Some weights of the model checkpoint at stllm/output/instructblipbase_stllm_conversation/ were not used?

[dragen1860]

dear author:
when loading pretrained ckpt, some weights are not used, is it normal??

Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:14<00:00,  7.15s/it]
Some weights of the model checkpoint at stllm/output/instructblipbase_stllm_conversation/checkpoint-5490/ were not used when initializing STLLMForCausalLM: ['model.stllm_model.Qformer.bert.encoder.layer.4.attention.output.LayerNorm.weight', 

'model.stllm_model.Qformer.bert.encoder.layer.6.crossattention.self.key.bias', 


'model.stllm_model.Qformer.bert.encoder.layer.5.attention.self.key.weight', 

'model.stllm_model.visual_encoder.blocks.22.mlp.fc1.bias', 'model.stllm_model.Qformer.bert.embeddings.position_ids', 'model.stllm_model.visual_encoder.blocks.24.norm1.bias', 

'model.stllm_model.Qformer.bert.encoder.layer.4.attention.output.dense.bias', 

'model.stllm_model.Qformer.bert.encoder.layer.1.attention.self.query.bias', 'model.stllm_model.visual_encoder.blocks.33.norm2.bias', 'model.stllm_model.visual_encoder.blocks.37.attn.proj.bias', 'model.stllm_model.Qformer.bert.encoder.layer.5.attention.self.value.bias', 'model.stllm_model.visual_encoder.blocks.24.mlp.fc2.bias', 'model.stllm_model.Qformer.bert.encoder.layer.3.attention.self.query.bias', 'model.stllm_model.Qformer.bert.encoder.layer.4.attention.self.value.bias', 'model.stllm_model.Qformer.bert.encoder.layer.4.crossattention.output.LayerNorm.bias', 'model.stllm_model.Qformer.bert.encoder.layer.4.intermediate.dense.bias', 'model.stllm_model.visual_encoder.blocks.14.attn.proj.weight', 'model.stllm_model.visual_encoder.blocks.4.mlp.fc2.weight', 'model.stllm_model.Qformer.bert.encoder.layer.10.crossattention.self.value.bias', 'model.stllm_model.visual_encoder.blocks.29.norm1.weight', 'model.stllm_model.Qformer.bert.encoder.layer.2.attention.self.query.weight', 'model.stllm_model.visual_encoder.blocks.32.attn.v_bias', 'model.stllm_model.visual_encoder.blocks.12.attn.proj.bias', 'model.stllm_model.visual_encoder.blocks.37.mlp.fc2.weight', 'model.stllm_model.visual_encoder.blocks.33.mlp.fc1.bias', 'model.stllm_model.visual_encoder.blocks.36.norm2.weight', 'model.stllm_model.visual_encoder.blocks.20.norm1.bias', 'model.stllm_model.visual_encoder.blocks.16.mlp.fc1.weight', 'model.stllm_model.visual_encoder.blocks.17.mlp.fc2.weight', 'model.stllm_model.visual_encoder.blocks.10.attn.proj.bias', 'model.stllm_model.visual_encoder.blocks.6.mlp.fc1.weight', 'model.stllm_model.Qformer.bert.encoder.layer.10.crossattention.self.query.bias', 'model.stllm_model.Qformer.bert.encoder.layer.8.output_query.dense.weight', 'model.stllm_model.Qformer.bert.encoder.layer.8.crossattention.self.value.bias', 'model.stllm_model.visual_encoder.blocks.33.attn.q_bias', 'model.stllm_model.Qformer.bert.encoder.layer.5.attention.output.dense.bias', 'model.stllm_model.Qformer.bert.encoder.layer.6.intermediate_query.dense.weight', 'model.stllm_model.visual_encoder.blocks.15.mlp.fc2.weight', 'model.stllm_model.Qformer.bert.encoder.layer.0.attention.self.value.weight', 'model.stllm_model.visual_encoder.blocks.0.norm2.weight', 'model.stllm_model.visual_encoder.blocks.26.mlp.fc2.weight', 'model.stllm_model.Qformer.bert.encoder.layer.10.attention.output.LayerNorm.bias', 'model.stllm_model.Qformer.bert.encoder.layer.0.attention.output.LayerNorm.weight', 'model.stllm_model.visual_encoder.blocks.28.mlp.fc2.bias', 'model.stllm_model.visual_encoder.blocks.5.attn.q_bias', 'model.stllm_model.visual_encoder.blocks.31.norm2.bias', 