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OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

About

We introduce OpenFlamingo, a family of autoregressive vision-language models ranging from 3B to 9B parameters. OpenFlamingo is an ongoing effort to produce an open-source replication of DeepMind's Flamingo models. On seven vision-language datasets, OpenFlamingo models average between 80 - 89% of corresponding Flamingo performance. This technical report describes our models, training data, hyperparameters, and evaluation suite. We share our models and code at https://github.com/mlfoundations/open_flamingo.

Anas Awadalla, Irena Gao, Josh Gardner, Jack Hessel, Yusuf Hanafy, Wanrong Zhu, Kalyani Marathe, Yonatan Bitton, Samir Gadre, Shiori Sagawa, Jenia Jitsev, Simon Kornblith, Pang Wei Koh, Gabriel Ilharco, Mitchell Wortsman, Ludwig Schmidt• 2023

Related benchmarks

TaskDatasetResultRank
Object Hallucination EvaluationPOPE--
2019
Visual Question AnsweringVizWiz
Accuracy44
1820
Visual Question AnsweringTextVQA
Accuracy54.7
1453
Visual Question AnsweringVQA v2
Accuracy54.8
1429
Multimodal UnderstandingMMBench
Accuracy6.6
847
Visual Question AnsweringVQA v2 (test-dev)
Overall Accuracy54.8
712
Multimodal UnderstandingMM-Vet
MM-Vet Score21.8
631
Video UnderstandingMVBench
Accuracy7.9
563
Multimodal ReasoningMM-Vet
MM-Vet Score24.8
517
Visual Question AnsweringTextVQA (val)
VQA Score2.83e+3
365
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