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  1. cub200/run_011/Eval/eval.log.rank0 +27 -0
  2. cub200/run_011/Eval/eval.log.rank1 +0 -0
  3. cub200/run_011/Eval/eval.log.rank2 +0 -0
  4. cub200/run_011/Eval/eval.log.rank3 +0 -0
  5. cub200/run_011/Eval/eval.log.rank4 +0 -0
  6. cub200/run_011/Eval/eval_results.json +16 -0
  7. cub200/run_011/checkpoint-20000/transformer/config.json +30 -0
  8. cub200/run_011/checkpoint-20000/transformer/diffusion_pytorch_model.safetensors +3 -0
  9. cub200/run_011/checkpoint-25000/transformer/config.json +30 -0
  10. cub200/run_011/checkpoint-25000/transformer/diffusion_pytorch_model.safetensors +3 -0
  11. cub200/run_011/checkpoint-30000/transformer/config.json +30 -0
  12. cub200/run_011/checkpoint-30000/transformer/diffusion_pytorch_model.safetensors +3 -0
  13. cub200/run_011/model_index.json +24 -0
  14. cub200/run_011/scheduler/scheduler_config.json +27 -0
  15. cub200/run_011/summary.json +7 -0
  16. cub200/run_011/text_encoder/config.json +33 -0
  17. cub200/run_011/text_encoder/model.safetensors +3 -0
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  22. cub200/run_011/transformer/config.json +30 -0
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  24. cub200/run_011/vae/config.json +38 -0
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  26. cub200/run_011/validation/collage_step_0002000.png +3 -0
  27. cub200/run_011/validation/collage_step_0004000.png +3 -0
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  30. cub200/run_011/validation/collage_step_0010000.png +3 -0
  31. cub200/run_011/validation/collage_step_0012000.png +3 -0
  32. cub200/run_011/validation/collage_step_0014000.png +3 -0
  33. cub200/run_011/validation/collage_step_0016000.png +3 -0
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  37. cub200/run_011/validation/collage_step_0024000.png +3 -0
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  39. cub200/run_011/validation/collage_step_0028000.png +3 -0
  40. cub200/run_011/validation/collage_step_0030000.png +3 -0
cub200/run_011/Eval/eval.log.rank0 ADDED
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+ [2026-06-14 03:38:10] [RANK-0] [INFO] Loading PixArt-Sigma pipeline from RESULTS/cub200/run_011 ...
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+ [2026-06-14 03:38:16] [RANK-0] [INFO] Loading InceptionV3 (FID dim=64) ...
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+ [2026-06-14 03:38:17] [RANK-0] [INFO] Loading CLIP (ViT-B/32) ...
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+ [2026-06-14 03:38:22] [RANK-0] [INFO] Loading LPIPS ...
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+ [2026-06-14 03:38:22] [RANK-0] [INFO] Loading PickScore ...
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+ [2026-06-14 03:38:30] [RANK-0] [INFO] Loading HPSv2 (v2.0) ...
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+ [2026-06-14 03:38:41] [RANK-0] [INFO] Loading HPSv2.1 (v2.1) ...
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+ [2026-06-14 03:38:54] [RANK-0] [INFO] Loading Aesthetic scorer ...
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+ [2026-06-14 03:39:04] [RANK-0] [INFO] Dataset: 17685 samples split across 5 GPUs (~443 batches/rank)
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+ [2026-06-14 03:39:04] [RANK-0] [INFO] Starting evaluation...
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+ [2026-06-14 03:39:04] [RANK-0] [INFO] Checkpoint : RESULTS/cub200/run_011
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+ [2026-06-14 03:39:04] [RANK-0] [INFO] Total samples: 17685 | World size: 5
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+ [2026-06-14 03:39:04] [RANK-0] [INFO] FID dim : 64 | Inf steps: 20 | Guidance: 5
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+ [2026-06-14 03:40:28] [RANK-0] [INFO] [rank 0] Batch [10/443] | CLIP 28.5044 | LPIPS 0.7972 | Pick 0.2098 | HPSv2 0.2710 | HPSv2.1 0.2198 | Aes 4.9261
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+ [2026-06-14 03:41:50] [RANK-0] [INFO] [rank 0] Batch [20/443] | CLIP 28.5277 | LPIPS 0.7993 | Pick 0.2104 | HPSv2 0.2713 | HPSv2.1 0.2202 | Aes 4.9211
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+ [2026-06-14 03:43:16] [RANK-0] [INFO] [rank 0] Batch [30/443] | CLIP 28.6123 | LPIPS 0.8024 | Pick 0.2101 | HPSv2 0.2717 | HPSv2.1 0.2208 | Aes 4.9091
