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--- |
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language: |
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- en |
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tags: |
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- align |
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- clip |
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license: apache-2.0 |
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datasets: |
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- kakaobrain/coyo-700m |
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inference: false |
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--- |
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# Model Details |
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This is an implementation of [ALIGN](https://arxiv.org/abs/2102.05918) trained on [COYO-700M](https://github.com/kakaobrain/coyo-dataset). The official ALIGN is trained on its dataset of 1.8B samples. That dataset is not released to the public. Instead, we trained our implementation of ALIGN model on [COYO-700M](https://github.com/kakaobrain/coyo-dataset). |
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It's developed by Kakao Brain to validate the performance of COYO-700M dataset on a large-scale model. |
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The training took about 10 days on V3-1024 with batch_size=64k. |
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## Model Date |
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April 2022 |
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## Model Type |
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This is dual encoder model where |
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- image encoder is using EfficientNet-B7 architecture |
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- text encoder is using BERT-base architecture |
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# Training data |
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This model is trained on [COYO-700M](https://github.com/kakaobrain/coyo-dataset) dataset. |
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# Evaluation results |
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| | Dataset | ImageNet | Flickr30k | | MsCOCO | | |
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|--------------------------------|:----------:|:--------:|:---------:|:-------:|:-------:|:-------:| |
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| | | KNN | I2T R@1 | T2I R@1 | I2T R@1 | T2I R@1 | |
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| ALIGN-L2-Large(Google) | ALIGN 1.8B | 76.4 | 88.6 | 75.7 | 58.6 | 45.6 | |
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| ALIGN-B7-Base(Google) | ALIGN 1.8B | 69.3 | - | - | 55.4 | 41.7 | |
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| COYO-ALIGN-B7-Base(Kakao Brain) | COYO-700M | 68.6 | 88.1 | 73.2 | 61.2 | 43.1 | |
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