File size: 61,518 Bytes

2025-05-05 17:52:50,263	ljs_base	INFO	{'train': {'log_interval': 1, 'eval_interval': 20, 'seed': 1234, 'epochs': 100, 'learning_rate': 0.0002, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 16, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 8192, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'training_files': '/kaggle/working/Dataset/text_cleaned.txt', 'validation_files': '/kaggle/working/Dataset/text_cleaned.txt', 'text_cleaners': ['english_cleaners2'], 'max_wav_value': 32768.0, 'sampling_rate': 16000, 'filter_length': 1024, 'hop_length': 256, 'win_length': 1024, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': None, 'add_blank': True, 'n_speakers': 0, 'cleaned_text': True}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0.1, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [8, 8, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False}, 'model_dir': './logs/ljs_base'}
2025-05-05 17:53:02,459	ljs_base	INFO	Train Epoch: 1 [0%]
2025-05-05 17:53:02,459	ljs_base	INFO	[6.018561840057373, 6.018398284912109, 0.1027739867568016, 142.0056915283203, 1.4764258861541748, 145.18780517578125, 0, 0.0002]
2025-05-05 17:53:06,762	ljs_base	INFO	Saving model and optimizer state at iteration 1 to ./logs/ljs_base/G_0.pth
2025-05-05 17:53:08,949	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 17:53:08,950	ljs_base	INFO	Saving model and optimizer state at iteration 1 to ./logs/ljs_base/D_0.pth
2025-05-05 17:53:10,642	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 17:53:12,648	ljs_base	INFO	Train Epoch: 1 [1%]
2025-05-05 17:53:12,649	ljs_base	INFO	[6.018562316894531, 6.018397331237793, 0.10279416292905807, 141.71343994140625, 1.4278995990753174, 144.21449279785156, 1, 0.0002]
2025-05-05 17:53:15,149	ljs_base	INFO	Train Epoch: 1 [1%]
2025-05-05 17:53:15,149	ljs_base	INFO	[6.018561363220215, 4.492798328399658, 0.10948508232831955, 141.8188934326172, 1.4182000160217285, 143.1675262451172, 2, 0.0002]
2025-05-05 17:53:17,988	ljs_base	INFO	Train Epoch: 1 [2%]
2025-05-05 17:53:17,989	ljs_base	INFO	[4.607318878173828, 2.7549033164978027, 0.12452930957078934, 141.8458709716797, 16.687938690185547, 152.52574157714844, 3, 0.0002]
2025-05-05 17:53:19,878	ljs_base	INFO	Train Epoch: 1 [2%]
2025-05-05 17:53:19,878	ljs_base	INFO	[3.4129600524902344, 0.9078654646873474, 0.15582503378391266, 141.32818603515625, 1.4220221042633057, 143.67507934570312, 4, 0.0002]
2025-05-05 17:53:21,731	ljs_base	INFO	Train Epoch: 1 [3%]
2025-05-05 17:53:21,731	ljs_base	INFO	[3.3822598457336426, 0.8118280172348022, 0.16155710816383362, 141.9066925048828, 1.458985686302185, 144.42466735839844, 5, 0.0002]
2025-05-05 17:53:24,167	ljs_base	INFO	Train Epoch: 1 [3%]
2025-05-05 17:53:24,167	ljs_base	INFO	[3.449300765991211, 1.4349852800369263, 0.15065903961658478, 141.61233520507812, 20.30019760131836, 152.5895233154297, 6, 0.0002]
2025-05-05 17:53:26,102	ljs_base	INFO	Train Epoch: 1 [4%]
2025-05-05 17:53:26,106	ljs_base	INFO	[3.1365647315979004, 2.0763912200927734, 0.14627452194690704, 141.53561401367188, 1.4040451049804688, 145.63174438476562, 7, 0.0002]
2025-05-05 17:53:27,948	ljs_base	INFO	Train Epoch: 1 [4%]
2025-05-05 17:53:27,948	ljs_base	INFO	[3.1772661209106445, 2.284156084060669, 0.14562813937664032, 131.00245666503906, 1.3389573097229004, 103.85468292236328, 8, 0.0002]
2025-05-05 17:53:29,668	ljs_base	INFO	Train Epoch: 1 [5%]
2025-05-05 17:53:29,670	ljs_base	INFO	[3.2052643299102783, 2.138948678970337, 0.15685337781906128, 131.10133361816406, 1.419830083847046, 102.13182830810547, 9, 0.0002]
2025-05-05 17:53:31,677	ljs_base	INFO	Train Epoch: 1 [5%]
2025-05-05 17:53:31,680	ljs_base	INFO	[3.133310317993164, 1.8021504878997803, 0.17051047086715698, 105.94888305664062, 1.281130313873291, 57.082672119140625, 10, 0.0002]
2025-05-05 17:53:33,819	ljs_base	INFO	Train Epoch: 1 [6%]
2025-05-05 17:53:33,822	ljs_base	INFO	[3.0664267539978027, 1.4784427881240845, 0.1845303177833557, 88.54429626464844, 1.3274266719818115, 40.58915710449219, 11, 0.0002]
2025-05-05 17:53:35,858	ljs_base	INFO	Train Epoch: 1 [6%]
2025-05-05 17:53:35,861	ljs_base	INFO	[3.0876901149749756, 1.376462459564209, 0.19864900410175323, 73.36725616455078, 6.254376411437988, 32.38939666748047, 12, 0.0002]
2025-05-05 17:53:37,570	ljs_base	INFO	Train Epoch: 1 [7%]
2025-05-05 17:53:37,572	ljs_base	INFO	[3.103196620941162, 1.5110870599746704, 0.19702355563640594, 61.19617462158203, 1.311363697052002, 26.18661117553711, 13, 0.0002]
2025-05-05 17:53:39,107	ljs_base	INFO	Train Epoch: 1 [7%]
2025-05-05 17:53:39,110	ljs_base	INFO	[3.051933765411377, 1.7306721210479736, 0.19068565964698792, 49.121219635009766, 1.4049031734466553, 20.57416343688965, 14, 0.0002]
2025-05-05 17:53:40,821	ljs_base	INFO	Train Epoch: 1 [8%]
2025-05-05 17:53:40,821	ljs_base	INFO	[3.0310564041137695, 1.859802484512329, 0.1903456598520279, 38.45808792114258, 1.3585727214813232, 16.434276580810547, 15, 0.0002]
2025-05-05 17:53:42,788	ljs_base	INFO	Train Epoch: 1 [8%]
2025-05-05 17:53:42,790	ljs_base	INFO	[3.040736675262451, 1.8170565366744995, 0.20563998818397522, 39.231712341308594, 1.6592307090759277, 16.50103759765625, 16, 0.0002]
2025-05-05 17:53:44,720	ljs_base	INFO	Train Epoch: 1 [9%]
2025-05-05 17:53:44,720	ljs_base	INFO	[3.0341176986694336, 1.640538215637207, 0.2128007411956787, 34.225341796875, 1.6905571222305298, 12.7410888671875, 17, 0.0002]
2025-05-05 17:53:46,276	ljs_base	INFO	Train Epoch: 1 [9%]
2025-05-05 17:53:46,279	ljs_base	INFO	[3.0109360218048096, 1.4748276472091675, 0.2349121868610382, 34.40999984741211, 1.4924198389053345, 12.786599159240723, 18, 0.0002]
2025-05-05 17:53:48,213	ljs_base	INFO	Train Epoch: 1 [10%]
2025-05-05 17:53:48,215	ljs_base	INFO	[3.0062661170959473, 1.4515424966812134, 0.2396698147058487, 28.09143829345703, 1.432823657989502, 10.864133834838867, 19, 0.0002]
2025-05-05 17:53:50,271	ljs_base	INFO	Train Epoch: 1 [10%]
2025-05-05 17:53:50,273	ljs_base	INFO	[3.005802631378174, 1.5710361003875732, 0.227133646607399, 22.69853401184082, 1.2438377141952515, 8.684934616088867, 20, 0.0002]
2025-05-05 17:53:53,648	ljs_base	INFO	Saving model and optimizer state at iteration 1 to ./logs/ljs_base/G_20.pth
2025-05-05 17:54:11,775	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 17:54:11,776	ljs_base	INFO	Saving model and optimizer state at iteration 1 to ./logs/ljs_base/D_20.pth
2025-05-05 17:54:32,343	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 17:54:33,605	ljs_base	INFO	Train Epoch: 1 [11%]
2025-05-05 17:54:33,606	ljs_base	INFO	[3.0018374919891357, 1.6989006996154785, 0.19545818865299225, 19.053592681884766, 1.4318674802780151, 6.777678966522217, 21, 0.0002]
2025-05-05 17:54:35,207	ljs_base	INFO	Train Epoch: 1 [11%]
2025-05-05 17:54:35,210	ljs_base	INFO	[3.0063982009887695, 1.722265601158142, 0.15802451968193054, 18.148300170898438, 1.5695111751556396, 5.16671895980835, 22, 0.0002]
2025-05-05 17:54:36,688	ljs_base	INFO	Train Epoch: 1 [12%]
