PCR/44k/train.log

2023-03-16 03:45:00,403	44k	INFO	{'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 31415926, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 6, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 10240, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 512, 'port': '8001', 'keep_ckpts': 5}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 44100, 'filter_length': 2048, 'hop_length': 512, 'win_length': 2048, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': 22050}, '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, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 200}, 'spk': {'爱梅斯': 0, '花凛': 1, '佩可莉姆': 2, '咲恋': 3, '凯露': 4, '可可萝': 5}, 'model_dir': './logs/44k'}
2023-03-16 03:45:12,030	44k	INFO	Loaded checkpoint './logs/44k/G_0.pth' (iteration 1)
2023-03-16 03:45:12,390	44k	INFO	Loaded checkpoint './logs/44k/D_0.pth' (iteration 1)
2023-03-16 03:45:32,001	44k	INFO	Train Epoch: 1 [0%]
2023-03-16 03:45:32,001	44k	INFO	Losses: [3.291661262512207, 1.764503002166748, 12.157134056091309, 37.00117874145508, 8.6184663772583], step: 0, lr: 0.0001
2023-03-16 03:45:48,575	44k	INFO	Saving model and optimizer state at iteration 1 to ./logs/44k/G_0.pth
2023-03-16 03:45:50,228	44k	INFO	Saving model and optimizer state at iteration 1 to ./logs/44k/D_0.pth
2023-03-16 03:49:10,560	44k	INFO	Train Epoch: 1 [41%]
2023-03-16 03:49:10,561	44k	INFO	Losses: [2.456336736679077, 2.2636466026306152, 11.285392761230469, 23.48797035217285, 1.7761276960372925], step: 200, lr: 0.0001
2023-03-16 03:52:25,452	44k	INFO	Train Epoch: 1 [82%]
2023-03-16 03:52:25,453	44k	INFO	Losses: [2.619351625442505, 2.413145065307617, 5.774464130401611, 17.83196449279785, 1.4286918640136719], step: 400, lr: 0.0001
2023-03-16 03:53:54,545	44k	INFO	====> Epoch: 1, cost 534.15 s
2023-03-16 03:55:47,876	44k	INFO	Train Epoch: 2 [23%]
2023-03-16 03:55:47,878	44k	INFO	Losses: [2.3617289066314697, 2.34017276763916, 11.430126190185547, 23.098453521728516, 1.6386312246322632], step: 600, lr: 9.99875e-05
2023-03-16 03:58:49,432	44k	INFO	Train Epoch: 2 [64%]
2023-03-16 03:58:49,433	44k	INFO	Losses: [2.6481170654296875, 2.172445297241211, 11.095765113830566, 22.20691680908203, 1.3821688890457153], step: 800, lr: 9.99875e-05
2023-03-16 03:59:04,118	44k	INFO	Saving model and optimizer state at iteration 2 to ./logs/44k/G_800.pth
2023-03-16 03:59:07,802	44k	INFO	Saving model and optimizer state at iteration 2 to ./logs/44k/D_800.pth
2023-03-16 04:01:53,100	44k	INFO	====> Epoch: 2, cost 478.55 s
2023-03-16 04:02:23,840	44k	INFO	Train Epoch: 3 [5%]
2023-03-16 04:02:23,842	44k	INFO	Losses: [2.440416097640991, 2.114820718765259, 9.250975608825684, 21.680259704589844, 1.6363701820373535], step: 1000, lr: 9.99750015625e-05
2023-03-16 04:05:25,520	44k	INFO	Train Epoch: 3 [46%]
2023-03-16 04:05:25,522	44k	INFO	Losses: [2.3823187351226807, 2.206317901611328, 7.773815155029297, 21.99563217163086, 1.6792030334472656], step: 1200, lr: 9.99750015625e-05
2023-03-16 04:08:26,714	44k	INFO	Train Epoch: 3 [87%]
2023-03-16 04:08:26,716	44k	INFO	Losses: [2.639606237411499, 2.4339189529418945, 7.845114231109619, 18.720239639282227, 1.6298623085021973], step: 1400, lr: 9.99750015625e-05
2023-03-16 04:09:25,830	44k	INFO	====> Epoch: 3, cost 452.73 s
2023-03-16 04:11:39,460	44k	INFO	Train Epoch: 4 [28%]
2023-03-16 04:11:39,462	44k	INFO	Losses: [2.6709542274475098, 2.1050305366516113, 6.581157684326172, 18.311243057250977, 1.3236173391342163], step: 1600, lr: 9.996250468730469e-05
2023-03-16 04:11:53,038	44k	INFO	Saving model and optimizer state at iteration 4 to ./logs/44k/G_1600.pth
2023-03-16 04:11:56,885	44k	INFO	Saving model and optimizer state at iteration 4 to ./logs/44k/D_1600.pth
2023-03-16 04:15:05,252	44k	INFO	Train Epoch: 4 [69%]
2023-03-16 04:15:05,254	44k	INFO	Losses: [2.4878756999969482, 2.51745343208313, 9.609076499938965, 22.48293113708496, 1.4268285036087036], step: 1800, lr: 9.996250468730469e-05
2023-03-16 04:17:22,854	44k	INFO	====> Epoch: 4, cost 477.02 s
2023-03-16 04:18:15,871	44k	INFO	Train Epoch: 5 [10%]
2023-03-16 04:18:15,872	44k	INFO	Losses: [2.606598138809204, 2.1731693744659424, 10.153559684753418, 22.90613555908203, 1.7365959882736206], step: 2000, lr: 9.995000937421877e-05
2023-03-16 04:21:18,504	44k	INFO	Train Epoch: 5 [51%]
2023-03-16 04:21:18,505	44k	INFO	Losses: [2.441821813583374, 2.3543171882629395, 11.869065284729004, 19.522531509399414, 1.5469204187393188], step: 2200, lr: 9.995000937421877e-05
2023-03-16 04:24:20,204	44k	INFO	Train Epoch: 5 [92%]
2023-03-16 04:24:20,206	44k	INFO	Losses: [2.5969419479370117, 2.2188103199005127, 7.577230453491211, 21.363588333129883, 1.363086462020874], step: 2400, lr: 9.995000937421877e-05
2023-03-16 04:24:34,481	44k	INFO	Saving model and optimizer state at iteration 5 to ./logs/44k/G_2400.pth
2023-03-16 04:24:38,025	44k	INFO	Saving model and optimizer state at iteration 5 to ./logs/44k/D_2400.pth
2023-03-16 04:25:20,248	44k	INFO	====> Epoch: 5, cost 477.39 s
2023-03-16 04:27:54,035	44k	INFO	Train Epoch: 6 [33%]
2023-03-16 04:27:54,037	44k	INFO	Losses: [2.5279340744018555, 1.942718505859375, 9.702193260192871, 18.886552810668945, 1.5635700225830078], step: 2600, lr: 9.993751562304699e-05
2023-03-16 04:30:56,699	44k	INFO	Train Epoch: 6 [74%]
2023-03-16 04:30:56,701	44k	INFO	Losses: [2.5547738075256348, 2.1835579872131348, 9.265650749206543, 23.518890380859375, 1.5289368629455566], step: 2800, lr: 9.993751562304699e-05
2023-03-16 04:32:51,395	44k	INFO	====> Epoch: 6, cost 451.15 s
2023-03-16 04:34:06,142	44k	INFO	Train Epoch: 7 [15%]
2023-03-16 04:34:06,144	44k	INFO	Losses: [2.5520966053009033, 2.525559663772583, 10.293418884277344, 19.26520538330078, 1.4581613540649414], step: 3000, lr: 9.99250234335941e-05
2023-03-16 04:37:07,639	44k	INFO	Train Epoch: 7 [56%]
2023-03-16 04:37:07,641	44k	INFO	Losses: [2.6504194736480713, 2.1736576557159424, 6.023209571838379, 18.464496612548828, 1.5369186401367188], step: 3200, lr: 9.99250234335941e-05
2023-03-16 04:37:21,478	44k	INFO	Saving model and optimizer state at iteration 7 to ./logs/44k/G_3200.pth
2023-03-16 04:37:25,251	44k	INFO	Saving model and optimizer state at iteration 7 to ./logs/44k/D_3200.pth
2023-03-16 04:40:33,181	44k	INFO	Train Epoch: 7 [97%]
2023-03-16 04:40:33,183	44k	INFO	Losses: [2.450155019760132, 2.5208957195281982, 9.753071784973145, 19.666173934936523, 1.601668119430542], step: 3400, lr: 9.99250234335941e-05
2023-03-16 04:40:48,508	44k	INFO	====> Epoch: 7, cost 477.11 s
2023-03-16 04:43:44,187	44k	INFO	Train Epoch: 8 [38%]
2023-03-16 04:43:44,189	44k	INFO	Losses: [2.3517274856567383, 2.4090371131896973, 9.329937934875488, 22.46272087097168, 0.9372869729995728], step: 3600, lr: 9.991253280566489e-05
2023-03-16 04:46:45,403	44k	INFO	Train Epoch: 8 [79%]
2023-03-16 04:46:45,404	44k	INFO	Losses: [2.424236297607422, 2.2478489875793457, 9.796577453613281, 19.961515426635742, 1.3253408670425415], step: 3800, lr: 9.991253280566489e-05
2023-03-16 04:48:19,436	44k	INFO	====> Epoch: 8, cost 450.93 s
2023-03-16 04:49:57,041	44k	INFO	Train Epoch: 9 [20%]
2023-03-16 04:49:57,043	44k	INFO	Losses: [2.559412717819214, 2.307934284210205, 6.929838180541992, 15.601181030273438, 1.5490977764129639], step: 4000, lr: 9.990004373906418e-05
2023-03-16 04:50:10,917	44k	INFO	Saving model and optimizer state at iteration 9 to ./logs/44k/G_4000.pth
2023-03-16 04:50:15,871	44k	INFO	Saving model and optimizer state at iteration 9 to ./logs/44k/D_4000.pth
2023-03-16 04:53:23,572	44k	INFO	Train Epoch: 9 [61%]
2023-03-16 04:53:23,574	44k	INFO	Losses: [2.530341625213623, 2.0512852668762207, 8.43735408782959, 22.20954704284668, 1.2125424146652222], step: 4200, lr: 9.990004373906418e-05
2023-03-16 04:56:17,606	44k	INFO	====> Epoch: 9, cost 478.17 s
2023-03-16 04:56:34,875	44k	INFO	Train Epoch: 10 [2%]
2023-03-16 04:56:34,877	44k	INFO	Losses: [2.7438266277313232, 1.8799948692321777, 7.8603010177612305, 20.14884376525879, 1.3113723993301392], step: 4400, lr: 9.98875562335968e-05
2023-03-16 04:59:38,567	44k	INFO	Train Epoch: 10 [43%]
2023-03-16 04:59:38,569	44k	INFO	Losses: [2.42875337600708, 2.293686866760254, 9.781872749328613, 18.593624114990234, 1.4600536823272705], step: 4600, lr: 9.98875562335968e-05
2023-03-16 05:02:41,666	44k	INFO	Train Epoch: 10 [84%]
2023-03-16 05:02:41,670	44k	INFO	Losses: [2.5926754474639893, 2.7037694454193115, 6.898773670196533, 21.30295753479004, 1.2300797700881958], step: 4800, lr: 9.98875562335968e-05
2023-03-16 05:02:56,211	44k	INFO	Saving model and optimizer state at iteration 10 to ./logs/44k/G_4800.pth
2023-03-16 05:03:00,468	44k	INFO	Saving model and optimizer state at iteration 10 to ./logs/44k/D_4800.pth
2023-03-16 05:03:03,487	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_800.pth
2023-03-16 05:03:03,489	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_800.pth
2023-03-16 05:04:19,879	44k	INFO	====> Epoch: 10, cost 482.27 s
2023-03-16 05:06:18,375	44k	INFO	Train Epoch: 11 [25%]
2023-03-16 05:06:18,377	44k	INFO	Losses: [2.5129313468933105, 2.097684383392334, 11.3854341506958, 22.485979080200195, 1.615236520767212], step: 5000, lr: 9.987507028906759e-05
2023-03-16 05:09:19,703	44k	INFO	Train Epoch: 11 [66%]
2023-03-16 05:09:19,704	44k	INFO	Losses: [2.7106878757476807, 2.373891592025757, 7.397819519042969, 16.615337371826172, 1.2022877931594849], step: 5200, lr: 9.987507028906759e-05
2023-03-16 05:11:51,964	44k	INFO	====> Epoch: 11, cost 452.09 s
2023-03-16 05:12:31,805	44k	INFO	Train Epoch: 12 [7%]
2023-03-16 05:12:31,807	44k	INFO	Losses: [2.7057793140411377, 2.2924859523773193, 7.111566066741943, 18.727497100830078, 1.2804045677185059], step: 5400, lr: 9.986258590528146e-05
2023-03-16 05:15:33,982	44k	INFO	Train Epoch: 12 [48%]
2023-03-16 05:15:33,984	44k	INFO	Losses: [2.556389331817627, 2.2130212783813477, 9.802085876464844, 19.90097427368164, 1.4671552181243896], step: 5600, lr: 9.986258590528146e-05
2023-03-16 05:15:49,246	44k	INFO	Saving model and optimizer state at iteration 12 to ./logs/44k/G_5600.pth
2023-03-16 05:15:52,672	44k	INFO	Saving model and optimizer state at iteration 12 to ./logs/44k/D_5600.pth
2023-03-16 05:15:55,139	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_1600.pth
2023-03-16 05:15:55,141	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_1600.pth
2023-03-16 05:19:02,115	44k	INFO	Train Epoch: 12 [89%]
2023-03-16 05:19:02,117	44k	INFO	Losses: [2.291825294494629, 2.4433064460754395, 11.285550117492676, 21.537174224853516, 1.6749378442764282], step: 5800, lr: 9.986258590528146e-05
2023-03-16 05:19:53,740	44k	INFO	====> Epoch: 12, cost 481.78 s
2023-03-16 05:22:15,179	44k	INFO	Train Epoch: 13 [30%]
2023-03-16 05:22:15,181	44k	INFO	Losses: [2.7077765464782715, 2.5591022968292236, 8.292502403259277, 21.418359756469727, 1.6379843950271606], step: 6000, lr: 9.98501030820433e-05
2023-03-16 05:25:18,284	44k	INFO	Train Epoch: 13 [70%]
2023-03-16 05:25:18,285	44k	INFO	Losses: [2.474001884460449, 2.4212117195129395, 10.527393341064453, 23.17765235900879, 1.3198602199554443], step: 6200, lr: 9.98501030820433e-05
2023-03-16 05:27:28,128	44k	INFO	====> Epoch: 13, cost 454.39 s
2023-03-16 05:28:29,410	44k	INFO	Train Epoch: 14 [11%]
2023-03-16 05:28:29,412	44k	INFO	Losses: [2.487844467163086, 2.280858278274536, 11.38546085357666, 21.897716522216797, 1.609121322631836], step: 6400, lr: 9.983762181915804e-05
2023-03-16 05:28:42,941	44k	INFO	Saving model and optimizer state at iteration 14 to ./logs/44k/G_6400.pth
2023-03-16 05:28:47,379	44k	INFO	Saving model and optimizer state at iteration 14 to ./logs/44k/D_6400.pth
2023-03-16 05:28:50,125	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_2400.pth
2023-03-16 05:28:50,129	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_2400.pth
2023-03-16 05:31:55,531	44k	INFO	Train Epoch: 14 [52%]
2023-03-16 05:31:55,533	44k	INFO	Losses: [2.395012140274048, 2.4408841133117676, 8.866538047790527, 21.54804229736328, 1.4580787420272827], step: 6600, lr: 9.983762181915804e-05
2023-03-16 05:34:56,333	44k	INFO	Train Epoch: 14 [93%]
2023-03-16 05:34:56,334	44k	INFO	Losses: [2.5645859241485596, 2.1747446060180664, 6.60874605178833, 20.333681106567383, 1.515870213508606], step: 6800, lr: 9.983762181915804e-05
2023-03-16 05:35:25,854	44k	INFO	====> Epoch: 14, cost 477.73 s
2023-03-16 05:38:06,692	44k	INFO	Train Epoch: 15 [34%]
2023-03-16 05:38:06,694	44k	INFO	Losses: [2.657505512237549, 2.1412887573242188, 7.838269233703613, 18.579402923583984, 1.1715682744979858], step: 7000, lr: 9.982514211643064e-05
2023-03-16 05:41:07,577	44k	INFO	Train Epoch: 15 [75%]
2023-03-16 05:41:07,579	44k	INFO	Losses: [2.606098175048828, 2.226483106613159, 7.853048801422119, 21.761579513549805, 1.3788846731185913], step: 7200, lr: 9.982514211643064e-05
2023-03-16 05:41:21,612	44k	INFO	Saving model and optimizer state at iteration 15 to ./logs/44k/G_7200.pth
2023-03-16 05:41:25,049	44k	INFO	Saving model and optimizer state at iteration 15 to ./logs/44k/D_7200.pth
2023-03-16 05:41:27,318	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_3200.pth
2023-03-16 05:41:27,323	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_3200.pth
2023-03-16 05:43:20,429	44k	INFO	====> Epoch: 15, cost 474.57 s
2023-03-16 05:44:42,960	44k	INFO	Train Epoch: 16 [16%]
2023-03-16 05:44:42,962	44k	INFO	Losses: [2.5230307579040527, 2.365442991256714, 6.982161998748779, 21.792232513427734, 1.7448978424072266], step: 7400, lr: 9.981266397366609e-05
2023-03-16 05:51:59,036	44k	INFO	{'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 31415926, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 6, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 10240, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 512, 'port': '8001', 'keep_ckpts': 5}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 44100, 'filter_length': 2048, 'hop_length': 512, 'win_length': 2048, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': 22050}, '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, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 200}, 'spk': {'爱梅斯': 0, '花凛': 1, '佩可莉姆': 2, '咲恋': 3, '凯露': 4, '可可萝': 5}, 'model_dir': './logs/44k'}
2023-03-16 05:52:09,604	44k	INFO	Loaded checkpoint './logs/44k/G_7200.pth' (iteration 15)
2023-03-16 05:52:13,179	44k	INFO	Loaded checkpoint './logs/44k/D_7200.pth' (iteration 15)
2023-03-16 05:55:05,305	44k	INFO	Train Epoch: 15 [34%]
2023-03-16 05:55:05,306	44k	INFO	Losses: [2.700556755065918, 1.8807555437088013, 9.647850036621094, 20.80097198486328, 1.4296956062316895], step: 7000, lr: 9.981266397366609e-05
2023-03-16 05:58:09,964	44k	INFO	Train Epoch: 15 [75%]
2023-03-16 05:58:09,966	44k	INFO	Losses: [2.456688642501831, 2.3176803588867188, 10.375439643859863, 21.627145767211914, 1.5252001285552979], step: 7200, lr: 9.981266397366609e-05
2023-03-16 05:58:29,997	44k	INFO	Saving model and optimizer state at iteration 15 to ./logs/44k/G_7200.pth
2023-03-16 05:58:33,699	44k	INFO	Saving model and optimizer state at iteration 15 to ./logs/44k/D_7200.pth
2023-03-16 06:00:32,071	44k	INFO	====> Epoch: 15, cost 513.04 s
2023-03-16 06:01:56,496	44k	INFO	Train Epoch: 16 [16%]
2023-03-16 06:01:56,498	44k	INFO	Losses: [2.7294743061065674, 2.2666993141174316, 8.199426651000977, 20.438791275024414, 1.2583919763565063], step: 7400, lr: 9.980018739066937e-05
2023-03-16 06:04:59,043	44k	INFO	Train Epoch: 16 [57%]
2023-03-16 06:04:59,044	44k	INFO	Losses: [2.3027632236480713, 2.5179648399353027, 10.218314170837402, 19.362916946411133, 1.5512841939926147], step: 7600, lr: 9.980018739066937e-05
2023-03-16 06:08:02,333	44k	INFO	Train Epoch: 16 [98%]
2023-03-16 06:08:02,336	44k	INFO	Losses: [2.474194049835205, 2.098743200302124, 10.509648323059082, 19.585729598999023, 1.2483811378479004], step: 7800, lr: 9.980018739066937e-05
2023-03-16 06:08:09,957	44k	INFO	====> Epoch: 16, cost 457.89 s
2023-03-16 06:11:15,354	44k	INFO	Train Epoch: 17 [39%]
2023-03-16 06:11:15,356	44k	INFO	Losses: [2.3673224449157715, 2.105393886566162, 8.37169075012207, 19.664026260375977, 1.166558027267456], step: 8000, lr: 9.978771236724554e-05
2023-03-16 06:11:31,236	44k	INFO	Saving model and optimizer state at iteration 17 to ./logs/44k/G_8000.pth
2023-03-16 06:11:35,378	44k	INFO	Saving model and optimizer state at iteration 17 to ./logs/44k/D_8000.pth
2023-03-16 06:11:38,059	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_4000.pth
2023-03-16 06:11:38,185	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_4000.pth
2023-03-16 06:14:44,567	44k	INFO	Train Epoch: 17 [80%]
2023-03-16 06:14:44,568	44k	INFO	Losses: [2.7636914253234863, 1.8335176706314087, 10.230378150939941, 21.400732040405273, 1.2269840240478516], step: 8200, lr: 9.978771236724554e-05
2023-03-16 06:16:13,029	44k	INFO	====> Epoch: 17, cost 483.07 s
2023-03-16 06:17:59,537	44k	INFO	Train Epoch: 18 [21%]
2023-03-16 06:17:59,540	44k	INFO	Losses: [2.7225890159606934, 1.9996113777160645, 7.610608100891113, 20.34429931640625, 1.6251106262207031], step: 8400, lr: 9.977523890319963e-05
2023-03-16 06:21:04,534	44k	INFO	Train Epoch: 18 [62%]
2023-03-16 06:21:04,535	44k	INFO	Losses: [2.341667890548706, 2.268481969833374, 11.519766807556152, 22.280040740966797, 1.4153791666030884], step: 8600, lr: 9.977523890319963e-05
2023-03-16 06:23:54,864	44k	INFO	====> Epoch: 18, cost 461.84 s
2023-03-16 06:24:19,044	44k	INFO	Train Epoch: 19 [3%]
2023-03-16 06:24:19,046	44k	INFO	Losses: [2.740995407104492, 2.0446672439575195, 12.358692169189453, 20.678874969482422, 1.4825718402862549], step: 8800, lr: 9.976276699833672e-05
2023-03-16 06:24:32,203	44k	INFO	Saving model and optimizer state at iteration 19 to ./logs/44k/G_8800.pth
2023-03-16 06:24:35,980	44k	INFO	Saving model and optimizer state at iteration 19 to ./logs/44k/D_8800.pth
2023-03-16 06:24:38,737	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_4800.pth
2023-03-16 06:24:38,739	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_4800.pth
2023-03-16 06:27:45,580	44k	INFO	Train Epoch: 19 [44%]
2023-03-16 06:27:45,581	44k	INFO	Losses: [2.6062631607055664, 2.1529738903045654, 7.581636905670166, 18.038063049316406, 1.1178854703903198], step: 9000, lr: 9.976276699833672e-05
2023-03-16 06:30:50,161	44k	INFO	Train Epoch: 19 [85%]
