readme: ---
  language: en
  license: apache-2.0
  datasets: climatebert/environmental_claims
  tags:
  - ClimateBERT
  ---
  
  # Model Card for environmental-claims
  
  ## Model Description
  
  The environmental-claims model is fine-tuned on the [EnvironmentalClaims](https://huggingface.co/datasets/climatebert/environmental_claims) dataset by using the [climatebert/distilroberta-base-climate-f](https://huggingface.co/climatebert/distilroberta-base-climate-f) model as pre-trained language model. The underlying methodology can be found in our [research paper](https://arxiv.org/abs/2209.00507).
  
  ## Climate Performance Model Card
  
  | environmental-claims                                                     |                |
  |--------------------------------------------------------------------------|----------------|
  | 1. Is the resulting model publicly available?                            | Yes            |
  | 2. How much time does the training of the final model take?              | < 5 min        |
  | 3. How much time did all experiments take (incl. hyperparameter search)? | 60 hours       |
  | 4. What was the power of GPU and CPU?                                    | 0.3 kW         |
  | 5. At which geo location were the computations performed?                | Switzerland    |
  | 6. What was the energy mix at the geo location?                          | 89 gCO2eq/kWh  |
  | 7. How much CO2eq was emitted to train the final model?                  | 2.2 g          |
  | 8. How much CO2eq was emitted for all experiments?                       | 1.6 kg         |
  | 9. What is the average CO2eq emission for the inference of one sample?   | 0.0067 mg      |
  | 10. Which positive environmental impact can be expected from this work?  | This work can help detect and evaluate environmental claims and thus have a positive impact on the environment in the future. |
  | 11. Comments                                                             | - |
  
  ## Citation Information
  
  ```bibtex
  @misc{stammbach2022environmentalclaims,
    title = {A Dataset for Detecting Real-World Environmental Claims},
    author = {Stammbach, Dominik and Webersinke, Nicolas and Bingler, Julia Anna and Kraus, Mathias and Leippold, Markus},
    year = {2022},
    doi = {10.48550/ARXIV.2209.00507},
    url = {https://arxiv.org/abs/2209.00507},
    publisher = {arXiv},
  }
  ```
  