vqa-docvqa-val.log

+ CHECKPOINT=work_dirs/InternVL2-2B
+ DATASET=vqa-docvqa-val
++ pwd
+ CHECKPOINT=/mnt/petrelfs/wangweiyun/workspace_zyc/VLM-Dev/work_dirs/InternVL2-2B
++ pwd
+ export PYTHONPATH=/mnt/petrelfs/wangweiyun/workspace_zyc/VLM-Dev:/mnt/petrelfs/wangweiyun/workspace_wwy/pkgs/petrel-oss-sdk-2.3.14:/mnt/petrelfs/share_data/wangweiyun/share_pkgs/petrel-oss-sdk-2.3.12:
+ PYTHONPATH=/mnt/petrelfs/wangweiyun/workspace_zyc/VLM-Dev:/mnt/petrelfs/wangweiyun/workspace_wwy/pkgs/petrel-oss-sdk-2.3.14:/mnt/petrelfs/share_data/wangweiyun/share_pkgs/petrel-oss-sdk-2.3.12:
+ echo 'CHECKPOINT: /mnt/petrelfs/wangweiyun/workspace_zyc/VLM-Dev/work_dirs/InternVL2-2B'
CHECKPOINT: /mnt/petrelfs/wangweiyun/workspace_zyc/VLM-Dev/work_dirs/InternVL2-2B
+ MASTER_PORT=63669
+ PORT=63665
+ GPUS=8
+ GPUS_PER_NODE=8
+ NODES=1
+ export MASTER_PORT=63669
+ MASTER_PORT=63669
+ export PORT=63665
+ PORT=63665
+ ARGS=("$@")
+ [[ 5 -gt 0 ]]
+ case "$1" in
+ shift
+ [[ 4 -gt 0 ]]
+ case "$1" in
+ shift
+ [[ 3 -gt 0 ]]
+ case "$1" in
+ shift
+ [[ 2 -gt 0 ]]
+ case "$1" in
+ shift
+ [[ 1 -gt 0 ]]
+ case "$1" in
+ shift
+ [[ 0 -gt 0 ]]
GPUS: 8
+ echo 'GPUS: 8'
+ [[ /mnt/petrelfs/wangweiyun/workspace_zyc/VLM-Dev/work_dirs/InternVL2-2B == */ ]]
+ '[' vqa-docvqa-val == mme ']'
+ '[' vqa-docvqa-val == caption ']'
+ '[' vqa-docvqa-val == caption-coco ']'
+ '[' vqa-docvqa-val == caption-flickr30k ']'
+ '[' vqa-docvqa-val == caption-nocaps ']'
+ '[' vqa-docvqa-val == vqa ']'
+ '[' vqa-docvqa-val == vqa-okvqa-val ']'
+ '[' vqa-docvqa-val == vqa-textvqa-val ']'
+ '[' vqa-docvqa-val == vqa-textvqa-val-ocr ']'
+ '[' vqa-docvqa-val == vqa-vizwiz-val ']'
+ '[' vqa-docvqa-val == vqa-vizwiz-test ']'
+ '[' vqa-docvqa-val == vqa-vqav2-testdev ']'
+ '[' vqa-docvqa-val == vqa-ai2d-test ']'
+ '[' vqa-docvqa-val == vqa-vqav2-val ']'
+ '[' vqa-docvqa-val == vqa-gqa-testdev ']'
+ '[' vqa-docvqa-val == vqa-docvqa-val ']'
+ torchrun --nnodes=1 --node_rank=0 --master_addr=127.0.0.1 --nproc_per_node=8 --master_port=63669 eval/vqa/evaluate_vqa.py --checkpoint /mnt/petrelfs/wangweiyun/workspace_zyc/VLM-Dev/work_dirs/InternVL2-2B --datasets docvqa_val --dynamic --max-num 18
[2024-08-07 21:51:59,794] torch.distributed.run: [WARNING] 
[2024-08-07 21:51:59,794] torch.distributed.run: [WARNING] *****************************************
[2024-08-07 21:51:59,794] torch.distributed.run: [WARNING] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
[2024-08-07 21:51:59,794] torch.distributed.run: [WARNING] *****************************************
datasets:datasets:  ['docvqa_val']['docvqa_val']

datasets: datasets:['docvqa_val'] 
['docvqa_val']
datasets:datasets:  ['docvqa_val']
['docvqa_val']
datasets: ['docvqa_val']
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
datasets: ['docvqa_val']
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
[test] total_params: 2.205754368B, use num_beams: 1
[test] image_size: 448
[test] template: internlm2-chat
[test] dynamic_image_size: True
[test] use_thumbnail: True
[test] total_params: 2.205754368B, use num_beams: 1
[test] image_size: 448
[test] template: internlm2-chat
[test] dynamic_image_size: True
[test] use_thumbnail: True
[test] total_params: 2.205754368B, use num_beams: 1
[test] image_size: 448
[test] template: internlm2-chat
[test] dynamic_image_size: True
[test] use_thumbnail: True
[test] total_params: 2.205754368B, use num_beams: 1
[test] image_size: 448
[test] template: internlm2-chat
[test] dynamic_image_size: True
[test] use_thumbnail: True
[test] total_params: 2.205754368B, use num_beams: 1
[test] image_size: 448
[test] template: internlm2-chat
[test] dynamic_image_size: True
[test] use_thumbnail: True
[test] total_params: 2.205754368B, use num_beams: 1
[test] image_size: 448
[test] template: internlm2-chat
[test] dynamic_image_size: True
[test] use_thumbnail: True
[test] total_params: 2.205754368B, use num_beams: 1
[test] image_size: 448
[test] template: internlm2-chat
[test] dynamic_image_size: True
[test] use_thumbnail: True