2023-03-16 06:30:50,163	44k	INFO	Losses: [2.3310985565185547, 2.40073299407959, 10.207969665527344, 22.044940948486328, 1.4970680475234985], step: 9200, lr: 9.976276699833672e-05
2023-03-16 06:31:54,985	44k	INFO	====> Epoch: 19, cost 480.12 s
2023-03-16 06:34:02,871	44k	INFO	Train Epoch: 20 [26%]
2023-03-16 06:34:02,873	44k	INFO	Losses: [2.5796658992767334, 2.31149959564209, 7.460807800292969, 17.63202667236328, 1.1823945045471191], step: 9400, lr: 9.975029665246193e-05
2023-03-16 06:37:05,291	44k	INFO	Train Epoch: 20 [67%]
2023-03-16 06:37:05,292	44k	INFO	Losses: [2.3096089363098145, 2.2630562782287598, 11.921524047851562, 23.9654541015625, 1.0267102718353271], step: 9600, lr: 9.975029665246193e-05
2023-03-16 06:37:19,257	44k	INFO	Saving model and optimizer state at iteration 20 to ./logs/44k/G_9600.pth
2023-03-16 06:37:22,849	44k	INFO	Saving model and optimizer state at iteration 20 to ./logs/44k/D_9600.pth
2023-03-16 06:37:25,363	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_5600.pth
2023-03-16 06:37:25,365	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_5600.pth
2023-03-16 06:39:56,774	44k	INFO	====> Epoch: 20, cost 481.79 s
2023-03-16 06:40:43,948	44k	INFO	Train Epoch: 21 [8%]
2023-03-16 06:40:43,951	44k	INFO	Losses: [2.2427148818969727, 2.1527554988861084, 11.74283504486084, 17.88407325744629, 1.1844799518585205], step: 9800, lr: 9.973782786538036e-05
2023-03-16 06:43:49,417	44k	INFO	Train Epoch: 21 [49%]
2023-03-16 06:43:49,419	44k	INFO	Losses: [2.6059117317199707, 2.3247103691101074, 8.073648452758789, 18.50623321533203, 1.4986897706985474], step: 10000, lr: 9.973782786538036e-05
2023-03-16 06:46:52,057	44k	INFO	Train Epoch: 21 [90%]
2023-03-16 06:46:52,059	44k	INFO	Losses: [2.4914746284484863, 2.116398811340332, 7.762205600738525, 17.82062339782715, 1.569253921508789], step: 10200, lr: 9.973782786538036e-05
2023-03-16 06:47:36,396	44k	INFO	====> Epoch: 21, cost 459.62 s
2023-03-16 06:50:06,653	44k	INFO	Train Epoch: 22 [31%]
2023-03-16 06:50:06,656	44k	INFO	Losses: [2.4326674938201904, 2.162986993789673, 9.135976791381836, 21.036026000976562, 1.3172006607055664], step: 10400, lr: 9.972536063689719e-05
2023-03-16 06:50:21,807	44k	INFO	Saving model and optimizer state at iteration 22 to ./logs/44k/G_10400.pth
2023-03-16 06:50:25,975	44k	INFO	Saving model and optimizer state at iteration 22 to ./logs/44k/D_10400.pth
2023-03-16 06:50:28,794	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_6400.pth
2023-03-16 06:50:28,812	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_6400.pth
2023-03-16 06:53:34,952	44k	INFO	Train Epoch: 22 [72%]
2023-03-16 06:53:34,955	44k	INFO	Losses: [2.6645891666412354, 2.2696688175201416, 7.377318382263184, 19.98308753967285, 1.3985227346420288], step: 10600, lr: 9.972536063689719e-05
2023-03-16 06:55:40,220	44k	INFO	====> Epoch: 22, cost 483.82 s
2023-03-16 06:56:48,328	44k	INFO	Train Epoch: 23 [13%]
2023-03-16 06:56:48,330	44k	INFO	Losses: [2.532457113265991, 2.1207449436187744, 8.504952430725098, 19.68596649169922, 1.082635521888733], step: 10800, lr: 9.971289496681757e-05
2023-03-16 06:59:51,991	44k	INFO	Train Epoch: 23 [54%]
2023-03-16 06:59:51,993	44k	INFO	Losses: [2.626880168914795, 2.3608415126800537, 7.994516849517822, 19.393821716308594, 1.4976881742477417], step: 11000, lr: 9.971289496681757e-05
2023-03-16 09:23:05,318	44k	INFO	{'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 31415926, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 6, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 10240, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 512, 'port': '8001', 'keep_ckpts': 5}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 44100, 'filter_length': 2048, 'hop_length': 512, 'win_length': 2048, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': 22050}, '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, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 200}, 'spk': {'爱梅斯': 0, '花凛': 1, '佩可莉姆': 2, '咲恋': 3, '凯露': 4, '可可萝': 5}, 'model_dir': './logs/44k'}
2023-03-16 09:23:21,238	44k	INFO	Loaded checkpoint './logs/44k/G_10400.pth' (iteration 22)
2023-03-16 09:23:27,987	44k	INFO	Loaded checkpoint './logs/44k/D_10400.pth' (iteration 22)
2023-03-16 09:26:12,428	44k	INFO	Train Epoch: 22 [31%]
2023-03-16 09:26:12,430	44k	INFO	Losses: [2.2434141635894775, 2.2889671325683594, 10.926834106445312, 20.01066780090332, 1.2102007865905762], step: 10400, lr: 9.971289496681757e-05
2023-03-16 09:26:32,055	44k	INFO	Saving model and optimizer state at iteration 22 to ./logs/44k/G_10400.pth
2023-03-16 09:26:35,747	44k	INFO	Saving model and optimizer state at iteration 22 to ./logs/44k/D_10400.pth
2023-03-16 09:29:54,063	44k	INFO	Train Epoch: 22 [72%]
2023-03-16 09:29:54,065	44k	INFO	Losses: [2.3256235122680664, 2.6369853019714355, 8.865528106689453, 19.07881736755371, 1.1233159303665161], step: 10600, lr: 9.971289496681757e-05
2023-03-16 09:32:07,633	44k	INFO	====> Epoch: 22, cost 542.32 s
2023-03-16 09:33:15,136	44k	INFO	Train Epoch: 23 [13%]
2023-03-16 09:33:15,138	44k	INFO	Losses: [2.542282819747925, 2.167771100997925, 9.536635398864746, 20.894145965576172, 1.2026317119598389], step: 10800, lr: 9.970043085494672e-05
2023-03-16 09:36:14,489	44k	INFO	Train Epoch: 23 [54%]
2023-03-16 09:36:14,490	44k	INFO	Losses: [2.374000072479248, 2.178696870803833, 13.43363094329834, 20.896793365478516, 1.3948171138763428], step: 11000, lr: 9.970043085494672e-05
2023-03-16 09:39:14,759	44k	INFO	Train Epoch: 23 [95%]
2023-03-16 09:39:14,760	44k	INFO	Losses: [2.5829479694366455, 2.1564114093780518, 11.19134521484375, 22.142688751220703, 1.6007252931594849], step: 11200, lr: 9.970043085494672e-05
2023-03-16 09:39:30,755	44k	INFO	Saving model and optimizer state at iteration 23 to ./logs/44k/G_11200.pth
2023-03-16 09:39:34,805	44k	INFO	Saving model and optimizer state at iteration 23 to ./logs/44k/D_11200.pth
2023-03-16 09:39:37,520	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_7200.pth
2023-03-16 09:39:37,537	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_7200.pth
2023-03-16 09:40:01,345	44k	INFO	====> Epoch: 23, cost 473.71 s
2023-03-16 09:42:47,828	44k	INFO	Train Epoch: 24 [36%]
2023-03-16 09:42:47,830	44k	INFO	Losses: [2.660961866378784, 2.122011184692383, 6.772215843200684, 19.343496322631836, 1.1945880651474], step: 11400, lr: 9.968796830108985e-05
2023-03-16 09:45:48,287	44k	INFO	Train Epoch: 24 [77%]
2023-03-16 09:45:48,288	44k	INFO	Losses: [2.2675209045410156, 2.2053070068359375, 12.244622230529785, 24.114473342895508, 1.4315365552902222], step: 11600, lr: 9.968796830108985e-05
2023-03-16 09:47:30,743	44k	INFO	====> Epoch: 24, cost 449.40 s
2023-03-16 09:49:00,507	44k	INFO	Train Epoch: 25 [18%]
2023-03-16 09:49:00,510	44k	INFO	Losses: [2.452841281890869, 2.139713764190674, 10.158618927001953, 18.858318328857422, 0.9244416952133179], step: 11800, lr: 9.967550730505221e-05
2023-03-16 09:52:00,803	44k	INFO	Train Epoch: 25 [59%]
2023-03-16 09:52:00,805	44k	INFO	Losses: [2.6358675956726074, 2.1151206493377686, 8.482427597045898, 22.07154083251953, 1.5226523876190186], step: 12000, lr: 9.967550730505221e-05
2023-03-16 09:52:15,760	44k	INFO	Saving model and optimizer state at iteration 25 to ./logs/44k/G_12000.pth
2023-03-16 09:52:19,827	44k	INFO	Saving model and optimizer state at iteration 25 to ./logs/44k/D_12000.pth
2023-03-16 09:52:22,968	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_8000.pth
2023-03-16 09:52:22,987	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_8000.pth
2023-03-16 09:55:27,988	44k	INFO	====> Epoch: 25, cost 477.25 s
2023-03-16 09:55:36,778	44k	INFO	Train Epoch: 26 [0%]
2023-03-16 09:55:36,780	44k	INFO	Losses: [2.632934093475342, 2.035573959350586, 7.708637714385986, 19.25495719909668, 1.215615153312683], step: 12200, lr: 9.966304786663908e-05
2023-03-16 09:58:39,151	44k	INFO	Train Epoch: 26 [41%]
2023-03-16 09:58:39,153	44k	INFO	Losses: [2.489377975463867, 2.1507515907287598, 5.702184200286865, 17.984861373901367, 1.5492478609085083], step: 12400, lr: 9.966304786663908e-05
2023-03-16 10:01:40,958	44k	INFO	Train Epoch: 26 [82%]
2023-03-16 10:01:40,960	44k	INFO	Losses: [2.4334115982055664, 2.128483295440674, 11.235027313232422, 21.648330688476562, 1.0081102848052979], step: 12600, lr: 9.966304786663908e-05
2023-03-16 10:02:59,900	44k	INFO	====> Epoch: 26, cost 451.91 s
2023-03-16 10:04:51,001	44k	INFO	Train Epoch: 27 [23%]
2023-03-16 10:04:51,003	44k	INFO	Losses: [2.455256700515747, 2.060979127883911, 11.485939979553223, 22.15370750427246, 1.3699042797088623], step: 12800, lr: 9.965058998565574e-05
2023-03-16 10:05:04,279	44k	INFO	Saving model and optimizer state at iteration 27 to ./logs/44k/G_12800.pth
2023-03-16 10:05:08,665	44k	INFO	Saving model and optimizer state at iteration 27 to ./logs/44k/D_12800.pth
2023-03-16 10:05:11,969	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_8800.pth
2023-03-16 10:05:11,980	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_8800.pth
2023-03-16 10:08:15,586	44k	INFO	Train Epoch: 27 [64%]
2023-03-16 10:08:15,587	44k	INFO	Losses: [2.388317346572876, 2.4689040184020996, 9.226552963256836, 18.59186553955078, 1.4097687005996704], step: 13000, lr: 9.965058998565574e-05
2023-03-16 10:10:52,997	44k	INFO	====> Epoch: 27, cost 473.10 s
2023-03-16 10:11:24,251	44k	INFO	Train Epoch: 28 [5%]
2023-03-16 10:11:24,253	44k	INFO	Losses: [2.303039312362671, 2.3062708377838135, 10.330097198486328, 21.01088523864746, 1.7230188846588135], step: 13200, lr: 9.963813366190753e-05
2023-03-16 10:14:24,443	44k	INFO	Train Epoch: 28 [46%]
2023-03-16 10:14:24,444	44k	INFO	Losses: [2.550565481185913, 2.2409093379974365, 9.212244987487793, 20.167245864868164, 1.1931952238082886], step: 13400, lr: 9.963813366190753e-05
2023-03-16 10:17:24,817	44k	INFO	Train Epoch: 28 [87%]
2023-03-16 10:17:24,819	44k	INFO	Losses: [1.979323387145996, 2.996157169342041, 10.178831100463867, 17.771411895751953, 1.288474440574646], step: 13600, lr: 9.963813366190753e-05
2023-03-16 10:17:40,667	44k	INFO	Saving model and optimizer state at iteration 28 to ./logs/44k/G_13600.pth
2023-03-16 10:17:44,367	44k	INFO	Saving model and optimizer state at iteration 28 to ./logs/44k/D_13600.pth
2023-03-16 10:17:46,890	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_9600.pth
2023-03-16 10:17:46,892	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_9600.pth
2023-03-16 10:18:47,595	44k	INFO	====> Epoch: 28, cost 474.60 s
2023-03-16 10:20:59,559	44k	INFO	Train Epoch: 29 [28%]
2023-03-16 10:20:59,562	44k	INFO	Losses: [2.705497980117798, 1.7568820714950562, 4.887446403503418, 14.678738594055176, 1.1326416730880737], step: 13800, lr: 9.962567889519979e-05
2023-03-16 10:23:59,055	44k	INFO	Train Epoch: 29 [69%]
2023-03-16 10:23:59,056	44k	INFO	Losses: [2.522183656692505, 2.2034082412719727, 10.945884704589844, 23.23166275024414, 1.325547456741333], step: 14000, lr: 9.962567889519979e-05
2023-03-16 10:26:15,796	44k	INFO	====> Epoch: 29, cost 448.20 s
2023-03-16 10:27:07,506	44k	INFO	Train Epoch: 30 [10%]
2023-03-16 10:27:07,508	44k	INFO	Losses: [2.671726942062378, 1.9347296953201294, 7.3934645652771, 15.718672752380371, 1.497109293937683], step: 14200, lr: 9.961322568533789e-05
2023-03-16 10:30:07,016	44k	INFO	Train Epoch: 30 [51%]
2023-03-16 10:30:07,018	44k	INFO	Losses: [2.6759390830993652, 2.072394847869873, 8.502863883972168, 18.489797592163086, 1.4777787923812866], step: 14400, lr: 9.961322568533789e-05
2023-03-16 10:30:21,281	44k	INFO	Saving model and optimizer state at iteration 30 to ./logs/44k/G_14400.pth
2023-03-16 10:30:24,797	44k	INFO	Saving model and optimizer state at iteration 30 to ./logs/44k/D_14400.pth
2023-03-16 10:30:27,016	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_10400.pth
2023-03-16 10:30:27,034	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_10400.pth
2023-03-16 10:33:29,984	44k	INFO	Train Epoch: 30 [92%]
2023-03-16 10:33:29,986	44k	INFO	Losses: [2.522040843963623, 2.346306324005127, 7.859183311462402, 19.24114418029785, 1.1200071573257446], step: 14600, lr: 9.961322568533789e-05
2023-03-16 10:34:05,792	44k	INFO	====> Epoch: 30, cost 470.00 s
2023-03-16 10:36:38,266	44k	INFO	Train Epoch: 31 [33%]
2023-03-16 10:36:38,268	44k	INFO	Losses: [2.8069024085998535, 1.9522345066070557, 7.851792812347412, 19.763160705566406, 1.047946572303772], step: 14800, lr: 9.960077403212722e-05
2023-03-16 10:39:39,697	44k	INFO	Train Epoch: 31 [74%]
2023-03-16 10:39:39,699	44k	INFO	Losses: [2.5202255249023438, 2.297905206680298, 10.847701072692871, 24.754371643066406, 1.4519727230072021], step: 15000, lr: 9.960077403212722e-05
2023-03-16 10:41:35,496	44k	INFO	====> Epoch: 31, cost 449.70 s
2023-03-16 10:42:50,278	44k	INFO	Train Epoch: 32 [15%]
2023-03-16 10:42:50,279	44k	INFO	Losses: [2.560187339782715, 2.428621292114258, 9.085417747497559, 21.535371780395508, 1.4692496061325073], step: 15200, lr: 9.95883239353732e-05
2023-03-16 10:43:03,248	44k	INFO	Saving model and optimizer state at iteration 32 to ./logs/44k/G_15200.pth
2023-03-16 10:43:07,035	44k	INFO	Saving model and optimizer state at iteration 32 to ./logs/44k/D_15200.pth
2023-03-16 10:43:09,169	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_11200.pth
2023-03-16 10:43:09,173	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_11200.pth
2023-03-16 10:46:14,178	44k	INFO	Train Epoch: 32 [56%]
2023-03-16 10:46:14,180	44k	INFO	Losses: [2.7253329753875732, 2.1714789867401123, 9.479945182800293, 20.28587532043457, 1.4515960216522217], step: 15400, lr: 9.95883239353732e-05
2023-03-16 10:49:16,102	44k	INFO	Train Epoch: 32 [97%]
2023-03-16 10:49:16,103	44k	INFO	Losses: [2.566298484802246, 2.1448235511779785, 6.149750232696533, 17.659595489501953, 1.2707719802856445], step: 15600, lr: 9.95883239353732e-05
2023-03-16 10:49:30,782	44k	INFO	====> Epoch: 32, cost 475.29 s
2023-03-16 10:52:28,370	44k	INFO	Train Epoch: 33 [38%]
2023-03-16 10:52:28,372	44k	INFO	Losses: [2.6889359951019287, 2.0892183780670166, 9.148015975952148, 21.44872283935547, 1.3934203386306763], step: 15800, lr: 9.957587539488128e-05
2023-03-16 10:55:27,899	44k	INFO	Train Epoch: 33 [79%]
2023-03-16 10:55:27,901	44k	INFO	Losses: [2.063403606414795, 3.245924711227417, 7.179663181304932, 12.818585395812988, 1.0402812957763672], step: 16000, lr: 9.957587539488128e-05
2023-03-16 10:55:42,676	44k	INFO	Saving model and optimizer state at iteration 33 to ./logs/44k/G_16000.pth
2023-03-16 10:55:47,384	44k	INFO	Saving model and optimizer state at iteration 33 to ./logs/44k/D_16000.pth
2023-03-16 10:55:49,917	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_12000.pth
2023-03-16 10:55:49,920	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_12000.pth
2023-03-16 10:57:27,208	44k	INFO	====> Epoch: 33, cost 476.43 s
2023-03-16 10:59:03,125	44k	INFO	Train Epoch: 34 [20%]
2023-03-16 10:59:03,127	44k	INFO	Losses: [2.7936315536499023, 2.233839273452759, 6.825787544250488, 18.035015106201172, 1.2573646306991577], step: 16200, lr: 9.956342841045691e-05
2023-03-16 11:02:05,520	44k	INFO	Train Epoch: 34 [61%]
2023-03-16 11:02:05,521	44k	INFO	Losses: [2.716434955596924, 2.1549556255340576, 8.152503967285156, 20.39545249938965, 1.2697386741638184], step: 16400, lr: 9.956342841045691e-05
2023-03-16 11:05:01,947	44k	INFO	====> Epoch: 34, cost 454.74 s
2023-03-16 11:05:18,816	44k	INFO	Train Epoch: 35 [2%]
2023-03-16 11:05:18,817	44k	INFO	Losses: [2.6796929836273193, 2.1861860752105713, 8.270397186279297, 18.147890090942383, 1.7037100791931152], step: 16600, lr: 9.95509829819056e-05
2023-03-16 11:08:21,403	44k	INFO	Train Epoch: 35 [43%]
2023-03-16 11:08:21,405	44k	INFO	Losses: [2.3818092346191406, 2.369901657104492, 9.482978820800781, 20.707965850830078, 1.5063105821609497], step: 16800, lr: 9.95509829819056e-05
2023-03-16 11:08:36,970	44k	INFO	Saving model and optimizer state at iteration 35 to ./logs/44k/G_16800.pth
2023-03-16 11:08:40,460	44k	INFO	Saving model and optimizer state at iteration 35 to ./logs/44k/D_16800.pth
2023-03-16 11:08:42,892	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_12800.pth
2023-03-16 11:08:42,895	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_12800.pth
2023-03-16 11:11:49,002	44k	INFO	Train Epoch: 35 [84%]
2023-03-16 11:11:49,004	44k	INFO	Losses: [2.5385072231292725, 2.3350865840911865, 7.238544464111328, 16.286821365356445, 1.0897456407546997], step: 17000, lr: 9.95509829819056e-05
2023-03-16 11:13:01,568	44k	INFO	====> Epoch: 35, cost 479.62 s
2023-03-16 11:15:03,566	44k	INFO	Train Epoch: 36 [25%]
2023-03-16 11:15:03,569	44k	INFO	Losses: [2.3334832191467285, 2.616835117340088, 9.474438667297363, 21.676931381225586, 1.425167441368103], step: 17200, lr: 9.953853910903285e-05
2023-03-16 11:18:15,346	44k	INFO	Train Epoch: 36 [66%]
2023-03-16 11:18:15,348	44k	INFO	Losses: [2.5393788814544678, 2.0842111110687256, 9.579951286315918, 22.571887969970703, 1.3158255815505981], step: 17400, lr: 9.953853910903285e-05
2023-03-16 11:20:48,685	44k	INFO	====> Epoch: 36, cost 467.12 s
2023-03-16 11:21:27,107	44k	INFO	Train Epoch: 37 [7%]
2023-03-16 11:21:27,109	44k	INFO	Losses: [2.6189870834350586, 2.2640576362609863, 4.732796669006348, 13.975717544555664, 1.2774616479873657], step: 17600, lr: 9.952609679164422e-05
2023-03-16 11:21:39,961	44k	INFO	Saving model and optimizer state at iteration 37 to ./logs/44k/G_17600.pth
2023-03-16 11:21:43,520	44k	INFO	Saving model and optimizer state at iteration 37 to ./logs/44k/D_17600.pth
2023-03-16 11:21:46,165	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_13600.pth
2023-03-16 11:21:46,171	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_13600.pth
2023-03-16 11:24:55,175	44k	INFO	Train Epoch: 37 [48%]
2023-03-16 11:24:55,176	44k	INFO	Losses: [2.3131136894226074, 2.3363685607910156, 12.300803184509277, 23.914302825927734, 1.3034307956695557], step: 17800, lr: 9.952609679164422e-05
2023-03-16 11:27:58,648	44k	INFO	Train Epoch: 37 [89%]
2023-03-16 11:27:58,649	44k	INFO	Losses: [2.5874199867248535, 2.112287998199463, 7.590005874633789, 23.086366653442383, 1.510000228881836], step: 18000, lr: 9.952609679164422e-05
2023-03-16 11:28:51,168	44k	INFO	====> Epoch: 37, cost 482.48 s
2023-03-16 11:31:12,811	44k	INFO	Train Epoch: 38 [30%]
