/opt/conda/lib/python3.9/site-packages/transformers/tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884
  warnings.warn(

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[codecarbon INFO @ 13:01:54] [setup] RAM Tracking...
[codecarbon INFO @ 13:01:54] [setup] GPU Tracking...
[codecarbon INFO @ 13:01:54] Tracking Nvidia GPU via pynvml
[codecarbon DEBUG @ 13:01:54] GPU available. Starting setup
[codecarbon INFO @ 13:01:54] [setup] CPU Tracking...
[codecarbon DEBUG @ 13:01:54] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
[codecarbon DEBUG @ 13:01:54] Not using the RAPL interface, an exception occurred while instantiating IntelRAPL : Intel RAPL files not found at /sys/class/powercap/intel-rapl on linux
[codecarbon DEBUG @ 13:01:54] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
[codecarbon WARNING @ 13:01:54] No CPU tracking mode found. Falling back on CPU constant mode.
[codecarbon WARNING @ 13:01:55] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
[codecarbon INFO @ 13:01:55] CPU Model on constant consumption mode: AMD EPYC 7R32
[codecarbon INFO @ 13:01:55] >>> Tracker's metadata:
[codecarbon INFO @ 13:01:55]   Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
[codecarbon INFO @ 13:01:55]   Python version: 3.9.20
[codecarbon INFO @ 13:01:55]   CodeCarbon version: 2.5.1
[codecarbon INFO @ 13:01:55]   Available RAM : 186.705 GB
[codecarbon INFO @ 13:01:55]   CPU count: 48
[codecarbon INFO @ 13:01:55]   CPU model: AMD EPYC 7R32
[codecarbon INFO @ 13:01:55]   GPU count: 1
[codecarbon INFO @ 13:01:55]   GPU model: 1 x NVIDIA A10G
[codecarbon DEBUG @ 13:01:56] Not running on AWS
[codecarbon DEBUG @ 13:01:57] Not running on Azure
[codecarbon DEBUG @ 13:01:58] Not running on GCP
[codecarbon INFO @ 13:01:58] Saving emissions data to file /runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/codecarbon.csv
[codecarbon DEBUG @ 13:01:58] EmissionsData(timestamp='2024-10-08T13:01:58', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.0022171269999944343, emissions=0.0, emissions_rate=0.0, cpu_power=0.0, gpu_power=0.0, ram_power=0.0, cpu_energy=0, gpu_energy=0, ram_energy=0, energy_consumed=0, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)

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[codecarbon INFO @ 13:01:59] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.27339935302734375 W
[codecarbon DEBUG @ 13:01:59] RAM : 0.27 W during 0.42 s [measurement time: 0.0005]
[codecarbon INFO @ 13:01:59] Energy consumed for all GPUs : 0.000007 kWh. Total GPU Power : 62.61794011262714 W
[codecarbon DEBUG @ 13:01:59] GPU : 62.62 W during 0.42 s [measurement time: 0.0022]
[codecarbon INFO @ 13:01:59] Energy consumed for all CPUs : 0.000005 kWh. Total CPU Power : 42.5 W
[codecarbon DEBUG @ 13:01:59] CPU : 42.50 W during 0.43 s [measurement time: 0.0000]
[codecarbon INFO @ 13:01:59] 0.000012 kWh of electricity used since the beginning.
[codecarbon DEBUG @ 13:01:59] last_duration=0.423816565999914
------------------------
[codecarbon DEBUG @ 13:01:59] EmissionsData(timestamp='2024-10-08T13:01:59', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.42697465799994916, emissions=4.598363284616753e-06, emissions_rate=1.0769639833325424e-05, cpu_power=42.5, gpu_power=62.61794011262714, ram_power=0.27339935302734375, cpu_energy=5.039404527083176e-06, gpu_energy=7.385561463999803e-06, ram_energy=3.218663418082601e-08, energy_consumed=1.2457152625263805e-05, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
[codecarbon DEBUG @ 13:01:59] EmissionsData(timestamp='2024-10-08T13:01:59', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.0022345670000731843, emissions=4.598363284616753e-06, emissions_rate=0.0020578319130579443, cpu_power=42.5, gpu_power=62.61794011262714, ram_power=0.27339935302734375, cpu_energy=5.039404527083176e-06, gpu_energy=7.385561463999803e-06, ram_energy=3.218663418082601e-08, energy_consumed=1.2457152625263805e-05, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)

