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README.md
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Training was performed on 4 NVIDIA A100-80GB GPUs distributed over 1 node on [OSC's](https://www.osc.edu/) Ascend HPC Cluster with global batch size 16,384 for 2 days.
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### Training Data
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This model was trained on [iNat21](https://github.com/visipedia/inat_comp/tree/master/2021), which is a compilation of images matched to [Linnaean taxonomic rank](https://www.britannica.com/science/taxonomy/The-objectives-of-biological-classification) from kingdom through species. They are also matched with common (vernacular) name of the subject of the image where available.
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Training was performed on 4 NVIDIA A100-80GB GPUs distributed over 1 node on [OSC's](https://www.osc.edu/) Ascend HPC Cluster with global batch size 16,384 for 2 days.
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Based on Machine Learning Impact calculator presented in Lacoste et al. (2019), that's 33.16 kg of CO2 eq., or 134km driven by an average ICE car.
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### Training Data
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This model was trained on [iNat21](https://github.com/visipedia/inat_comp/tree/master/2021), which is a compilation of images matched to [Linnaean taxonomic rank](https://www.britannica.com/science/taxonomy/The-objectives-of-biological-classification) from kingdom through species. They are also matched with common (vernacular) name of the subject of the image where available.
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