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DJQmUKV
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Parent(s):
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chore: replace with RVC v2 models
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- model/aris/Arisu.png +0 -0
- model/aris/added_IVF1779_Flat_nprobe_1_v2.index +3 -0
- model/{arona-test/added_IVF173_Flat_nprobe_4.index β aris/aris-rvc-v2.pth} +2 -2
- model/aris/config.json +11 -0
- model/aris/train.log +334 -0
- model/{arona-test β arona-ingame}/Blue_archive_tx.png +0 -0
- model/arona-ingame/added_IVF1896_Flat_nprobe_1_v2.index +3 -0
- model/{arona-test/arona-test.pth β arona-ingame/arona-rvc-v2.pth} +2 -2
- model/arona-ingame/config.json +11 -0
- model/arona-ingame/train.log +511 -0
- model/arona-test/config.json +0 -12
- model/arona-test/train.log +0 -261
- model/hoshino-test/hoshino-test.pth +0 -3
- model/hoshino-test/total_fea.npy +0 -3
- model/hoshino-test/train.log +0 -318
- model/{hoshino-test β hoshino}/Hoshino.png +0 -0
- model/{hoshino-test/added_IVF428_Flat_nprobe_6.index β hoshino/added_IVF797_Flat_nprobe_1_v2.index} +2 -2
- model/{hoshino-test β hoshino}/config.json +3 -4
- model/{arona-test/total_fea.npy β hoshino/hoshino-rvc-v2.pth} +2 -2
- model/hoshino/train.log +138 -0
- model/midori-test-dio/added_IVF165_Flat_nprobe_4.index +0 -3
- model/midori-test-dio/midori-test-dio.pth +0 -3
- model/midori-test-dio/total_fea.npy +0 -3
- model/midori-test-dio/train.log +0 -136
- model/{midori-test-dio β midori}/Midori.png +0 -0
- model/midori/added_IVF404_Flat_nprobe_1_v2.index +3 -0
- model/{midori-test-dio β midori}/config.json +4 -4
- model/midori/midori-rvc-v2.pth +3 -0
- model/midori/train.log +187 -0
- model/momoi-test-dio/added_IVF273_Flat_nprobe_5.index +0 -3
- model/momoi-test-dio/momoi-test-dio.pth +0 -3
- model/momoi-test-dio/total_fea.npy +0 -3
- model/momoi-test-dio/train.log +0 -139
- model/{momoi-test-dio β momoi}/Momoi.png +0 -0
- model/momoi/added_IVF386_Flat_nprobe_1_v2.index +3 -0
- model/{momoi-test-dio β momoi}/config.json +4 -4
- model/momoi/momoi-rvc-v2.pth +3 -0
- model/momoi/train.log +184 -0
- model/noa/Noa.png +0 -0
- model/noa/added_IVF811_Flat_nprobe_1_v2.index +3 -0
- model/noa/config.json +11 -0
- model/noa/noa-rvc-v2.pth +3 -0
- model/noa/train.log +269 -0
- model/shizuko/Shizuko.png +0 -0
- model/shizuko/added_IVF1058_Flat_nprobe_1_v2.index +3 -0
- model/shizuko/config.json +11 -0
- model/shizuko/shizuko-rvc-v2.pth +3 -0
- model/shizuko/train.log +278 -0
- model/yuuka-test/added_IVF426_Flat_nprobe_6.index +0 -3
- model/yuuka-test/total_fea.npy +0 -3
model/aris/Arisu.png
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model/aris/added_IVF1779_Flat_nprobe_1_v2.index
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version https://git-lfs.github.com/spec/v1
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oid sha256:2527b8077c50be42d622ce433babbe8f5d9ea23513ce73eedbc9b22549ea0945
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size 219246859
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model/{arona-test/added_IVF173_Flat_nprobe_4.index β aris/aris-rvc-v2.pth}
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:d414cf7d17d37ced06cdf3f72f48cdc4c5ca2a6a029a20274306caf007f30e12
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size 55225115
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model/aris/config.json
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{
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"model": "aris-rvc-v2.pth",
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"feat_index": "added_IVF1779_Flat_nprobe_1_v2.index",
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"speaker_id": 0,
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"name": "Tendou Arisu",
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"author": "DJQmUKV",
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"source": "Blue Archive",
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"note": "Audio grabbed from unofficial wiki([1](https://bluearchive.wiki/wiki/Arisu/audio), [2](https://bluearchive.wiki/wiki/Arisu_(Maid)/audio)), plus [16 episodes of shorts from official JP YouTube](https://www.youtube.com/playlist?list=PLYq4yLvct07kySJMctdPTYv_SuOZtPgw_) (2 episodes missing in this playlist, weird), trained 200 epoches, using V2 pretrained model.",
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"icon": "Arisu.png"
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}
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model/aris/train.log
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2023-05-15 21:55:29,777 aris-rvc-v2 INFO {'train': {'log_interval': 200, 'seed': 1234, 'epochs': 20000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 16, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 12800, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'max_wav_value': 32768.0, 'sampling_rate': 40000, 'filter_length': 2048, 'hop_length': 400, 'win_length': 2048, 'n_mel_channels': 125, 'mel_fmin': 0.0, 'mel_fmax': None, 'training_files': './logs/aris-rvc-v2/filelist.txt'}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 10, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'use_spectral_norm': False, 'gin_channels': 256, 'spk_embed_dim': 109}, 'model_dir': './logs/aris-rvc-v2', 'experiment_dir': './logs/aris-rvc-v2', 'save_every_epoch': 50, 'name': 'aris-rvc-v2', 'total_epoch': 200, 'pretrainG': 'pretrained_v2/f0G40k.pth', 'pretrainD': 'pretrained_v2/f0D40k.pth', 'version': 'v2', 'gpus': '0', 'sample_rate': '40k', 'if_f0': 1, 'if_latest': 1, 'save_every_weights': '1', 'if_cache_data_in_gpu': 0}
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2023-05-15 21:55:32,379 aris-rvc-v2 INFO loaded pretrained pretrained_v2/f0G40k.pth pretrained_v2/f0D40k.pth
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2023-05-15 21:55:46,833 aris-rvc-v2 INFO Train Epoch: 1 [0%]
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2023-05-15 21:55:46,833 aris-rvc-v2 INFO [0, 0.0001]
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2023-05-15 21:55:46,834 aris-rvc-v2 INFO loss_disc=4.785, loss_gen=2.544, loss_fm=12.849,loss_mel=33.887, loss_kl=9.000
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2023-05-15 22:02:34,593 aris-rvc-v2 INFO {'train': {'log_interval': 200, 'seed': 1234, 'epochs': 20000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 16, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 12800, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'max_wav_value': 32768.0, 'sampling_rate': 40000, 'filter_length': 2048, 'hop_length': 400, 'win_length': 2048, 'n_mel_channels': 125, 'mel_fmin': 0.0, 'mel_fmax': None, 'training_files': './logs/aris-rvc-v2/filelist.txt'}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 10, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'use_spectral_norm': False, 'gin_channels': 256, 'spk_embed_dim': 109}, 'model_dir': './logs/aris-rvc-v2', 'experiment_dir': './logs/aris-rvc-v2', 'save_every_epoch': 50, 'name': 'aris-rvc-v2', 'total_epoch': 200, 'pretrainG': 'pretrained_v2/f0G40k.pth', 'pretrainD': 'pretrained_v2/f0D40k.pth', 'version': 'v2', 'gpus': '0', 'sample_rate': '40k', 'if_f0': 1, 'if_latest': 1, 'save_every_weights': '0', 'if_cache_data_in_gpu': 0}
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2023-05-15 22:02:36,427 aris-rvc-v2 INFO loaded pretrained pretrained_v2/f0G40k.pth pretrained_v2/f0D40k.pth
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2023-05-15 22:02:50,696 aris-rvc-v2 INFO Train Epoch: 1 [0%]
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2023-05-15 22:02:50,696 aris-rvc-v2 INFO [0, 0.0001]
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2023-05-15 22:02:50,696 aris-rvc-v2 INFO loss_disc=4.549, loss_gen=2.435, loss_fm=11.997,loss_mel=34.931, loss_kl=9.000
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2023-05-15 22:03:10,267 aris-rvc-v2 INFO ====> Epoch: 1
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2023-05-15 22:03:27,543 aris-rvc-v2 INFO ====> Epoch: 2
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2023-05-15 22:03:44,921 aris-rvc-v2 INFO ====> Epoch: 3
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2023-05-15 22:04:02,241 aris-rvc-v2 INFO ====> Epoch: 4
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2023-05-15 22:04:19,321 aris-rvc-v2 INFO ====> Epoch: 5
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2023-05-15 22:04:22,029 aris-rvc-v2 INFO Train Epoch: 6 [13%]
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2023-05-15 22:04:22,030 aris-rvc-v2 INFO [200, 9.993751562304699e-05]
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2023-05-15 22:04:22,030 aris-rvc-v2 INFO loss_disc=3.771, loss_gen=3.430, loss_fm=13.595,loss_mel=24.923, loss_kl=2.278
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2023-05-15 22:04:36,841 aris-rvc-v2 INFO ====> Epoch: 6
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2023-05-15 22:04:53,831 aris-rvc-v2 INFO ====> Epoch: 7
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2023-05-15 22:05:10,730 aris-rvc-v2 INFO ====> Epoch: 8
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2023-05-15 22:05:27,803 aris-rvc-v2 INFO ====> Epoch: 9
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2023-05-15 22:05:44,797 aris-rvc-v2 INFO ====> Epoch: 10
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2023-05-15 22:05:49,896 aris-rvc-v2 INFO Train Epoch: 11 [26%]
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2023-05-15 22:05:49,897 aris-rvc-v2 INFO [400, 9.987507028906759e-05]
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2023-05-15 22:05:49,897 aris-rvc-v2 INFO loss_disc=3.760, loss_gen=3.342, loss_fm=15.343,loss_mel=24.609, loss_kl=1.631
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2023-05-15 22:06:02,487 aris-rvc-v2 INFO ====> Epoch: 11
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2023-05-15 22:06:19,421 aris-rvc-v2 INFO ====> Epoch: 12
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2023-05-15 22:06:36,497 aris-rvc-v2 INFO ====> Epoch: 13
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2023-05-15 22:06:53,400 aris-rvc-v2 INFO ====> Epoch: 14
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2023-05-15 22:07:10,233 aris-rvc-v2 INFO ====> Epoch: 15
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2023-05-15 22:07:17,255 aris-rvc-v2 INFO Train Epoch: 16 [38%]
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2023-05-15 22:07:17,256 aris-rvc-v2 INFO [600, 9.981266397366609e-05]
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2023-05-15 22:07:17,256 aris-rvc-v2 INFO loss_disc=3.773, loss_gen=3.238, loss_fm=15.613,loss_mel=23.277, loss_kl=1.269
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2023-05-15 22:07:27,635 aris-rvc-v2 INFO ====> Epoch: 16
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2023-05-15 22:07:45,259 aris-rvc-v2 INFO ====> Epoch: 17
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2023-05-15 22:08:02,093 aris-rvc-v2 INFO ====> Epoch: 18
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2023-05-15 22:08:18,957 aris-rvc-v2 INFO ====> Epoch: 19
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2023-05-15 22:08:35,901 aris-rvc-v2 INFO ====> Epoch: 20
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2023-05-15 22:08:45,201 aris-rvc-v2 INFO Train Epoch: 21 [51%]
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2023-05-15 22:08:45,202 aris-rvc-v2 INFO [800, 9.975029665246193e-05]
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2023-05-15 22:08:45,202 aris-rvc-v2 INFO loss_disc=3.883, loss_gen=3.217, loss_fm=12.976,loss_mel=21.071, loss_kl=1.284
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2023-05-15 22:08:53,301 aris-rvc-v2 INFO ====> Epoch: 21
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2023-05-15 22:09:10,264 aris-rvc-v2 INFO ====> Epoch: 22
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2023-05-15 22:09:27,229 aris-rvc-v2 INFO ====> Epoch: 23
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2023-05-15 22:09:44,085 aris-rvc-v2 INFO ====> Epoch: 24
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2023-05-15 22:10:01,428 aris-rvc-v2 INFO ====> Epoch: 25
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2023-05-15 22:10:12,825 aris-rvc-v2 INFO Train Epoch: 26 [64%]
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2023-05-15 22:10:12,825 aris-rvc-v2 INFO [1000, 9.968796830108985e-05]
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2023-05-15 22:10:12,826 aris-rvc-v2 INFO loss_disc=3.750, loss_gen=3.318, loss_fm=13.821,loss_mel=18.883, loss_kl=1.427
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2023-05-15 22:10:18,766 aris-rvc-v2 INFO ====> Epoch: 26
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2023-05-15 22:10:35,711 aris-rvc-v2 INFO ====> Epoch: 27
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2023-05-15 22:10:52,715 aris-rvc-v2 INFO ====> Epoch: 28
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2023-05-15 22:11:09,608 aris-rvc-v2 INFO ====> Epoch: 29
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2023-05-15 22:11:26,682 aris-rvc-v2 INFO ====> Epoch: 30
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2023-05-15 22:11:40,127 aris-rvc-v2 INFO Train Epoch: 31 [77%]
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2023-05-15 22:11:40,128 aris-rvc-v2 INFO [1200, 9.962567889519979e-05]
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2023-05-15 22:11:40,128 aris-rvc-v2 INFO loss_disc=3.898, loss_gen=3.599, loss_fm=14.615,loss_mel=23.822, loss_kl=1.466
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2023-05-15 22:11:43,945 aris-rvc-v2 INFO ====> Epoch: 31
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2023-05-15 22:12:00,914 aris-rvc-v2 INFO ====> Epoch: 32
