readme: ---
  language:
  - ro
  license: mit  # Example: apache-2.0 or any license from https://hf.co/docs/hub/repositories-licenses
  
  tags:
  - romanian
  - text generation
  - causal lm
  - gpt-neo
  ---
  
  # GPT-Neo Romanian 780M
  
  This model is a GPT-Neo transformer decoder model designed using EleutherAI's replication of the GPT-3 architecture. 
  
  It was trained on a thoroughly cleaned corpus of Romanian text of about 40GB composed of Oscar, Opus, Wikipedia, literature and various other bits and pieces of text, joined together and deduplicated. It was trained for about a month, totaling 1.5M steps on a v3-32 TPU machine.
  
  ### Authors:
  * Dumitrescu Stefan
  * Mihai Ilie
  
  ### Evaluation
  Evaluation to be added soon, also on [https://github.com/dumitrescustefan/Romanian-Transformers](https://github.com/dumitrescustefan/Romanian-Transformers)
  
  ### Acknowledgements
  
  Thanks [TPU Research Cloud](https://sites.research.google/trc/about/) for the TPUv3 machine needed to train this model!
  