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+ [2026-06-14 03:44:41] [RANK-0] [INFO] [rank 0] Batch [40/443] | CLIP 28.5193 | LPIPS 0.8045 | Pick 0.2097 | HPSv2 0.2711 | HPSv2.1 0.2205 | Aes 4.9053
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+ [2026-06-14 03:46:05] [RANK-0] [INFO] [rank 0] Batch [50/443] | CLIP 28.5024 | LPIPS 0.8073 | Pick 0.2098 | HPSv2 0.2710 | HPSv2.1 0.2202 | Aes 4.8976
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+ [2026-06-14 03:47:30] [RANK-0] [INFO] [rank 0] Batch [60/443] | CLIP 28.5259 | LPIPS 0.8080 | Pick 0.2096 | HPSv2 0.2709 | HPSv2.1 0.2203 | Aes 4.8983
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+ [2026-06-14 03:48:55] [RANK-0] [INFO] [rank 0] Batch [70/443] | CLIP 28.5568 | LPIPS 0.8067 | Pick 0.2096 | HPSv2 0.2711 | HPSv2.1 0.2203 | Aes 4.9043
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+ [2026-06-14 03:50:19] [RANK-0] [INFO] [rank 0] Batch [80/443] | CLIP 28.5517 | LPIPS 0.8058 | Pick 0.2096 | HPSv2 0.2710 | HPSv2.1 0.2202 | Aes 4.9014
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+ [2026-06-14 03:51:43] [RANK-0] [INFO] [rank 0] Batch [90/443] | CLIP 28.5687 | LPIPS 0.8047 | Pick 0.2096 | HPSv2 0.2711 | HPSv2.1 0.2203 | Aes 4.9046
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+ [2026-06-14 03:53:06] [RANK-0] [INFO] [rank 0] Batch [100/443] | CLIP 28.5558 | LPIPS 0.8041 | Pick 0.2096 | HPSv2 0.2711 | HPSv2.1 0.2203 | Aes 4.9083
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+ [2026-06-14 03:54:31] [RANK-0] [INFO] [rank 0] Batch [110/443] | CLIP 28.5259 | LPIPS 0.8032 | Pick 0.2094 | HPSv2 0.2711 | HPSv2.1 0.2200 | Aes 4.9109
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+ [2026-06-14 03:55:56] [RANK-0] [INFO] [rank 0] Batch [120/443] | CLIP 28.5344 | LPIPS 0.8034 | Pick 0.2094 | HPSv2 0.2710 | HPSv2.1 0.2198 | Aes 4.9104
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+ [2026-06-14 03:57:19] [RANK-0] [INFO] [rank 0] Batch [130/443] | CLIP 28.5369 | LPIPS 0.8033 | Pick 0.2094 | HPSv2 0.2710 | HPSv2.1 0.2197 | Aes 4.9111
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+ [2026-06-14 03:58:44] [RANK-0] [INFO] [rank 0] Batch [140/443] | CLIP 28.5283 | LPIPS 0.8044 | Pick 0.2093 | HPSv2 0.2709 | HPSv2.1 0.2198 | Aes 4.9125
cub200/run_011/Eval/eval.log.rank1 ADDED
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cub200/run_011/Eval/eval.log.rank2 ADDED
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cub200/run_011/train_diffusion_pixart_sigma.log ADDED
@@ -0,0 +1,353 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ PixArt-Sigma Stage 2 DiT: 2026-06-12 13:28:51
2
+ ================================================================================
3
+ [13:28:51] PixArt-Sigma Stage 2: DiT fine-tune with Stage 1 VAE
4
+ [13:28:51] Output dir : RESULTS/cub200/run_011
5
+ [13:28:51] Pretrained model: /data/shubham/hf_cache/hub/models--PixArt-alpha--PixArt-Sigma-XL-2-512-MS/snapshots/76fb7eb5a9314bc1e4e479d2f13447517fca9be4
6
+ [13:28:51] VAE Stage 1 dir : ./weights/run_009/checkpoint-10000/autoencoderkl
7
+ [13:28:51] Data dir : ../data/cub200
8
+ [13:28:51] Max seq len : 300 (Sigma uses 300)
9
+ [13:28:51] Loading T5 tokenizer + encoder (from 1024-MS) ...
10
+ [13:28:59] Loading DDPMScheduler (v_prediction) from 1024-MS ...
11
+ [13:28:59] Scheduler: DDPMScheduler | prediction=epsilon | T=1000
12
+ [13:28:59] Loading PixArtTransformer2DModel ...
13
+ [13:29:03] Transformer: 610,856,096 params
14
+ [13:29:03] sample_size=64 | resolution conditioning=False
15
+ [13:29:03] Steps=30000 Epochs=3 Batch=4 GradAccum=1
16
+ Step 100 | Ep 0 | loss 0.343540 | avg 0.343540 | lr 1.00e-06 | 0:01:11 | ETA 5:57:59
17
+ Step 200 | Ep 0 | loss 0.214877 | avg 0.279208 | lr 2.00e-06 | 0:02:11 | ETA 5:25:46
18
+ Step 300 | Ep 0 | loss 0.010723 | avg 0.189713 | lr 3.00e-06 | 0:03:10 | ETA 5:14:39
19
+ Step 400 | Ep 0 | loss 0.161454 | avg 0.182649 | lr 4.00e-06 | 0:04:10 | ETA 5:08:32
20
+ Step 500 | Ep 0 | loss 0.390666 | avg 0.224252 | lr 5.00e-06 | 0:05:09 | ETA 5:04:22
21
+ Step 600 | Ep 0 | loss 0.126662 | avg 0.207987 | lr 6.00e-06 | 0:06:08 | ETA 5:01:14
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+ Step 700 | Ep 0 | loss 0.089936 | avg 0.191123 | lr 7.00e-06 | 0:07:08 | ETA 4:58:39
23
+ Step 800 | Ep 0 | loss 0.042532 | avg 0.172549 | lr 8.00e-06 | 0:08:07 | ETA 4:56:30
24
+ Step 900 | Ep 0 | loss 0.064835 | avg 0.160581 | lr 9.00e-06 | 0:09:06 | ETA 4:54:38
