> Training Environment:
 | > Backend: Torch
 | > Mixed precision: False
 | > Precision: float32
 | > Current device: 0
 | > Num. of GPUs: 1
 | > Num. of CPUs: 20
 | > Num. of Torch Threads: 1
 | > Torch seed: 1
 | > Torch CUDNN: True
 | > Torch CUDNN deterministic: False
 | > Torch CUDNN benchmark: False
 | > Torch TF32 MatMul: False
 > Start Tensorboard: tensorboard --logdir=J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094

 > Model has 520103786 parameters

 > EPOCH: 0/10
 --> J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094

 > TRAINING (2024-10-07 12:31:21) 

   --> TIME: 2024-10-07 12:32:33 -- STEP: 0/57 -- GLOBAL_STEP: 0
     | > loss_text_ce: 0.09054956585168839  (0.09054956585168839)
     | > loss_mel_ce: 7.118991374969482  (7.118991374969482)
     | > loss: 7.209540843963623  (7.209540843963623)
     | > grad_norm: 0  (0)
     | > current_lr: 5e-06 
     | > step_time: 2.8678  (2.8678393363952637)
     | > loader_time: 69.3847  (69.3847427368164)


   --> TIME: 2024-10-07 12:32:54 -- STEP: 50/57 -- GLOBAL_STEP: 50
     | > loss_text_ce: 0.07943269610404968  (0.08484900176525116)
     | > loss_mel_ce: 6.448935508728027  (6.546598110198975)
     | > loss: 6.52836799621582  (6.631447095870971)
     | > grad_norm: 0  (0.0)
     | > current_lr: 5e-06 
     | > step_time: 0.2855  (0.24002688884735107)
     | > loader_time: 0.0157  (0.027909402847290047)


 > EVALUATION 


  --> EVAL PERFORMANCE
     | > avg_loader_time: 0.09507475580487933 (+0)
     | > avg_loss_text_ce: 0.07929773096527372 (+0)
     | > avg_loss_mel_ce: 6.424974509647915 (+0)
     | > avg_loss: 6.504272188459124 (+0)

 > BEST MODEL : J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094\best_model_57.pth

 > EPOCH: 1/10
 --> J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094

 > TRAINING (2024-10-07 12:33:30) 

   --> TIME: 2024-10-07 12:34:55 -- STEP: 43/57 -- GLOBAL_STEP: 100
     | > loss_text_ce: 0.0764726921916008  (0.07813759979813598)
     | > loss_mel_ce: 6.210442543029785  (6.273206633190776)
     | > loss: 6.286915302276611  (6.351344263830851)
     | > grad_norm: 0  (0.0)
     | > current_lr: 3e-06 
     | > step_time: 0.1814  (0.2750721476798835)
     | > loader_time: 0.0176  (0.03615218539570653)


 > EVALUATION 


  --> EVAL PERFORMANCE
     | > avg_loader_time: 0.13353742871965682 (+0.03846267291477749)
     | > avg_loss_text_ce: 0.07507834157773427 (-0.004219389387539449)
     | > avg_loss_mel_ce: 6.363463401794434 (-0.06151110785348113)
     | > avg_loss: 6.4385416848318915 (-0.06573050362723265)

 > BEST MODEL : J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094\best_model_114.pth

 > EPOCH: 2/10
 --> J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094

 > TRAINING (2024-10-07 12:35:33) 

   --> TIME: 2024-10-07 12:36:53 -- STEP: 36/57 -- GLOBAL_STEP: 150
     | > loss_text_ce: 0.0721435546875  (0.07358831146525013)
     | > loss_mel_ce: 6.145806789398193  (6.188661495844523)
     | > loss: 6.217950344085693  (6.262249761157566)
     | > grad_norm: 0  (0.0)
     | > current_lr: 5e-06 
     | > step_time: 0.2864  (0.2767013642523024)
     | > loader_time: 0.0103  (0.03218516376283434)


 > EVALUATION 


  --> EVAL PERFORMANCE
     | > avg_loader_time: 0.06073590687343052 (-0.07280152184622629)
     | > avg_loss_text_ce: 0.06986938736268453 (-0.005208954215049744)
     | > avg_loss_mel_ce: 6.30383437020438 (-0.059629031590053394)
     | > avg_loss: 6.3737038884844095 (-0.06483779634748199)

