philipphager
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baidu-ultr_uva-bert_naive-pointwise

Inference Endpoints

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philipphager commited on Apr 30

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@@ -14,7 +14,7 @@ metrics:
 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"
 ---

 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"
 ---