InternVL2-2B / scienceqa.log
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+ CHECKPOINT=work_dirs/InternVL2-2B
+ DATASET=scienceqa
++ 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 == */ ]]
+ '[' scienceqa == mme ']'
+ '[' scienceqa == caption ']'
+ '[' scienceqa == caption-coco ']'
+ '[' scienceqa == caption-flickr30k ']'
+ '[' scienceqa == caption-nocaps ']'
+ '[' scienceqa == vqa ']'
+ '[' scienceqa == vqa-okvqa-val ']'
+ '[' scienceqa == vqa-textvqa-val ']'
+ '[' scienceqa == vqa-textvqa-val-ocr ']'
+ '[' scienceqa == vqa-vizwiz-val ']'
+ '[' scienceqa == vqa-vizwiz-test ']'
+ '[' scienceqa == vqa-vqav2-testdev ']'
+ '[' scienceqa == vqa-ai2d-test ']'
+ '[' scienceqa == vqa-vqav2-val ']'
+ '[' scienceqa == vqa-gqa-testdev ']'
+ '[' scienceqa == vqa-docvqa-val ']'
+ '[' scienceqa == vqa-docvqa-test ']'
+ '[' scienceqa == vqa-chartqa-test ']'
+ '[' scienceqa == vqa-infovqa-val ']'
+ '[' scienceqa == vqa-infovqa-test ']'
+ '[' scienceqa == vqa-chartqa-test-human ']'
+ '[' scienceqa == vqa-chartqa-test-augmented ']'
+ '[' scienceqa == vqa-ocrvqa-val ']'
+ '[' scienceqa == vqa-ocrvqa-test ']'
+ '[' scienceqa == refcoco ']'
+ '[' scienceqa == refcoco-val ']'
+ '[' scienceqa == llava-bench ']'
+ '[' scienceqa == pope ']'
+ '[' scienceqa == tiny_lvlm ']'
+ '[' scienceqa == mmvet ']'
+ '[' scienceqa == cmmmu ']'
+ '[' scienceqa == mmbench-dev-en ']'
+ '[' scienceqa == mmbench-dev-cn ']'
+ '[' scienceqa == mmbench-test-en ']'
+ '[' scienceqa == mmbench-test-cn ']'
+ '[' scienceqa == ccbench-dev ']'
+ '[' scienceqa == scienceqa ']'
+ torchrun --nnodes=1 --node_rank=0 --master_addr=127.0.0.1 --nproc_per_node=8 --master_port=63669 eval/scienceqa/evaluate_scienceqa.py --checkpoint /mnt/petrelfs/wangweiyun/workspace_zyc/VLM-Dev/work_dirs/InternVL2-2B --datasets sqa_test --dynamic --max-num 6
[2024-08-07 21:55:38,022] torch.distributed.run: [WARNING]
[2024-08-07 21:55:38,022] torch.distributed.run: [WARNING] *****************************************
[2024-08-07 21:55:38,022] 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 21:55:38,022] torch.distributed.run: [WARNING] *****************************************
datasets: ['sqa_test']
datasets: ['sqa_test']
datasets: ['sqa_test']
datasets: ['sqa_test']
datasets: ['sqa_test']
datasets: ['sqa_test']
datasets: ['sqa_test']
datasets: ['sqa_test']
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] template: internlm2-chat
[test] dynamic_image_size: True[test] dynamic_image_size: True
[test] use_thumbnail: 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] total_params: 2.205754368B, use num_beams: 1
[test] image_size: 448
[test] image_size: 448
[test] template: internlm2-chat[test] template: internlm2-chat
[test] dynamic_image_size: True[test] dynamic_image_size: True
[test] use_thumbnail: 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
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. You should set `do_sample=True` or unset `temperature`.
