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model_train_logs/ljs_base/G_160.pth
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model_train_logs/ljs_base/eval/events.out.tfevents.1746467570.2b9708671f79.19190.1
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model_train_logs/ljs_base/events.out.tfevents.1746467570.2b9708671f79.19190.0
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model_train_logs/ljs_base/train.log
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2025-05-05 18:02:23,376 ljs_base INFO Saving model and optimizer state at iteration 1 to ./logs/ljs_base/G_140.pth
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2025-05-05 18:02:55,034 ljs_base INFO successfully uploaded model logs to hugging face
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2025-05-05 18:02:55,036 ljs_base INFO Saving model and optimizer state at iteration 1 to ./logs/ljs_base/D_140.pth
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2025-05-05 18:02:23,376 ljs_base INFO Saving model and optimizer state at iteration 1 to ./logs/ljs_base/G_140.pth
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2025-05-05 18:02:55,034 ljs_base INFO successfully uploaded model logs to hugging face
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2025-05-05 18:02:55,036 ljs_base INFO Saving model and optimizer state at iteration 1 to ./logs/ljs_base/D_140.pth
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2025-05-05 18:03:37,193 ljs_base INFO successfully uploaded model logs to hugging face
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2025-05-05 18:03:38,381 ljs_base INFO Train Epoch: 1 [73%]
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2025-05-05 18:03:38,384 ljs_base INFO [4.698309421539307, 2.1787970066070557, 1.6340689659118652, 9.653132438659668, 1.625684380531311, 0.47980761528015137, 141, 0.0002]
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2025-05-05 18:03:39,777 ljs_base INFO Train Epoch: 1 [73%]
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2025-05-05 18:03:39,780 ljs_base INFO [4.694494724273682, 2.109424352645874, 1.7006750106811523, 10.847012519836426, 1.1263564825057983, 0.6800677180290222, 142, 0.0002]
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2025-05-05 18:03:41,159 ljs_base INFO Train Epoch: 1 [74%]
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2025-05-05 18:03:41,162 ljs_base INFO [4.495582103729248, 1.8751486539840698, 1.6749684810638428, 11.079060554504395, 1.5732994079589844, 0.6426903009414673, 143, 0.0002]
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2025-05-05 18:03:42,717 ljs_base INFO Train Epoch: 1 [74%]
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2025-05-05 18:03:42,719 ljs_base INFO [4.187676906585693, 1.6028178930282593, 1.5661499500274658, 10.605525970458984, 1.6592227220535278, 0.37376925349235535, 144, 0.0002]
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2025-05-05 18:03:44,334 ljs_base INFO Train Epoch: 1 [75%]
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2025-05-05 18:03:44,337 ljs_base INFO [3.889505386352539, 1.35561203956604, 1.3969956636428833, 11.416969299316406, 1.5200042724609375, 0.3959370255470276, 145, 0.0002]
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2025-05-05 18:03:46,179 ljs_base INFO Train Epoch: 1 [75%]
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2025-05-05 18:03:46,180 ljs_base INFO [3.6768579483032227, 1.1940083503723145, 1.2226427793502808, 10.900726318359375, 1.4812943935394287, 0.3522624969482422, 146, 0.0002]
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2025-05-05 18:03:48,237 ljs_base INFO Train Epoch: 1 [76%]
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2025-05-05 18:03:48,239 ljs_base INFO [3.6164801120758057, 1.1801893711090088, 1.0690374374389648, 9.724676132202148, 5.735792636871338, 0.44041189551353455, 147, 0.0002]
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2025-05-05 18:03:49,740 ljs_base INFO Train Epoch: 1 [76%]
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2025-05-05 18:03:49,744 ljs_base INFO [3.56876802444458, 1.2701178789138794, 0.931660532951355, 9.62992000579834, 5.519036293029785, 0.5657719969749451, 148, 0.0002]
