Delete mmmu-val.log

mmmu-val.log

@@ -1,1143 +0,0 @@
-+ CHECKPOINT=work_dirs/InternVL2-2B
-+ DATASET=mmmu-val
-++ 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 == */ ]]
-+ '[' mmmu-val == mme ']'
-+ '[' mmmu-val == caption ']'
-+ '[' mmmu-val == caption-coco ']'
-+ '[' mmmu-val == caption-flickr30k ']'
-+ '[' mmmu-val == caption-nocaps ']'
-+ '[' mmmu-val == vqa ']'
-+ '[' mmmu-val == vqa-okvqa-val ']'
-+ '[' mmmu-val == vqa-textvqa-val ']'
-+ '[' mmmu-val == vqa-textvqa-val-ocr ']'
-+ '[' mmmu-val == vqa-vizwiz-val ']'
-+ '[' mmmu-val == vqa-vizwiz-test ']'
-+ '[' mmmu-val == vqa-vqav2-testdev ']'
-+ '[' mmmu-val == vqa-ai2d-test ']'
-+ '[' mmmu-val == vqa-vqav2-val ']'
-+ '[' mmmu-val == vqa-gqa-testdev ']'
-+ '[' mmmu-val == vqa-docvqa-val ']'
-+ '[' mmmu-val == vqa-docvqa-test ']'
-+ '[' mmmu-val == vqa-chartqa-test ']'
-+ '[' mmmu-val == vqa-infovqa-val ']'
-+ '[' mmmu-val == vqa-infovqa-test ']'
-+ '[' mmmu-val == vqa-chartqa-test-human ']'
-+ '[' mmmu-val == vqa-chartqa-test-augmented ']'
-+ '[' mmmu-val == vqa-ocrvqa-val ']'
-+ '[' mmmu-val == vqa-ocrvqa-test ']'
-+ '[' mmmu-val == refcoco ']'
-+ '[' mmmu-val == refcoco-val ']'
-+ '[' mmmu-val == llava-bench ']'
-+ '[' mmmu-val == pope ']'
-+ '[' mmmu-val == tiny_lvlm ']'
-+ '[' mmmu-val == mmvet ']'
-+ '[' mmmu-val == cmmmu ']'
-+ '[' mmmu-val == mmbench-dev-en ']'
-+ '[' mmmu-val == mmbench-dev-cn ']'
-+ '[' mmmu-val == mmbench-test-en ']'
-+ '[' mmmu-val == mmbench-test-cn ']'
-+ '[' mmmu-val == ccbench-dev ']'
-+ '[' mmmu-val == scienceqa ']'
-+ '[' mmmu-val == mmmu-dev ']'
-+ '[' mmmu-val == mmmu-val ']'
-+ torchrun --nnodes=1 --node_rank=0 --master_addr=127.0.0.1 --nproc_per_node=8 --master_port=63669 eval/mmmu/evaluate_mmmu.py --checkpoint /mnt/petrelfs/wangweiyun/workspace_zyc/VLM-Dev/work_dirs/InternVL2-2B --datasets MMMU_validation --dynamic --max-num 6
-[2024-08-07 21:56:26,513] torch.distributed.run: [WARNING] 
-[2024-08-07 21:56:26,513] torch.distributed.run: [WARNING] *****************************************
-[2024-08-07 21:56:26,513] 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 21:56:26,513] torch.distributed.run: [WARNING] *****************************************
-datasets: ['MMMU_validation']
-datasets: ['MMMU_validation']
-datasets: ['MMMU_validation']
-datasets: ['MMMU_validation']
-datasets: ['MMMU_validation']
-datasets: ['MMMU_validation']
-datasets: ['MMMU_validation']
-datasets: ['MMMU_validation']
-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] max_num: 6
-[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
-[test] total_params: 2.205754368B, use num_beams: 1
-[test] image_size: 448
-[test] template: internlm2-chat
-[test] dynamic_image_size: True[test] total_params: 2.205754368B, use num_beams: 1
-[test] use_thumbnail: True
-
-[test] max_num: 6[test] image_size: 448
-
-[test] template: internlm2-chat
-[test] dynamic_image_size: True
-[test] use_thumbnail: True
-[test] max_num: 6
-[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
-[test] total_params: 2.205754368B, use num_beams: 1
-[test] image_size: 448
-[test] total_params: 2.205754368B, use num_beams: 1
-[test] image_size: 448
-[test] template: internlm2-chat
-[test] template: internlm2-chat
-[test] dynamic_image_size: True
-[test] use_thumbnail: True
-[test] max_num: 6
-[test] dynamic_image_size: True
-[test] use_thumbnail: True
-[test] max_num: 6
-[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
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-/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`.
