model commit

README.md

@@ -1,35 +1,32 @@
 ---
 language: en
 license: apache-2.0
-datasets: climatebert/environmental_claims
+datasets: climatebert/environmental_claims + custom annotations
 tags:
 - Env Claims
 ---
 
 # Model Card for environmental-claims
 
-## Model Description
-
-
 
-## 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                                                             | - |
+## Model Description
+Trained for specific Environmentional claims, for emerging markets models                                                           | - |
 
 ## Citation Information
 
+@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},
+}
+@misc{
+  title = {Custom Emerging markets},
+  author = {Tushar Aggarwal},
+  year = {December 2022},
+}
 
 ## How to Get Started With the Model