pope.log

+ CHECKPOINT=work_dirs/InternVL2-2B
+ DATASET=pope
++ 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 == */ ]]
+ '[' pope == mme ']'
+ '[' pope == caption ']'
+ '[' pope == caption-coco ']'
+ '[' pope == caption-flickr30k ']'
+ '[' pope == caption-nocaps ']'
+ '[' pope == vqa ']'
+ '[' pope == vqa-okvqa-val ']'
+ '[' pope == vqa-textvqa-val ']'
+ '[' pope == vqa-textvqa-val-ocr ']'
+ '[' pope == vqa-vizwiz-val ']'
+ '[' pope == vqa-vizwiz-test ']'
+ '[' pope == vqa-vqav2-testdev ']'
+ '[' pope == vqa-ai2d-test ']'
+ '[' pope == vqa-vqav2-val ']'
+ '[' pope == vqa-gqa-testdev ']'
+ '[' pope == vqa-docvqa-val ']'
+ '[' pope == vqa-docvqa-test ']'
+ '[' pope == vqa-chartqa-test ']'
+ '[' pope == vqa-infovqa-val ']'
+ '[' pope == vqa-infovqa-test ']'
+ '[' pope == vqa-chartqa-test-human ']'
+ '[' pope == vqa-chartqa-test-augmented ']'
+ '[' pope == vqa-ocrvqa-val ']'
+ '[' pope == vqa-ocrvqa-test ']'
+ '[' pope == refcoco ']'
+ '[' pope == refcoco-val ']'
+ '[' pope == llava-bench ']'
+ '[' pope == pope ']'
+ torchrun --nnodes=1 --node_rank=0 --master_addr=127.0.0.1 --nproc_per_node=8 --master_port=63669 eval/pope/evaluate_pope.py --checkpoint /mnt/petrelfs/wangweiyun/workspace_zyc/VLM-Dev/work_dirs/InternVL2-2B --datasets pope --dynamic --max-num 6
[2024-08-07 21:56:11,857] torch.distributed.run: [WARNING] 
[2024-08-07 21:56:11,857] torch.distributed.run: [WARNING] *****************************************
[2024-08-07 21:56:11,857] 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 21:56:11,857] torch.distributed.run: [WARNING] *****************************************
datasets: ['pope']
datasets: ['pope']
datasets: ['pope']
datasets: ['pope']
datasets: datasets:['pope']
 ['pope']
datasets: ['pope']
datasets: ['pope']
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.
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] total_params: 2.205754368B, use num_beams: 1[test] image_size: 448

[test] image_size: 448[test] template: internlm2-chat

[test] dynamic_image_size: True
[test] template: internlm2-chat[test] use_thumbnail: True

[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(
/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(
/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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Evaluating pope ...
Results saved to results/pope_240807215853.json
python eval/pope/eval_pope.py --annotation-dir ./data/pope/coco --question-file ./data/pope/llava_pope_test.jsonl --result-file results/pope_240807215853.json
Category: random, # samples: 2910
TP	FP	TN	FN	
1255	38	1372	245
Accuracy: 0.9027491408934708
Precision: 0.9706109822119103
Recall: 0.8366666666666667
F1 score: 0.8986752595775153
Yes ratio: 0.44432989690721647
0.899, 0.903, 0.971, 0.837, 0.444
====================================
Category: popular, # samples: 3000
TP	FP	TN	FN	
1255	88	1412	245
Accuracy: 0.889
Precision: 0.9344750558451228
Recall: 0.8366666666666667
F1 score: 0.8828702075272599
Yes ratio: 0.44766666666666666
0.883, 0.889, 0.934, 0.837, 0.448
====================================
Category: adversarial, # samples: 3000
TP	FP	TN	FN	
1255	137	1363	245
Accuracy: 0.8726666666666667
Precision: 0.9015804597701149
Recall: 0.8366666666666667
F1 score: 0.867911479944675
Yes ratio: 0.464
0.868, 0.873, 0.902, 0.837, 0.464
====================================
+ '[' pope == tiny_lvlm ']'
+ '[' pope == mmvet ']'
+ '[' pope == cmmmu ']'
+ '[' pope == mmbench-dev-en ']'
+ '[' pope == mmbench-dev-cn ']'
+ '[' pope == mmbench-test-en ']'
+ '[' pope == mmbench-test-cn ']'
+ '[' pope == ccbench-dev ']'
+ '[' pope == scienceqa ']'
+ '[' pope == mmmu-dev ']'
+ '[' pope == mmmu-val ']'
+ '[' pope == mmmu-test ']'
+ '[' pope == mmmu-dev-cot ']'
+ '[' pope == mmmu-val-cot ']'
+ '[' pope == mmmu-test-cot ']'
+ '[' pope == mmvp ']'
+ '[' pope == mathvista-testmini ']'
+ '[' pope == mathvista-test ']'
+ '[' pope == seed ']'
+ '[' pope == mvbench ']'