2025-05-05 17:54:36,691	ljs_base	INFO	[3.0163867473602295, 1.6722583770751953, 0.13062864542007446, 17.736303329467773, 6.408626079559326, 4.247483730316162, 23, 0.0002]
2025-05-05 17:54:38,278	ljs_base	INFO	Train Epoch: 1 [12%]
2025-05-05 17:54:38,280	ljs_base	INFO	[3.008448600769043, 1.5980288982391357, 0.12793424725532532, 17.51765251159668, 4.963118076324463, 4.084692478179932, 24, 0.0002]
2025-05-05 17:54:39,938	ljs_base	INFO	Train Epoch: 1 [13%]
2025-05-05 17:54:39,939	ljs_base	INFO	[2.997208833694458, 1.5165939331054688, 0.15391016006469727, 15.327468872070312, 6.062425136566162, 3.369744062423706, 25, 0.0002]
2025-05-05 17:54:41,519	ljs_base	INFO	Train Epoch: 1 [13%]
2025-05-05 17:54:41,521	ljs_base	INFO	[2.9757654666900635, 1.5535764694213867, 0.20388945937156677, 14.409051895141602, 8.519695281982422, 2.992709159851074, 26, 0.0002]
2025-05-05 17:54:43,747	ljs_base	INFO	Train Epoch: 1 [14%]
2025-05-05 17:54:43,750	ljs_base	INFO	[2.964632987976074, 1.6734158992767334, 0.2156831920146942, 15.268569946289062, 1.60542893409729, 2.3365817070007324, 27, 0.0002]
2025-05-05 17:54:45,529	ljs_base	INFO	Train Epoch: 1 [14%]
2025-05-05 17:54:45,531	ljs_base	INFO	[2.9694020748138428, 1.550570011138916, 0.21361005306243896, 15.192338943481445, 1.6064603328704834, 2.700439453125, 28, 0.0002]
2025-05-05 17:54:47,663	ljs_base	INFO	Train Epoch: 1 [15%]
2025-05-05 17:54:47,664	ljs_base	INFO	[2.9765493869781494, 1.644416332244873, 0.18441054224967957, 14.356637954711914, 1.4042701721191406, 1.9137529134750366, 29, 0.0002]
2025-05-05 17:54:49,549	ljs_base	INFO	Train Epoch: 1 [15%]
2025-05-05 17:54:49,551	ljs_base	INFO	[2.9809701442718506, 1.5003687143325806, 0.17723694443702698, 12.994202613830566, 1.487183928489685, 1.9824130535125732, 30, 0.0002]
2025-05-05 17:54:51,261	ljs_base	INFO	Train Epoch: 1 [16%]
2025-05-05 17:54:51,264	ljs_base	INFO	[2.9761130809783936, 1.6256059408187866, 0.1691427081823349, 12.310629844665527, 1.3984218835830688, 2.1823627948760986, 31, 0.0002]
2025-05-05 17:54:52,989	ljs_base	INFO	Train Epoch: 1 [16%]
2025-05-05 17:54:52,991	ljs_base	INFO	[2.9735686779022217, 1.605614185333252, 0.15085066854953766, 11.896727561950684, 1.188720941543579, 2.310533046722412, 32, 0.0002]
2025-05-05 17:54:54,728	ljs_base	INFO	Train Epoch: 1 [17%]
2025-05-05 17:54:54,730	ljs_base	INFO	[2.9648454189300537, 1.5265182256698608, 0.16287332773208618, 11.539556503295898, 5.373753547668457, 1.9668813943862915, 33, 0.0002]
2025-05-05 17:54:56,567	ljs_base	INFO	Train Epoch: 1 [18%]
2025-05-05 17:54:56,569	ljs_base	INFO	[2.9776463508605957, 1.684190034866333, 0.13496407866477966, 10.73486042022705, 1.342848539352417, 1.8956702947616577, 34, 0.0002]
2025-05-05 17:54:58,200	ljs_base	INFO	Train Epoch: 1 [18%]
2025-05-05 17:54:58,202	ljs_base	INFO	[3.009528160095215, 1.4759966135025024, 0.10515092313289642, 9.897686958312988, 5.730860233306885, 2.0443172454833984, 35, 0.0002]
2025-05-05 17:54:59,925	ljs_base	INFO	Train Epoch: 1 [19%]
2025-05-05 17:54:59,928	ljs_base	INFO	[3.024514675140381, 1.6016924381256104, 0.07498496025800705, 8.513703346252441, 1.5074958801269531, 1.6513900756835938, 36, 0.0002]
2025-05-05 17:55:01,532	ljs_base	INFO	Train Epoch: 1 [19%]
2025-05-05 17:55:01,535	ljs_base	INFO	[3.01491379737854, 1.6308397054672241, 0.05130091309547424, 7.170348644256592, 12.264118194580078, 2.0309112071990967, 37, 0.0002]
2025-05-05 17:55:03,141	ljs_base	INFO	Train Epoch: 1 [20%]
2025-05-05 17:55:03,144	ljs_base	INFO	[3.021876335144043, 1.4003199338912964, 0.007211869582533836, 7.368470191955566, 1.3951539993286133, 1.8797566890716553, 38, 0.0002]
2025-05-05 17:55:05,085	ljs_base	INFO	Train Epoch: 1 [20%]
2025-05-05 17:55:05,087	ljs_base	INFO	[2.925360918045044, 1.5561692714691162, 0.2521965205669403, 12.195140838623047, 1.3062217235565186, 1.5791552066802979, 39, 0.0002]
2025-05-05 17:55:06,593	ljs_base	INFO	Train Epoch: 1 [21%]
2025-05-05 17:55:06,595	ljs_base	INFO	[2.846529245376587, 1.5801560878753662, 0.4510613679885864, 14.6407470703125, 5.611112594604492, 1.8248990774154663, 40, 0.0002]
2025-05-05 17:55:10,785	ljs_base	INFO	Saving model and optimizer state at iteration 1 to ./logs/ljs_base/G_40.pth
2025-05-05 17:55:26,247	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 17:55:26,248	ljs_base	INFO	Saving model and optimizer state at iteration 1 to ./logs/ljs_base/D_40.pth
2025-05-05 17:55:45,909	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 17:55:47,109	ljs_base	INFO	Train Epoch: 1 [21%]
2025-05-05 17:55:47,111	ljs_base	INFO	[2.7908880710601807, 1.6045432090759277, 0.6193360686302185, 15.124688148498535, 1.654461145401001, 1.6300816535949707, 41, 0.0002]
2025-05-05 17:55:48,693	ljs_base	INFO	Train Epoch: 1 [22%]
2025-05-05 17:55:48,696	ljs_base	INFO	[2.746835708618164, 1.6186163425445557, 0.7623418569564819, 15.656797409057617, 1.546645164489746, 1.5582308769226074, 42, 0.0002]
2025-05-05 17:55:50,572	ljs_base	INFO	Train Epoch: 1 [22%]
2025-05-05 17:55:50,573	ljs_base	INFO	[2.7052054405212402, 1.8948473930358887, 0.8729248046875, 14.813016891479492, 1.281327724456787, 1.5973654985427856, 43, 0.0002]
2025-05-05 17:55:52,319	ljs_base	INFO	Train Epoch: 1 [23%]
2025-05-05 17:55:52,321	ljs_base	INFO	[2.705343008041382, 1.4039113521575928, 1.0143226385116577, 14.28908920288086, 5.052796363830566, 1.9897321462631226, 44, 0.0002]
2025-05-05 17:55:53,903	ljs_base	INFO	Train Epoch: 1 [23%]
2025-05-05 17:55:53,905	ljs_base	INFO	[2.790250301361084, 2.1934804916381836, 1.020922064781189, 13.531218528747559, 1.446893334388733, 1.3586057424545288, 45, 0.0002]
2025-05-05 17:55:55,816	ljs_base	INFO	Train Epoch: 1 [24%]
2025-05-05 17:55:55,818	ljs_base	INFO	[2.974708318710327, 2.510280132293701, 0.8248361349105835, 12.585245132446289, 7.644986629486084, 1.7773635387420654, 46, 0.0002]
2025-05-05 17:55:57,521	ljs_base	INFO	Train Epoch: 1 [24%]
2025-05-05 17:55:57,524	ljs_base	INFO	[3.2954530715942383, 1.6868374347686768, 0.8120968341827393, 11.46259593963623, 1.8136245012283325, 1.7134535312652588, 47, 0.0002]
2025-05-05 17:55:59,655	ljs_base	INFO	Train Epoch: 1 [25%]
2025-05-05 17:55:59,657	ljs_base	INFO	[2.8804092407226562, 1.5126286745071411, 0.7620326280593872, 9.65492057800293, 1.3099796772003174, 1.5665326118469238, 48, 0.0002]
2025-05-05 17:56:01,396	ljs_base	INFO	Train Epoch: 1 [25%]
2025-05-05 17:56:01,399	ljs_base	INFO	[3.4151244163513184, 1.7569246292114258, 0.5364939570426941, 9.130488395690918, 1.3397995233535767, 1.7169795036315918, 49, 0.0002]
2025-05-05 17:56:03,177	ljs_base	INFO	Train Epoch: 1 [26%]
2025-05-05 17:56:03,179	ljs_base	INFO	[2.9584479331970215, 2.351346254348755, 0.3504447340965271, 8.473219871520996, 1.3509604930877686, 1.5138593912124634, 50, 0.0002]
2025-05-05 17:56:04,933	ljs_base	INFO	Train Epoch: 1 [26%]
2025-05-05 17:56:04,936	ljs_base	INFO	[3.1399319171905518, 1.877142071723938, 0.25823265314102173, 8.767388343811035, 1.375326156616211, 1.4548134803771973, 51, 0.0002]
2025-05-05 17:56:06,554	ljs_base	INFO	Train Epoch: 1 [27%]
