RuntimeError                              Traceback (most recent call last)
~/anaconda2/envs/fastai/lib/python3.6/site-packages/torch/nn/modules/module.py in load_state_dict(self, state_dict, strict)
    513                 try:
--> 514                     own_state[name].copy_(param)
    515                 except Exception:

RuntimeError: invalid argument 2: sizes do not match at /opt/conda/conda-bld/pytorch_1518244421288/work/torch/lib/THC/generic/THCTensorCopy.c:51

During handling of the above exception, another exception occurred:

RuntimeError                              Traceback (most recent call last)
<ipython-input-154-c173cedbc36b> in <module>
----> 1 m3.load_encoder(f'/home/gamut/Downloads/fastai/courses/dl1/data/hindilm/models/adam1_enc')

~/Downloads/fastai/courses/dl1/fastai/nlp.py in load_encoder(self, name)
    164     def save_encoder(self, name): save_model(self.model[0], self.get_model_path(name))
    165 
--> 166     def load_encoder(self, name): load_model(self.model[0], self.get_model_path(name))
    167 
    168 

~/Downloads/fastai/courses/dl1/fastai/torch_imports.py in load_model(m, p)
     38             if n+'_raw' not in sd: sd[n+'_raw'] = sd[n]
     39             del sd[n]
---> 40     m.load_state_dict(sd)
     41 
     42 def load_pre(pre, f, fn):

~/anaconda2/envs/fastai/lib/python3.6/site-packages/torch/nn/modules/module.py in load_state_dict(self, state_dict, strict)
    517                                        'whose dimensions in the model are {} and '
    518                                        'whose dimensions in the checkpoint are {}.'
--> 519                                        .format(name, own_state[name].size(), param.size()))
    520             elif strict:
    521                 raise KeyError('unexpected key "{}" in state_dict'

RuntimeError: While copying the parameter named encoder.weight, whose dimensions in the model are torch.Size([67979, 300]) and whose dimensions in the checkpoint are torch.Size([25704, 300]).