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2023-05-15 22:12:17,963 aris-rvc-v2 INFO ====> Epoch: 33
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2023-05-15 22:42:56,490 aris-rvc-v2 INFO ====> Epoch: 140
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+
2023-05-15 22:43:13,679 aris-rvc-v2 INFO ====> Epoch: 141
|
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2023-05-15 22:43:30,689 aris-rvc-v2 INFO ====> Epoch: 142
|
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+
2023-05-15 22:43:47,837 aris-rvc-v2 INFO ====> Epoch: 143
|
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+
2023-05-15 22:43:58,337 aris-rvc-v2 INFO Train Epoch: 144 [59%]
|
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2023-05-15 22:43:58,338 aris-rvc-v2 INFO [5600, 9.822827126747529e-05]
|
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+
2023-05-15 22:43:58,338 aris-rvc-v2 INFO loss_disc=3.942, loss_gen=3.338, loss_fm=11.430,loss_mel=22.194, loss_kl=1.305
|
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+
2023-05-15 22:44:05,385 aris-rvc-v2 INFO ====> Epoch: 144
|
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+
2023-05-15 22:44:22,485 aris-rvc-v2 INFO ====> Epoch: 145
|
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2023-05-15 22:44:39,358 aris-rvc-v2 INFO ====> Epoch: 146
|
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2023-05-15 22:44:56,539 aris-rvc-v2 INFO ====> Epoch: 147
|
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2023-05-15 22:45:13,598 aris-rvc-v2 INFO ====> Epoch: 148
|
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+
2023-05-15 22:45:26,287 aris-rvc-v2 INFO Train Epoch: 149 [72%]
|
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+
2023-05-15 22:45:26,288 aris-rvc-v2 INFO [5800, 9.816689394418209e-05]
|
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+
2023-05-15 22:45:26,288 aris-rvc-v2 INFO loss_disc=3.495, loss_gen=3.592, loss_fm=17.236,loss_mel=23.007, loss_kl=0.933
|
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+
2023-05-15 22:45:31,160 aris-rvc-v2 INFO ====> Epoch: 149
|
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+
2023-05-15 22:45:48,157 aris-rvc-v2 INFO Saving model and optimizer state at epoch 150 to ./logs/aris-rvc-v2/G_2333333.pth
|
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+
2023-05-15 22:45:49,822 aris-rvc-v2 INFO Saving model and optimizer state at epoch 150 to ./logs/aris-rvc-v2/D_2333333.pth
|
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+
2023-05-15 22:45:52,877 aris-rvc-v2 INFO ====> Epoch: 150
|
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2023-05-15 22:46:10,033 aris-rvc-v2 INFO ====> Epoch: 151
|
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2023-05-15 22:46:27,157 aris-rvc-v2 INFO ====> Epoch: 152
|
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2023-05-15 22:46:44,115 aris-rvc-v2 INFO ====> Epoch: 153
|
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2023-05-15 22:46:59,122 aris-rvc-v2 INFO Train Epoch: 154 [85%]
|
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+
2023-05-15 22:46:59,123 aris-rvc-v2 INFO [6000, 9.810555497212693e-05]
|
259 |
+
2023-05-15 22:46:59,123 aris-rvc-v2 INFO loss_disc=3.481, loss_gen=3.871, loss_fm=17.682,loss_mel=21.613, loss_kl=0.794
|
260 |
+
2023-05-15 22:47:01,818 aris-rvc-v2 INFO ====> Epoch: 154
|
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2023-05-15 22:47:18,776 aris-rvc-v2 INFO ====> Epoch: 155
|
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2023-05-15 22:47:35,733 aris-rvc-v2 INFO ====> Epoch: 156
|
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2023-05-15 22:47:52,760 aris-rvc-v2 INFO ====> Epoch: 157
|
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2023-05-15 22:48:09,662 aris-rvc-v2 INFO ====> Epoch: 158
|
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+
2023-05-15 22:48:26,738 aris-rvc-v2 INFO Train Epoch: 159 [97%]
|
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2023-05-15 22:48:26,739 aris-rvc-v2 INFO [6200, 9.804425432734629e-05]
|
267 |
+
2023-05-15 22:48:26,739 aris-rvc-v2 INFO loss_disc=3.736, loss_gen=3.403, loss_fm=14.636,loss_mel=17.213, loss_kl=0.369
|
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+
2023-05-15 22:48:27,099 aris-rvc-v2 INFO ====> Epoch: 159
|
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2023-05-15 22:48:44,000 aris-rvc-v2 INFO ====> Epoch: 160
|
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2023-05-15 22:49:00,903 aris-rvc-v2 INFO ====> Epoch: 161
|
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2023-05-15 22:49:17,997 aris-rvc-v2 INFO ====> Epoch: 162
|
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2023-05-15 22:49:34,924 aris-rvc-v2 INFO ====> Epoch: 163
|
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2023-05-15 22:49:52,111 aris-rvc-v2 INFO ====> Epoch: 164
|
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2023-05-15 22:49:54,510 aris-rvc-v2 INFO Train Epoch: 165 [10%]
|
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2023-05-15 22:49:54,511 aris-rvc-v2 INFO [6400, 9.797074411189339e-05]
|
276 |
+
2023-05-15 22:49:54,511 aris-rvc-v2 INFO loss_disc=3.760, loss_gen=3.663, loss_fm=14.498,loss_mel=21.560, loss_kl=1.157
|
277 |
+
2023-05-15 22:50:09,587 aris-rvc-v2 INFO ====> Epoch: 165
|
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2023-05-15 22:50:26,493 aris-rvc-v2 INFO ====> Epoch: 166
|
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2023-05-15 22:50:43,388 aris-rvc-v2 INFO ====> Epoch: 167
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2023-05-15 22:51:00,240 aris-rvc-v2 INFO ====> Epoch: 168
|
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2023-05-15 22:51:17,323 aris-rvc-v2 INFO ====> Epoch: 169
|
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2023-05-15 22:51:21,784 aris-rvc-v2 INFO Train Epoch: 170 [23%]
|
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+
2023-05-15 22:51:21,785 aris-rvc-v2 INFO [6600, 9.790952770283884e-05]
|
284 |
+
2023-05-15 22:51:21,785 aris-rvc-v2 INFO loss_disc=3.929, loss_gen=3.277, loss_fm=12.287,loss_mel=18.181, loss_kl=1.063
|
285 |
+
2023-05-15 22:51:34,589 aris-rvc-v2 INFO ====> Epoch: 170
|
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2023-05-15 22:51:51,453 aris-rvc-v2 INFO ====> Epoch: 171
|
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2023-05-15 22:52:08,357 aris-rvc-v2 INFO ====> Epoch: 172
|
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2023-05-15 22:52:25,357 aris-rvc-v2 INFO ====> Epoch: 173
|
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2023-05-15 22:52:42,448 aris-rvc-v2 INFO ====> Epoch: 174
|
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2023-05-15 22:52:49,157 aris-rvc-v2 INFO Train Epoch: 175 [36%]
|
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+
2023-05-15 22:52:49,157 aris-rvc-v2 INFO [6800, 9.784834954447608e-05]
|
292 |
+
2023-05-15 22:52:49,158 aris-rvc-v2 INFO loss_disc=3.595, loss_gen=3.630, loss_fm=16.542,loss_mel=20.199, loss_kl=0.867
|
293 |
+
2023-05-15 22:52:59,802 aris-rvc-v2 INFO ====> Epoch: 175
|
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+
2023-05-15 22:53:16,864 aris-rvc-v2 INFO ====> Epoch: 176
|
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+
2023-05-15 22:53:33,771 aris-rvc-v2 INFO ====> Epoch: 177
|
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+
2023-05-15 22:53:50,900 aris-rvc-v2 INFO ====> Epoch: 178
|
297 |
+
2023-05-15 22:54:08,133 aris-rvc-v2 INFO ====> Epoch: 179
|
298 |
+
2023-05-15 22:54:16,965 aris-rvc-v2 INFO Train Epoch: 180 [49%]
|
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+
2023-05-15 22:54:16,966 aris-rvc-v2 INFO [7000, 9.778720961290439e-05]
|
300 |
+
2023-05-15 22:54:16,966 aris-rvc-v2 INFO loss_disc=3.430, loss_gen=3.789, loss_fm=19.434,loss_mel=22.332, loss_kl=0.912
|
301 |
+
2023-05-15 22:54:25,600 aris-rvc-v2 INFO ====> Epoch: 180
|
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2023-05-15 22:54:42,480 aris-rvc-v2 INFO ====> Epoch: 181
|
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2023-05-15 22:54:59,546 aris-rvc-v2 INFO ====> Epoch: 182
|
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2023-05-15 22:55:16,597 aris-rvc-v2 INFO ====> Epoch: 183
|
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2023-05-15 22:55:33,457 aris-rvc-v2 INFO ====> Epoch: 184
|
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+
2023-05-15 22:55:44,562 aris-rvc-v2 INFO Train Epoch: 185 [62%]
|
307 |
+
2023-05-15 22:55:44,563 aris-rvc-v2 INFO [7200, 9.772610788423802e-05]
|
308 |
+
2023-05-15 22:55:44,563 aris-rvc-v2 INFO loss_disc=3.668, loss_gen=3.496, loss_fm=13.124,loss_mel=19.489, loss_kl=1.254
|
309 |
+
2023-05-15 22:55:50,954 aris-rvc-v2 INFO ====> Epoch: 185
|
310 |
+
2023-05-15 22:56:07,844 aris-rvc-v2 INFO ====> Epoch: 186
|
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+
2023-05-15 22:56:24,793 aris-rvc-v2 INFO ====> Epoch: 187
|
312 |
+
2023-05-15 22:56:41,839 aris-rvc-v2 INFO ====> Epoch: 188
|
313 |
+
2023-05-15 22:56:58,732 aris-rvc-v2 INFO ====> Epoch: 189
|
314 |
+
2023-05-15 22:57:11,671 aris-rvc-v2 INFO Train Epoch: 190 [74%]
|
315 |
+
2023-05-15 22:57:11,672 aris-rvc-v2 INFO [7400, 9.766504433460612e-05]
|
316 |
+
2023-05-15 22:57:11,672 aris-rvc-v2 INFO loss_disc=3.535, loss_gen=3.488, loss_fm=15.064,loss_mel=19.080, loss_kl=0.638
|
317 |
+
2023-05-15 22:57:15,911 aris-rvc-v2 INFO ====> Epoch: 190
|
318 |
+
2023-05-15 22:57:32,735 aris-rvc-v2 INFO ====> Epoch: 191
|
319 |
+
2023-05-15 22:57:49,754 aris-rvc-v2 INFO ====> Epoch: 192
|
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2023-05-15 22:58:06,835 aris-rvc-v2 INFO ====> Epoch: 193
|
321 |
+
2023-05-15 22:58:23,715 aris-rvc-v2 INFO ====> Epoch: 194
|
322 |
+
2023-05-15 22:58:38,984 aris-rvc-v2 INFO Train Epoch: 195 [87%]
|
323 |
+
2023-05-15 22:58:38,985 aris-rvc-v2 INFO [7600, 9.760401894015275e-05]
|
324 |
+
2023-05-15 22:58:38,985 aris-rvc-v2 INFO loss_disc=3.553, loss_gen=3.495, loss_fm=14.149,loss_mel=18.584, loss_kl=0.617
|
325 |
+
2023-05-15 22:58:41,096 aris-rvc-v2 INFO ====> Epoch: 195
|
326 |
+
2023-05-15 22:58:58,067 aris-rvc-v2 INFO ====> Epoch: 196
|
327 |
+
2023-05-15 22:59:15,048 aris-rvc-v2 INFO ====> Epoch: 197
|
328 |
+
2023-05-15 22:59:32,116 aris-rvc-v2 INFO ====> Epoch: 198
|
329 |
+
2023-05-15 22:59:49,228 aris-rvc-v2 INFO ====> Epoch: 199
|
330 |
+
2023-05-15 23:00:06,210 aris-rvc-v2 INFO Saving model and optimizer state at epoch 200 to ./logs/aris-rvc-v2/G_2333333.pth
|
331 |
+
2023-05-15 23:00:07,929 aris-rvc-v2 INFO Saving model and optimizer state at epoch 200 to ./logs/aris-rvc-v2/D_2333333.pth
|
332 |
+
2023-05-15 23:00:11,101 aris-rvc-v2 INFO ====> Epoch: 200
|
333 |
+
2023-05-15 23:00:11,102 aris-rvc-v2 INFO Training is done. The program is closed.
|
334 |
+
2023-05-15 23:00:11,200 aris-rvc-v2 INFO saving final ckpt:Success.
|
model/{arona-test β arona-ingame}/Blue_archive_tx.png
RENAMED
File without changes
|
model/arona-ingame/added_IVF1896_Flat_nprobe_1_v2.index
ADDED
@@ -0,0 +1,3 @@
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
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oid sha256:9efc172644018663a9df3847bc669c59d6d05dcb638b55e61ef1d9e09e34983f
|
3 |
+
size 233602739
|
model/{arona-test/arona-test.pth β arona-ingame/arona-rvc-v2.pth}
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
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|
1 |
version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:0ce3d5aa0dc35adb8ae0ef48a1388372b963e93da5dcc319577badd042041fc8
|
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+
size 55225574
|
model/arona-ingame/config.json
ADDED
@@ -0,0 +1,11 @@
|
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|
1 |
+
{
|
2 |
+
"model": "arona-rvc-v2.pth",
|
3 |
+
"feat_index": "added_IVF1896_Flat_nprobe_1_v2.index",
|
4 |
+
"speaker_id": 0,
|
5 |
+
|
6 |
+
"name": "Arona (In-game Version)",
|
7 |
+
"author": "DJQmUKV",
|
8 |
+
"source": "Blue Archive",
|
9 |
+
"note": "Audio grabbed from game resources (global version, plus tutorial lines), trained 300 epoches, using V2 pretrained model.\n\nBecause the in-game voice is designed so, the output may be poorer. Maybe I'll use [Arona Channel](https://www.youtube.com/playlist?list=PLYq4yLvct07nxRKhjo9D8RzRKCs_2oBIx) instead? But I tried to separate the voice, the result is... not good.",
|
10 |
+
"icon": "Blue_archive_tx.png"
|
11 |
+
}
|
model/arona-ingame/train.log
ADDED
@@ -0,0 +1,511 @@
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2023-05-23 23:20:04,519 arona-rvc-v2 INFO {'train': {'log_interval': 200, 'seed': 1234, 'epochs': 20000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 16, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 12800, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'max_wav_value': 32768.0, 'sampling_rate': 40000, 'filter_length': 2048, 'hop_length': 400, 'win_length': 2048, 'n_mel_channels': 125, 'mel_fmin': 0.0, 'mel_fmax': None, 'training_files': './logs/arona-rvc-v2/filelist.txt'}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 10, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'use_spectral_norm': False, 'gin_channels': 256, 'spk_embed_dim': 109}, 'model_dir': './logs/arona-rvc-v2', 'experiment_dir': './logs/arona-rvc-v2', 'save_every_epoch': 50, 'name': 'arona-rvc-v2', 'total_epoch': 300, 'pretrainG': 'pretrained_v2/f0G40k.pth', 'pretrainD': 'pretrained_v2/f0D40k.pth', 'version': 'v2', 'gpus': '0', 'sample_rate': '40k', 'if_f0': 1, 'if_latest': 1, 'save_every_weights': '0', 'if_cache_data_in_gpu': 0}
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2023-05-23 23:20:06,391 arona-rvc-v2 INFO loaded pretrained pretrained_v2/f0G40k.pth pretrained_v2/f0D40k.pth
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2023-05-23 23:20:20,803 arona-rvc-v2 INFO Train Epoch: 1 [0%]