2023-03-16 11:31:12,813	44k	INFO	Losses: [2.484844446182251, 2.642493486404419, 9.594411849975586, 17.566965103149414, 1.5320457220077515], step: 18200, lr: 9.951365602954526e-05
2023-03-16 11:34:16,038	44k	INFO	Train Epoch: 38 [70%]
2023-03-16 11:34:16,040	44k	INFO	Losses: [2.484736680984497, 2.19224214553833, 10.893013954162598, 21.40000343322754, 1.2885123491287231], step: 18400, lr: 9.951365602954526e-05
2023-03-16 11:34:29,583	44k	INFO	Saving model and optimizer state at iteration 38 to ./logs/44k/G_18400.pth
2023-03-16 11:34:33,282	44k	INFO	Saving model and optimizer state at iteration 38 to ./logs/44k/D_18400.pth
2023-03-16 11:34:35,944	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_14400.pth
2023-03-16 11:34:35,946	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_14400.pth
2023-03-16 11:36:52,128	44k	INFO	====> Epoch: 38, cost 480.96 s
2023-03-16 11:37:53,458	44k	INFO	Train Epoch: 39 [11%]
2023-03-16 11:37:53,460	44k	INFO	Losses: [2.5545494556427, 2.284029483795166, 11.76029109954834, 20.730674743652344, 1.5566941499710083], step: 18600, lr: 9.950121682254156e-05
2023-03-16 11:40:56,946	44k	INFO	Train Epoch: 39 [52%]
2023-03-16 11:40:56,948	44k	INFO	Losses: [2.4372613430023193, 2.4106082916259766, 10.181136131286621, 17.73690414428711, 1.1941860914230347], step: 18800, lr: 9.950121682254156e-05
2023-03-16 11:44:00,091	44k	INFO	Train Epoch: 39 [93%]
2023-03-16 11:44:00,093	44k	INFO	Losses: [2.6526505947113037, 2.0136594772338867, 6.850375652313232, 15.903082847595215, 1.1818984746932983], step: 19000, lr: 9.950121682254156e-05
2023-03-16 11:44:29,303	44k	INFO	====> Epoch: 39, cost 457.18 s
2023-03-16 11:47:12,652	44k	INFO	Train Epoch: 40 [34%]
2023-03-16 11:47:12,653	44k	INFO	Losses: [2.518411636352539, 2.215726375579834, 7.488936424255371, 19.28771209716797, 1.1380958557128906], step: 19200, lr: 9.948877917043875e-05
2023-03-16 11:47:26,532	44k	INFO	Saving model and optimizer state at iteration 40 to ./logs/44k/G_19200.pth
2023-03-16 11:47:30,348	44k	INFO	Saving model and optimizer state at iteration 40 to ./logs/44k/D_19200.pth
2023-03-16 11:47:33,089	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_15200.pth
2023-03-16 11:47:33,093	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_15200.pth
2023-03-16 11:50:41,305	44k	INFO	Train Epoch: 40 [75%]
2023-03-16 11:50:41,308	44k	INFO	Losses: [2.6516857147216797, 1.9518625736236572, 7.348056316375732, 18.13136863708496, 1.400861144065857], step: 19400, lr: 9.948877917043875e-05
2023-03-16 11:52:31,631	44k	INFO	====> Epoch: 40, cost 482.33 s
2023-03-16 11:53:54,794	44k	INFO	Train Epoch: 41 [16%]
2023-03-16 11:53:54,795	44k	INFO	Losses: [2.536409854888916, 2.2687175273895264, 6.985504627227783, 18.625009536743164, 1.1701894998550415], step: 19600, lr: 9.947634307304244e-05
2023-03-16 11:56:57,924	44k	INFO	Train Epoch: 41 [57%]
2023-03-16 11:56:57,926	44k	INFO	Losses: [2.496490478515625, 2.422637701034546, 10.175827980041504, 23.408754348754883, 1.5327624082565308], step: 19800, lr: 9.947634307304244e-05
2023-03-16 12:00:01,182	44k	INFO	Train Epoch: 41 [98%]
2023-03-16 12:00:01,184	44k	INFO	Losses: [2.481825590133667, 2.140934705734253, 8.170811653137207, 17.614809036254883, 1.6691944599151611], step: 20000, lr: 9.947634307304244e-05
2023-03-16 12:00:16,375	44k	INFO	Saving model and optimizer state at iteration 41 to ./logs/44k/G_20000.pth
2023-03-16 12:00:20,051	44k	INFO	Saving model and optimizer state at iteration 41 to ./logs/44k/D_20000.pth
2023-03-16 12:00:22,588	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_16000.pth
2023-03-16 12:00:22,595	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_16000.pth
2023-03-16 12:00:30,390	44k	INFO	====> Epoch: 41, cost 478.76 s
2023-03-16 12:03:38,157	44k	INFO	Train Epoch: 42 [39%]
2023-03-16 12:03:38,159	44k	INFO	Losses: [2.601439952850342, 1.8881006240844727, 9.187948226928711, 20.55603790283203, 1.2415629625320435], step: 20200, lr: 9.94639085301583e-05
2023-03-16 12:06:40,201	44k	INFO	Train Epoch: 42 [80%]
2023-03-16 12:06:40,203	44k	INFO	Losses: [2.513798952102661, 2.03918194770813, 9.119217872619629, 17.703624725341797, 1.2781336307525635], step: 20400, lr: 9.94639085301583e-05
2023-03-16 12:08:08,541	44k	INFO	====> Epoch: 42, cost 458.15 s
2023-03-16 12:09:52,800	44k	INFO	Train Epoch: 43 [21%]
2023-03-16 12:09:52,802	44k	INFO	Losses: [2.4725472927093506, 1.8947622776031494, 8.817089080810547, 21.94397735595703, 1.1570287942886353], step: 20600, lr: 9.945147554159202e-05
2023-03-16 12:12:55,411	44k	INFO	Train Epoch: 43 [62%]
2023-03-16 12:12:55,412	44k	INFO	Losses: [2.4212989807128906, 2.178441286087036, 7.221798419952393, 19.40806007385254, 1.236891508102417], step: 20800, lr: 9.945147554159202e-05
2023-03-16 12:13:10,434	44k	INFO	Saving model and optimizer state at iteration 43 to ./logs/44k/G_20800.pth
2023-03-16 12:13:15,293	44k	INFO	Saving model and optimizer state at iteration 43 to ./logs/44k/D_20800.pth
2023-03-16 12:13:18,056	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_16800.pth
2023-03-16 12:13:18,059	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_16800.pth
2023-03-16 12:16:10,935	44k	INFO	====> Epoch: 43, cost 482.39 s
2023-03-16 12:16:36,145	44k	INFO	Train Epoch: 44 [3%]
2023-03-16 12:16:36,147	44k	INFO	Losses: [2.422684669494629, 2.3103551864624023, 9.979968070983887, 17.907142639160156, 1.0299410820007324], step: 21000, lr: 9.943904410714931e-05
2023-03-16 12:19:38,596	44k	INFO	Train Epoch: 44 [44%]
2023-03-16 12:19:38,598	44k	INFO	Losses: [2.624260425567627, 2.2220616340637207, 9.346229553222656, 19.159770965576172, 1.3557531833648682], step: 21200, lr: 9.943904410714931e-05
2023-03-16 12:22:41,429	44k	INFO	Train Epoch: 44 [85%]
2023-03-16 12:22:41,431	44k	INFO	Losses: [2.684530258178711, 2.0625109672546387, 9.31837272644043, 21.707088470458984, 1.265385389328003], step: 21400, lr: 9.943904410714931e-05
2023-03-16 12:23:47,716	44k	INFO	====> Epoch: 44, cost 456.78 s
2023-03-16 12:25:53,464	44k	INFO	Train Epoch: 45 [26%]
2023-03-16 12:25:53,466	44k	INFO	Losses: [2.6503918170928955, 1.9353251457214355, 6.973599433898926, 17.195920944213867, 1.2290711402893066], step: 21600, lr: 9.942661422663591e-05
2023-03-16 12:26:07,310	44k	INFO	Saving model and optimizer state at iteration 45 to ./logs/44k/G_21600.pth
2023-03-16 12:26:11,159	44k	INFO	Saving model and optimizer state at iteration 45 to ./logs/44k/D_21600.pth
2023-03-16 12:26:13,507	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_17600.pth
2023-03-16 12:26:13,616	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_17600.pth
2023-03-16 12:29:20,986	44k	INFO	Train Epoch: 45 [67%]
2023-03-16 12:29:20,988	44k	INFO	Losses: [2.5444116592407227, 2.2055976390838623, 12.526103973388672, 20.060684204101562, 1.3477643728256226], step: 21800, lr: 9.942661422663591e-05
2023-03-16 12:31:47,133	44k	INFO	====> Epoch: 45, cost 479.42 s
2023-03-16 12:32:33,687	44k	INFO	Train Epoch: 46 [8%]
2023-03-16 12:32:33,689	44k	INFO	Losses: [2.439268112182617, 2.4360885620117188, 9.108556747436523, 18.97551727294922, 1.3491157293319702], step: 22000, lr: 9.941418589985758e-05
2023-03-16 12:35:36,846	44k	INFO	Train Epoch: 46 [49%]
2023-03-16 12:35:36,847	44k	INFO	Losses: [2.766345739364624, 2.1339211463928223, 9.848959922790527, 20.946237564086914, 1.1080049276351929], step: 22200, lr: 9.941418589985758e-05
2023-03-16 12:38:38,888	44k	INFO	Train Epoch: 46 [90%]
2023-03-16 12:38:38,890	44k	INFO	Losses: [2.5533759593963623, 2.1898012161254883, 7.086889743804932, 16.532241821289062, 1.2960323095321655], step: 22400, lr: 9.941418589985758e-05
2023-03-16 12:38:54,627	44k	INFO	Saving model and optimizer state at iteration 46 to ./logs/44k/G_22400.pth
2023-03-16 12:38:59,188	44k	INFO	Saving model and optimizer state at iteration 46 to ./logs/44k/D_22400.pth
2023-03-16 12:39:01,627	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_18400.pth
2023-03-16 12:39:01,630	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_18400.pth
2023-03-16 12:39:48,846	44k	INFO	====> Epoch: 46, cost 481.71 s
2023-03-16 12:42:15,315	44k	INFO	Train Epoch: 47 [31%]
2023-03-16 12:42:15,317	44k	INFO	Losses: [2.5099427700042725, 2.297588348388672, 10.203536987304688, 20.232912063598633, 1.2333426475524902], step: 22600, lr: 9.940175912662009e-05
2023-03-16 12:45:17,085	44k	INFO	Train Epoch: 47 [72%]
2023-03-16 12:45:17,087	44k	INFO	Losses: [2.528428316116333, 2.2028472423553467, 8.007969856262207, 20.613597869873047, 1.0816898345947266], step: 22800, lr: 9.940175912662009e-05
2023-03-16 12:47:21,944	44k	INFO	====> Epoch: 47, cost 453.10 s
2023-03-16 12:48:29,987	44k	INFO	Train Epoch: 48 [13%]
2023-03-16 12:48:29,989	44k	INFO	Losses: [2.621966600418091, 2.0755844116210938, 10.405730247497559, 20.60601234436035, 1.1892584562301636], step: 23000, lr: 9.938933390672926e-05
2023-03-16 12:51:32,046	44k	INFO	Train Epoch: 48 [54%]
2023-03-16 12:51:32,047	44k	INFO	Losses: [2.6453280448913574, 2.0276060104370117, 7.4733195304870605, 19.877803802490234, 1.192906141281128], step: 23200, lr: 9.938933390672926e-05
2023-03-16 12:51:45,700	44k	INFO	Saving model and optimizer state at iteration 48 to ./logs/44k/G_23200.pth
2023-03-16 12:51:49,463	44k	INFO	Saving model and optimizer state at iteration 48 to ./logs/44k/D_23200.pth
2023-03-16 12:51:51,802	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_19200.pth
2023-03-16 12:51:51,806	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_19200.pth
2023-03-16 12:54:59,207	44k	INFO	Train Epoch: 48 [95%]
2023-03-16 12:54:59,209	44k	INFO	Losses: [2.703230381011963, 2.1648409366607666, 6.074045658111572, 16.42542266845703, 1.2859731912612915], step: 23400, lr: 9.938933390672926e-05
2023-03-16 12:55:21,251	44k	INFO	====> Epoch: 48, cost 479.31 s
2023-03-16 12:58:10,582	44k	INFO	Train Epoch: 49 [36%]
2023-03-16 12:58:10,583	44k	INFO	Losses: [2.625852108001709, 2.2031400203704834, 7.755006790161133, 21.79294776916504, 1.3348978757858276], step: 23600, lr: 9.937691023999092e-05
2023-03-16 13:01:11,763	44k	INFO	Train Epoch: 49 [77%]
2023-03-16 13:01:11,765	44k	INFO	Losses: [2.569096088409424, 2.3753645420074463, 8.749518394470215, 22.141204833984375, 1.291549801826477], step: 23800, lr: 9.937691023999092e-05
2023-03-16 13:02:53,329	44k	INFO	====> Epoch: 49, cost 452.08 s
2023-03-16 13:04:23,280	44k	INFO	Train Epoch: 50 [18%]
2023-03-16 13:04:23,282	44k	INFO	Losses: [2.3723580837249756, 2.2730939388275146, 6.994572162628174, 17.355161666870117, 1.2401801347732544], step: 24000, lr: 9.936448812621091e-05
2023-03-16 13:04:35,124	44k	INFO	Saving model and optimizer state at iteration 50 to ./logs/44k/G_24000.pth
2023-03-16 13:04:38,935	44k	INFO	Saving model and optimizer state at iteration 50 to ./logs/44k/D_24000.pth
2023-03-16 13:04:41,288	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_20000.pth
2023-03-16 13:04:41,290	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_20000.pth
2023-03-16 13:07:50,407	44k	INFO	Train Epoch: 50 [59%]
2023-03-16 13:07:50,409	44k	INFO	Losses: [2.6356141567230225, 2.267526149749756, 8.210156440734863, 19.540035247802734, 1.498274326324463], step: 24200, lr: 9.936448812621091e-05
2023-03-16 13:18:50,606	44k	INFO	{'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 31415926, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 6, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 10240, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 512, 'port': '8001', 'keep_ckpts': 5}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 44100, 'filter_length': 2048, 'hop_length': 512, 'win_length': 2048, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': 22050}, '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, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 200}, 'spk': {'爱梅斯': 0, '花凛': 1, '佩可莉姆': 2, '咲恋': 3, '凯露': 4, '可可萝': 5}, 'model_dir': './logs/44k'}
2023-03-16 13:19:08,091	44k	INFO	Loaded checkpoint './logs/44k/G_24000.pth' (iteration 50)
2023-03-16 13:19:14,233	44k	INFO	Loaded checkpoint './logs/44k/D_24000.pth' (iteration 50)
2023-03-16 13:21:04,243	44k	INFO	Train Epoch: 50 [18%]
2023-03-16 13:21:04,245	44k	INFO	Losses: [2.4692835807800293, 2.446688413619995, 9.919221878051758, 18.332162857055664, 1.2991989850997925], step: 24000, lr: 9.935206756519513e-05
2023-03-16 13:21:20,507	44k	INFO	Saving model and optimizer state at iteration 50 to ./logs/44k/G_24000.pth
2023-03-16 13:21:24,266	44k	INFO	Saving model and optimizer state at iteration 50 to ./logs/44k/D_24000.pth
2023-03-16 13:24:53,448	44k	INFO	Train Epoch: 50 [59%]
2023-03-16 13:24:53,449	44k	INFO	Losses: [2.6354753971099854, 1.8232835531234741, 6.918533802032471, 18.028013229370117, 1.5363731384277344], step: 24200, lr: 9.935206756519513e-05
2023-03-16 13:28:13,483	44k	INFO	====> Epoch: 50, cost 562.88 s
2023-03-16 13:28:24,454	44k	INFO	Train Epoch: 51 [0%]
2023-03-16 13:28:24,456	44k	INFO	Losses: [2.6727185249328613, 2.263068675994873, 9.122915267944336, 19.228836059570312, 1.1437422037124634], step: 24400, lr: 9.933964855674948e-05
2023-03-16 13:31:30,374	44k	INFO	Train Epoch: 51 [41%]
2023-03-16 13:31:30,375	44k	INFO	Losses: [2.6017069816589355, 2.048917055130005, 7.151366233825684, 16.109514236450195, 1.212850570678711], step: 24600, lr: 9.933964855674948e-05
2023-03-16 13:34:36,146	44k	INFO	Train Epoch: 51 [82%]
2023-03-16 13:34:36,148	44k	INFO	Losses: [2.731339931488037, 2.316772937774658, 5.760687351226807, 17.271717071533203, 1.328108310699463], step: 24800, lr: 9.933964855674948e-05
2023-03-16 13:34:52,021	44k	INFO	Saving model and optimizer state at iteration 51 to ./logs/44k/G_24800.pth
2023-03-16 13:34:56,207	44k	INFO	Saving model and optimizer state at iteration 51 to ./logs/44k/D_24800.pth
2023-03-16 13:34:59,358	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_20800.pth
2023-03-16 13:34:59,364	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_20800.pth
2023-03-16 13:36:24,370	44k	INFO	====> Epoch: 51, cost 490.89 s
2023-03-16 13:38:18,613	44k	INFO	Train Epoch: 52 [23%]
2023-03-16 13:38:18,614	44k	INFO	Losses: [2.281430959701538, 2.505606174468994, 8.787135124206543, 16.645620346069336, 1.3416118621826172], step: 25000, lr: 9.932723110067987e-05
2023-03-16 13:41:22,474	44k	INFO	Train Epoch: 52 [64%]
2023-03-16 13:41:22,476	44k	INFO	Losses: [2.5741732120513916, 2.077474355697632, 7.083030700683594, 16.91986846923828, 1.1220862865447998], step: 25200, lr: 9.932723110067987e-05
2023-03-16 13:44:05,932	44k	INFO	====> Epoch: 52, cost 461.56 s
2023-03-16 13:44:37,727	44k	INFO	Train Epoch: 53 [5%]
2023-03-16 13:44:37,729	44k	INFO	Losses: [2.3706090450286865, 2.169912338256836, 10.625147819519043, 20.189577102661133, 1.2919025421142578], step: 25400, lr: 9.931481519679228e-05
2023-03-16 13:47:42,908	44k	INFO	Train Epoch: 53 [46%]
2023-03-16 13:47:42,910	44k	INFO	Losses: [2.587810754776001, 2.067965507507324, 6.724053382873535, 15.212294578552246, 1.0409502983093262], step: 25600, lr: 9.931481519679228e-05
2023-03-16 13:47:59,569	44k	INFO	Saving model and optimizer state at iteration 53 to ./logs/44k/G_25600.pth
2023-03-16 13:48:03,659	44k	INFO	Saving model and optimizer state at iteration 53 to ./logs/44k/D_25600.pth
2023-03-16 13:48:05,910	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_21600.pth
2023-03-16 13:48:05,912	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_21600.pth
2023-03-16 13:51:13,566	44k	INFO	Train Epoch: 53 [87%]
2023-03-16 13:51:13,567	44k	INFO	Losses: [2.454693078994751, 2.2848057746887207, 9.469411849975586, 20.335559844970703, 1.1935824155807495], step: 25800, lr: 9.931481519679228e-05
2023-03-16 13:52:11,933	44k	INFO	====> Epoch: 53, cost 486.00 s
2023-03-16 13:54:25,973	44k	INFO	Train Epoch: 54 [28%]
2023-03-16 13:54:25,976	44k	INFO	Losses: [2.7108962535858154, 1.9522663354873657, 4.4008307456970215, 16.614524841308594, 1.340120792388916], step: 26000, lr: 9.930240084489267e-05
2023-03-16 13:57:31,068	44k	INFO	Train Epoch: 54 [69%]
2023-03-16 13:57:31,070	44k	INFO	Losses: [2.744401216506958, 2.2820606231689453, 9.002656936645508, 18.787479400634766, 1.3171197175979614], step: 26200, lr: 9.930240084489267e-05
2023-03-16 13:59:50,364	44k	INFO	====> Epoch: 54, cost 458.43 s
2023-03-16 14:00:44,449	44k	INFO	Train Epoch: 55 [10%]
2023-03-16 14:00:44,450	44k	INFO	Losses: [2.677558660507202, 2.4664900302886963, 6.928734302520752, 18.922264099121094, 1.5801939964294434], step: 26400, lr: 9.928998804478705e-05
2023-03-16 14:00:57,828	44k	INFO	Saving model and optimizer state at iteration 55 to ./logs/44k/G_26400.pth
2023-03-16 14:01:01,470	44k	INFO	Saving model and optimizer state at iteration 55 to ./logs/44k/D_26400.pth
2023-03-16 14:01:03,778	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_22400.pth
2023-03-16 14:01:03,780	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_22400.pth
2023-03-16 14:04:11,857	44k	INFO	Train Epoch: 55 [51%]
2023-03-16 14:04:11,859	44k	INFO	Losses: [2.7008979320526123, 2.170504570007324, 7.963308811187744, 16.859394073486328, 1.2103198766708374], step: 26600, lr: 9.928998804478705e-05
2023-03-16 14:07:14,951	44k	INFO	Train Epoch: 55 [92%]
2023-03-16 14:07:14,952	44k	INFO	Losses: [2.6881911754608154, 2.193416118621826, 9.614363670349121, 18.391061782836914, 1.0457745790481567], step: 26800, lr: 9.928998804478705e-05
2023-03-16 14:07:51,057	44k	INFO	====> Epoch: 55, cost 480.69 s
2023-03-16 14:10:29,798	44k	INFO	Train Epoch: 56 [33%]
2023-03-16 14:10:29,799	44k	INFO	Losses: [2.516676902770996, 2.070483922958374, 7.8622002601623535, 17.59926414489746, 1.2309237718582153], step: 27000, lr: 9.927757679628145e-05
2023-03-16 14:13:34,381	44k	INFO	Train Epoch: 56 [74%]
2023-03-16 14:13:34,383	44k	INFO	Losses: [2.5253868103027344, 1.8196165561676025, 8.880829811096191, 19.75553321838379, 1.2578105926513672], step: 27200, lr: 9.927757679628145e-05
2023-03-16 14:13:51,642	44k	INFO	Saving model and optimizer state at iteration 56 to ./logs/44k/G_27200.pth
2023-03-16 14:13:56,432	44k	INFO	Saving model and optimizer state at iteration 56 to ./logs/44k/D_27200.pth
2023-03-16 14:13:58,969	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_23200.pth
2023-03-16 14:13:58,973	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_23200.pth
2023-03-16 14:16:00,712	44k	INFO	====> Epoch: 56, cost 489.66 s
2023-03-16 14:17:16,039	44k	INFO	Train Epoch: 57 [15%]