'model.stllm_model.visual_encoder.blocks.18.mlp.fc2.weight', 'model.stllm_model.visual_encoder.blocks.9.attn.qkv.weight', 'model.stllm_model.Qformer.bert.encoder.layer.8.output.LayerNorm.weight', 'model.stllm_model.visual_encoder.blocks.24.norm2.weight', 'model.stllm_model.visual_encoder.blocks.9.norm2.weight', 'model.stllm_model.visual_encoder.blocks.25.norm2.weight', 'model.stllm_model.visual_encoder.blocks.4.norm2.bias', 'model.stllm_model.visual_encoder.blocks.15.mlp.fc1.bias', 'model.stllm_model.Qformer.bert.encoder.layer.6.crossattention.output.dense.bias', 'model.stllm_model.visual_encoder.blocks.27.norm1.weight', 'model.stllm_model.visual_encoder.blocks.25.attn.proj.bias', 'model.stllm_model.visual_encoder.pos_embed', 'model.stllm_model.visual_encoder.blocks.11.attn.q_bias', 'model.stllm_model.visual_encoder.blocks.16.norm1.bias', 'model.stllm_model.Qformer.bert.encoder.layer.2.intermediate_query.dense.bias', 'model.stllm_model.Qformer.bert.encoder.layer.1.attention.self.value.weight', 'model.stllm_model.Qformer.bert.encoder.layer.6.output_query.dense.bias', 'model.stllm_model.visual_encoder.blocks.22.norm1.bias', 'model.stllm_model.Qformer.bert.encoder.layer.8.crossattention.output.LayerNorm.bias', 'model.stllm_model.visual_encoder.blocks.34.norm1.bias', 'model.stllm_model.Qformer.bert.encoder.layer.11.attention.self.query.weight', 'model.stllm_model.visual_encoder.blocks.0.mlp.fc2.weight', 'model.stllm_model.visual_encoder.blocks.17.mlp.fc1.weight', 'model.stllm_model.visual_encoder.blocks.8.attn.proj.bias', 'model.stllm_model.visual_encoder.blocks.32.mlp.fc2.bias', 'model.stllm_model.Qformer.bert.encoder.layer.2.attention.self.value.weight', 'model.stllm_model.visual_encoder.blocks.14.attn.proj.bias', 'model.stllm_model.visual_encoder.blocks.22.attn.proj.bias', 'model.stllm_model.visual_encoder.blocks.1.mlp.fc1.bias', 'model.stllm_model.Qformer.bert.encoder.layer.2.crossattention.self.key.bias', 'model.stllm_model.visual_encoder.blocks.17.attn.proj.bias', 'model.stllm_model.Qformer.bert.encoder.layer.8.attention.output.LayerNorm.bias', 'model.stllm_model.visual_encoder.blocks.23.norm1.weight', 'model.stllm_model.visual_encoder.blocks.26.norm2.bias', 'model.stllm_model.visual_encoder.blocks.38.mlp.fc2.bias', 'model.stllm_model.visual_encoder.blocks.5.attn.proj.bias', 'model.stllm_model.Qformer.bert.encoder.layer.7.intermediate_query.dense.bias', 'model.stllm_model.visual_encoder.blocks.19.mlp.fc1.weight', 'model.stllm_model.Qformer.bert.encoder.layer.0.attention.self.key.weight', 'model.stllm_model.visual_encoder.blocks.17.norm1.weight', 'model.stllm_model.Qformer.bert.encoder.layer.11.attention.self.key.weight', 'model.stllm_model.visual_encoder.blocks.19.mlp.fc1.bias', 'model.stllm_model.Qformer.bert.encoder.layer.9.output.dense.weight', 'model.stllm_model.up_proj.weight', 'model.stllm_model.Qformer.bert.encoder.layer.8.attention.output.dense.bias', 'model.stllm_model.visual_encoder.blocks.12.norm2.weight', 'model.stllm_model.visual_encoder.blocks.11.mlp.fc1.bias', 'model.stllm_model.Qformer.bert.encoder.layer.1.output.dense.weight', 'model.stllm_model.Qformer.bert.encoder.layer.0.output.LayerNorm.bias', 'model.stllm_model.visual_encoder.blocks.28.attn.qkv.weight', 'model.stllm_model.Qformer.bert.encoder.layer.6.intermediate.dense.bias', 'model.stllm_model.visual_encoder.blocks.26.norm1.bias', 'model.stllm_model.visual_encoder.blocks.34.mlp.fc1.bias', 'model.stllm_model.Qformer.bert.encoder.layer.10.attention.self.query.weight', 'model.stllm_model.Qformer.bert.encoder.layer.6.output_query.dense.weight', 'model.stllm_model.Qformer.bert.encoder.layer.8.attention.self.query.weight', 