: 36599, loss_G: 10.280243, lr_G: 0.000800
|
| 779 |
+
2023-07-12 23:22:09,210 - INFO - [Train] step: 36699, loss_D: 0.002741, lr_D: 0.000800
|
| 780 |
+
2023-07-12 23:22:09,297 - INFO - [Train] step: 36699, loss_G: 11.439182, lr_G: 0.000800
|
| 781 |
+
2023-07-12 23:23:06,763 - INFO - [Train] step: 36799, loss_D: 0.001333, lr_D: 0.000800
|
| 782 |
+
2023-07-12 23:23:06,851 - INFO - [Train] step: 36799, loss_G: 11.009180, lr_G: 0.000800
|
| 783 |
+
2023-07-12 23:24:04,417 - INFO - [Train] step: 36899, loss_D: 0.004642, lr_D: 0.000800
|
| 784 |
+
2023-07-12 23:24:04,505 - INFO - [Train] step: 36899, loss_G: 11.503386, lr_G: 0.000800
|
| 785 |
+
2023-07-12 23:25:01,947 - INFO - [Train] step: 36999, loss_D: 0.060789, lr_D: 0.000800
|
| 786 |
+
2023-07-12 23:25:02,035 - INFO - [Train] step: 36999, loss_G: 7.120116, lr_G: 0.000800
|
| 787 |
+
2023-07-12 23:26:06,249 - INFO - [Eval] step: 36999, fid: 30.180895
|
| 788 |
+
2023-07-12 23:27:03,490 - INFO - [Train] step: 37099, loss_D: 0.002030, lr_D: 0.000800
|
| 789 |
+
2023-07-12 23:27:03,578 - INFO - [Train] step: 37099, loss_G: 11.002737, lr_G: 0.000800
|
| 790 |
+
2023-07-12 23:28:01,023 - INFO - [Train] step: 37199, loss_D: 0.001246, lr_D: 0.000800
|
| 791 |
+
2023-07-12 23:28:01,111 - INFO - [Train] step: 37199, loss_G: 10.928606, lr_G: 0.000800
|
| 792 |
+
2023-07-12 23:28:58,544 - INFO - [Train] step: 37299, loss_D: 0.001570, lr_D: 0.000800
|
| 793 |
+
2023-07-12 23:28:58,632 - INFO - [Train] step: 37299, loss_G: 12.395868, lr_G: 0.000800
|
| 794 |
+
2023-07-12 23:29:56,066 - INFO - [Train] step: 37399, loss_D: 0.027853, lr_D: 0.000800
|
| 795 |
+
2023-07-12 23:29:56,154 - INFO - [Train] step: 37399, loss_G: 8.463290, lr_G: 0.000800
|
| 796 |
+
2023-07-12 23:30:53,579 - INFO - [Train] step: 37499, loss_D: 0.004656, lr_D: 0.000800
|
| 797 |
+
2023-07-12 23:30:53,666 - INFO - [Train] step: 37499, loss_G: 10.859463, lr_G: 0.000800
|
| 798 |
+
2023-07-12 23:31:51,253 - INFO - [Train] step: 37599, loss_D: 0.001431, lr_D: 0.000800
|
| 799 |
+
2023-07-12 23:31:51,341 - INFO - [Train] step: 37599, loss_G: 11.592205, lr_G: 0.000800
|
| 800 |
+
2023-07-12 23:32:48,781 - INFO - [Train] step: 37699, loss_D: 0.000697, lr_D: 0.000800
|
| 801 |
+
2023-07-12 23:32:48,869 - INFO - [Train] step: 37699, loss_G: 12.845480, lr_G: 0.000800
|
| 802 |
+
2023-07-12 23:33:46,300 - INFO - [Train] step: 37799, loss_D: 0.016359, lr_D: 0.000800
|
| 803 |
+
2023-07-12 23:33:46,388 - INFO - [Train] step: 37799, loss_G: 9.111818, lr_G: 0.000800
|
| 804 |
+
2023-07-12 23:34:43,819 - INFO - [Train] step: 37899, loss_D: 0.001703, lr_D: 0.000800
|
| 805 |
