Update README.md

README.md

@@ -122,6 +122,16 @@ The following hyperparameters were used during training:
 - Datasets 1.18.4
 - Tokenizers 0.11.6
 
+## Environmental Impact
+
+Carbon emissions are estimated with the [Machine Learning Impact calculator](https://mlco2.github.io/impact/#compute) by [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). The carbon impact is estimated by specifying the hardware, runtime, cloud provider, and compute region.
+
+- Hardware Type: 1 GPU 24 GB RTX 3090
+- Time used: 4' (0.07 hours) 
+- Compute Region: Spain, Europe 
+- Carbon Emitted (Power consumption x Time x Carbon produced based on location of power grid): 0.01 kg eq. CO2
+(Carbon offset: 0)
+
 ## Funding
 
 This model was created with the annotated dataset from the [NLPMedTerm project](http://www.lllf.uam.es/ESP/nlpmedterm_en.html), funded by  InterTalentum UAM, Marie Skłodowska-Curie COFUND grant (2019-2021) (H2020 program, contract number 713366) and by the Computational Linguistics Chair from the Knowledge Engineering Institute (IIC-UAM).