Update README.md

README.md

@@ -16,7 +16,7 @@ Code: [GITHUB](https://github.com/lightonai/lairgpt)
 
 PAGnol is a collection of large French language models, geared towards free-form text generation. With 1.5 billion parameters. PAGnol is based on the [GPT](https://arxiv.org/abs/2005.14165) architecture. PAGnol is the first language model trained by [LightOn](https://lighton.ai/), in cooperation with the [ALMAnaCH team of Inria](http://almanach.inria.fr/index-en.html).
 
-These model were trained in early 2021 following the then [scaling laws](https://arxiv.org/abs/2001.08361) and using the exact same training data as the [CamemBERT](https://camembert-model.fr/) model trained on [CCNet](https://github.com/facebookresearch/cc_net). We make it available for reproducibility and transparency purposes.
+These model were trained in early 2021 following the then [scaling laws](https://arxiv.org/abs/2001.08361) and using the exact same training data as the [CamemBERT](https://camembert-model.fr/) model trained on [CCNet](https://github.com/facebookresearch/cc_net). We make it available for reproducibility purposes.
 They do not constitute the current state of the art nor are they aiming at it.
 
 PAGnol was built by [Julien Launay](https://lolo.science/), E.L. Tommasone, [Baptiste Pannier](https://www.linkedin.com/in/baptiste-pannier-b30758154/), [François Boniface](https://www.linkedin.com/in/fran%c3%a7ois-boniface-26313610b/), [Amélie Chatelain](https://www.instagram.com/amelietabatta/), [Iacopo Poli](https://twitter.com/iacopo_poli), and [Djamé Seddah](http://pauillac.inria.fr/~seddah/). It is named after Marcel Pagnol (with PAG standing for pré-apprentissage génératif), and was trained on the IDRIS Jean Zay supercomputer thanks to a GENCI allocation.