2025-05-05 17:56:06,557	ljs_base	INFO	[3.178009033203125, 1.555356740951538, 0.15709975361824036, 8.161979675292969, 1.568284511566162, 1.4958739280700684, 52, 0.0002]
2025-05-05 17:56:08,339	ljs_base	INFO	Train Epoch: 1 [27%]
2025-05-05 17:56:08,341	ljs_base	INFO	[3.1205265522003174, 1.8184863328933716, 0.036501459777355194, 7.185966491699219, 1.6548430919647217, 1.6782745122909546, 53, 0.0002]
2025-05-05 17:56:10,084	ljs_base	INFO	Train Epoch: 1 [28%]
2025-05-05 17:56:10,087	ljs_base	INFO	[3.102931022644043, 1.6420446634292603, 0.14357951283454895, 8.248141288757324, 1.787711501121521, 1.239855408668518, 54, 0.0002]
2025-05-05 17:56:11,999	ljs_base	INFO	Train Epoch: 1 [28%]
2025-05-05 17:56:12,001	ljs_base	INFO	[3.1564576625823975, 1.262141227722168, 0.18203768134117126, 9.539188385009766, 1.599826693534851, 1.600468397140503, 55, 0.0002]
2025-05-05 17:56:13,547	ljs_base	INFO	Train Epoch: 1 [29%]
2025-05-05 17:56:13,550	ljs_base	INFO	[3.1136608123779297, 1.3133918046951294, 0.10225732624530792, 8.795431137084961, 1.6493525505065918, 1.3586242198944092, 56, 0.0002]
2025-05-05 17:56:15,438	ljs_base	INFO	Train Epoch: 1 [29%]
2025-05-05 17:56:15,440	ljs_base	INFO	[3.0215413570404053, 1.5719603300094604, 0.027671420946717262, 7.976304054260254, 1.4839613437652588, 1.2815008163452148, 57, 0.0002]
2025-05-05 17:56:17,248	ljs_base	INFO	Train Epoch: 1 [30%]
2025-05-05 17:56:17,250	ljs_base	INFO	[3.026548385620117, 1.6401050090789795, 0.02126423642039299, 6.695415496826172, 1.9269392490386963, 1.4895741939544678, 58, 0.0002]
2025-05-05 17:56:18,888	ljs_base	INFO	Train Epoch: 1 [30%]
2025-05-05 17:56:18,890	ljs_base	INFO	[2.972299337387085, 1.646256923675537, 0.1285756677389145, 8.080101013183594, 1.5850951671600342, 1.1480178833007812, 59, 0.0002]
2025-05-05 17:56:20,509	ljs_base	INFO	Train Epoch: 1 [31%]
2025-05-05 17:56:20,512	ljs_base	INFO	[2.969968795776367, 1.6284561157226562, 0.15587067604064941, 8.922523498535156, 1.506229281425476, 1.2807879447937012, 60, 0.0002]
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
2025-05-05 17:56:43,249	ljs_base	INFO	successfully uploaded model logs to hugging face
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
2025-05-05 17:57:05,328	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 17:57:06,471	ljs_base	INFO	Train Epoch: 1 [31%]
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]
2025-05-05 17:57:08,387	ljs_base	INFO	Train Epoch: 1 [32%]
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]
2025-05-05 17:57:10,149	ljs_base	INFO	Train Epoch: 1 [32%]
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]
2025-05-05 17:57:11,983	ljs_base	INFO	Train Epoch: 1 [33%]
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]
2025-05-05 17:57:13,611	ljs_base	INFO	Train Epoch: 1 [34%]
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]
2025-05-05 17:57:15,701	ljs_base	INFO	Train Epoch: 1 [34%]
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]
2025-05-05 17:57:17,426	ljs_base	INFO	Train Epoch: 1 [35%]
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]
2025-05-05 17:57:18,941	ljs_base	INFO	Train Epoch: 1 [35%]
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]
2025-05-05 17:57:20,583	ljs_base	INFO	Train Epoch: 1 [36%]
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]
2025-05-05 17:57:21,999	ljs_base	INFO	Train Epoch: 1 [36%]
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]
2025-05-05 17:57:23,540	ljs_base	INFO	Train Epoch: 1 [37%]
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]
2025-05-05 17:57:25,141	ljs_base	INFO	Train Epoch: 1 [37%]
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]
2025-05-05 17:57:27,099	ljs_base	INFO	Train Epoch: 1 [38%]
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]
2025-05-05 17:57:28,564	ljs_base	INFO	Train Epoch: 1 [38%]
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]
2025-05-05 17:57:30,287	ljs_base	INFO	Train Epoch: 1 [39%]
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]
2025-05-05 17:57:32,404	ljs_base	INFO	Train Epoch: 1 [39%]
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]
2025-05-05 17:57:34,035	ljs_base	INFO	Train Epoch: 1 [40%]
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]
2025-05-05 17:57:35,849	ljs_base	INFO	Train Epoch: 1 [40%]
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]
2025-05-05 17:57:37,419	ljs_base	INFO	Train Epoch: 1 [41%]
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]
2025-05-05 17:57:39,140	ljs_base	INFO	Train Epoch: 1 [41%]
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]
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
2025-05-05 17:58:07,886	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 17:58:07,887	ljs_base	INFO	Saving model and optimizer state at iteration 1 to ./logs/ljs_base/D_80.pth
2025-05-05 17:58:35,173	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 17:58:36,355	ljs_base	INFO	Train Epoch: 1 [42%]
2025-05-05 17:58:36,357	ljs_base	INFO	[3.061051368713379, 1.4702513217926025, 0.1409749686717987, 6.827573299407959, 5.5221848487854, 1.033007264137268, 81, 0.0002]
2025-05-05 17:58:38,076	ljs_base	INFO	Train Epoch: 1 [42%]
2025-05-05 17:58:38,077	ljs_base	INFO	[3.031203031539917, 1.4588121175765991, 0.07130257785320282, 4.958012104034424, 5.7739434242248535, 1.2918585538864136, 82, 0.0002]
2025-05-05 17:58:39,778	ljs_base	INFO	Train Epoch: 1 [43%]
2025-05-05 17:58:39,781	ljs_base	INFO	[2.9958932399749756, 1.4786179065704346, 0.020664433017373085, 5.896310329437256, 1.6683374643325806, 1.073912262916565, 83, 0.0002]
2025-05-05 17:58:41,341	ljs_base	INFO	Train Epoch: 1 [43%]
2025-05-05 17:58:41,342	ljs_base	INFO	[3.037442207336426, 1.5102510452270508, 0.08385662734508514, 6.00947904586792, 1.2507672309875488, 1.1967132091522217, 84, 0.0002]
2025-05-05 17:58:43,448	ljs_base	INFO	Train Epoch: 1 [44%]
2025-05-05 17:58:43,451	ljs_base	INFO	[3.0638813972473145, 1.5299822092056274, 0.15100955963134766, 6.344135761260986, 1.7448031902313232, 0.9987437129020691, 85, 0.0002]
2025-05-05 17:58:45,092	ljs_base	INFO	Train Epoch: 1 [44%]
2025-05-05 17:58:45,095	ljs_base	INFO	[3.065340995788574, 1.4976946115493774, 0.15425607562065125, 6.296521186828613, 1.3640605211257935, 0.9716498851776123, 86, 0.0002]
2025-05-05 17:58:46,618	ljs_base	INFO	Train Epoch: 1 [45%]
2025-05-05 17:58:46,620	ljs_base	INFO	[3.050140380859375, 1.477189540863037, 0.11793668568134308, 6.024113178253174, 1.5078086853027344, 0.9465570449829102, 87, 0.0002]
2025-05-05 17:58:48,256	ljs_base	INFO	Train Epoch: 1 [45%]
2025-05-05 17:58:48,257	ljs_base	INFO	[3.04186749458313, 1.4808002710342407, 0.10028192400932312, 5.845337390899658, 1.2334260940551758, 0.7468370795249939, 88, 0.0002]
2025-05-05 17:58:50,108	ljs_base	INFO	Train Epoch: 1 [46%]
2025-05-05 17:58:50,110	ljs_base	INFO	[3.0411901473999023, 1.4958573579788208, 0.09382224828004837, 5.744140148162842, 1.6349167823791504, 1.0540440082550049, 89, 0.0002]
2025-05-05 17:58:51,770	ljs_base	INFO	Train Epoch: 1 [46%]
