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| /app/train_dvae_xtts.py:87: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. |
| dvae.load_state_dict(torch.load(dvae_pretrained), strict=False) |
| /app/TTS/tts/layers/tortoise/arch_utils.py:336: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. |
| self.mel_norms = torch.load(f) |
| | > Found 36938 files in /app/data |
| > Filtering invalid eval samples!! |
| > Total eval samples after filtering: 203 |
| > Sampling by language: dict_keys(['luo']) |
| step: 0 |
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| ####################################### |
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| ####################################### |
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| ####################################### |
| epoch: 1 EVAL loss: 0.04333304241299629 |
| ####################################### |
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| ####################################### |
| epoch: 2 EVAL loss: 0.039518384262919426 |
| ####################################### |
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| ####################################### |
| epoch: 3 EVAL loss: 0.0373398307710886 |
| ####################################### |
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| ####################################### |
| epoch: 4 EVAL loss: 0.03582187369465828 |
| ####################################### |
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| ####################################### |
| epoch: 5 EVAL loss: 0.034729933366179466 |
| ####################################### |
| step: 0 |
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| ####################################### |
| epoch: 6 EVAL loss: 0.03389867767691612 |
| ####################################### |
| step: 0 |
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| ####################################### |
| epoch: 7 EVAL loss: 0.033447377383708954 |
| ####################################### |
| step: 0 |
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| ####################################### |
| epoch: 8 EVAL loss: 0.032998230308294296 |
| ####################################### |
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| epoch: 9 None loss - 0.030378159135580063 recon_loss - 0.018462585285305977 commit_loss - 0.01191557478159666 |
| step: 244 |
| epoch: 9 None loss - 0.03172728419303894 recon_loss - 0.019249366596341133 commit_loss - 0.012477917596697807 |
| step: 245 |
| epoch: 9 None loss - 0.03286130726337433 recon_loss - 0.019945746287703514 commit_loss - 0.012915559113025665 |
| step: 246 |
| epoch: 9 None loss - 0.029541971161961555 recon_loss - 0.017962099984288216 commit_loss - 0.01157987117767334 |
| step: 247 |
| epoch: 9 None loss - 0.030320892110466957 recon_loss - 0.01843140833079815 commit_loss - 0.011889483779668808 |
| step: 248 |
| epoch: 9 None loss - 0.033122945576906204 recon_loss - 0.020082032307982445 commit_loss - 0.013040912337601185 |
| step: 249 |
| epoch: 9 None loss - 0.030320793390274048 recon_loss - 0.01824963465332985 commit_loss - 0.012071159668266773 |
| step: 250 |
| epoch: 9 None loss - 0.030521588400006294 recon_loss - 0.01858493685722351 commit_loss - 0.011936651542782784 |
| step: 251 |
| epoch: 9 None loss - 0.028374291956424713 recon_loss - 0.017175553366541862 commit_loss - 0.011198737658560276 |
| step: 252 |
| epoch: 9 None loss - 0.03064822405576706 recon_loss - 0.01856103539466858 commit_loss - 0.012087189592421055 |
| step: 253 |
| epoch: 9 None loss - 0.03308070823550224 recon_loss - 0.0200833547860384 commit_loss - 0.012997354380786419 |
| step: 254 |
| epoch: 9 None loss - 0.02994164079427719 recon_loss - 0.018264751881361008 commit_loss - 0.011676888912916183 |
| step: 255 |
| epoch: 9 None loss - 0.030353257432579994 recon_loss - 0.018484756350517273 commit_loss - 0.011868501082062721 |
| step: 256 |
| epoch: 9 None loss - 0.031422317028045654 recon_loss - 0.019116641953587532 commit_loss - 0.012305673211812973 |
| step: 257 |
| epoch: 9 None loss - 0.031126193702220917 recon_loss - 0.01883682608604431 commit_loss - 0.012289367616176605 |
