| 2023-06-30 14:37:06,826 44k INFO {'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 1234, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 6, 'fp16_run': False, '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': 3, 'all_in_mem': False, 'vol_aug': False}, '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, 'unit_interpolate_mode': 'nearest'}, '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': 768, 'ssl_dim': 768, 'n_speakers': 1, 'vocoder_name': 'nsf-hifigan', 'speech_encoder': 'vec768l12', 'speaker_embedding': False, 'vol_embedding': False}, 'spk': {'baobai': 0}, 'model_dir': './logs/44k'} | |
| 2023-06-30 14:37:19,151 44k INFO emb_g.weight is not in the checkpoint | |
| 2023-06-30 14:37:19,258 44k INFO Loaded checkpoint './logs/44k/G_0.pth' (iteration 0) | |
| 2023-06-30 14:37:22,595 44k INFO Loaded checkpoint './logs/44k/D_0.pth' (iteration 0) | |
| 2023-06-30 14:38:18,700 44k INFO ====> Epoch: 1, cost 71.88 s | |
| 2023-06-30 14:38:51,259 44k INFO ====> Epoch: 2, cost 32.56 s | |
| 2023-06-30 14:39:22,978 44k INFO ====> Epoch: 3, cost 31.72 s | |
| 2023-06-30 14:39:54,380 44k INFO ====> Epoch: 4, cost 31.40 s | |
| 2023-06-30 14:40:25,324 44k INFO ====> Epoch: 5, cost 30.94 s | |
| 2023-06-30 14:40:56,095 44k INFO ====> Epoch: 6, cost 30.77 s | |
| 2023-06-30 14:41:29,337 44k INFO ====> Epoch: 7, cost 33.24 s | |
| 2023-06-30 14:42:02,358 44k INFO ====> Epoch: 8, cost 33.02 s | |
| 2023-06-30 14:42:35,317 44k INFO ====> Epoch: 9, cost 32.96 s | |
| 2023-06-30 14:42:57,112 44k INFO Train Epoch: 10 [48%] | |
| 2023-06-30 14:42:57,114 44k INFO Losses: [1.8959810733795166, 2.6880526542663574, 17.734180450439453, 19.562091827392578, 1.2946572303771973], step: 200, lr: 9.98875562335968e-05, reference_loss: 43.174964904785156 | |
| 2023-06-30 14:43:10,441 44k INFO ====> Epoch: 10, cost 35.12 s | |
| 2023-06-30 14:43:43,162 44k INFO ====> Epoch: 11, cost 32.72 s | |
| 2023-06-30 14:44:15,981 44k INFO ====> Epoch: 12, cost 32.82 s | |
| 2023-06-30 14:44:48,728 44k INFO ====> Epoch: 13, cost 32.75 s | |
| 2023-06-30 14:45:25,133 44k INFO ====> Epoch: 14, cost 36.40 s | |
| 2023-06-30 14:45:58,539 44k INFO ====> Epoch: 15, cost 33.41 s | |
| 2023-06-30 14:46:31,629 44k INFO ====> Epoch: 16, cost 33.09 s | |
| 2023-06-30 14:47:04,664 44k INFO ====> Epoch: 17, cost 33.04 s | |
| 2023-06-30 14:47:37,740 44k INFO ====> Epoch: 18, cost 33.08 s | |
| 2023-06-30 14:48:10,719 44k INFO ====> Epoch: 19, cost 32.98 s | |
| 2023-06-30 14:48:22,893 44k INFO Train Epoch: 20 [0%] | |
| 2023-06-30 14:48:22,898 44k INFO Losses: [2.3653783798217773, 2.557995319366455, 14.70919418334961, 19.53294563293457, 1.1693130731582642], step: 400, lr: 9.976276699833672e-05, reference_loss: 40.33482360839844 | |
| 2023-06-30 14:48:44,505 44k INFO ====> Epoch: 20, cost 33.79 s | |
| 2023-06-30 14:49:17,551 44k INFO ====> Epoch: 21, cost 33.05 s | |
| 2023-06-30 14:49:51,128 44k INFO ====> Epoch: 22, cost 33.58 s | |
| 2023-06-30 14:50:23,065 44k INFO ====> Epoch: 23, cost 31.94 s | |
| 2023-06-30 14:50:54,615 44k INFO ====> Epoch: 24, cost 31.55 s | |
| 2023-06-30 14:51:25,520 44k INFO ====> Epoch: 25, cost 30.90 s | |
| 2023-06-30 14:51:56,697 44k INFO ====> Epoch: 26, cost 31.18 s | |