2023-03-16 14:17:16,042	44k	INFO	Losses: [2.481264352798462, 2.1093060970306396, 9.263083457946777, 20.112600326538086, 1.4384979009628296], step: 27400, lr: 9.926516709918191e-05
2023-03-16 14:20:19,995	44k	INFO	Train Epoch: 57 [56%]
2023-03-16 14:20:19,996	44k	INFO	Losses: [2.3411600589752197, 2.582979917526245, 8.98721981048584, 18.274932861328125, 1.3591454029083252], step: 27600, lr: 9.926516709918191e-05
2023-03-16 14:23:26,121	44k	INFO	Train Epoch: 57 [97%]
2023-03-16 14:23:26,123	44k	INFO	Losses: [2.5430245399475098, 1.9995101690292358, 6.614638328552246, 17.214950561523438, 1.2342784404754639], step: 27800, lr: 9.926516709918191e-05
2023-03-16 14:23:40,662	44k	INFO	====> Epoch: 57, cost 459.95 s
2023-03-16 14:26:39,495	44k	INFO	Train Epoch: 58 [38%]
2023-03-16 14:26:39,497	44k	INFO	Losses: [2.5874879360198975, 1.973245620727539, 6.864962100982666, 19.247074127197266, 1.2281551361083984], step: 28000, lr: 9.92527589532945e-05
2023-03-16 14:26:54,223	44k	INFO	Saving model and optimizer state at iteration 58 to ./logs/44k/G_28000.pth
2023-03-16 14:26:58,086	44k	INFO	Saving model and optimizer state at iteration 58 to ./logs/44k/D_28000.pth
2023-03-16 14:27:00,305	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_24000.pth
2023-03-16 14:27:00,312	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_24000.pth
2023-03-16 14:30:09,423	44k	INFO	Train Epoch: 58 [79%]
2023-03-16 14:30:09,424	44k	INFO	Losses: [2.6614861488342285, 2.2932651042938232, 8.656551361083984, 15.753890037536621, 1.2384966611862183], step: 28200, lr: 9.92527589532945e-05
2023-03-16 14:31:45,198	44k	INFO	====> Epoch: 58, cost 484.54 s
2023-03-16 14:33:22,982	44k	INFO	Train Epoch: 59 [20%]
2023-03-16 14:33:22,984	44k	INFO	Losses: [2.562333106994629, 2.3804547786712646, 7.292979717254639, 16.645328521728516, 1.4423201084136963], step: 28400, lr: 9.924035235842533e-05
2023-03-16 14:36:27,026	44k	INFO	Train Epoch: 59 [61%]
2023-03-16 14:36:27,028	44k	INFO	Losses: [2.772216558456421, 1.995288372039795, 6.699609279632568, 18.315597534179688, 1.2430319786071777], step: 28600, lr: 9.924035235842533e-05
2023-03-16 14:39:25,019	44k	INFO	====> Epoch: 59, cost 459.82 s
2023-03-16 14:39:42,561	44k	INFO	Train Epoch: 60 [2%]
2023-03-16 14:39:42,562	44k	INFO	Losses: [2.707663059234619, 2.218473434448242, 9.781296730041504, 20.252290725708008, 1.1182050704956055], step: 28800, lr: 9.922794731438052e-05
2023-03-16 14:39:54,764	44k	INFO	Saving model and optimizer state at iteration 60 to ./logs/44k/G_28800.pth
2023-03-16 14:39:58,339	44k	INFO	Saving model and optimizer state at iteration 60 to ./logs/44k/D_28800.pth
2023-03-16 14:40:00,560	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_24800.pth
2023-03-16 14:40:00,564	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_24800.pth
2023-03-16 14:43:10,570	44k	INFO	Train Epoch: 60 [43%]
2023-03-16 14:43:10,572	44k	INFO	Losses: [2.573453187942505, 2.1995015144348145, 8.725892066955566, 17.742557525634766, 1.2147800922393799], step: 29000, lr: 9.922794731438052e-05
2023-03-16 14:46:16,093	44k	INFO	Train Epoch: 60 [84%]
2023-03-16 14:46:16,094	44k	INFO	Losses: [2.4506399631500244, 2.4774932861328125, 11.0800199508667, 22.124006271362305, 1.2493702173233032], step: 29200, lr: 9.922794731438052e-05
2023-03-16 14:47:31,690	44k	INFO	====> Epoch: 60, cost 486.67 s
2023-03-16 14:49:32,572	44k	INFO	Train Epoch: 61 [25%]
2023-03-16 14:49:32,575	44k	INFO	Losses: [2.3690905570983887, 2.454897403717041, 11.587372779846191, 21.197277069091797, 1.450961709022522], step: 29400, lr: 9.921554382096622e-05
2023-03-16 14:52:36,753	44k	INFO	Train Epoch: 61 [66%]
2023-03-16 14:52:36,755	44k	INFO	Losses: [2.574634313583374, 2.2488276958465576, 8.2444486618042, 21.25333595275879, 1.4296631813049316], step: 29600, lr: 9.921554382096622e-05
2023-03-16 14:52:52,182	44k	INFO	Saving model and optimizer state at iteration 61 to ./logs/44k/G_29600.pth
2023-03-16 14:52:55,550	44k	INFO	Saving model and optimizer state at iteration 61 to ./logs/44k/D_29600.pth
2023-03-16 14:52:57,851	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_25600.pth
2023-03-16 14:52:57,855	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_25600.pth
2023-03-16 14:55:36,150	44k	INFO	====> Epoch: 61, cost 484.46 s
2023-03-16 14:56:14,546	44k	INFO	Train Epoch: 62 [7%]
2023-03-16 14:56:14,547	44k	INFO	Losses: [2.6944408416748047, 1.9618580341339111, 3.0558042526245117, 11.302093505859375, 0.9839851260185242], step: 29800, lr: 9.92031418779886e-05
2023-03-16 14:59:18,905	44k	INFO	Train Epoch: 62 [48%]
2023-03-16 14:59:18,907	44k	INFO	Losses: [2.532884120941162, 1.979246973991394, 9.408533096313477, 18.637187957763672, 1.2008438110351562], step: 30000, lr: 9.92031418779886e-05
2023-03-16 15:02:23,794	44k	INFO	Train Epoch: 62 [89%]
2023-03-16 15:02:23,796	44k	INFO	Losses: [2.436702251434326, 2.5716209411621094, 6.511348724365234, 18.36617088317871, 1.4560133218765259], step: 30200, lr: 9.92031418779886e-05
2023-03-16 15:03:15,235	44k	INFO	====> Epoch: 62, cost 459.09 s
2023-03-16 15:05:39,062	44k	INFO	Train Epoch: 63 [30%]
2023-03-16 15:05:39,064	44k	INFO	Losses: [2.643864154815674, 2.4299960136413574, 8.278367042541504, 18.665084838867188, 1.2700059413909912], step: 30400, lr: 9.919074148525384e-05
2023-03-16 15:05:53,609	44k	INFO	Saving model and optimizer state at iteration 63 to ./logs/44k/G_30400.pth
2023-03-16 15:05:57,180	44k	INFO	Saving model and optimizer state at iteration 63 to ./logs/44k/D_30400.pth
2023-03-16 15:05:59,379	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_26400.pth
2023-03-16 15:05:59,383	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_26400.pth
2023-03-17 00:55:11,607	44k	INFO	{'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 31415926, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 6, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 10240, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 512, 'port': '8001', 'keep_ckpts': 5}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 44100, 'filter_length': 2048, 'hop_length': 512, 'win_length': 2048, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': 22050}, '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, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 200}, 'spk': {'爱梅斯': 0, '花凛': 1, '佩可莉姆': 2, '咲恋': 3, '凯露': 4, '可可萝': 5}, 'model_dir': './logs/44k'}
2023-03-17 00:55:12,238	44k	WARNING	git hash values are different. 55dd086f(saved) != d54bf592(current)
2023-03-17 00:55:29,828	44k	INFO	Loaded checkpoint './logs/44k/G_30400.pth' (iteration 63)
2023-03-17 00:55:36,918	44k	INFO	Loaded checkpoint './logs/44k/D_30400.pth' (iteration 63)
2023-03-17 00:58:11,773	44k	INFO	Train Epoch: 63 [30%]
2023-03-17 00:58:11,774	44k	INFO	Losses: [2.484586715698242, 2.1262001991271973, 12.090802192687988, 19.90692138671875, 1.6595423221588135], step: 30400, lr: 9.917834264256819e-05
2023-03-17 00:58:29,244	44k	INFO	Saving model and optimizer state at iteration 63 to ./logs/44k/G_30400.pth
2023-03-17 00:58:32,687	44k	INFO	Saving model and optimizer state at iteration 63 to ./logs/44k/D_30400.pth
2023-03-17 01:01:48,810	44k	INFO	Train Epoch: 63 [70%]
2023-03-17 01:01:48,812	44k	INFO	Losses: [2.4645233154296875, 2.318657875061035, 10.524216651916504, 21.752504348754883, 1.1110655069351196], step: 30600, lr: 9.917834264256819e-05
2023-03-17 01:04:16,840	44k	INFO	====> Epoch: 63, cost 545.24 s
2023-03-17 01:05:17,249	44k	INFO	Train Epoch: 64 [11%]
2023-03-17 01:05:17,251	44k	INFO	Losses: [2.609168529510498, 2.2651188373565674, 8.148669242858887, 17.156068801879883, 1.2939645051956177], step: 30800, lr: 9.916594534973787e-05
2023-03-17 01:08:15,527	44k	INFO	Train Epoch: 64 [52%]
2023-03-17 01:08:15,528	44k	INFO	Losses: [2.5646047592163086, 2.2578229904174805, 9.680649757385254, 20.996994018554688, 1.3195247650146484], step: 31000, lr: 9.916594534973787e-05
2023-03-17 01:11:14,200	44k	INFO	Train Epoch: 64 [93%]
2023-03-17 01:11:14,202	44k	INFO	Losses: [2.707653760910034, 1.959355354309082, 6.446928024291992, 18.784202575683594, 1.1379108428955078], step: 31200, lr: 9.916594534973787e-05
2023-03-17 01:11:29,528	44k	INFO	Saving model and optimizer state at iteration 64 to ./logs/44k/G_31200.pth
2023-03-17 01:11:33,456	44k	INFO	Saving model and optimizer state at iteration 64 to ./logs/44k/D_31200.pth
2023-03-17 01:11:36,257	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_27200.pth
2023-03-17 01:11:36,259	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_27200.pth
2023-03-17 01:12:07,394	44k	INFO	====> Epoch: 64, cost 470.55 s
2023-03-17 01:14:45,135	44k	INFO	Train Epoch: 65 [34%]
2023-03-17 01:14:45,136	44k	INFO	Losses: [2.748737335205078, 1.7619506120681763, 6.99699592590332, 13.925227165222168, 1.3247754573822021], step: 31400, lr: 9.915354960656915e-05
2023-03-17 01:17:44,326	44k	INFO	Train Epoch: 65 [75%]
2023-03-17 01:17:44,327	44k	INFO	Losses: [2.718717336654663, 2.2537217140197754, 10.094719886779785, 20.878253936767578, 1.1247361898422241], step: 31600, lr: 9.915354960656915e-05
2023-03-17 01:19:30,952	44k	INFO	====> Epoch: 65, cost 443.56 s
2023-03-17 01:20:51,867	44k	INFO	Train Epoch: 66 [16%]
2023-03-17 01:20:51,868	44k	INFO	Losses: [2.3518831729888916, 2.8273115158081055, 8.577445983886719, 19.460765838623047, 1.025953769683838], step: 31800, lr: 9.914115541286833e-05
2023-03-17 01:23:52,305	44k	INFO	Train Epoch: 66 [57%]
2023-03-17 01:23:52,307	44k	INFO	Losses: [2.5832154750823975, 2.1611838340759277, 8.606710433959961, 20.580976486206055, 1.3249191045761108], step: 32000, lr: 9.914115541286833e-05
2023-03-17 01:24:06,025	44k	INFO	Saving model and optimizer state at iteration 66 to ./logs/44k/G_32000.pth
2023-03-17 01:24:10,093	44k	INFO	Saving model and optimizer state at iteration 66 to ./logs/44k/D_32000.pth
2023-03-17 01:24:12,284	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_28000.pth
2023-03-17 01:24:12,286	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_28000.pth
2023-03-17 01:27:15,629	44k	INFO	Train Epoch: 66 [98%]
2023-03-17 01:27:15,631	44k	INFO	Losses: [2.625286817550659, 1.89324152469635, 7.697768688201904, 18.995267868041992, 1.3168432712554932], step: 32200, lr: 9.914115541286833e-05
2023-03-17 01:27:23,354	44k	INFO	====> Epoch: 66, cost 472.40 s
2023-03-17 01:30:24,190	44k	INFO	Train Epoch: 67 [39%]
2023-03-17 01:30:24,192	44k	INFO	Losses: [2.5684475898742676, 1.8973731994628906, 5.9238057136535645, 15.734672546386719, 1.2734485864639282], step: 32400, lr: 9.912876276844171e-05
2023-03-17 01:33:24,520	44k	INFO	Train Epoch: 67 [80%]
2023-03-17 01:33:24,522	44k	INFO	Losses: [2.408538818359375, 2.245204210281372, 10.826396942138672, 18.869733810424805, 1.111036777496338], step: 32600, lr: 9.912876276844171e-05
2023-03-17 01:34:52,202	44k	INFO	====> Epoch: 67, cost 448.85 s
2023-03-17 01:36:35,928	44k	INFO	Train Epoch: 68 [21%]
2023-03-17 01:36:35,929	44k	INFO	Losses: [2.265761613845825, 2.315279483795166, 11.713556289672852, 20.679689407348633, 1.2566416263580322], step: 32800, lr: 9.911637167309565e-05
2023-03-17 01:36:50,601	44k	INFO	Saving model and optimizer state at iteration 68 to ./logs/44k/G_32800.pth
2023-03-17 01:36:54,549	44k	INFO	Saving model and optimizer state at iteration 68 to ./logs/44k/D_32800.pth
2023-03-17 01:36:56,776	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_28800.pth
2023-03-17 01:36:56,779	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_28800.pth
2023-03-17 01:40:01,065	44k	INFO	Train Epoch: 68 [62%]
2023-03-17 01:40:01,067	44k	INFO	Losses: [2.5711069107055664, 2.273301124572754, 9.78982925415039, 21.67451286315918, 1.2979782819747925], step: 33000, lr: 9.911637167309565e-05
2023-03-17 01:42:47,388	44k	INFO	====> Epoch: 68, cost 475.19 s
2023-03-17 01:43:12,092	44k	INFO	Train Epoch: 69 [3%]
2023-03-17 01:43:12,094	44k	INFO	Losses: [2.5658419132232666, 2.247443199157715, 8.636250495910645, 19.110456466674805, 0.9347850680351257], step: 33200, lr: 9.910398212663652e-05
2023-03-17 01:46:12,994	44k	INFO	Train Epoch: 69 [44%]
2023-03-17 01:46:12,996	44k	INFO	Losses: [2.575089454650879, 2.0063514709472656, 6.667556285858154, 15.460140228271484, 1.49322509765625], step: 33400, lr: 9.910398212663652e-05
2023-03-17 01:49:13,097	44k	INFO	Train Epoch: 69 [85%]
2023-03-17 01:49:13,098	44k	INFO	Losses: [2.4486289024353027, 2.355808734893799, 8.402924537658691, 17.28294563293457, 1.2662371397018433], step: 33600, lr: 9.910398212663652e-05
2023-03-17 01:49:27,684	44k	INFO	Saving model and optimizer state at iteration 69 to ./logs/44k/G_33600.pth
2023-03-17 01:49:32,158	44k	INFO	Saving model and optimizer state at iteration 69 to ./logs/44k/D_33600.pth
2023-03-17 01:49:34,780	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_29600.pth
2023-03-17 01:49:34,782	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_29600.pth
2023-03-17 01:50:42,388	44k	INFO	====> Epoch: 69, cost 475.00 s
2023-03-17 01:52:47,667	44k	INFO	Train Epoch: 70 [26%]
2023-03-17 01:52:47,669	44k	INFO	Losses: [2.460369825363159, 2.194075107574463, 8.44504165649414, 19.009178161621094, 1.248958945274353], step: 33800, lr: 9.909159412887068e-05
2023-03-17 01:55:48,421	44k	INFO	Train Epoch: 70 [67%]
2023-03-17 01:55:48,423	44k	INFO	Losses: [2.250486373901367, 2.3232510089874268, 9.388315200805664, 24.06303596496582, 1.0709611177444458], step: 34000, lr: 9.909159412887068e-05
2023-03-17 01:58:12,653	44k	INFO	====> Epoch: 70, cost 450.27 s
2023-03-17 01:58:57,115	44k	INFO	Train Epoch: 71 [8%]
2023-03-17 01:58:57,117	44k	INFO	Losses: [2.098215103149414, 2.404918670654297, 12.405963897705078, 19.657108306884766, 1.2732973098754883], step: 34200, lr: 9.907920767960457e-05
2023-03-17 02:01:55,786	44k	INFO	Train Epoch: 71 [49%]
2023-03-17 02:01:55,787	44k	INFO	Losses: [2.4711456298828125, 2.0794568061828613, 7.965388774871826, 15.10488510131836, 1.089398741722107], step: 34400, lr: 9.907920767960457e-05
2023-03-17 02:02:09,646	44k	INFO	Saving model and optimizer state at iteration 71 to ./logs/44k/G_34400.pth
2023-03-17 02:02:13,482	44k	INFO	Saving model and optimizer state at iteration 71 to ./logs/44k/D_34400.pth
2023-03-17 02:02:16,210	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_30400.pth
2023-03-17 02:02:16,217	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_30400.pth
2023-03-17 02:05:19,020	44k	INFO	Train Epoch: 71 [90%]
2023-03-17 02:05:19,022	44k	INFO	Losses: [2.2883424758911133, 2.2863283157348633, 9.164148330688477, 20.280336380004883, 1.2387274503707886], step: 34600, lr: 9.907920767960457e-05
2023-03-17 02:06:02,154	44k	INFO	====> Epoch: 71, cost 469.50 s
2023-03-17 02:08:28,471	44k	INFO	Train Epoch: 72 [31%]
2023-03-17 02:08:28,473	44k	INFO	Losses: [2.566708564758301, 2.31142258644104, 12.614298820495605, 18.949323654174805, 1.295151710510254], step: 34800, lr: 9.906682277864462e-05
2023-03-17 02:11:28,308	44k	INFO	Train Epoch: 72 [72%]
2023-03-17 02:11:28,309	44k	INFO	Losses: [2.516707420349121, 2.290302276611328, 7.738724231719971, 18.858633041381836, 1.1163291931152344], step: 35000, lr: 9.906682277864462e-05
2023-03-17 02:13:29,395	44k	INFO	====> Epoch: 72, cost 447.24 s
2023-03-17 02:14:36,053	44k	INFO	Train Epoch: 73 [13%]
2023-03-17 02:14:36,055	44k	INFO	Losses: [2.753389835357666, 2.287280559539795, 7.758563041687012, 18.239856719970703, 1.1111623048782349], step: 35200, lr: 9.905443942579728e-05
2023-03-17 02:14:47,943	44k	INFO	Saving model and optimizer state at iteration 73 to ./logs/44k/G_35200.pth
2023-03-17 02:14:51,336	44k	INFO	Saving model and optimizer state at iteration 73 to ./logs/44k/D_35200.pth
2023-03-17 02:14:53,801	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_31200.pth
2023-03-17 02:14:53,812	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_31200.pth
2023-03-17 02:17:56,905	44k	INFO	Train Epoch: 73 [54%]
2023-03-17 02:17:56,906	44k	INFO	Losses: [2.536832809448242, 2.287694215774536, 10.239502906799316, 20.189800262451172, 1.3937040567398071], step: 35400, lr: 9.905443942579728e-05
2023-03-17 02:20:56,202	44k	INFO	Train Epoch: 73 [95%]
2023-03-17 02:20:56,204	44k	INFO	Losses: [2.4674880504608154, 2.5104575157165527, 10.891117095947266, 20.02257537841797, 1.5259878635406494], step: 35600, lr: 9.905443942579728e-05
2023-03-17 02:21:18,812	44k	INFO	====> Epoch: 73, cost 469.42 s
2023-03-17 02:24:04,997	44k	INFO	Train Epoch: 74 [36%]
2023-03-17 02:24:04,999	44k	INFO	Losses: [2.658992290496826, 2.011537551879883, 8.290947914123535, 20.944766998291016, 1.3119019269943237], step: 35800, lr: 9.904205762086905e-05
2023-03-17 02:27:06,323	44k	INFO	Train Epoch: 74 [77%]
2023-03-17 02:27:06,324	44k	INFO	Losses: [2.4251742362976074, 2.3144357204437256, 10.027667999267578, 20.102537155151367, 1.2213525772094727], step: 36000, lr: 9.904205762086905e-05
2023-03-17 02:27:20,610	44k	INFO	Saving model and optimizer state at iteration 74 to ./logs/44k/G_36000.pth
2023-03-17 02:27:24,321	44k	INFO	Saving model and optimizer state at iteration 74 to ./logs/44k/D_36000.pth
2023-03-17 02:27:27,153	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_32000.pth
2023-03-17 02:27:27,158	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_32000.pth
2023-03-17 02:29:10,263	44k	INFO	====> Epoch: 74, cost 471.45 s
2023-03-17 02:30:39,027	44k	INFO	Train Epoch: 75 [18%]
2023-03-17 02:30:39,029	44k	INFO	Losses: [2.3514227867126465, 2.2037813663482666, 8.84196949005127, 17.636266708374023, 0.9482463598251343], step: 36200, lr: 9.902967736366644e-05
2023-03-17 02:33:38,694	44k	INFO	Train Epoch: 75 [59%]
2023-03-17 02:33:38,695	44k	INFO	Losses: [2.604753255844116, 2.139510154724121, 8.243342399597168, 19.139680862426758, 1.551486849784851], step: 36400, lr: 9.902967736366644e-05
2023-03-17 02:36:37,550	44k	INFO	====> Epoch: 75, cost 447.29 s
2023-03-17 02:36:47,116	44k	INFO	Train Epoch: 76 [0%]
2023-03-17 02:36:47,119	44k	INFO	Losses: [2.6522536277770996, 1.9894168376922607, 8.612791061401367, 16.956806182861328, 1.2624683380126953], step: 36600, lr: 9.901729865399597e-05
2023-03-17 02:39:47,033	44k	INFO	Train Epoch: 76 [41%]
2023-03-17 02:39:47,034	44k	INFO	Losses: [2.832819938659668, 1.9300906658172607, 4.573934555053711, 15.33503246307373, 1.078842282295227], step: 36800, lr: 9.901729865399597e-05
