Model save

emissions.csv

@@ -1,2 +1,2 @@
 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
-2024-03-06T19:59:40,codecarbon,90d04bce-61f9-4777-bfd5-466e47b0fd3d,362.7719690799713,0.054290928769195314,0.00014965579867397952,112.5,1054.6180000000002,377.88994789123535,0.011336443759500978,0.10386819861275427,0.03802235144739026,0.15322699381964544,Germany,DEU,free and hanseatic city of hamburg,,,Linux-6.5.0-21-generic-x86_64-with-glibc2.35,3.11.4,2.2.3,128,AMD EPYC 7543 32-Core Processor,4,4 x NVIDIA A40,9.9683,53.5649,1007.7065277099609,machine,N,1.0
+2024-03-07T20:28:06,codecarbon,0c29b5ac-6410-483a-94f1-220170dea8f7,362.9508550167084,0.05425187131503297,0.00014947442763989493,112.5,988.433,377.88994789123535,0.011342068910598753,0.10373515930278926,0.038039532526381675,0.15311676073976968,Germany,DEU,free and hanseatic city of hamburg,,,Linux-6.5.0-21-generic-x86_64-with-glibc2.35,3.11.4,2.2.3,128,AMD EPYC 7543 32-Core Processor,4,4 x NVIDIA A40,9.9683,53.5649,1007.7065277099609,machine,N,1.0

runs/Mar07_20-21-57_hcdsgpu2/events.out.tfevents.1709842923.hcdsgpu2.1040702.0

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+size 32003

training_args.bin

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+oid sha256:5d2ef76f1e4c56c95e25025a10d6a2984e024d5c39031685428d73f0c4f5520e
 size 4920