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[codecarbon WARNING @ 13:02:03] Background scheduler didn't run for a long period (3s), results might be inaccurate
[codecarbon INFO @ 13:02:03] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.344088077545166 W
[codecarbon DEBUG @ 13:02:03] RAM : 0.34 W during 3.93 s [measurement time: 0.0004]
[codecarbon INFO @ 13:02:03] Energy consumed for all GPUs : 0.000187 kWh. Total GPU Power : 164.50826052714714 W
[codecarbon DEBUG @ 13:02:03] GPU : 164.51 W during 3.93 s [measurement time: 0.0053]
[codecarbon INFO @ 13:02:03] Energy consumed for all CPUs : 0.000051 kWh. Total CPU Power : 42.5 W
[codecarbon DEBUG @ 13:02:03] CPU : 42.50 W during 3.93 s [measurement time: 0.0000]
[codecarbon INFO @ 13:02:03] 0.000239 kWh of electricity used since the beginning.
[codecarbon DEBUG @ 13:02:03] last_duration=3.9250225560000445
------------------------
[codecarbon DEBUG @ 13:02:03] EmissionsData(timestamp='2024-10-08T13:02:03', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.9313579220000747, emissions=8.809180558455209e-05, emissions_rate=2.2407475313195464e-05, cpu_power=42.5, gpu_power=164.50826052714714, ram_power=0.344088077545166, cpu_energy=5.1450096922916725e-05, gpu_energy=0.00018678681609600022, ram_energy=4.073608845729088e-07, energy_consumed=0.00023864427390348986, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
[codecarbon DEBUG @ 13:02:03] EmissionsData(timestamp='2024-10-08T13:02:03', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.0020242140000164, emissions=8.809180558455209e-05, emissions_rate=0.04351901804050282, cpu_power=42.5, gpu_power=164.50826052714714, ram_power=0.344088077545166, cpu_energy=5.1450096922916725e-05, gpu_energy=0.00018678681609600022, ram_energy=4.073608845729088e-07, energy_consumed=0.00023864427390348986, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)

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[codecarbon WARNING @ 13:02:07] Background scheduler didn't run for a long period (3s), results might be inaccurate
[codecarbon INFO @ 13:02:07] Energy consumed for RAM : 0.000001 kWh. RAM Power : 0.3441166877746582 W
[codecarbon DEBUG @ 13:02:07] RAM : 0.34 W during 3.88 s [measurement time: 0.0004]
[codecarbon INFO @ 13:02:07] Energy consumed for all GPUs : 0.000360 kWh. Total GPU Power : 161.22114466323345 W
[codecarbon DEBUG @ 13:02:07] GPU : 161.22 W during 3.88 s [measurement time: 0.0022]
[codecarbon INFO @ 13:02:07] Energy consumed for all CPUs : 0.000097 kWh. Total CPU Power : 42.5 W
[codecarbon DEBUG @ 13:02:07] CPU : 42.50 W during 3.88 s [measurement time: 0.0000]
[codecarbon INFO @ 13:02:07] 0.000458 kWh of electricity used since the beginning.
[codecarbon DEBUG @ 13:02:07] last_duration=3.8756087210000487
------------------------
[codecarbon DEBUG @ 13:02:07] EmissionsData(timestamp='2024-10-08T13:02:07', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.878755604000048, emissions=0.00016921236807989048, emissions_rate=4.362542664595487e-05, cpu_power=42.5, gpu_power=161.22114466323345, ram_power=0.3441166877746582, cpu_energy=9.723976907152746e-05, gpu_energy=0.0003603855660860005, ram_energy=7.778324010774964e-07, energy_consumed=0.00045840316755860547, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
[codecarbon DEBUG @ 13:02:07] EmissionsData(timestamp='2024-10-08T13:02:07', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.002066713999965941, emissions=0.00016921236807989048, emissions_rate=0.08187507709469188, cpu_power=42.5, gpu_power=161.22114466323345, ram_power=0.3441166877746582, cpu_energy=9.723976907152746e-05, gpu_energy=0.0003603855660860005, ram_energy=7.778324010774964e-07, energy_consumed=0.00045840316755860547, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)