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0it [00:00, ?it/s]/mnt/petrelfs/wangweiyun/miniconda3/envs/internvl/lib/python3.10/site-packages/transformers/generation/configuration_utils.py:392: UserWarning: `do_sample` is set to `False`. However, `temperature` is set to `0.0` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`.
  warnings.warn(
/mnt/petrelfs/wangweiyun/miniconda3/envs/internvl/lib/python3.10/site-packages/transformers/generation/configuration_utils.py:392: UserWarning: `do_sample` is set to `False`. However, `temperature` is set to `0.0` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`.
  warnings.warn(
[test] total_params: 2.205754368B, use num_beams: 1
[test] image_size: 448
[test] template: internlm2-chat
[test] dynamic_image_size: True
[test] use_thumbnail: True

0it [00:00, ?it/s]/mnt/petrelfs/wangweiyun/miniconda3/envs/internvl/lib/python3.10/site-packages/transformers/generation/configuration_utils.py:392: UserWarning: `do_sample` is set to `False`. However, `temperature` is set to `0.0` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`.
  warnings.warn(
/mnt/petrelfs/wangweiyun/miniconda3/envs/internvl/lib/python3.10/site-packages/transformers/generation/configuration_utils.py:392: UserWarning: `do_sample` is set to `False`. However, `temperature` is set to `0.0` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`.
  warnings.warn(
/mnt/petrelfs/wangweiyun/miniconda3/envs/internvl/lib/python3.10/site-packages/transformers/generation/configuration_utils.py:392: UserWarning: `do_sample` is set to `False`. However, `temperature` is set to `0.0` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`.
  warnings.warn(
/mnt/petrelfs/wangweiyun/miniconda3/envs/internvl/lib/python3.10/site-packages/transformers/generation/configuration_utils.py:392: UserWarning: `do_sample` is set to `False`. However, `temperature` is set to `0.0` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`.
  warnings.warn(
/mnt/petrelfs/wangweiyun/miniconda3/envs/internvl/lib/python3.10/site-packages/transformers/generation/configuration_utils.py:392: UserWarning: `do_sample` is set to `False`. However, `temperature` is set to `0.0` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`.
  warnings.warn(

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  warnings.warn(

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Evaluating docvqa_val ...
Results saved to results/docvqa_val_240807215527.json
python eval/vqa/infographicsvqa_eval.py -g data/docvqa/val/val_v1.0.json -s results/docvqa_val_240807215527.json

Overall ANLS: 0.8587
write results to file results/work_dirs_InternVL2-2B.txt
write results to file results/work_dirs_InternVL2-2B.txt
write results to file results/work_dirs_InternVL2-2B.txtwrite results to file results/work_dirs_InternVL2-2B.txt

write results to file results/work_dirs_InternVL2-2B.txt
write results to file results/work_dirs_InternVL2-2B.txt
write results to file results/work_dirs_InternVL2-2B.txt
write results to file results/work_dirs_InternVL2-2B.txt
+ '[' vqa-docvqa-val == vqa-docvqa-test ']'
+ '[' vqa-docvqa-val == vqa-chartqa-test ']'
+ '[' vqa-docvqa-val == vqa-infovqa-val ']'
+ '[' vqa-docvqa-val == vqa-infovqa-test ']'
+ '[' vqa-docvqa-val == vqa-chartqa-test-human ']'
+ '[' vqa-docvqa-val == vqa-chartqa-test-augmented ']'
+ '[' vqa-docvqa-val == vqa-ocrvqa-val ']'
+ '[' vqa-docvqa-val == vqa-ocrvqa-test ']'
+ '[' vqa-docvqa-val == refcoco ']'
+ '[' vqa-docvqa-val == refcoco-val ']'
+ '[' vqa-docvqa-val == llava-bench ']'
+ '[' vqa-docvqa-val == pope ']'
+ '[' vqa-docvqa-val == tiny_lvlm ']'
+ '[' vqa-docvqa-val == mmvet ']'
+ '[' vqa-docvqa-val == cmmmu ']'
+ '[' vqa-docvqa-val == mmbench-dev-en ']'
+ '[' vqa-docvqa-val == mmbench-dev-cn ']'
+ '[' vqa-docvqa-val == mmbench-test-en ']'
+ '[' vqa-docvqa-val == mmbench-test-cn ']'
+ '[' vqa-docvqa-val == ccbench-dev ']'
+ '[' vqa-docvqa-val == scienceqa ']'
+ '[' vqa-docvqa-val == mmmu-dev ']'
+ '[' vqa-docvqa-val == mmmu-val ']'
+ '[' vqa-docvqa-val == mmmu-test ']'
+ '[' vqa-docvqa-val == mmmu-dev-cot ']'
+ '[' vqa-docvqa-val == mmmu-val-cot ']'
+ '[' vqa-docvqa-val == mmmu-test-cot ']'
+ '[' vqa-docvqa-val == mmvp ']'
+ '[' vqa-docvqa-val == mathvista-testmini ']'
+ '[' vqa-docvqa-val == mathvista-test ']'
+ '[' vqa-docvqa-val == seed ']'
+ '[' vqa-docvqa-val == mvbench ']'