 > BEST MODEL : J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094\best_model_171.pth

 > EPOCH: 3/10
 --> J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094

 > TRAINING (2024-10-07 12:37:19) 

   --> TIME: 2024-10-07 12:38:29 -- STEP: 29/57 -- GLOBAL_STEP: 200
     | > loss_text_ce: 0.07051176577806473  (0.07052644701867268)
     | > loss_mel_ce: 6.033895492553711  (5.986830119428964)
     | > loss: 6.10440731048584  (6.057356554886391)
     | > grad_norm: 0  (0.0)
     | > current_lr: 3e-06 
     | > step_time: 0.5699  (0.3076904395530964)
     | > loader_time: 0.0784  (0.03138653163252206)


 > EVALUATION 


  --> EVAL PERFORMANCE
     | > avg_loader_time: 0.05758019856044224 (-0.0031557083129882812)
     | > avg_loss_text_ce: 0.06753930981670107 (-0.0023300775459834527)
     | > avg_loss_mel_ce: 6.263012681688581 (-0.04082168851579926)
     | > avg_loss: 6.3305520330156595 (-0.04315185546875)

 > BEST MODEL : J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094\best_model_228.pth

 > EPOCH: 4/10
 --> J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094

 > TRAINING (2024-10-07 12:38:54) 

   --> TIME: 2024-10-07 12:39:58 -- STEP: 22/57 -- GLOBAL_STEP: 250
     | > loss_text_ce: 0.06679949909448624  (0.06776332889090884)
     | > loss_mel_ce: 5.908669471740723  (5.947822874242609)
     | > loss: 5.97546911239624  (6.0155862244692715)
     | > grad_norm: 0  (0.0)
     | > current_lr: 5e-06 
     | > step_time: 0.1722  (0.27468402819199994)
     | > loader_time: 0.0269  (0.031688766046003854)


 > EVALUATION 


  --> EVAL PERFORMANCE
     | > avg_loader_time: 0.08270270483834403 (+0.025122506277901795)
     | > avg_loss_text_ce: 0.06435149482318334 (-0.0031878149935177374)
     | > avg_loss_mel_ce: 6.234646729060581 (-0.02836595262799957)
     | > avg_loss: 6.298998083387103 (-0.03155394962855684)

 > BEST MODEL : J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094\best_model_285.pth

 > EPOCH: 5/10
 --> J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094

 > TRAINING (2024-10-07 12:40:28) 

   --> TIME: 2024-10-07 12:41:29 -- STEP: 15/57 -- GLOBAL_STEP: 300
     | > loss_text_ce: 0.06579456478357315  (0.06502530574798585)
     | > loss_mel_ce: 5.848905086517334  (5.77887757619222)
     | > loss: 5.914699554443359  (5.84390287399292)
     | > grad_norm: 0  (0.0)
     | > current_lr: 3e-06 
     | > step_time: 0.1809  (0.27963315645853676)
     | > loader_time: 0.0078  (0.014228073755900066)


 > EVALUATION 


  --> EVAL PERFORMANCE
     | > avg_loader_time: 0.05031810488019671 (-0.032384599958147325)
     | > avg_loss_text_ce: 0.06355198632393565 (-0.0007995084992476892)
     | > avg_loss_mel_ce: 6.228910718645368 (-0.005736010415213322)
     | > avg_loss: 6.292462757655552 (-0.006535325731550579)

 > BEST MODEL : J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094\best_model_342.pth

 > EPOCH: 6/10
 --> J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094

 > TRAINING (2024-10-07 12:42:02) 

   --> TIME: 2024-10-07 12:43:01 -- STEP: 8/57 -- GLOBAL_STEP: 350
     | > loss_text_ce: 0.06599541008472443  (0.06467900751158595)
     | > loss_mel_ce: 5.786276340484619  (5.757885277271271)
     | > loss: 5.852271556854248  (5.822564244270325)
     | > grad_norm: 0  (0.0)
     | > current_lr: 5e-06 
     | > step_time: 0.2701  (0.33226513862609863)
     | > loader_time: 0.0098  (0.025070995092391968)


 > EVALUATION 


  --> EVAL PERFORMANCE
     | > avg_loader_time: 0.05360582896641323 (+0.003287724086216519)
     | > avg_loss_text_ce: 0.06068255486232894 (-0.00286943146160671)
     | > avg_loss_mel_ce: 6.201059818267822 (-0.027850900377545784)
     | > avg_loss: 6.261742387499128 (-0.03072037015642426)

