THis is my issuse

When i start training model is have error like this

and in terminals is show like this

DEBUG:infer.lib.infer_pack.models:gin_channels: 256, self.spk_embed_dim: 109
INFO:Girl_AI:loaded pretrained assets/pretrained/f0G40k.pth
/home/tinparnus/Desktop/Retrieval-based-Voice-Conversion-WebUI/infer/modules/train/train.py:231: 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.
torch.load(hps.pretrainG, map_location="cpu")["model"]
INFO:Girl_AI:
INFO:Girl_AI:loaded pretrained assets/pretrained/f0D40k.pth
/home/tinparnus/Desktop/Retrieval-based-Voice-Conversion-WebUI/infer/modules/train/train.py:246: 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.

Start by inspecting infer/modules/train/train.py around lines 231 and 246, where the reported torch.load warnings occur, and compare those messages with the error shown in the attached screenshot. Reproduce model training to identify the actual failure beyond the warnings; done means the cause is confirmed and training completes or the issue is documented with actionable diagnostics.