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2023-05-23 23:20:20,804 arona-rvc-v2 INFO [0, 0.0001]
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2023-05-23 23:20:20,804 arona-rvc-v2 INFO loss_disc=3.883, loss_gen=2.610, loss_fm=16.129,loss_mel=40.600, loss_kl=9.000
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2023-05-23 23:20:42,807 arona-rvc-v2 INFO ====> Epoch: 1
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2023-05-23 23:21:21,871 arona-rvc-v2 INFO ====> Epoch: 3
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2023-05-23 23:21:40,858 arona-rvc-v2 INFO ====> Epoch: 4
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2023-05-23 23:21:53,741 arona-rvc-v2 INFO Train Epoch: 5 [65%]
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2023-05-23 23:21:53,742 arona-rvc-v2 INFO [200, 9.995000937421877e-05]
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2023-05-23 23:21:53,742 arona-rvc-v2 INFO loss_disc=3.756, loss_gen=3.546, loss_fm=13.095,loss_mel=24.826, loss_kl=1.758
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2023-05-23 23:22:00,473 arona-rvc-v2 INFO ====> Epoch: 5
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2023-05-23 23:22:39,155 arona-rvc-v2 INFO ====> Epoch: 7
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2023-05-23 23:23:16,964 arona-rvc-v2 INFO ====> Epoch: 9
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2023-05-23 23:23:23,409 arona-rvc-v2 INFO Train Epoch: 10 [30%]
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2023-05-23 23:23:23,410 arona-rvc-v2 INFO [400, 9.98875562335968e-05]
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2023-05-23 23:23:23,410 arona-rvc-v2 INFO loss_disc=3.518, loss_gen=3.804, loss_fm=18.084,loss_mel=26.345, loss_kl=1.530
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2023-05-23 23:23:36,630 arona-rvc-v2 INFO ====> Epoch: 10
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2023-05-23 23:24:14,760 arona-rvc-v2 INFO ====> Epoch: 12
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2023-05-23 23:24:33,674 arona-rvc-v2 INFO ====> Epoch: 13
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2023-05-23 23:24:52,259 arona-rvc-v2 INFO Train Epoch: 14 [95%]
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2023-05-23 23:24:52,260 arona-rvc-v2 INFO [600, 9.983762181915804e-05]
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2023-05-23 23:24:52,260 arona-rvc-v2 INFO loss_disc=3.727, loss_gen=3.688, loss_fm=15.973,loss_mel=23.846, loss_kl=1.327
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2023-05-23 23:24:53,075 arona-rvc-v2 INFO ====> Epoch: 14
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2023-05-23 23:26:08,626 arona-rvc-v2 INFO ====> Epoch: 18
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2023-05-23 23:26:20,472 arona-rvc-v2 INFO Train Epoch: 19 [60%]
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2023-05-23 23:26:20,474 arona-rvc-v2 INFO [800, 9.977523890319963e-05]
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2023-05-23 23:26:20,474 arona-rvc-v2 INFO loss_disc=3.657, loss_gen=3.535, loss_fm=16.022,loss_mel=25.575, loss_kl=1.554
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2023-05-23 23:26:27,810 arona-rvc-v2 INFO ====> Epoch: 19
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2023-05-23 23:27:43,516 arona-rvc-v2 INFO ====> Epoch: 23
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2023-05-23 23:27:48,885 arona-rvc-v2 INFO Train Epoch: 24 [26%]
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2023-05-23 23:27:48,886 arona-rvc-v2 INFO [1000, 9.971289496681757e-05]
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2023-05-23 23:27:48,886 arona-rvc-v2 INFO loss_disc=3.663, loss_gen=3.480, loss_fm=15.085,loss_mel=24.222, loss_kl=1.344
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2023-05-23 23:28:02,777 arona-rvc-v2 INFO ====> Epoch: 24
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2023-05-23 23:28:59,772 arona-rvc-v2 INFO ====> Epoch: 27
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2023-05-23 23:29:17,338 arona-rvc-v2 INFO Train Epoch: 28 [91%]
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2023-05-23 23:29:17,339 arona-rvc-v2 INFO [1200, 9.966304786663908e-05]
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2023-05-23 23:29:17,339 arona-rvc-v2 INFO loss_disc=3.601, loss_gen=3.593, loss_fm=17.893,loss_mel=25.306, loss_kl=1.599
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2023-05-23 23:29:19,066 arona-rvc-v2 INFO ====> Epoch: 28
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2023-05-23 23:29:38,037 arona-rvc-v2 INFO ====> Epoch: 29
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2023-05-23 23:29:56,953 arona-rvc-v2 INFO ====> Epoch: 30
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2023-05-23 23:30:15,938 arona-rvc-v2 INFO ====> Epoch: 31
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2023-05-23 23:30:34,773 arona-rvc-v2 INFO ====> Epoch: 32
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2023-05-23 23:30:45,943 arona-rvc-v2 INFO Train Epoch: 33 [56%]
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2023-05-23 23:30:45,944 arona-rvc-v2 INFO [1400, 9.960077403212722e-05]
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2023-05-23 23:30:45,944 arona-rvc-v2 INFO loss_disc=3.479, loss_gen=3.919, loss_fm=17.325,loss_mel=23.600, loss_kl=1.300
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2023-05-23 23:30:54,248 arona-rvc-v2 INFO ====> Epoch: 33
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2023-05-23 23:31:13,038 arona-rvc-v2 INFO ====> Epoch: 34
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2023-05-23 23:31:31,839 arona-rvc-v2 INFO ====> Epoch: 35
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2023-05-23 23:31:51,286 arona-rvc-v2 INFO ====> Epoch: 36
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2023-05-23 23:32:10,177 arona-rvc-v2 INFO ====> Epoch: 37
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2023-05-23 23:32:14,868 arona-rvc-v2 INFO Train Epoch: 38 [21%]
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2023-05-23 23:32:14,870 arona-rvc-v2 INFO [1600, 9.953853910903285e-05]
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2023-05-23 23:32:14,870 arona-rvc-v2 INFO loss_disc=3.585, loss_gen=3.496, loss_fm=16.918,loss_mel=23.579, loss_kl=1.016
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2023-05-23 23:32:30,188 arona-rvc-v2 INFO ====> Epoch: 38
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2023-05-23 23:32:48,985 arona-rvc-v2 INFO ====> Epoch: 39
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2023-05-23 23:33:43,896 arona-rvc-v2 INFO [1800, 9.948877917043875e-05]
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2023-05-23 23:33:43,897 arona-rvc-v2 INFO loss_disc=3.266, loss_gen=3.800, loss_fm=16.185,loss_mel=21.541, loss_kl=0.282
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2023-05-23 23:33:46,509 arona-rvc-v2 INFO ====> Epoch: 42
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2023-05-23 23:35:12,714 arona-rvc-v2 INFO [2000, 9.942661422663591e-05]
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2023-05-23 23:35:12,714 arona-rvc-v2 INFO loss_disc=3.705, loss_gen=3.259, loss_fm=14.703,loss_mel=21.704, loss_kl=1.017
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2023-05-23 23:35:21,718 arona-rvc-v2 INFO ====> Epoch: 47
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2023-05-23 23:35:40,807 arona-rvc-v2 INFO ====> Epoch: 48
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2023-05-23 23:35:59,647 arona-rvc-v2 INFO ====> Epoch: 49
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2023-05-23 23:36:18,508 arona-rvc-v2 INFO Saving model and optimizer state at epoch 50 to ./logs/arona-rvc-v2/G_2333333.pth
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2023-05-23 23:36:19,100 arona-rvc-v2 INFO Saving model and optimizer state at epoch 50 to ./logs/arona-rvc-v2/D_2333333.pth
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2023-05-23 23:36:20,022 arona-rvc-v2 INFO ====> Epoch: 50
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2023-05-23 23:36:42,440 arona-rvc-v2 INFO loss_disc=3.413, loss_gen=3.943, loss_fm=15.355,loss_mel=21.807, loss_kl=0.692
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2023-05-23 23:36:58,134 arona-rvc-v2 INFO ====> Epoch: 52
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2023-05-23 23:38:10,732 arona-rvc-v2 INFO [2400, 9.931481519679228e-05]
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2023-05-23 23:38:10,732 arona-rvc-v2 INFO loss_disc=3.575, loss_gen=3.632, loss_fm=13.737,loss_mel=20.467, loss_kl=0.843
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2023-05-23 23:38:14,240 arona-rvc-v2 INFO ====> Epoch: 56
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2023-05-23 23:39:39,023 arona-rvc-v2 INFO [2600, 9.92527589532945e-05]
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2023-05-23 23:39:39,023 arona-rvc-v2 INFO loss_disc=3.494, loss_gen=3.950, loss_fm=16.016,loss_mel=24.121, loss_kl=0.923
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2023-05-23 23:41:07,048 arona-rvc-v2 INFO loss_disc=3.560, loss_gen=3.525, loss_fm=14.166,loss_mel=21.959, loss_kl=0.956
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2023-05-23 23:41:23,330 arona-rvc-v2 INFO ====> Epoch: 66
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2023-05-23 23:42:33,908 arona-rvc-v2 INFO loss_disc=3.732, loss_gen=3.785, loss_fm=15.409,loss_mel=22.995, loss_kl=1.228
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2023-05-23 23:44:00,684 arona-rvc-v2 INFO Train Epoch: 75 [42%]
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2023-05-23 23:44:00,685 arona-rvc-v2 INFO [3200, 9.907920767960457e-05]
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2023-05-23 23:44:00,685 arona-rvc-v2 INFO loss_disc=3.514, loss_gen=3.803, loss_fm=15.568,loss_mel=22.586, loss_kl=1.030
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2023-05-23 23:44:11,341 arona-rvc-v2 INFO ====> Epoch: 75
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2023-05-23 23:45:27,484 arona-rvc-v2 INFO Train Epoch: 80 [7%]
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2023-05-23 23:45:27,485 arona-rvc-v2 INFO [3400, 9.901729865399597e-05]
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2023-05-23 23:45:27,485 arona-rvc-v2 INFO loss_disc=3.368, loss_gen=3.724, loss_fm=17.640,loss_mel=20.942, loss_kl=0.801
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2023-05-23 23:45:44,669 arona-rvc-v2 INFO ====> Epoch: 80
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2023-05-23 23:46:54,055 arona-rvc-v2 INFO loss_disc=3.534, loss_gen=3.601, loss_fm=15.648,loss_mel=22.581, loss_kl=0.700
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"note": "Audio grabbed from [unofficial fandom](https://bluearchive.fandom.com/wiki/Arona/Audio), trained 200 epoches.",
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2023-05-07 02:20:31,428 arona-test INFO {'train': {'log_interval': 200, 'seed': 1234, 'epochs': 20000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 4, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 12800, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'max_wav_value': 32768.0, 'sampling_rate': 40000, 'filter_length': 2048, 'hop_length': 400, 'win_length': 2048, 'n_mel_channels': 125, 'mel_fmin': 0.0, 'mel_fmax': None, 'training_files': './logs/arona-test/filelist.txt'}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 10, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'use_spectral_norm': False, 'gin_channels': 256, 'spk_embed_dim': 109}, 'model_dir': './logs/arona-test', 'experiment_dir': './logs/arona-test', 'save_every_epoch': 50, 'name': 'arona-test', 'total_epoch': 200, 'pretrainG': 'pretrained/f0G40k.pth', 'pretrainD': 'pretrained/f0D40k.pth', 'gpus': '0', 'sample_rate': '40k', 'if_f0': 1, 'if_latest': 1, 'if_cache_data_in_gpu': 0}
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2023-05-07 02:20:31,429 arona-test WARNING /root/Retrieval-based-Voice-Conversion-WebUI/train is not a git repository, therefore hash value comparison will be ignored.
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model/hoshino-test/hoshino-test.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:23378a18bc44d00a02323cac7cda96d2e437922e88b9eeb865636b2818e97530
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version https://git-lfs.github.com/spec/v1
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oid sha256:d7be4ed71cd6e2ba83a63c8102acfcfa6ee53cd1a0e275cc3f6b9b5a86570ffa
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2023-05-11 01:09:14,060 hoshino-test INFO {'train': {'log_interval': 200, 'seed': 1234, 'epochs': 20000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 4, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 12800, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'max_wav_value': 32768.0, 'sampling_rate': 40000, 'filter_length': 2048, 'hop_length': 400, 'win_length': 2048, 'n_mel_channels': 125, 'mel_fmin': 0.0, 'mel_fmax': None, 'training_files': './logs/hoshino-test/filelist.txt'}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 10, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'use_spectral_norm': False, 'gin_channels': 256, 'spk_embed_dim': 109}, 'model_dir': './logs/hoshino-test', 'experiment_dir': './logs/hoshino-test', 'save_every_epoch': 50, 'name': 'hoshino-test', 'total_epoch': 200, 'pretrainG': 'pretrained/f0G40k.pth', 'pretrainD': 'pretrained/f0D40k.pth', 'gpus': '0', 'sample_rate': '40k', 'if_f0': 1, 'if_latest': 1, 'if_cache_data_in_gpu': 0}
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2023-05-11 01:09:14,060 hoshino-test WARNING /root/Retrieval-based-Voice-Conversion-WebUI/train is not a git repository, therefore hash value comparison will be ignored.