| 2023-06-30 14:52:28,209 44k INFO ====> Epoch: 27, cost 31.51 s | |
| 2023-06-30 14:52:59,970 44k INFO ====> Epoch: 28, cost 31.76 s | |
| 2023-06-30 14:53:20,763 44k INFO Train Epoch: 29 [52%] | |
| 2023-06-30 14:53:20,769 44k INFO Losses: [2.6521246433258057, 2.4930050373077393, 12.666550636291504, 16.643795013427734, 0.7230401635169983], step: 600, lr: 9.965058998565574e-05, reference_loss: 35.17851638793945 | |
| 2023-06-30 14:53:33,093 44k INFO ====> Epoch: 29, cost 33.12 s | |
| 2023-06-30 14:54:05,436 44k INFO ====> Epoch: 30, cost 32.34 s | |
| 2023-06-30 14:54:41,000 44k INFO ====> Epoch: 31, cost 35.56 s | |
| 2023-06-30 14:55:12,993 44k INFO ====> Epoch: 32, cost 31.99 s | |
| 2023-06-30 14:55:44,685 44k INFO ====> Epoch: 33, cost 31.69 s | |
| 2023-06-30 14:56:17,040 44k INFO ====> Epoch: 34, cost 32.35 s | |
| 2023-06-30 14:56:49,716 44k INFO ====> Epoch: 35, cost 32.68 s | |
| 2023-06-30 14:57:22,629 44k INFO ====> Epoch: 36, cost 32.91 s | |
| 2023-06-30 14:57:55,282 44k INFO ====> Epoch: 37, cost 32.65 s | |
| 2023-06-30 14:58:28,221 44k INFO ====> Epoch: 38, cost 32.94 s | |
| 2023-06-30 14:58:40,622 44k INFO Train Epoch: 39 [5%] | |
| 2023-06-30 14:58:40,627 44k INFO Losses: [2.364532470703125, 2.376206874847412, 13.579978942871094, 18.379371643066406, 0.7464990019798279], step: 800, lr: 9.952609679164422e-05, reference_loss: 37.44658660888672 | |
| 2023-06-30 14:58:57,785 44k INFO Saving model and optimizer state at iteration 39 to ./logs/44k/G_800.pth | |
| 2023-06-30 14:59:00,507 44k INFO Saving model and optimizer state at iteration 39 to ./logs/44k/D_800.pth | |
| 2023-06-30 14:59:25,308 44k INFO ====> Epoch: 39, cost 57.09 s | |
| 2023-06-30 14:59:57,095 44k INFO ====> Epoch: 40, cost 31.79 s | |
| 2023-06-30 15:00:28,121 44k INFO ====> Epoch: 41, cost 31.03 s | |
| 2023-06-30 15:00:59,305 44k INFO ====> Epoch: 42, cost 31.18 s | |
| 2023-06-30 15:01:30,318 44k INFO ====> Epoch: 43, cost 31.01 s | |
| 2023-06-30 15:02:01,218 44k INFO ====> Epoch: 44, cost 30.90 s | |
| 2023-06-30 15:02:32,111 44k INFO ====> Epoch: 45, cost 30.89 s | |
| 2023-06-30 15:03:02,826 44k INFO ====> Epoch: 46, cost 30.71 s | |
| 2023-06-30 15:03:33,946 44k INFO ====> Epoch: 47, cost 31.12 s | |
| 2023-06-30 15:03:56,499 44k INFO Train Epoch: 48 [57%] | |
| 2023-06-30 15:03:56,506 44k INFO Losses: [2.2675538063049316, 3.6340787410736084, 16.671533584594727, 18.78742790222168, 1.167222499847412], step: 1000, lr: 9.941418589985758e-05, reference_loss: 42.52781677246094 | |
| 2023-06-30 15:04:08,250 44k INFO ====> Epoch: 48, cost 34.30 s | |
| 2023-06-30 15:04:39,311 44k INFO ====> Epoch: 49, cost 31.06 s | |
| 2023-06-30 15:05:10,224 44k INFO ====> Epoch: 50, cost 30.91 s | |
| 2023-06-30 15:05:41,114 44k INFO ====> Epoch: 51, cost 30.89 s | |
| 2023-06-30 15:06:12,050 44k INFO ====> Epoch: 52, cost 30.94 s | |
| 2023-06-30 15:06:42,814 44k INFO ====> Epoch: 53, cost 30.76 s | |
| 2023-06-30 15:07:13,737 44k INFO ====> Epoch: 54, cost 30.92 s | |
| 2023-06-30 15:07:44,705 44k INFO ====> Epoch: 55, cost 30.97 s | |
| 2023-06-30 15:08:15,630 44k INFO ====> Epoch: 56, cost 30.92 s | |
| 2023-06-30 15:08:48,247 44k INFO ====> Epoch: 57, cost 32.62 s | |
