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--- |
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license: apache-2.0 |
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language: |
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- en |
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metrics: |
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- accuracy |
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pipeline_tag: image-text-to-text |
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--- |
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# Introduction |
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We use the powerful [TinyLLaVA Factory](https://github.com/TinyLLaVA/TinyLLaVA_Factory) to create a super small image-text-to-text model with only 296M params. |
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The goal is to make it possible to run LLaVA models on edge devices (with few gigabytes of memory). |
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For LLM and vision tower, we choose [OpenELM-270M-Instruct](apple/OpenELM-270M-Instruct) and [facebook/dinov2-small](facebook/dinov2-small), respectively. |
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# Result |
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[POPE](https://tinyllava-factory.readthedocs.io/en/latest/Evaluation.html#pope): |
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| Category | # Samples | TP | FP | TN | FN | Accuracy | Precision | Recall | F1 Score | Yes Ratio | |
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|-------------|------------|------|-----|------|-----|----------|-----------|--------|----------|-----------| |
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| Adversarial | 3000 | 1264 | 575 | 925 | 236 | 0.7297 | 0.6873 | 0.8427 | 0.7571 | 0.613 | |
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| Popular | 3000 | 1264 | 301 | 1199 | 236 | 0.8210 | 0.8077 | 0.8427 | 0.8248 | 0.5217 | |
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| Random | 2910 | 1264 | 290 | 1120 | 236 | 0.8192 | 0.8134 | 0.8427 | 0.8278 | 0.5340 | |
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[TEXTVQA](https://tinyllava-factory.readthedocs.io/en/latest/Evaluation.html#textvqa) |
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Samples 5000, Accuracy 27% |
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[SCIENCEQA](https://tinyllava-factory.readthedocs.io/en/latest/Evaluation.html#scienceqa) |
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Samples 4241, Correct: 1725, Accuracy: 40.64%, IMG-Accuracy: 36.54% |
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[MMMU](https://tinyllava-factory.readthedocs.io/en/latest/Evaluation.html#mmmu) |
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| Category | # Samples | Accuracy | |
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|---------------------------------|-----------|----------| |
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| Overall | 900 | 0.273 | |
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| Overall-Art and Design | 120 | 0.233 | |
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| Art | 30 | 0.233 | |
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| Art Theory | 30 | 0.167 | |
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| Design | 30 | 0.367 | |
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| Music | 30 | 0.167 | |
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| Overall-Business | 150 | 0.293 | |
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| Accounting | 30 | 0.367 | |
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| Economics | 30 | 0.467 | |
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| Finance | 30 | 0.200 | |
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| Management | 30 | 0.233 | |
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| Marketing | 30 | 0.200 | |
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| Overall-Science | 150 | 0.273 | |
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| Biology | 30 | 0.267 | |
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| Chemistry | 30 | 0.100 | |
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| Geography | 30 | 0.200 | |
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| Math | 30 | 0.433 | |
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| Physics | 30 | 0.367 | |
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| Overall-Health and Medicine | 150 | 0.293 | |
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| Basic Medical Science | 30 | 0.333 | |
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| Clinical Medicine | 30 | 0.200 | |
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| Diagnostics and Laboratory Med. | 30 | 0.233 | |
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| Pharmacy | 30 | 0.333 | |
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| Public Health | 30 | 0.367 | |
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| Overall-Humanities and Soc. Sci.| 120 | 0.267 | |
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| History | 30 | 0.333 | |
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| Literature | 30 | 0.300 | |
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| Sociology | 30 | 0.133 | |
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| Psychology | 30 | 0.300 | |
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| Overall-Tech and Engineering | 210 | 0.271 | |
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| Agriculture | 30 | 0.200 | |
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| Architecture and Engineering | 30 | 0.267 | |
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| Computer Science | 30 | 0.333 | |
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| Electronics | 30 | 0.267 | |
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| Energy and Power | 30 | 0.333 | |
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| Materials | 30 | 0.267 | |
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| Mechanical Engineering | 30 | 0.233 | |
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