diff --git "a/error.log" "b/error.log"
new file mode 100644--- /dev/null
+++ "b/error.log"
@@ -0,0 +1,985 @@
+/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(
+[codecarbon INFO @ 18:21:18] [setup] RAM Tracking...
+[codecarbon INFO @ 18:21:18] [setup] GPU Tracking...
+[codecarbon INFO @ 18:21:18] Tracking Nvidia GPU via pynvml
+[codecarbon DEBUG @ 18:21:18] GPU available. Starting setup
+[codecarbon INFO @ 18:21:18] [setup] CPU Tracking...
+[codecarbon DEBUG @ 18:21:18] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
+[codecarbon DEBUG @ 18:21:18] 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 @ 18:21:18] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
+[codecarbon WARNING @ 18:21:18] No CPU tracking mode found. Falling back on CPU constant mode.
+[codecarbon WARNING @ 18:21:19] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
+[codecarbon INFO @ 18:21:19] CPU Model on constant consumption mode: AMD EPYC 7R32
+[codecarbon INFO @ 18:21:19] >>> Tracker's metadata:
+[codecarbon INFO @ 18:21:19]   Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
+[codecarbon INFO @ 18:21:19]   Python version: 3.9.20
+[codecarbon INFO @ 18:21:19]   CodeCarbon version: 2.5.1
+[codecarbon INFO @ 18:21:19]   Available RAM : 186.705 GB
+[codecarbon INFO @ 18:21:19]   CPU count: 48
+[codecarbon INFO @ 18:21:19]   CPU model: AMD EPYC 7R32
+[codecarbon INFO @ 18:21:19]   GPU count: 1
+[codecarbon INFO @ 18:21:19]   GPU model: 1 x NVIDIA A10G
+[codecarbon DEBUG @ 18:21:20] Not running on AWS
+[codecarbon DEBUG @ 18:21:21] Not running on Azure
+[codecarbon DEBUG @ 18:21:22] Not running on GCP
+[codecarbon INFO @ 18:21:22] Saving emissions data to file /runs/codecarbon.csv
+[codecarbon DEBUG @ 18:21:22] EmissionsData(timestamp='2024-10-07T18:21:22', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.0021516569540835917, 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)
+[codecarbon INFO @ 18:21:22] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.2622342109680176 W
+[codecarbon DEBUG @ 18:21:22] RAM : 0.26 W during 0.03 s [measurement time: 0.0005]
+[codecarbon INFO @ 18:21:22] Energy consumed for all GPUs : 0.000000 kWh. Total GPU Power : 0.0 W
+[codecarbon DEBUG @ 18:21:22] GPU : 0.00 W during 0.03 s [measurement time: 0.0022]
+[codecarbon INFO @ 18:21:22] Energy consumed for all CPUs : 0.000000 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 18:21:22] CPU : 42.50 W during 0.03 s [measurement time: 0.0000]
+[codecarbon INFO @ 18:21:22] 0.000000 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 18:21:22] last_duration=0.02913639898179099
+------------------------
+[codecarbon DEBUG @ 18:21:22] EmissionsData(timestamp='2024-10-07T18:21:22', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.03220585797680542, emissions=1.4065464079452445e-07, emissions_rate=4.36736201519064e-06, cpu_power=42.5, gpu_power=0.0, ram_power=0.2622342109680176, cpu_energy=3.789163760100362e-07, gpu_energy=0.0, ram_energy=2.122750170069354e-09, energy_consumed=3.8103912618010555e-07, 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 @ 18:21:23] EmissionsData(timestamp='2024-10-07T18:21:23', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.0021628469694405794, emissions=1.4065464079452445e-07, emissions_rate=6.50321741583524e-05, cpu_power=42.5, gpu_power=0.0, ram_power=0.2622342109680176, cpu_energy=3.789163760100362e-07, gpu_energy=0.0, ram_energy=2.122750170069354e-09, energy_consumed=3.8103912618010555e-07, 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 @ 18:21:33] Background scheduler didn't run for a long period (9s), results might be inaccurate
+[codecarbon INFO @ 18:21:33] Energy consumed for RAM : 0.000001 kWh. RAM Power : 0.37560224533081055 W
+[codecarbon DEBUG @ 18:21:33] RAM : 0.38 W during 10.00 s [measurement time: 0.0004]
+[codecarbon INFO @ 18:21:33] Energy consumed for all GPUs : 0.000575 kWh. Total GPU Power : 206.86010261651086 W
+[codecarbon DEBUG @ 18:21:33] GPU : 206.86 W during 10.00 s [measurement time: 0.0023]
+[codecarbon INFO @ 18:21:33] Energy consumed for all CPUs : 0.000118 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 18:21:33] CPU : 42.50 W during 10.00 s [measurement time: 0.0000]
+[codecarbon INFO @ 18:21:33] 0.000694 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 18:21:33] last_duration=9.99766578496201
+------------------------
+[codecarbon DEBUG @ 18:21:33] EmissionsData(timestamp='2024-10-07T18:21:33', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=10.000919475976843, emissions=0.0002561848350256192, emissions_rate=2.561612816111553e-05, cpu_power=42.5, gpu_power=206.86010261651086, ram_power=0.37560224533081055, cpu_energy=0.00011844413188652349, gpu_energy=0.0005745257373979129, ram_energy=1.045238410158554e-06, energy_consumed=0.0006940151076945949, 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 @ 18:21:33] EmissionsData(timestamp='2024-10-07T18:21:33', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.0020105059957131743, emissions=0.0002561848350256192, emissions_rate=0.127423064428487, cpu_power=42.5, gpu_power=206.86010261651086, ram_power=0.37560224533081055, cpu_energy=0.00011844413188652349, gpu_energy=0.0005745257373979129, ram_energy=1.045238410158554e-06, energy_consumed=0.0006940151076945949, 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 @ 18:21:43] Background scheduler didn't run for a long period (9s), results might be inaccurate