| 2023-06-30 15:08:59,617 44k INFO Train Epoch: 58 [10%] | |
| 2023-06-30 15:08:59,618 44k INFO Losses: [1.9926245212554932, 2.864957332611084, 18.438426971435547, 18.126304626464844, 0.8427446484565735], step: 1200, lr: 9.928998804478705e-05, reference_loss: 42.26505661010742 | |
| 2023-06-30 15:09:19,600 44k INFO ====> Epoch: 58, cost 31.35 s | |
| 2023-06-30 15:09:49,643 44k INFO ====> Epoch: 59, cost 30.04 s | |
| 2023-06-30 15:10:19,992 44k INFO ====> Epoch: 60, cost 30.35 s | |
| 2023-06-30 15:10:50,560 44k INFO ====> Epoch: 61, cost 30.57 s | |
| 2023-06-30 15:11:21,195 44k INFO ====> Epoch: 62, cost 30.63 s | |
| 2023-06-30 15:11:52,084 44k INFO ====> Epoch: 63, cost 30.89 s | |
| 2023-06-30 15:12:22,952 44k INFO ====> Epoch: 64, cost 30.87 s | |
| 2023-06-30 15:12:53,969 44k INFO ====> Epoch: 65, cost 31.02 s | |
| 2023-06-30 15:13:25,364 44k INFO ====> Epoch: 66, cost 31.39 s | |
| 2023-06-30 15:13:47,506 44k INFO Train Epoch: 67 [62%] | |
| 2023-06-30 15:13:47,512 44k INFO Losses: [2.647841691970825, 2.527953624725342, 9.182493209838867, 16.640634536743164, 1.2151633501052856], step: 1400, lr: 9.917834264256819e-05, reference_loss: 32.214088439941406 | |
| 2023-06-30 15:13:57,889 44k INFO ====> Epoch: 67, cost 32.53 s | |
| 2023-06-30 15:14:28,999 44k INFO ====> Epoch: 68, cost 31.11 s | |
| 2023-06-30 15:14:59,985 44k INFO ====> Epoch: 69, cost 30.99 s | |
| 2023-06-30 15:15:30,993 44k INFO ====> Epoch: 70, cost 31.01 s | |
| 2023-06-30 15:16:02,022 44k INFO ====> Epoch: 71, cost 31.03 s | |
| 2023-06-30 15:16:33,079 44k INFO ====> Epoch: 72, cost 31.06 s | |
| 2023-06-30 15:17:04,536 44k INFO ====> Epoch: 73, cost 31.46 s | |
| 2023-06-30 15:17:35,690 44k INFO ====> Epoch: 74, cost 31.15 s | |
| 2023-06-30 15:18:06,820 44k INFO ====> Epoch: 75, cost 31.13 s | |
| 2023-06-30 15:18:39,687 44k INFO ====> Epoch: 76, cost 32.87 s | |
| 2023-06-30 15:18:53,121 44k INFO Train Epoch: 77 [14%] | |
| 2023-06-30 15:18:53,127 44k INFO Losses: [2.432774066925049, 2.5553371906280518, 13.044061660766602, 16.947370529174805, 0.8192602396011353], step: 1600, lr: 9.905443942579728e-05, reference_loss: 35.798805236816406 | |
| 2023-06-30 15:19:03,141 44k INFO Saving model and optimizer state at iteration 77 to ./logs/44k/G_1600.pth | |
| 2023-06-30 15:19:05,722 44k INFO Saving model and optimizer state at iteration 77 to ./logs/44k/D_1600.pth | |
| 2023-06-30 15:19:35,411 44k INFO ====> Epoch: 77, cost 55.72 s | |
| 2023-06-30 15:20:08,613 44k INFO ====> Epoch: 78, cost 33.20 s | |
| 2023-06-30 15:20:40,902 44k INFO ====> Epoch: 79, cost 32.29 s | |
| 2023-06-30 15:21:13,341 44k INFO ====> Epoch: 80, cost 32.44 s | |
| 2023-06-30 15:21:45,657 44k INFO ====> Epoch: 81, cost 32.32 s | |
| 2023-06-30 15:22:18,734 44k INFO ====> Epoch: 82, cost 33.08 s | |
| 2023-06-30 15:22:51,159 44k INFO ====> Epoch: 83, cost 32.43 s | |
| 2023-06-30 15:23:24,259 44k INFO ====> Epoch: 84, cost 33.10 s | |
| 2023-06-30 15:23:56,661 44k INFO ====> Epoch: 85, cost 32.40 s | |
| 2023-06-30 15:24:20,207 44k INFO Train Epoch: 86 [67%] | |
| 2023-06-30 15:24:20,214 44k INFO Losses: [2.352099895477295, 2.2271785736083984, 13.951580047607422, 17.9833927154541, 0.5835058093070984], step: 1800, lr: 9.894305888331732e-05, reference_loss: 37.09775924682617 | |