2025-05-05 17:58:51,772	ljs_base	INFO	[3.03414249420166, 1.5073938369750977, 0.08454088866710663, 4.703907012939453, 1.6497973203659058, 1.1470178365707397, 90, 0.0002]
2025-05-05 17:58:53,239	ljs_base	INFO	Train Epoch: 1 [47%]
2025-05-05 17:58:53,241	ljs_base	INFO	[3.032106399536133, 1.500652551651001, 0.07666506618261337, 4.336126327514648, 1.646810531616211, 0.9433494210243225, 91, 0.0002]
2025-05-05 17:58:54,628	ljs_base	INFO	Train Epoch: 1 [47%]
2025-05-05 17:58:54,631	ljs_base	INFO	[3.022113561630249, 1.473681092262268, 0.05554334074258804, 5.192330837249756, 6.492942810058594, 0.8630755543708801, 92, 0.0002]
2025-05-05 17:58:56,327	ljs_base	INFO	Train Epoch: 1 [48%]
2025-05-05 17:58:56,330	ljs_base	INFO	[3.0083107948303223, 1.4900743961334229, 0.01870901510119438, 5.030595302581787, 1.738654375076294, 0.9752572178840637, 93, 0.0002]
2025-05-05 17:58:58,459	ljs_base	INFO	Train Epoch: 1 [48%]
2025-05-05 17:58:58,461	ljs_base	INFO	[2.9893906116485596, 1.4747071266174316, 0.031101681292057037, 5.673508644104004, 1.4956879615783691, 0.8193911910057068, 94, 0.0002]
2025-05-05 17:59:00,259	ljs_base	INFO	Train Epoch: 1 [49%]
2025-05-05 17:59:00,259	ljs_base	INFO	[3.0022900104522705, 1.5426058769226074, 0.003966152667999268, 3.229840040206909, 5.821700096130371, 1.0742336511611938, 95, 0.0002]
2025-05-05 17:59:02,290	ljs_base	INFO	Train Epoch: 1 [49%]
2025-05-05 17:59:02,292	ljs_base	INFO	[3.0025851726531982, 1.498946189880371, 0.004122067708522081, 3.178632974624634, 1.5030863285064697, 0.6720007658004761, 96, 0.0002]
2025-05-05 17:59:03,995	ljs_base	INFO	Train Epoch: 1 [50%]
2025-05-05 17:59:03,996	ljs_base	INFO	[2.885011911392212, 1.4959299564361572, 0.32406988739967346, 9.75065803527832, 1.687860369682312, 0.9189363718032837, 97, 0.0002]
2025-05-05 17:59:05,795	ljs_base	INFO	Train Epoch: 1 [51%]
2025-05-05 17:59:05,797	ljs_base	INFO	[2.796525716781616, 1.516547441482544, 0.596218466758728, 12.146432876586914, 1.2439377307891846, 0.8448354005813599, 98, 0.0002]
2025-05-05 17:59:07,528	ljs_base	INFO	Train Epoch: 1 [51%]
2025-05-05 17:59:07,530	ljs_base	INFO	[2.710233211517334, 1.5525331497192383, 0.8610819578170776, 13.428471565246582, 1.6913578510284424, 0.9297411441802979, 99, 0.0002]
2025-05-05 17:59:09,033	ljs_base	INFO	Train Epoch: 1 [52%]
2025-05-05 17:59:09,035	ljs_base	INFO	[2.6210274696350098, 1.62288236618042, 1.1389706134796143, 14.473423957824707, 1.6372995376586914, 0.8206064701080322, 100, 0.0002]
2025-05-05 17:59:13,965	ljs_base	INFO	Saving model and optimizer state at iteration 1 to ./logs/ljs_base/G_100.pth
2025-05-05 17:59:38,857	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 17:59:38,859	ljs_base	INFO	Saving model and optimizer state at iteration 1 to ./logs/ljs_base/D_100.pth
2025-05-05 18:00:07,960	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 18:00:09,203	ljs_base	INFO	Train Epoch: 1 [52%]
2025-05-05 18:00:09,205	ljs_base	INFO	[2.5265121459960938, 1.7022755146026611, 1.4536093473434448, 15.73206901550293, 1.7172834873199463, 0.7100825905799866, 101, 0.0002]
2025-05-05 18:00:11,033	ljs_base	INFO	Train Epoch: 1 [53%]
2025-05-05 18:00:11,035	ljs_base	INFO	[2.4177985191345215, 1.7830888032913208, 1.8213996887207031, 14.971091270446777, 1.574304223060608, 0.8242190480232239, 102, 0.0002]
2025-05-05 18:00:13,240	ljs_base	INFO	Train Epoch: 1 [53%]
2025-05-05 18:00:13,243	ljs_base	INFO	[2.287275791168213, 1.9328430891036987, 2.2398715019226074, 15.573556900024414, 1.6893014907836914, 0.6593844294548035, 103, 0.0002]
2025-05-05 18:00:14,845	ljs_base	INFO	Train Epoch: 1 [54%]
2025-05-05 18:00:14,848	ljs_base	INFO	[2.134890556335449, 2.1394357681274414, 2.7924413681030273, 15.257841110229492, 1.4303739070892334, 0.4523646831512451, 104, 0.0002]
2025-05-05 18:00:16,442	ljs_base	INFO	Train Epoch: 1 [54%]
2025-05-05 18:00:16,445	ljs_base	INFO	[1.9466032981872559, 2.355452299118042, 3.573514461517334, 14.971921920776367, 1.6008317470550537, 0.7938840389251709, 105, 0.0002]
2025-05-05 18:00:17,994	ljs_base	INFO	Train Epoch: 1 [55%]
2025-05-05 18:00:17,997	ljs_base	INFO	[1.720081090927124, 3.356327533721924, 4.586997032165527, 15.41948413848877, 1.3400558233261108, 1.011307954788208, 106, 0.0002]
2025-05-05 18:00:19,562	ljs_base	INFO	Train Epoch: 1 [55%]
2025-05-05 18:00:19,564	ljs_base	INFO	[2.5176422595977783, 3.9433608055114746, 5.074440002441406, 14.882328033447266, 10.253067970275879, 0.9709552526473999, 107, 0.0002]
2025-05-05 18:00:21,018	ljs_base	INFO	Train Epoch: 1 [56%]
2025-05-05 18:00:21,021	ljs_base	INFO	[4.258041858673096, 6.544132709503174, 4.089920997619629, 14.20022964477539, 1.335882544517517, 0.749904215335846, 108, 0.0002]
2025-05-05 18:00:22,768	ljs_base	INFO	Train Epoch: 1 [56%]
2025-05-05 18:00:22,770	ljs_base	INFO	[4.4014458656311035, 3.63260817527771, 5.29088020324707, 13.772969245910645, 5.68809175491333, 0.7858304381370544, 109, 0.0002]
2025-05-05 18:00:24,384	ljs_base	INFO	Train Epoch: 1 [57%]
2025-05-05 18:00:24,387	ljs_base	INFO	[5.259451866149902, 3.4706146717071533, 5.347105979919434, 13.656996726989746, 1.5260076522827148, 1.021790623664856, 110, 0.0002]
2025-05-05 18:00:25,855	ljs_base	INFO	Train Epoch: 1 [57%]
2025-05-05 18:00:25,857	ljs_base	INFO	[6.4505510330200195, 4.436319351196289, 4.3834052085876465, 13.500685691833496, 5.318606853485107, 1.0177700519561768, 111, 0.0002]
2025-05-05 18:00:27,307	ljs_base	INFO	Train Epoch: 1 [58%]
2025-05-05 18:00:27,310	ljs_base	INFO	[3.089743137359619, 5.5054779052734375, 3.1925394535064697, 12.135333061218262, 1.459385871887207, 0.8081493377685547, 112, 0.0002]
2025-05-05 18:00:29,405	ljs_base	INFO	Train Epoch: 1 [58%]
2025-05-05 18:00:29,406	ljs_base	INFO	[3.6605031490325928, 3.3975777626037598, 3.4597511291503906, 10.949758529663086, 1.5226967334747314, 0.8637263774871826, 113, 0.0002]
2025-05-05 18:00:31,161	ljs_base	INFO	Train Epoch: 1 [59%]
2025-05-05 18:00:31,163	ljs_base	INFO	[5.309996128082275, 4.350191593170166, 2.01529598236084, 10.388535499572754, 1.9177141189575195, 0.6283393502235413, 114, 0.0002]
2025-05-05 18:00:32,666	ljs_base	INFO	Train Epoch: 1 [59%]
2025-05-05 18:00:32,669	ljs_base	INFO	[3.811511754989624, 4.309439182281494, 1.5596604347229004, 9.448118209838867, 1.809372067451477, 0.5516508221626282, 115, 0.0002]
2025-05-05 18:00:34,179	ljs_base	INFO	Train Epoch: 1 [60%]
2025-05-05 18:00:34,181	ljs_base	INFO	[4.159165382385254, 3.498198986053467, 1.4550896883010864, 9.283924102783203, 1.456955075263977, 0.6656620502471924, 116, 0.0002]
2025-05-05 18:00:35,647	ljs_base	INFO	Train Epoch: 1 [60%]
2025-05-05 18:00:35,648	ljs_base	INFO	[3.9298484325408936, 3.434460401535034, 1.3456065654754639, 9.131404876708984, 13.143198013305664, 0.9320539832115173, 117, 0.0002]
2025-05-05 18:00:37,497	ljs_base	INFO	Train Epoch: 1 [61%]
2025-05-05 18:00:37,499	ljs_base	INFO	[3.575517416000366, 3.3450567722320557, 1.320235252380371, 8.738743782043457, 1.4634900093078613, 0.5329582095146179, 118, 0.0002]
2025-05-05 18:00:39,138	ljs_base	INFO	Train Epoch: 1 [61%]