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2023-05-11 01:09:15,704 hoshino-test INFO loaded pretrained pretrained/f0G40k.pth pretrained/f0D40k.pth
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2023-05-11 01:14:03,500 hoshino-test INFO loss_disc=2.474, loss_gen=3.053, loss_fm=13.657,loss_mel=23.315, loss_kl=1.595
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2023-05-11 01:32:42,892 hoshino-test INFO [5000, 9.824055133639235e-05]
|
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2023-05-11 01:32:42,893 hoshino-test INFO loss_disc=2.447, loss_gen=3.436, loss_fm=16.164,loss_mel=22.489, loss_kl=1.134
|
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2023-05-11 01:32:44,314 hoshino-test INFO ====> Epoch: 143
|
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2023-05-11 01:32:53,960 hoshino-test INFO ====> Epoch: 144
|
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2023-05-11 01:33:03,465 hoshino-test INFO ====> Epoch: 145
|
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2023-05-11 01:33:13,925 hoshino-test INFO ====> Epoch: 146
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2023-05-11 01:33:24,139 hoshino-test INFO ====> Epoch: 147
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2023-05-11 01:33:33,944 hoshino-test INFO ====> Epoch: 148
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2023-05-11 01:33:39,798 hoshino-test INFO Train Epoch: 149 [57%]
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2023-05-11 01:33:39,799 hoshino-test INFO [5200, 9.816689394418209e-05]
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2023-05-11 01:33:39,799 hoshino-test INFO loss_disc=2.529, loss_gen=3.184, loss_fm=12.009,loss_mel=19.457, loss_kl=0.787
|
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2023-05-11 01:33:43,963 hoshino-test INFO ====> Epoch: 149
|
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2023-05-11 01:33:53,853 hoshino-test INFO Saving model and optimizer state at epoch 150 to ./logs/hoshino-test/G_2333333.pth
|
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2023-05-11 01:33:55,511 hoshino-test INFO Saving model and optimizer state at epoch 150 to ./logs/hoshino-test/D_2333333.pth
|
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2023-05-11 01:33:57,871 hoshino-test INFO ====> Epoch: 150
|
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2023-05-11 01:34:07,572 hoshino-test INFO ====> Epoch: 151
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2023-05-11 01:34:17,225 hoshino-test INFO ====> Epoch: 152
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2023-05-11 01:34:26,740 hoshino-test INFO ====> Epoch: 153
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2023-05-11 01:34:36,976 hoshino-test INFO ====> Epoch: 154
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2023-05-11 01:34:40,116 hoshino-test INFO Train Epoch: 155 [29%]
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2023-05-11 01:34:40,117 hoshino-test INFO [5400, 9.809329177775541e-05]
|
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2023-05-11 01:34:40,117 hoshino-test INFO loss_disc=2.355, loss_gen=3.668, loss_fm=13.555,loss_mel=25.294, loss_kl=0.595
|
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2023-05-11 01:34:47,173 hoshino-test INFO ====> Epoch: 155
|
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2023-05-11 01:34:56,696 hoshino-test INFO ====> Epoch: 156
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2023-05-11 01:35:06,229 hoshino-test INFO ====> Epoch: 157
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2023-05-11 01:35:15,788 hoshino-test INFO ====> Epoch: 158
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2023-05-11 01:35:25,317 hoshino-test INFO ====> Epoch: 159
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2023-05-11 01:35:35,591 hoshino-test INFO ====> Epoch: 160
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2023-05-11 01:35:35,980 hoshino-test INFO Train Epoch: 161 [0%]
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2023-05-11 01:35:35,981 hoshino-test INFO [5600, 9.801974479570593e-05]
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2023-05-11 01:35:35,981 hoshino-test INFO loss_disc=2.264, loss_gen=3.346, loss_fm=13.475,loss_mel=22.039, loss_kl=0.872
|
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2023-05-11 01:35:45,713 hoshino-test INFO ====> Epoch: 161
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2023-05-11 01:35:55,348 hoshino-test INFO ====> Epoch: 162
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2023-05-11 01:36:05,433 hoshino-test INFO ====> Epoch: 163
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2023-05-11 01:36:15,045 hoshino-test INFO ====> Epoch: 164
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2023-05-11 01:36:24,801 hoshino-test INFO ====> Epoch: 165
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2023-05-11 01:36:32,097 hoshino-test INFO Train Epoch: 166 [71%]
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2023-05-11 01:36:32,098 hoshino-test INFO [5800, 9.795849776887939e-05]
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2023-05-11 01:36:32,098 hoshino-test INFO loss_disc=2.431, loss_gen=3.841, loss_fm=17.576,loss_mel=24.836, loss_kl=0.542
|
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2023-05-11 01:36:35,073 hoshino-test INFO ====> Epoch: 166
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2023-05-11 01:36:45,319 hoshino-test INFO ====> Epoch: 167
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2023-05-11 01:36:55,050 hoshino-test INFO ====> Epoch: 168
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2023-05-11 01:37:04,566 hoshino-test INFO ====> Epoch: 169
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2023-05-11 01:37:28,564 hoshino-test INFO Train Epoch: 172 [43%]
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2023-05-11 01:37:28,565 hoshino-test INFO [6000, 9.78850518507495e-05]
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2023-05-11 01:37:28,565 hoshino-test INFO loss_disc=2.552, loss_gen=3.378, loss_fm=16.771,loss_mel=21.109, loss_kl=0.857
|
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2023-05-11 01:37:34,185 hoshino-test INFO ====> Epoch: 172
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2023-05-11 01:37:43,808 hoshino-test INFO ====> Epoch: 173
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2023-05-11 01:37:53,662 hoshino-test INFO ====> Epoch: 174
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2023-05-11 01:38:03,446 hoshino-test INFO ====> Epoch: 175
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2023-05-11 01:38:13,005 hoshino-test INFO ====> Epoch: 176
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2023-05-11 01:38:22,551 hoshino-test INFO ====> Epoch: 177
|
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2023-05-11 01:38:24,315 hoshino-test INFO Train Epoch: 178 [14%]
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2023-05-11 01:38:24,316 hoshino-test INFO [6200, 9.781166099984716e-05]
|
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-
2023-05-11 01:38:24,316 hoshino-test INFO loss_disc=2.518, loss_gen=3.815, loss_fm=14.056,loss_mel=24.266, loss_kl=1.075
|
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-
2023-05-11 01:38:32,646 hoshino-test INFO ====> Epoch: 178
|
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2023-05-11 01:38:42,116 hoshino-test INFO ====> Epoch: 179
|
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2023-05-11 01:38:51,663 hoshino-test INFO ====> Epoch: 180
|
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2023-05-11 01:39:01,169 hoshino-test INFO ====> Epoch: 181
|
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2023-05-11 01:39:10,806 hoshino-test INFO ====> Epoch: 182
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2023-05-11 01:39:19,253 hoshino-test INFO Train Epoch: 183 [86%]
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2023-05-11 01:39:19,254 hoshino-test INFO [6400, 9.7750543992884e-05]
|
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-
2023-05-11 01:39:19,254 hoshino-test INFO loss_disc=2.377, loss_gen=3.649, loss_fm=16.825,loss_mel=23.955, loss_kl=1.013
|
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2023-05-11 01:39:20,716 hoshino-test INFO ====> Epoch: 183
|
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2023-05-11 01:39:30,555 hoshino-test INFO ====> Epoch: 184
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2023-05-11 01:39:40,003 hoshino-test INFO ====> Epoch: 185
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2023-05-11 01:39:49,535 hoshino-test INFO ====> Epoch: 186
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2023-05-11 01:39:59,246 hoshino-test INFO ====> Epoch: 187
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2023-05-11 01:40:08,970 hoshino-test INFO ====> Epoch: 188
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2023-05-11 01:40:14,733 hoshino-test INFO Train Epoch: 189 [57%]
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2023-05-11 01:40:14,734 hoshino-test INFO [6600, 9.767725399135504e-05]
|
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-
2023-05-11 01:40:14,734 hoshino-test INFO loss_disc=2.439, loss_gen=3.311, loss_fm=13.304,loss_mel=19.871, loss_kl=1.021
|
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2023-05-11 01:40:18,885 hoshino-test INFO ====> Epoch: 189
|
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2023-05-11 01:40:28,575 hoshino-test INFO ====> Epoch: 190
|
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2023-05-11 01:40:38,030 hoshino-test INFO ====> Epoch: 191
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2023-05-11 01:40:47,596 hoshino-test INFO ====> Epoch: 192
|
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2023-05-11 01:40:57,060 hoshino-test INFO ====> Epoch: 193
|
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2023-05-11 01:41:06,680 hoshino-test INFO ====> Epoch: 194
|
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2023-05-11 01:41:09,798 hoshino-test INFO Train Epoch: 195 [29%]
|
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2023-05-11 01:41:09,799 hoshino-test INFO [6800, 9.760401894015275e-05]
|
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-
2023-05-11 01:41:09,799 hoshino-test INFO loss_disc=2.481, loss_gen=3.553, loss_fm=18.067,loss_mel=25.821, loss_kl=0.548
|
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2023-05-11 01:41:16,715 hoshino-test INFO ====> Epoch: 195
|
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2023-05-11 01:41:26,201 hoshino-test INFO ====> Epoch: 196
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2023-05-11 01:41:35,682 hoshino-test INFO ====> Epoch: 197
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2023-05-11 01:41:45,222 hoshino-test INFO ====> Epoch: 198
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2023-05-11 01:41:54,693 hoshino-test INFO ====> Epoch: 199
|
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2023-05-11 01:42:04,277 hoshino-test INFO Saving model and optimizer state at epoch 200 to ./logs/hoshino-test/G_2333333.pth
|
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2023-05-11 01:42:05,932 hoshino-test INFO Saving model and optimizer state at epoch 200 to ./logs/hoshino-test/D_2333333.pth
|
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2023-05-11 01:42:08,292 hoshino-test INFO ====> Epoch: 200
|
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2023-05-11 01:42:08,292 hoshino-test INFO Training is done. The program is closed.
|
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2023-05-11 01:42:08,389 hoshino-test INFO saving final ckpt:Success.
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model/{hoshino-test β hoshino}/Hoshino.png
RENAMED
File without changes
|
model/{hoshino-test/added_IVF428_Flat_nprobe_6.index β hoshino/added_IVF797_Flat_nprobe_1_v2.index}
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:47c7920763e96699d04a3d90b2f377d6ca61d6493869957d1cedc5acd3bfae90
|
3 |
+
size 98209019
|
model/{hoshino-test β hoshino}/config.json
RENAMED
@@ -1,12 +1,11 @@
|
|
1 |
{
|
2 |
-
"model": "hoshino-
|
3 |
-
"feat_index": "
|
4 |
-
"feat_npy": "total_fea.npy",
|
5 |
"speaker_id": 0,
|
6 |
|
7 |
"name": "Takanashi Hoshino",
|
8 |
"author": "DJQmUKV",
|
9 |
"source": "Blue Archive",
|
10 |
-
"note": "Audio grabbed from unofficial wiki([1](https://bluearchive.wiki/wiki/Hoshino/audio), [2](https://bluearchive.wiki/wiki/Hoshino_(Swimsuit)/audio)), trained
|
11 |
"icon": "Hoshino.png"
|
12 |
}
|
|
|
1 |
{
|
2 |
+
"model": "hoshino-rvc-v2.pth",
|
3 |
+
"feat_index": "added_IVF797_Flat_nprobe_1_v2.index",
|
|
|
4 |
"speaker_id": 0,
|
5 |
|
6 |
"name": "Takanashi Hoshino",
|
7 |
"author": "DJQmUKV",
|
8 |
"source": "Blue Archive",
|
9 |
+
"note": "Audio grabbed from unofficial wiki([1](https://bluearchive.wiki/wiki/Hoshino/audio), [2](https://bluearchive.wiki/wiki/Hoshino_(Swimsuit)/audio)), trained 100 epoches, using V2 pretrained model.",
|
10 |
"icon": "Hoshino.png"
|
11 |
}
|
model/{arona-test/total_fea.npy β hoshino/hoshino-rvc-v2.pth}
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
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|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cf03c0b8da0d5eb582cbfc056f0dcfd875825bda5b753a19956a1648f8d7e4a8
|
3 |
+
size 55226492
|
model/hoshino/train.log
ADDED
@@ -0,0 +1,138 @@
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2023-05-15 23:26:00,312 hoshino-rvc-v2 INFO {'train': {'log_interval': 200, 'seed': 1234, 'epochs': 20000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 16, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 12800, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'max_wav_value': 32768.0, 'sampling_rate': 40000, 'filter_length': 2048, 'hop_length': 400, 'win_length': 2048, 'n_mel_channels': 125, 'mel_fmin': 0.0, 'mel_fmax': None, 'training_files': './logs/hoshino-rvc-v2/filelist.txt'}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 10, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'use_spectral_norm': False, 'gin_channels': 256, 'spk_embed_dim': 109}, 'model_dir': './logs/hoshino-rvc-v2', 'experiment_dir': './logs/hoshino-rvc-v2', 'save_every_epoch': 50, 'name': 'hoshino-rvc-v2', 'total_epoch': 100, 'pretrainG': 'pretrained_v2/f0G40k.pth', 'pretrainD': 'pretrained_v2/f0D40k.pth', 'version': 'v2', 'gpus': '0', 'sample_rate': '40k', 'if_f0': 1, 'if_latest': 1, 'save_every_weights': '0', 'if_cache_data_in_gpu': 0}
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2023-05-02 00:00:50,379 midori-test-dio INFO {'train': {'log_interval': 200, 'seed': 1234, 'epochs': 20000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 4, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 12800, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'max_wav_value': 32768.0, 'sampling_rate': 40000, 'filter_length': 2048, 'hop_length': 400, 'win_length': 2048, 'n_mel_channels': 125, 'mel_fmin': 0.0, 'mel_fmax': None, 'training_files': './logs/midori-test-dio/filelist.txt'}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 10, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'use_spectral_norm': False, 'gin_channels': 256, 'spk_embed_dim': 109}, 'model_dir': './logs/midori-test-dio', 'experiment_dir': './logs/midori-test-dio', 'save_every_epoch': 50, 'name': 'midori-test-dio', 'total_epoch': 100, 'pretrainG': 'pretrained/f0G40k.pth', 'pretrainD': 'pretrained/f0D40k.pth', 'gpus': '0', 'sample_rate': '40k', 'if_f0': 1, 'if_latest': 0, 'if_cache_data_in_gpu': 0}
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2023-05-02 00:00:50,380 midori-test-dio WARNING /root/Retrieval-based-Voice-Conversion-WebUI/train is not a git repository, therefore hash value comparison will be ignored.
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2023-05-02 00:00:52,959 midori-test-dio INFO loaded pretrained pretrained/f0G40k.pth pretrained/f0D40k.pth
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2023-05-02 00:01:00,844 midori-test-dio INFO Train Epoch: 1 [0%]
|
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2023-05-02 00:01:00,844 midori-test-dio INFO [0, 0.0001]
|
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-
2023-05-02 00:01:00,844 midori-test-dio INFO loss_disc=3.102, loss_gen=1.903, loss_fm=13.348,loss_mel=33.740, loss_kl=5.000
|
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2023-05-02 00:01:08,367 midori-test-dio INFO ====> Epoch: 1
|
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2023-05-02 00:01:13,399 midori-test-dio INFO ====> Epoch: 2
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2023-05-02 00:01:17,928 midori-test-dio INFO ====> Epoch: 3
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2023-05-02 00:01:22,451 midori-test-dio INFO ====> Epoch: 4
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2023-05-02 00:01:27,155 midori-test-dio INFO ====> Epoch: 5
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2023-05-02 00:01:31,601 midori-test-dio INFO ====> Epoch: 6
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2023-05-02 00:01:36,033 midori-test-dio INFO ====> Epoch: 7
|
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2023-05-02 00:01:40,454 midori-test-dio INFO ====> Epoch: 8
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2023-05-02 00:01:44,996 midori-test-dio INFO ====> Epoch: 9
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2023-05-02 00:01:49,581 midori-test-dio INFO ====> Epoch: 10
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2023-05-02 00:01:54,016 midori-test-dio INFO ====> Epoch: 11
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2023-05-02 00:01:57,930 midori-test-dio INFO Train Epoch: 12 [76%]
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2023-05-02 00:01:57,930 midori-test-dio INFO [200, 9.986258590528146e-05]
|
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-
2023-05-02 00:01:57,931 midori-test-dio INFO loss_disc=3.106, loss_gen=2.789, loss_fm=13.401,loss_mel=25.643, loss_kl=1.101
|
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-
2023-05-02 00:01:59,217 midori-test-dio INFO ====> Epoch: 12
|
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2023-05-02 00:02:03,882 midori-test-dio INFO ====> Epoch: 13
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2023-05-02 00:02:08,339 midori-test-dio INFO ====> Epoch: 14
|
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2023-05-02 00:02:12,840 midori-test-dio INFO ====> Epoch: 15
|
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2023-05-02 00:02:17,361 midori-test-dio INFO ====> Epoch: 16
|
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-
2023-05-02 00:02:21,766 midori-test-dio INFO ====> Epoch: 17
|
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2023-05-02 00:02:26,216 midori-test-dio INFO ====> Epoch: 18
|
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2023-05-02 00:02:30,745 midori-test-dio INFO ====> Epoch: 19
|
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2023-05-02 00:02:35,225 midori-test-dio INFO ====> Epoch: 20
|
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2023-05-02 00:02:39,354 midori-test-dio INFO ====> Epoch: 21
|
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2023-05-02 00:02:43,595 midori-test-dio INFO ====> Epoch: 22
|
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2023-05-02 00:02:47,822 midori-test-dio INFO ====> Epoch: 23
|
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-
2023-05-02 00:02:50,358 midori-test-dio INFO Train Epoch: 24 [53%]
|
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2023-05-02 00:02:50,359 midori-test-dio INFO [400, 9.971289496681757e-05]
|
35 |
-
2023-05-02 00:02:50,359 midori-test-dio INFO loss_disc=2.716, loss_gen=2.755, loss_fm=12.248,loss_mel=20.111, loss_kl=0.968
|
36 |
-
2023-05-02 00:02:52,602 midori-test-dio INFO ====> Epoch: 24
|
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2023-05-02 00:02:56,664 midori-test-dio INFO ====> Epoch: 25
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2023-05-02 00:03:00,629 midori-test-dio INFO ====> Epoch: 26
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2023-05-02 00:03:04,300 midori-test-dio INFO ====> Epoch: 27
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2023-05-02 00:03:08,622 midori-test-dio INFO ====> Epoch: 28
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2023-05-02 00:03:13,103 midori-test-dio INFO ====> Epoch: 29
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2023-05-02 00:03:17,513 midori-test-dio INFO ====> Epoch: 30
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2023-05-02 00:03:21,887 midori-test-dio INFO ====> Epoch: 31
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2023-05-02 00:03:26,282 midori-test-dio INFO ====> Epoch: 32
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2023-05-02 00:03:30,683 midori-test-dio INFO ====> Epoch: 33
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2023-05-02 00:03:35,070 midori-test-dio INFO ====> Epoch: 34
