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End of training
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timestamp,project_name,run_id,experiment_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
2025-11-25T08:34:42,codecarbon,46016a62-72d2-48da-9d57-e6844c7b1ce7,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,3480.7599397339945,0.14822105400392685,4.2582957908684204e-05,42.5,473.86350310892067,755.7507977485657,0.04105713564181151,0.6370560410333139,0.7299889485153672,1.4081021251904928,Luxembourg,LUX,,,,Linux-6.8.0-88-generic-x86_64-with-glibc2.39,3.12.3,2.8.4,224,Intel(R) Xeon(R) Platinum 8480+,2,2 x NVIDIA H100 NVL,6.1661,49.7498,2015.3354606628418,machine,N,1.0