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+ Step 1000 | Ep 0 | loss 0.267603 | avg 0.171283 | lr 1.00e-05 | 0:10:06 | ETA 4:52:56
26
+ Step 1100 | Ep 0 | loss 0.204057 | avg 0.174262 | lr 1.00e-05 | 0:11:05 | ETA 4:51:19
27
+ Step 1200 | Ep 0 | loss 0.062042 | avg 0.164911 | lr 1.00e-05 | 0:12:04 | ETA 4:49:53
28
+ Step 1300 | Ep 0 | loss 0.650110 | avg 0.202234 | lr 1.00e-05 | 0:13:04 | ETA 4:48:31
29
+ Step 1400 | Ep 0 | loss 0.012064 | avg 0.188650 | lr 1.00e-05 | 0:14:03 | ETA 4:47:12
30
+ Step 1500 | Ep 0 | loss 0.169714 | avg 0.187388 | lr 9.99e-06 | 0:15:02 | ETA 4:45:56
31
+ Step 1600 | Ep 0 | loss 0.229400 | avg 0.190013 | lr 9.99e-06 | 0:16:02 | ETA 4:44:42
32
+ Step 1700 | Ep 0 | loss 0.162924 | avg 0.188420 | lr 9.99e-06 | 0:17:01 | ETA 4:43:28
33
+ Step 1800 | Ep 0 | loss 0.116897 | avg 0.184446 | lr 9.98e-06 | 0:18:01 | ETA 4:42:16
34
+ Step 1900 | Ep 0 | loss 0.081617 | avg 0.179034 | lr 9.98e-06 | 0:19:00 | ETA 4:41:10
35
+ Step 2000 | Ep 0 | loss 0.012006 | avg 0.170683 | lr 9.97e-06 | 0:20:00 | ETA 4:40:00
36
+ [13:48:52] Generating 4 validation images ...
37
+ [13:48:57] Saved -> RESULTS/cub200/run_011/validation/collage_step_0002000.png
38
+ Step 2100 | Ep 0 | loss 0.049222 | avg 0.164899 | lr 9.96e-06 | 0:21:05 | ETA 4:40:09
39
+ Step 2200 | Ep 0 | loss 0.227459 | avg 0.167743 | lr 9.96e-06 | 0:22:04 | ETA 4:38:58
40
+ Step 2300 | Ep 0 | loss 0.072369 | avg 0.163596 | lr 9.95e-06 | 0:23:04 | ETA 4:37:48
41
+ Step 2400 | Ep 0 | loss 0.127791 | avg 0.162104 | lr 9.94e-06 | 0:24:03 | ETA 4:36:38
42
+ Step 2500 | Ep 0 | loss 0.027392 | avg 0.156716 | lr 9.93e-06 | 0:25:02 | ETA 4:35:28
43
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44
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45
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46
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47
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48
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53
+ Step 3600 | Ep 0 | loss 0.247358 | avg 0.154534 | lr 9.80e-06 | 0:35:54 | ETA 4:23:23
54
+ Step 3700 | Ep 0 | loss 0.026684 | avg 0.151078 | lr 9.79e-06 | 0:36:54 | ETA 4:22:20
55
+ Step 3800 | Ep 0 | loss 0.180765 | avg 0.151860 | lr 9.77e-06 | 0:37:53 | ETA 4:21:16
56
+ Step 3900 | Ep 0 | loss 0.048716 | avg 0.149215 | lr 9.76e-06 | 0:38:53 | ETA 4:20:13
57
+ Step 4000 | Ep 0 | loss 0.081126 | avg 0.147513 | lr 9.74e-06 | 0:39:52 | ETA 4:19:10
58
+ [14:08:44] Generating 4 validation images ...
59
+ [14:08:49] Saved -> RESULTS/cub200/run_011/validation/collage_step_0004000.png
60
+ Step 4100 | Ep 0 | loss 0.161316 | avg 0.147849 | lr 9.72e-06 | 0:40:57 | ETA 4:18:44
61
+ Step 4200 | Ep 0 | loss 0.104645 | avg 0.146821 | lr 9.70e-06 | 0:41:56 | ETA 4:17:40
62
+ Step 4300 | Ep 0 | loss 0.193242 | avg 0.147900 | lr 9.68e-06 | 0:42:56 | ETA 4:16:37
63
+ Step 4400 | Ep 0 | loss 0.316520 | avg 0.151732 | lr 9.66e-06 | 0:43:55 | ETA 4:15:34
64
+ Step 4500 | Ep 0 | loss 0.517022 | avg 0.159850 | lr 9.64e-06 | 0:44:55 | ETA 4:14:31
65
+ Step 4600 | Ep 0 | loss 0.427350 | avg 0.165665 | lr 9.62e-06 | 0:45:54 | ETA 4:13:29
66
+ Step 4700 | Ep 0 | loss 0.317036 | avg 0.168886 | lr 9.60e-06 | 0:46:53 | ETA 4:12:26
67
+ Step 4800 | Ep 0 | loss 0.444918 | avg 0.174637 | lr 9.58e-06 | 0:47:53 | ETA 4:11:24
68
+ Step 4900 | Ep 0 | loss 0.046421 | avg 0.172020 | lr 9.56e-06 | 0:48:52 | ETA 4:10:22
69
+ Step 5000 | Ep 0 | loss 0.054053 | avg 0.169661 | lr 9.54e-06 | 0:49:52 | ETA 4:09:20
70
+ [14:18:46] Checkpoint -> RESULTS/cub200/run_011/checkpoint-5000
71
+ Step 5100 | Ep 0 | loss 0.549982 | avg 0.177118 | lr 9.51e-06 | 0:50:53 | ETA 4:08:29
72
+ Step 5200 | Ep 0 | loss 0.159593 | avg 0.176781 | lr 9.49e-06 | 0:51:52 | ETA 4:07:26
73
+ Step 5300 | Ep 0 | loss 0.157887 | avg 0.176424 | lr 9.47e-06 | 0:52:52 | ETA 4:06:24
74
+ Step 5400 | Ep 0 | loss 0.325587 | avg 0.179187 | lr 9.44e-06 | 0:53:51 | ETA 4:05:22
75
+ Step 5500 | Ep 0 | loss 0.257509 | avg 0.180611 | lr 9.42e-06 | 0:54:51 | ETA 4:04:20
76
+ Step 5600 | Ep 0 | loss 0.020760 | avg 0.177756 | lr 9.39e-06 | 0:55:50 | ETA 4:03:19
77
+ Step 5700 | Ep 0 | loss 0.001556 | avg 0.174665 | lr 9.37e-06 | 0:56:50 | ETA 4:02:17
78
+ Step 5800 | Ep 0 | loss 0.148899 | avg 0.174221 | lr 9.34e-06 | 0:57:49 | ETA 4:01:15
79
+ Step 5900 | Ep 0 | loss 0.084502 | avg 0.172700 | lr 9.31e-06 | 0:58:48 | ETA 4:00:14
80
+ Step 6000 | Ep 0 | loss 0.313492 | avg 0.175047 | lr 9.28e-06 | 0:59:48 | ETA 3:59:12
81
+ [14:28:40] Generating 4 validation images ...