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2023-05-02 00:03:39,520 midori-test-dio INFO ====> Epoch: 35
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2023-05-02 00:03:41,139 midori-test-dio INFO Train Epoch: 36 [29%]
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2023-05-02 00:03:41,139 midori-test-dio INFO [600, 9.956342841045691e-05]
|
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-
2023-05-02 00:03:41,139 midori-test-dio INFO loss_disc=2.725, loss_gen=3.081, loss_fm=13.738,loss_mel=22.296, loss_kl=1.346
|
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-
2023-05-02 00:03:44,634 midori-test-dio INFO ====> Epoch: 36
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2023-05-02 00:03:49,112 midori-test-dio INFO ====> Epoch: 37
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2023-05-02 00:03:53,569 midori-test-dio INFO ====> Epoch: 38
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2023-05-02 00:03:57,981 midori-test-dio INFO ====> Epoch: 39
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2023-05-02 00:04:02,449 midori-test-dio INFO ====> Epoch: 40
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2023-05-02 00:04:06,923 midori-test-dio INFO ====> Epoch: 41
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2023-05-02 00:04:11,360 midori-test-dio INFO ====> Epoch: 42
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2023-05-02 00:04:15,749 midori-test-dio INFO ====> Epoch: 43
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2023-05-02 00:04:20,240 midori-test-dio INFO ====> Epoch: 44
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2023-05-02 00:04:24,763 midori-test-dio INFO ====> Epoch: 45
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2023-05-02 00:04:29,233 midori-test-dio INFO ====> Epoch: 46
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2023-05-02 00:04:33,669 midori-test-dio INFO ====> Epoch: 47
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2023-05-02 00:04:34,309 midori-test-dio INFO Train Epoch: 48 [6%]
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2023-05-02 00:04:34,309 midori-test-dio INFO [800, 9.941418589985758e-05]
|
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-
2023-05-02 00:04:34,310 midori-test-dio INFO loss_disc=2.546, loss_gen=3.349, loss_fm=15.208,loss_mel=24.478, loss_kl=1.257
|
66 |
-
2023-05-02 00:04:38,723 midori-test-dio INFO ====> Epoch: 48
|
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-
2023-05-02 00:04:43,233 midori-test-dio INFO ====> Epoch: 49
|
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-
2023-05-02 00:04:47,750 midori-test-dio INFO Saving model and optimizer state at epoch 50 to ./logs/midori-test-dio/G_850.pth
|
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-
2023-05-02 00:04:48,449 midori-test-dio INFO Saving model and optimizer state at epoch 50 to ./logs/midori-test-dio/D_850.pth
|
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-
2023-05-02 00:04:49,275 midori-test-dio INFO ====> Epoch: 50
|
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2023-05-02 00:04:53,768 midori-test-dio INFO ====> Epoch: 51
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2023-05-02 00:04:58,211 midori-test-dio INFO ====> Epoch: 52
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2023-05-02 00:05:02,658 midori-test-dio INFO ====> Epoch: 53
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2023-05-02 00:05:07,043 midori-test-dio INFO ====> Epoch: 54
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2023-05-02 00:05:11,424 midori-test-dio INFO ====> Epoch: 55
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2023-05-02 00:05:15,868 midori-test-dio INFO ====> Epoch: 56
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2023-05-02 00:05:20,307 midori-test-dio INFO ====> Epoch: 57
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2023-05-02 00:05:24,910 midori-test-dio INFO ====> Epoch: 58
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2023-05-02 00:05:28,779 midori-test-dio INFO Train Epoch: 59 [82%]
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2023-05-02 00:05:28,780 midori-test-dio INFO [1000, 9.927757679628145e-05]
|
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-
2023-05-02 00:05:28,780 midori-test-dio INFO loss_disc=2.598, loss_gen=3.186, loss_fm=12.068,loss_mel=23.229, loss_kl=1.663
|
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-
2023-05-02 00:05:29,814 midori-test-dio INFO ====> Epoch: 59
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2023-05-02 00:05:34,287 midori-test-dio INFO ====> Epoch: 60
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2023-05-02 00:05:38,762 midori-test-dio INFO ====> Epoch: 61
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2023-05-02 00:05:43,152 midori-test-dio INFO ====> Epoch: 62
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2023-05-02 00:05:47,541 midori-test-dio INFO ====> Epoch: 63
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2023-05-02 00:05:51,937 midori-test-dio INFO ====> Epoch: 64
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2023-05-02 00:05:56,425 midori-test-dio INFO ====> Epoch: 65
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2023-05-02 00:06:00,822 midori-test-dio INFO ====> Epoch: 66
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2023-05-02 00:06:05,270 midori-test-dio INFO ====> Epoch: 67
|
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2023-05-02 00:06:09,744 midori-test-dio INFO ====> Epoch: 68
|
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2023-05-02 00:06:14,347 midori-test-dio INFO ====> Epoch: 69
|
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2023-05-02 00:06:18,803 midori-test-dio INFO ====> Epoch: 70
|
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-
2023-05-02 00:06:21,762 midori-test-dio INFO Train Epoch: 71 [59%]
|
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-
2023-05-02 00:06:21,763 midori-test-dio INFO [1200, 9.912876276844171e-05]
|
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-
2023-05-02 00:06:21,763 midori-test-dio INFO loss_disc=2.422, loss_gen=3.480, loss_fm=16.892,loss_mel=23.434, loss_kl=0.267
|
97 |
-
2023-05-02 00:06:23,764 midori-test-dio INFO ====> Epoch: 71
|
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2023-05-02 00:06:28,244 midori-test-dio INFO ====> Epoch: 72
|
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2023-05-02 00:06:32,680 midori-test-dio INFO ====> Epoch: 73
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2023-05-02 00:06:37,104 midori-test-dio INFO ====> Epoch: 74
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2023-05-02 00:06:41,531 midori-test-dio INFO ====> Epoch: 75
|
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2023-05-02 00:06:46,035 midori-test-dio INFO ====> Epoch: 76
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2023-05-02 00:06:50,515 midori-test-dio INFO ====> Epoch: 77
|
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2023-05-02 00:06:54,854 midori-test-dio INFO ====> Epoch: 78
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2023-05-02 00:06:59,438 midori-test-dio INFO ====> Epoch: 79
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2023-05-02 00:07:03,880 midori-test-dio INFO ====> Epoch: 80
|
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2023-05-02 00:07:08,175 midori-test-dio INFO ====> Epoch: 81
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2023-05-02 00:07:12,316 midori-test-dio INFO ====> Epoch: 82
|
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2023-05-02 00:07:14,093 midori-test-dio INFO Train Epoch: 83 [35%]
|
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2023-05-02 00:07:14,094 midori-test-dio INFO [1400, 9.89801718082432e-05]
|
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2023-05-02 00:07:14,094 midori-test-dio INFO loss_disc=2.702, loss_gen=3.011, loss_fm=11.645,loss_mel=18.815, loss_kl=0.942
|
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2023-05-02 00:07:16,958 midori-test-dio INFO ====> Epoch: 83
|
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2023-05-02 00:07:20,732 midori-test-dio INFO ====> Epoch: 84
|
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2023-05-02 00:07:24,635 midori-test-dio INFO ====> Epoch: 85
|
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2023-05-02 00:07:28,221 midori-test-dio INFO ====> Epoch: 86
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2023-05-02 00:07:32,222 midori-test-dio INFO ====> Epoch: 87
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2023-05-02 00:07:36,407 midori-test-dio INFO ====> Epoch: 88
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2023-05-02 00:07:40,983 midori-test-dio INFO ====> Epoch: 89
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2023-05-02 00:07:45,364 midori-test-dio INFO ====> Epoch: 90
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2023-05-02 00:07:49,689 midori-test-dio INFO ====> Epoch: 91
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2023-05-02 00:07:54,085 midori-test-dio INFO ====> Epoch: 92
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2023-05-02 00:07:58,440 midori-test-dio INFO ====> Epoch: 93
|
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2023-05-02 00:08:02,877 midori-test-dio INFO ====> Epoch: 94
|
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2023-05-02 00:08:03,752 midori-test-dio INFO Train Epoch: 95 [12%]
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2023-05-02 00:08:03,752 midori-test-dio INFO [1600, 9.883180358131438e-05]
|
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2023-05-02 00:08:03,753 midori-test-dio INFO loss_disc=2.563, loss_gen=3.330, loss_fm=15.240,loss_mel=23.882, loss_kl=1.005
|
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2023-05-02 00:08:07,750 midori-test-dio INFO ====> Epoch: 95
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2023-05-02 00:08:12,134 midori-test-dio INFO ====> Epoch: 96
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2023-05-02 00:08:16,553 midori-test-dio INFO ====> Epoch: 97
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2023-05-02 00:08:21,037 midori-test-dio INFO ====> Epoch: 98
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2023-05-02 00:08:25,553 midori-test-dio INFO ====> Epoch: 99
|
132 |
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2023-05-02 00:08:29,991 midori-test-dio INFO Saving model and optimizer state at epoch 100 to ./logs/midori-test-dio/G_1700.pth
|
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2023-05-02 00:08:30,779 midori-test-dio INFO Saving model and optimizer state at epoch 100 to ./logs/midori-test-dio/D_1700.pth
|
134 |
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2023-05-02 00:08:31,581 midori-test-dio INFO ====> Epoch: 100
|
135 |
-
2023-05-02 00:08:31,581 midori-test-dio INFO Training is done. The program is closed.
|
136 |
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2023-05-02 00:08:31,693 midori-test-dio INFO saving final ckpt:Success.
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model/{midori-test-dio β midori}/Midori.png
RENAMED
File without changes
|
model/midori/added_IVF404_Flat_nprobe_1_v2.index
ADDED
@@ -0,0 +1,3 @@
|
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1 |
+
version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:188b632102d4b5ea6c628a0071bfee8ac634c15e87ca8a53455662ce5f7ae120
|
3 |
+
size 49865339
|
model/{midori-test-dio β midori}/config.json
RENAMED
@@ -1,11 +1,11 @@
|
|
1 |
{
|
2 |
-
"model": "midori-
|
3 |
-
"feat_index": "
|
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-
"
|
5 |
|
6 |
"name": "Saiba Midori",
|
7 |
"author": "DJQmUKV",
|
8 |
"source": "Blue Archive",
|
9 |
-
"note": "[Audio grabbed from unofficial wiki](https://bluearchive.wiki/wiki/Midori/audio), trained
|
10 |
"icon": "Midori.png"
|
11 |
}
|
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|
1 |
{
|
2 |
+
"model": "midori-rvc-v2.pth",
|
3 |
+
"feat_index": "added_IVF404_Flat_nprobe_1_v2.index",
|
4 |
+
"speaker_id": 0,
|
5 |
|
6 |
"name": "Saiba Midori",
|
7 |
"author": "DJQmUKV",
|
8 |
"source": "Blue Archive",
|
9 |
+
"note": "[Audio grabbed from unofficial wiki](https://bluearchive.wiki/wiki/Midori/audio), trained 150 epoches, using V2 pretrained model.",
|
10 |
"icon": "Midori.png"
|
11 |
}
|
model/midori/midori-rvc-v2.pth
ADDED
@@ -0,0 +1,3 @@
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:26e3ce77f0564a9eabd29b39f05bef7599626aa0190bc3bc7323162786ff3fbe
|
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+
size 55226033
|
model/midori/train.log
ADDED
@@ -0,0 +1,187 @@
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2023-05-16 22:03:41,088 midori-rvc-v2 INFO {'train': {'log_interval': 200, 'seed': 1234, 'epochs': 20000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 16, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 12800, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'max_wav_value': 32768.0, 'sampling_rate': 40000, 'filter_length': 2048, 'hop_length': 400, 'win_length': 2048, 'n_mel_channels': 125, 'mel_fmin': 0.0, 'mel_fmax': None, 'training_files': './logs/midori-rvc-v2/filelist.txt'}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 10, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'use_spectral_norm': False, 'gin_channels': 256, 'spk_embed_dim': 109}, 'model_dir': './logs/midori-rvc-v2', 'experiment_dir': './logs/midori-rvc-v2', 'save_every_epoch': 50, 'name': 'midori-rvc-v2', 'total_epoch': 150, 'pretrainG': 'pretrained_v2/f0G40k.pth', 'pretrainD': 'pretrained_v2/f0D40k.pth', 'version': 'v2', 'gpus': '0', 'sample_rate': '40k', 'if_f0': 1, 'if_latest': 1, 'save_every_weights': '0', 'if_cache_data_in_gpu': 0}
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2023-05-16 22:03:42,752 midori-rvc-v2 INFO loaded pretrained pretrained_v2/f0G40k.pth pretrained_v2/f0D40k.pth
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2023-05-16 22:03:49,819 midori-rvc-v2 INFO Train Epoch: 1 [0%]
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2023-05-16 22:03:49,819 midori-rvc-v2 INFO [0, 0.0001]
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2023-05-16 22:03:49,819 midori-rvc-v2 INFO loss_disc=4.279, loss_gen=2.788, loss_fm=13.148,loss_mel=34.442, loss_kl=9.000
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2023-05-16 22:03:56,601 midori-rvc-v2 INFO ====> Epoch: 1
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2023-05-16 22:04:28,195 midori-rvc-v2 INFO ====> Epoch: 7
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2023-05-16 22:04:38,363 midori-rvc-v2 INFO ====> Epoch: 9
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2023-05-16 22:04:48,551 midori-rvc-v2 INFO ====> Epoch: 11
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2023-05-16 22:04:58,832 midori-rvc-v2 INFO ====> Epoch: 13
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2023-05-16 22:05:03,968 midori-rvc-v2 INFO ====> Epoch: 14
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2023-05-16 22:05:09,122 midori-rvc-v2 INFO ====> Epoch: 15
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2023-05-16 22:05:14,229 midori-rvc-v2 INFO ====> Epoch: 16
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2023-05-16 22:05:18,133 midori-rvc-v2 INFO Train Epoch: 17 [67%]
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2023-05-16 22:05:18,134 midori-rvc-v2 INFO [200, 9.980018739066937e-05]
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2023-05-16 22:05:18,134 midori-rvc-v2 INFO loss_disc=3.990, loss_gen=3.025, loss_fm=11.435,loss_mel=21.233, loss_kl=1.450
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2023-05-16 22:05:19,923 midori-rvc-v2 INFO ====> Epoch: 17
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2023-05-16 22:06:31,412 midori-rvc-v2 INFO ====> Epoch: 31
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2023-05-16 22:06:36,622 midori-rvc-v2 INFO ====> Epoch: 32
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2023-05-16 22:06:41,721 midori-rvc-v2 INFO ====> Epoch: 33
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2023-05-16 22:06:43,898 midori-rvc-v2 INFO Train Epoch: 34 [33%]
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2023-05-16 22:06:43,899 midori-rvc-v2 INFO [400, 9.95883239353732e-05]
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2023-05-16 22:06:43,899 midori-rvc-v2 INFO loss_disc=3.722, loss_gen=3.839, loss_fm=15.287,loss_mel=24.253, loss_kl=1.245
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2023-05-16 22:06:47,361 midori-rvc-v2 INFO ====> Epoch: 34
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2023-05-16 22:07:59,270 midori-rvc-v2 INFO ====> Epoch: 48
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2023-05-16 22:08:04,344 midori-rvc-v2 INFO ====> Epoch: 49
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2023-05-16 22:08:09,609 midori-rvc-v2 INFO Saving model and optimizer state at epoch 50 to ./logs/midori-rvc-v2/G_2333333.pth
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2023-05-16 22:08:10,173 midori-rvc-v2 INFO Saving model and optimizer state at epoch 50 to ./logs/midori-rvc-v2/D_2333333.pth
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2023-05-16 22:08:11,095 midori-rvc-v2 INFO ====> Epoch: 50
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2023-05-16 22:08:11,629 midori-rvc-v2 INFO Train Epoch: 51 [0%]
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2023-05-16 22:08:11,630 midori-rvc-v2 INFO [600, 9.937691023999092e-05]
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2023-05-16 22:08:11,630 midori-rvc-v2 INFO loss_disc=3.838, loss_gen=3.104, loss_fm=13.830,loss_mel=19.631, loss_kl=0.700
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2023-05-16 22:08:16,563 midori-rvc-v2 INFO ====> Epoch: 51
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2023-05-16 22:09:38,265 midori-rvc-v2 INFO Train Epoch: 67 [67%]
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2023-05-16 22:09:38,266 midori-rvc-v2 INFO [800, 9.917834264256819e-05]
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2023-05-16 22:09:38,266 midori-rvc-v2 INFO loss_disc=3.516, loss_gen=3.605, loss_fm=12.210,loss_mel=19.249, loss_kl=1.009
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2023-05-16 22:09:39,892 midori-rvc-v2 INFO ====> Epoch: 67
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2023-05-16 22:11:04,582 midori-rvc-v2 INFO loss_disc=3.795, loss_gen=3.282, loss_fm=12.988,loss_mel=19.557, loss_kl=0.798
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2023-05-16 22:12:30,251 midori-rvc-v2 INFO Saving model and optimizer state at epoch 100 to ./logs/midori-rvc-v2/G_2333333.pth
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2023-05-16 22:12:31,882 midori-rvc-v2 INFO Saving model and optimizer state at epoch 100 to ./logs/midori-rvc-v2/D_2333333.pth
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2023-05-16 22:12:34,893 midori-rvc-v2 INFO ====> Epoch: 100
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2023-05-16 22:12:35,558 midori-rvc-v2 INFO loss_disc=3.574, loss_gen=4.095, loss_fm=17.371,loss_mel=22.282, loss_kl=0.610
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2023-05-16 22:14:01,729 midori-rvc-v2 INFO Train Epoch: 117 [67%]
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2023-05-16 22:14:01,729 midori-rvc-v2 INFO [1400, 9.85603725454156e-05]
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2023-05-16 22:14:01,730 midori-rvc-v2 INFO loss_disc=3.418, loss_gen=3.950, loss_fm=19.222,loss_mel=22.157, loss_kl=0.956
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2023-05-02 00:41:55,744 momoi-test-dio INFO {'train': {'log_interval': 200, 'seed': 1234, 'epochs': 20000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 4, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 12800, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'max_wav_value': 32768.0, 'sampling_rate': 40000, 'filter_length': 2048, 'hop_length': 400, 'win_length': 2048, 'n_mel_channels': 125, 'mel_fmin': 0.0, 'mel_fmax': None, 'training_files': './logs/momoi-test-dio/filelist.txt'}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 10, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'use_spectral_norm': False, 'gin_channels': 256, 'spk_embed_dim': 109}, 'model_dir': './logs/momoi-test-dio', 'experiment_dir': './logs/momoi-test-dio', 'save_every_epoch': 50, 'name': 'momoi-test-dio', 'total_epoch': 100, 'pretrainG': 'pretrained/f0G40k.pth', 'pretrainD': 'pretrained/f0D40k.pth', 'gpus': '0', 'sample_rate': '40k', 'if_f0': 1, 'if_latest': 0, 'if_cache_data_in_gpu': 0}
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2023-05-02 00:50:58,096 momoi-test-dio INFO ====> Epoch: 100
|
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2023-05-02 00:50:58,096 momoi-test-dio INFO Training is done. The program is closed.
|
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2023-05-02 00:50:58,209 momoi-test-dio INFO saving final ckpt:Success.