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[codecarbon WARNING @ 13:02:11] Background scheduler didn't run for a long period (4s), results might be inaccurate
[codecarbon INFO @ 13:02:11] Energy consumed for RAM : 0.000001 kWh. RAM Power : 0.3441195487976074 W
[codecarbon DEBUG @ 13:02:11] RAM : 0.34 W during 4.02 s [measurement time: 0.0004]
[codecarbon INFO @ 13:02:11] Energy consumed for all GPUs : 0.000547 kWh. Total GPU Power : 166.59459293584817 W
[codecarbon DEBUG @ 13:02:11] GPU : 166.59 W during 4.02 s [measurement time: 0.0023]
[codecarbon INFO @ 13:02:11] Energy consumed for all CPUs : 0.000145 kWh. Total CPU Power : 42.5 W
[codecarbon DEBUG @ 13:02:11] CPU : 42.50 W during 4.03 s [measurement time: 0.0000]
[codecarbon INFO @ 13:02:11] 0.000692 kWh of electricity used since the beginning.
[codecarbon DEBUG @ 13:02:11] last_duration=4.0223104200000535
------------------------
[codecarbon DEBUG @ 13:02:11] EmissionsData(timestamp='2024-10-08T13:02:11', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=4.025530553999943, emissions=0.0002556195272544281, emissions_rate=6.349958690549085e-05, cpu_power=42.5, gpu_power=166.59459293584817, ram_power=0.3441195487976074, cpu_energy=0.0001447620110951379, gpu_energy=0.0005465593261360004, ram_energy=1.1623287851676462e-06, energy_consumed=0.000692483666016306, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
[codecarbon DEBUG @ 13:02:11] EmissionsData(timestamp='2024-10-08T13:02:11', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.0020257639999954336, emissions=0.0002556195272544281, emissions_rate=0.12618425801574334, cpu_power=42.5, gpu_power=166.59459293584817, ram_power=0.3441195487976074, cpu_energy=0.0001447620110951379, gpu_energy=0.0005465593261360004, ram_energy=1.1623287851676462e-06, energy_consumed=0.000692483666016306, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)

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[codecarbon WARNING @ 13:02:15] Background scheduler didn't run for a long period (4s), results might be inaccurate
[codecarbon INFO @ 13:02:15] Energy consumed for RAM : 0.000002 kWh. RAM Power : 0.3441195487976074 W
[codecarbon DEBUG @ 13:02:15] RAM : 0.34 W during 4.04 s [measurement time: 0.0004]
[codecarbon INFO @ 13:02:15] Energy consumed for all GPUs : 0.000728 kWh. Total GPU Power : 161.81244025187812 W
[codecarbon DEBUG @ 13:02:15] GPU : 161.81 W during 4.04 s [measurement time: 0.0024]
[codecarbon INFO @ 13:02:15] Energy consumed for all CPUs : 0.000192 kWh. Total CPU Power : 42.5 W
[codecarbon DEBUG @ 13:02:15] CPU : 42.50 W during 4.04 s [measurement time: 0.0000]
[codecarbon INFO @ 13:02:15] 0.000922 kWh of electricity used since the beginning.
[codecarbon DEBUG @ 13:02:15] last_duration=4.036086341999976
------------------------
[codecarbon DEBUG @ 13:02:15] EmissionsData(timestamp='2024-10-08T13:02:15', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=4.03931347199989, emissions=0.00034034244004413366, emissions_rate=8.425749633034248e-05, cpu_power=42.5, gpu_power=161.81244025187812, ram_power=0.3441195487976074, cpu_energy=0.00019244719350277567, gpu_energy=0.00072800613796, ram_energy=1.5481412498839128e-06, energy_consumed=0.0009220014727126596, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
[codecarbon DEBUG @ 13:02:15] EmissionsData(timestamp='2024-10-08T13:02:15', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.002023970999971425, emissions=0.00034034244004413366, emissions_rate=0.16815578881759605, cpu_power=42.5, gpu_power=161.81244025187812, ram_power=0.3441195487976074, cpu_energy=0.00019244719350277567, gpu_energy=0.00072800613796, ram_energy=1.5481412498839128e-06, energy_consumed=0.0009220014727126596, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)

