doctobert-fr-ckpts

DoctoBERT-fr — Training Checkpoints

<center> <img src="assets/logo_doctobert.png" width="100%" alt="DoctoBERT"> </center> <p align="center"> <a href="https://huggingface.co/blog/bofenghuang/doctobert-fr-release">🤗 Blog</a> | <a href="https://arxiv.org/abs/2606.22079">📄 Paper</a> | <a href="https://github.com/doctolib-lab/doctobert">💻 Code</a> | <a href="https://huggingface.co/collections/doctolib-lab/finemed-fr">🌐 FineMed</a> | <a href="https://huggingface.co/collections/doctolib-lab/doctobert-fr">🩺 DoctoBERT</a> </p>

📚 Introduction

Per-stage MosaicML Composer training-state checkpoints for the DoctoBERT-fr encoder family.

Each .pt is the full state (model, optimizer, scheduler, RNG), for resuming or analysis. DoctoBERT-fr keeps the final checkpoint of each stage; DoctoModernBERT-fr also keeps intermediate checkpoints every ~5,000 batches.

For ready-to-use inference models, use DoctoBERT-fr-base and DoctoModernBERT-fr-base.

<!-- ## 📖 Citation ```bibtex @misc{doctobert2026, title = {Where Does the Signal Live? A Web Data Recipe for Medical Encoder Pretraining}, author = {Huang, Bofeng and Sun, Jacques and Bouchacourt, Diane and Barascud, Nicolas and Fogel, Fajwel}, year = {2026}, eprint = {2606.XXXXX}, archivePrefix = {arXiv}, primaryClass = {cs.CL} } ``` -->

⚖️ License

Released under Apache-2.0. Trained on FineMed-fr and FineMed-rephrased-fr, which derive from FineWeb-2 / FinePDFs (ODC-BY 1.0) and FineWiki (CC BY-SA 4.0); please attribute those upstream sources.

🏛️ Acknowledgments

This work was granted access to the HPC resources of IDRIS (Jean Zay) under the allocations 2025-AD011016291 and 2026-A0200617487 made by GENCI.