| step: 258 |
| epoch: 9 None loss - 0.032413654029369354 recon_loss - 0.019721774384379387 commit_loss - 0.012691881507635117 |
| step: 259 |
| epoch: 9 None loss - 0.030235784128308296 recon_loss - 0.018282948061823845 commit_loss - 0.011952836066484451 |
| step: 260 |
| epoch: 9 None loss - 0.02925773523747921 recon_loss - 0.017708558589220047 commit_loss - 0.011549176648259163 |
| step: 261 |
| epoch: 9 None loss - 0.03020404651761055 recon_loss - 0.018285056576132774 commit_loss - 0.011918989941477776 |
| step: 262 |
| epoch: 9 None loss - 0.030454985797405243 recon_loss - 0.018512506037950516 commit_loss - 0.011942480690777302 |
| step: 263 |
| epoch: 9 None loss - 0.027995582669973373 recon_loss - 0.016956450417637825 commit_loss - 0.011039131321012974 |
| step: 264 |
| epoch: 9 None loss - 0.02916639670729637 recon_loss - 0.017656920477747917 commit_loss - 0.011509476229548454 |
| step: 265 |
| epoch: 9 None loss - 0.030299561098217964 recon_loss - 0.018322328105568886 commit_loss - 0.011977232992649078 |
| step: 266 |
| epoch: 9 None loss - 0.03368741273880005 recon_loss - 0.020475534722208977 commit_loss - 0.013211879879236221 |
| step: 267 |
| epoch: 9 None loss - 0.031348902732133865 recon_loss - 0.019110199064016342 commit_loss - 0.012238704599440098 |
| step: 268 |
| epoch: 9 None loss - 0.030616730451583862 recon_loss - 0.01856027916073799 commit_loss - 0.012056451290845871 |
| step: 269 |
| epoch: 9 None loss - 0.03184070438146591 recon_loss - 0.01922176592051983 commit_loss - 0.012618936598300934 |
| step: 270 |
| epoch: 9 None loss - 0.03092314675450325 recon_loss - 0.018664086237549782 commit_loss - 0.012259060516953468 |
| step: 271 |
| epoch: 9 None loss - 0.030630022287368774 recon_loss - 0.018579203635454178 commit_loss - 0.012050819583237171 |
| step: 272 |
| epoch: 9 None loss - 0.030442237854003906 recon_loss - 0.018348678946495056 commit_loss - 0.01209355890750885 |
| step: 273 |
| epoch: 9 None loss - 0.03106195293366909 recon_loss - 0.018931100144982338 commit_loss - 0.012130852788686752 |
| step: 274 |
| epoch: 9 None loss - 0.028497911989688873 recon_loss - 0.017357241362333298 commit_loss - 0.01114067155867815 |
| step: 275 |
| epoch: 9 None loss - 0.03133169934153557 recon_loss - 0.018923159688711166 commit_loss - 0.012408539652824402 |
| step: 276 |
| epoch: 9 None loss - 0.02847260981798172 recon_loss - 0.017322901636362076 commit_loss - 0.011149709112942219 |
| step: 277 |
| epoch: 9 None loss - 0.030358117073774338 recon_loss - 0.01843685284256935 commit_loss - 0.011921265162527561 |
| step: 278 |
| epoch: 9 None loss - 0.03241816535592079 recon_loss - 0.019641105085611343 commit_loss - 0.012777061201632023 |
| step: 279 |
| epoch: 9 None loss - 0.03129979968070984 recon_loss - 0.018885072320699692 commit_loss - 0.012414729222655296 |
| step: 280 |
| epoch: 9 None loss - 0.030187232419848442 recon_loss - 0.018355630338191986 commit_loss - 0.011831602081656456 |
| step: 281 |
| epoch: 9 None loss - 0.029222965240478516 recon_loss - 0.017714260146021843 commit_loss - 0.011508706025779247 |
| step: 282 |
| epoch: 9 None loss - 0.0326523631811142 recon_loss - 0.019950710237026215 commit_loss - 0.012701653875410557 |
| step: 283 |
| epoch: 9 None loss - 0.029938489198684692 recon_loss - 0.01813502237200737 commit_loss - 0.011803466826677322 |
| step: 284 |
| epoch: 9 None loss - 0.03089122101664543 recon_loss - 0.018692489713430405 commit_loss - 0.012198732234537601 |
| step: 285 |
| epoch: 9 None loss - 0.030884329229593277 recon_loss - 0.018775545060634613 commit_loss - 0.012108785100281239 |
| step: 286 |
| epoch: 9 None loss - 0.031148333102464676 recon_loss - 0.018874969333410263 commit_loss - 0.012273363769054413 |
| step: 287 |
| epoch: 9 None loss - 0.03212989866733551 recon_loss - 0.01960102654993534 commit_loss - 0.01252887211740017 |
| step: 288 |
| epoch: 9 None loss - 0.031921327114105225 recon_loss - 0.019322898238897324 commit_loss - 0.01259843073785305 |
| ####################################### |
| epoch: 9 EVAL loss: 0.03248552605509758 |
| ####################################### |
| Checkpoint saved at /app/xtts_luo/XTTS_v2.0_original_model_files/dvae.pth |
|
|