2023-03-17 02:40:00,318	44k	INFO	Saving model and optimizer state at iteration 76 to ./logs/44k/G_36800.pth
2023-03-17 02:40:03,828	44k	INFO	Saving model and optimizer state at iteration 76 to ./logs/44k/D_36800.pth
2023-03-17 02:40:05,949	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_32800.pth
2023-03-17 02:40:05,953	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_32800.pth
2023-03-17 02:43:10,219	44k	INFO	Train Epoch: 76 [82%]
2023-03-17 02:43:10,221	44k	INFO	Losses: [2.5366857051849365, 2.3596749305725098, 8.144891738891602, 18.23089027404785, 1.481116533279419], step: 37000, lr: 9.901729865399597e-05
2023-03-17 02:44:30,867	44k	INFO	====> Epoch: 76, cost 473.32 s
2023-03-17 02:46:20,092	44k	INFO	Train Epoch: 77 [23%]
2023-03-17 02:46:20,094	44k	INFO	Losses: [2.732069969177246, 2.531210422515869, 7.891313552856445, 14.55479907989502, 1.049509882926941], step: 37200, lr: 9.900492149166423e-05
2023-03-17 02:49:18,595	44k	INFO	Train Epoch: 77 [64%]
2023-03-17 02:49:18,597	44k	INFO	Losses: [2.479750633239746, 2.3029139041900635, 7.636006832122803, 16.742828369140625, 1.1809018850326538], step: 37400, lr: 9.900492149166423e-05
2023-03-17 02:51:57,636	44k	INFO	====> Epoch: 77, cost 446.77 s
2023-03-17 02:52:29,299	44k	INFO	Train Epoch: 78 [5%]
2023-03-17 02:52:29,301	44k	INFO	Losses: [2.436704635620117, 2.138270378112793, 11.176417350769043, 20.470787048339844, 1.0590966939926147], step: 37600, lr: 9.899254587647776e-05
2023-03-17 02:52:41,863	44k	INFO	Saving model and optimizer state at iteration 78 to ./logs/44k/G_37600.pth
2023-03-17 02:52:45,534	44k	INFO	Saving model and optimizer state at iteration 78 to ./logs/44k/D_37600.pth
2023-03-17 02:52:47,745	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_33600.pth
2023-03-17 02:52:47,748	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_33600.pth
2023-03-17 02:55:50,341	44k	INFO	Train Epoch: 78 [46%]
2023-03-17 02:55:50,342	44k	INFO	Losses: [2.348386526107788, 2.1494929790496826, 10.359945297241211, 18.013044357299805, 0.9645937085151672], step: 37800, lr: 9.899254587647776e-05
2023-03-17 02:58:50,043	44k	INFO	Train Epoch: 78 [87%]
2023-03-17 02:58:50,045	44k	INFO	Losses: [2.440535545349121, 2.4878768920898438, 7.8412299156188965, 18.96208381652832, 1.0696218013763428], step: 38000, lr: 9.899254587647776e-05
2023-03-17 02:59:47,374	44k	INFO	====> Epoch: 78, cost 469.74 s
2023-03-17 03:01:59,158	44k	INFO	Train Epoch: 79 [28%]
2023-03-17 03:01:59,159	44k	INFO	Losses: [2.6074976921081543, 2.1965298652648926, 6.797619819641113, 17.210399627685547, 1.206662893295288], step: 38200, lr: 9.89801718082432e-05
2023-03-17 03:04:59,637	44k	INFO	Train Epoch: 79 [69%]
2023-03-17 03:04:59,639	44k	INFO	Losses: [2.7296714782714844, 2.167003870010376, 8.956235885620117, 22.188779830932617, 1.2457859516143799], step: 38400, lr: 9.89801718082432e-05
2023-03-17 03:05:13,705	44k	INFO	Saving model and optimizer state at iteration 79 to ./logs/44k/G_38400.pth
2023-03-17 03:05:17,170	44k	INFO	Saving model and optimizer state at iteration 79 to ./logs/44k/D_38400.pth
2023-03-17 03:05:19,819	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_34400.pth
2023-03-17 03:05:19,824	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_34400.pth
2023-03-17 03:07:40,656	44k	INFO	====> Epoch: 79, cost 473.28 s
2023-03-17 03:08:32,302	44k	INFO	Train Epoch: 80 [10%]
2023-03-17 03:08:32,303	44k	INFO	Losses: [2.4296324253082275, 2.181828260421753, 8.199735641479492, 18.141691207885742, 1.3645236492156982], step: 38600, lr: 9.896779928676716e-05
2023-03-17 03:11:31,949	44k	INFO	Train Epoch: 80 [51%]
2023-03-17 03:11:31,950	44k	INFO	Losses: [2.565019369125366, 1.947805404663086, 6.14719295501709, 16.742931365966797, 1.2787712812423706], step: 38800, lr: 9.896779928676716e-05
2023-03-17 03:14:31,501	44k	INFO	Train Epoch: 80 [92%]
2023-03-17 03:14:31,503	44k	INFO	Losses: [2.384526014328003, 2.2261240482330322, 8.069917678833008, 15.260270118713379, 1.087229609489441], step: 39000, lr: 9.896779928676716e-05
2023-03-17 03:15:08,731	44k	INFO	====> Epoch: 80, cost 448.08 s
2023-03-17 03:17:41,466	44k	INFO	Train Epoch: 81 [33%]
2023-03-17 03:17:41,468	44k	INFO	Losses: [2.5365254878997803, 2.2828545570373535, 9.738179206848145, 17.017852783203125, 1.1615246534347534], step: 39200, lr: 9.895542831185631e-05
2023-03-17 03:17:54,292	44k	INFO	Saving model and optimizer state at iteration 81 to ./logs/44k/G_39200.pth
2023-03-17 03:17:57,602	44k	INFO	Saving model and optimizer state at iteration 81 to ./logs/44k/D_39200.pth
2023-03-17 03:17:59,923	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_35200.pth
2023-03-17 03:17:59,928	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_35200.pth
2023-03-17 03:21:03,852	44k	INFO	Train Epoch: 81 [74%]
2023-03-17 03:21:03,854	44k	INFO	Losses: [2.3370437622070312, 2.6323676109313965, 7.631609916687012, 19.311100006103516, 1.4604064226150513], step: 39400, lr: 9.895542831185631e-05
2023-03-17 03:22:58,064	44k	INFO	====> Epoch: 81, cost 469.33 s
2023-03-17 03:24:13,041	44k	INFO	Train Epoch: 82 [15%]
2023-03-17 03:24:13,043	44k	INFO	Losses: [2.4250082969665527, 2.5629730224609375, 10.725067138671875, 19.095808029174805, 1.2458372116088867], step: 39600, lr: 9.894305888331732e-05
2023-03-17 03:27:11,113	44k	INFO	Train Epoch: 82 [56%]
2023-03-17 03:27:11,115	44k	INFO	Losses: [2.3638675212860107, 2.3367221355438232, 9.018434524536133, 16.980154037475586, 0.9602565765380859], step: 39800, lr: 9.894305888331732e-05
2023-03-17 03:30:10,749	44k	INFO	Train Epoch: 82 [97%]
2023-03-17 03:30:10,750	44k	INFO	Losses: [2.2778704166412354, 2.4481430053710938, 10.221363067626953, 18.69451141357422, 1.3225191831588745], step: 40000, lr: 9.894305888331732e-05
2023-03-17 03:30:26,681	44k	INFO	Saving model and optimizer state at iteration 82 to ./logs/44k/G_40000.pth
2023-03-17 03:30:30,695	44k	INFO	Saving model and optimizer state at iteration 82 to ./logs/44k/D_40000.pth
2023-03-17 03:30:33,421	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_36000.pth
2023-03-17 03:30:33,425	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_36000.pth
2023-03-17 03:30:51,191	44k	INFO	====> Epoch: 82, cost 473.13 s
2023-03-17 03:33:42,705	44k	INFO	Train Epoch: 83 [38%]
2023-03-17 03:33:42,707	44k	INFO	Losses: [2.3225724697113037, 2.6144087314605713, 9.680810928344727, 19.193286895751953, 1.3272085189819336], step: 40200, lr: 9.89306910009569e-05
2023-03-17 03:36:41,212	44k	INFO	Train Epoch: 83 [79%]
2023-03-17 03:36:41,214	44k	INFO	Losses: [2.8023276329040527, 1.7692387104034424, 3.868022918701172, 11.095769882202148, 1.1627871990203857], step: 40400, lr: 9.89306910009569e-05
2023-03-17 03:38:13,624	44k	INFO	====> Epoch: 83, cost 442.43 s
2023-03-17 03:39:48,827	44k	INFO	Train Epoch: 84 [20%]
2023-03-17 03:39:48,829	44k	INFO	Losses: [2.4232993125915527, 2.1706693172454834, 8.57836627960205, 16.38633155822754, 1.011132001876831], step: 40600, lr: 9.891832466458178e-05
2023-03-17 03:42:47,497	44k	INFO	Train Epoch: 84 [61%]
2023-03-17 03:42:47,499	44k	INFO	Losses: [2.437356472015381, 2.395631790161133, 6.806859970092773, 17.000635147094727, 1.0631414651870728], step: 40800, lr: 9.891832466458178e-05
2023-03-17 03:43:01,457	44k	INFO	Saving model and optimizer state at iteration 84 to ./logs/44k/G_40800.pth
2023-03-17 03:43:04,934	44k	INFO	Saving model and optimizer state at iteration 84 to ./logs/44k/D_40800.pth
2023-03-17 03:43:07,107	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_36800.pth
2023-03-17 03:43:07,141	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_36800.pth
2023-03-17 03:46:02,396	44k	INFO	====> Epoch: 84, cost 468.77 s
2023-03-17 03:46:18,559	44k	INFO	Train Epoch: 85 [2%]
2023-03-17 03:46:18,561	44k	INFO	Losses: [2.6078553199768066, 1.9820866584777832, 8.470038414001465, 18.487531661987305, 1.0303090810775757], step: 41000, lr: 9.89059598739987e-05
2023-03-17 03:49:18,271	44k	INFO	Train Epoch: 85 [43%]
2023-03-17 03:49:18,273	44k	INFO	Losses: [2.4907898902893066, 2.1003904342651367, 6.9233479499816895, 18.588647842407227, 1.3046303987503052], step: 41200, lr: 9.89059598739987e-05
2023-03-17 03:52:17,447	44k	INFO	Train Epoch: 85 [84%]
2023-03-17 03:52:17,449	44k	INFO	Losses: [2.356060743331909, 2.574362277984619, 8.9258394241333, 20.44322395324707, 1.1470999717712402], step: 41400, lr: 9.89059598739987e-05
2023-03-17 03:53:29,481	44k	INFO	====> Epoch: 85, cost 447.08 s
2023-03-17 03:55:26,290	44k	INFO	Train Epoch: 86 [25%]
2023-03-17 03:55:26,292	44k	INFO	Losses: [2.4835870265960693, 2.245039701461792, 9.411276817321777, 19.828161239624023, 1.3884118795394897], step: 41600, lr: 9.889359662901445e-05
2023-03-17 03:55:40,654	44k	INFO	Saving model and optimizer state at iteration 86 to ./logs/44k/G_41600.pth
2023-03-17 03:55:44,704	44k	INFO	Saving model and optimizer state at iteration 86 to ./logs/44k/D_41600.pth
2023-03-17 03:55:47,071	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_37600.pth
2023-03-17 03:55:47,076	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_37600.pth
2023-03-17 03:58:50,342	44k	INFO	Train Epoch: 86 [66%]
2023-03-17 03:58:50,344	44k	INFO	Losses: [2.6028146743774414, 2.200443744659424, 9.620811462402344, 18.883745193481445, 1.307152271270752], step: 41800, lr: 9.889359662901445e-05
2023-03-17 04:01:20,048	44k	INFO	====> Epoch: 86, cost 470.57 s
2023-03-17 04:01:57,992	44k	INFO	Train Epoch: 87 [7%]
2023-03-17 04:01:57,994	44k	INFO	Losses: [2.569676160812378, 1.9188189506530762, 6.053400993347168, 13.968046188354492, 0.8926028609275818], step: 42000, lr: 9.888123492943583e-05
2023-03-17 04:04:58,307	44k	INFO	Train Epoch: 87 [48%]
2023-03-17 04:04:58,308	44k	INFO	Losses: [2.347348213195801, 2.212087392807007, 9.778621673583984, 22.348703384399414, 1.5022640228271484], step: 42200, lr: 9.888123492943583e-05
2023-03-17 04:07:56,804	44k	INFO	Train Epoch: 87 [89%]
2023-03-17 04:07:56,805	44k	INFO	Losses: [2.340458869934082, 2.4751017093658447, 10.095475196838379, 18.85011100769043, 1.552014946937561], step: 42400, lr: 9.888123492943583e-05
2023-03-17 04:08:09,952	44k	INFO	Saving model and optimizer state at iteration 87 to ./logs/44k/G_42400.pth
2023-03-17 04:08:13,425	44k	INFO	Saving model and optimizer state at iteration 87 to ./logs/44k/D_42400.pth
2023-03-17 04:08:15,716	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_38400.pth
2023-03-17 04:08:15,975	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_38400.pth
2023-03-17 04:09:10,189	44k	INFO	====> Epoch: 87, cost 470.14 s
2023-03-17 04:11:28,030	44k	INFO	Train Epoch: 88 [30%]
2023-03-17 04:11:28,031	44k	INFO	Losses: [2.676636219024658, 1.9538204669952393, 6.597738742828369, 20.08915138244629, 1.1037224531173706], step: 42600, lr: 9.886887477506964e-05
2023-03-17 04:14:26,167	44k	INFO	Train Epoch: 88 [70%]
2023-03-17 04:14:26,169	44k	INFO	Losses: [2.546870231628418, 2.0122125148773193, 9.648585319519043, 19.564075469970703, 1.2506898641586304], step: 42800, lr: 9.886887477506964e-05
2023-03-17 04:16:36,631	44k	INFO	====> Epoch: 88, cost 446.44 s
2023-03-17 04:17:36,705	44k	INFO	Train Epoch: 89 [11%]
2023-03-17 04:17:36,707	44k	INFO	Losses: [2.4755544662475586, 2.139252185821533, 7.932869911193848, 14.89391803741455, 1.3280549049377441], step: 43000, lr: 9.885651616572276e-05
2023-03-17 04:20:36,515	44k	INFO	Train Epoch: 89 [52%]
2023-03-17 04:20:36,517	44k	INFO	Losses: [2.177128314971924, 2.8584585189819336, 9.482152938842773, 14.80997371673584, 1.2164100408554077], step: 43200, lr: 9.885651616572276e-05
2023-03-17 04:20:49,808	44k	INFO	Saving model and optimizer state at iteration 89 to ./logs/44k/G_43200.pth
2023-03-17 04:20:53,232	44k	INFO	Saving model and optimizer state at iteration 89 to ./logs/44k/D_43200.pth
2023-03-17 04:20:55,432	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_39200.pth
2023-03-17 04:20:55,438	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_39200.pth
2023-03-17 04:23:59,846	44k	INFO	Train Epoch: 89 [93%]
2023-03-17 04:23:59,848	44k	INFO	Losses: [2.444333553314209, 2.3706679344177246, 8.763633728027344, 21.718589782714844, 1.1112216711044312], step: 43400, lr: 9.885651616572276e-05
2023-03-17 04:24:28,612	44k	INFO	====> Epoch: 89, cost 471.98 s
2023-03-17 04:27:07,627	44k	INFO	Train Epoch: 90 [34%]
2023-03-17 04:27:07,630	44k	INFO	Losses: [2.5771193504333496, 2.3104891777038574, 8.878454208374023, 16.915977478027344, 1.4198206663131714], step: 43600, lr: 9.884415910120204e-05
2023-03-17 04:30:05,300	44k	INFO	Train Epoch: 90 [75%]
2023-03-17 04:30:05,302	44k	INFO	Losses: [2.5268924236297607, 1.997037410736084, 9.072538375854492, 23.166839599609375, 1.556585669517517], step: 43800, lr: 9.884415910120204e-05
2023-03-17 04:31:54,607	44k	INFO	====> Epoch: 90, cost 445.99 s
2023-03-17 04:33:16,725	44k	INFO	Train Epoch: 91 [16%]
2023-03-17 04:33:16,727	44k	INFO	Losses: [2.29752254486084, 2.5615763664245605, 8.96706485748291, 17.70204734802246, 0.9858293533325195], step: 44000, lr: 9.883180358131438e-05
2023-03-17 04:33:29,138	44k	INFO	Saving model and optimizer state at iteration 91 to ./logs/44k/G_44000.pth
2023-03-17 04:33:32,546	44k	INFO	Saving model and optimizer state at iteration 91 to ./logs/44k/D_44000.pth
2023-03-17 04:33:34,745	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_40000.pth
2023-03-17 04:33:34,751	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_40000.pth
2023-03-17 04:36:39,521	44k	INFO	Train Epoch: 91 [57%]
2023-03-17 04:36:39,523	44k	INFO	Losses: [2.4972803592681885, 2.4023308753967285, 9.37154483795166, 21.22870445251465, 1.2557520866394043], step: 44200, lr: 9.883180358131438e-05
2023-03-17 07:50:02,582	44k	INFO	{'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 31415926, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 6, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 10240, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 512, 'port': '8001', 'keep_ckpts': 5}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 44100, 'filter_length': 2048, 'hop_length': 512, 'win_length': 2048, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': 22050}, '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, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 200}, 'spk': {'爱梅斯': 0, '花凛': 1, '佩可莉姆': 2, '咲恋': 3, '凯露': 4, '可可萝': 5}, 'model_dir': './logs/44k'}
2023-03-17 07:50:03,181	44k	WARNING	git hash values are different. 55dd086f(saved) != d54bf592(current)
2023-03-17 07:50:21,064	44k	INFO	Loaded checkpoint './logs/44k/G_44000.pth' (iteration 91)
2023-03-17 07:50:26,445	44k	INFO	Loaded checkpoint './logs/44k/D_44000.pth' (iteration 91)
2023-03-17 07:52:03,109	44k	INFO	Train Epoch: 91 [16%]
2023-03-17 07:52:03,110	44k	INFO	Losses: [2.668210029602051, 1.92995023727417, 5.357793807983398, 15.178995132446289, 0.6955949068069458], step: 44000, lr: 9.881944960586671e-05
2023-03-17 07:52:20,139	44k	INFO	Saving model and optimizer state at iteration 91 to ./logs/44k/G_44000.pth
2023-03-17 07:52:24,729	44k	INFO	Saving model and optimizer state at iteration 91 to ./logs/44k/D_44000.pth
2023-03-17 07:55:48,253	44k	INFO	Train Epoch: 91 [57%]
2023-03-17 07:55:48,254	44k	INFO	Losses: [2.3036863803863525, 2.774142026901245, 8.110414505004883, 19.43911361694336, 1.1284072399139404], step: 44200, lr: 9.881944960586671e-05
2023-03-17 07:59:02,562	44k	INFO	Train Epoch: 91 [98%]
2023-03-17 07:59:02,563	44k	INFO	Losses: [2.331641912460327, 2.3361172676086426, 9.700390815734863, 20.05875587463379, 1.1746416091918945], step: 44400, lr: 9.881944960586671e-05
2023-03-17 07:59:13,049	44k	INFO	====> Epoch: 91, cost 550.47 s
2023-03-17 08:02:16,470	44k	INFO	Train Epoch: 92 [39%]
2023-03-17 08:02:16,472	44k	INFO	Losses: [2.5861916542053223, 2.151218891143799, 7.270633220672607, 17.958580017089844, 1.1644787788391113], step: 44600, lr: 9.880709717466598e-05
2023-03-17 08:05:19,316	44k	INFO	Train Epoch: 92 [80%]
2023-03-17 08:05:19,318	44k	INFO	Losses: [2.1906516551971436, 2.6002354621887207, 9.858673095703125, 18.635112762451172, 1.2691702842712402], step: 44800, lr: 9.880709717466598e-05
2023-03-17 08:05:35,343	44k	INFO	Saving model and optimizer state at iteration 92 to ./logs/44k/G_44800.pth
2023-03-17 08:05:38,982	44k	INFO	Saving model and optimizer state at iteration 92 to ./logs/44k/D_44800.pth
2023-03-17 08:05:41,301	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_40800.pth
2023-03-17 08:05:41,303	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_40800.pth
2023-03-17 08:07:12,325	44k	INFO	====> Epoch: 92, cost 479.28 s
2023-03-17 08:08:55,212	44k	INFO	Train Epoch: 93 [21%]
2023-03-17 08:08:55,213	44k	INFO	Losses: [2.3211071491241455, 2.2624714374542236, 10.817269325256348, 20.754608154296875, 1.2969350814819336], step: 45000, lr: 9.879474628751914e-05
2023-03-17 08:11:58,655	44k	INFO	Train Epoch: 93 [62%]
2023-03-17 08:11:58,656	44k	INFO	Losses: [2.5462288856506348, 2.5714659690856934, 8.31057071685791, 17.768707275390625, 1.3567047119140625], step: 45200, lr: 9.879474628751914e-05
2023-03-17 08:14:46,255	44k	INFO	====> Epoch: 93, cost 453.93 s
2023-03-17 08:15:11,822	44k	INFO	Train Epoch: 94 [3%]
2023-03-17 08:15:11,824	44k	INFO	Losses: [2.829561710357666, 2.2598392963409424, 7.7262773513793945, 19.109375, 1.2395902872085571], step: 45400, lr: 9.87823969442332e-05
2023-03-17 08:18:15,898	44k	INFO	Train Epoch: 94 [44%]
2023-03-17 08:18:15,900	44k	INFO	Losses: [2.2507426738739014, 2.435422897338867, 7.702707767486572, 16.130598068237305, 1.1940419673919678], step: 45600, lr: 9.87823969442332e-05
2023-03-17 08:18:29,775	44k	INFO	Saving model and optimizer state at iteration 94 to ./logs/44k/G_45600.pth
2023-03-17 08:18:33,481	44k	INFO	Saving model and optimizer state at iteration 94 to ./logs/44k/D_45600.pth
2023-03-17 08:18:35,791	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_41600.pth
2023-03-17 08:18:35,793	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_41600.pth
2023-03-17 08:21:42,923	44k	INFO	Train Epoch: 94 [85%]
2023-03-17 08:21:42,925	44k	INFO	Losses: [2.312337875366211, 2.2897658348083496, 10.366857528686523, 18.517322540283203, 1.291533350944519], step: 45800, lr: 9.87823969442332e-05
2023-03-17 08:22:48,841	44k	INFO	====> Epoch: 94, cost 482.59 s
2023-03-17 08:24:56,231	44k	INFO	Train Epoch: 95 [26%]
