Fine-tuning issue

[elna4os]

Good day!

I want to fine-tune your language model on my own data, however, I got a problem:

RuntimeError: Error(s) in loading state_dict for SequentialRNN:
	size mismatch for 0.rnns.0.weight_hh_l0_raw: copying a param with shape torch.Size([4600, 1150]) from checkpoint, the shape in current model is torch.Size([4608, 1152]).
	size mismatch for 0.rnns.0.module.weight_ih_l0: copying a param with shape torch.Size([4600, 400]) from checkpoint, the shape in current model is torch.Size([4608, 400]).
	size mismatch for 0.rnns.0.module.weight_hh_l0: copying a param with shape torch.Size([4600, 1150]) from checkpoint, the shape in current model is torch.Size([4608, 1152]).
	size mismatch for 0.rnns.0.module.bias_ih_l0: copying a param with shape torch.Size([4600]) from checkpoint, the shape in current model is torch.Size([4608]).
	size mismatch for 0.rnns.0.module.bias_hh_l0: copying a param with shape torch.Size([4600]) from checkpoint, the shape in current model is torch.Size([4608]).
	size mismatch for 0.rnns.1.weight_hh_l0_raw: copying a param with shape torch.Size([4600, 1150]) from checkpoint, the shape in current model is torch.Size([4608, 1152]).
	size mismatch for 0.rnns.1.module.weight_ih_l0: copying a param with shape torch.Size([4600, 1150]) from checkpoint, the shape in current model is torch.Size([4608, 1152]).
	size mismatch for 0.rnns.1.module.weight_hh_l0: copying a param with shape torch.Size([4600, 1150]) from checkpoint, the shape in current model is torch.Size([4608, 1152]).
	size mismatch for 0.rnns.1.module.bias_ih_l0: copying a param with shape torch.Size([4600]) from checkpoint, the shape in current model is torch.Size([4608]).
	size mismatch for 0.rnns.1.module.bias_hh_l0: copying a param with shape torch.Size([4600]) from checkpoint, the shape in current model is torch.Size([4608]).
	size mismatch for 0.rnns.2.module.weight_ih_l0: copying a param with shape torch.Size([1600, 1150]) from checkpoint, the shape in current model is torch.Size([1600, 1152]).

What version of fast.ai did you use?
My code is:

learn = language_model_learner(
    data_lm, 
    AWD_LSTM, 
    pretrained=False,
    drop_mult=0.3,
    pretrained_fnames=['lm_5_ep_lr2-3_5_stlr', 'itos']
)

Before that, I've changed config:

config = awd_lstm_lm_config.copy()
config['n_hid'] = 1150

My fast.ai version is 1.0.61
Thank you!