In this tutorial, we will provide a detailed guide on how to evaluate InternVL-Chat-V1-5 using VLMEvalKit.
First of all, please follow this guide to install VLMEvalKit.
torchrun --nproc-per-node=8 run.py --data MMBench_DEV_EN --model InternVL-Chat-V1-5 --verbose
The result is:
2024-04-29 18:24:58,395 - Evaluation - INFO - split Overall ... spatial_relationship structuralized_imagetext_understanding
0 dev 0.808419 ... 0.422222 0.628205
torchrun --nproc-per-node=8 run.py --data MMBench_DEV_CN --model InternVL-Chat-V1-5 --verbose
The result is:
2024-04-29 18:26:05,209 - Evaluation - INFO - split Overall ... spatial_relationship structuralized_imagetext_understanding
0 dev 0.803265 ... 0.377778 0.615385
torchrun --nproc-per-node=8 run.py --data MMStar --model InternVL-Chat-V1-5 --verbose
The result is:
2024-04-29 18:21:56,491 - Evaluation - INFO - split Overall ... math science & technology
0 none 0.572667 ... 0.564 0.408
torchrun --nproc-per-node=8 run.py --data MME --model InternVL-Chat-V1-5 --verbose
The result is:
2024-04-29 18:42:43,864 - Evaluation - INFO - Score:
2024-04-29 18:42:43,864 - Evaluation - INFO - perception reasoning OCR ... posters scene text_translation
0 1641.915766 519.642857 147.5 ... 171.768707 156.5 185.0
torchrun --nproc-per-node=8 run.py --data SEEDBench_IMG --model InternVL-Chat-V1-5 --verbose
The result is:
2024-04-29 18:58:54,973 - Evaluation - INFO - Score:
2024-04-29 18:58:54,973 - Evaluation - INFO - split Overall ... Text Understanding Visual Reasoning
0 none 0.757167 ... 0.440476 0.806647
torchrun --nproc-per-node=8 run.py --data MMVet --model InternVL-Chat-V1-5 --verbose
The result is:
2024-04-29 18:32:38,748 - Evaluation - INFO - Score:
2024-04-29 18:32:38,748 - Evaluation - INFO - Category tot acc
0 rec 187 61.818182
1 ocr 108 68.981481
2 know 84 46.428571
3 gen 80 44.875000
4 spat 75 63.600000
5 math 26 62.307692
6 Overall 218 61.513761
Note that because the version of GPT used for scoring differs from the official server, the scores tested by VLMEvalKit will be slightly different.
torchrun --nproc-per-node=8 run.py --data MMMU_DEV_VAL --model InternVL-Chat-V1-5 --verbose
The result is:
2024-04-29 18:20:04,977 - Evaluation - INFO - split Overall ... Science Tech & Engineering
0 dev 0.48 ... 0.36 0.428571
1 validation 0.45 ... 0.38 0.371429
torchrun --nproc-per-node=8 run.py --data MathVista_MINI --model InternVL-Chat-V1-5 --verbose
The result is:
2024-04-29 18:39:25,736 - Evaluation - INFO - Task&Skill tot prefetch hit prefetch_rate acc
0 Overall 1000 545 521 54.500000 52.100000
1 scientific reasoning 122 89 70 72.950820 57.377049
2 textbook question answering 158 101 86 63.924051 54.430380
3 numeric commonsense 144 39 41 27.083333 28.472222
4 arithmetic reasoning 353 147 198 41.643059 56.090652
5 visual question answering 179 91 88 50.837989 49.162011
6 geometry reasoning 239 144 94 60.251046 39.330544
7 algebraic reasoning 281 170 109 60.498221 38.790036
8 geometry problem solving 208 135 79 64.903846 37.980769
9 math word problem 186 70 118 37.634409 63.440860
10 logical reasoning 37 18 5 48.648649 13.513514
11 figure question answering 269 148 150 55.018587 55.762082
12 statistical reasoning 301 143 196 47.508306 65.116279
Note that because the version of GPT used for answer extraction differs from the official code, the scores tested by VLMEvalKit will be slightly different.
