Unexpected key(s) in state_dict while using pre-trained model

[lifelongeek]

I download pre-trained multi-view summarization model from the link you posted (https://drive.google.com/file/d/1Rhzxk1B7oaKi85Gsxr_8WcqTRx23HO-y/view?usp=sharing).

And I am trying to run Eval_Sum.py with the pre-trained model but encounter unexpected key(s) in state_dict. Below is the error message.

  File "Eval_Sum.py", line 25, in <module>
    bart = BARTModel.from_pretrained(
  File "/home1/irteam/users/geonminkim/library/fairseq/fairseq/models/bart/model.py", line 128, in from_pretrained
    x = hub_utils.from_pretrained(
  File "/home1/irteam/users/geonminkim/library/fairseq/fairseq/hub_utils.py", line 71, in from_pretrained
    models, args, task = checkpoint_utils.load_model_ensemble_and_task(
  File "/home1/irteam/users/geonminkim/library/fairseq/fairseq/checkpoint_utils.py", line 307, in load_model_ensemble_and_task
    model.load_state_dict(state["model"], strict=strict, model_cfg=cfg.model)
  File "/home1/irteam/users/geonminkim/library/fairseq/fairseq/models/fairseq_model.py", line 115, in load_state_dict
    return super().load_state_dict(new_state_dict, strict)
  File "/home1/irteam/geonminkim/anaconda3/envs/gm/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1044, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for BARTModel:
	Unexpected key(s) in state_dict: "section_positions.weight", "section_layernorm_embedding.weight", "section_layernorm_embedding.bias", "section.weight_ih_l0", "section.weight_hh_l0", "section.bias_ih_l0", "section.bias_hh_l0", "w_proj_layer_norm.weight", "w_proj_layer_norm.bias", "w_proj.weight", "w_proj.bias", "w_context_vector.weight". 

Could you suggest any solution?

[jiaaoc]

Did you install fairseq from the given folder (fairseq_multi_view)?