End of training

emissions.csv

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 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
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+2023-07-16T20:59:13,codecarbon,6ba519fb-81ab-4482-89a2-081c0591702b,343.4102420806885,0.0054772017177996,1.5949441940385552e-05,42.5,30.796,9.54426097869873,0.0040528262890047,0.0062510739539278,0.0009062286530417,0.0112101288959743,Singapore,SGP,,,,Linux-5.15.109+-x86_64-with-glibc2.31,3.10.12,2.2.5,4,Intel(R) Xeon(R) CPU @ 2.20GHz,1,1 x Tesla T4,103.8547,1.2929,25.45136260986328,machine,N,1.0
+2023-07-16T21:17:58,codecarbon,ad874c83-52fa-4619-af47-4979d443e67d,347.30016112327576,0.0055748065227367,1.6051839724767537e-05,42.5,30.616,9.54426097869873,0.0040991244655516,0.0063913536408823,0.0009194174770909,0.0114098955835248,Singapore,SGP,,,,Linux-5.15.109+-x86_64-with-glibc2.31,3.10.12,2.2.5,4,Intel(R) Xeon(R) CPU @ 2.20GHz,1,1 x Tesla T4,103.8547,1.2929,25.45136260986328,machine,N,1.0
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