82
+ [14:28:45] Saved -> RESULTS/cub200/run_011/validation/collage_step_0006000.png
83
+ Step 6100 | Ep 0 | loss 0.076534 | avg 0.173432 | lr 9.26e-06 | 1:00:53 | ETA 3:58:35
84
+ Step 6200 | Ep 0 | loss 0.124421 | avg 0.172641 | lr 9.23e-06 | 1:01:53 | ETA 3:57:33
85
+ Step 6300 | Ep 0 | loss 0.032804 | avg 0.170421 | lr 9.20e-06 | 1:02:52 | ETA 3:56:31
86
+ Step 6400 | Ep 0 | loss 0.002601 | avg 0.167799 | lr 9.17e-06 | 1:03:51 | ETA 3:55:30
87
+ Step 6500 | Ep 0 | loss 0.147434 | avg 0.167486 | lr 9.14e-06 | 1:04:51 | ETA 3:54:28
88
+ Step 6600 | Ep 0 | loss 0.300340 | avg 0.169499 | lr 9.11e-06 | 1:05:50 | ETA 3:53:27
89
+ Step 6700 | Ep 0 | loss 0.218215 | avg 0.170226 | lr 9.08e-06 | 1:06:50 | ETA 3:52:26
90
+ Step 6800 | Ep 0 | loss 0.203887 | avg 0.170721 | lr 9.05e-06 | 1:07:49 | ETA 3:51:24
91
+ Step 6900 | Ep 0 | loss 0.247228 | avg 0.171830 | lr 9.01e-06 | 1:08:49 | ETA 3:50:23
92
+ Step 7000 | Ep 0 | loss 0.042054 | avg 0.169976 | lr 8.98e-06 | 1:09:48 | ETA 3:49:21
93
+ Step 7100 | Ep 0 | loss 0.084692 | avg 0.168775 | lr 8.95e-06 | 1:10:47 | ETA 3:48:20
94
+ Step 7200 | Ep 0 | loss 0.362275 | avg 0.171462 | lr 8.91e-06 | 1:11:46 | ETA 3:47:18
95
+ Step 7300 | Ep 0 | loss 0.055917 | avg 0.169879 | lr 8.88e-06 | 1:12:46 | ETA 3:46:17
96
+ Step 7400 | Ep 0 | loss 0.198482 | avg 0.170266 | lr 8.85e-06 | 1:13:45 | ETA 3:45:15
97
+ Step 7500 | Ep 0 | loss 0.351512 | avg 0.172683 | lr 8.81e-06 | 1:14:44 | ETA 3:44:14
98
+ Step 7600 | Ep 0 | loss 0.136820 | avg 0.172211 | lr 8.78e-06 | 1:15:44 | ETA 3:43:12
99
+ Step 7700 | Ep 0 | loss 0.145175 | avg 0.171860 | lr 8.74e-06 | 1:16:43 | ETA 3:42:12
100
+ Step 7800 | Ep 0 | loss 0.299380 | avg 0.173494 | lr 8.70e-06 | 1:17:42 | ETA 3:41:11
101
+ Step 7900 | Ep 0 | loss 0.079066 | avg 0.172299 | lr 8.67e-06 | 1:18:42 | ETA 3:40:10
102
+ Step 8000 | Ep 0 | loss 0.260495 | avg 0.173402 | lr 8.63e-06 | 1:19:41 | ETA 3:39:09
103
+ [14:48:33] Generating 4 validation images ...