'model.stllm_model.Qformer.bert.encoder.layer.8.attention.self.value.weight', 'model.stllm_model.visual_encoder.blocks.18.attn.proj.bias', 'model.stllm_model.visual_encoder.blocks.27.attn.qkv.weight', 'model.stllm_model.visual_encoder.blocks.7.norm1.weight', 'model.stllm_model.Qformer.bert.encoder.layer.7.output.dense.bias', 'model.stllm_model.visual_encoder.blocks.24.attn.qkv.weight', 'model.stllm_model.visual_encoder.blocks.20.norm1.weight', 'model.stllm_model.visual_encoder.blocks.36.attn.proj.bias', 'model.stllm_model.Qformer.bert.encoder.layer.5.attention.output.LayerNorm.weight', 'model.stllm_model.Qformer.bert.encoder.layer.11.output.LayerNorm.bias', 'model.stllm_model.visual_encoder.blocks.0.norm1.weight', 'model.stllm_model.visual_encoder.blocks.7.norm1.bias', 'model.stllm_model.visual_encoder.blocks.33.attn.qkv.weight', 'model.stllm_model.visual_encoder.blocks.33.norm1.bias', 'model.stllm_model.visual_encoder.blocks.4.attn.v_bias', 'model.stllm_model.visual_encoder.blocks.7.attn.v_bias', 'model.stllm_model.visual_encoder.blocks.23.attn.qkv.weight', 'model.stllm_model.Qformer.bert.encoder.layer.6.output_query.LayerNorm.weight', 'model.stllm_model.visual_encoder.blocks.31.mlp.fc1.bias', 'model.stllm_model.Qformer.bert.encoder.layer.10.crossattention.self.key.bias', 'model.stllm_model.Qformer.bert.encoder.layer.11.attention.self.query.bias', 'model.stllm_model.visual_encoder.blocks.26.mlp.fc1.bias', 'model.stllm_model.visual_encoder.blocks.3.mlp.fc1.weight', 'model.stllm_model.visual_encoder.blocks.33.mlp.fc2.weight', 'model.stllm_model.Qformer.bert.encoder.layer.3.output.LayerNorm.weight', 'model.stllm_model.visual_encoder.blocks.11.norm2.bias', 'model.stllm_model.visual_encoder.blocks.33.attn.proj.bias', 'model.stllm_model.Qformer.bert.encoder.layer.6.attention.output.LayerNorm.weight', 'model.stllm_model.Qformer.bert.encoder.layer.7.attention.output.LayerNorm.bias', 'model.stllm_model.Qformer.bert.encoder.layer.6.intermediate.dense.weight', 'model.stllm_model.visual_encoder.blocks.16.attn.v_bias', 'model.stllm_model.Qformer.bert.encoder.layer.8.output.LayerNorm.bias', 'model.stllm_model.visual_encoder.blocks.25.mlp.fc2.weight', 'model.stllm_model.visual_encoder.blocks.15.attn.v_bias', 'model.stllm_model.visual_encoder.blocks.36.mlp.fc1.weight', 'model.stllm_model.visual_encoder.blocks.38.norm1.weight', 'model.stllm_model.visual_encoder.blocks.19.mlp.fc2.weight', 'model.stllm_model.Qformer.bert.encoder.layer.1.intermediate.dense.bias', 'model.stllm_model.visual_encoder.blocks.8.norm1.weight', 'model.stllm_model.visual_encoder.blocks.27.attn.proj.bias', 'model.stllm_model.visual_encoder.blocks.9.norm2.bias', 'model.stllm_model.mvm_decoder.head.weight', 'model.stllm_model.visual_encoder.blocks.12.attn.q_bias', 'model.stllm_model.visual_encoder.blocks.2.attn.qkv.weight', 'model.stllm_model.visual_encoder.blocks.3.mlp.fc2.bias', 'model.stllm_model.visual_encoder.blocks.34.norm2.bias', 'model.stllm_model.Qformer.bert.encoder.layer.4.attention.self.key.weight', 'model.stllm_model.visual_encoder.blocks.20.attn.q_bias', 'model.stllm_model.visual_encoder.blocks.5.norm2.weight', 'model.stllm_model.visual_encoder.blocks.35.norm1.bias', 'model.stllm_model.visual_encoder.blocks.38.attn.qkv.weight', 'model.stllm_model.Qformer.bert.encoder.layer.7.output_query.dense.bias', 'model.stllm_model.visual_encoder.blocks.29.attn.proj.weight', 'model.stllm_model.visual_encoder.blocks.23.attn.v_bias', 'model.stllm_model.visual_encoder.blocks.4.attn.proj.weight', 'model.stllm_model.Qformer.bert.encoder.layer.3.attention.self.query.weight', 