2023-03-17 08:24:56,233	44k	INFO	Losses: [2.267899513244629, 2.2353272438049316, 10.288509368896484, 22.099145889282227, 1.1590378284454346], step: 46000, lr: 9.877004914461517e-05
2023-03-17 08:27:58,436	44k	INFO	Train Epoch: 95 [67%]
2023-03-17 08:27:58,437	44k	INFO	Losses: [2.557178258895874, 2.3174993991851807, 11.835665702819824, 21.42255210876465, 1.1371198892593384], step: 46200, lr: 9.877004914461517e-05
2023-03-17 08:30:26,287	44k	INFO	====> Epoch: 95, cost 457.45 s
2023-03-17 08:31:12,110	44k	INFO	Train Epoch: 96 [8%]
2023-03-17 08:31:12,113	44k	INFO	Losses: [2.6272759437561035, 2.25323486328125, 8.6062593460083, 17.728918075561523, 1.0275278091430664], step: 46400, lr: 9.875770288847208e-05
2023-03-17 08:31:25,822	44k	INFO	Saving model and optimizer state at iteration 96 to ./logs/44k/G_46400.pth
2023-03-17 08:31:30,791	44k	INFO	Saving model and optimizer state at iteration 96 to ./logs/44k/D_46400.pth
2023-03-17 08:31:33,280	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_42400.pth
2023-03-17 08:31:33,282	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_42400.pth
2023-03-17 08:34:40,788	44k	INFO	Train Epoch: 96 [49%]
2023-03-17 08:34:40,790	44k	INFO	Losses: [2.6838648319244385, 2.2486367225646973, 7.324362277984619, 17.17033576965332, 1.053290605545044], step: 46600, lr: 9.875770288847208e-05
2023-03-17 08:37:45,331	44k	INFO	Train Epoch: 96 [90%]
2023-03-17 08:37:45,333	44k	INFO	Losses: [2.367755174636841, 2.3769948482513428, 10.315049171447754, 19.893564224243164, 1.3874090909957886], step: 46800, lr: 9.875770288847208e-05
2023-03-17 08:38:29,242	44k	INFO	====> Epoch: 96, cost 482.96 s
2023-03-17 08:40:57,751	44k	INFO	Train Epoch: 97 [31%]
2023-03-17 08:40:57,753	44k	INFO	Losses: [2.4361391067504883, 2.2059686183929443, 10.056574821472168, 21.73434066772461, 1.358241319656372], step: 47000, lr: 9.874535817561101e-05
2023-03-17 08:43:59,970	44k	INFO	Train Epoch: 97 [72%]
2023-03-17 08:43:59,972	44k	INFO	Losses: [2.5105888843536377, 2.2866930961608887, 8.014640808105469, 20.10850715637207, 1.1686780452728271], step: 47200, lr: 9.874535817561101e-05
2023-03-17 08:44:15,348	44k	INFO	Saving model and optimizer state at iteration 97 to ./logs/44k/G_47200.pth
2023-03-17 08:44:20,317	44k	INFO	Saving model and optimizer state at iteration 97 to ./logs/44k/D_47200.pth
2023-03-17 08:44:22,899	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_43200.pth
2023-03-17 08:44:22,903	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_43200.pth
2023-03-17 08:46:30,539	44k	INFO	====> Epoch: 97, cost 481.30 s
2023-03-17 08:47:38,289	44k	INFO	Train Epoch: 98 [13%]
2023-03-17 08:47:38,290	44k	INFO	Losses: [2.544938802719116, 2.0673418045043945, 8.76973819732666, 18.828649520874023, 1.1368085145950317], step: 47400, lr: 9.873301500583906e-05
2023-03-17 08:50:40,336	44k	INFO	Train Epoch: 98 [54%]
2023-03-17 08:50:40,338	44k	INFO	Losses: [2.452686309814453, 2.483546733856201, 9.027301788330078, 18.327295303344727, 1.3026354312896729], step: 47600, lr: 9.873301500583906e-05
2023-03-17 08:53:44,429	44k	INFO	Train Epoch: 98 [95%]
2023-03-17 08:53:44,431	44k	INFO	Losses: [2.4441497325897217, 2.1515862941741943, 11.609452247619629, 20.753938674926758, 1.2595906257629395], step: 47800, lr: 9.873301500583906e-05
2023-03-17 08:54:05,998	44k	INFO	====> Epoch: 98, cost 455.46 s
2023-03-17 08:56:58,630	44k	INFO	Train Epoch: 99 [36%]
2023-03-17 08:56:58,632	44k	INFO	Losses: [2.5482840538024902, 2.185764789581299, 6.734715938568115, 16.002769470214844, 0.9853835105895996], step: 48000, lr: 9.872067337896332e-05
2023-03-17 08:57:13,863	44k	INFO	Saving model and optimizer state at iteration 99 to ./logs/44k/G_48000.pth
2023-03-17 08:57:17,771	44k	INFO	Saving model and optimizer state at iteration 99 to ./logs/44k/D_48000.pth
2023-03-17 08:57:19,990	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_44000.pth
2023-03-17 08:57:20,052	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_44000.pth
2023-03-17 09:00:29,111	44k	INFO	Train Epoch: 99 [77%]
2023-03-17 09:00:29,113	44k	INFO	Losses: [2.4988951683044434, 2.22397780418396, 7.070035934448242, 18.890058517456055, 1.212518334388733], step: 48200, lr: 9.872067337896332e-05
2023-03-17 09:02:12,081	44k	INFO	====> Epoch: 99, cost 486.08 s
2023-03-17 09:03:41,565	44k	INFO	Train Epoch: 100 [18%]
2023-03-17 09:03:41,567	44k	INFO	Losses: [2.319136142730713, 2.3721981048583984, 7.680482864379883, 17.073713302612305, 1.0361475944519043], step: 48400, lr: 9.870833329479095e-05
2023-03-17 09:06:44,599	44k	INFO	Train Epoch: 100 [59%]
2023-03-17 09:06:44,601	44k	INFO	Losses: [2.6347293853759766, 2.3255438804626465, 7.423192501068115, 18.45656394958496, 1.353227972984314], step: 48600, lr: 9.870833329479095e-05
2023-03-17 09:09:47,604	44k	INFO	====> Epoch: 100, cost 455.52 s
2023-03-17 09:09:58,694	44k	INFO	Train Epoch: 101 [0%]
2023-03-17 09:09:58,696	44k	INFO	Losses: [2.217794179916382, 2.4163689613342285, 9.86723518371582, 17.803302764892578, 1.3338123559951782], step: 48800, lr: 9.86959947531291e-05
2023-03-17 09:10:12,580	44k	INFO	Saving model and optimizer state at iteration 101 to ./logs/44k/G_48800.pth
2023-03-17 09:10:16,815	44k	INFO	Saving model and optimizer state at iteration 101 to ./logs/44k/D_48800.pth
2023-03-17 09:10:19,010	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_44800.pth
2023-03-17 09:10:19,018	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_44800.pth
2023-03-17 09:13:25,683	44k	INFO	Train Epoch: 101 [41%]
2023-03-17 09:13:25,685	44k	INFO	Losses: [2.6170883178710938, 2.0905160903930664, 8.067964553833008, 20.103612899780273, 1.2798022031784058], step: 49000, lr: 9.86959947531291e-05
2023-03-17 09:16:29,109	44k	INFO	Train Epoch: 101 [82%]
2023-03-17 09:16:29,111	44k	INFO	Losses: [2.6155846118927, 2.0383036136627197, 9.363716125488281, 16.237890243530273, 1.026833176612854], step: 49200, lr: 9.86959947531291e-05
2023-03-17 09:17:49,121	44k	INFO	====> Epoch: 101, cost 481.52 s
2023-03-17 09:19:41,943	44k	INFO	Train Epoch: 102 [23%]
2023-03-17 09:19:41,946	44k	INFO	Losses: [2.4634878635406494, 2.214381694793701, 9.180997848510742, 19.21164321899414, 1.177732229232788], step: 49400, lr: 9.868365775378495e-05
2023-03-17 09:22:45,388	44k	INFO	Train Epoch: 102 [64%]
2023-03-17 09:22:45,390	44k	INFO	Losses: [2.6667304039001465, 2.1756675243377686, 9.323272705078125, 20.198108673095703, 1.140903353691101], step: 49600, lr: 9.868365775378495e-05
2023-03-17 09:23:01,274	44k	INFO	Saving model and optimizer state at iteration 102 to ./logs/44k/G_49600.pth
2023-03-17 09:23:06,051	44k	INFO	Saving model and optimizer state at iteration 102 to ./logs/44k/D_49600.pth
2023-03-17 09:23:08,269	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_45600.pth
2023-03-17 09:23:08,273	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_45600.pth
2023-03-17 09:25:53,214	44k	INFO	====> Epoch: 102, cost 484.09 s
2023-03-17 09:26:25,238	44k	INFO	Train Epoch: 103 [5%]
2023-03-17 09:26:25,241	44k	INFO	Losses: [2.367825984954834, 2.233006000518799, 9.9767427444458, 19.749467849731445, 1.0239226818084717], step: 49800, lr: 9.867132229656573e-05
2023-03-17 09:29:28,189	44k	INFO	Train Epoch: 103 [46%]
2023-03-17 09:29:28,190	44k	INFO	Losses: [2.686293601989746, 1.9158427715301514, 5.075340270996094, 14.639267921447754, 1.110611915588379], step: 50000, lr: 9.867132229656573e-05
2023-03-17 09:32:31,443	44k	INFO	Train Epoch: 103 [87%]
2023-03-17 09:32:31,445	44k	INFO	Losses: [2.400881767272949, 2.129938840866089, 10.987777709960938, 21.766904830932617, 1.4266135692596436], step: 50200, lr: 9.867132229656573e-05
2023-03-17 09:33:30,536	44k	INFO	====> Epoch: 103, cost 457.32 s
2023-03-17 09:35:42,821	44k	INFO	Train Epoch: 104 [28%]
2023-03-17 09:35:42,823	44k	INFO	Losses: [2.5903377532958984, 2.485609531402588, 9.927873611450195, 21.513835906982422, 1.0367764234542847], step: 50400, lr: 9.865898838127865e-05
2023-03-17 09:35:55,479	44k	INFO	Saving model and optimizer state at iteration 104 to ./logs/44k/G_50400.pth
2023-03-17 09:35:58,955	44k	INFO	Saving model and optimizer state at iteration 104 to ./logs/44k/D_50400.pth
2023-03-17 09:36:01,406	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_46400.pth
2023-03-17 09:36:01,412	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_46400.pth
2023-03-17 09:39:05,246	44k	INFO	Train Epoch: 104 [69%]
2023-03-17 09:39:05,248	44k	INFO	Losses: [2.6484134197235107, 2.0377111434936523, 8.031493186950684, 16.828983306884766, 1.4036097526550293], step: 50600, lr: 9.865898838127865e-05
2023-03-17 09:41:22,555	44k	INFO	====> Epoch: 104, cost 472.02 s
2023-03-17 09:42:16,156	44k	INFO	Train Epoch: 105 [10%]
2023-03-17 09:42:16,158	44k	INFO	Losses: [2.6690385341644287, 1.9996957778930664, 6.172468662261963, 14.816864967346191, 1.0503015518188477], step: 50800, lr: 9.864665600773098e-05
2023-03-17 09:45:16,324	44k	INFO	Train Epoch: 105 [51%]
2023-03-17 09:45:16,326	44k	INFO	Losses: [2.5709991455078125, 2.057671546936035, 6.696719646453857, 16.80034828186035, 1.3635740280151367], step: 51000, lr: 9.864665600773098e-05
2023-03-17 09:48:17,973	44k	INFO	Train Epoch: 105 [92%]
2023-03-17 09:48:17,976	44k	INFO	Losses: [2.5135085582733154, 2.184070110321045, 7.171174049377441, 17.870094299316406, 1.165198802947998], step: 51200, lr: 9.864665600773098e-05
2023-03-17 09:48:34,247	44k	INFO	Saving model and optimizer state at iteration 105 to ./logs/44k/G_51200.pth
2023-03-17 09:48:38,461	44k	INFO	Saving model and optimizer state at iteration 105 to ./logs/44k/D_51200.pth
2023-03-17 09:48:40,903	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_47200.pth
2023-03-17 09:48:40,906	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_47200.pth
2023-03-17 09:49:21,492	44k	INFO	====> Epoch: 105, cost 478.94 s
2023-03-17 09:51:54,070	44k	INFO	Train Epoch: 106 [33%]
2023-03-17 09:51:54,072	44k	INFO	Losses: [2.560924530029297, 2.3064897060394287, 6.469823360443115, 16.36894416809082, 1.4065260887145996], step: 51400, lr: 9.863432517573002e-05
2023-03-17 09:54:54,725	44k	INFO	Train Epoch: 106 [74%]
2023-03-17 09:54:54,727	44k	INFO	Losses: [2.396714687347412, 2.354140281677246, 11.342338562011719, 19.688703536987305, 1.2030150890350342], step: 51600, lr: 9.863432517573002e-05
2023-03-17 09:56:51,115	44k	INFO	====> Epoch: 106, cost 449.62 s
2023-03-17 09:58:06,391	44k	INFO	Train Epoch: 107 [15%]
2023-03-17 09:58:06,393	44k	INFO	Losses: [2.5922422409057617, 2.3076748847961426, 8.031786918640137, 18.143476486206055, 1.2532134056091309], step: 51800, lr: 9.862199588508305e-05
2023-03-17 10:01:08,318	44k	INFO	Train Epoch: 107 [56%]
2023-03-17 10:01:08,320	44k	INFO	Losses: [2.6791019439697266, 2.1522114276885986, 9.648640632629395, 20.026235580444336, 1.3821077346801758], step: 52000, lr: 9.862199588508305e-05
2023-03-17 10:01:22,650	44k	INFO	Saving model and optimizer state at iteration 107 to ./logs/44k/G_52000.pth
2023-03-17 10:01:26,344	44k	INFO	Saving model and optimizer state at iteration 107 to ./logs/44k/D_52000.pth
2023-03-17 10:01:28,482	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_48000.pth
2023-03-17 10:01:28,486	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_48000.pth
2023-03-17 10:04:33,626	44k	INFO	Train Epoch: 107 [97%]
2023-03-17 10:04:33,628	44k	INFO	Losses: [2.6326851844787598, 2.200147867202759, 9.564226150512695, 18.618101119995117, 1.151081919670105], step: 52200, lr: 9.862199588508305e-05
2023-03-17 10:04:49,148	44k	INFO	====> Epoch: 107, cost 478.03 s
2023-03-17 10:07:45,458	44k	INFO	Train Epoch: 108 [38%]
2023-03-17 10:07:45,460	44k	INFO	Losses: [2.451735734939575, 2.198728322982788, 12.083086967468262, 22.490345001220703, 1.44159734249115], step: 52400, lr: 9.86096681355974e-05
2023-03-17 10:10:47,965	44k	INFO	Train Epoch: 108 [79%]
2023-03-17 10:10:47,967	44k	INFO	Losses: [2.304168224334717, 2.5060200691223145, 11.587242126464844, 21.356895446777344, 1.1251931190490723], step: 52600, lr: 9.86096681355974e-05
2023-03-17 10:12:22,159	44k	INFO	====> Epoch: 108, cost 453.01 s
2023-03-17 10:13:59,628	44k	INFO	Train Epoch: 109 [20%]
2023-03-17 10:13:59,630	44k	INFO	Losses: [2.473924398422241, 2.248304605484009, 8.610283851623535, 17.419002532958984, 1.2463079690933228], step: 52800, lr: 9.859734192708044e-05
2023-03-17 10:14:13,778	44k	INFO	Saving model and optimizer state at iteration 109 to ./logs/44k/G_52800.pth
2023-03-17 10:14:17,775	44k	INFO	Saving model and optimizer state at iteration 109 to ./logs/44k/D_52800.pth
2023-03-17 10:14:20,424	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_48800.pth
2023-03-17 10:14:20,427	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_48800.pth
2023-03-17 10:17:25,906	44k	INFO	Train Epoch: 109 [61%]
2023-03-17 10:17:25,909	44k	INFO	Losses: [2.534329414367676, 1.9661431312561035, 9.9132661819458, 20.506990432739258, 1.1420259475708008], step: 53000, lr: 9.859734192708044e-05
2023-03-17 10:20:20,533	44k	INFO	====> Epoch: 109, cost 478.37 s
2023-03-17 10:20:37,465	44k	INFO	Train Epoch: 110 [2%]
2023-03-17 10:20:37,467	44k	INFO	Losses: [2.624727725982666, 1.959425926208496, 7.974331378936768, 15.811946868896484, 1.21015202999115], step: 53200, lr: 9.858501725933955e-05
2023-03-17 10:23:41,338	44k	INFO	Train Epoch: 110 [43%]
2023-03-17 10:23:41,340	44k	INFO	Losses: [2.393941879272461, 2.3581132888793945, 10.60067367553711, 20.834491729736328, 1.0546199083328247], step: 53400, lr: 9.858501725933955e-05
2023-03-17 10:26:44,466	44k	INFO	Train Epoch: 110 [84%]
2023-03-17 10:26:44,468	44k	INFO	Losses: [2.5766501426696777, 2.014758586883545, 6.656016826629639, 18.496519088745117, 1.2025514841079712], step: 53600, lr: 9.858501725933955e-05
2023-03-17 10:26:59,220	44k	INFO	Saving model and optimizer state at iteration 110 to ./logs/44k/G_53600.pth
2023-03-17 10:27:02,726	44k	INFO	Saving model and optimizer state at iteration 110 to ./logs/44k/D_53600.pth
2023-03-17 10:27:05,149	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_49600.pth
2023-03-17 10:27:05,157	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_49600.pth
2023-03-17 10:28:21,979	44k	INFO	====> Epoch: 110, cost 481.45 s
2023-03-17 10:30:22,895	44k	INFO	Train Epoch: 111 [25%]
2023-03-17 10:30:22,897	44k	INFO	Losses: [2.416818141937256, 2.4272170066833496, 9.014447212219238, 20.61700439453125, 1.18415367603302], step: 53800, lr: 9.857269413218213e-05
2023-03-17 10:33:26,685	44k	INFO	Train Epoch: 111 [66%]
2023-03-17 10:33:26,687	44k	INFO	Losses: [2.7063441276550293, 2.2111012935638428, 9.299739837646484, 20.346240997314453, 0.9914289116859436], step: 54000, lr: 9.857269413218213e-05
2023-03-17 10:36:01,370	44k	INFO	====> Epoch: 111, cost 459.39 s
2023-03-17 10:36:39,091	44k	INFO	Train Epoch: 112 [7%]
2023-03-17 10:36:39,094	44k	INFO	Losses: [2.728736400604248, 2.0638718605041504, 7.160993576049805, 13.844667434692383, 1.0313878059387207], step: 54200, lr: 9.85603725454156e-05
2023-03-17 10:39:43,047	44k	INFO	Train Epoch: 112 [48%]
2023-03-17 10:39:43,049	44k	INFO	Losses: [2.389542818069458, 2.3154985904693604, 10.85708999633789, 21.832353591918945, 1.4632632732391357], step: 54400, lr: 9.85603725454156e-05
2023-03-17 10:39:57,768	44k	INFO	Saving model and optimizer state at iteration 112 to ./logs/44k/G_54400.pth
2023-03-17 10:40:02,542	44k	INFO	Saving model and optimizer state at iteration 112 to ./logs/44k/D_54400.pth
2023-03-17 10:40:05,445	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_50400.pth
2023-03-17 10:40:05,450	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_50400.pth
2023-03-17 10:43:12,137	44k	INFO	Train Epoch: 112 [89%]
2023-03-17 10:43:12,139	44k	INFO	Losses: [2.2183568477630615, 2.409961223602295, 10.971826553344727, 19.66034507751465, 1.3942534923553467], step: 54600, lr: 9.85603725454156e-05
2023-03-17 10:44:02,918	44k	INFO	====> Epoch: 112, cost 481.55 s
2023-03-17 10:46:24,796	44k	INFO	Train Epoch: 113 [30%]
2023-03-17 10:46:24,798	44k	INFO	Losses: [2.4191715717315674, 2.3714749813079834, 10.134894371032715, 21.89127540588379, 1.0536304712295532], step: 54800, lr: 9.854805249884741e-05
2023-03-17 10:49:29,420	44k	INFO	Train Epoch: 113 [70%]
2023-03-17 10:49:29,422	44k	INFO	Losses: [2.461608648300171, 2.305603504180908, 12.661972045898438, 21.27015495300293, 1.138624668121338], step: 55000, lr: 9.854805249884741e-05
2023-03-17 10:51:41,881	44k	INFO	====> Epoch: 113, cost 458.96 s
2023-03-17 10:52:42,466	44k	INFO	Train Epoch: 114 [11%]
2023-03-17 10:52:42,468	44k	INFO	Losses: [2.429858922958374, 2.3441522121429443, 9.194158554077148, 17.314563751220703, 0.9205238819122314], step: 55200, lr: 9.853573399228505e-05
2023-03-17 10:52:56,441	44k	INFO	Saving model and optimizer state at iteration 114 to ./logs/44k/G_55200.pth
2023-03-17 10:53:00,033	44k	INFO	Saving model and optimizer state at iteration 114 to ./logs/44k/D_55200.pth
2023-03-17 10:53:02,412	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_51200.pth
2023-03-17 10:53:02,419	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_51200.pth
2023-03-17 10:56:10,211	44k	INFO	Train Epoch: 114 [52%]
2023-03-17 10:56:10,212	44k	INFO	Losses: [2.5370161533355713, 2.0080819129943848, 7.957099437713623, 15.610247611999512, 0.9361606240272522], step: 55400, lr: 9.853573399228505e-05
2023-03-17 10:59:12,801	44k	INFO	Train Epoch: 114 [93%]
2023-03-17 10:59:12,803	44k	INFO	Losses: [2.563983917236328, 2.1723594665527344, 10.448431015014648, 20.848648071289062, 1.1929681301116943], step: 55600, lr: 9.853573399228505e-05
2023-03-17 10:59:43,264	44k	INFO	====> Epoch: 114, cost 481.38 s
2023-03-17 11:02:26,126	44k	INFO	Train Epoch: 115 [34%]
2023-03-17 11:02:26,128	44k	INFO	Losses: [2.5831854343414307, 2.2265872955322266, 9.641938209533691, 19.983287811279297, 0.9807518124580383], step: 55800, lr: 9.8523417025536e-05
2023-03-17 11:05:29,812	44k	INFO	Train Epoch: 115 [75%]
2023-03-17 11:05:29,815	44k	INFO	Losses: [2.563887596130371, 2.307697296142578, 9.734845161437988, 20.534194946289062, 1.1951038837432861], step: 56000, lr: 9.8523417025536e-05
2023-03-17 11:05:47,922	44k	INFO	Saving model and optimizer state at iteration 115 to ./logs/44k/G_56000.pth
2023-03-17 11:05:51,767	44k	INFO	Saving model and optimizer state at iteration 115 to ./logs/44k/D_56000.pth
2023-03-17 11:05:54,113	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_52000.pth