104
+ [14:48:39] Saved -> RESULTS/cub200/run_011/validation/collage_step_0008000.png
105
+ Step 8100 | Ep 0 | loss 0.007657 | avg 0.171355 | lr 8.59e-06 | 1:20:47 | ETA 3:38:25
106
+ Step 8200 | Ep 0 | loss 0.201828 | avg 0.171727 | lr 8.55e-06 | 1:21:46 | ETA 3:37:23
107
+ Step 8300 | Ep 0 | loss 0.265422 | avg 0.172856 | lr 8.52e-06 | 1:22:45 | ETA 3:36:23
108
+ Step 8400 | Ep 0 | loss 0.239855 | avg 0.173653 | lr 8.48e-06 | 1:23:45 | ETA 3:35:22
109
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110
+ Step 8600 | Ep 0 | loss 0.383823 | avg 0.174908 | lr 8.40e-06 | 1:25:44 | ETA 3:33:20
111
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112
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113
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114
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115
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116
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117
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118
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119
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120
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121
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122
+ Step 9800 | Ep 0 | loss 0.190244 | avg 0.170672 | lr 7.89e-06 | 1:37:36 | ETA 3:21:11
123
+ Step 9900 | Ep 0 | loss 0.036199 | avg 0.169314 | lr 7.85e-06 | 1:38:36 | ETA 3:20:11
124
+ Step 10000 | Ep 0 | loss 0.232189 | avg 0.169943 | lr 7.81e-06 | 1:39:35 | ETA 3:19:11
125
+ [15:08:29] Checkpoint -> RESULTS/cub200/run_011/checkpoint-10000
126
+ [15:08:30] Generating 4 validation images ...
127
+ [15:08:35] Saved -> RESULTS/cub200/run_011/validation/collage_step_0010000.png
128
+ Step 10100 | Ep 0 | loss 0.181062 | avg 0.168318 | lr 7.76e-06 | 1:40:43 | ETA 3:18:27
129
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130
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131
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132
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133
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134
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135
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138
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139
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140
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141
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142
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143
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144
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145
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146
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147
+ Step 12000 | Ep 1 | loss 0.458698 | avg 0.167240 | lr 6.85e-06 | 1:59:31 | ETA 2:59:17
148
+ [15:28:24] Generating 4 validation images ...
149
+ [15:28:29] Saved -> RESULTS/cub200/run_011/validation/collage_step_0012000.png
150
+ Step 12100 | Ep 1 | loss 0.096020 | avg 0.167708 | lr 6.80e-06 | 2:00:37 | ETA 2:58:26
151
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156
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159
+ Step 13000 | Ep 1 | loss 0.002761 | avg 0.166635 | lr 6.34e-06 | 2:09:32 | ETA 2:49:23
160
+ Step 13100 | Ep 1 | loss 0.103182 | avg 0.167005 | lr 6.29e-06 | 2:10:31 | ETA 2:48:23
161
+ Step 13200 | Ep 1 | loss 0.101319 | avg 0.166432 | lr 6.23e-06 | 2:11:30 | ETA 2:47:23
162
+ Step 13300 | Ep 1 | loss 0.102355 | avg 0.167281 | lr 6.18e-06 | 2:12:30 | ETA 2:46:22
163
+ Step 13400 | Ep 1 | loss 0.221361 | avg 0.167086 | lr 6.13e-06 | 2:13:29 | ETA 2:45:22
164
+ Step 13500 | Ep 1 | loss 0.125203 | avg 0.167892 | lr 6.07e-06 | 2:14:29 | ETA 2:44:22
165
+ Step 13600 | Ep 1 | loss 0.300927 | avg 0.168428 | lr 6.02e-06 | 2:15:28 | ETA 2:43:22
166
+ Step 13700 | Ep 1 | loss 0.079465 | avg 0.168955 | lr 5.97e-06 | 2:16:27 | ETA 2:42:21
167
+ Step 13800 | Ep 1 | loss 0.149852 | avg 0.168646 | lr 5.92e-06 | 2:17:27 | ETA 2:41:21
168
+ Step 13900 | Ep 1 | loss 0.214110 | avg 0.170300 | lr 5.86e-06 | 2:18:26 | ETA 2:40:21
169
+ Step 14000 | Ep 1 | loss 0.335995 | avg 0.172849 | lr 5.81e-06 | 2:19:25 | ETA 2:39:21
170
+ [15:48:18] Generating 4 validation images ...