2025-05-05 18:00:39,139	ljs_base	INFO	[3.320641040802002, 2.772510528564453, 1.3645786046981812, 8.038806915283203, 9.763829231262207, 0.6080179214477539, 119, 0.0002]
2025-05-05 18:00:40,747	ljs_base	INFO	Train Epoch: 1 [62%]
2025-05-05 18:00:40,749	ljs_base	INFO	[3.258096218109131, 2.762122631072998, 1.4541637897491455, 7.467403411865234, 1.3473947048187256, 0.8704977631568909, 120, 0.0002]
2025-05-05 18:00:44,597	ljs_base	INFO	Saving model and optimizer state at iteration 1 to ./logs/ljs_base/G_120.pth
2025-05-05 18:01:14,014	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 18:01:14,015	ljs_base	INFO	Saving model and optimizer state at iteration 1 to ./logs/ljs_base/D_120.pth
2025-05-05 18:01:45,130	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 18:01:46,341	ljs_base	INFO	Train Epoch: 1 [62%]
2025-05-05 18:01:46,343	ljs_base	INFO	[2.9111931324005127, 2.282926321029663, 1.5701361894607544, 7.482145309448242, 1.5327293872833252, 0.5173229575157166, 121, 0.0002]
2025-05-05 18:01:48,206	ljs_base	INFO	Train Epoch: 1 [63%]
2025-05-05 18:01:48,209	ljs_base	INFO	[2.596050500869751, 1.7407230138778687, 1.7151153087615967, 7.225488662719727, 4.899815559387207, 0.6703136563301086, 122, 0.0002]
2025-05-05 18:01:49,928	ljs_base	INFO	Train Epoch: 1 [63%]
2025-05-05 18:01:49,930	ljs_base	INFO	[2.559300184249878, 2.0925981998443604, 1.807260274887085, 6.522465229034424, 7.186161041259766, 0.7980203628540039, 123, 0.0002]
2025-05-05 18:01:51,356	ljs_base	INFO	Train Epoch: 1 [64%]
2025-05-05 18:01:51,359	ljs_base	INFO	[2.546186923980713, 1.7001811265945435, 1.8932054042816162, 6.133489608764648, 1.2740808725357056, 0.7501705288887024, 124, 0.0002]
2025-05-05 18:01:52,883	ljs_base	INFO	Train Epoch: 1 [64%]
2025-05-05 18:01:52,886	ljs_base	INFO	[2.5651631355285645, 2.0863845348358154, 1.9386634826660156, 6.7427568435668945, 4.820178031921387, 0.44574663043022156, 125, 0.0002]
2025-05-05 18:01:54,306	ljs_base	INFO	Train Epoch: 1 [65%]
2025-05-05 18:01:54,309	ljs_base	INFO	[2.431107521057129, 2.044930934906006, 1.9863290786743164, 6.500344276428223, 1.3971890211105347, 0.7104176878929138, 126, 0.0002]
2025-05-05 18:01:55,833	ljs_base	INFO	Train Epoch: 1 [65%]
2025-05-05 18:01:55,836	ljs_base	INFO	[2.3448355197906494, 2.126628875732422, 2.074087142944336, 6.32414436340332, 1.7006077766418457, 0.6233944296836853, 127, 0.0002]
2025-05-05 18:01:57,641	ljs_base	INFO	Train Epoch: 1 [66%]
2025-05-05 18:01:57,645	ljs_base	INFO	[2.356778621673584, 2.6350674629211426, 2.051837682723999, 6.225980281829834, 1.1750497817993164, 1.0267252922058105, 128, 0.0002]
2025-05-05 18:01:59,044	ljs_base	INFO	Train Epoch: 1 [66%]
2025-05-05 18:01:59,046	ljs_base	INFO	[2.453277826309204, 1.7642104625701904, 2.019958019256592, 5.652679920196533, 6.780621528625488, 0.783985435962677, 129, 0.0002]
2025-05-05 18:02:00,855	ljs_base	INFO	Train Epoch: 1 [67%]
2025-05-05 18:02:00,857	ljs_base	INFO	[2.590053081512451, 2.527052402496338, 1.937911868095398, 4.810258388519287, 5.97159481048584, 0.685762345790863, 130, 0.0002]
2025-05-05 18:02:02,847	ljs_base	INFO	Train Epoch: 1 [68%]
2025-05-05 18:02:02,850	ljs_base	INFO	[2.460991382598877, 2.1044747829437256, 1.9610531330108643, 5.2481184005737305, 1.9108682870864868, 0.6888183951377869, 131, 0.0002]
2025-05-05 18:02:04,339	ljs_base	INFO	Train Epoch: 1 [68%]
2025-05-05 18:02:04,341	ljs_base	INFO	[2.3781466484069824, 1.9781690835952759, 1.5937323570251465, 5.168423175811768, 1.7469749450683594, 0.5129508972167969, 132, 0.0002]
2025-05-05 18:02:06,254	ljs_base	INFO	Train Epoch: 1 [69%]
2025-05-05 18:02:06,256	ljs_base	INFO	[2.7541451454162598, 1.7589491605758667, 1.7475476264953613, 4.577901363372803, 1.8635056018829346, 0.4956398606300354, 133, 0.0002]
2025-05-05 18:02:07,998	ljs_base	INFO	Train Epoch: 1 [69%]
2025-05-05 18:02:08,001	ljs_base	INFO	[3.3392715454101562, 2.834071636199951, 1.1962354183197021, 4.253650665283203, 1.7934743165969849, 0.4344401955604553, 134, 0.0002]
2025-05-05 18:02:09,637	ljs_base	INFO	Train Epoch: 1 [70%]
2025-05-05 18:02:09,639	ljs_base	INFO	[3.1007442474365234, 2.444707155227661, 0.9417715072631836, 4.120265483856201, 4.102392673492432, 0.5725632309913635, 135, 0.0002]
2025-05-05 18:02:11,709	ljs_base	INFO	Train Epoch: 1 [70%]
2025-05-05 18:02:11,711	ljs_base	INFO	[3.3273470401763916, 2.626911163330078, 0.7876914739608765, 4.740426063537598, 1.5203933715820312, 0.47897350788116455, 136, 0.0002]
2025-05-05 18:02:13,467	ljs_base	INFO	Train Epoch: 1 [71%]
2025-05-05 18:02:13,468	ljs_base	INFO	[3.349292039871216, 2.743135690689087, 0.5831822156906128, 4.588160991668701, 6.148318767547607, 0.41597872972488403, 137, 0.0002]
2025-05-05 18:02:14,987	ljs_base	INFO	Train Epoch: 1 [71%]
2025-05-05 18:02:14,989	ljs_base	INFO	[3.4684715270996094, 2.3115427494049072, 0.3176538944244385, 4.379278182983398, 7.641364097595215, 0.5674377083778381, 138, 0.0002]
2025-05-05 18:02:16,551	ljs_base	INFO	Train Epoch: 1 [72%]
2025-05-05 18:02:16,554	ljs_base	INFO	[3.5632708072662354, 2.2907822132110596, 0.01433576550334692, 2.5739593505859375, 1.534172534942627, 0.4871585965156555, 139, 0.0002]
2025-05-05 18:02:18,291	ljs_base	INFO	Train Epoch: 1 [72%]
2025-05-05 18:02:18,294	ljs_base	INFO	[4.377223968505859, 2.165910243988037, 1.3028051853179932, 7.820856094360352, 1.4566068649291992, 0.6243259310722351, 140, 0.0002]
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
2025-05-05 18:02:55,034	ljs_base	INFO	successfully uploaded model logs to hugging face
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
2025-05-05 18:03:37,193	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 18:03:38,381	ljs_base	INFO	Train Epoch: 1 [73%]
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]
2025-05-05 18:03:39,777	ljs_base	INFO	Train Epoch: 1 [73%]
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]
2025-05-05 18:03:41,159	ljs_base	INFO	Train Epoch: 1 [74%]
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]
2025-05-05 18:03:42,717	ljs_base	INFO	Train Epoch: 1 [74%]
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]
2025-05-05 18:03:44,334	ljs_base	INFO	Train Epoch: 1 [75%]
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]
2025-05-05 18:03:46,179	ljs_base	INFO	Train Epoch: 1 [75%]
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]
2025-05-05 18:03:48,237	ljs_base	INFO	Train Epoch: 1 [76%]
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]
2025-05-05 18:03:49,740	ljs_base	INFO	Train Epoch: 1 [76%]
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]
2025-05-05 18:03:51,253	ljs_base	INFO	Train Epoch: 1 [77%]
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]
2025-05-05 18:03:53,215	ljs_base	INFO	Train Epoch: 1 [77%]
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]
2025-05-05 18:03:54,711	ljs_base	INFO	Train Epoch: 1 [78%]
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]
2025-05-05 18:03:56,387	ljs_base	INFO	Train Epoch: 1 [78%]
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]
2025-05-05 18:03:57,848	ljs_base	INFO	Train Epoch: 1 [79%]
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]