'model.stllm_model.visual_encoder.blocks.13.attn.q_bias', 'model.stllm_model.visual_encoder.blocks.26.attn.proj.weight', 'model.stllm_model.visual_encoder.blocks.21.mlp.fc1.bias', 'model.stllm_model.visual_encoder.blocks.11.mlp.fc1.weight', 'model.stllm_model.visual_encoder.blocks.30.attn.q_bias', 'model.stllm_model.Qformer.bert.encoder.layer.0.crossattention.self.value.weight', 'model.stllm_model.visual_encoder.blocks.12.mlp.fc2.weight', 'model.stllm_model.Qformer.bert.encoder.layer.2.crossattention.self.query.weight', 'model.stllm_model.Qformer.bert.encoder.layer.2.output.dense.weight', 'model.stllm_model.Qformer.bert.encoder.layer.10.attention.output.dense.weight', 'model.stllm_model.visual_encoder.blocks.12.attn.qkv.weight', 'model.stllm_model.visual_encoder.blocks.25.mlp.fc2.bias', 'model.stllm_model.Qformer.bert.encoder.layer.4.attention.self.key.bias', 'model.stllm_model.visual_encoder.blocks.29.attn.v_bias', 'model.stllm_model.visual_encoder.blocks.3.norm2.weight', 'model.stllm_model.Qformer.bert.encoder.layer.9.output_query.LayerNorm.weight', 'model.stllm_model.Qformer.bert.encoder.layer.6.crossattention.output.LayerNorm.bias', 'model.stllm_model.mvm_decoder.head.bias', 'model.stllm_model.visual_encoder.blocks.10.mlp.fc2.bias', 'model.stllm_model.Qformer.bert.encoder.layer.4.output_query.LayerNorm.bias', 'model.stllm_model.visual_encoder.blocks.2.mlp.fc2.bias', 'model.stllm_model.visual_encoder.blocks.17.norm2.bias', 'model.stllm_model.visual_encoder.blocks.28.attn.v_bias', 'model.stllm_model.Qformer.bert.encoder.layer.2.attention.self.key.weight', 'model.stllm_model.visual_encoder.blocks.29.mlp.fc1.weight', 'model.stllm_model.Qformer.bert.encoder.layer.9.attention.self.query.weight', 'model.stllm_model.Qformer.bert.encoder.layer.5.output_query.dense.weight', 'model.stllm_model.visual_encoder.blocks.13.mlp.fc1.bias', 'model.stllm_model.visual_encoder.blocks.16.norm2.weight', 'model.stllm_model.Qformer.bert.encoder.layer.7.output.dense.weight', 'model.stllm_model.Qformer.bert.encoder.layer.4.attention.self.query.weight', 'model.stllm_model.Qformer.bert.encoder.layer.2.crossattention.self.key.weight', 'model.stllm_model.visual_encoder.blocks.2.norm2.bias', 'model.stllm_model.Qformer.bert.encoder.layer.4.intermediate_query.dense.bias', 'model.stllm_model.Qformer.bert.encoder.layer.8.output.dense.bias', 'model.stllm_model.visual_encoder.blocks.15.attn.proj.weight', 'model.stllm_model.Qformer.bert.encoder.layer.2.output_query.LayerNorm.bias', 'model.stllm_model.Qformer.bert.encoder.layer.9.attention.self.query.bias', 'model.stllm_model.visual_encoder.blocks.6.attn.proj.weight', 'model.stllm_model.Qformer.bert.encoder.layer.11.attention.self.value.bias', 'model.stllm_model.visual_encoder.blocks.31.attn.qkv.weight', 'model.stllm_model.Qformer.bert.encoder.layer.0.crossattention.output.LayerNorm.weight', 'model.stllm_model.visual_encoder.blocks.4.attn.proj.bias', 'model.stllm_model.visual_encoder.blocks.24.mlp.fc1.weight', 'model.stllm_model.visual_encoder.blocks.37.mlp.fc1.weight', 'model.stllm_model.Qformer.bert.encoder.layer.7.attention.self.value.bias', 'model.stllm_model.visual_encoder.blocks.19.norm2.bias', 'model.stllm_model.Qformer.bert.encoder.layer.4.attention.output.LayerNorm.bias', 'model.stllm_model.Qformer.bert.encoder.layer.4.attention.self.value.weight', 'model.stllm_model.Qformer.bert.encoder.layer.7.attention.output.dense.bias', 'model.stllm_model.visual_encoder.blocks.3.norm2.bias', 'model.stllm_model.visual_encoder.blocks.7.attn.proj.weight', 'model.stllm_model.visual_encoder.blocks.25.attn.proj.weight', 