171
+ [15:48:23] Saved -> RESULTS/cub200/run_011/validation/collage_step_0014000.png
172
+ Step 14100 | Ep 1 | loss 0.084888 | avg 0.172085 | lr 5.76e-06 | 2:20:31 | ETA 2:38:27
173
+ Step 14200 | Ep 1 | loss 0.270357 | avg 0.173742 | lr 5.70e-06 | 2:21:30 | ETA 2:37:27
174
+ Step 14300 | Ep 1 | loss 0.174427 | avg 0.173554 | lr 5.65e-06 | 2:22:30 | ETA 2:36:27
175
+ Step 14400 | Ep 1 | loss 0.168571 | avg 0.172074 | lr 5.59e-06 | 2:23:29 | ETA 2:35:26
176
+ Step 14500 | Ep 1 | loss 0.154697 | avg 0.168451 | lr 5.54e-06 | 2:24:28 | ETA 2:34:26
177
+ Step 14600 | Ep 1 | loss 0.304332 | avg 0.167221 | lr 5.49e-06 | 2:25:28 | ETA 2:33:26
178
+ Step 14700 | Ep 1 | loss 0.438025 | avg 0.168431 | lr 5.43e-06 | 2:26:27 | ETA 2:32:26
179
+ Step 14800 | Ep 1 | loss 0.081498 | avg 0.164796 | lr 5.38e-06 | 2:27:26 | ETA 2:31:26
180
+ Step 14900 | Ep 1 | loss 0.229259 | avg 0.166625 | lr 5.32e-06 | 2:28:26 | ETA 2:30:25
181
+ Step 15000 | Ep 1 | loss 0.118984 | avg 0.167274 | lr 5.27e-06 | 2:29:25 | ETA 2:29:25
182
+ [15:58:19] Checkpoint -> RESULTS/cub200/run_011/checkpoint-15000
183
+ Step 15100 | Ep 1 | loss 0.033959 | avg 0.162114 | lr 5.22e-06 | 2:30:27 | ETA 2:28:27
184
+ Step 15200 | Ep 1 | loss 0.181042 | avg 0.162328 | lr 5.16e-06 | 2:31:26 | ETA 2:27:27
185
+ Step 15300 | Ep 1 | loss 0.185817 | avg 0.162608 | lr 5.11e-06 | 2:32:26 | ETA 2:26:27
186
+ Step 15400 | Ep 1 | loss 0.068881 | avg 0.160041 | lr 5.05e-06 | 2:33:25 | ETA 2:25:27
187
+ Step 15500 | Ep 1 | loss 0.069532 | avg 0.158161 | lr 5.00e-06 | 2:34:24 | ETA 2:24:26
188
+ Step 15600 | Ep 1 | loss 0.159093 | avg 0.159544 | lr 4.95e-06 | 2:35:24 | ETA 2:23:26
189
+ Step 15700 | Ep 1 | loss 0.222449 | avg 0.161753 | lr 4.89e-06 | 2:36:23 | ETA 2:22:26
190
+ Step 15800 | Ep 1 | loss 0.207297 | avg 0.162337 | lr 4.84e-06 | 2:37:22 | ETA 2:21:26
191
+ Step 15900 | Ep 1 | loss 0.232076 | avg 0.163813 | lr 4.78e-06 | 2:38:21 | ETA 2:20:26
192
+ Step 16000 | Ep 1 | loss 0.129220 | avg 0.161970 | lr 4.73e-06 | 2:39:21 | ETA 2:19:26
193
+ [16:08:13] Generating 4 validation images ...
194
+ [16:08:19] Saved -> RESULTS/cub200/run_011/validation/collage_step_0016000.png
195
+ Step 16100 | Ep 1 | loss 0.133675 | avg 0.162542 | lr 4.68e-06 | 2:40:26 | ETA 2:18:31
196
+ Step 16200 | Ep 1 | loss 0.291161 | avg 0.164209 | lr 4.62e-06 | 2:41:26 | ETA 2:17:31
197
+ Step 16300 | Ep 1 | loss 0.180622 | avg 0.165687 | lr 4.57e-06 | 2:42:25 | ETA 2:16:30
198
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199
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200
+ Step 16600 | Ep 1 | loss 0.271924 | avg 0.165606 | lr 4.41e-06 | 2:45:23 | ETA 2:13:30
201
+ Step 16700 | Ep 1 | loss 0.015915 | avg 0.163583 | lr 4.35e-06 | 2:46:22 | ETA 2:12:30
202
+ Step 16800 | Ep 1 | loss 0.005065 | avg 0.161595 | lr 4.30e-06 | 2:47:22 | ETA 2:11:30
203
+ Step 16900 | Ep 1 | loss 0.159395 | avg 0.160716 | lr 4.24e-06 | 2:48:21 | ETA 2:10:30
204
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205
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206
+ Step 17200 | Ep 1 | loss 0.086178 | avg 0.159171 | lr 4.08e-06 | 2:51:19 | ETA 2:07:30
207
+ Step 17300 | Ep 1 | loss 0.457686 | avg 0.163189 | lr 4.03e-06 | 2:52:19 | ETA 2:06:30
208
+ Step 17400 | Ep 1 | loss 0.469378 | avg 0.165898 | lr 3.98e-06 | 2:53:18 | ETA 2:05:30
209
+ Step 17500 | Ep 1 | loss 0.023770 | avg 0.162621 | lr 3.93e-06 | 2:54:18 | ETA 2:04:30
210
+ Step 17600 | Ep 1 | loss 0.075845 | avg 0.162011 | lr 3.87e-06 | 2:55:17 | ETA 2:03:30
211
+ Step 17700 | Ep 1 | loss 0.077792 | avg 0.161337 | lr 3.82e-06 | 2:56:17 | ETA 2:02:30
212
+ Step 17800 | Ep 1 | loss 0.184140 | avg 0.160185 | lr 3.77e-06 | 2:57:16 | ETA 2:01:30
213
+ Step 17900 | Ep 1 | loss 0.015833 | avg 0.159552 | lr 3.71e-06 | 2:58:15 | ETA 2:00:30
214
+ Step 18000 | Ep 1 | loss 0.000824 | avg 0.156956 | lr 3.66e-06 | 2:59:15 | ETA 1:59:30
215
+ [16:28:07] Generating 4 validation images ...
