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Hi, when running the following code of caption.py in PATH (openshape-demo-support/openshape/demo)

tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
prefix_length = 10
model = ClipCaptionModel(prefix_length)
# print(model.gpt_embedding_size)
model.load_state_dict(torch.load(hf_hub_download('OpenShape/clipcap-cc', 'conceptual_weights.pt', token=True), map_location='cpu'))

report error

RuntimeError: Error(s) in loading state_dict for ClipCaptionModel:
        Unexpected key(s) in state_dict: "gpt.transformer.h.0.attn.bias", "gpt.transformer.h.0.attn.masked_bias", "gpt.transformer.h.1.attn.bias", 
"gpt.transformer.h.1.attn.masked_bias", "gpt.transformer.h.2.attn.bias", "gpt.transformer.h.2.attn.masked_bias", "gpt.transformer.h.3.attn.bias", 
"gpt.transformer.h.3.attn.masked_bias", "gpt.transformer.h.4.attn.bias", "gpt.transformer.h.4.attn.masked_bias", "gpt.transformer.h.5.attn.bias", 
"gpt.transformer.h.5.attn.masked_bias", "gpt.transformer.h.6.attn.bias", "gpt.transformer.h.6.attn.masked_bias", "gpt.transformer.h.7.attn.bias", 
"gpt.transformer.h.7.attn.masked_bias", "gpt.transformer.h.8.attn.bias", "gpt.transformer.h.8.attn.masked_bias", "gpt.transformer.h.9.attn.bias", 
"gpt.transformer.h.9.attn.masked_bias", "gpt.transformer.h.10.attn.bias", "gpt.transformer.h.10.attn.masked_bias", "gpt.transformer.h.11.attn.bias", 
"gpt.transformer.h.11.attn.masked_bias".

what is wrong?