+
2023-07-12 23:34:43,907 - INFO - [Train] step: 37899, loss_G: 10.874673, lr_G: 0.000800
|
| 806 |
+
2023-07-12 23:35:41,330 - INFO - [Train] step: 37999, loss_D: 0.005083, lr_D: 0.000800
|
| 807 |
+
2023-07-12 23:35:41,418 - INFO - [Train] step: 37999, loss_G: 11.865730, lr_G: 0.000800
|
| 808 |
+
2023-07-12 23:36:45,535 - INFO - [Eval] step: 37999, fid: 33.537507
|
| 809 |
+
2023-07-12 23:37:42,810 - INFO - [Train] step: 38099, loss_D: 0.006491, lr_D: 0.000800
|
| 810 |
+
2023-07-12 23:37:42,897 - INFO - [Train] step: 38099, loss_G: 12.005985, lr_G: 0.000800
|
| 811 |
+
2023-07-12 23:38:40,481 - INFO - [Train] step: 38199, loss_D: 0.009269, lr_D: 0.000800
|
| 812 |
+
2023-07-12 23:38:40,569 - INFO - [Train] step: 38199, loss_G: 10.862595, lr_G: 0.000800
|
| 813 |
+
2023-07-12 23:39:37,992 - INFO - [Train] step: 38299, loss_D: 0.002769, lr_D: 0.000800
|
| 814 |
+
2023-07-12 23:39:38,079 - INFO - [Train] step: 38299, loss_G: 12.476723, lr_G: 0.000800
|
| 815 |
+
2023-07-12 23:40:35,535 - INFO - [Train] step: 38399, loss_D: 0.002460, lr_D: 0.000800
|
| 816 |
+
2023-07-12 23:40:35,622 - INFO - [Train] step: 38399, loss_G: 11.591688, lr_G: 0.000800
|
| 817 |
+
2023-07-12 23:41:33,038 - INFO - [Train] step: 38499, loss_D: 0.054696, lr_D: 0.000800
|
| 818 |
+
2023-07-12 23:41:33,126 - INFO - [Train] step: 38499, loss_G: 7.878085, lr_G: 0.000800
|
| 819 |
+
2023-07-12 23:42:30,591 - INFO - [Train] step: 38599, loss_D: 0.003342, lr_D: 0.000800
|
| 820 |
+
2023-07-12 23:42:30,678 - INFO - [Train] step: 38599, loss_G: 11.112391, lr_G: 0.000800
|
| 821 |
+
2023-07-12 23:43:28,146 - INFO - [Train] step: 38699, loss_D: 0.002558, lr_D: 0.000800
|
| 822 |
+
2023-07-12 23:43:28,234 - INFO - [Train] step: 38699, loss_G: 11.609528, lr_G: 0.000800
|
| 823 |
+
2023-07-12 23:44:25,672 - INFO - [Train] step: 38799, loss_D: 0.005021, lr_D: 0.000800
|
| 824 |
+
2023-07-12 23:44:25,759 - INFO - [Train] step: 38799, loss_G: 11.698695, lr_G: 0.000800
|
| 825 |
+
2023-07-12 23:45:23,302 - INFO - [Train] step: 38899, loss_D: 0.003490, lr_D: 0.000800
|
| 826 |
+
2023-07-12 23:45:23,390 - INFO - [Train] step: 38899, loss_G: 12.095455, lr_G: 0.000800
|
| 827 |
+
2023-07-12 23:46:20,807 - INFO - [Train] step: 38999, loss_D: 0.007112, lr_D: 0.000800
|
| 828 |
+
2023-07-12 23:46:20,894 - INFO - [Train] step: 38999, loss_G: 11.458523, lr_G: 0.000800
|
| 829 |
+
2023-07-12 23:47:25,070 - INFO - [Eval] step: 38999, fid: 28.558995
|
| 830 |
+
2023-07-12 23:48:22,341 - INFO - [Train] step: 39099, loss_D: 0.001426, lr_D: 0.000800
|
| 831 |
+
2023-07-12 23:48:22,428 - INFO - [Train] step: 39099, loss_G: 11.771294, lr_G: 0.000800
