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WisconsinAIVision / ViP-LLaVA

[CVPR2024] ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
https://vip-llava.github.io/
Apache License 2.0
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[Question] Warning occurred when """model = LlavaLlamaForCausalLM.from_pretrained(model_path, low_cpu_mem_usage=True, **kwargs)""" in builder.py #14

Closed ia-gu closed 5 months ago

ia-gu commented 5 months ago

Question

When I run bash scripts／finetune_stage3.sh or python predict.py, I faced the warning message. I have downloaded the pretrained weights from the huggingface.
Finetuning and Predicting can be done by ignoring this message. However, when I try to load finetuned weights(checkpoints／vip-llava-7b-stage3-ft), the same message occurs. Is there any idea to sove this? Or can this message be ignored or not? Thanks in advance.

Warning Message

Some weights of the model checkpoint at ./model_weights were not used when initializing LlavaLlamaForCausalLM: ['model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.bias', 'model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.bias', 'model.vision_tower.vision_tower.vision_model.encoder.layers.12.layer_norm2.bias', 'model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.bias', 'model.vision_tower.vision_tower.vision_model.encoder.layers.0.mlp.fc1.bias', 'model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.bias', 'model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.bias', 'model.vision_tower.vision_tower.vision_model.encoder.layers.12.mlp.fc2.bias', 'model.vision_tower.vision_tower.vision_model.encoder.layers.18.layer_norm1.weight', 'model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.bias', 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- This IS expected if you are initializing LlavaLlamaForCausalLM from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing LlavaLlamaForCausalLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
mu-cai commented 5 months ago

Thanks for bringing this. This warning will not affect the performance.

ia-gu commented 5 months ago

Thank you for your response. I understand now and appreciate your clarification.