2023-03-17 11:05:54,118	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_52000.pth
2023-03-17 11:07:47,392	44k	INFO	====> Epoch: 115, cost 484.13 s
2023-03-17 11:09:10,836	44k	INFO	Train Epoch: 116 [16%]
2023-03-17 11:09:10,838	44k	INFO	Losses: [2.477738618850708, 2.160352945327759, 7.024170875549316, 16.734811782836914, 0.9827545285224915], step: 56200, lr: 9.851110159840781e-05
2023-03-17 11:12:13,509	44k	INFO	Train Epoch: 116 [57%]
2023-03-17 11:12:13,512	44k	INFO	Losses: [2.4602110385894775, 2.128208875656128, 9.715372085571289, 18.516027450561523, 1.2244703769683838], step: 56400, lr: 9.851110159840781e-05
2023-03-17 11:15:16,730	44k	INFO	Train Epoch: 116 [98%]
2023-03-17 11:15:16,733	44k	INFO	Losses: [2.474620819091797, 1.964585781097412, 7.929133415222168, 17.412694931030273, 1.4728379249572754], step: 56600, lr: 9.851110159840781e-05
2023-03-17 11:15:23,588	44k	INFO	====> Epoch: 116, cost 456.20 s
2023-03-17 11:18:27,175	44k	INFO	Train Epoch: 117 [39%]
2023-03-17 11:18:27,177	44k	INFO	Losses: [2.420013189315796, 2.18603253364563, 9.591678619384766, 14.596207618713379, 0.8012672662734985], step: 56800, lr: 9.8498787710708e-05
2023-03-17 11:18:40,572	44k	INFO	Saving model and optimizer state at iteration 117 to ./logs/44k/G_56800.pth
2023-03-17 11:18:44,162	44k	INFO	Saving model and optimizer state at iteration 117 to ./logs/44k/D_56800.pth
2023-03-17 11:18:46,833	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_52800.pth
2023-03-17 11:18:46,838	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_52800.pth
2023-03-17 11:21:54,521	44k	INFO	Train Epoch: 117 [80%]
2023-03-17 11:21:54,523	44k	INFO	Losses: [2.651813268661499, 2.256319522857666, 6.6362433433532715, 15.512826919555664, 1.0284459590911865], step: 57000, lr: 9.8498787710708e-05
2023-03-17 11:23:23,222	44k	INFO	====> Epoch: 117, cost 479.63 s
2023-03-17 11:25:07,785	44k	INFO	Train Epoch: 118 [21%]
2023-03-17 11:25:07,787	44k	INFO	Losses: [2.271695137023926, 2.2755846977233887, 12.089309692382812, 18.84491729736328, 1.480966329574585], step: 57200, lr: 9.848647536224416e-05
2023-03-17 11:28:10,010	44k	INFO	Train Epoch: 118 [62%]
2023-03-17 11:28:10,011	44k	INFO	Losses: [2.5381710529327393, 2.075659990310669, 9.390398979187012, 19.075077056884766, 1.192421317100525], step: 57400, lr: 9.848647536224416e-05
2023-03-17 11:30:57,546	44k	INFO	====> Epoch: 118, cost 454.32 s
2023-03-17 11:31:23,244	44k	INFO	Train Epoch: 119 [3%]
2023-03-17 11:31:23,246	44k	INFO	Losses: [2.3417224884033203, 2.3969225883483887, 11.169589042663574, 17.177366256713867, 1.2214947938919067], step: 57600, lr: 9.847416455282387e-05
2023-03-17 11:31:37,206	44k	INFO	Saving model and optimizer state at iteration 119 to ./logs/44k/G_57600.pth
2023-03-17 11:31:41,131	44k	INFO	Saving model and optimizer state at iteration 119 to ./logs/44k/D_57600.pth
2023-03-17 11:31:43,726	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_53600.pth
2023-03-17 11:31:43,732	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_53600.pth
2023-03-17 11:34:50,363	44k	INFO	Train Epoch: 119 [44%]
2023-03-17 11:34:50,365	44k	INFO	Losses: [2.639533281326294, 2.552556037902832, 7.157193660736084, 16.7408447265625, 1.1907761096954346], step: 57800, lr: 9.847416455282387e-05
2023-03-17 12:37:53,741	44k	INFO	{'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 3.1415926, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 6, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 10240, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 512, 'port': '8001', 'keep_ckpts': 5}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 44100, 'filter_length': 2048, 'hop_length': 512, 'win_length': 2048, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': 22050}, '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, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 200}, 'spk': {'爱梅斯': 0, '花凛': 1, '佩可莉姆': 2, '咲恋': 3, '凯露': 4, '可可萝': 5}, 'model_dir': './logs/44k'}
2023-03-17 12:37:54,854	44k	WARNING	git hash values are different. 55dd086f(saved) != d54bf592(current)
2023-03-17 12:38:09,422	44k	INFO	Loaded checkpoint './logs/44k/G_57600.pth' (iteration 119)
2023-03-17 12:38:21,317	44k	INFO	Loaded checkpoint './logs/44k/D_57600.pth' (iteration 119)
2023-03-17 12:38:58,005	44k	INFO	Train Epoch: 119 [3%]
2023-03-17 12:38:58,006	44k	INFO	Losses: [2.6381843090057373, 2.3323657512664795, 7.3547258377075195, 16.336719512939453, 1.127211093902588], step: 57600, lr: 9.846185528225477e-05
2023-03-17 12:39:12,343	44k	INFO	Saving model and optimizer state at iteration 119 to ./logs/44k/G_57600.pth
2023-03-17 12:39:15,842	44k	INFO	Saving model and optimizer state at iteration 119 to ./logs/44k/D_57600.pth
2023-03-19 03:48:11,610	44k	INFO	{'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 3.14159, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 12, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 10240, 'init_lr_ratio': 1, 'warmup_epochs': 1, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 512, 'port': '8001', 'keep_ckpts': 10}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 44100, 'filter_length': 2048, 'hop_length': 512, 'win_length': 2048, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': 22050}, '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, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 200}, 'spk': {'咲恋': 0, '爱梅斯': 1, '佩可莉姆': 2, '花凛': 3, '凯露': 4, '可可萝': 5}, 'model_dir': './logs/44k'}
2023-03-19 03:48:12,247	44k	WARNING	git hash values are different. 55dd086f(saved) != 447d95bc(current)
2023-03-19 03:48:35,794	44k	INFO	Loaded checkpoint './logs/44k/G_57600.pth' (iteration 119)
2023-03-19 03:48:43,786	44k	INFO	Loaded checkpoint './logs/44k/D_57600.pth' (iteration 119)
2023-03-19 03:49:20,849	44k	INFO	Train Epoch: 119 [3%]
2023-03-19 03:49:20,850	44k	INFO	Losses: [2.6117446422576904, 2.5298197269439697, 8.718894958496094, 18.367584228515625, 1.648695468902588], step: 28800, lr: 9.84495475503445e-05
2023-03-19 03:49:39,430	44k	INFO	Saving model and optimizer state at iteration 119 to ./logs/44k/G_28800.pth
2023-03-19 03:49:43,944	44k	INFO	Saving model and optimizer state at iteration 119 to ./logs/44k/D_28800.pth
2023-03-19 03:55:12,414	44k	INFO	Train Epoch: 119 [85%]
2023-03-19 03:55:12,417	44k	INFO	Losses: [2.5723941326141357, 2.1749308109283447, 9.912409782409668, 19.12677001953125, 1.1882245540618896], step: 29000, lr: 9.84495475503445e-05
2023-03-19 03:56:11,166	44k	INFO	====> Epoch: 119, cost 479.56 s
2023-03-19 04:00:10,317	44k	INFO	Train Epoch: 120 [67%]
2023-03-19 04:00:10,320	44k	INFO	Losses: [2.554133415222168, 2.170962333679199, 8.286349296569824, 16.83053207397461, 1.3115869760513306], step: 29200, lr: 9.84372413569007e-05
2023-03-19 04:02:00,325	44k	INFO	====> Epoch: 120, cost 349.16 s
2023-03-19 04:04:57,929	44k	INFO	Train Epoch: 121 [49%]
2023-03-19 04:04:57,931	44k	INFO	Losses: [2.5637712478637695, 2.2343292236328125, 7.5599799156188965, 16.201656341552734, 1.14766526222229], step: 29400, lr: 9.842493670173108e-05
2023-03-19 04:07:50,734	44k	INFO	====> Epoch: 121, cost 350.41 s
2023-03-19 04:09:47,121	44k	INFO	Train Epoch: 122 [31%]
2023-03-19 04:09:47,123	44k	INFO	Losses: [2.1760997772216797, 2.577721357345581, 7.668175220489502, 16.05946159362793, 1.0146536827087402], step: 29600, lr: 9.841263358464336e-05
2023-03-19 04:10:01,741	44k	INFO	Saving model and optimizer state at iteration 122 to ./logs/44k/G_29600.pth
2023-03-19 04:10:05,829	44k	INFO	Saving model and optimizer state at iteration 122 to ./logs/44k/D_29600.pth
2023-03-19 04:14:02,373	44k	INFO	====> Epoch: 122, cost 371.64 s
2023-03-19 04:14:59,679	44k	INFO	Train Epoch: 123 [13%]
2023-03-19 04:14:59,681	44k	INFO	Losses: [2.5114970207214355, 2.3344173431396484, 9.933822631835938, 18.707149505615234, 1.2205214500427246], step: 29800, lr: 9.840033200544528e-05
2023-03-19 04:19:36,970	44k	INFO	Train Epoch: 123 [95%]
2023-03-19 04:19:36,971	44k	INFO	Losses: [2.362931489944458, 2.4701714515686035, 9.389654159545898, 17.956693649291992, 1.0756415128707886], step: 30000, lr: 9.840033200544528e-05
2023-03-19 04:19:52,500	44k	INFO	====> Epoch: 123, cost 350.13 s
2023-03-19 04:24:24,887	44k	INFO	Train Epoch: 124 [77%]
2023-03-19 04:24:24,895	44k	INFO	Losses: [2.3956665992736816, 2.2771549224853516, 8.791420936584473, 16.911115646362305, 1.1890572309494019], step: 30200, lr: 9.838803196394459e-05
2023-03-19 04:25:41,996	44k	INFO	====> Epoch: 124, cost 349.50 s
2023-03-19 04:29:11,409	44k	INFO	Train Epoch: 125 [59%]
2023-03-19 04:29:11,411	44k	INFO	Losses: [2.354029655456543, 2.630589246749878, 9.738694190979004, 19.589468002319336, 1.2809773683547974], step: 30400, lr: 9.837573345994909e-05
2023-03-19 04:29:26,152	44k	INFO	Saving model and optimizer state at iteration 125 to ./logs/44k/G_30400.pth
2023-03-19 04:29:30,209	44k	INFO	Saving model and optimizer state at iteration 125 to ./logs/44k/D_30400.pth
2023-03-19 04:31:53,084	44k	INFO	====> Epoch: 125, cost 371.09 s
2023-03-19 04:34:21,919	44k	INFO	Train Epoch: 126 [41%]
2023-03-19 04:34:21,921	44k	INFO	Losses: [2.3473196029663086, 2.3910813331604004, 9.856499671936035, 18.58342742919922, 1.0948435068130493], step: 30600, lr: 9.836343649326659e-05
2023-03-19 04:37:41,259	44k	INFO	====> Epoch: 126, cost 348.18 s
2023-03-19 04:39:10,481	44k	INFO	Train Epoch: 127 [23%]
2023-03-19 04:39:10,482	44k	INFO	Losses: [2.4615707397460938, 2.06150221824646, 9.964756965637207, 17.74311637878418, 1.1590461730957031], step: 30800, lr: 9.835114106370493e-05
2023-03-19 04:43:30,687	44k	INFO	====> Epoch: 127, cost 349.43 s
2023-03-19 04:43:58,709	44k	INFO	Train Epoch: 128 [5%]
2023-03-19 04:43:58,710	44k	INFO	Losses: [2.5154454708099365, 2.0758163928985596, 9.66000747680664, 20.303064346313477, 1.333095908164978], step: 31000, lr: 9.833884717107196e-05
2023-03-19 04:48:36,520	44k	INFO	Train Epoch: 128 [87%]
2023-03-19 04:48:36,523	44k	INFO	Losses: [2.5564117431640625, 1.8802831172943115, 5.399607181549072, 13.982666969299316, 1.1477104425430298], step: 31200, lr: 9.833884717107196e-05
2023-03-19 04:48:51,681	44k	INFO	Saving model and optimizer state at iteration 128 to ./logs/44k/G_31200.pth
2023-03-19 04:48:56,149	44k	INFO	Saving model and optimizer state at iteration 128 to ./logs/44k/D_31200.pth
2023-03-19 04:49:45,408	44k	INFO	====> Epoch: 128, cost 374.72 s
2023-03-19 04:53:48,928	44k	INFO	Train Epoch: 129 [69%]
2023-03-19 04:53:48,930	44k	INFO	Losses: [2.376661777496338, 2.3400487899780273, 10.183448791503906, 18.81839370727539, 1.2373069524765015], step: 31400, lr: 9.832655481517557e-05
2023-03-19 04:55:33,509	44k	INFO	====> Epoch: 129, cost 348.10 s
2023-03-19 04:58:35,106	44k	INFO	Train Epoch: 130 [51%]
2023-03-19 04:58:35,108	44k	INFO	Losses: [2.453214645385742, 2.255253553390503, 9.941259384155273, 20.30086898803711, 1.1844775676727295], step: 31600, lr: 9.831426399582366e-05
2023-03-19 05:01:19,697	44k	INFO	====> Epoch: 130, cost 346.19 s
2023-03-19 05:03:20,099	44k	INFO	Train Epoch: 131 [33%]
2023-03-19 05:03:20,101	44k	INFO	Losses: [2.545170783996582, 2.3894519805908203, 9.066315650939941, 19.431034088134766, 1.296032428741455], step: 31800, lr: 9.830197471282419e-05
2023-03-19 05:07:05,261	44k	INFO	====> Epoch: 131, cost 345.56 s
2023-03-19 05:08:06,628	44k	INFO	Train Epoch: 132 [15%]
2023-03-19 05:08:06,630	44k	INFO	Losses: [2.572995901107788, 2.0897107124328613, 8.455870628356934, 19.27798080444336, 1.2310394048690796], step: 32000, lr: 9.828968696598508e-05
2023-03-19 05:08:21,705	44k	INFO	Saving model and optimizer state at iteration 132 to ./logs/44k/G_32000.pth
2023-03-19 05:08:25,529	44k	INFO	Saving model and optimizer state at iteration 132 to ./logs/44k/D_32000.pth
2023-03-19 05:13:07,691	44k	INFO	Train Epoch: 132 [97%]
2023-03-19 05:13:07,693	44k	INFO	Losses: [2.5495755672454834, 2.272268772125244, 8.980924606323242, 20.105144500732422, 1.1467938423156738], step: 32200, lr: 9.828968696598508e-05
2023-03-19 05:13:20,631	44k	INFO	====> Epoch: 132, cost 375.37 s
2023-03-19 05:17:57,925	44k	INFO	Train Epoch: 133 [79%]
2023-03-19 05:17:57,927	44k	INFO	Losses: [2.6762030124664307, 2.3116543292999268, 9.210368156433105, 20.27691650390625, 1.0518969297409058], step: 32400, lr: 9.827740075511432e-05
2023-03-19 05:19:10,204	44k	INFO	====> Epoch: 133, cost 349.57 s
2023-03-19 05:22:47,686	44k	INFO	Train Epoch: 134 [61%]
2023-03-19 05:22:47,688	44k	INFO	Losses: [2.6595070362091064, 2.001474142074585, 8.9099760055542, 15.667600631713867, 1.376304268836975], step: 32600, lr: 9.826511608001993e-05
2023-03-19 05:25:00,871	44k	INFO	====> Epoch: 134, cost 350.67 s
2023-03-19 05:27:37,183	44k	INFO	Train Epoch: 135 [43%]
2023-03-19 05:27:37,185	44k	INFO	Losses: [2.2516837120056152, 2.621290683746338, 9.578805923461914, 20.273048400878906, 1.2863372564315796], step: 32800, lr: 9.825283294050992e-05
2023-03-19 05:27:53,133	44k	INFO	Saving model and optimizer state at iteration 135 to ./logs/44k/G_32800.pth
2023-03-19 05:27:57,523	44k	INFO	Saving model and optimizer state at iteration 135 to ./logs/44k/D_32800.pth
2023-03-19 05:27:59,715	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_54400.pth
2023-03-19 05:27:59,717	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_54400.pth
2023-03-19 05:31:16,891	44k	INFO	====> Epoch: 135, cost 376.02 s
2023-03-19 05:32:51,591	44k	INFO	Train Epoch: 136 [25%]
2023-03-19 05:32:51,593	44k	INFO	Losses: [2.550990581512451, 2.299443244934082, 8.599310874938965, 17.00333023071289, 1.1935644149780273], step: 33000, lr: 9.824055133639235e-05
2023-03-19 05:37:06,857	44k	INFO	====> Epoch: 136, cost 349.97 s
2023-03-19 05:37:40,480	44k	INFO	Train Epoch: 137 [7%]
2023-03-19 05:37:40,482	44k	INFO	Losses: [2.5285518169403076, 2.2456958293914795, 8.032464027404785, 16.138957977294922, 1.1882539987564087], step: 33200, lr: 9.822827126747529e-05
2023-03-19 05:42:18,313	44k	INFO	Train Epoch: 137 [89%]
2023-03-19 05:42:18,314	44k	INFO	Losses: [2.38613224029541, 2.4379029273986816, 9.768050193786621, 19.363834381103516, 1.0418587923049927], step: 33400, lr: 9.822827126747529e-05
2023-03-19 05:42:56,549	44k	INFO	====> Epoch: 137, cost 349.69 s
2023-03-19 05:47:05,937	44k	INFO	Train Epoch: 138 [70%]
2023-03-19 05:47:05,940	44k	INFO	Losses: [2.4908342361450195, 2.3220832347869873, 10.196332931518555, 18.554168701171875, 1.287099838256836], step: 33600, lr: 9.821599273356685e-05
2023-03-19 05:47:21,887	44k	INFO	Saving model and optimizer state at iteration 138 to ./logs/44k/G_33600.pth
2023-03-19 05:47:26,443	44k	INFO	Saving model and optimizer state at iteration 138 to ./logs/44k/D_33600.pth
2023-03-19 05:47:28,722	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_55200.pth
2023-03-19 05:47:28,724	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/D_55200.pth
2023-03-19 05:49:11,821	44k	INFO	====> Epoch: 138, cost 375.27 s
2023-03-19 05:52:21,326	44k	INFO	Train Epoch: 139 [52%]
2023-03-19 05:52:21,328	44k	INFO	Losses: [2.678709030151367, 2.0283408164978027, 9.1529541015625, 20.652057647705078, 0.9994276165962219], step: 33800, lr: 9.820371573447515e-05
2023-03-19 05:55:00,674	44k	INFO	====> Epoch: 139, cost 348.85 s
2023-03-19 06:00:14,148	44k	INFO	{'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 3.14159, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 12, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 10240, 'init_lr_ratio': 1, 'warmup_epochs': 1, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 512, 'port': '8001', 'keep_ckpts': 10}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 44100, 'filter_length': 2048, 'hop_length': 512, 'win_length': 2048, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': 22050}, '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, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 200}, 'spk': {'咲恋': 0, '爱梅斯': 1, '佩可莉姆': 2, '花凛': 3, '凯露': 4, '可可萝': 5}, 'model_dir': './logs/44k'}
2023-03-19 06:00:14,660	44k	WARNING	git hash values are different. 55dd086f(saved) != 447d95bc(current)
2023-03-19 06:00:34,044	44k	INFO	Loaded checkpoint './logs/44k/G_57600.pth' (iteration 119)
2023-03-19 06:00:44,042	44k	INFO	Loaded checkpoint './logs/44k/D_57600.pth' (iteration 119)
2023-03-19 06:01:19,446	44k	INFO	Train Epoch: 119 [3%]
2023-03-19 06:01:19,446	44k	INFO	Losses: [2.611046314239502, 2.5111546516418457, 8.693563461303711, 18.36782455444336, 1.648695468902588], step: 28800, lr: 9.84495475503445e-05
2023-03-19 06:01:34,850	44k	INFO	Saving model and optimizer state at iteration 119 to ./logs/44k/G_28800.pth
2023-03-19 06:01:44,948	44k	INFO	Saving model and optimizer state at iteration 119 to ./logs/44k/D_28800.pth
2023-03-19 06:10:25,755	44k	INFO	{'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 3.14159, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 12, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 10240, 'init_lr_ratio': 1, 'warmup_epochs': 1, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 512, 'port': '8001', 'keep_ckpts': 10}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 44100, 'filter_length': 2048, 'hop_length': 512, 'win_length': 2048, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': 22050}, '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, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 200}, 'spk': {'咲恋': 0, '爱梅斯': 1, '佩可莉姆': 2, '花凛': 3, '凯露': 4, '可可萝': 5}, 'model_dir': './logs/44k'}
2023-03-19 06:10:26,335	44k	WARNING	git hash values are different. 55dd086f(saved) != 447d95bc(current)
2023-03-19 06:10:42,963	44k	INFO	Loaded checkpoint './logs/44k/G_57600.pth' (iteration 119)
2023-03-19 06:10:47,976	44k	INFO	Loaded checkpoint './logs/44k/D_57600.pth' (iteration 119)
2023-03-19 06:11:23,144	44k	INFO	Train Epoch: 119 [3%]
2023-03-19 06:11:23,151	44k	INFO	Losses: [2.6149513721466064, 2.5370380878448486, 8.72342300415039, 18.367277145385742, 1.6487497091293335], step: 28800, lr: 9.84495475503445e-05
2023-03-19 06:11:40,378	44k	INFO	Saving model and optimizer state at iteration 119 to ./logs/44k/G_28800.pth
2023-03-19 06:11:58,100	44k	INFO	Saving model and optimizer state at iteration 119 to ./logs/44k/D_28800.pth
2023-03-19 06:17:22,170	44k	INFO	Train Epoch: 119 [85%]
2023-03-19 06:17:22,173	44k	INFO	Losses: [2.478893995285034, 2.4014482498168945, 10.103824615478516, 19.06524658203125, 1.186173677444458], step: 29000, lr: 9.84495475503445e-05