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2025-05-05 18:03:51,253 ljs_base INFO Train Epoch: 1 [77%]
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2025-05-05 18:03:51,255 ljs_base INFO [3.4374284744262695, 1.4069111347198486, 0.8033415079116821, 9.103113174438477, 1.5291776657104492, 0.30799612402915955, 149, 0.0002]
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2025-05-05 18:03:53,215 ljs_base INFO Train Epoch: 1 [77%]
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2025-05-05 18:03:53,217 ljs_base INFO [3.32592511177063, 1.5378127098083496, 0.6799222230911255, 8.174484252929688, 1.8296902179718018, 0.21977688372135162, 150, 0.0002]
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2025-05-05 18:03:54,711 ljs_base INFO Train Epoch: 1 [78%]
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2025-05-05 18:03:54,714 ljs_base INFO [3.2705132961273193, 1.6199584007263184, 0.5802300572395325, 8.29753589630127, 1.5510427951812744, 0.3082980215549469, 151, 0.0002]
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2025-05-05 18:03:56,387 ljs_base INFO Train Epoch: 1 [78%]
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2025-05-05 18:03:56,389 ljs_base INFO [3.2417404651641846, 1.6439698934555054, 0.5117518901824951, 7.458212852478027, 1.650222659111023, 0.27762168645858765, 152, 0.0002]
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2025-05-05 18:03:57,848 ljs_base INFO Train Epoch: 1 [79%]
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2025-05-05 18:03:57,851 ljs_base INFO [3.2156569957733154, 1.623128056526184, 0.46047455072402954, 7.341423988342285, 1.6495269536972046, 0.6801819205284119, 153, 0.0002]
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2025-05-05 18:03:59,220 ljs_base INFO Train Epoch: 1 [79%]
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2025-05-05 18:03:59,222 ljs_base INFO [3.187741994857788, 1.5741182565689087, 0.43778470158576965, 7.16566801071167, 8.649673461914062, 0.6143443584442139, 154, 0.0002]
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2025-05-05 18:04:00,637 ljs_base INFO Train Epoch: 1 [80%]
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2025-05-05 18:04:00,639 ljs_base INFO [3.1623904705047607, 1.517863392829895, 0.432361900806427, 6.075009822845459, 1.4727051258087158, 0.32230955362319946, 155, 0.0002]
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2025-05-05 18:04:02,101 ljs_base INFO Train Epoch: 1 [80%]
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2025-05-05 18:04:02,103 ljs_base INFO [3.144522190093994, 1.4721161127090454, 0.44088834524154663, 6.3479084968566895, 1.4188209772109985, 0.37545379996299744, 156, 0.0002]
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2025-05-05 18:04:03,657 ljs_base INFO Train Epoch: 1 [81%]
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2025-05-05 18:04:03,660 ljs_base INFO [3.126246929168701, 1.45449697971344, 0.4278470277786255, 6.555774211883545, 1.7209391593933105, 0.5027123689651489, 157, 0.0002]
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2025-05-05 18:04:05,336 ljs_base INFO Train Epoch: 1 [81%]
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2025-05-05 18:04:05,338 ljs_base INFO [3.1080386638641357, 1.4616042375564575, 0.3960770070552826, 6.158506870269775, 1.372870922088623, 0.26902690529823303, 158, 0.0002]
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2025-05-05 18:04:07,009 ljs_base INFO Train Epoch: 1 [82%]
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2025-05-05 18:04:07,012 ljs_base INFO [3.0875368118286133, 1.4828615188598633, 0.36059126257896423, 6.170478820800781, 6.627243995666504, 0.6127078533172607, 159, 0.0002]
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2025-05-05 18:04:09,107 ljs_base INFO Train Epoch: 1 [82%]
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2025-05-05 18:04:09,109 ljs_base INFO [3.0643646717071533, 1.5115200281143188, 0.33215662837028503, 5.8415446281433105, 8.233338356018066, 0.6186693906784058, 160, 0.0002]
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2025-05-05 18:04:13,243 ljs_base INFO Saving model and optimizer state at iteration 1 to ./logs/ljs_base/G_160.pth
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