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Pushing fine-tuned model to Hugging Face Hub
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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
2025-07-09T16:57:32,jbcs2025,7a85afea-dff9-4bbd-b1a0-463b436487b3,bert-large-portuguese-cased-encoder_classification-C4-essay_only,214.8115161480382,0.004540770745458322,2.1138395309909884e-05,48.38000000000001,168.23537292801586,58.0,0.002605466347188703,0.012872615853639857,0.003395947740847801,0.018874029941676355,Romania,ROU,gorj county,,,Linux-5.15.0-143-generic-x86_64-with-glibc2.35,3.12.11,3.0.2,36,Intel(R) Xeon(R) Gold 6248R CPU @ 3.00GHz,1,1 x NVIDIA RTX A6000,23.2904,45.0489,393.6063117980957,machine,N,1.0