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README.md
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license: apache-2.0
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---
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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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# 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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