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[codecarbon WARNING @ 13:02:19] Background scheduler didn't run for a long period (3s), results might be inaccurate
[codecarbon INFO @ 13:02:19] Energy consumed for RAM : 0.000002 kWh. RAM Power : 0.3441195487976074 W
[codecarbon DEBUG @ 13:02:19] RAM : 0.34 W during 3.94 s [measurement time: 0.0004]
[codecarbon INFO @ 13:02:19] Energy consumed for all GPUs : 0.000913 kWh. Total GPU Power : 169.19881768534145 W
[codecarbon DEBUG @ 13:02:19] GPU : 169.20 W during 3.94 s [measurement time: 0.0036]
[codecarbon INFO @ 13:02:19] Energy consumed for all CPUs : 0.000239 kWh. Total CPU Power : 42.5 W
[codecarbon DEBUG @ 13:02:19] CPU : 42.50 W during 3.94 s [measurement time: 0.0000]
[codecarbon INFO @ 13:02:19] 0.001154 kWh of electricity used since the beginning.
[codecarbon DEBUG @ 13:02:19] last_duration=3.9353076109999847
------------------------
[codecarbon DEBUG @ 13:02:19] EmissionsData(timestamp='2024-10-08T13:02:19', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.939801181000007, emissions=0.00042593804655264846, emissions_rate=0.00010811155867630258, cpu_power=42.5, gpu_power=169.19881768534145, ram_power=0.3441195487976074, cpu_energy=0.00023895755629652494, gpu_energy=0.0009130015637339997, ram_energy=1.924322054952754e-06, energy_consumed=0.0011538834420854775, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
[codecarbon DEBUG @ 13:02:19] EmissionsData(timestamp='2024-10-08T13:02:19', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.00672881499997402, emissions=0.00042593804655264846, emissions_rate=0.06330060293741067, cpu_power=42.5, gpu_power=169.19881768534145, ram_power=0.3441195487976074, cpu_energy=0.00023895755629652494, gpu_energy=0.0009130015637339997, ram_energy=1.924322054952754e-06, energy_consumed=0.0011538834420854775, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)

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[codecarbon WARNING @ 13:02:23] Background scheduler didn't run for a long period (3s), results might be inaccurate
[codecarbon INFO @ 13:02:23] Energy consumed for RAM : 0.000002 kWh. RAM Power : 0.34412240982055664 W
[codecarbon DEBUG @ 13:02:23] RAM : 0.34 W during 3.91 s [measurement time: 0.0004]
[codecarbon INFO @ 13:02:23] Energy consumed for all GPUs : 0.001094 kWh. Total GPU Power : 166.44713882712838 W
[codecarbon DEBUG @ 13:02:23] GPU : 166.45 W during 3.91 s [measurement time: 0.0023]
[codecarbon INFO @ 13:02:23] Energy consumed for all CPUs : 0.000285 kWh. Total CPU Power : 42.5 W
[codecarbon DEBUG @ 13:02:23] CPU : 42.50 W during 3.91 s [measurement time: 0.0000]
[codecarbon INFO @ 13:02:23] 0.001381 kWh of electricity used since the beginning.
[codecarbon DEBUG @ 13:02:23] last_duration=3.9068080260000215
------------------------
[codecarbon DEBUG @ 13:02:23] EmissionsData(timestamp='2024-10-08T13:02:23', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.9099457949999987, emissions=0.0005098047109615491, emissions_rate=0.00013038664413544618, cpu_power=42.5, gpu_power=166.44713882712838, ram_power=0.34412240982055664, cpu_energy=0.00028511548199652555, gpu_energy=0.0010936683749340004, ram_energy=2.2977802624369826e-06, energy_consumed=0.001381081637192963, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
[codecarbon DEBUG @ 13:02:23] EmissionsData(timestamp='2024-10-08T13:02:23', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.002026291999982277, emissions=0.0005098047109615491, emissions_rate=0.2515948890712731, cpu_power=42.5, gpu_power=166.44713882712838, ram_power=0.34412240982055664, cpu_energy=0.00028511548199652555, gpu_energy=0.0010936683749340004, ram_energy=2.2977802624369826e-06, energy_consumed=0.001381081637192963, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)