torchrun --nproc-per-node=8 run.py --data ScienceQA_TEST --model InternVL-Chat-V1-5 --verbose
The result is:
2024-04-29 19:10:03,279 - Evaluation - INFO - Score:
2024-04-29 19:10:03,279 - Evaluation - INFO - split Overall ... Weather and climate World religions
0 test 0.940506 ... 0.948276 1.0
torchrun --nproc-per-node=8 run.py --data HallusionBench --model InternVL-Chat-V1-5 --verbose
The result is:
2024-04-29 18:21:37,606 - Evaluation - INFO - Score:
2024-04-29 18:21:37,606 - Evaluation - INFO - split aAcc fAcc qAcc
0 Overall 66.771819 40.173410 40.879121
1 VS 71.944444 40.517241 51.123596
2 VD 63.620981 40.000000 34.296029
3 VS_ocr 59.259259 38.461538 22.222222
4 VD_video 51.176471 10.416667 13.043478
5 VS_map 56.250000 18.181818 18.750000
6 VS_chart 81.538462 50.000000 72.368421
7 VS_table 75.892857 46.428571 55.813953
8 VD_figure 77.500000 65.853659 53.846154
9 VD_illusion 66.666667 41.935484 34.722222
10 VD_math 56.481481 25.000000 27.777778
11 VD_ocr 78.651685 58.139535 58.139535
torchrun --nproc-per-node=8 run.py --data TextVQA_VAL --model InternVL-Chat-V1-5 --verbose
The result is:
2024-04-29 18:41:32,873 - Evaluation - INFO - VQA Eval Finished. Saved to ./InternVL-Chat-V1-5/InternVL-Chat-V1-5_TextVQA_VAL_acc.csv.
2024-04-29 18:41:32,873 - Evaluation - INFO - Overall
0 80.488
torchrun --nproc-per-node=8 run.py --data ChartQA_TEST --model InternVL-Chat-V1-5 --verbose
The result is:
2024-04-29 18:44:05,458 - Evaluation - INFO - VQA Eval Finished. Saved to ./InternVL-Chat-V1-5/InternVL-Chat-V1-5_ChartQA_TEST_acc.csv.
2024-04-29 18:44:05,458 - Evaluation - INFO - test_human test_augmented Overall
0 73.04 94.32 83.68
torchrun --nproc-per-node=8 run.py --data AI2D_TEST --model InternVL-Chat-V1-5 --verbose
The result is:
2024-04-29 19:02:17,402 - Evaluation - INFO - Score:
2024-04-29 19:02:17,402 - Evaluation - INFO - split Overall atomStructure ... typesOf volcano waterCNPCycle
0 none 0.806995 0.75 ... 0.752187 1.0 0.727273
torchrun --nproc-per-node=8 run.py --data LLaVABench --model InternVL-Chat-V1-5 --verbose
The result is:
Processing ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0:00:00 60/60 100%
split Relative Score (main) VLM Score GPT4 Score
0 overall 82.0 63.7 77.7
1 conv 82.9 74.1 89.4
2 detail 72.0 48.0 66.7
3 complex 86.0 65.7 76.4
torchrun --nproc-per-node=8 run.py --data DocVQA_VAL --model InternVL-Chat-V1-5 --verbose
The result is:
2024-04-29 19:18:54,661 - Evaluation - INFO - VQA Eval Finished. Saved to ./InternVL-Chat-V1-5/InternVL-Chat-V1-5_DocVQA_VAL_acc.csv.
2024-04-29 19:18:54,661 - Evaluation - INFO - val Overall
0 90.500323 90.500323
torchrun --nproc-per-node=8 run.py --data InfoVQA_VAL --model InternVL-Chat-V1-5 --verbose
The result is:
2024-04-29 18:44:50,851 - Evaluation - INFO - VQA Eval Finished. Saved to ./InternVL-Chat-V1-5/InternVL-Chat-V1-5_InfoVQA_VAL_acc.csv.
2024-04-29 18:44:50,851 - Evaluation - INFO - val Overall
0 71.920408 71.920408
torchrun --nproc-per-node=8 run.py --data OCRBench --model InternVL-Chat-V1-5 --verbose
The result is:
2024-04-29 18:56:05,437 - Evaluation - INFO - Score:
2024-04-29 18:56:05,437 - Evaluation - INFO - Text Recognition:238
2024-04-29 18:56:05,437 - Evaluation - INFO - Scene Text-centric VQA:178
2024-04-29 18:56:05,437 - Evaluation - INFO - Doc-oriented VQA:151
2024-04-29 18:56:05,438 - Evaluation - INFO - Key Information Extraction:153
2024-04-29 18:56:05,438 - Evaluation - INFO - Handwritten Mathematical Expression Recognition:4
2024-04-29 18:56:05,438 - Evaluation - INFO - Final Score:724
2024-04-29 18:56:05,438 - Evaluation - INFO - Final Score Norm:72.4
torchrun --nproc-per-node=8 run.py --data RealWorldQA --model InternVL-Chat-V1-5 --verbose
The result is:
2024-04-29 18:56:43,192 - Evaluation - INFO - Score:
2024-04-29 18:56:43,192 - Evaluation - INFO - split Overall
0 none 0.660131
torchrun --nproc-per-node=8 run.py --data SEEDBench2_Plus --model InternVL-Chat-V1-5 --verbose
The result is:
2024-05-29 12:41:47,313 - Evaluation - INFO - split Overall chart map web
0 none 0.666227 0.650617 0.574969 0.79697