Train model error

[mgauffin]

I get this error when i press train model:

write filelist done
use gpus: 0
runtime\python.exe train_nsf_sim_cache_sid_load_pretrain.py -e twofer -sr 40k -f0 1 -bs 3 -g 0 -te 20 -se 5 -pg pretrained_v2/f0G40k.pth -pd pretrained_v2/f0D40k.pth -l 1 -c 0 -sw 1 -v v2 -li 11
INFO:twofer:{'train': {'log_interval': 11, 'seed': 1234, 'epochs': 20000, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 3, '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\twofer/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\twofer', 'experiment_dir': './logs\twofer', 'save_every_epoch': 5, 'name': 'twofer', 'total_epoch': 20, '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}
INFO:torch.distributed.distributed_c10d:Added key: store_based_barrier_key:1 to store for rank: 0
INFO:torch.distributed.distributed_c10d:Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 1 nodes.
gin_channels: 256 self.spk_embed_dim: 109
INFO:twofer:loaded pretrained pretrained_v2/f0G40k.pth

INFO:twofer:loaded pretrained pretrained_v2/f0D40k.pth
Process Process-1:
Traceback (most recent call last):
File "D:\RVC\Mangio\train_nsf_sim_cache_sid_load_pretrain.py", line 181, in run
utils.latest_checkpoint_path(hps.model_dir, "D_*.pth"), net_d, optim_d
File "D:\RVC\Mangio\train\utils.py", line 206, in latest_checkpoint_path
x = f_list[-1]
IndexError: list index out of range

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "multiprocessing\process.py", line 315, in _bootstrap
File "multiprocessing\process.py", line 108, in run
File "D:\RVC\Mangio\train_nsf_sim_cache_sid_load_pretrain.py", line 208, in run
net_d.module.load_state_dict(
File "D:\RVC\Mangio\runtime\lib\site-packages\torch\nn\modules\module.py", line 2041, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for MultiPeriodDiscriminatorV2:
Missing key(s) in state_dict: "discriminators.7.convs.0.bias", "discriminators.7.convs.0.weight_g", "discriminators.7.convs.0.weight_v", "discriminators.7.convs.1.bias", "discriminators.7.convs.1.weight_g", "discriminators.7.convs.1.weight_v", "discriminators.7.convs.2.bias", "discriminators.7.convs.2.weight_g", "discriminators.7.convs.2.weight_v", "discriminators.7.convs.3.bias", "discriminators.7.convs.3.weight_g", "discriminators.7.convs.3.weight_v", "discriminators.7.convs.4.bias", "discriminators.7.convs.4.weight_g", "discriminators.7.convs.4.weight_v", "discriminators.7.conv_post.bias", "discriminators.7.conv_post.weight_g", "discriminators.7.conv_post.weight_v", "discriminators.8.convs.0.bias", "discriminators.8.convs.0.weight_g", "discriminators.8.convs.0.weight_v", "discriminators.8.convs.1.bias", "discriminators.8.convs.1.weight_g", "discriminators.8.convs.1.weight_v", "discriminators.8.convs.2.bias", "discriminators.8.convs.2.weight_g", "discriminators.8.convs.2.weight_v", "discriminators.8.convs.3.bias", "discriminators.8.convs.3.weight_g", "discriminators.8.convs.3.weight_v", "discriminators.8.convs.4.bias", "discriminators.8.convs.4.weight_g", "discriminators.8.convs.4.weight_v", "discriminators.8.conv_post.bias", "discriminators.8.conv_post.weight_g", "discriminators.8.conv_post.weight_v".

[kalbright3275]

That's odd, because each time I click on that button, this was all I received:

write filelist done
use gpus: 0
runtime\python.exe train_nsf_sim_cache_sid_load_pretrain.py -e twofer -sr 40k -f0 1 -bs 3 -g 0 -te 20 -se 5 -pg pretrained_v2/f0G40k.pth -pd pretrained_v2/f0D40k.pth -l 1 -c 0 -sw 1 -v v2 -li 11

Output information: 训练结束, 您可查看控制台训练日志或实验文件夹下的train.log

I didn't even receive a training log in my experiment logs folder or a PTH file in my weights folder...

[ZenonWrites]

That's odd, because each time I click on that button, this was all I received:

write filelist done
use gpus: 0
runtime\python.exe train_nsf_sim_cache_sid_load_pretrain.py -e twofer -sr 40k -f0 1 -bs 3 -g 0 -te 20 -se 5 -pg pretrained_v2/f0G40k.pth -pd pretrained_v2/f0D40k.pth -l 1 -c 0 -sw 1 -v v2 -li 11

Output information: 训练结束, 您可查看控制台训练日志或实验文件夹下的train.log

I didn't even receive a training log in my experiment logs folder or a PTH file in my weights folder...

you found any fix?