# My dummy model
--- 
datasets: 
  - wmt19
  
language: 
  - ru
  - en

library_name: flair

license: apache-2.0

metrics: 
  - bleu
  - sacrebleu

tags: 
  - translation
  
  co2_eq_emissions:
  emissions: number (in grams of CO2)
  source: "source of the information, either directly from AutoTrain, code carbon or from a scientific article documenting the model"
  training_type: "pre-training or fine-tuning"
  geographical_location: "as granular as possible, for instance Quebec, Canada or Brooklyn, NY, USA. To check your compute's electricity grid, you can check out https://app.electricitymap.org."
  hardware_used: "how much compute and what kind, e.g. 8 v100 GPUs"
  
  \\(MSE=(n1)i=1∑n(yi−xi)2 E=mc^2 E=mc 2\\

TO-DO:

extra_gated_prompt: "You agree to not use the model to conduct experiments that cause harm to human subjects."
extra_gated_fields:
 Company: text
 Country: text
 I agree to use this model for non-commerical use ONLY: checkbox