'model.stllm_model.Qformer.bert.encoder.layer.1.attention.output.LayerNorm.bias', 'model.stllm_model.visual_encoder.blocks.27.mlp.fc1.bias', 'model.stllm_model.visual_encoder.blocks.14.mlp.fc1.bias', 'model.stllm_model.Qformer.bert.encoder.layer.8.output_query.LayerNorm.bias', 'model.stllm_model.Qformer.bert.encoder.layer.2.attention.self.query.bias', 'model.stllm_model.visual_encoder.blocks.7.mlp.fc2.weight', 'model.stllm_model.visual_encoder.blocks.17.attn.qkv.weight', 'model.stllm_model.down_proj.bias', 'model.stllm_model.Qformer.bert.encoder.layer.4.crossattention.output.dense.bias', 'model.stllm_model.Qformer.bert.encoder.layer.10.intermediate.dense.weight', 'model.stllm_model.visual_encoder.blocks.0.mlp.fc2.bias', 'model.stllm_model.Qformer.bert.encoder.layer.4.output.LayerNorm.weight', 'model.stllm_model.visual_encoder.blocks.28.norm2.weight', 'model.stllm_model.visual_encoder.blocks.34.attn.v_bias', 'model.stllm_model.visual_encoder.blocks.34.attn.qkv.weight', 'model.stllm_model.Qformer.bert.encoder.layer.10.crossattention.self.value.weight', 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'model.stllm_model.Qformer.bert.encoder.layer.0.attention.output.dense.weight', 'model.stllm_model.Qformer.bert.encoder.layer.6.attention.self.query.bias', 'model.stllm_model.visual_encoder.blocks.23.attn.proj.weight', 'model.stllm_model.visual_encoder.blocks.7.mlp.fc1.weight', 'model.stllm_model.visual_encoder.blocks.11.norm1.weight', 'model.stllm_model.Qformer.bert.encoder.layer.2.crossattention.self.value.bias', 'model.stllm_model.visual_encoder.blocks.31.attn.proj.weight', 'model.stllm_model.visual_encoder.blocks.22.norm1.weight', 'model.stllm_model.visual_encoder.blocks.11.attn.qkv.weight', 'model.stllm_model.Qformer.bert.encoder.layer.5.attention.self.value.weight', 'model.stllm_model.Qformer.bert.encoder.layer.2.crossattention.output.dense.weight', 'model.stllm_model.visual_encoder.blocks.8.attn.qkv.weight', 'model.stllm_model.Qformer.bert.encoder.layer.6.attention.self.key.bias', 'model.stllm_model.visual_encoder.blocks.37.norm2.weight', 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'model.stllm_model.visual_encoder.blocks.30.attn.proj.bias', 'model.stllm_model.visual_encoder.blocks.30.norm2.weight', 'model.stllm_model.visual_encoder.blocks.8.mlp.fc1.weight', 'model.stllm_model.visual_encoder.blocks.5.norm2.bias', 'model.stllm_model.visual_encoder.blocks.31.norm1.bias', 'model.stllm_model.visual_encoder.blocks.15.norm1.bias', 'model.stllm_model.visual_encoder.blocks.35.norm2.bias', 'model.stllm_model.visual_encoder.blocks.29.mlp.fc2.bias', 'model.stllm_model.visual_encoder.blocks.8.norm2.weight', 'model.stllm_model.Qformer.bert.encoder.layer.3.attention.self.key.bias', 'model.stllm_model.visual_encoder.blocks.38.attn.q_bias', 'model.stllm_model.Qformer.bert.encoder.layer.3.output_query.LayerNorm.bias', 'model.stllm_model.Qformer.bert.encoder.layer.6.intermediate_query.dense.bias', 'model.stllm_model.Qformer.bert.encoder.layer.8.crossattention.self.value.weight', 'model.stllm_model.visual_encoder.blocks.26.norm2.weight', 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- This IS expected if you are initializing STLLMForCausalLM 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 STLLMForCausalLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
/media/sdb/long/conda/envs/stllm/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(
Loading VIT
Loading VIT Done
Loading Q-Former pretrained/instruct_blip_vicuna7b_trimmed.pth
Loading Q-Former Done

[farewellthree]

Hi. Are the final test results normal?