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mbzuai-oryx / Video-ChatGPT

[ACL 2024 🔥] Video-ChatGPT is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models.
https://mbzuai-oryx.github.io/Video-ChatGPT
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CLIPVisionModel and configuration warnings #37

Closed mario-holubar closed 1 year ago

mario-holubar commented 1 year ago

When I run inference, I get the following warnings:

Some weights of the model checkpoint at openai/clip-vit-large-patch14 were not used when initializing CLIPVisionModel: ['text_model.encoder.layers.5.layer_norm1.bias', 'text_model.encoder.layers.10.self_attn.v_proj.weight', 'text_model.encoder.layers.2.layer_norm2.weight', 'text_model.encoder.layers.10.mlp.fc1.weight', 'text_model.encoder.layers.2.self_attn.v_proj.bias', 'text_model.encoder.layers.8.layer_norm1.bias', 'text_model.encoder.layers.0.layer_norm1.weight', 'text_model.encoder.layers.3.layer_norm2.bias', 'text_model.encoder.layers.7.mlp.fc2.weight', 'text_model.encoder.layers.8.layer_norm2.weight', 'text_model.encoder.layers.8.self_attn.k_proj.bias', 'text_model.encoder.layers.0.mlp.fc2.weight', 'text_model.encoder.layers.7.self_attn.v_proj.weight', 'text_model.encoder.layers.3.self_attn.v_proj.weight', 'text_model.encoder.layers.2.self_attn.k_proj.weight', 'text_model.encoder.layers.5.self_attn.k_proj.weight', 'text_model.encoder.layers.5.self_attn.out_proj.weight', 'text_model.encoder.layers.0.self_attn.out_proj.weight', 'text_model.encoder.layers.7.self_attn.q_proj.weight', 'text_model.encoder.layers.9.self_attn.k_proj.weight', 'text_model.encoder.layers.6.mlp.fc2.weight', 'text_model.encoder.layers.5.mlp.fc2.weight', 'text_model.encoder.layers.2.mlp.fc1.weight', 'text_model.encoder.layers.0.self_attn.v_proj.bias', 'text_model.encoder.layers.3.mlp.fc2.bias', 'text_model.encoder.layers.7.self_attn.k_proj.bias', 'text_model.embeddings.position_embedding.weight', 'text_model.encoder.layers.0.layer_norm1.bias', 'text_model.encoder.layers.4.mlp.fc1.bias', 'text_model.encoder.layers.6.mlp.fc1.weight', 'text_model.encoder.layers.2.mlp.fc2.bias', 'text_model.encoder.layers.1.mlp.fc1.bias', 'text_model.encoder.layers.9.self_attn.q_proj.weight', 'text_model.encoder.layers.4.self_attn.k_proj.weight', 'text_model.encoder.layers.3.self_attn.v_proj.bias', 'text_model.encoder.layers.7.layer_norm1.bias', 'text_model.encoder.layers.7.layer_norm2.bias', 'text_model.encoder.layers.11.self_attn.q_proj.weight', 'text_model.encoder.layers.1.self_attn.v_proj.weight', 'text_model.encoder.layers.5.mlp.fc1.weight', 'text_model.encoder.layers.1.self_attn.out_proj.weight', 'text_model.encoder.layers.0.self_attn.out_proj.bias', 'text_model.encoder.layers.6.self_attn.k_proj.weight', 'text_model.encoder.layers.10.mlp.fc1.bias', 'text_model.encoder.layers.10.layer_norm1.weight', 'text_model.encoder.layers.2.self_attn.q_proj.weight', 'text_model.encoder.layers.2.self_attn.q_proj.bias', 'text_model.encoder.layers.6.self_attn.out_proj.weight', 'text_model.embeddings.position_ids', 'text_model.encoder.layers.11.mlp.fc1.weight', 'text_model.encoder.layers.4.layer_norm2.weight', 'text_model.encoder.layers.5.layer_norm2.bias', 'text_model.encoder.layers.2.self_attn.k_proj.bias', 'text_model.encoder.layers.2.layer_norm2.bias', 'text_model.encoder.layers.5.self_attn.q_proj.bias', 'text_model.encoder.layers.6.self_attn.v_proj.bias', 'text_model.encoder.layers.8.layer_norm2.bias', 'text_model.encoder.layers.8.layer_norm1.weight', 'text_model.encoder.layers.6.layer_norm2.bias', 'text_model.encoder.layers.9.self_attn.out_proj.weight', 'text_model.encoder.layers.8.mlp.fc2.bias', 'text_model.encoder.layers.1.self_attn.k_proj.weight', 'text_model.encoder.layers.4.self_attn.k_proj.bias', 