[babysor/MockingBird]替换模型训练遇到的问题

就是接着这个大佬的模型继续训练，因为我自己的模型太过于小了，无法收敛。但是一更换就报错截图在下面然后我再复制粘贴一下防止我没传上来图片

E:\数据集制作\MockingBird-main\synthesizer\synthesizer_dataset.py:84: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at ..\torch\csrc\utils\tensor_new.cpp:201.) embeds = torch.tensor(embeds) C:\Users\11351\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\functional.py:1795: UserWarning: nn.functional.tanh is deprecated. Use torch.tanh instead. warnings.warn("nn.functional.tanh is deprecated. Use torch.tanh instead.") Traceback (most recent call last): File "E:\数据集制作\MockingBird-main\synthesizer_train.py", line 37, in train(vars(args)) File "E:\数据集制作\MockingBird-main\synthesizer\train.py", line 208, in train optimizer.step() File "C:\Users\11351\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\optim\optimizer.py", line 88, in wrapper return func(*args, *kwargs) File "C:\Users\11351\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\autograd\grad_mode.py", line 28, in decorate_context return func(args, kwargs) File "C:\Users\11351\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\optim\adam.py", line 133, in step F.adam(params_with_grad, File "C:\Users\11351\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\optim_functional.py", line 86, in adam expavg.mul(beta1).add_(grad, alpha=1 - beta1) RuntimeError: The size of tensor a (1024) must match the size of tensor b (3) at non-singleton dimension 3 捕获1

1135126802

走过路过的大佬求帮忙~

1135126802

补充一下我用的是这个大佬的数据集https://pan.baidu.com/s/1iONvRxmkI-t1nHqxKytY3g 百度盘链接 4j5d

1135126802

社区的模型都试过了，除了谷歌DIrve的下不了之外。其他的都试过了，也是报错。 https://pan.baidu.com/s/1fMh9IlgKJlL2PIiRTYDUvw 百度盘链接提取码：om7f 这个大佬的是这个代码 RuntimeError: Error(s) in loading state_dict for Tacotron: size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([70, 512]) from checkpoint, the shape in current model is torch.Size([75, 512]). size mismatch for encoder_proj.weight: copying a param with shape torch.Size([128, 512]) from checkpoint, the shape in current model is torch.Size([128, 1024]). size mismatch for decoder.attn_rnn.weight_ih: copying a param with shape torch.Size([384, 768]) from checkpoint, the shape in current model is torch.Size([384, 1280]). size mismatch for decoder.rnn_input.weight: copying a param with shape torch.Size([1024, 640]) from checkpoint, the shape in current model is torch.Size([1024, 1152]). size mismatch for decoder.stop_proj.weight: copying a param with shape torch.Size([1, 1536]) from checkpoint, the shape in current model is torch.Size([1, 2048]).

1135126802

https://pan.baidu.com/s/1PI-hM3sn5wbeChRryX-RCQ 提取码：2021这个的是下面的就是我的数据量要匹配这个模型才可以么 RuntimeError: Error(s) in loading state_dict for Tacotron: size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([70, 512]) from checkpoint, the shape in current model is torch.Size([75, 512]). size mismatch for encoder_proj.weight: copying a param with shape torch.Size([128, 512]) from checkpoint, the shape in current model is torch.Size([128, 1024]). size mismatch for decoder.attn_rnn.weight_ih: copying a param with shape torch.Size([384, 768]) from checkpoint, the shape in current model is torch.Size([384, 1280]). size mismatch for decoder.rnn_input.weight: copying a param with shape torch.Size([1024, 640]) from checkpoint, the shape in current model is torch.Size([1024, 1152]). size mismatch for decoder.stop_proj.weight: copying a param with shape torch.Size([1, 1536]) from checkpoint, the shape in current model is torch.Size([1, 2048]).

1135126802

同求大佬，一样问题

1239hy

不是数据量问题，而是你的模型和代码版本不一致，你下载前要看模型是哪个代码版本，要切换过去（版本切换请学git）

babysor

好的谢谢大佬我去学一下gui

1135126802

我用的tag 0.01 的版本预处理然后换了模型（用的是ceshi）发现继续训练的时候会出现valueerror，具体为： Loading weights at synthesizer\saved_models\chenlin\chenlin.pt Traceback (most recent call last): File "D:\Downloads\MockingBird-0.0.1\synthesizer_train.py", line 37, in train(**vars(args)) File "D:\Downloads\MockingBird-0.0.1\synthesizer\train.py", line 114, in train model.load(weights_fpath, optimizer) File "D:\Downloads\MockingBird-0.0.1\synthesizer\models\tacotron.py", line 526, in load optimizer.load_state_dict(checkpoint["optimizer_state"]) File "C:\Users\xxxxxxx\AppData\Loc File "D:\Downloads\MockingBird-0.0.1\synthesizer\train.py", line 114, in train model.load(weights_fpath, optimizer) File "D:\Downloads\MockingBird-0.0.1\synthesizer\models\tacotron.py", line 526, in load optimizer.load_state_dict(checkpoint["optimizer_state"]) File "C:\Users\xxxxxxx\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\optim\optimizer.py", line 146, in load_state_dict raise ValueError("loaded state dict contains a parameter group " ValueError: loaded state dict contains a parameter group that doesn't match the size of optimizer's groupal\Programs\Python\Python39\lib\site-packages\torch\optim\optimizer.py", line 146, in load_state_dict raise ValueError("loaded state dict contains a parameter group " ValueError: loaded state dict contains a parameter group that doesn't match the size of optimizer's group 请问下好心人怎么解决，第一次使用有些地方不太了解

akiaki1996

大佬学会了吗，小白求分享如何切换tag V0.0.1

hanc44

[babysor/MockingBird]替换模型训练遇到的问题

回答