diff --git "a/caption-coco.log" "b/caption-coco.log" new file mode 100644--- /dev/null +++ "b/caption-coco.log" @@ -0,0 +1,231 @@ ++ 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. + 0it [00:00, ?it/s] 0it [00:00, ?it/s] 0it [00:00, ?it/s] 0it [00:00, ?it/s] 0it [00:00, ?it/s] 0it [00:00, ?it/s] 0it [00:00, ?it/s] 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. 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2.17it/s] 610it [04:29, 2.06it/s] 593it [04:29, 2.35it/s] 625it [04:29, 2.19it/s] 619it [04:29, 2.26it/s] 625it [04:29, 2.32it/s] + 623it [04:29, 2.20it/s] 603it [04:29, 2.14it/s] 615it [04:29, 2.08it/s] 609it [04:29, 2.37it/s] 594it [04:29, 2.37it/s] 611it [04:29, 1.88it/s] 620it [04:29, 2.08it/s] 616it [04:30, 2.03it/s] 624it [04:30, 1.93it/s] 604it [04:30, 1.93it/s] 610it [04:30, 2.00it/s] 595it [04:30, 2.18it/s] 621it [04:30, 2.21it/s] 617it [04:30, 2.18it/s] 625it [04:30, 2.12it/s] 625it [04:30, 2.31it/s] + 605it [04:30, 2.02it/s] 596it [04:30, 2.38it/s] 612it [04:30, 1.73it/s] 611it [04:30, 2.10it/s] 622it [04:30, 2.31it/s] 597it [04:30, 2.59it/s] 606it [04:30, 2.12it/s] 618it [04:30, 2.09it/s] 613it [04:31, 1.88it/s] 612it [04:31, 2.14it/s] 623it [04:31, 2.41it/s] 598it [04:31, 2.49it/s] 614it [04:31, 2.05it/s] 624it [04:31, 2.47it/s] 613it [04:31, 2.26it/s] 619it [04:31, 1.94it/s] 607it [04:31, 1.84it/s] 615it [04:31, 2.22it/s] 599it [04:31, 2.27it/s] 620it [04:31, 2.19it/s] 614it [04:32, 2.05it/s] 608it [04:32, 1.97it/s] 625it [04:32, 2.01it/s] 625it [04:32, 2.30it/s] + 600it [04:32, 2.31it/s] 621it [04:32, 2.18it/s] 616it [04:32, 2.05it/s] 615it [04:32, 2.07it/s] 609it [04:32, 1.97it/s] 601it [04:32, 2.30it/s] 622it [04:32, 2.09it/s] 617it [04:32, 1.97it/s] 616it [04:33, 2.12it/s] 610it [04:33, 1.89it/s] 618it [04:33, 2.26it/s] 623it [04:33, 2.26it/s] 602it [04:33, 2.16it/s] 611it [04:33, 2.19it/s] 624it [04:33, 2.30it/s] 619it [04:33, 2.14it/s] 617it [04:33, 1.80it/s] 603it [04:33, 2.05it/s] 612it [04:34, 2.11it/s] 625it [04:34, 2.26it/s] 625it [04:34, 2.28it/s] + 618it [04:34, 1.94it/s] 620it [04:34, 2.17it/s] 604it [04:34, 2.17it/s] 613it [04:34, 2.27it/s] 619it [04:34, 2.16it/s] 605it [04:34, 2.20it/s] 621it [04:34, 2.10it/s] 614it [04:34, 2.22it/s] 620it [04:34, 2.19it/s] 615it [04:35, 2.52it/s] 622it [04:35, 2.06it/s] 606it [04:35, 1.96it/s] 621it [04:35, 2.31it/s] 616it [04:35, 2.31it/s] 623it [04:35, 2.11it/s] 607it [04:35, 2.07it/s] 622it [04:35, 2.40it/s] 624it [04:36, 2.18it/s] 617it [04:36, 2.25it/s] 608it [04:36, 2.10it/s] 623it [04:36, 2.18it/s] 625it [04:36, 2.28it/s] 618it [04:36, 2.27it/s] 625it [04:36, 2.26it/s] + 624it [04:36, 2.27it/s] 609it [04:36, 1.96it/s] 619it [04:37, 2.19it/s] 610it [04:37, 2.19it/s] 625it [04:37, 2.26it/s] 625it [04:37, 2.25it/s] + 611it [04:37, 2.24it/s] 620it [04:37, 2.11it/s] 612it [04:37, 2.22it/s] 621it [04:38, 2.08it/s] 613it [04:38, 2.33it/s] 622it [04:38, 2.27it/s] 614it [04:38, 2.12it/s] 623it [04:39, 1.90it/s] 615it [04:39, 2.22it/s] 624it [04:39, 1.99it/s] 616it [04:39, 2.41it/s] 625it [04:39, 2.10it/s] 625it [04:40, 2.23it/s] + 617it [04:40, 2.33it/s] 618it [04:40, 2.31it/s] 619it [04:41, 2.30it/s] 620it [04:41, 2.26it/s] 621it [04:41, 2.30it/s] 622it [04:42, 2.47it/s] 623it [04:42, 2.34it/s] 624it [04:43, 2.13it/s] 625it [04:43, 2.33it/s] 625it [04:43, 2.20it/s] +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 ']'