 > BEST MODEL : J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094\best_model_399.pth

 > EPOCH: 7/10
 --> J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094

 > TRAINING (2024-10-07 12:43:37) 

   --> TIME: 2024-10-07 12:44:33 -- STEP: 1/57 -- GLOBAL_STEP: 400
     | > loss_text_ce: 0.06220836192369461  (0.06220836192369461)
     | > loss_mel_ce: 5.4344892501831055  (5.4344892501831055)
     | > loss: 5.496697425842285  (5.496697425842285)
     | > grad_norm: 0  (0.0)
     | > current_lr: 3e-06 
     | > step_time: 0.6615  (0.6614542007446289)
     | > loader_time: 0.0078  (0.007844924926757812)


   --> TIME: 2024-10-07 12:44:56 -- STEP: 51/57 -- GLOBAL_STEP: 450
     | > loss_text_ce: 0.057098638266325  (0.06138909958741244)
     | > loss_mel_ce: 5.471390247344971  (5.594047686632941)
     | > loss: 5.528489112854004  (5.655436786950804)
     | > grad_norm: 0  (0.0)
     | > current_lr: 3e-06 
     | > step_time: 0.181  (0.2878768210317575)
     | > loader_time: 0.0088  (0.038824216992247355)


 > EVALUATION 


  --> EVAL PERFORMANCE
     | > avg_loader_time: 0.07615266527448382 (+0.02254683630807059)
     | > avg_loss_text_ce: 0.058887094259262085 (-0.0017954606030668521)
     | > avg_loss_mel_ce: 6.185043743678501 (-0.016016074589320972)
     | > avg_loss: 6.243930816650391 (-0.01781157084873719)

 > BEST MODEL : J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094\best_model_456.pth

 > EPOCH: 8/10
 --> J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094

 > TRAINING (2024-10-07 12:45:13) 

   --> TIME: 2024-10-07 12:46:26 -- STEP: 44/57 -- GLOBAL_STEP: 500
     | > loss_text_ce: 0.057373046875  (0.05940423169257966)
     | > loss_mel_ce: 5.046512126922607  (5.508131341500716)
     | > loss: 5.103885173797607  (5.567535552111539)
     | > grad_norm: 0  (0.0)
     | > current_lr: 5e-06 
     | > step_time: 0.1904  (0.2714917063713074)
     | > loader_time: 0.0078  (0.032041788101196296)


 > EVALUATION 


  --> EVAL PERFORMANCE
     | > avg_loader_time: 0.09192051206316267 (+0.015767846788678846)
     | > avg_loss_text_ce: 0.05702140714441027 (-0.0018656871148518134)
     | > avg_loss_mel_ce: 6.170133590698242 (-0.014910152980259106)
     | > avg_loss: 6.227154936109271 (-0.016775880541120003)

 > BEST MODEL : J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094\best_model_513.pth

 > EPOCH: 9/10
 --> J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094

 > TRAINING (2024-10-07 12:46:48) 

   --> TIME: 2024-10-07 12:48:02 -- STEP: 37/57 -- GLOBAL_STEP: 550
     | > loss_text_ce: 0.05594145506620407  (0.05727484087283547)
     | > loss_mel_ce: 4.725022792816162  (5.45236247294658)
     | > loss: 4.780964374542236  (5.509637330029462)
     | > grad_norm: 0  (0.0)
     | > current_lr: 3e-06 
     | > step_time: 0.1255  (0.316402834814948)
     | > loader_time: 0.0289  (0.03036097578100256)


 > EVALUATION 


  --> EVAL PERFORMANCE
     | > avg_loader_time: 0.05717955316816058 (-0.03474095889500209)
     | > avg_loss_text_ce: 0.05570900227342333 (-0.0013124048709869385)
     | > avg_loss_mel_ce: 6.155474867139544 (-0.014658723558698128)
     | > avg_loss: 6.211183888571603 (-0.015971047537667538)

 > BEST MODEL : J:\all_talk_V2_beta\alltalk_tts\finetune\Pedro_lab_new_tokenizer\training\XTTS_FT-October-07-2024_12+31PM-0c95094\best_model_570.pth