2025-05-05 18:03:59,220	ljs_base	INFO	Train Epoch: 1 [79%]
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]
2025-05-05 18:04:00,637	ljs_base	INFO	Train Epoch: 1 [80%]
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]
2025-05-05 18:04:02,101	ljs_base	INFO	Train Epoch: 1 [80%]
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]
2025-05-05 18:04:03,657	ljs_base	INFO	Train Epoch: 1 [81%]
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]
2025-05-05 18:04:05,336	ljs_base	INFO	Train Epoch: 1 [81%]
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]
2025-05-05 18:04:07,009	ljs_base	INFO	Train Epoch: 1 [82%]
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]
2025-05-05 18:04:09,107	ljs_base	INFO	Train Epoch: 1 [82%]
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]
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
2025-05-05 18:04:49,938	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 18:04:49,939	ljs_base	INFO	Saving model and optimizer state at iteration 1 to ./logs/ljs_base/D_160.pth
2025-05-05 18:05:30,095	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 18:05:31,136	ljs_base	INFO	Train Epoch: 1 [83%]
2025-05-05 18:05:31,139	ljs_base	INFO	[3.0418660640716553, 1.5399991273880005, 0.3291172385215759, 5.42634916305542, 1.732948660850525, 0.39046144485473633, 161, 0.0002]
2025-05-05 18:05:32,747	ljs_base	INFO	Train Epoch: 1 [84%]
2025-05-05 18:05:32,749	ljs_base	INFO	[3.023077964782715, 1.573091983795166, 0.34947383403778076, 5.882019519805908, 1.5479474067687988, 0.3814356327056885, 162, 0.0002]
2025-05-05 18:05:34,574	ljs_base	INFO	Train Epoch: 1 [84%]
2025-05-05 18:05:34,575	ljs_base	INFO	[3.0028934478759766, 1.603542447090149, 0.36484748125076294, 5.961763381958008, 6.2350616455078125, 0.5620027780532837, 163, 0.0002]
2025-05-05 18:05:36,157	ljs_base	INFO	Train Epoch: 1 [85%]
2025-05-05 18:05:36,160	ljs_base	INFO	[2.980703830718994, 1.6060770750045776, 0.36901891231536865, 5.527708053588867, 1.4155070781707764, 0.3401924669742584, 164, 0.0002]
2025-05-05 18:05:37,782	ljs_base	INFO	Train Epoch: 1 [85%]
2025-05-05 18:05:37,784	ljs_base	INFO	[2.955742359161377, 1.5877825021743774, 0.393572598695755, 5.0957865715026855, 1.2199897766113281, 0.20243918895721436, 165, 0.0002]
2025-05-05 18:05:39,279	ljs_base	INFO	Train Epoch: 1 [86%]
2025-05-05 18:05:39,282	ljs_base	INFO	[2.927147388458252, 1.5659440755844116, 0.4527006149291992, 5.22573184967041, 1.7339531183242798, 0.24942082166671753, 166, 0.0002]
2025-05-05 18:05:40,804	ljs_base	INFO	Train Epoch: 1 [86%]
2025-05-05 18:05:40,807	ljs_base	INFO	[2.897972583770752, 1.5806159973144531, 0.5112163424491882, 5.3576202392578125, 1.690617561340332, 0.28755757212638855, 167, 0.0002]
2025-05-05 18:05:42,276	ljs_base	INFO	Train Epoch: 1 [87%]
2025-05-05 18:05:42,279	ljs_base	INFO	[2.8693935871124268, 1.5736435651779175, 0.5637096762657166, 4.938267707824707, 1.4923601150512695, 0.3808019161224365, 168, 0.0002]
2025-05-05 18:05:44,232	ljs_base	INFO	Train Epoch: 1 [87%]
2025-05-05 18:05:44,234	ljs_base	INFO	[2.841859817504883, 1.6261484622955322, 0.618266224861145, 5.229122638702393, 1.5973584651947021, 0.36997655034065247, 169, 0.0002]
2025-05-05 18:05:45,980	ljs_base	INFO	Train Epoch: 1 [88%]
2025-05-05 18:05:45,983	ljs_base	INFO	[2.8060011863708496, 1.64201021194458, 0.6863368153572083, 5.344178199768066, 1.7859952449798584, 0.30969658493995667, 170, 0.0002]
2025-05-05 18:05:47,509	ljs_base	INFO	Train Epoch: 1 [88%]
2025-05-05 18:05:47,512	ljs_base	INFO	[2.7608225345611572, 1.6954094171524048, 0.7994415760040283, 5.515942096710205, 1.636344313621521, 0.3658967912197113, 171, 0.0002]
2025-05-05 18:05:49,319	ljs_base	INFO	Train Epoch: 1 [89%]
2025-05-05 18:05:49,322	ljs_base	INFO	[2.726259469985962, 1.6971211433410645, 0.8635724186897278, 4.92130708694458, 1.5840317010879517, 0.4369526207447052, 172, 0.0002]
2025-05-05 18:05:50,730	ljs_base	INFO	Train Epoch: 1 [89%]
2025-05-05 18:05:50,733	ljs_base	INFO	[2.699246883392334, 1.7886050939559937, 0.9322890043258667, 4.866266250610352, 1.2624437808990479, 0.5991414785385132, 173, 0.0002]
2025-05-05 18:05:52,478	ljs_base	INFO	Train Epoch: 1 [90%]
2025-05-05 18:05:52,481	ljs_base	INFO	[2.6559276580810547, 1.6137144565582275, 1.0234555006027222, 5.355414390563965, 1.7245702743530273, 0.4654744267463684, 174, 0.0002]
2025-05-05 18:05:54,061	ljs_base	INFO	Train Epoch: 1 [90%]
2025-05-05 18:05:54,062	ljs_base	INFO	[2.6275556087493896, 1.9883880615234375, 1.151869535446167, 5.604585647583008, 1.739180326461792, 0.25101178884506226, 175, 0.0002]
2025-05-05 18:05:55,903	ljs_base	INFO	Train Epoch: 1 [91%]
2025-05-05 18:05:55,904	ljs_base	INFO	[2.6351187229156494, 1.6780433654785156, 1.239870309829712, 5.157953262329102, 1.8872120380401611, 0.2761855721473694, 176, 0.0002]
2025-05-05 18:05:57,378	ljs_base	INFO	Train Epoch: 1 [91%]
2025-05-05 18:05:57,381	ljs_base	INFO	[2.616100311279297, 1.7799626588821411, 1.253382682800293, 5.2463579177856445, 1.6302704811096191, 0.46183931827545166, 177, 0.0002]
2025-05-05 18:05:59,313	ljs_base	INFO	Train Epoch: 1 [92%]
2025-05-05 18:05:59,316	ljs_base	INFO	[2.557147979736328, 2.028689384460449, 1.3242473602294922, 5.121821403503418, 1.5780370235443115, 0.22033283114433289, 178, 0.0002]
2025-05-05 18:06:01,006	ljs_base	INFO	Train Epoch: 1 [92%]
2025-05-05 18:06:01,008	ljs_base	INFO	[2.514191150665283, 1.6776982545852661, 1.4565609693527222, 4.810540676116943, 1.6611096858978271, 0.4399324655532837, 179, 0.0002]
2025-05-05 18:06:02,389	ljs_base	INFO	Train Epoch: 1 [93%]
2025-05-05 18:06:02,392	ljs_base	INFO	[2.5310416221618652, 2.1981704235076904, 1.4687528610229492, 4.63303279876709, 1.3821239471435547, 0.5099180936813354, 180, 0.0002]
2025-05-05 18:06:06,657	ljs_base	INFO	Saving model and optimizer state at iteration 1 to ./logs/ljs_base/G_180.pth
2025-05-05 18:06:43,824	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 18:06:43,826	ljs_base	INFO	Saving model and optimizer state at iteration 1 to ./logs/ljs_base/D_180.pth
2025-05-05 18:07:26,201	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 18:07:27,357	ljs_base	INFO	Train Epoch: 1 [93%]
2025-05-05 18:07:27,360	ljs_base	INFO	[2.642025947570801, 1.7999855279922485, 1.421520471572876, 4.741596221923828, 8.552197456359863, 0.1909891813993454, 181, 0.0002]
2025-05-05 18:07:28,838	ljs_base	INFO	Train Epoch: 1 [94%]
2025-05-05 18:07:28,841	ljs_base	INFO	[2.733736038208008, 2.040905714035034, 1.461595058441162, 4.9324235916137695, 1.6569243669509888, 0.2981116771697998, 182, 0.0002]
2025-05-05 18:07:30,529	ljs_base	INFO	Train Epoch: 1 [94%]
2025-05-05 18:07:30,530	ljs_base	INFO	[2.584207057952881, 2.172734498977661, 1.4981180429458618, 4.7210373878479, 1.7818348407745361, 0.37265774607658386, 183, 0.0002]
2025-05-05 18:07:32,002	ljs_base	INFO	Train Epoch: 1 [95%]
2025-05-05 18:07:32,004	ljs_base	INFO	[2.538821220397949, 1.5583127737045288, 1.4282732009887695, 4.619012832641602, 1.3608475923538208, -0.09821545332670212, 184, 0.0002]
