text: Title: 预训练模型替换后不匹配救助
  Body:  预训练模型替换成pretrained-11-7-21_75k大佬提供的出现不匹配。
  
  Found 266 samples
  +----------------+------------+---------------+------------------+
  | Steps with r=2 | Batch Size | Learning Rate | Outputs/Step (r) |
  +----------------+------------+---------------+------------------+
  |   85k Steps    |     12     |     5e-06     |        2         |
  +----------------+------------+---------------+------------------+
  
  E:\MockingBird\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 C:\cb\pytorch_1000000000000\work\torch\csrc\utils\tensor_new.cpp:248.)
    embeds = torch.tensor(embeds)
  E:\MockingBird\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 C:\cb\pytorch_1000000000000\work\torch\csrc\utils\tensor_new.cpp:248.)
    embeds = torch.tensor(embeds)
  Traceback (most recent call last):
    File "synthesizer_train.py", line 37, in <module>
      train(**vars(args))
    File "E:\MockingBird\synthesizer\train.py", line 208, in train
      optimizer.step()
    File "C:\Users\Administrator\anaconda3\envs\mock\lib\site-packages\torch\optim\optimizer.py", line 280, in wrapper
      out = func(*args, **kwargs)
    File "C:\Users\Administrator\anaconda3\envs\mock\lib\site-packages\torch\optim\optimizer.py", line 33, in _use_grad
      ret = func(self, *args, **kwargs)
    File "C:\Users\Administrator\anaconda3\envs\mock\lib\site-packages\torch\optim\adam.py", line 141, in step
      adam(
    File "C:\Users\Administrator\anaconda3\envs\mock\lib\site-packages\torch\optim\adam.py", line 281, in adam
      func(params,
    File "C:\Users\Administrator\anaconda3\envs\mock\lib\site-packages\torch\optim\adam.py", line 446, in _multi_tensor_adam
      torch._foreach_add_(device_exp_avgs, device_grads, alpha=1 - beta1)
  RuntimeError: The size of tensor a (1024) must match the size of tensor b (3) at non-singleton dimension 3
  
  **Env & To Reproduce[复现与环境]**
  描述你用的环境、代码版本、模型
  Python 3.8.16   pretrained
  **Screenshots[截图（如有）]**
  If applicable, add screenshots to help
  