T5La-Large-WeightedLoss / emissions.csv
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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
2025-10-13T05:33:09,codecarbon,6a3ac9ce-4338-4d21-ac19-0132b8416b36,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,55270.45810584165,0.3286242101720817,5.945747899226273e-06,180.1759071100593,305.28646912519304,50.0,2.779063547535717,4.529042045730705,0.767191376191279,8.075296969457714,Sweden,SWE,dalarna county,,,Linux-4.18.0-553.56.1.el8_10.x86_64-x86_64-with-glibc2.28,3.10.18,3.0.4,32,AMD EPYC 7413 24-Core Processor,1,1 x NVIDIA H100 PCIe,15.6326,60.6043,171.68,machine,N,1.0