2025-05-05 18:07:33,878	ljs_base	INFO	Train Epoch: 1 [95%]
2025-05-05 18:07:33,880	ljs_base	INFO	[2.684439182281494, 2.4021263122558594, 1.3129034042358398, 4.363845348358154, 1.6131682395935059, 0.3510609269142151, 185, 0.0002]
2025-05-05 18:07:35,577	ljs_base	INFO	Train Epoch: 1 [96%]
2025-05-05 18:07:35,579	ljs_base	INFO	[2.710444211959839, 1.7254891395568848, 1.2601592540740967, 3.923750877380371, 1.1628401279449463, 0.4327335059642792, 186, 0.0002]
2025-05-05 18:07:37,861	ljs_base	INFO	Train Epoch: 1 [96%]
2025-05-05 18:07:37,861	ljs_base	INFO	[2.661863327026367, 1.8777213096618652, 0.9862895011901855, 4.356000900268555, 1.835097074508667, 0.3113538324832916, 187, 0.0002]
2025-05-05 18:07:39,470	ljs_base	INFO	Train Epoch: 1 [97%]
2025-05-05 18:07:39,472	ljs_base	INFO	[2.9399924278259277, 2.3876233100891113, 0.9079627990722656, 4.319879055023193, 1.5256496667861938, 0.2747363746166229, 188, 0.0002]
2025-05-05 18:07:40,883	ljs_base	INFO	Train Epoch: 1 [97%]
2025-05-05 18:07:40,886	ljs_base	INFO	[2.8333041667938232, 1.323940634727478, 0.7691254019737244, 3.6933696269989014, 9.913223266601562, 0.24216198921203613, 189, 0.0002]
2025-05-05 18:07:42,668	ljs_base	INFO	Train Epoch: 1 [98%]
2025-05-05 18:07:42,671	ljs_base	INFO	[3.3141298294067383, 1.9870303869247437, 0.5395482778549194, 3.54140305519104, 1.674879550933838, 0.3923642039299011, 190, 0.0002]
2025-05-05 18:07:44,399	ljs_base	INFO	Train Epoch: 1 [98%]
2025-05-05 18:07:44,402	ljs_base	INFO	[3.0573389530181885, 2.24477219581604, 0.30477917194366455, 3.144362449645996, 1.6072049140930176, 0.3481381833553314, 191, 0.0002]
2025-05-05 18:07:45,861	ljs_base	INFO	Train Epoch: 1 [99%]
2025-05-05 18:07:45,864	ljs_base	INFO	[3.281146764755249, 2.081730365753174, 0.02357950620353222, 2.1337015628814697, 5.054302215576172, 0.5836753845214844, 192, 0.0002]
2025-05-05 18:07:47,264	ljs_base	INFO	Train Epoch: 1 [99%]
2025-05-05 18:07:47,266	ljs_base	INFO	[3.917337656021118, 1.954359769821167, 1.1128774881362915, 6.6435227394104, 1.243994951248169, 0.366615355014801, 193, 0.0002]
2025-05-05 18:07:47,870	ljs_base	INFO	====> Epoch: 1
2025-05-05 18:07:48,800	ljs_base	INFO	Train Epoch: 2 [0%]
2025-05-05 18:07:48,803	ljs_base	INFO	[4.143898010253906, 1.5796219110488892, 1.6016278266906738, 8.343544006347656, 1.6923235654830933, 0.08505181968212128, 194, 0.000199975]
2025-05-05 18:07:50,371	ljs_base	INFO	Train Epoch: 2 [1%]
2025-05-05 18:07:50,373	ljs_base	INFO	[4.129232406616211, 1.3300937414169312, 1.7309041023254395, 8.896214485168457, 1.5197639465332031, 0.399657666683197, 195, 0.000199975]
2025-05-05 18:07:51,799	ljs_base	INFO	Train Epoch: 2 [1%]
2025-05-05 18:07:51,802	ljs_base	INFO	[3.996006488800049, 1.1618040800094604, 1.5714924335479736, 8.84738826751709, 1.8724709749221802, 0.3130071759223938, 196, 0.000199975]
2025-05-05 18:07:53,667	ljs_base	INFO	Train Epoch: 2 [2%]
2025-05-05 18:07:53,669	ljs_base	INFO	[3.8329644203186035, 1.0870110988616943, 1.394554615020752, 8.780097961425781, 1.5652735233306885, 0.1933896839618683, 197, 0.000199975]
2025-05-05 18:07:54,975	ljs_base	INFO	Train Epoch: 2 [2%]
2025-05-05 18:07:54,978	ljs_base	INFO	[3.6933820247650146, 1.123699426651001, 1.2229849100112915, 8.001901626586914, 10.491508483886719, 0.9188162088394165, 198, 0.000199975]
2025-05-05 18:07:56,402	ljs_base	INFO	Train Epoch: 2 [3%]
2025-05-05 18:07:56,404	ljs_base	INFO	[3.5792670249938965, 1.2554099559783936, 1.0347830057144165, 7.810710906982422, 6.3055644035339355, 0.12753482162952423, 199, 0.000199975]
2025-05-05 18:07:57,784	ljs_base	INFO	Train Epoch: 2 [3%]
2025-05-05 18:07:57,786	ljs_base	INFO	[3.467346668243408, 1.3911409378051758, 0.8640692234039307, 6.386467933654785, 6.877758026123047, 0.1377304047346115, 200, 0.000199975]
2025-05-05 18:08:01,860	ljs_base	INFO	Saving model and optimizer state at iteration 2 to ./logs/ljs_base/G_200.pth
2025-05-05 18:08:39,645	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 18:08:39,647	ljs_base	INFO	Saving model and optimizer state at iteration 2 to ./logs/ljs_base/D_200.pth
2025-05-05 18:09:26,090	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 18:09:27,288	ljs_base	INFO	Train Epoch: 2 [4%]
2025-05-05 18:09:27,291	ljs_base	INFO	[3.3894686698913574, 1.462215542793274, 0.7383800745010376, 5.565544605255127, 1.4025280475616455, 0.38787057995796204, 201, 0.000199975]
2025-05-05 18:09:28,712	ljs_base	INFO	Train Epoch: 2 [4%]
2025-05-05 18:09:28,715	ljs_base	INFO	[3.317930221557617, 1.4900537729263306, 0.6144887208938599, 5.708808422088623, 1.4571802616119385, 0.25693586468696594, 202, 0.000199975]
2025-05-05 18:09:30,119	ljs_base	INFO	Train Epoch: 2 [5%]
2025-05-05 18:09:30,122	ljs_base	INFO	[3.272202968597412, 1.5133166313171387, 0.5427567362785339, 5.5807414054870605, 1.49904465675354, 0.22226092219352722, 203, 0.000199975]
2025-05-05 18:09:31,644	ljs_base	INFO	Train Epoch: 2 [5%]
2025-05-05 18:09:31,646	ljs_base	INFO	[3.2467784881591797, 1.5383570194244385, 0.49235743284225464, 5.6540021896362305, 1.766876220703125, 0.1196281760931015, 204, 0.000199975]
2025-05-05 18:09:33,443	ljs_base	INFO	Train Epoch: 2 [6%]
2025-05-05 18:09:33,446	ljs_base	INFO	[3.2192201614379883, 1.5595512390136719, 0.4604512155056, 5.890091419219971, 1.1597131490707397, 0.4196870028972626, 205, 0.000199975]
2025-05-05 18:09:35,180	ljs_base	INFO	Train Epoch: 2 [6%]
2025-05-05 18:09:35,182	ljs_base	INFO	[3.1907405853271484, 1.563042163848877, 0.4319537281990051, 5.192981719970703, 1.9081231355667114, 0.15336540341377258, 206, 0.000199975]
2025-05-05 18:09:36,878	ljs_base	INFO	Train Epoch: 2 [7%]
2025-05-05 18:09:36,878	ljs_base	INFO	[3.1715383529663086, 1.538708209991455, 0.41980311274528503, 5.133206844329834, 1.7490772008895874, 0.30155065655708313, 207, 0.000199975]
2025-05-05 18:09:38,917	ljs_base	INFO	Train Epoch: 2 [7%]
2025-05-05 18:09:38,918	ljs_base	INFO	[3.151496648788452, 1.5015925168991089, 0.4069788157939911, 5.420487880706787, 5.226119518280029, 0.24104589223861694, 208, 0.000199975]
2025-05-05 18:09:40,636	ljs_base	INFO	Train Epoch: 2 [8%]
2025-05-05 18:09:40,639	ljs_base	INFO	[3.1263856887817383, 1.4698532819747925, 0.37589722871780396, 5.322506904602051, 1.491492748260498, 0.46776390075683594, 209, 0.000199975]
2025-05-05 18:09:42,040	ljs_base	INFO	Train Epoch: 2 [8%]
2025-05-05 18:09:42,043	ljs_base	INFO	[3.1044528484344482, 1.4471038579940796, 0.340072900056839, 4.621506690979004, 1.2075213193893433, 0.3845599293708801, 210, 0.000199975]
2025-05-05 18:09:44,002	ljs_base	INFO	Train Epoch: 2 [9%]
2025-05-05 18:09:44,007	ljs_base	INFO	[3.0873920917510986, 1.4400806427001953, 0.3127763271331787, 5.26448392868042, 1.2724097967147827, 0.3397873342037201, 211, 0.000199975]
2025-05-05 18:09:45,491	ljs_base	INFO	Train Epoch: 2 [9%]
2025-05-05 18:09:45,494	ljs_base	INFO	[3.072685718536377, 1.4510124921798706, 0.28832969069480896, 4.96832275390625, 1.3754210472106934, 0.2835996747016907, 212, 0.000199975]
2025-05-05 18:09:46,924	ljs_base	INFO	Train Epoch: 2 [10%]
