Update README.md

README.md

@@ -11,6 +11,12 @@ metrics:
 - dcg@10
 - ndcg@10
 - mrr@10
+co2_eq_emissions:
+  emissions: 2090
+  source: "Calculated using the [ML CO2 impact calculator](https://mlco2.github.io/impact/#compute), training for 4 x 45 hours with a carbon efficiency of 0.029 kg/kWh. You can inspect the carbon efficiency of the French national grid provider here: https://www.rte-france.com/eco2mix/les-emissions-de-co2-par-kwh-produit-en-france"
+  training_type: "Pre-training"
+  geographical_location: "Grenoble, France"
+  hardware_used: "4 NVIDIA H100-80GB GPUs"
 ---
 
 # Listwise MonoBERT trained on Baidu-ULTR with Inverse Propensity Scoring (IPS)