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-Evaluating MMMU_validation ...
-Results saved to results/MMMU_validation_240807220709.json
-Evaluating ...
-python eval/mmmu/main_eval_only.py --output_path results/MMMU_validation_240807220709.json --answer_path eval/mmmu/answer_dict_val.json
-Evaluating: Accounting
-Evaluating: Agriculture
-Evaluating: Architecture_and_Engineering
-Evaluating: Art
-Evaluating: Art_Theory
-Evaluating: Basic_Medical_Science
-Evaluating: Biology
-Evaluating: Chemistry
-Evaluating: Clinical_Medicine
-Evaluating: Computer_Science
-Evaluating: Design
-Evaluating: Diagnostics_and_Laboratory_Medicine
-Evaluating: Economics
-Evaluating: Electronics
-Evaluating: Energy_and_Power
-Evaluating: Finance
-Evaluating: Geography
-Evaluating: History
-Evaluating: Literature
-Evaluating: Manage
-Evaluating: Marketing
-Evaluating: Materials
-Evaluating: Math
-Evaluating: Mechanical_Engineering
-Evaluating: Music
-Evaluating: Pharmacy
-Evaluating: Physics
-Evaluating: Psychology
-Evaluating: Public_Health
-Evaluating: Sociology
-{'Overall-Art and Design':{'num': 120, 'acc': 0.408}, 'Art': {'num': 30, 'acc': 0.467}, 'Art_Theory': {'num': 30, 'acc': 0.433}, 'Design': {'num': 30, 'acc': 0.533}, 'Music': {'num': 30, 'acc': 0.2}, 
- 'Overall-Business': {'num': 150, 'acc': 0.347}, 'Accounting': {'num': 30, 'acc': 0.367}, 'Economics': {'num': 30, 'acc': 0.333}, 'Finance': {'num': 30, 'acc': 0.333}, 'Manage': {'num': 30, 'acc': 0.367}, 'Marketing': {'num': 30, 'acc': 0.333}, 
- 'Overall-Science': {'num': 150, 'acc': 0.227}, 'Biology': {'num': 30, 'acc': 0.267}, 'Chemistry': {'num': 30, 'acc': 0.1}, 'Geography': {'num': 30, 'acc': 0.167}, 'Math': {'num': 30, 'acc': 0.4}, 'Physics': {'num': 30, 'acc': 0.2}, 
- 'Overall-Health and Medicine': {'num': 150, 'acc': 0.367}, 'Basic_Medical_Science': {'num': 30, 'acc': 0.433}, 'Clinical_Medicine': {'num': 30, 'acc': 0.4}, 'Diagnostics_and_Laboratory_Medicine': {'num': 30, 'acc': 0.4}, 'Pharmacy': {'num': 30, 'acc': 0.267}, 'Public_Health': {'num': 30, 'acc': 0.333}, 
- 'Overall-Humanities and Social Science': {'num': 120, 'acc': 0.492}, 'History': {'num': 30, 'acc': 0.367}, 'Literature': {'num': 30, 'acc': 0.767}, 'Sociology': {'num': 30, 'acc': 0.467}, 'Psychology': {'num': 30, 'acc': 0.367}, 
- 'Overall-Tech and Engineering': {'num': 210, 'acc': 0.305}, 'Agriculture': {'num': 30, 'acc': 0.433}, 'Architecture_and_Engineering': {'num': 30, 'acc': 0.233}, 'Computer_Science': {'num': 30, 'acc': 0.233}, 'Electronics': {'num': 30, 'acc': 0.4}, 'Energy_and_Power': {'num': 30, 'acc': 0.267}, 'Materials': {'num': 30, 'acc': 0.367}, 'Mechanical_Engineering': {'num': 30, 'acc': 0.2}, 'Overall': {'num': 900, 'acc': 0.348}}
-Results saved to results/MMMU_validation_240807220709.jsonl
-+ '[' mmmu-val == mmmu-test ']'
-+ '[' mmmu-val == mmmu-dev-cot ']'
-+ '[' mmmu-val == mmmu-val-cot ']'
-+ '[' mmmu-val == mmmu-test-cot ']'
-+ '[' mmmu-val == mmvp ']'
-+ '[' mmmu-val == mathvista-testmini ']'
-+ '[' mmmu-val == mathvista-test ']'
-+ '[' mmmu-val == seed ']'
-+ '[' mmmu-val == mvbench ']'