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model/{momoi-test-dio β momoi}/Momoi.png
RENAMED
File without changes
|
model/momoi/added_IVF386_Flat_nprobe_1_v2.index
ADDED
@@ -0,0 +1,3 @@
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1a90bee353f3aacb4a046b128f87b1a13f6c8a5a3e49d7f3ac52f5c419aa87c6
|
3 |
+
size 47626179
|
model/{momoi-test-dio β momoi}/config.json
RENAMED
@@ -1,11 +1,11 @@
|
|
1 |
{
|
2 |
-
"model": "momoi-
|
3 |
-
"feat_index": "
|
4 |
-
"
|
5 |
|
6 |
"name": "Saiba Momoi",
|
7 |
"author": "DJQmUKV",
|
8 |
"source": "Blue Archive",
|
9 |
-
"note": "[Audio grabbed from unofficial wiki](https://bluearchive.wiki/wiki/Momoi/audio), trained
|
10 |
"icon": "Momoi.png"
|
11 |
}
|
|
|
1 |
{
|
2 |
+
"model": "momoi-rvc-v2.pth",
|
3 |
+
"feat_index": "added_IVF386_Flat_nprobe_1_v2.index",
|
4 |
+
"speaker_id": 0,
|
5 |
|
6 |
"name": "Saiba Momoi",
|
7 |
"author": "DJQmUKV",
|
8 |
"source": "Blue Archive",
|
9 |
+
"note": "[Audio grabbed from unofficial wiki](https://bluearchive.wiki/wiki/Momoi/audio), trained 150 epoches, using V2 pretrained model.",
|
10 |
"icon": "Momoi.png"
|
11 |
}
|
model/momoi/momoi-rvc-v2.pth
ADDED
@@ -0,0 +1,3 @@
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:bdbb70f01c2c65e5545d8b2be01c8f1fee47755c5682e58626630ab91d948abf
|
3 |
+
size 55225574
|
model/momoi/train.log
ADDED
@@ -0,0 +1,184 @@
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|
1 |
+
2023-05-16 21:32:54,902 momoi-rvc-v2 INFO {'train': {'log_interval': 200, 'seed': 1234, 'epochs': 20000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 16, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 12800, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'max_wav_value': 32768.0, 'sampling_rate': 40000, 'filter_length': 2048, 'hop_length': 400, 'win_length': 2048, 'n_mel_channels': 125, 'mel_fmin': 0.0, 'mel_fmax': None, 'training_files': './logs/momoi-rvc-v2/filelist.txt'}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 10, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'use_spectral_norm': False, 'gin_channels': 256, 'spk_embed_dim': 109}, 'model_dir': './logs/momoi-rvc-v2', 'experiment_dir': './logs/momoi-rvc-v2', 'save_every_epoch': 50, 'name': 'momoi-rvc-v2', 'total_epoch': 150, 'pretrainG': 'pretrained_v2/f0G40k.pth', 'pretrainD': 'pretrained_v2/f0D40k.pth', 'version': 'v2', 'gpus': '0', 'sample_rate': '40k', 'if_f0': 1, 'if_latest': 1, 'save_every_weights': '0', 'if_cache_data_in_gpu': 0}
|
2 |
+
2023-05-16 21:32:56,622 momoi-rvc-v2 INFO loaded pretrained pretrained_v2/f0G40k.pth pretrained_v2/f0D40k.pth
|
3 |
+
2023-05-16 21:33:03,424 momoi-rvc-v2 INFO Train Epoch: 1 [0%]
|
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+
2023-05-16 21:33:03,424 momoi-rvc-v2 INFO [0, 0.0001]
|
5 |
+
2023-05-16 21:33:03,425 momoi-rvc-v2 INFO loss_disc=4.507, loss_gen=2.451, loss_fm=18.496,loss_mel=38.734, loss_kl=9.000
|
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+
2023-05-16 21:33:09,746 momoi-rvc-v2 INFO ====> Epoch: 1
|
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+
2023-05-16 21:33:14,095 momoi-rvc-v2 INFO ====> Epoch: 2
|
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+
2023-05-16 21:33:18,512 momoi-rvc-v2 INFO ====> Epoch: 3
|
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+
2023-05-16 21:33:22,753 momoi-rvc-v2 INFO ====> Epoch: 4
|
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+
2023-05-16 21:33:26,959 momoi-rvc-v2 INFO ====> Epoch: 5
|
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+
2023-05-16 21:33:31,270 momoi-rvc-v2 INFO ====> Epoch: 6
|
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+
2023-05-16 21:33:35,454 momoi-rvc-v2 INFO ====> Epoch: 7
|
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+
2023-05-16 21:33:39,737 momoi-rvc-v2 INFO ====> Epoch: 8
|
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+
2023-05-16 21:33:43,905 momoi-rvc-v2 INFO ====> Epoch: 9
|
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+
2023-05-16 21:33:48,200 momoi-rvc-v2 INFO ====> Epoch: 10
|
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+
2023-05-16 21:33:52,474 momoi-rvc-v2 INFO ====> Epoch: 11
|
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2023-05-16 21:33:56,748 momoi-rvc-v2 INFO ====> Epoch: 12
|
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+
2023-05-16 21:34:01,062 momoi-rvc-v2 INFO ====> Epoch: 13
|
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+
2023-05-16 21:34:05,267 momoi-rvc-v2 INFO ====> Epoch: 14
|
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+
2023-05-16 21:34:09,552 momoi-rvc-v2 INFO ====> Epoch: 15
|
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+
2023-05-16 21:34:13,910 momoi-rvc-v2 INFO ====> Epoch: 16
|
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+
2023-05-16 21:34:18,102 momoi-rvc-v2 INFO ====> Epoch: 17
|
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+
2023-05-16 21:34:22,444 momoi-rvc-v2 INFO ====> Epoch: 18
|
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+
2023-05-16 21:34:26,752 momoi-rvc-v2 INFO ====> Epoch: 19
|
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+
2023-05-16 21:34:31,054 momoi-rvc-v2 INFO ====> Epoch: 20
|
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+
2023-05-16 21:34:31,674 momoi-rvc-v2 INFO Train Epoch: 21 [0%]
|
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+
2023-05-16 21:34:31,675 momoi-rvc-v2 INFO [200, 9.975029665246193e-05]
|
28 |
+
2023-05-16 21:34:31,675 momoi-rvc-v2 INFO loss_disc=3.787, loss_gen=3.528, loss_fm=16.181,loss_mel=25.625, loss_kl=1.670
|
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+
2023-05-16 21:34:35,915 momoi-rvc-v2 INFO ====> Epoch: 21
|
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+
2023-05-16 21:34:40,132 momoi-rvc-v2 INFO ====> Epoch: 22
|
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2023-05-16 21:34:44,348 momoi-rvc-v2 INFO ====> Epoch: 23
|
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2023-05-16 21:34:48,636 momoi-rvc-v2 INFO ====> Epoch: 24
|
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2023-05-16 21:34:52,960 momoi-rvc-v2 INFO ====> Epoch: 25
|
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2023-05-16 21:34:57,229 momoi-rvc-v2 INFO ====> Epoch: 26
|
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2023-05-16 21:35:01,582 momoi-rvc-v2 INFO ====> Epoch: 27
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2023-05-16 21:35:05,890 momoi-rvc-v2 INFO ====> Epoch: 28
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2023-05-16 21:35:10,146 momoi-rvc-v2 INFO ====> Epoch: 29
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2023-05-16 21:35:14,416 momoi-rvc-v2 INFO ====> Epoch: 30
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2023-05-16 21:35:18,709 momoi-rvc-v2 INFO ====> Epoch: 31
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2023-05-16 21:35:22,974 momoi-rvc-v2 INFO ====> Epoch: 32
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2023-05-16 21:35:27,321 momoi-rvc-v2 INFO ====> Epoch: 33
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2023-05-16 21:35:31,528 momoi-rvc-v2 INFO ====> Epoch: 34
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2023-05-16 21:35:35,780 momoi-rvc-v2 INFO ====> Epoch: 35
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2023-05-16 21:35:40,038 momoi-rvc-v2 INFO ====> Epoch: 36
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2023-05-16 21:35:44,381 momoi-rvc-v2 INFO ====> Epoch: 37
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2023-05-16 21:35:48,614 momoi-rvc-v2 INFO ====> Epoch: 38
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2023-05-16 21:35:52,916 momoi-rvc-v2 INFO ====> Epoch: 39
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2023-05-16 21:35:57,175 momoi-rvc-v2 INFO ====> Epoch: 40
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+
2023-05-16 21:35:57,663 momoi-rvc-v2 INFO Train Epoch: 41 [0%]
|
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+
2023-05-16 21:35:57,664 momoi-rvc-v2 INFO [400, 9.950121682254156e-05]
|
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+
2023-05-16 21:35:57,664 momoi-rvc-v2 INFO loss_disc=3.501, loss_gen=3.303, loss_fm=13.917,loss_mel=21.570, loss_kl=1.179
|
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+
2023-05-16 21:36:01,909 momoi-rvc-v2 INFO ====> Epoch: 41
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2023-05-16 21:36:06,234 momoi-rvc-v2 INFO ====> Epoch: 42
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2023-05-16 21:36:10,413 momoi-rvc-v2 INFO ====> Epoch: 43
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2023-05-16 21:36:14,726 momoi-rvc-v2 INFO ====> Epoch: 44
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2023-05-16 21:36:18,939 momoi-rvc-v2 INFO ====> Epoch: 45
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2023-05-16 21:36:23,317 momoi-rvc-v2 INFO ====> Epoch: 46
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2023-05-16 21:36:27,568 momoi-rvc-v2 INFO ====> Epoch: 47
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2023-05-16 21:36:31,907 momoi-rvc-v2 INFO ====> Epoch: 48
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2023-05-16 21:36:36,255 momoi-rvc-v2 INFO ====> Epoch: 49
|
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2023-05-16 21:36:40,557 momoi-rvc-v2 INFO Saving model and optimizer state at epoch 50 to ./logs/momoi-rvc-v2/G_2333333.pth
|
62 |
+
2023-05-16 21:36:41,155 momoi-rvc-v2 INFO Saving model and optimizer state at epoch 50 to ./logs/momoi-rvc-v2/D_2333333.pth
|
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2023-05-16 21:36:42,177 momoi-rvc-v2 INFO ====> Epoch: 50
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2023-05-16 21:36:46,553 momoi-rvc-v2 INFO ====> Epoch: 51
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2023-05-16 21:37:26,368 momoi-rvc-v2 INFO [600, 9.92527589532945e-05]
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2023-05-16 21:37:26,368 momoi-rvc-v2 INFO loss_disc=3.425, loss_gen=4.057, loss_fm=18.348,loss_mel=25.872, loss_kl=0.776
|
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2023-05-16 21:37:30,530 momoi-rvc-v2 INFO ====> Epoch: 61
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2023-05-16 21:38:48,638 momoi-rvc-v2 INFO ====> Epoch: 79
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2023-05-16 21:38:52,998 momoi-rvc-v2 INFO ====> Epoch: 80
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2023-05-16 21:38:53,483 momoi-rvc-v2 INFO Train Epoch: 81 [0%]
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2023-05-16 21:38:53,484 momoi-rvc-v2 INFO [800, 9.900492149166423e-05]
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2023-05-16 21:38:53,484 momoi-rvc-v2 INFO loss_disc=3.498, loss_gen=3.233, loss_fm=12.517,loss_mel=18.694, loss_kl=0.367
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2023-05-16 21:38:57,603 momoi-rvc-v2 INFO ====> Epoch: 81
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2023-05-16 21:39:19,517 momoi-rvc-v2 INFO ====> Epoch: 86
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2023-05-16 21:39:32,535 momoi-rvc-v2 INFO ====> Epoch: 89
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2023-05-16 21:40:22,160 momoi-rvc-v2 INFO Saving model and optimizer state at epoch 100 to ./logs/momoi-rvc-v2/D_2333333.pth
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2023-05-16 21:40:25,372 momoi-rvc-v2 INFO ====> Epoch: 100
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2023-05-16 21:40:26,017 momoi-rvc-v2 INFO loss_disc=3.610, loss_gen=3.999, loss_fm=16.425,loss_mel=23.287, loss_kl=0.913
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2023-05-16 21:40:30,189 momoi-rvc-v2 INFO ====> Epoch: 101
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2023-05-16 21:41:53,892 momoi-rvc-v2 INFO loss_disc=3.387, loss_gen=3.451, loss_fm=19.799,loss_mel=24.706, loss_kl=0.766
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2023-05-16 21:43:21,393 momoi-rvc-v2 INFO Train Epoch: 141 [0%]
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2023-05-16 21:44:09,428 momoi-rvc-v2 INFO ====> Epoch: 150
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2023-05-16 21:44:09,429 momoi-rvc-v2 INFO Training is done. The program is closed.
