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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
2025-08-11T13:30:46,codecarbon,13a5d3e8-8f24-4f0d-b5b4-71d0b3b08625,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,11.847696596756577,0.0001820352390264764,1.536461011976879e-05,42.5,389.1345620640434,94.34468364715576,0.0001397337884732729,0.0012794215791416264,0.00031018199714267337,0.0017293373647575727,Luxembourg,LUX,luxembourg,,,Linux-6.8.0-60-generic-x86_64-with-glibc2.39,3.12.3,2.8.4,64,AMD EPYC 9124 16-Core Processor,2,2 x NVIDIA L40S,6.1294,49.6113,251.58582305908203,machine,N,1.0