2023-03-19 06:18:17,650	44k	INFO	====> Epoch: 119, cost 471.90 s
2023-03-19 06:22:12,876	44k	INFO	Train Epoch: 120 [67%]
2023-03-19 06:22:12,878	44k	INFO	Losses: [2.5584959983825684, 2.252742290496826, 8.289676666259766, 16.782520294189453, 1.2712703943252563], step: 29200, lr: 9.84372413569007e-05
2023-03-19 06:24:01,604	44k	INFO	====> Epoch: 120, cost 343.95 s
2023-03-19 06:26:55,905	44k	INFO	Train Epoch: 121 [49%]
2023-03-19 06:26:55,906	44k	INFO	Losses: [2.544400691986084, 2.2445619106292725, 7.344658851623535, 15.869691848754883, 1.1362035274505615], step: 29400, lr: 9.842493670173108e-05
2023-03-19 06:29:44,689	44k	INFO	====> Epoch: 121, cost 343.09 s
2023-03-19 06:31:39,448	44k	INFO	Train Epoch: 122 [31%]
2023-03-19 06:31:39,451	44k	INFO	Losses: [2.5556859970092773, 2.1673104763031006, 6.94382381439209, 15.537896156311035, 1.0236930847167969], step: 29600, lr: 9.841263358464336e-05
2023-03-19 06:31:55,237	44k	INFO	Saving model and optimizer state at iteration 122 to ./logs/44k/G_29600.pth
2023-03-19 06:32:07,926	44k	INFO	Saving model and optimizer state at iteration 122 to ./logs/44k/D_29600.pth
2023-03-19 06:36:17,183	44k	INFO	====> Epoch: 122, cost 392.49 s
2023-03-19 06:37:13,670	44k	INFO	Train Epoch: 123 [13%]
2023-03-19 06:37:13,679	44k	INFO	Losses: [2.62937593460083, 2.07771635055542, 9.523256301879883, 18.81388282775879, 1.2406041622161865], step: 29800, lr: 9.840033200544528e-05
2023-03-19 06:41:45,034	44k	INFO	Train Epoch: 123 [95%]
2023-03-19 06:41:45,035	44k	INFO	Losses: [2.4676156044006348, 2.252629041671753, 9.206219673156738, 17.628591537475586, 1.0935561656951904], step: 30000, lr: 9.840033200544528e-05
2023-03-19 06:42:01,026	44k	INFO	====> Epoch: 123, cost 343.84 s
2023-03-19 06:46:26,779	44k	INFO	Train Epoch: 124 [77%]
2023-03-19 06:46:26,781	44k	INFO	Losses: [2.3520586490631104, 2.2396674156188965, 9.005539894104004, 16.792951583862305, 1.176187515258789], step: 30200, lr: 9.838803196394459e-05
2023-03-19 06:47:42,660	44k	INFO	====> Epoch: 124, cost 341.63 s
2023-03-19 06:51:08,578	44k	INFO	Train Epoch: 125 [59%]
2023-03-19 06:51:08,580	44k	INFO	Losses: [2.4618020057678223, 2.4736528396606445, 9.541234970092773, 19.455158233642578, 1.2822479009628296], step: 30400, lr: 9.837573345994909e-05
2023-03-19 06:51:22,918	44k	INFO	Saving model and optimizer state at iteration 125 to ./logs/44k/G_30400.pth
2023-03-19 06:51:36,813	44k	INFO	Saving model and optimizer state at iteration 125 to ./logs/44k/D_30400.pth
2023-03-19 06:54:09,241	44k	INFO	====> Epoch: 125, cost 386.58 s
2023-03-19 06:56:35,638	44k	INFO	Train Epoch: 126 [41%]
2023-03-19 06:56:35,640	44k	INFO	Losses: [2.406524181365967, 2.34045147895813, 9.467703819274902, 18.4973201751709, 1.071862816810608], step: 30600, lr: 9.836343649326659e-05
2023-03-19 06:59:50,610	44k	INFO	====> Epoch: 126, cost 341.37 s
2023-03-19 07:01:16,635	44k	INFO	Train Epoch: 127 [23%]
2023-03-19 07:01:16,637	44k	INFO	Losses: [2.160978317260742, 2.53950572013855, 10.809408187866211, 17.73338508605957, 1.1707638502120972], step: 30800, lr: 9.835114106370493e-05
2023-03-19 07:05:32,069	44k	INFO	====> Epoch: 127, cost 341.46 s
2023-03-19 07:05:58,271	44k	INFO	Train Epoch: 128 [5%]
2023-03-19 07:05:58,272	44k	INFO	Losses: [2.5683066844940186, 2.1148858070373535, 9.596181869506836, 20.255708694458008, 1.327038049697876], step: 31000, lr: 9.833884717107196e-05
2023-03-19 07:10:30,983	44k	INFO	Train Epoch: 128 [87%]
2023-03-19 07:10:30,985	44k	INFO	Losses: [2.526930332183838, 1.9264739751815796, 5.521120071411133, 14.04356861114502, 1.1642577648162842], step: 31200, lr: 9.833884717107196e-05
2023-03-19 07:10:44,902	44k	INFO	Saving model and optimizer state at iteration 128 to ./logs/44k/G_31200.pth
2023-03-19 07:10:55,553	44k	INFO	Saving model and optimizer state at iteration 128 to ./logs/44k/D_31200.pth
2023-03-19 07:11:56,393	44k	INFO	====> Epoch: 128, cost 384.32 s
2023-03-19 07:15:54,605	44k	INFO	Train Epoch: 129 [69%]
2023-03-19 07:15:54,607	44k	INFO	Losses: [2.5165069103240967, 2.326845407485962, 10.025596618652344, 19.09140396118164, 1.2301136255264282], step: 31400, lr: 9.832655481517557e-05
2023-03-19 07:17:37,547	44k	INFO	====> Epoch: 129, cost 341.15 s
2023-03-19 07:20:36,167	44k	INFO	Train Epoch: 130 [51%]
2023-03-19 07:20:36,169	44k	INFO	Losses: [2.3509130477905273, 2.2406866550445557, 10.232770919799805, 20.243438720703125, 1.1790398359298706], step: 31600, lr: 9.831426399582366e-05
2023-03-19 07:31:35,511	44k	INFO	{'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 3.14159, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 12, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 10240, 'init_lr_ratio': 1, 'warmup_epochs': 1, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 512, 'port': '8001', 'keep_ckpts': 10}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 44100, 'filter_length': 2048, 'hop_length': 512, 'win_length': 2048, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': 22050}, '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, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 200}, 'spk': {'咲恋': 0, '爱梅斯': 1, '佩可莉姆': 2, '花凛': 3, '凯露': 4, '可可萝': 5}, 'model_dir': './logs/44k'}
2023-03-19 07:31:35,570	44k	WARNING	git hash values are different. 55dd086f(saved) != 447d95bc(current)
2023-03-19 07:31:47,854	44k	INFO	Loaded checkpoint './logs/44k/G_57600.pth' (iteration 119)
2023-03-19 07:31:51,865	44k	INFO	Loaded checkpoint './logs/44k/D_57600.pth' (iteration 119)
2023-03-19 07:32:23,275	44k	INFO	Train Epoch: 119 [3%]
2023-03-19 07:32:23,276	44k	INFO	Losses: [2.6113407611846924, 2.5411152839660645, 8.731165885925293, 18.367197036743164, 1.6487497091293335], step: 28800, lr: 9.84495475503445e-05
2023-03-19 07:32:39,430	44k	INFO	Saving model and optimizer state at iteration 119 to ./logs/44k/G_28800.pth
2023-03-19 07:32:42,974	44k	INFO	Saving model and optimizer state at iteration 119 to ./logs/44k/D_28800.pth
2023-03-19 07:36:16,030	44k	INFO	{'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 3.14159, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 12, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 10240, 'init_lr_ratio': 1, 'warmup_epochs': 1, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 512, 'port': '8001', 'keep_ckpts': 10}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 44100, 'filter_length': 2048, 'hop_length': 512, 'win_length': 2048, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': 22050}, '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, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 200}, 'spk': {'咲恋': 0, '爱梅斯': 1, '佩可莉姆': 2, '花凛': 3, '凯露': 4, '可可萝': 5}, 'model_dir': './logs/44k'}
2023-03-19 07:36:16,089	44k	WARNING	git hash values are different. 55dd086f(saved) != 447d95bc(current)
2023-03-19 07:36:30,626	44k	INFO	Loaded checkpoint './logs/44k/G_31200.pth' (iteration 128)
2023-03-19 07:36:34,113	44k	INFO	Loaded checkpoint './logs/44k/D_57600.pth' (iteration 119)
2023-03-19 07:37:02,070	44k	INFO	Train Epoch: 119 [3%]
2023-03-19 07:37:02,070	44k	INFO	Losses: [2.8425185680389404, 2.165978193283081, 8.048396110534668, 17.02152442932129, 1.4814859628677368], step: 28800, lr: 9.832655481517557e-05
2023-03-19 07:38:08,125	44k	INFO	{'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 3.14159, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 12, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 10240, 'init_lr_ratio': 1, 'warmup_epochs': 1, 'c_mel': 45, 'c_kl': 1.0, 'use_sr': True, 'max_speclen': 512, 'port': '8001', 'keep_ckpts': 10}, 'data': {'training_files': 'filelists/train.txt', 'validation_files': 'filelists/val.txt', 'max_wav_value': 32768.0, 'sampling_rate': 44100, 'filter_length': 2048, 'hop_length': 512, 'win_length': 2048, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': 22050}, '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, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256, 'ssl_dim': 256, 'n_speakers': 200}, 'spk': {'咲恋': 0, '爱梅斯': 1, '佩可莉姆': 2, '花凛': 3, '凯露': 4, '可可萝': 5}, 'model_dir': './logs/44k'}
2023-03-19 07:38:08,174	44k	WARNING	git hash values are different. 55dd086f(saved) != 447d95bc(current)
2023-03-19 07:38:18,551	44k	INFO	Loaded checkpoint './logs/44k/G_31200.pth' (iteration 128)
2023-03-19 07:38:22,059	44k	INFO	Loaded checkpoint './logs/44k/D_31200.pth' (iteration 128)
2023-03-19 07:38:55,812	44k	INFO	Train Epoch: 128 [5%]
2023-03-19 07:38:55,814	44k	INFO	Losses: [2.495979070663452, 2.364474296569824, 11.206805229187012, 19.741397857666016, 1.3408305644989014], step: 31000, lr: 9.832655481517557e-05
2023-03-19 07:43:33,166	44k	INFO	Train Epoch: 128 [87%]
2023-03-19 07:43:33,166	44k	INFO	Losses: [2.4889912605285645, 2.110476016998291, 10.982046127319336, 17.08719825744629, 1.0594382286071777], step: 31200, lr: 9.832655481517557e-05
2023-03-19 07:43:51,106	44k	INFO	Saving model and optimizer state at iteration 128 to ./logs/44k/G_31200.pth
2023-03-19 07:43:54,937	44k	INFO	Saving model and optimizer state at iteration 128 to ./logs/44k/D_31200.pth
2023-03-19 07:44:46,215	44k	INFO	====> Epoch: 128, cost 398.09 s
2023-03-19 07:48:44,115	44k	INFO	Train Epoch: 129 [69%]
2023-03-19 07:48:44,117	44k	INFO	Losses: [2.493502378463745, 2.2225961685180664, 10.911959648132324, 19.7308292388916, 1.0857512950897217], step: 31400, lr: 9.831426399582366e-05
2023-03-19 07:50:26,501	44k	INFO	====> Epoch: 129, cost 340.29 s
2023-03-19 07:53:24,477	44k	INFO	Train Epoch: 130 [51%]
2023-03-19 07:53:24,485	44k	INFO	Losses: [2.4950523376464844, 2.307392120361328, 7.865989685058594, 19.17140769958496, 1.1914111375808716], step: 31600, lr: 9.830197471282419e-05
2023-03-19 07:56:05,781	44k	INFO	====> Epoch: 130, cost 339.28 s
2023-03-19 07:58:04,419	44k	INFO	Train Epoch: 131 [33%]
2023-03-19 07:58:04,421	44k	INFO	Losses: [2.6162869930267334, 2.106891393661499, 8.499510765075684, 16.93584442138672, 1.1345093250274658], step: 31800, lr: 9.828968696598508e-05
2023-03-19 08:01:43,853	44k	INFO	====> Epoch: 131, cost 338.07 s
2023-03-19 08:02:44,292	44k	INFO	Train Epoch: 132 [15%]
2023-03-19 08:02:44,294	44k	INFO	Losses: [2.81638765335083, 2.1512932777404785, 5.555813789367676, 14.49542236328125, 1.442597508430481], step: 32000, lr: 9.827740075511432e-05
2023-03-19 08:02:57,333	44k	INFO	Saving model and optimizer state at iteration 132 to ./logs/44k/G_32000.pth
2023-03-19 08:03:00,986	44k	INFO	Saving model and optimizer state at iteration 132 to ./logs/44k/D_32000.pth
2023-03-19 08:07:37,382	44k	INFO	Train Epoch: 132 [97%]
2023-03-19 08:07:37,383	44k	INFO	Losses: [2.492255449295044, 2.20237398147583, 9.363052368164062, 19.99129867553711, 1.3208929300308228], step: 32200, lr: 9.827740075511432e-05
2023-03-19 08:07:48,606	44k	INFO	====> Epoch: 132, cost 364.75 s
2023-03-19 08:12:18,060	44k	INFO	Train Epoch: 133 [79%]
2023-03-19 08:12:18,062	44k	INFO	Losses: [2.469524383544922, 2.232806444168091, 9.899406433105469, 18.757871627807617, 1.2723671197891235], step: 32400, lr: 9.826511608001993e-05
2023-03-19 08:13:27,999	44k	INFO	====> Epoch: 133, cost 339.39 s
2023-03-19 08:16:58,283	44k	INFO	Train Epoch: 134 [61%]
2023-03-19 08:16:58,285	44k	INFO	Losses: [2.475066900253296, 2.0961790084838867, 9.593061447143555, 18.191526412963867, 1.151270866394043], step: 32600, lr: 9.825283294050992e-05
2023-03-19 08:19:06,960	44k	INFO	====> Epoch: 134, cost 338.96 s
2023-03-19 08:21:37,404	44k	INFO	Train Epoch: 135 [43%]
2023-03-19 08:21:37,406	44k	INFO	Losses: [2.563338041305542, 2.1201441287994385, 7.688729763031006, 19.278770446777344, 1.2072458267211914], step: 32800, lr: 9.824055133639235e-05
2023-03-19 08:21:51,279	44k	INFO	Saving model and optimizer state at iteration 135 to ./logs/44k/G_32800.pth
2023-03-19 08:21:54,772	44k	INFO	Saving model and optimizer state at iteration 135 to ./logs/44k/D_32800.pth
2023-03-19 08:25:08,240	44k	INFO	====> Epoch: 135, cost 361.28 s
2023-03-19 08:26:40,170	44k	INFO	Train Epoch: 136 [25%]
2023-03-19 08:26:40,172	44k	INFO	Losses: [2.617574691772461, 2.2839863300323486, 9.137656211853027, 14.755854606628418, 1.2641507387161255], step: 33000, lr: 9.822827126747529e-05
2023-03-19 08:30:47,138	44k	INFO	====> Epoch: 136, cost 338.90 s
2023-03-19 08:31:19,837	44k	INFO	Train Epoch: 137 [7%]
2023-03-19 08:31:19,844	44k	INFO	Losses: [2.5636496543884277, 2.3666346073150635, 7.662520408630371, 16.88466453552246, 1.189200758934021], step: 33200, lr: 9.821599273356685e-05
2023-03-19 08:35:49,699	44k	INFO	Train Epoch: 137 [89%]
2023-03-19 08:35:49,700	44k	INFO	Losses: [2.452141284942627, 2.1798009872436523, 8.91804027557373, 18.442901611328125, 1.312769889831543], step: 33400, lr: 9.821599273356685e-05
2023-03-19 08:36:27,568	44k	INFO	====> Epoch: 137, cost 340.43 s
2023-03-19 08:40:30,007	44k	INFO	Train Epoch: 138 [70%]
2023-03-19 08:40:30,009	44k	INFO	Losses: [2.617067337036133, 2.113490104675293, 7.150920391082764, 15.901472091674805, 1.3270865678787231], step: 33600, lr: 9.820371573447515e-05
2023-03-19 08:40:46,873	44k	INFO	Saving model and optimizer state at iteration 138 to ./logs/44k/G_33600.pth
2023-03-19 08:40:51,460	44k	INFO	Saving model and optimizer state at iteration 138 to ./logs/44k/D_33600.pth
2023-03-19 08:42:33,832	44k	INFO	====> Epoch: 138, cost 366.26 s
2023-03-19 08:45:38,047	44k	INFO	Train Epoch: 139 [52%]
2023-03-19 08:45:38,052	44k	INFO	Losses: [2.316445827484131, 2.195986032485962, 10.281219482421875, 18.55415916442871, 1.215269923210144], step: 33800, lr: 9.819144027000834e-05
2023-03-19 08:48:15,249	44k	INFO	====> Epoch: 139, cost 341.42 s
2023-03-19 08:50:20,298	44k	INFO	Train Epoch: 140 [34%]
2023-03-19 08:50:20,300	44k	INFO	Losses: [2.6842730045318604, 2.1175990104675293, 7.919965744018555, 18.743572235107422, 1.3355644941329956], step: 34000, lr: 9.817916633997459e-05
2023-03-19 08:53:55,720	44k	INFO	====> Epoch: 140, cost 340.47 s
2023-03-19 08:55:00,976	44k	INFO	Train Epoch: 141 [16%]
2023-03-19 08:55:00,978	44k	INFO	Losses: [2.619845390319824, 2.0506067276000977, 10.158342361450195, 18.480674743652344, 1.236604928970337], step: 34200, lr: 9.816689394418209e-05
2023-03-19 08:59:30,338	44k	INFO	Train Epoch: 141 [98%]
2023-03-19 08:59:30,340	44k	INFO	Losses: [2.4256668090820312, 2.433798313140869, 8.169852256774902, 17.573326110839844, 1.070956826210022], step: 34400, lr: 9.816689394418209e-05
2023-03-19 08:59:45,109	44k	INFO	Saving model and optimizer state at iteration 141 to ./logs/44k/G_34400.pth
2023-03-19 08:59:49,562	44k	INFO	Saving model and optimizer state at iteration 141 to ./logs/44k/D_34400.pth
2023-03-19 08:59:52,748	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_29600.pth
2023-03-19 08:59:57,393	44k	INFO	====> Epoch: 141, cost 361.67 s
2023-03-19 09:04:33,801	44k	INFO	Train Epoch: 142 [80%]
2023-03-19 09:04:33,803	44k	INFO	Losses: [2.531536102294922, 2.1438846588134766, 8.408173561096191, 16.42824935913086, 0.936545193195343], step: 34600, lr: 9.815462308243906e-05
2023-03-19 09:05:37,581	44k	INFO	====> Epoch: 142, cost 340.19 s
2023-03-19 09:09:11,612	44k	INFO	Train Epoch: 143 [62%]
2023-03-19 09:09:11,613	44k	INFO	Losses: [2.678959369659424, 2.0179028511047363, 7.447989463806152, 17.023529052734375, 1.249837040901184], step: 34800, lr: 9.814235375455375e-05
2023-03-19 09:11:14,770	44k	INFO	====> Epoch: 143, cost 337.19 s
2023-03-19 09:13:49,301	44k	INFO	Train Epoch: 144 [44%]
2023-03-19 09:13:49,302	44k	INFO	Losses: [2.475449562072754, 2.3263020515441895, 7.712765216827393, 13.488282203674316, 1.1845589876174927], step: 35000, lr: 9.813008596033443e-05
2023-03-19 09:16:51,345	44k	INFO	====> Epoch: 144, cost 336.57 s
2023-03-19 09:18:27,889	44k	INFO	Train Epoch: 145 [26%]
2023-03-19 09:18:27,905	44k	INFO	Losses: [2.4268431663513184, 2.1846930980682373, 11.101517677307129, 21.056636810302734, 1.1044888496398926], step: 35200, lr: 9.811781969958938e-05
2023-03-19 09:18:41,266	44k	INFO	Saving model and optimizer state at iteration 145 to ./logs/44k/G_35200.pth
2023-03-19 09:18:45,685	44k	INFO	Saving model and optimizer state at iteration 145 to ./logs/44k/D_35200.pth
2023-03-19 09:18:48,979	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_30400.pth
2023-03-19 09:22:52,471	44k	INFO	====> Epoch: 145, cost 361.13 s
2023-03-19 09:23:29,157	44k	INFO	Train Epoch: 146 [8%]
2023-03-19 09:23:29,159	44k	INFO	Losses: [2.8504366874694824, 1.936305284500122, 5.268221378326416, 13.815414428710938, 0.9653102159500122], step: 35400, lr: 9.810555497212693e-05
2023-03-19 09:27:58,941	44k	INFO	Train Epoch: 146 [90%]
2023-03-19 09:27:58,943	44k	INFO	Losses: [2.5447323322296143, 2.415102958679199, 9.219429969787598, 18.689132690429688, 1.075164556503296], step: 35600, lr: 9.810555497212693e-05
2023-03-19 09:28:31,793	44k	INFO	====> Epoch: 146, cost 339.32 s
2023-03-19 09:32:40,616	44k	INFO	Train Epoch: 147 [72%]
2023-03-19 09:32:40,617	44k	INFO	Losses: [2.342400312423706, 2.3232884407043457, 10.165895462036133, 16.43034553527832, 1.179328203201294], step: 35800, lr: 9.809329177775541e-05
2023-03-19 09:34:11,780	44k	INFO	====> Epoch: 147, cost 339.99 s
2023-03-19 09:37:20,350	44k	INFO	Train Epoch: 148 [54%]
2023-03-19 09:37:20,351	44k	INFO	Losses: [2.5748507976531982, 2.206359386444092, 7.658997535705566, 17.656526565551758, 1.1171844005584717], step: 36000, lr: 9.808103011628319e-05
2023-03-19 09:37:34,409	44k	INFO	Saving model and optimizer state at iteration 148 to ./logs/44k/G_36000.pth
2023-03-19 09:37:38,092	44k	INFO	Saving model and optimizer state at iteration 148 to ./logs/44k/D_36000.pth
2023-03-19 09:37:41,048	44k	INFO	.. Free up space by deleting ckpt ./logs/44k/G_28800.pth
2023-03-19 09:40:14,482	44k	INFO	====> Epoch: 148, cost 362.70 s
2023-03-19 09:42:24,056	44k	INFO	Train Epoch: 149 [36%]
2023-03-19 09:42:24,057	44k	INFO	Losses: [2.2920098304748535, 2.473909378051758, 10.183199882507324, 17.65275001525879, 1.2044261693954468], step: 36200, lr: 9.806876998751865e-05
2023-03-19 09:45:53,246	44k	INFO	====> Epoch: 149, cost 338.76 s
2023-03-19 09:47:02,913	44k	INFO	Train Epoch: 150 [18%]
2023-03-19 09:47:02,914	44k	INFO	Losses: [2.4962925910949707, 2.254976272583008, 6.165390491485596, 16.950763702392578, 1.07537043094635], step: 36400, lr: 9.80565113912702e-05