caption-coco.log

+ CHECKPOINT=work_dirs/InternVL2-2B
+ DATASET=caption-coco
++ 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 ]]
+ echo 'GPUS: 8'
GPUS: 8
+ [[ /mnt/petrelfs/wangweiyun/workspace_zyc/VLM-Dev/work_dirs/InternVL2-2B == */ ]]
+ '[' caption-coco == mme ']'
+ '[' caption-coco == caption ']'
+ '[' caption-coco == caption-coco ']'
+ torchrun --nnodes=1 --node_rank=0 --master_addr=127.0.0.1 --nproc_per_node=8 --master_port=63669 eval/caption/evaluate_caption.py --checkpoint /mnt/petrelfs/wangweiyun/workspace_zyc/VLM-Dev/work_dirs/InternVL2-2B --datasets coco --dynamic --max-num 6
[2024-08-07 21:49:34,876] torch.distributed.run: [WARNING] 
[2024-08-07 21:49:34,876] torch.distributed.run: [WARNING] *****************************************
[2024-08-07 21:49:34,876] 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 21:49:34,876] torch.distributed.run: [WARNING] *****************************************
datasets: ['coco']
datasets: ['coco']
datasets: ['coco']
datasets: ['coco']
datasets: ['coco']
datasets: ['coco']
datasets: ['coco']
datasets: ['coco']
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] 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] image_size: 448
[test] image_size: 448
[test] template: internlm2-chat[test] template: internlm2-chat
[test] template: internlm2-chat

[test] template: internlm2-chat
[test] dynamic_image_size: True[test] dynamic_image_size: True[test] dynamic_image_size: True[test] total_params: 2.205754368B, use num_beams: 1


[test] dynamic_image_size: True[test] use_thumbnail: True
[test] use_thumbnail: True[test] use_thumbnail: True


[test] use_thumbnail: True
[test] max_num: 6[test] max_num: 6
[test] max_num: 6
[test] image_size: 448

[test] max_num: 6

prompt:prompt:prompt:[test] template: internlm2-chat
prompt:   Provide a one-sentence caption for the provided image.Provide a one-sentence caption for the provided image.Provide a one-sentence caption for the provided image.
 
[test] dynamic_image_size: True
Provide a one-sentence caption for the provided image.

[test] use_thumbnail: True
[test] max_num: 6
prompt: Provide a one-sentence caption for the provided image.
[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] max_num: 6
prompt: Provide a one-sentence caption for the provided image.
[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] max_num: 6
prompt: Provide a one-sentence caption for the provided image.
[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] max_num: 6
prompt: Provide a one-sentence caption for the provided image.

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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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Average caption length: 13.1872
Average caption length: 13.1872
Evaluating coco ...
Average caption length: 13.1872
Average caption length: 13.1872
Average caption length: 13.1872
Average caption length: 13.1872
Average caption length: 13.1872
Average caption length: 13.1872
loading annotations into memory...
Done (t=0.03s)
creating index...
index created!
Loading and preparing results...
DONE (t=0.01s)
creating index...
index created!
tokenization...
PTBTokenizer tokenized 307085 tokens at 1170042.17 tokens per second.
PTBTokenizer tokenized 78074 tokens at 497620.65 tokens per second.
setting up scorers...
computing Bleu score...
{'testlen': 65985, 'reflen': 57044, 'guess': [65985, 60985, 55985, 50985], 'correct': [42279, 20502, 8630, 3287]}
ratio: 1.156738657878109
Bleu_1: 0.641
Bleu_2: 0.464
Bleu_3: 0.321
Bleu_4: 0.215
computing METEOR score...
METEOR: 0.267
computing Rouge score...
ROUGE_L: 0.504
computing CIDEr score...
CIDEr: 0.795
dict_items([('Bleu_1', 0.6407365310297698), ('Bleu_2', 0.46411578916978935), ('Bleu_3', 0.3214133662212368), ('Bleu_4', 0.2150984446475034), ('METEOR', 0.26720044446427915), ('ROUGE_L', 0.5040438948560755), ('CIDEr', 0.7947660068304804)])
write results to file results/work_dirs_InternVL2-2B.txt
['/mnt/petrelfs/wangweiyun/workspace_zyc/VLM-Dev/work_dirs/InternVL2-2B', 'coco', 13.1872, dict_items([('Bleu_1', 0.6407365310297698), ('Bleu_2', 0.46411578916978935), ('Bleu_3', 0.3214133662212368), ('Bleu_4', 0.2150984446475034), ('METEOR', 0.26720044446427915), ('ROUGE_L', 0.5040438948560755), ('CIDEr', 0.7947660068304804)])]
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.txtwrite 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
+ '[' caption-coco == caption-flickr30k ']'
+ '[' caption-coco == caption-nocaps ']'
+ '[' caption-coco == vqa ']'
+ '[' caption-coco == vqa-okvqa-val ']'
+ '[' caption-coco == vqa-textvqa-val ']'
+ '[' caption-coco == vqa-textvqa-val-ocr ']'
+ '[' caption-coco == vqa-vizwiz-val ']'
+ '[' caption-coco == vqa-vizwiz-test ']'
+ '[' caption-coco == vqa-vqav2-testdev ']'
+ '[' caption-coco == vqa-ai2d-test ']'
+ '[' caption-coco == vqa-vqav2-val ']'
+ '[' caption-coco == vqa-gqa-testdev ']'
+ '[' caption-coco == vqa-docvqa-val ']'
+ '[' caption-coco == vqa-docvqa-test ']'
+ '[' caption-coco == vqa-chartqa-test ']'
+ '[' caption-coco == vqa-infovqa-val ']'
+ '[' caption-coco == vqa-infovqa-test ']'
+ '[' caption-coco == vqa-chartqa-test-human ']'
+ '[' caption-coco == vqa-chartqa-test-augmented ']'
+ '[' caption-coco == vqa-ocrvqa-val ']'
+ '[' caption-coco == vqa-ocrvqa-test ']'
+ '[' caption-coco == refcoco ']'
+ '[' caption-coco == refcoco-val ']'
+ '[' caption-coco == llava-bench ']'
+ '[' caption-coco == pope ']'
+ '[' caption-coco == tiny_lvlm ']'
+ '[' caption-coco == mmvet ']'
+ '[' caption-coco == cmmmu ']'
+ '[' caption-coco == mmbench-dev-en ']'
+ '[' caption-coco == mmbench-dev-cn ']'
+ '[' caption-coco == mmbench-test-en ']'
+ '[' caption-coco == mmbench-test-cn ']'
+ '[' caption-coco == ccbench-dev ']'
+ '[' caption-coco == scienceqa ']'
+ '[' caption-coco == mmmu-dev ']'
+ '[' caption-coco == mmmu-val ']'
+ '[' caption-coco == mmmu-test ']'
+ '[' caption-coco == mmmu-dev-cot ']'
+ '[' caption-coco == mmmu-val-cot ']'
+ '[' caption-coco == mmmu-test-cot ']'
+ '[' caption-coco == mmvp ']'
+ '[' caption-coco == mathvista-testmini ']'
+ '[' caption-coco == mathvista-test ']'
+ '[' caption-coco == seed ']'
+ '[' caption-coco == mvbench ']'