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model_train_logs/ljs_base/G_80.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 17:56:24,647 ljs_base INFO Saving model and optimizer state at iteration 1 to ./logs/ljs_base/G_60.pth
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2025-05-05 17:56:43,249 ljs_base INFO successfully uploaded model logs to hugging face
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2025-05-05 17:56:43,251 ljs_base INFO Saving model and optimizer state at iteration 1 to ./logs/ljs_base/D_60.pth
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2025-05-05 17:56:24,647 ljs_base INFO Saving model and optimizer state at iteration 1 to ./logs/ljs_base/G_60.pth
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2025-05-05 17:56:43,249 ljs_base INFO successfully uploaded model logs to hugging face
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2025-05-05 17:56:43,251 ljs_base INFO Saving model and optimizer state at iteration 1 to ./logs/ljs_base/D_60.pth
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2025-05-05 17:57:05,328 ljs_base INFO successfully uploaded model logs to hugging face
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2025-05-05 17:57:06,471 ljs_base INFO Train Epoch: 1 [31%]
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2025-05-05 17:57:06,474 ljs_base INFO [2.9562745094299316, 1.5616185665130615, 0.14969119429588318, 8.820564270019531, 1.4249615669250488, 1.3407940864562988, 61, 0.0002]
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2025-05-05 17:57:08,387 ljs_base INFO Train Epoch: 1 [32%]
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2025-05-05 17:57:08,389 ljs_base INFO [2.9701390266418457, 1.4699898958206177, 0.11285223066806793, 7.6500139236450195, 1.656528353691101, 1.3167686462402344, 62, 0.0002]
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2025-05-05 17:57:10,149 ljs_base INFO Train Epoch: 1 [32%]
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2025-05-05 17:57:10,151 ljs_base INFO [2.9952847957611084, 1.4915664196014404, 0.03464166447520256, 5.693182468414307, 1.5783436298370361, 1.474677324295044, 63, 0.0002]
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2025-05-05 17:57:11,983 ljs_base INFO Train Epoch: 1 [33%]
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2025-05-05 17:57:11,984 ljs_base INFO [3.0917043685913086, 1.5547739267349243, 0.1713588535785675, 7.063533782958984, 1.4126325845718384, 1.3102284669876099, 64, 0.0002]
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2025-05-05 17:57:13,611 ljs_base INFO Train Epoch: 1 [34%]
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2025-05-05 17:57:13,612 ljs_base INFO [3.1217269897460938, 1.4905437231063843, 0.2382560521364212, 6.602277755737305, 5.786942005157471, 1.2627449035644531, 65, 0.0002]
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2025-05-05 17:57:15,701 ljs_base INFO Train Epoch: 1 [34%]
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2025-05-05 17:57:15,702 ljs_base INFO [3.11810040473938, 1.4064643383026123, 0.2565712034702301, 7.801700592041016, 1.48935866355896, 1.4468516111373901, 66, 0.0002]
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2025-05-05 17:57:17,426 ljs_base INFO Train Epoch: 1 [35%]
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2025-05-05 17:57:17,429 ljs_base INFO [3.1155409812927246, 1.4889769554138184, 0.24722449481487274, 7.871736526489258, 1.255561113357544, 1.3263567686080933, 67, 0.0002]
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2025-05-05 17:57:18,941 ljs_base INFO Train Epoch: 1 [35%]
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2025-05-05 17:57:18,942 ljs_base INFO [3.095608949661255, 1.5808706283569336, 0.20030871033668518, 7.478889465332031, 1.5120697021484375, 1.3163180351257324, 68, 0.0002]
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2025-05-05 17:57:20,583 ljs_base INFO Train Epoch: 1 [36%]
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2025-05-05 17:57:20,585 ljs_base INFO [3.0664124488830566, 1.5425719022750854, 0.12691184878349304, 6.825439453125, 1.3358192443847656, 1.2883739471435547, 69, 0.0002]
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2025-05-05 17:57:21,999 ljs_base INFO Train Epoch: 1 [36%]
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2025-05-05 17:57:22,002 ljs_base INFO [3.039128303527832, 1.4811489582061768, 0.07019315659999847, 7.084752559661865, 1.2761561870574951, 1.0395331382751465, 70, 0.0002]
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2025-05-05 17:57:23,540 ljs_base INFO Train Epoch: 1 [37%]
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2025-05-05 17:57:23,543 ljs_base INFO [3.0237526893615723, 1.4904775619506836, 0.04172930121421814, 6.575912952423096, 6.3144049644470215, 1.3534430265426636, 71, 0.0002]
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2025-05-05 17:57:25,141 ljs_base INFO Train Epoch: 1 [37%]
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2025-05-05 17:57:25,143 ljs_base INFO [2.994091749191284, 1.4989382028579712, 0.023469513282179832, 6.570394992828369, 1.4941086769104004, 1.1119154691696167, 72, 0.0002]
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2025-05-05 17:57:27,099 ljs_base INFO Train Epoch: 1 [38%]
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2025-05-05 17:57:27,101 ljs_base INFO [3.0498790740966797, 1.4620064496994019, 0.10644872486591339, 6.843153953552246, 1.7661880254745483, 0.9552178382873535, 73, 0.0002]
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2025-05-05 17:57:28,564 ljs_base INFO Train Epoch: 1 [38%]
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2025-05-05 17:57:28,566 ljs_base INFO [3.0784263610839844, 1.4820417165756226, 0.16880880296230316, 7.407497406005859, 1.4794893264770508, 1.286929726600647, 74, 0.0002]
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2025-05-05 17:57:30,287 ljs_base INFO Train Epoch: 1 [39%]
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2025-05-05 17:57:30,288 ljs_base INFO [3.066965341567993, 1.4962793588638306, 0.14681178331375122, 6.257385730743408, 1.5406932830810547, 1.1617377996444702, 75, 0.0002]
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2025-05-05 17:57:32,404 ljs_base INFO Train Epoch: 1 [39%]
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2025-05-05 17:57:32,405 ljs_base INFO [3.0305120944976807, 1.4917631149291992, 0.0671938881278038, 6.099932670593262, 1.7809858322143555, 1.3149291276931763, 76, 0.0002]
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2025-05-05 17:57:34,035 ljs_base INFO Train Epoch: 1 [40%]
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2025-05-05 17:57:34,038 ljs_base INFO [2.98603892326355, 1.507036566734314, 0.04557010158896446, 6.465498924255371, 1.8281840085983276, 0.8854538798332214, 77, 0.0002]
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2025-05-05 17:57:35,849 ljs_base INFO Train Epoch: 1 [40%]
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2025-05-05 17:57:35,851 ljs_base INFO [2.9942374229431152, 1.5288513898849487, 0.03215337172150612, 5.676197528839111, 1.6081297397613525, 0.9206066131591797, 78, 0.0002]
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2025-05-05 17:57:37,419 ljs_base INFO Train Epoch: 1 [41%]
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2025-05-05 17:57:37,422 ljs_base INFO [3.049854278564453, 1.5325161218643188, 0.1141749918460846, 7.033334732055664, 1.750624179840088, 1.0519742965698242, 79, 0.0002]
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2025-05-05 17:57:39,140 ljs_base INFO Train Epoch: 1 [41%]
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2025-05-05 17:57:39,142 ljs_base INFO [3.0685627460479736, 1.5114502906799316, 0.15898391604423523, 7.571187496185303, 1.3303958177566528, 1.0994254350662231, 80, 0.0002]
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2025-05-05 17:57:43,768 ljs_base INFO Saving model and optimizer state at iteration 1 to ./logs/ljs_base/G_80.pth
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