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2023-05-16 21:44:09,540 momoi-rvc-v2 INFO saving final ckpt:Success.
|
model/noa/Noa.png
ADDED
![]() |
model/noa/added_IVF811_Flat_nprobe_1_v2.index
ADDED
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:67d5e6655b4bcf1c4d147e7904ec9cf3ed5351a55ffbdf0ca0049dafcf0f1696
|
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size 99970779
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model/noa/config.json
ADDED
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{
|
2 |
+
"model": "noa-rvc-v2.pth",
|
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+
"feat_index": "added_IVF811_Flat_nprobe_1_v2.index",
|
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+
"speaker_id": 0,
|
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+
|
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+
"name": "Ushio Noa",
|
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+
"author": "DJQmUKV",
|
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+
"source": "Blue Archive",
|
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+
"note": "Audio grabbed from [unofficial wiki](https://bluearchive.wiki/wiki/Noa/audio), plus [shorts from official JP YouTube](https://www.youtube.com/playlist?list=PLYq4yLvct07nrKLfAWL1FtwHCbsUpL9W_), trained 200 epoches, using V2 pretrained model.",
|
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+
"icon": "Noa.png"
|
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}
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model/noa/noa-rvc-v2.pth
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:6422cf68d15ec6aa12b3f60da42d05f7f54d29a2e2a95a383dd1e168dfd20c36
|
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size 55224656
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model/noa/train.log
ADDED
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+
2023-05-17 00:58:08,236 noa-rvc-v2 INFO {'train': {'log_interval': 200, 'seed': 1234, 'epochs': 20000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 16, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 12800, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'max_wav_value': 32768.0, 'sampling_rate': 40000, 'filter_length': 2048, 'hop_length': 400, 'win_length': 2048, 'n_mel_channels': 125, 'mel_fmin': 0.0, 'mel_fmax': None, 'training_files': './logs/noa-rvc-v2/filelist.txt'}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 10, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'use_spectral_norm': False, 'gin_channels': 256, 'spk_embed_dim': 109}, 'model_dir': './logs/noa-rvc-v2', 'experiment_dir': './logs/noa-rvc-v2', 'save_every_epoch': 50, 'name': 'noa-rvc-v2', 'total_epoch': 200, 'pretrainG': 'pretrained_v2/f0G40k.pth', 'pretrainD': 'pretrained_v2/f0D40k.pth', 'version': 'v2', 'gpus': '0', 'sample_rate': '40k', 'if_f0': 1, 'if_latest': 1, 'save_every_weights': '0', 'if_cache_data_in_gpu': 0}
|
2 |
+
2023-05-17 00:58:09,910 noa-rvc-v2 INFO loaded pretrained pretrained_v2/f0G40k.pth pretrained_v2/f0D40k.pth
|
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+
2023-05-17 00:58:16,922 noa-rvc-v2 INFO Train Epoch: 1 [0%]
|
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+
2023-05-17 00:58:16,923 noa-rvc-v2 INFO [0, 0.0001]
|
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+
2023-05-17 00:58:16,923 noa-rvc-v2 INFO loss_disc=4.220, loss_gen=2.565, loss_fm=15.372,loss_mel=35.080, loss_kl=9.000
|
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+
2023-05-17 00:58:27,315 noa-rvc-v2 INFO ====> Epoch: 1
|
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+
2023-05-17 00:58:35,469 noa-rvc-v2 INFO ====> Epoch: 2
|
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2023-05-17 00:58:43,504 noa-rvc-v2 INFO ====> Epoch: 3
|
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2023-05-17 00:58:51,480 noa-rvc-v2 INFO ====> Epoch: 4
|
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+
2023-05-17 00:58:59,802 noa-rvc-v2 INFO ====> Epoch: 5
|
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+
2023-05-17 00:59:08,186 noa-rvc-v2 INFO ====> Epoch: 6
|
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+
2023-05-17 00:59:16,355 noa-rvc-v2 INFO ====> Epoch: 7
|
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+
2023-05-17 00:59:24,529 noa-rvc-v2 INFO ====> Epoch: 8
|
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2023-05-17 00:59:32,715 noa-rvc-v2 INFO ====> Epoch: 9
|
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2023-05-17 00:59:40,921 noa-rvc-v2 INFO ====> Epoch: 10
|
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+
2023-05-17 00:59:45,754 noa-rvc-v2 INFO Train Epoch: 11 [53%]
|
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2023-05-17 00:59:45,754 noa-rvc-v2 INFO [200, 9.987507028906759e-05]
|
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+
2023-05-17 00:59:45,755 noa-rvc-v2 INFO loss_disc=4.033, loss_gen=3.296, loss_fm=11.765,loss_mel=23.489, loss_kl=1.969
|
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+
2023-05-17 00:59:49,837 noa-rvc-v2 INFO ====> Epoch: 11
|
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2023-05-17 00:59:58,021 noa-rvc-v2 INFO ====> Epoch: 12
|
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+
2023-05-17 01:00:06,161 noa-rvc-v2 INFO ====> Epoch: 13
|
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2023-05-17 01:00:14,247 noa-rvc-v2 INFO ====> Epoch: 14
|
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2023-05-17 01:00:22,356 noa-rvc-v2 INFO ====> Epoch: 15
|
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+
2023-05-17 01:00:30,389 noa-rvc-v2 INFO ====> Epoch: 16
|
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2023-05-17 01:00:38,700 noa-rvc-v2 INFO ====> Epoch: 17
|
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2023-05-17 01:00:46,870 noa-rvc-v2 INFO ====> Epoch: 18
|
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+
2023-05-17 01:00:54,956 noa-rvc-v2 INFO ====> Epoch: 19
|
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+
2023-05-17 01:01:03,343 noa-rvc-v2 INFO ====> Epoch: 20
|
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2023-05-17 01:01:11,452 noa-rvc-v2 INFO ====> Epoch: 21
|
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+
2023-05-17 01:01:12,509 noa-rvc-v2 INFO Train Epoch: 22 [5%]
|
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2023-05-17 01:01:12,509 noa-rvc-v2 INFO [400, 9.973782786538036e-05]
|
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+
2023-05-17 01:01:12,510 noa-rvc-v2 INFO loss_disc=3.987, loss_gen=3.093, loss_fm=10.391,loss_mel=19.066, loss_kl=1.265
|
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+
2023-05-17 01:01:20,267 noa-rvc-v2 INFO ====> Epoch: 22
|
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2023-05-17 01:01:28,299 noa-rvc-v2 INFO ====> Epoch: 23
|
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2023-05-17 01:01:36,352 noa-rvc-v2 INFO ====> Epoch: 24
|
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2023-05-17 01:01:44,446 noa-rvc-v2 INFO ====> Epoch: 25
|
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2023-05-17 01:01:52,736 noa-rvc-v2 INFO ====> Epoch: 26
|
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2023-05-17 01:02:00,798 noa-rvc-v2 INFO ====> Epoch: 27
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2023-05-17 01:02:08,856 noa-rvc-v2 INFO ====> Epoch: 28
|
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2023-05-17 01:02:16,930 noa-rvc-v2 INFO ====> Epoch: 29
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2023-05-17 01:04:04,607 noa-rvc-v2 INFO loss_disc=3.831, loss_gen=3.345, loss_fm=12.771,loss_mel=21.954, loss_kl=1.418
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2023-05-17 01:06:57,921 noa-rvc-v2 INFO loss_disc=3.807, loss_gen=3.526, loss_fm=13.008,loss_mel=20.832, loss_kl=0.917
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2023-05-17 01:08:23,655 noa-rvc-v2 INFO loss_disc=3.810, loss_gen=3.478, loss_fm=15.455,loss_mel=23.442, loss_kl=1.308
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2023-05-17 01:09:49,882 noa-rvc-v2 INFO loss_disc=3.716, loss_gen=3.509, loss_fm=16.057,loss_mel=22.115, loss_kl=0.798
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2023-05-17 01:11:15,922 noa-rvc-v2 INFO loss_disc=3.680, loss_gen=3.777, loss_fm=14.249,loss_mel=22.029, loss_kl=1.136
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2023-05-17 01:21:15,613 noa-rvc-v2 INFO ====> Epoch: 167
|
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2023-05-17 01:21:23,809 noa-rvc-v2 INFO ====> Epoch: 168
|
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2023-05-17 01:21:27,841 noa-rvc-v2 INFO Train Epoch: 169 [42%]
|
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2023-05-17 01:21:27,842 noa-rvc-v2 INFO [3200, 9.792176792382932e-05]
|
227 |
+
2023-05-17 01:21:27,842 noa-rvc-v2 INFO loss_disc=3.638, loss_gen=3.668, loss_fm=14.514,loss_mel=18.717, loss_kl=0.683
|
228 |
+
2023-05-17 01:21:32,398 noa-rvc-v2 INFO ====> Epoch: 169
|
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2023-05-17 01:21:40,485 noa-rvc-v2 INFO ====> Epoch: 170
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2023-05-17 01:21:48,552 noa-rvc-v2 INFO ====> Epoch: 171
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2023-05-17 01:21:56,651 noa-rvc-v2 INFO ====> Epoch: 172
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2023-05-17 01:22:04,732 noa-rvc-v2 INFO ====> Epoch: 173
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2023-05-17 01:22:12,873 noa-rvc-v2 INFO ====> Epoch: 174
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2023-05-17 01:22:20,916 noa-rvc-v2 INFO ====> Epoch: 175
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2023-05-17 01:22:29,068 noa-rvc-v2 INFO ====> Epoch: 176
|
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2023-05-17 01:22:37,230 noa-rvc-v2 INFO ====> Epoch: 177
|
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2023-05-17 01:22:45,450 noa-rvc-v2 INFO ====> Epoch: 178
|
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2023-05-17 01:22:53,568 noa-rvc-v2 INFO Train Epoch: 179 [95%]
|
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2023-05-17 01:22:53,568 noa-rvc-v2 INFO [3400, 9.779943454222217e-05]
|
240 |
+
2023-05-17 01:22:53,569 noa-rvc-v2 INFO loss_disc=3.819, loss_gen=3.421, loss_fm=11.263,loss_mel=18.860, loss_kl=0.933
|
241 |
+
2023-05-17 01:22:53,945 noa-rvc-v2 INFO ====> Epoch: 179
|
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2023-05-17 01:23:02,039 noa-rvc-v2 INFO ====> Epoch: 180
|
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2023-05-17 01:23:10,153 noa-rvc-v2 INFO ====> Epoch: 181
|
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2023-05-17 01:23:18,264 noa-rvc-v2 INFO ====> Epoch: 182
|
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2023-05-17 01:23:26,404 noa-rvc-v2 INFO ====> Epoch: 183
|
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2023-05-17 01:23:34,504 noa-rvc-v2 INFO ====> Epoch: 184
|
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2023-05-17 01:23:42,630 noa-rvc-v2 INFO ====> Epoch: 185
|
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2023-05-17 01:23:50,766 noa-rvc-v2 INFO ====> Epoch: 186
|
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2023-05-17 01:23:59,014 noa-rvc-v2 INFO ====> Epoch: 187
|
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2023-05-17 01:24:07,177 noa-rvc-v2 INFO ====> Epoch: 188
|
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2023-05-17 01:24:15,338 noa-rvc-v2 INFO ====> Epoch: 189
|
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2023-05-17 01:24:19,715 noa-rvc-v2 INFO Train Epoch: 190 [47%]
|
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+
2023-05-17 01:24:19,716 noa-rvc-v2 INFO [3600, 9.766504433460612e-05]
|
254 |
+
2023-05-17 01:24:19,716 noa-rvc-v2 INFO loss_disc=3.615, loss_gen=3.799, loss_fm=14.703,loss_mel=19.200, loss_kl=0.439
|
255 |
+
2023-05-17 01:24:23,914 noa-rvc-v2 INFO ====> Epoch: 190
|
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2023-05-17 01:24:32,062 noa-rvc-v2 INFO ====> Epoch: 191
|
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2023-05-17 01:24:40,102 noa-rvc-v2 INFO ====> Epoch: 192
|
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2023-05-17 01:24:48,206 noa-rvc-v2 INFO ====> Epoch: 193
|
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2023-05-17 01:24:56,294 noa-rvc-v2 INFO ====> Epoch: 194
|
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2023-05-17 01:25:04,348 noa-rvc-v2 INFO ====> Epoch: 195
|
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2023-05-17 01:25:12,658 noa-rvc-v2 INFO ====> Epoch: 196
|
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2023-05-17 01:25:20,752 noa-rvc-v2 INFO ====> Epoch: 197
|
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2023-05-17 01:25:28,852 noa-rvc-v2 INFO ====> Epoch: 198
|
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2023-05-17 01:25:36,897 noa-rvc-v2 INFO ====> Epoch: 199
|
265 |
+
2023-05-17 01:25:45,107 noa-rvc-v2 INFO Saving model and optimizer state at epoch 200 to ./logs/noa-rvc-v2/G_2333333.pth
|
266 |
+
2023-05-17 01:25:46,756 noa-rvc-v2 INFO Saving model and optimizer state at epoch 200 to ./logs/noa-rvc-v2/D_2333333.pth
|
267 |
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2023-05-17 01:25:49,819 noa-rvc-v2 INFO ====> Epoch: 200
|
268 |
+
2023-05-17 01:25:49,820 noa-rvc-v2 INFO Training is done. The program is closed.
|
269 |
+
2023-05-17 01:25:49,919 noa-rvc-v2 INFO saving final ckpt:Success.