216
+ [16:28:12] Saved -> RESULTS/cub200/run_011/validation/collage_step_0018000.png
217
+ Step 18100 | Ep 1 | loss 0.080626 | avg 0.157685 | lr 3.61e-06 | 3:00:20 | ETA 1:58:34
218
+ Step 18200 | Ep 1 | loss 0.010211 | avg 0.155769 | lr 3.56e-06 | 3:01:20 | ETA 1:57:34
219
+ Step 18300 | Ep 1 | loss 0.421435 | avg 0.157329 | lr 3.51e-06 | 3:02:19 | ETA 1:56:34
220
+ Step 18400 | Ep 1 | loss 0.296613 | avg 0.157897 | lr 3.45e-06 | 3:03:19 | ETA 1:55:34
221
+ Step 18500 | Ep 1 | loss 0.063291 | avg 0.157816 | lr 3.40e-06 | 3:04:18 | ETA 1:54:34
222
+ Step 18600 | Ep 1 | loss 0.122535 | avg 0.155203 | lr 3.35e-06 | 3:05:17 | ETA 1:53:34
223
+ Step 18700 | Ep 1 | loss 0.283747 | avg 0.156818 | lr 3.30e-06 | 3:06:16 | ETA 1:52:33
224
+ Step 18800 | Ep 1 | loss 0.052606 | avg 0.157084 | lr 3.25e-06 | 3:07:16 | ETA 1:51:33
225
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226
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227
+ Step 19100 | Ep 1 | loss 0.178337 | avg 0.160237 | lr 3.10e-06 | 3:10:14 | ETA 1:48:34
228
+ Step 19200 | Ep 1 | loss 0.160684 | avg 0.158124 | lr 3.05e-06 | 3:11:13 | ETA 1:47:34
229
+ Step 19300 | Ep 1 | loss 0.002823 | avg 0.154591 | lr 3.00e-06 | 3:12:13 | ETA 1:46:34
230
+ Step 19400 | Ep 1 | loss 0.042949 | avg 0.153280 | lr 2.95e-06 | 3:13:12 | ETA 1:45:34
231
+ Step 19500 | Ep 1 | loss 0.086077 | avg 0.153849 | lr 2.90e-06 | 3:14:12 | ETA 1:44:34
232
+ Step 19600 | Ep 1 | loss 0.213548 | avg 0.154306 | lr 2.85e-06 | 3:15:11 | ETA 1:43:34
233
+ Step 19700 | Ep 1 | loss 0.140866 | avg 0.154947 | lr 2.80e-06 | 3:16:10 | ETA 1:42:34
234
+ Step 19800 | Ep 1 | loss 0.334159 | avg 0.156386 | lr 2.75e-06 | 3:17:10 | ETA 1:41:34
235
+ Step 19900 | Ep 1 | loss 0.188370 | avg 0.157908 | lr 2.71e-06 | 3:18:09 | ETA 1:40:34
236
+ Step 20000 | Ep 1 | loss 0.110194 | avg 0.156688 | lr 2.66e-06 | 3:19:09 | ETA 1:39:34
237
+ [16:48:03] Checkpoint -> RESULTS/cub200/run_011/checkpoint-20000
238
+ [16:48:03] Generating 4 validation images ...
239
+ [16:48:09] Saved -> RESULTS/cub200/run_011/validation/collage_step_0020000.png
240
+ Step 20100 | Ep 1 | loss 0.060752 | avg 0.155485 | lr 2.61e-06 | 3:20:17 | ETA 1:38:38
241
+ Step 20200 | Ep 1 | loss 0.038144 | avg 0.152074 | lr 2.56e-06 | 3:21:16 | ETA 1:37:39
242
+ Step 20300 | Ep 1 | loss 0.050508 | avg 0.150171 | lr 2.52e-06 | 3:22:16 | ETA 1:36:39
243
+ Step 20400 | Ep 1 | loss 0.243963 | avg 0.150786 | lr 2.47e-06 | 3:23:15 | ETA 1:35:39
244
+ Step 20500 | Ep 1 | loss 0.028703 | avg 0.150899 | lr 2.42e-06 | 3:24:15 | ETA 1:34:39
245
+ Step 20600 | Ep 1 | loss 0.228626 | avg 0.152268 | lr 2.38e-06 | 3:25:14 | ETA 1:33:39
246
+ Step 20700 | Ep 2 | loss 0.149862 | avg 0.153161 | lr 2.33e-06 | 3:26:13 | ETA 1:32:39
247
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248
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249
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250
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251
+ Step 21200 | Ep 2 | loss 0.018489 | avg 0.149713 | lr 2.11e-06 | 3:31:11 | ETA 1:27:39
252
+ Step 21300 | Ep 2 | loss 0.039064 | avg 0.148543 | lr 2.06e-06 | 3:32:10 | ETA 1:26:39
253
+ Step 21400 | Ep 2 | loss 0.144309 | avg 0.149761 | lr 2.02e-06 | 3:33:09 | ETA 1:25:39
254
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255
+ Step 21600 | Ep 2 | loss 0.192007 | avg 0.152820 | lr 1.93e-06 | 3:35:08 | ETA 1:23:40
256
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257
+ Step 21800 | Ep 2 | loss 0.050152 | avg 0.151893 | lr 1.85e-06 | 3:37:07 | ETA 1:21:40
258
+ Step 21900 | Ep 2 | loss 0.116832 | avg 0.150358 | lr 1.80e-06 | 3:38:06 | ETA 1:20:40
259
+ Step 22000 | Ep 2 | loss 0.100401 | avg 0.146775 | lr 1.76e-06 | 3:39:05 | ETA 1:19:40
260
+ [17:07:57] Generating 4 validation images ...