| 2023-06-30 15:24:29,659 44k INFO ====> Epoch: 86, cost 33.00 s | |
| 2023-06-30 15:25:01,308 44k INFO ====> Epoch: 87, cost 31.65 s | |
| 2023-06-30 15:25:32,659 44k INFO ====> Epoch: 88, cost 31.35 s | |
| 2023-06-30 15:26:03,885 44k INFO ====> Epoch: 89, cost 31.23 s | |
| 2023-06-30 15:26:35,491 44k INFO ====> Epoch: 90, cost 31.61 s | |
| 2023-06-30 15:27:06,743 44k INFO ====> Epoch: 91, cost 31.25 s | |
| 2023-06-30 15:27:37,584 44k INFO ====> Epoch: 92, cost 30.84 s | |
| 2023-06-30 15:28:08,393 44k INFO ====> Epoch: 93, cost 30.81 s | |
| 2023-06-30 15:28:39,617 44k INFO ====> Epoch: 94, cost 31.22 s | |
| 2023-06-30 15:29:10,633 44k INFO ====> Epoch: 95, cost 31.02 s | |
| 2023-06-30 15:29:23,575 44k INFO Train Epoch: 96 [19%] | |
| 2023-06-30 15:29:23,577 44k INFO Losses: [2.3719770908355713, 2.3133671283721924, 11.204004287719727, 17.378263473510742, 0.7282853722572327], step: 2000, lr: 9.881944960586671e-05, reference_loss: 33.99589920043945 | |
| 2023-06-30 15:29:42,777 44k INFO ====> Epoch: 96, cost 32.14 s | |
| 2023-06-30 15:30:13,698 44k INFO ====> Epoch: 97, cost 30.92 s | |
| 2023-06-30 15:30:44,702 44k INFO ====> Epoch: 98, cost 31.00 s | |
| 2023-06-30 15:31:18,320 44k INFO ====> Epoch: 99, cost 33.62 s | |
| 2023-07-01 01:42:02,697 44k INFO {'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 1234, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 6, 'fp16_run': False, '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': 3, 'all_in_mem': False, 'vol_aug': False}, '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, 'unit_interpolate_mode': 'nearest'}, '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': 768, 'ssl_dim': 768, 'n_speakers': 1, 'vocoder_name': 'nsf-hifigan', 'speech_encoder': 'vec768l12', 'speaker_embedding': False, 'vol_embedding': False}, 'spk': {'baobai': 0}, 'model_dir': './logs/44k'} | |
| 2023-07-01 01:42:03,056 44k WARNING git hash values are different. 79372940(saved) != e8365d4e(current) | |
| 2023-07-01 01:42:21,852 44k INFO Loaded checkpoint './logs/44k/G_1600.pth' (iteration 77) | |
| 2023-07-01 01:42:26,474 44k INFO Loaded checkpoint './logs/44k/D_1600.pth' (iteration 77) | |
| 2023-07-01 01:44:17,042 44k INFO {'train': {'log_interval': 200, 'eval_interval': 800, 'seed': 1234, 'epochs': 10000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 6, 'fp16_run': False, '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': 3, 'all_in_mem': False, 'vol_aug': False}, '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, 'unit_interpolate_mode': 'nearest'}, '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': 768, 'ssl_dim': 768, 'n_speakers': 1, 'vocoder_name': 'nsf-hifigan', 'speech_encoder': 'vec768l12', 'speaker_embedding': False, 'vol_embedding': False}, 'spk': {'baobai': 0}, 'model_dir': './logs/44k'} | |
| 2023-07-01 01:44:17,053 44k WARNING git hash values are different. 79372940(saved) != e8365d4e(current) | |
| 2023-07-01 01:44:22,866 44k INFO Loaded checkpoint './logs/44k/G_1600.pth' (iteration 77) | |
| 2023-07-01 01:44:23,773 44k INFO Loaded checkpoint './logs/44k/D_1600.pth' (iteration 77) | |