|
model/shizuko/Shizuko.png
ADDED
![]() |
model/shizuko/added_IVF1058_Flat_nprobe_1_v2.index
ADDED
@@ -0,0 +1,3 @@
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:40e373a584ac455639f3c24f7dc1e968ef5da8e34f1a5576338c167c06b0230f
|
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+
size 130450459
|
model/shizuko/config.json
ADDED
@@ -0,0 +1,11 @@
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|
1 |
+
{
|
2 |
+
"model": "shizuko-rvc-v2.pth",
|
3 |
+
"feat_index": "added_IVF1058_Flat_nprobe_1_v2.index",
|
4 |
+
"speaker_id": 0,
|
5 |
+
|
6 |
+
"name": "Kawawa Shizuko",
|
7 |
+
"author": "DJQmUKV",
|
8 |
+
"source": "Blue Archive",
|
9 |
+
"note": "Audio grabbed from game resources (global version), trained 200 epoches, using V2 pretrained model.\n\nSpecial thanks to my new Android phone, I don't need to grab audio from the Internet to save everybody's bandwidth.",
|
10 |
+
"icon": "Shizuko.png"
|
11 |
+
}
|
model/shizuko/shizuko-rvc-v2.pth
ADDED
@@ -0,0 +1,3 @@
|
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|
|
|
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:05eb0aed18f3112ca978ccf7f90be4b8e62e83194a4117549b8843e61a847edb
|
3 |
+
size 55226492
|
model/shizuko/train.log
ADDED
@@ -0,0 +1,278 @@
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1 |
+
2023-05-23 01:02:56,221 shizuko-rvc-v2 INFO {'train': {'log_interval': 200, 'seed': 1234, 'epochs': 20000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 16, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 12800, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'max_wav_value': 32768.0, 'sampling_rate': 40000, 'filter_length': 2048, 'hop_length': 400, 'win_length': 2048, 'n_mel_channels': 125, 'mel_fmin': 0.0, 'mel_fmax': None, 'training_files': './logs/shizuko-rvc-v2/filelist.txt'}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 10, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'use_spectral_norm': False, 'gin_channels': 256, 'spk_embed_dim': 109}, 'model_dir': './logs/shizuko-rvc-v2', 'experiment_dir': './logs/shizuko-rvc-v2', 'save_every_epoch': 50, 'name': 'shizuko-rvc-v2', 'total_epoch': 200, 'pretrainG': 'pretrained_v2/f0G40k.pth', 'pretrainD': 'pretrained_v2/f0D40k.pth', 'version': 'v2', 'gpus': '0', 'sample_rate': '40k', 'if_f0': 1, 'if_latest': 1, 'save_every_weights': '0', 'if_cache_data_in_gpu': 0}
|
2 |
+
2023-05-23 01:02:58,000 shizuko-rvc-v2 INFO loaded pretrained pretrained_v2/f0G40k.pth pretrained_v2/f0D40k.pth
|
3 |
+
2023-05-23 01:03:11,542 shizuko-rvc-v2 INFO Train Epoch: 1 [0%]
|
4 |
+
2023-05-23 01:03:11,542 shizuko-rvc-v2 INFO [0, 0.0001]
|
5 |
+
2023-05-23 01:03:11,542 shizuko-rvc-v2 INFO loss_disc=4.351, loss_gen=2.690, loss_fm=9.002,loss_mel=31.734, loss_kl=9.000
|
6 |
+
2023-05-23 01:03:23,172 shizuko-rvc-v2 INFO ====> Epoch: 1
|
7 |
+
2023-05-23 01:03:33,268 shizuko-rvc-v2 INFO ====> Epoch: 2
|
8 |
+
2023-05-23 01:03:42,830 shizuko-rvc-v2 INFO ====> Epoch: 3
|
9 |
+
2023-05-23 01:03:52,660 shizuko-rvc-v2 INFO ====> Epoch: 4
|
10 |
+
2023-05-23 01:04:02,216 shizuko-rvc-v2 INFO ====> Epoch: 5
|
11 |
+
2023-05-23 01:04:11,812 shizuko-rvc-v2 INFO ====> Epoch: 6
|
12 |
+
2023-05-23 01:04:21,456 shizuko-rvc-v2 INFO ====> Epoch: 7
|
13 |
+
2023-05-23 01:04:30,976 shizuko-rvc-v2 INFO ====> Epoch: 8
|
14 |
+
2023-05-23 01:04:40,389 shizuko-rvc-v2 INFO ====> Epoch: 9
|
15 |
+
2023-05-23 01:04:41,885 shizuko-rvc-v2 INFO Train Epoch: 10 [9%]
|
16 |
+
2023-05-23 01:04:41,885 shizuko-rvc-v2 INFO [200, 9.98875562335968e-05]
|
17 |
+
2023-05-23 01:04:41,885 shizuko-rvc-v2 INFO loss_disc=3.563, loss_gen=3.409, loss_fm=16.262,loss_mel=26.504, loss_kl=2.177
|
18 |
+
2023-05-23 01:04:50,352 shizuko-rvc-v2 INFO ====> Epoch: 10
|
19 |
+
2023-05-23 01:04:59,762 shizuko-rvc-v2 INFO ====> Epoch: 11
|
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+
2023-05-23 01:05:09,089 shizuko-rvc-v2 INFO ====> Epoch: 12
|
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+
2023-05-23 01:05:18,496 shizuko-rvc-v2 INFO ====> Epoch: 13
|
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+
2023-05-23 01:05:28,072 shizuko-rvc-v2 INFO ====> Epoch: 14
|
23 |
+
2023-05-23 01:05:37,546 shizuko-rvc-v2 INFO ====> Epoch: 15
|
24 |
+
2023-05-23 01:05:47,223 shizuko-rvc-v2 INFO ====> Epoch: 16
|
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+
2023-05-23 01:05:56,834 shizuko-rvc-v2 INFO ====> Epoch: 17
|
26 |
+
2023-05-23 01:06:06,607 shizuko-rvc-v2 INFO ====> Epoch: 18
|
27 |
+
2023-05-23 01:06:09,066 shizuko-rvc-v2 INFO Train Epoch: 19 [18%]
|
28 |
+
2023-05-23 01:06:09,067 shizuko-rvc-v2 INFO [400, 9.977523890319963e-05]
|
29 |
+
2023-05-23 01:06:09,067 shizuko-rvc-v2 INFO loss_disc=3.637, loss_gen=3.394, loss_fm=15.313,loss_mel=23.628, loss_kl=1.299
|
30 |
+
2023-05-23 01:06:16,835 shizuko-rvc-v2 INFO ====> Epoch: 19
|
31 |
+
2023-05-23 01:06:26,444 shizuko-rvc-v2 INFO ====> Epoch: 20
|
32 |
+
2023-05-23 01:06:36,076 shizuko-rvc-v2 INFO ====> Epoch: 21
|
33 |
+
2023-05-23 01:06:45,662 shizuko-rvc-v2 INFO ====> Epoch: 22
|
34 |
+
2023-05-23 01:06:55,261 shizuko-rvc-v2 INFO ====> Epoch: 23
|
35 |
+
2023-05-23 01:07:04,854 shizuko-rvc-v2 INFO ====> Epoch: 24
|
36 |
+
2023-05-23 01:07:14,597 shizuko-rvc-v2 INFO ====> Epoch: 25
|
37 |
+
2023-05-23 01:07:24,259 shizuko-rvc-v2 INFO ====> Epoch: 26
|
38 |
+
2023-05-23 01:07:33,946 shizuko-rvc-v2 INFO ====> Epoch: 27
|
39 |
+
2023-05-23 01:07:37,392 shizuko-rvc-v2 INFO Train Epoch: 28 [27%]
|
40 |
+
2023-05-23 01:07:37,393 shizuko-rvc-v2 INFO [600, 9.966304786663908e-05]
|
41 |
+
2023-05-23 01:07:37,393 shizuko-rvc-v2 INFO loss_disc=3.657, loss_gen=3.822, loss_fm=14.683,loss_mel=24.142, loss_kl=1.745
|
42 |
+
2023-05-23 01:07:44,332 shizuko-rvc-v2 INFO ====> Epoch: 28
|
43 |
+
2023-05-23 01:07:54,124 shizuko-rvc-v2 INFO ====> Epoch: 29
|
44 |
+
2023-05-23 01:08:03,823 shizuko-rvc-v2 INFO ====> Epoch: 30
|
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+
2023-05-23 01:08:13,485 shizuko-rvc-v2 INFO ====> Epoch: 31
|
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+
2023-05-23 01:08:23,155 shizuko-rvc-v2 INFO ====> Epoch: 32
|
47 |
+
2023-05-23 01:08:32,758 shizuko-rvc-v2 INFO ====> Epoch: 33
|
48 |
+
2023-05-23 01:08:42,381 shizuko-rvc-v2 INFO ====> Epoch: 34
|
49 |
+
2023-05-23 01:08:52,202 shizuko-rvc-v2 INFO ====> Epoch: 35
|
50 |
+
2023-05-23 01:09:01,767 shizuko-rvc-v2 INFO ====> Epoch: 36
|
51 |
+
2023-05-23 01:09:05,843 shizuko-rvc-v2 INFO Train Epoch: 37 [36%]
|
52 |
+
2023-05-23 01:09:05,844 shizuko-rvc-v2 INFO [800, 9.95509829819056e-05]
|
53 |
+
2023-05-23 01:09:05,844 shizuko-rvc-v2 INFO loss_disc=3.784, loss_gen=3.424, loss_fm=11.962,loss_mel=20.105, loss_kl=1.288
|
54 |
+
2023-05-23 01:09:11,771 shizuko-rvc-v2 INFO ====> Epoch: 37
|
55 |
+
2023-05-23 01:09:21,397 shizuko-rvc-v2 INFO ====> Epoch: 38
|
56 |
+
2023-05-23 01:09:31,023 shizuko-rvc-v2 INFO ====> Epoch: 39
|
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+
2023-05-23 01:09:40,670 shizuko-rvc-v2 INFO ====> Epoch: 40
|
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+
2023-05-23 01:09:50,296 shizuko-rvc-v2 INFO ====> Epoch: 41
|
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+
2023-05-23 01:09:59,944 shizuko-rvc-v2 INFO ====> Epoch: 42
|
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+
2023-05-23 01:10:09,756 shizuko-rvc-v2 INFO ====> Epoch: 43
|
61 |
+
2023-05-23 01:10:19,573 shizuko-rvc-v2 INFO ====> Epoch: 44
|
62 |
+
2023-05-23 01:10:29,200 shizuko-rvc-v2 INFO ====> Epoch: 45
|
63 |
+
2023-05-23 01:10:34,137 shizuko-rvc-v2 INFO Train Epoch: 46 [45%]
|
64 |
+
2023-05-23 01:10:34,138 shizuko-rvc-v2 INFO [1000, 9.943904410714931e-05]
|
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+
2023-05-23 01:10:34,138 shizuko-rvc-v2 INFO loss_disc=3.867, loss_gen=3.435, loss_fm=11.486,loss_mel=20.755, loss_kl=1.459
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2023-05-23 01:10:39,286 shizuko-rvc-v2 INFO ====> Epoch: 46
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2023-05-23 01:11:19,423 shizuko-rvc-v2 INFO ====> Epoch: 50
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2023-05-23 01:12:03,812 shizuko-rvc-v2 INFO Train Epoch: 55 [55%]
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2023-05-23 01:12:03,813 shizuko-rvc-v2 INFO [1200, 9.932723110067987e-05]
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2023-05-23 01:12:03,813 shizuko-rvc-v2 INFO loss_disc=3.602, loss_gen=3.926, loss_fm=16.188,loss_mel=22.828, loss_kl=1.169
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2023-05-23 01:13:31,917 shizuko-rvc-v2 INFO Train Epoch: 64 [64%]
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2023-05-23 01:13:31,918 shizuko-rvc-v2 INFO [1400, 9.921554382096622e-05]
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2023-05-23 01:13:31,918 shizuko-rvc-v2 INFO loss_disc=3.790, loss_gen=3.426, loss_fm=15.606,loss_mel=22.251, loss_kl=1.398
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2023-05-23 01:13:35,289 shizuko-rvc-v2 INFO ====> Epoch: 64
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2023-05-23 01:14:59,986 shizuko-rvc-v2 INFO Train Epoch: 73 [73%]
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2023-05-23 01:14:59,987 shizuko-rvc-v2 INFO [1600, 9.910398212663652e-05]
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2023-05-23 01:14:59,987 shizuko-rvc-v2 INFO loss_disc=3.549, loss_gen=3.519, loss_fm=14.384,loss_mel=22.478, loss_kl=1.007
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2023-05-23 01:16:27,154 shizuko-rvc-v2 INFO Train Epoch: 82 [82%]
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2023-05-23 01:16:27,155 shizuko-rvc-v2 INFO [1800, 9.899254587647776e-05]
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2023-05-23 01:16:27,155 shizuko-rvc-v2 INFO loss_disc=3.713, loss_gen=3.248, loss_fm=11.428,loss_mel=20.689, loss_kl=1.089
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2023-05-23 01:17:54,413 shizuko-rvc-v2 INFO Train Epoch: 91 [91%]
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2023-05-23 01:17:54,414 shizuko-rvc-v2 INFO [2000, 9.888123492943583e-05]
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2023-05-23 01:17:54,414 shizuko-rvc-v2 INFO loss_disc=3.416, loss_gen=3.678, loss_fm=13.816,loss_mel=19.547, loss_kl=1.134
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2023-05-23 01:19:24,260 shizuko-rvc-v2 INFO Saving model and optimizer state at epoch 100 to ./logs/shizuko-rvc-v2/D_2333333.pth
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2023-05-23 01:19:27,365 shizuko-rvc-v2 INFO ====> Epoch: 100
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2023-05-23 01:19:28,043 shizuko-rvc-v2 INFO Train Epoch: 101 [0%]
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2023-05-23 01:19:28,043 shizuko-rvc-v2 INFO [2200, 9.875770288847208e-05]
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2023-05-23 01:19:28,044 shizuko-rvc-v2 INFO loss_disc=3.722, loss_gen=3.525, loss_fm=12.838,loss_mel=21.547, loss_kl=1.405
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2023-05-23 01:20:56,582 shizuko-rvc-v2 INFO [2400, 9.864665600773098e-05]
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2023-05-23 01:20:56,582 shizuko-rvc-v2 INFO loss_disc=3.522, loss_gen=3.789, loss_fm=16.793,loss_mel=23.978, loss_kl=1.128
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2023-05-23 01:21:05,144 shizuko-rvc-v2 INFO ====> Epoch: 110
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2023-05-23 01:22:24,803 shizuko-rvc-v2 INFO Train Epoch: 119 [18%]
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2023-05-23 01:22:24,804 shizuko-rvc-v2 INFO [2600, 9.853573399228505e-05]
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2023-05-23 01:22:24,804 shizuko-rvc-v2 INFO loss_disc=3.448, loss_gen=3.713, loss_fm=15.504,loss_mel=22.589, loss_kl=1.307
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2023-05-23 01:22:32,500 shizuko-rvc-v2 INFO ====> Epoch: 119
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2023-05-23 01:23:52,832 shizuko-rvc-v2 INFO Train Epoch: 128 [27%]
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2023-05-23 01:23:52,832 shizuko-rvc-v2 INFO [2800, 9.842493670173108e-05]
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2023-05-23 01:23:52,833 shizuko-rvc-v2 INFO loss_disc=3.779, loss_gen=3.631, loss_fm=13.442,loss_mel=20.678, loss_kl=1.177
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2023-05-23 01:23:59,730 shizuko-rvc-v2 INFO ====> Epoch: 128
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2023-05-23 01:25:21,330 shizuko-rvc-v2 INFO Train Epoch: 137 [36%]
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2023-05-23 01:25:21,330 shizuko-rvc-v2 INFO [3000, 9.831426399582366e-05]
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2023-05-23 01:25:21,331 shizuko-rvc-v2 INFO loss_disc=3.386, loss_gen=3.841, loss_fm=16.443,loss_mel=22.168, loss_kl=0.745
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2023-05-23 01:26:49,597 shizuko-rvc-v2 INFO loss_disc=3.637, loss_gen=3.156, loss_fm=15.166,loss_mel=20.902, loss_kl=1.120
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2023-05-23 01:26:54,688 shizuko-rvc-v2 INFO ====> Epoch: 146
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2023-05-23 01:27:33,391 shizuko-rvc-v2 INFO Saving model and optimizer state at epoch 150 to ./logs/shizuko-rvc-v2/G_2333333.pth
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2023-05-23 01:28:22,347 shizuko-rvc-v2 INFO Train Epoch: 155 [55%]
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2023-05-23 01:28:22,348 shizuko-rvc-v2 INFO [3400, 9.809329177775541e-05]
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2023-05-23 01:28:22,348 shizuko-rvc-v2 INFO loss_disc=3.352, loss_gen=3.936, loss_fm=13.277,loss_mel=17.754, loss_kl=0.125
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2023-05-23 01:29:50,950 shizuko-rvc-v2 INFO Train Epoch: 164 [64%]
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2023-05-23 01:29:50,951 shizuko-rvc-v2 INFO loss_disc=3.493, loss_gen=3.791, loss_fm=14.555,loss_mel=18.843, loss_kl=0.539
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2023-05-23 01:29:54,330 shizuko-rvc-v2 INFO ====> Epoch: 164
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2023-05-23 01:31:19,545 shizuko-rvc-v2 INFO loss_disc=3.446, loss_gen=4.107, loss_fm=14.606,loss_mel=20.612, loss_kl=0.903
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2023-05-23 01:32:47,775 shizuko-rvc-v2 INFO Train Epoch: 182 [82%]
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2023-05-23 01:32:47,776 shizuko-rvc-v2 INFO [4000, 9.776276433842631e-05]
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2023-05-23 01:32:47,776 shizuko-rvc-v2 INFO loss_disc=3.450, loss_gen=3.534, loss_fm=11.875,loss_mel=18.041, loss_kl=0.815
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2023-05-23 01:34:16,099 shizuko-rvc-v2 INFO [4200, 9.765283620406429e-05]
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2023-05-23 01:34:16,099 shizuko-rvc-v2 INFO loss_disc=3.357, loss_gen=4.309, loss_fm=20.132,loss_mel=23.198, loss_kl=0.996
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2023-05-23 01:35:44,097 shizuko-rvc-v2 INFO Saving model and optimizer state at epoch 200 to ./logs/shizuko-rvc-v2/G_2333333.pth
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2023-05-23 01:35:48,826 shizuko-rvc-v2 INFO Training is done. The program is closed.
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2023-05-23 01:35:48,922 shizuko-rvc-v2 INFO saving final ckpt:Success.
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