'text_model.encoder.layers.1.self_attn.out_proj.bias', 'text_model.encoder.layers.2.self_attn.out_proj.bias', 'text_model.encoder.layers.1.self_attn.v_proj.bias', 'text_model.encoder.layers.3.self_attn.k_proj.bias', 'text_model.encoder.layers.6.layer_norm1.bias', 'text_model.encoder.layers.0.self_attn.k_proj.bias', 'text_model.encoder.layers.1.mlp.fc2.bias', 'text_model.encoder.layers.7.self_attn.out_proj.bias', 'text_model.encoder.layers.10.self_attn.q_proj.weight', 'text_model.encoder.layers.4.layer_norm2.bias', 'text_model.encoder.layers.7.mlp.fc1.bias', 'text_model.encoder.layers.2.mlp.fc1.bias', 'text_model.encoder.layers.4.mlp.fc2.bias', 'text_model.encoder.layers.11.mlp.fc2.bias', 'text_model.encoder.layers.0.mlp.fc1.bias', 'text_model.encoder.layers.9.self_attn.k_proj.bias', 'text_model.encoder.layers.7.self_attn.q_proj.bias', 'text_model.encoder.layers.9.self_attn.out_proj.bias', 'text_model.encoder.layers.6.layer_norm2.weight', 'text_model.encoder.layers.7.self_attn.v_proj.bias', 'text_model.encoder.layers.3.self_attn.k_proj.weight', 'text_model.encoder.layers.7.layer_norm2.weight', 'text_model.encoder.layers.1.layer_norm1.bias', 'text_model.encoder.layers.3.mlp.fc1.weight', 'text_model.encoder.layers.3.layer_norm1.bias', 'text_model.encoder.layers.4.mlp.fc2.weight', 'text_model.encoder.layers.8.mlp.fc2.weight', 'text_model.encoder.layers.10.layer_norm2.weight', 'text_model.encoder.layers.0.self_attn.k_proj.weight', 'text_model.embeddings.token_embedding.weight', 'text_model.encoder.layers.8.self_attn.v_proj.bias', 'text_model.encoder.layers.8.mlp.fc1.weight', 'text_model.encoder.layers.0.self_attn.v_proj.weight', 'text_model.encoder.layers.7.layer_norm1.weight', 'text_model.encoder.layers.6.self_attn.k_proj.bias', 'text_model.encoder.layers.3.self_attn.q_proj.weight', 'text_model.encoder.layers.9.layer_norm2.bias', 'text_model.encoder.layers.9.self_attn.q_proj.bias', 'text_model.encoder.layers.10.self_attn.k_proj.weight', 'text_model.encoder.layers.11.layer_norm2.weight', 'text_model.encoder.layers.2.mlp.fc2.weight', 'text_model.encoder.layers.0.self_attn.q_proj.weight', 'text_model.encoder.layers.4.self_attn.q_proj.bias', 'text_model.encoder.layers.10.mlp.fc2.bias', 'text_model.encoder.layers.3.self_attn.out_proj.bias', 'text_model.encoder.layers.10.self_attn.v_proj.bias', 'text_model.encoder.layers.11.self_attn.v_proj.weight', 'text_model.encoder.layers.7.self_attn.k_proj.weight', 'text_model.encoder.layers.7.self_attn.out_proj.weight', 'text_model.encoder.layers.8.self_attn.q_proj.weight', 'text_model.encoder.layers.9.layer_norm1.bias', 'text_model.encoder.layers.11.mlp.fc1.bias', 'text_model.encoder.layers.6.layer_norm1.weight', 'text_model.encoder.layers.5.self_attn.v_proj.bias', 'text_model.encoder.layers.2.self_attn.v_proj.weight', 'text_model.encoder.layers.0.self_attn.q_proj.bias', 'text_model.encoder.layers.4.layer_norm1.bias', 'text_model.encoder.layers.5.self_attn.k_proj.bias', 'text_model.encoder.layers.6.self_attn.v_proj.weight', 'text_model.final_layer_norm.bias', 'text_model.encoder.layers.4.self_attn.q_proj.weight', 'text_projection.weight', 'text_model.encoder.layers.6.self_attn.q_proj.bias', 'text_model.encoder.layers.8.self_attn.out_proj.bias', 'text_model.encoder.layers.11.mlp.fc2.weight', 'text_model.encoder.layers.1.layer_norm2.weight', 'text_model.encoder.layers.11.self_attn.out_proj.weight', 'text_model.encoder.layers.9.layer_norm2.weight', 'text_model.encoder.layers.6.mlp.fc2.bias', 'text_model.encoder.layers.5.self_attn.out_proj.bias', 'text_model.encoder.layers.4.self_attn.out_proj.weight', 'text_model.encoder.layers.0.layer_norm2.weight', 'text_model.encoder.layers.4.layer_norm1.weight', 'text_model.encoder.layers.3.layer_norm2.weight', 