Update README.md

README.md

@@ -28,8 +28,7 @@ pipeline_tag: translation
 - [Training](#training)
 - [Evaluation](#evaluation)
 - [Citation](#citation)
-- [Acknowledgements](#acknowledgements)
-- [Contact](#contact)
+- [Additional information](#additional-information)
   
 </details>
 
@@ -37,7 +36,7 @@ pipeline_tag: translation
 
 Plume is the first LLM trained for Neural Machine Translation with only parallel Catalan-Centric data from scratch. It is a language model with the same architecture as Gemma 2B. The model is trained for general translation tasks at sentence level. For more information about training, architecture and interpretability of the model check out the paper;  "Investigating the translation capabilities of Large Language Models trained on parallel data only". The preprint is available on [arXiv]().
 
-- **Developed by:** Machine Translation Unit at the Barcelona Supercomputing Center (BSC).
+- **Developed by:** The Language Technologies Unit from Barcelona Supercomputing Center (BSC).
 - **Languages:** Spanish, French, Italian, Portuguese, Galician, German, English, and Basque.
 - **License:** Apache License, Version 2.0
 
@@ -79,7 +78,7 @@ generated_text = tokenizer.decode(output_ids[0, input_length: ], skip_special_to
 
 ## Training
 
-Training details are specified in the [paper](). Code for training the model and running other experiments can be found in Plume [repo](https://github.com/projecte-aina/Plume).
+Training details are specified in the [paper](). Code for training the model and running other experiments can be found in our [GitHub repository](https://github.com/projecte-aina/Plume).
 
 ## Evaluation
 
@@ -101,15 +100,36 @@ Below are the evaluation results on Flores-200 and NTREX for supervised MT direc
 
 ```
 
-## Acknowledgements
+## Additional information
 
-This work/research has been promoted and financed by the Government of Catalonia through the [Aina project](https://projecteaina.cat/).
+### Author
+The Language Technologies Unit from Barcelona Supercomputing Center.
 
-Aquest/a resultat/publicació ha estat impulsat/da i finançat/da per la Generalitat de Catalunya mitjançant el [projecte Aina](https://projecteaina.cat/).
+### Contact
+Feel free to write us at with any questions you may have to {javier.garcia1, carlos.escolano, aleix.santsavall, francesca.delucafornaciari, audrey.mash, xixian.liao, maite.melero}@bsc.es 
 
-Esta/e publicación/resultado ha sido impulsada/o y financiada/o por la Generalitat de Catalunya mediante el [proyecto Aina](https://projecteaina.cat/).
+### Copyright
+Copyright(c) 2023 by Language Technologies Unit, Barcelona Supercomputing Center.
 
+### License
+[Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0)
 
-## Contact
+### Funding
+This work was funded by [Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya](https://politiquesdigitals.gencat.cat/ca/inici/index.html#googtrans(ca|en) within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).
 
-Please feel free to write us at with any questions you may have to {javier.garcia1, carlos.escolano, aleix.santsavall, francesca.delucafornaciari, audrey.mash, xixian.liao, maite.melero}@bsc.es 
+### Disclaimer
+
+<details>
+<summary>Click to expand</summary>
+
+The model published in this repository is intended for a generalist purpose and is available to third parties under a permissive Apache License, Version 2.0. 
+
+Be aware that the model may have biases and/or any other undesirable distortions.
+
+When third parties deploy or provide systems and/or services to other parties using this model (or any system based on it) 
+or become users of the model, they should note that it is their responsibility to mitigate the risks arising from its use and, 
+in any event, to comply with applicable regulations, including regulations regarding the use of Artificial Intelligence.
+
+In no event shall the owner and creator of the model (Barcelona Supercomputing Center) be liable for any results arising from the use made by third parties.
+
+</details>