flan-t5la-large / 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
2025-11-11T23:12:35,codecarbon,33b8f8af-4b07-4a02-a747-efab76368101,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,35351.150889177,0.32308108256900847,9.13919559738922e-06,185.57371380185336,611.0808551788554,50.0,1.8353878718955121,5.613025048472006,0.490672534086573,7.939085454454071,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,2,2 x NVIDIA H100 PCIe,15.6326,60.6043,171.68,machine,N,1.0