'text_model.encoder.layers.9.mlp.fc2.bias', 'text_model.encoder.layers.9.mlp.fc1.bias', 'text_model.encoder.layers.3.mlp.fc1.bias', 'text_model.encoder.layers.3.self_attn.out_proj.weight', 'text_model.encoder.layers.5.mlp.fc2.bias', 'text_model.encoder.layers.11.self_attn.v_proj.bias', 'text_model.encoder.layers.5.mlp.fc1.bias', 'logit_scale', 'text_model.encoder.layers.9.layer_norm1.weight', 'text_model.encoder.layers.2.self_attn.out_proj.weight', 'text_model.encoder.layers.8.self_attn.out_proj.weight', 'text_model.encoder.layers.9.mlp.fc1.weight', 'visual_projection.weight', 'text_model.encoder.layers.5.self_attn.q_proj.weight', 'text_model.encoder.layers.0.mlp.fc2.bias', 'text_model.encoder.layers.6.mlp.fc1.bias', 'text_model.encoder.layers.5.layer_norm1.weight', 'text_model.encoder.layers.3.mlp.fc2.weight', 'text_model.encoder.layers.3.self_attn.q_proj.bias', 'text_model.encoder.layers.7.mlp.fc2.bias', 'text_model.encoder.layers.8.self_attn.v_proj.weight', 'text_model.encoder.layers.9.self_attn.v_proj.weight', 'text_model.final_layer_norm.weight', 'text_model.encoder.layers.10.layer_norm2.bias', 'text_model.encoder.layers.1.self_attn.q_proj.bias', 'text_model.encoder.layers.5.layer_norm2.weight', 'text_model.encoder.layers.2.layer_norm1.bias', 'text_model.encoder.layers.11.layer_norm2.bias', 'text_model.encoder.layers.8.self_attn.k_proj.weight', 'text_model.encoder.layers.0.layer_norm2.bias', 'text_model.encoder.layers.11.layer_norm1.bias', 'text_model.encoder.layers.1.layer_norm2.bias', 'text_model.encoder.layers.1.mlp.fc2.weight', 'text_model.encoder.layers.11.self_attn.k_proj.weight', 'text_model.encoder.layers.1.self_attn.k_proj.bias', 'text_model.encoder.layers.2.layer_norm1.weight', 'text_model.encoder.layers.9.self_attn.v_proj.bias', 'text_model.encoder.layers.10.layer_norm1.bias', 'text_model.encoder.layers.7.mlp.fc1.weight', 'text_model.encoder.layers.4.self_attn.out_proj.bias', 'text_model.encoder.layers.10.mlp.fc2.weight', 'text_model.encoder.layers.6.self_attn.out_proj.bias', 'text_model.encoder.layers.6.self_attn.q_proj.weight', 'text_model.encoder.layers.1.layer_norm1.weight', 'text_model.encoder.layers.5.self_attn.v_proj.weight', 'text_model.encoder.layers.1.mlp.fc1.weight', 'text_model.encoder.layers.11.self_attn.q_proj.bias', 'text_model.encoder.layers.1.self_attn.q_proj.weight', 'text_model.encoder.layers.0.mlp.fc1.weight', 'text_model.encoder.layers.10.self_attn.out_proj.weight', 'text_model.encoder.layers.11.self_attn.k_proj.bias', 'text_model.encoder.layers.4.mlp.fc1.weight', 'text_model.encoder.layers.10.self_attn.out_proj.bias', 'text_model.encoder.layers.11.layer_norm1.weight', 'text_model.encoder.layers.11.self_attn.out_proj.bias', 'text_model.encoder.layers.4.self_attn.v_proj.bias', 'text_model.encoder.layers.8.mlp.fc1.bias', 'text_model.encoder.layers.10.self_attn.k_proj.bias', 'text_model.encoder.layers.9.mlp.fc2.weight', 'text_model.encoder.layers.4.self_attn.v_proj.weight', 'text_model.encoder.layers.3.layer_norm1.weight', 'text_model.encoder.layers.10.self_attn.q_proj.bias', 'text_model.encoder.layers.8.self_attn.q_proj.bias']
- This IS expected if you are initializing CLIPVisionModel 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 CLIPVisionModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).

and

UserWarning: You have modified the pretrained model configuration to control generation. This is a deprecated strategy to control generation and will be removed soon, in a future version. Please use a generation configuration file (see https://huggingface.co/docs/transformers/main_classes/text_generation)

Are these expected? Can I ignore them?

mmaaz60 commented 1 year ago

Hi @mario-holubar,

These warnings are expected and you can ignore them. Thank You.