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+ === EXP 2A3_PP (arch A3, Pyramid Pix2Pix S1, seed=42, lr=2e-4, no warmup, 8k) start 2026-07-15T20:20:55+00:00 ===
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+ [main] device=cuda
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+ [main] paired train=11610 val=3582
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+ Setting up [LPIPS] perceptual loss: trunk [alex], v[0.1], spatial [off]
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+ /usr/local/lib/python3.12/dist-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
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+ warnings.warn(
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+ /usr/local/lib/python3.12/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=AlexNet_Weights.IMAGENET1K_V1`. You can also use `weights=AlexNet_Weights.DEFAULT` to get the most up-to-date weights.
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+ warnings.warn(msg)
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+ Downloading: "https://download.pytorch.org/models/alexnet-owt-7be5be79.pth" to /home/ubuntu/.cache/torch/hub/checkpoints/alexnet-owt-7be5be79.pth
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+ Loading model from: /home/ubuntu/.local/lib/python3.12/site-packages/lpips/weights/v0.1/alex.pth
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+ [arch=A3 ds=1] params = 10.86M
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+ [arch=A3 ds=1] D params = 2.77M (PatchGAN, base=64)
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+ [arch=A3 ds=1] step 500 lr=2.00e-04 val_l1=0.1395 val_lpips=0.2978 best=0.2978 (190s)
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+ [arch=A3 ds=1] step 1000 lr=2.00e-04 val_l1=0.1397 val_lpips=0.2871 best=0.2871 (376s)
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+ [arch=A3 ds=1] step 1500 lr=2.00e-04 val_l1=0.1370 val_lpips=0.2673 best=0.2673 (563s)
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+ [arch=A3 ds=1] step 2000 lr=2.00e-04 val_l1=0.1483 val_lpips=0.2553 best=0.2553 (749s)
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+ [arch=A3 ds=1] step 2500 lr=2.00e-04 val_l1=0.1411 val_lpips=0.2588 best=0.2553 (935s)
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+ [arch=A3 ds=1] step 3000 lr=2.00e-04 val_l1=0.1333 val_lpips=0.2433 best=0.2433 (1120s)
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+ [arch=A3 ds=1] step 3500 lr=2.00e-04 val_l1=0.1290 val_lpips=0.2534 best=0.2433 (1305s)
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+ [arch=A3 ds=1] step 4000 lr=2.00e-04 val_l1=0.1340 val_lpips=0.2428 best=0.2428 (1492s)
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+ [arch=A3 ds=1] step 4500 lr=2.00e-04 val_l1=0.1338 val_lpips=0.2444 best=0.2428 (1677s)
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+ [arch=A3 ds=1] step 5000 lr=2.00e-04 val_l1=0.1376 val_lpips=0.2452 best=0.2428 (1863s)
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+ [arch=A3 ds=1] step 5500 lr=2.00e-04 val_l1=0.1273 val_lpips=0.2373 best=0.2373 (2050s)
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+ [arch=A3 ds=1] step 6000 lr=2.00e-04 val_l1=0.1338 val_lpips=0.2426 best=0.2373 (2237s)
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+ [arch=A3 ds=1] step 6500 lr=2.00e-04 val_l1=0.1375 val_lpips=0.2438 best=0.2373 (2423s)
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+ [arch=A3 ds=1] step 7000 lr=2.00e-04 val_l1=0.1412 val_lpips=0.2383 best=0.2373 (2611s)
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+ [arch=A3 ds=1] step 7500 lr=2.00e-04 val_l1=0.1407 val_lpips=0.2721 best=0.2373 (2796s)
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+ [arch=A3 ds=1] step 8000 lr=2.00e-04 val_l1=0.1330 val_lpips=0.2455 best=0.2373 (2984s)
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+ [arch=A3 ds=1] DONE. best_val_lpips=0.2373 final=0.2455 elapsed=3011s
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+
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+ === LEADERBOARD (best val LPIPS, lower better) ===
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+ arch ds best_lpips final_lpips final_l1 params(M)
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+ A3 1 0.2373 0.2455 0.1330 10.86
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+ === EXP 2A3_PP done 2026-07-15T21:11:19+00:00 exit=0 ===