261
+ [17:08:03] Saved -> RESULTS/cub200/run_011/validation/collage_step_0022000.png
262
+ Step 22100 | Ep 2 | loss 0.265665 | avg 0.148472 | lr 1.72e-06 | 3:40:11 | ETA 1:18:42
263
+ Step 22200 | Ep 2 | loss 0.044205 | avg 0.146100 | lr 1.68e-06 | 3:41:10 | ETA 1:17:42
264
+ Step 22300 | Ep 2 | loss 0.134613 | avg 0.145914 | lr 1.64e-06 | 3:42:09 | ETA 1:16:42
265
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266
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267
+ Step 22600 | Ep 2 | loss 0.100881 | avg 0.144122 | lr 1.52e-06 | 3:45:07 | ETA 1:13:42
268
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269
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270
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271
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272
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273
+ Step 23200 | Ep 2 | loss 0.071975 | avg 0.152140 | lr 1.30e-06 | 3:51:03 | ETA 1:07:43
274
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275
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276
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277
+ Step 23600 | Ep 2 | loss 0.088979 | avg 0.151570 | lr 1.15e-06 | 3:55:01 | ETA 1:03:44
278
+ Step 23700 | Ep 2 | loss 0.082923 | avg 0.151605 | lr 1.12e-06 | 3:56:00 | ETA 1:02:44
279
+ Step 23800 | Ep 2 | loss 0.146040 | avg 0.151567 | lr 1.09e-06 | 3:57:00 | ETA 1:01:44
280
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281
+ Step 24000 | Ep 2 | loss 0.207982 | avg 0.148893 | lr 1.02e-06 | 3:58:59 | ETA 0:59:44
282
+ [17:27:51] Generating 4 validation images ...
283
+ [17:27:56] Saved -> RESULTS/cub200/run_011/validation/collage_step_0024000.png
284
+ Step 24100 | Ep 2 | loss 0.448361 | avg 0.152528 | lr 9.87e-07 | 4:00:04 | ETA 0:58:46
285
+ Step 24200 | Ep 2 | loss 0.082407 | avg 0.150649 | lr 9.55e-07 | 4:01:04 | ETA 0:57:46
286
+ Step 24300 | Ep 2 | loss 0.114243 | avg 0.150047 | lr 9.23e-07 | 4:02:03 | ETA 0:56:46
287
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288
+ Step 24500 | Ep 2 | loss 0.359829 | avg 0.152847 | lr 8.62e-07 | 4:04:02 | ETA 0:54:47
289
+ Step 24600 | Ep 2 | loss 0.370355 | avg 0.153507 | lr 8.31e-07 | 4:05:01 | ETA 0:53:47
290
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291
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292
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293
+ Step 25000 | Ep 2 | loss 0.098544 | avg 0.147426 | lr 7.16e-07 | 4:08:59 | ETA 0:49:47
294
+ [17:37:53] Checkpoint -> RESULTS/cub200/run_011/checkpoint-25000
295
+ Step 25100 | Ep 2 | loss 0.270960 | avg 0.149796 | lr 6.88e-07 | 4:10:01 | ETA 0:48:48
296
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297
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298
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299
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300
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301
+ Step 25700 | Ep 2 | loss 0.153851 | avg 0.147159 | lr 5.33e-07 | 4:15:57 | ETA 0:42:49
302
+ Step 25800 | Ep 2 | loss 0.134916 | avg 0.146435 | lr 5.09e-07 | 4:16:57 | ETA 0:41:49
303
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304
+ Step 26000 | Ep 2 | loss 0.008306 | avg 0.146455 | lr 4.62e-07 | 4:18:55 | ETA 0:39:50
305
+ [17:47:47] Generating 4 validation images ...
306
+ [17:47:53] Saved -> RESULTS/cub200/run_011/validation/collage_step_0026000.png
307
+ Step 26100 | Ep 2 | loss 0.057421 | avg 0.145692 | lr 4.40e-07 | 4:20:01 | ETA 0:38:51
308
+ Step 26200 | Ep 2 | loss 0.233028 | avg 0.145111 | lr 4.18e-07 | 4:21:00 | ETA 0:37:51
309
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310
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311
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312
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313
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314
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315
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316
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317
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318
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319
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320
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321
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322
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323
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324
+ Step 27800 | Ep 2 | loss 0.034881 | avg 0.142077 | lr 1.41e-07 | 4:36:50 | ETA 0:21:54
325
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326
+ Step 28000 | Ep 2 | loss 0.016379 | avg 0.142357 | lr 1.17e-07 | 4:38:49 | ETA 0:19:54
327
+ [18:07:41] Generating 4 validation images ...
328
+ [18:07:47] Saved -> RESULTS/cub200/run_011/validation/collage_step_0028000.png
329
+ Step 28100 | Ep 2 | loss 0.064405 | avg 0.142194 | lr 1.06e-07 | 4:39:55 | ETA 0:18:55
330
+ Step 28200 | Ep 2 | loss 0.251111 | avg 0.144603 | lr 9.48e-08 | 4:40:54 | ETA 0:17:55
331
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332
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+ Step 29200 | Ep 2 | loss 0.181763 | avg 0.142109 | lr 1.88e-08 | 4:50:48 | ETA 0:07:58
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+ Step 30000 | Ep 2 | loss 0.245984 | avg 0.138026 | lr 0.00e+00 | 4:58:45 | ETA 0:00:00
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+ [18:27:39] Checkpoint -> RESULTS/cub200/run_011/checkpoint-30000
350
+ [18:27:39] Generating 4 validation images ...
351
+ [18:27:45] Saved -> RESULTS/cub200/run_011/validation/collage_step_0030000.png
352
+ [18:28:07] Final pipeline saved -> RESULTS/cub200/run_011
353
+ [18:28:07] SUMMARY: {'total_steps': 300, 'final_loss': 0.2459840476512909, 'avg_last_100': 0.13802587836049496, 'min_loss': 0.0008242569747380912, 'total_time': '4:59:15'}
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