2025-05-05 18:09:46,927	ljs_base	INFO	[3.0594711303710938, 1.4737848043441772, 0.27386268973350525, 5.055746555328369, 1.4160010814666748, 0.11962419003248215, 213, 0.000199975]
2025-05-05 18:09:48,403	ljs_base	INFO	Train Epoch: 2 [10%]
2025-05-05 18:09:48,406	ljs_base	INFO	[3.0478169918060303, 1.5010992288589478, 0.27124911546707153, 4.926290035247803, 1.6823980808258057, 0.5202677845954895, 214, 0.000199975]
2025-05-05 18:09:50,483	ljs_base	INFO	Train Epoch: 2 [11%]
2025-05-05 18:09:50,485	ljs_base	INFO	[3.0362801551818848, 1.5270179510116577, 0.26507607102394104, 4.903213977813721, 1.899588704109192, 0.2731335163116455, 215, 0.000199975]
2025-05-05 18:09:51,941	ljs_base	INFO	Train Epoch: 2 [11%]
2025-05-05 18:09:51,944	ljs_base	INFO	[3.022982120513916, 1.5453580617904663, 0.24426956474781036, 4.776546001434326, 1.6620292663574219, 0.21908290684223175, 216, 0.000199975]
2025-05-05 18:09:53,451	ljs_base	INFO	Train Epoch: 2 [12%]
2025-05-05 18:09:53,452	ljs_base	INFO	[3.011491060256958, 1.5529110431671143, 0.22676073014736176, 4.682721138000488, 1.5040748119354248, 0.2295234650373459, 217, 0.000199975]
2025-05-05 18:09:54,909	ljs_base	INFO	Train Epoch: 2 [12%]
2025-05-05 18:09:54,912	ljs_base	INFO	[3.001610040664673, 1.5494904518127441, 0.21910998225212097, 4.433757781982422, 1.6088882684707642, 0.317084401845932, 218, 0.000199975]
2025-05-05 18:09:56,408	ljs_base	INFO	Train Epoch: 2 [13%]
2025-05-05 18:09:56,411	ljs_base	INFO	[2.9906365871429443, 1.5424885749816895, 0.22082635760307312, 4.50874137878418, 1.3619848489761353, 0.3668425381183624, 219, 0.000199975]
2025-05-05 18:09:57,989	ljs_base	INFO	Train Epoch: 2 [13%]
2025-05-05 18:09:57,992	ljs_base	INFO	[2.979466438293457, 1.535427451133728, 0.22461427748203278, 4.5700860023498535, 1.7689939737319946, 0.18622097373008728, 220, 0.000199975]
2025-05-05 18:09:59,099	ljs_base	INFO	Saving model and optimizer state at iteration 2 to ./logs/ljs_base/G_220.pth
2025-05-05 18:10:50,499	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 18:10:50,501	ljs_base	INFO	Saving model and optimizer state at iteration 2 to ./logs/ljs_base/D_220.pth
2025-05-05 18:11:46,122	ljs_base	INFO	successfully uploaded model logs to hugging face
2025-05-05 18:11:47,230	ljs_base	INFO	Train Epoch: 2 [14%]
2025-05-05 18:11:47,232	ljs_base	INFO	[2.9696030616760254, 1.5306081771850586, 0.22407126426696777, 4.368674278259277, 1.441970705986023, 0.2940126955509186, 221, 0.000199975]
2025-05-05 18:11:48,753	ljs_base	INFO	Train Epoch: 2 [14%]
2025-05-05 18:11:48,755	ljs_base	INFO	[2.9606728553771973, 1.5297565460205078, 0.22418388724327087, 4.362941741943359, 4.950588703155518, 0.4300299882888794, 222, 0.000199975]
2025-05-05 18:11:50,932	ljs_base	INFO	Train Epoch: 2 [15%]
2025-05-05 18:11:50,935	ljs_base	INFO	[2.951237916946411, 1.5342867374420166, 0.24015554785728455, 4.4132914543151855, 7.298505783081055, 0.4182783365249634, 223, 0.000199975]
2025-05-05 18:11:52,654	ljs_base	INFO	Train Epoch: 2 [15%]
2025-05-05 18:11:52,656	ljs_base	INFO	[2.9398927688598633, 1.5428154468536377, 0.26724934577941895, 4.524114608764648, 1.466015338897705, 0.4447854459285736, 224, 0.000199975]
2025-05-05 18:11:54,062	ljs_base	INFO	Train Epoch: 2 [16%]
2025-05-05 18:11:54,065	ljs_base	INFO	[2.9294204711914062, 1.548440933227539, 0.28262531757354736, 4.281513690948486, 1.2674281597137451, 0.18001408874988556, 225, 0.000199975]
2025-05-05 18:11:55,502	ljs_base	INFO	Train Epoch: 2 [16%]
2025-05-05 18:11:55,504	ljs_base	INFO	[2.9225146770477295, 1.5514700412750244, 0.28915536403656006, 4.583168983459473, 1.555281400680542, 0.322406142950058, 226, 0.000199975]
2025-05-05 18:11:57,053	ljs_base	INFO	Train Epoch: 2 [17%]
2025-05-05 18:11:57,056	ljs_base	INFO	[2.9131085872650146, 1.555472493171692, 0.3019476532936096, 4.550187587738037, 15.022345542907715, 0.1444999724626541, 227, 0.000199975]
2025-05-05 18:11:58,431	ljs_base	INFO	Train Epoch: 2 [18%]
2025-05-05 18:11:58,434	ljs_base	INFO	[2.8998429775238037, 1.5645573139190674, 0.3315575122833252, 4.146024227142334, 1.518075704574585, 0.16197000443935394, 228, 0.000199975]
2025-05-05 18:11:59,918	ljs_base	INFO	Train Epoch: 2 [18%]
2025-05-05 18:11:59,920	ljs_base	INFO	[2.8912179470062256, 1.571895956993103, 0.34912461042404175, 4.544628143310547, 7.048030376434326, 0.4299957752227783, 229, 0.000199975]
2025-05-05 18:12:01,354	ljs_base	INFO	Train Epoch: 2 [19%]
2025-05-05 18:12:01,357	ljs_base	INFO	[2.885016918182373, 1.5806061029434204, 0.357709139585495, 4.87092924118042, 1.3757151365280151, 0.19036678969860077, 230, 0.000199975]
2025-05-05 18:12:03,034	ljs_base	INFO	Train Epoch: 2 [19%]
2025-05-05 18:12:03,037	ljs_base	INFO	[2.8708291053771973, 1.5965489149093628, 0.3870587944984436, 4.455352783203125, 10.497550964355469, 0.5914900898933411, 231, 0.000199975]
2025-05-05 18:12:04,553	ljs_base	INFO	Train Epoch: 2 [20%]
2025-05-05 18:12:04,556	ljs_base	INFO	[2.8543901443481445, 1.601960301399231, 0.42129331827163696, 3.924846649169922, 1.7419930696487427, 0.2686409056186676, 232, 0.000199975]
2025-05-05 18:12:06,499	ljs_base	INFO	Train Epoch: 2 [20%]
2025-05-05 18:12:06,502	ljs_base	INFO	[2.8490145206451416, 1.59269380569458, 0.4306742548942566, 4.187062740325928, 1.510290265083313, 0.2890318036079407, 233, 0.000199975]
2025-05-05 18:12:08,061	ljs_base	INFO	Train Epoch: 2 [21%]
2025-05-05 18:12:08,064	ljs_base	INFO	[2.8391566276550293, 1.5959467887878418, 0.4508107006549835, 4.313336372375488, 1.6066930294036865, 0.10450402647256851, 234, 0.000199975]
2025-05-05 18:12:09,587	ljs_base	INFO	Train Epoch: 2 [21%]
2025-05-05 18:12:09,590	ljs_base	INFO	[2.8280527591705322, 1.6074285507202148, 0.47670528292655945, 3.9337267875671387, 1.6386396884918213, 0.2759629786014557, 235, 0.000199975]
2025-05-05 18:12:11,144	ljs_base	INFO	Train Epoch: 2 [22%]
2025-05-05 18:12:11,147	ljs_base	INFO	[2.812492847442627, 1.6158263683319092, 0.5162931084632874, 4.227627277374268, 1.6401588916778564, -0.04810924082994461, 236, 0.000199975]
2025-05-05 18:12:12,621	ljs_base	INFO	Train Epoch: 2 [22%]
2025-05-05 18:12:12,624	ljs_base	INFO	[2.8096437454223633, 1.6200228929519653, 0.5200018286705017, 4.220820426940918, 1.4658801555633545, 0.47117671370506287, 237, 0.000199975]
2025-05-05 18:12:14,046	ljs_base	INFO	Train Epoch: 2 [23%]
2025-05-05 18:12:14,049	ljs_base	INFO	[2.8048439025878906, 1.6288599967956543, 0.5256907343864441, 3.9928958415985107, 5.233370304107666, 0.10361261665821075, 238, 0.000199975]
2025-05-05 18:12:15,481	ljs_base	INFO	Train Epoch: 2 [23%]
2025-05-05 18:12:15,482	ljs_base	INFO	[2.7921884059906006, 1.6286952495574951, 0.5570800304412842, 4.045093059539795, 1.42902672290802, 0.1191093772649765, 239, 0.000199975]
2025-05-05 18:12:17,278	ljs_base	INFO	Train Epoch: 2 [24%]
2025-05-05 18:12:17,281	ljs_base	INFO	[2.7937347888946533, 1.6530067920684814, 0.5496543645858765, 3.9781270027160645, 1.5569719076156616, 0.4586837589740753, 240, 0.000199975]
2025-05-05 18:12:21,587	ljs_base	INFO	Saving model and optimizer state at iteration 2 to ./logs/ljs_base/G_240.pth