---
license: mit
datasets:
- imagenet-1k
metrics:
- accuracy
pipeline_tag: image-classification
---
# mrl-convnext-tiny

We provide a ConvNeXt-Tiny model trained with [Matryoshka Representation Learning](https://github.com/RAIVNLab/MRL) (MRL) from scratch on ImageNet-1K, 
adapted from [the original repository](https://github.com/facebookresearch/ConvNeXt). We train with a Matryoshka Loss at [d] = {48, 96, 192, 384, 786},

<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/64af72d4a609b29cc7b5919b/eGorc5hWdriNcEJkwP7Lz.png" alt="drawing" width="600"/>
Top-1 Retrieval Accuracy (1-nearest neighbor) of mrl-convnext-tiny on ImageNet-1K with Exact search and IVF search across vector dimensionality.
</p>