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[codecarbon WARNING @ 13:02:27] Background scheduler didn't run for a long period (3s), results might be inaccurate
[codecarbon INFO @ 13:02:27] Energy consumed for RAM : 0.000003 kWh. RAM Power : 0.34412240982055664 W
[codecarbon DEBUG @ 13:02:27] RAM : 0.34 W during 3.88 s [measurement time: 0.0004]
[codecarbon INFO @ 13:02:27] Energy consumed for all GPUs : 0.001276 kWh. Total GPU Power : 168.879760235557 W
[codecarbon DEBUG @ 13:02:27] GPU : 168.88 W during 3.88 s [measurement time: 0.0025]
[codecarbon INFO @ 13:02:27] Energy consumed for all CPUs : 0.000331 kWh. Total CPU Power : 42.5 W
[codecarbon DEBUG @ 13:02:27] CPU : 42.50 W during 3.89 s [measurement time: 0.0000]
[codecarbon INFO @ 13:02:27] 0.001610 kWh of electricity used since the beginning.
[codecarbon DEBUG @ 13:02:27] EmissionsData(timestamp='2024-10-08T13:02:27', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.8871041779999587, emissions=0.0005941470596458625, emissions_rate=0.00015285081964321585, cpu_power=42.5, gpu_power=168.879760235557, ram_power=0.34412240982055664, cpu_energy=0.00033100397732916396, gpu_energy=0.0012758954651600008, ram_energy=2.669037804816254e-06, energy_consumed=0.001609568480293981, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
[codecarbon INFO @ 13:02:27] 0.021709 g.CO2eq/s mean an estimation of 684.6247066740339 kg.CO2eq/year
[codecarbon DEBUG @ 13:02:27] last_duration=3.883787933000008
------------------------
[codecarbon DEBUG @ 13:02:27] EmissionsData(timestamp='2024-10-08T13:02:27', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.8874427140000307, emissions=0.0005941470596458625, emissions_rate=0.0001528375087062075, cpu_power=42.5, gpu_power=168.879760235557, ram_power=0.34412240982055664, cpu_energy=0.00033100397732916396, gpu_energy=0.0012758954651600008, ram_energy=2.669037804816254e-06, energy_consumed=0.001609568480293981, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
[codecarbon DEBUG @ 13:02:27] EmissionsData(timestamp='2024-10-08T13:02:27', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.005072793999943315, emissions=0.0005941470596458625, emissions_rate=0.11712422378131297, cpu_power=42.5, gpu_power=168.879760235557, ram_power=0.34412240982055664, cpu_energy=0.00033100397732916396, gpu_energy=0.0012758954651600008, ram_energy=2.669037804816254e-06, energy_consumed=0.001609568480293981, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)

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[codecarbon WARNING @ 13:02:31] Background scheduler didn't run for a long period (3s), results might be inaccurate
[codecarbon INFO @ 13:02:31] Energy consumed for RAM : 0.000003 kWh. RAM Power : 0.34412240982055664 W
[codecarbon DEBUG @ 13:02:31] RAM : 0.34 W during 3.93 s [measurement time: 0.0004]
[codecarbon INFO @ 13:02:31] Energy consumed for all GPUs : 0.001458 kWh. Total GPU Power : 166.45990558993896 W
[codecarbon DEBUG @ 13:02:31] GPU : 166.46 W during 3.93 s [measurement time: 0.0023]
[codecarbon INFO @ 13:02:31] Energy consumed for all CPUs : 0.000377 kWh. Total CPU Power : 42.5 W
[codecarbon DEBUG @ 13:02:31] CPU : 42.50 W during 3.93 s [measurement time: 0.0000]
[codecarbon INFO @ 13:02:31] 0.001838 kWh of electricity used since the beginning.
[codecarbon DEBUG @ 13:02:31] last_duration=3.9277428439999085
------------------------
[codecarbon DEBUG @ 13:02:31] EmissionsData(timestamp='2024-10-08T13:02:31', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.930906269999923, emissions=0.000678468780911744, emissions_rate=0.00017259856488813132, cpu_power=42.5, gpu_power=166.45990558993896, ram_power=0.34412240982055664, cpu_energy=0.00037740933536110764, gpu_energy=0.00145754561048, ram_energy=3.0444970408115106e-06, energy_consumed=0.0018379994428819194, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
[codecarbon DEBUG @ 13:02:31] EmissionsData(timestamp='2024-10-08T13:02:31', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.0020576900000151, emissions=0.000678468780911744, emissions_rate=0.3297235156446137, cpu_power=42.5, gpu_power=166.45990558993896, ram_power=0.34412240982055664, cpu_energy=0.00037740933536110764, gpu_energy=0.00145754561048, ram_energy=3.0444970408115106e-06, energy_consumed=0.0018379994428819194, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)

