OpenGVLab
/

InternVL2-2B

@@ -1,183 +0,0 @@
-+ CHECKPOINT=work_dirs/InternVL2-2B
-+ DATASET=vqa-ai2d-test
-++ 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 == */ ]]
-+ '[' vqa-ai2d-test == mme ']'
-+ '[' vqa-ai2d-test == caption ']'
-+ '[' vqa-ai2d-test == caption-coco ']'
-+ '[' vqa-ai2d-test == caption-flickr30k ']'
-+ '[' vqa-ai2d-test == caption-nocaps ']'
-+ '[' vqa-ai2d-test == vqa ']'
-+ '[' vqa-ai2d-test == vqa-okvqa-val ']'
-+ '[' vqa-ai2d-test == vqa-textvqa-val ']'
-+ '[' vqa-ai2d-test == vqa-textvqa-val-ocr ']'
-+ '[' vqa-ai2d-test == vqa-vizwiz-val ']'
-+ '[' vqa-ai2d-test == vqa-vizwiz-test ']'
-+ '[' vqa-ai2d-test == vqa-vqav2-testdev ']'
-+ '[' vqa-ai2d-test == vqa-ai2d-test ']'
-+ 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 ai2diagram_test --dynamic --max-num 6
-[2024-08-07 21:55:03,764] torch.distributed.run: [WARNING]
-[2024-08-07 21:55:03,764] torch.distributed.run: [WARNING] *****************************************
-[2024-08-07 21:55:03,764] 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 21:55:03,764] torch.distributed.run: [WARNING] *****************************************
-datasets: ['ai2diagram_test']
-datasets: ['ai2diagram_test']
-datasets: ['ai2diagram_test']
-datasets: ['ai2diagram_test']
-datasets: ['ai2diagram_test']
-datasets: ['ai2diagram_test']
-datasets: ['ai2diagram_test']
-datasets: ['ai2diagram_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] 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] total_params: 2.205754368B, use num_beams: 1[test] template: internlm2-chat
-[test] image_size: 448[test] total_params: 2.205754368B, use num_beams: 1
-[test] dynamic_image_size: True
-[test] use_thumbnail: True
-[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
-  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(
-Evaluating ai2diagram_test ...
-Results saved to results/ai2diagram_test_240807215603.json
-ai2diagram_test {'accuracy': 0.7412564766839378}
-write results to file results/work_dirs_InternVL2-2B.txt
-['/mnt/petrelfs/wangweiyun/workspace_zyc/VLM-Dev/work_dirs/InternVL2-2B', 'ai2diagram_test', {'accuracy': 0.7412564766839378}]
-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
-+ '[' vqa-ai2d-test == vqa-vqav2-val ']'
-+ '[' vqa-ai2d-test == vqa-gqa-testdev ']'
-+ '[' vqa-ai2d-test == vqa-docvqa-val ']'
-+ '[' vqa-ai2d-test == vqa-docvqa-test ']'
-+ '[' vqa-ai2d-test == vqa-chartqa-test ']'
-+ '[' vqa-ai2d-test == vqa-infovqa-val ']'
-+ '[' vqa-ai2d-test == vqa-infovqa-test ']'
-+ '[' vqa-ai2d-test == vqa-chartqa-test-human ']'
-+ '[' vqa-ai2d-test == vqa-chartqa-test-augmented ']'
-+ '[' vqa-ai2d-test == vqa-ocrvqa-val ']'
-+ '[' vqa-ai2d-test == vqa-ocrvqa-test ']'
-+ '[' vqa-ai2d-test == refcoco ']'
-+ '[' vqa-ai2d-test == refcoco-val ']'
-+ '[' vqa-ai2d-test == llava-bench ']'
-+ '[' vqa-ai2d-test == pope ']'
-+ '[' vqa-ai2d-test == tiny_lvlm ']'
-+ '[' vqa-ai2d-test == mmvet ']'
-+ '[' vqa-ai2d-test == cmmmu ']'
-+ '[' vqa-ai2d-test == mmbench-dev-en ']'
-+ '[' vqa-ai2d-test == mmbench-dev-cn ']'
-+ '[' vqa-ai2d-test == mmbench-test-en ']'
-+ '[' vqa-ai2d-test == mmbench-test-cn ']'
-+ '[' vqa-ai2d-test == ccbench-dev ']'
-+ '[' vqa-ai2d-test == scienceqa ']'
-+ '[' vqa-ai2d-test == mmmu-dev ']'
-+ '[' vqa-ai2d-test == mmmu-val ']'
-+ '[' vqa-ai2d-test == mmmu-test ']'
-+ '[' vqa-ai2d-test == mmmu-dev-cot ']'
-+ '[' vqa-ai2d-test == mmmu-val-cot ']'
-+ '[' vqa-ai2d-test == mmmu-test-cot ']'
-+ '[' vqa-ai2d-test == mmvp ']'
-+ '[' vqa-ai2d-test == mathvista-testmini ']'
-+ '[' vqa-ai2d-test == mathvista-test ']'
-+ '[' vqa-ai2d-test == seed ']'
-+ '[' vqa-ai2d-test == mvbench ']'