warnings.warn(
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8.84it/s] 237it [00:25, 8.94it/s] 234it [00:25, 9.36it/s] 240it [00:25, 9.94it/s] 238it [00:25, 10.51it/s] 241it [00:25, 9.96it/s] 239it [00:25, 10.29it/s] 241it [00:25, 9.39it/s] 236it [00:25, 9.78it/s] 234it [00:25, 8.25it/s] 238it [00:25, 9.52it/s] 249it [00:25, 8.84it/s] 240it [00:25, 9.31it/s] 242it [00:25, 8.96it/s] 243it [00:25, 10.34it/s] 236it [00:25, 10.07it/s] 241it [00:25, 10.48it/s] 240it [00:25, 10.76it/s] 250it [00:25, 8.60it/s] 238it [00:26, 10.05it/s] 243it [00:26, 9.17it/s] 241it [00:26, 8.97it/s] 243it [00:26, 12.18it/s] 252it [00:26, 9.85it/s] 244it [00:26, 8.79it/s] 245it [00:26, 9.76it/s] 242it [00:26, 10.71it/s] 242it [00:26, 8.68it/s] 252it [00:26, 9.63it/s]
238it [00:26, 9.59it/s] 245it [00:26, 12.75it/s] 240it [00:26, 9.62it/s] 246it [00:26, 9.75it/s] 246it [00:26, 10.63it/s] 239it [00:26, 9.18it/s] 244it [00:26, 9.96it/s] 241it [00:26, 9.25it/s] 247it [00:26, 9.27it/s] 244it [00:26, 9.86it/s] 247it [00:26, 12.00it/s] 240it [00:26, 8.84it/s] 245it [00:26, 9.39it/s] 242it [00:26, 9.34it/s] 248it [00:26, 10.37it/s] 248it [00:26, 8.92it/s] 246it [00:26, 8.99it/s] 249it [00:26, 11.49it/s] 249it [00:26, 9.15it/s] 246it [00:26, 9.47it/s] 244it [00:26, 9.79it/s] 242it [00:26, 9.03it/s] 247it [00:26, 9.55it/s] 250it [00:26, 9.31it/s] 248it [00:26, 9.64it/s] 245it [00:26, 9.31it/s] 248it [00:26, 9.63it/s] 244it [00:26, 9.65it/s] 251it [00:26, 8.89it/s] 251it [00:26, 9.87it/s] 249it [00:26, 9.18it/s] 246it [00:26, 8.93it/s] 249it [00:26, 9.17it/s] 252it [00:26, 9.06it/s] 245it [00:26, 9.24it/s] 252it [00:26, 8.65it/s] 252it [00:27, 9.33it/s] 252it [00:26, 9.34it/s]
251it [00:27, 10.61it/s] 247it [00:27, 8.62it/s] 250it [00:27, 8.81it/s] 253it [00:27, 9.34it/s]
246it [00:27, 8.88it/s] 252it [00:27, 9.29it/s]
248it [00:27, 8.41it/s] 247it [00:27, 9.11it/s] 252it [00:27, 9.54it/s] 252it [00:27, 9.23it/s]
249it [00:27, 10.50it/s] 250it [00:27, 9.28it/s] 251it [00:27, 10.31it/s] 252it [00:27, 9.53it/s] 252it [00:27, 9.14it/s]
252it [00:27, 9.10it/s]
Evaluating sqa_test ...
Results saved to results/sqa_test_240807215618.jsonl
Acc@1: 0.9400099157164105
+ '[' scienceqa == mmmu-dev ']'
+ '[' scienceqa == mmmu-val ']'
+ '[' scienceqa == mmmu-test ']'
+ '[' scienceqa == mmmu-dev-cot ']'
+ '[' scienceqa == mmmu-val-cot ']'
+ '[' scienceqa == mmmu-test-cot ']'
+ '[' scienceqa == mmvp ']'
+ '[' scienceqa == mathvista-testmini ']'
+ '[' scienceqa == mathvista-test ']'
+ '[' scienceqa == seed ']'
+ '[' scienceqa == mvbench ']'