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[codecarbon WARNING @ 13:02:35] Background scheduler didn't run for a long period (3s), results might be inaccurate
[codecarbon INFO @ 13:02:35] Energy consumed for RAM : 0.000003 kWh. RAM Power : 0.34412240982055664 W
[codecarbon DEBUG @ 13:02:35] RAM : 0.34 W during 3.96 s [measurement time: 0.0004]
[codecarbon INFO @ 13:02:35] Energy consumed for all GPUs : 0.001643 kWh. Total GPU Power : 168.260425038011 W
[codecarbon DEBUG @ 13:02:35] GPU : 168.26 W during 3.96 s [measurement time: 0.0067]
[codecarbon INFO @ 13:02:35] Energy consumed for all CPUs : 0.000424 kWh. Total CPU Power : 42.5 W
[codecarbon DEBUG @ 13:02:35] CPU : 42.50 W during 3.97 s [measurement time: 0.0000]
[codecarbon INFO @ 13:02:35] 0.002071 kWh of electricity used since the beginning.
[codecarbon DEBUG @ 13:02:35] last_duration=3.963194380999994
------------------------
[codecarbon DEBUG @ 13:02:35] EmissionsData(timestamp='2024-10-08T13:02:35', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.9707531710000694, emissions=0.0007643019785847099, emissions_rate=0.00019248287306466186, cpu_power=42.5, gpu_power=168.260425038011, ram_power=0.34412240982055664, cpu_energy=0.00042428511917569123, gpu_energy=0.0016428165920300006, ram_energy=3.423345149084833e-06, energy_consumed=0.002070525056354777, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
[codecarbon DEBUG @ 13:02:35] EmissionsData(timestamp='2024-10-08T13:02:35', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.0020522500000197397, emissions=0.0007643019785847099, emissions_rate=0.3724214781714501, cpu_power=42.5, gpu_power=168.260425038011, ram_power=0.34412240982055664, cpu_energy=0.00042428511917569123, gpu_energy=0.0016428165920300006, ram_energy=3.423345149084833e-06, energy_consumed=0.002070525056354777, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)

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[codecarbon WARNING @ 13:02:39] Background scheduler didn't run for a long period (3s), results might be inaccurate
[codecarbon INFO @ 13:02:39] Energy consumed for RAM : 0.000004 kWh. RAM Power : 0.34412240982055664 W
[codecarbon DEBUG @ 13:02:39] RAM : 0.34 W during 3.94 s [measurement time: 0.0004]
[codecarbon INFO @ 13:02:39] Energy consumed for all GPUs : 0.001825 kWh. Total GPU Power : 166.0055014943033 W
[codecarbon DEBUG @ 13:02:39] GPU : 166.01 W during 3.94 s [measurement time: 0.0022]
[codecarbon INFO @ 13:02:39] Energy consumed for all CPUs : 0.000471 kWh. Total CPU Power : 42.5 W
[codecarbon DEBUG @ 13:02:39] CPU : 42.50 W during 3.94 s [measurement time: 0.0000]
[codecarbon INFO @ 13:02:39] 0.002299 kWh of electricity used since the beginning.
[codecarbon DEBUG @ 13:02:39] last_duration=3.941462545000036
------------------------
[codecarbon DEBUG @ 13:02:39] EmissionsData(timestamp='2024-10-08T13:02:39', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.9445968759999914, emissions=0.0008487342972597723, emissions_rate=0.00021516376043993353, cpu_power=42.5, gpu_power=166.0055014943033, ram_power=0.34412240982055664, cpu_energy=0.00047085211187360723, gpu_energy=0.001824603404126001, ram_energy=3.8001158098703305e-06, energy_consumed=0.002299255631809479, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