|
| 832 |
+
2023-07-12 23:49:19,900 - INFO - [Train] step: 39199, loss_D: 0.002724, lr_D: 0.000800
|
| 833 |
+
2023-07-12 23:49:19,988 - INFO - [Train] step: 39199, loss_G: 12.342468, lr_G: 0.000800
|
| 834 |
+
2023-07-12 23:50:17,423 - INFO - [Train] step: 39299, loss_D: 0.263416, lr_D: 0.000800
|
| 835 |
+
2023-07-12 23:50:17,510 - INFO - [Train] step: 39299, loss_G: 5.966827, lr_G: 0.000800
|
| 836 |
+
2023-07-12 23:51:14,929 - INFO - [Train] step: 39399, loss_D: 0.007828, lr_D: 0.000800
|
| 837 |
+
2023-07-12 23:51:15,016 - INFO - [Train] step: 39399, loss_G: 10.605097, lr_G: 0.000800
|
| 838 |
+
2023-07-12 23:52:12,560 - INFO - [Train] step: 39499, loss_D: 0.001735, lr_D: 0.000800
|
| 839 |
+
2023-07-12 23:52:12,648 - INFO - [Train] step: 39499, loss_G: 12.437737, lr_G: 0.000800
|
| 840 |
+
2023-07-12 23:53:10,076 - INFO - [Train] step: 39599, loss_D: 0.160521, lr_D: 0.000800
|
| 841 |
+
2023-07-12 23:53:10,164 - INFO - [Train] step: 39599, loss_G: 6.120922, lr_G: 0.000800
|
| 842 |
+
2023-07-12 23:54:07,610 - INFO - [Train] step: 39699, loss_D: 0.001688, lr_D: 0.000800
|
| 843 |
+
2023-07-12 23:54:07,697 - INFO - [Train] step: 39699, loss_G: 12.907055, lr_G: 0.000800
|
| 844 |
+
2023-07-12 23:55:05,153 - INFO - [Train] step: 39799, loss_D: 0.002692, lr_D: 0.000800
|
| 845 |
+
2023-07-12 23:55:05,241 - INFO - [Train] step: 39799, loss_G: 12.623354, lr_G: 0.000800
|
| 846 |
+
2023-07-12 23:56:02,663 - INFO - [Train] step: 39899, loss_D: 0.007917, lr_D: 0.000800
|
| 847 |
+
2023-07-12 23:56:02,751 - INFO - [Train] step: 39899, loss_G: 10.545288, lr_G: 0.000800
|
| 848 |
+
2023-07-12 23:57:00,166 - INFO - [Train] step: 39999, loss_D: 0.003061, lr_D: 0.000800
|
| 849 |
+
2023-07-12 23:57:00,254 - INFO - [Train] step: 39999, loss_G: 12.191031, lr_G: 0.000800
|
| 850 |
+
2023-07-12 23:58:04,475 - INFO - [Eval] step: 39999, fid: 30.039670
|
| 851 |
+
2023-07-12 23:58:04,687 - INFO - Best FID score: 25.273268722103296
|
| 852 |
+
2023-07-12 23:58:04,687 - INFO - End of training
|
cgan_cbn_cifar10/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:e350f06a8ee52d4d5f9e0a292078ca822d9005026bd3437b48a1d27831d82344
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| 3 |
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size 5708547
|
cgan_cbn_cifar10/tensorboard/events.out.tfevents.1689180691.jason-system.1481.0
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:8891f48bf5d7509cc2752efaf22eb7f35fae22fc4d44fc289b02f8e7b11430cf
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| 3 |
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size 8095936
|