Model save

emissions.csv

@@ -1,2 +1,2 @@
 timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
-2024-03-06T19:51:08,codecarbon,979ff740-54da-412d-905a-26011679366e,3628.390936613083,0.5434850863245542,0.00014978680517592453,112.5,447.551,377.88994789123535,0.11338566172122956,1.0402497189964413,0.3802596520483386,1.5338950327660095,Germany,DEU,free and hanseatic city of hamburg,,,Linux-6.5.0-21-generic-x86_64-with-glibc2.35,3.11.4,2.2.3,128,AMD EPYC 7543 32-Core Processor,4,4 x NVIDIA A40,9.9683,53.5649,1007.7065277099609,machine,N,1.0
+2024-03-07T15:07:20,codecarbon,396cd423-3ae6-4b2c-ac18-2b1aefe8a175,3626.4722533226013,0.5444344380727176,0.0001501278377557977,112.5,425.24600000000004,377.88994789123535,0.1133252589851618,1.0432909569973428,0.3799582020463171,1.5365744180288206,Germany,DEU,free and hanseatic city of hamburg,,,Linux-6.5.0-21-generic-x86_64-with-glibc2.35,3.11.4,2.2.3,128,AMD EPYC 7543 32-Core Processor,4,4 x NVIDIA A40,9.9683,53.5649,1007.7065277099609,machine,N,1.0