+[codecarbon INFO @ 18:21:43] Energy consumed for RAM : 0.000002 kWh. RAM Power : 0.37569379806518555 W
+[codecarbon DEBUG @ 18:21:43] RAM : 0.38 W during 9.95 s [measurement time: 0.0004]
+[codecarbon INFO @ 18:21:43] Energy consumed for all GPUs : 0.001149 kWh. Total GPU Power : 207.74912185122844 W
+[codecarbon DEBUG @ 18:21:43] GPU : 207.75 W during 9.95 s [measurement time: 0.0023]
+[codecarbon INFO @ 18:21:43] Energy consumed for all CPUs : 0.000236 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 18:21:43] CPU : 42.50 W during 9.95 s [measurement time: 0.0000]
+[codecarbon INFO @ 18:21:43] 0.001387 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 18:21:43] last_duration=9.950208894966636
+------------------------
+[codecarbon DEBUG @ 18:21:43] EmissionsData(timestamp='2024-10-07T18:21:43', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.953405004984234, emissions=0.0005119189639715561, emissions_rate=5.143154163979154e-05, cpu_power=42.5, gpu_power=207.74912185122844, ram_power=0.37569379806518555, cpu_energy=0.0002359482812617999, gpu_energy=0.001148777307909743, ram_energy=2.0836451693422713e-06, energy_consumed=0.0013868092343408852, 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 @ 18:21:43] EmissionsData(timestamp='2024-10-07T18:21:43', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.0020230559748597443, emissions=0.0005119189639715561, emissions_rate=0.25304241223827073, cpu_power=42.5, gpu_power=207.74912185122844, ram_power=0.37569379806518555, cpu_energy=0.0002359482812617999, gpu_energy=0.001148777307909743, ram_energy=2.0836451693422713e-06, energy_consumed=0.0013868092343408852, 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 @ 18:21:53] Background scheduler didn't run for a long period (9s), results might be inaccurate
+[codecarbon INFO @ 18:21:53] Energy consumed for RAM : 0.000003 kWh. RAM Power : 0.37569379806518555 W
+[codecarbon DEBUG @ 18:21:53] RAM : 0.38 W during 9.93 s [measurement time: 0.0004]
+[codecarbon INFO @ 18:21:53] Energy consumed for all GPUs : 0.001719 kWh. Total GPU Power : 206.70872584047714 W
+[codecarbon DEBUG @ 18:21:53] GPU : 206.71 W during 9.93 s [measurement time: 0.0023]
+[codecarbon INFO @ 18:21:53] Energy consumed for all CPUs : 0.000353 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 18:21:53] CPU : 42.50 W during 9.93 s [measurement time: 0.0000]
+[codecarbon INFO @ 18:21:53] 0.002075 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 18:21:53] last_duration=9.927938432025257
+------------------------
+[codecarbon DEBUG @ 18:21:53] EmissionsData(timestamp='2024-10-07T18:21:53', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.931118632026482, emissions=0.0007660216043713403, emissions_rate=7.713346630469468e-05, cpu_power=42.5, gpu_power=206.70872584047714, ram_power=0.37569379806518555, cpu_energy=0.00035318943435688397, gpu_energy=0.0017188744306539938, ram_energy=3.1197273395338765e-06, energy_consumed=0.0020751835923504118, 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 @ 18:21:53] EmissionsData(timestamp='2024-10-07T18:21:53', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.0022015179856680334, emissions=0.0007660216043713403, emissions_rate=0.34795155404505906, cpu_power=42.5, gpu_power=206.70872584047714, ram_power=0.37569379806518555, cpu_energy=0.00035318943435688397, gpu_energy=0.0017188744306539938, ram_energy=3.1197273395338765e-06, energy_consumed=0.0020751835923504118, 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 @ 18:22:02] Background scheduler didn't run for a long period (9s), results might be inaccurate
+[codecarbon INFO @ 18:22:03] Energy consumed for RAM : 0.000004 kWh. RAM Power : 0.37569379806518555 W
+[codecarbon DEBUG @ 18:22:03] RAM : 0.38 W during 9.89 s [measurement time: 0.0004]
+[codecarbon INFO @ 18:22:03] Energy consumed for all GPUs : 0.002289 kWh. Total GPU Power : 207.61972369117532 W
+[codecarbon DEBUG @ 18:22:03] GPU : 207.62 W during 9.89 s [measurement time: 0.0023]
+[codecarbon INFO @ 18:22:03] Energy consumed for all CPUs : 0.000470 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 18:22:03] CPU : 42.50 W during 9.90 s [measurement time: 0.0000]
+[codecarbon INFO @ 18:22:03] 0.002764 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 18:22:03] last_duration=9.893429509014823
+------------------------
+[codecarbon DEBUG @ 18:22:03] EmissionsData(timestamp='2024-10-07T18:22:03', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.896559398970567, emissions=0.0010201644668895798, emissions_rate=0.00010308274075490282, cpu_power=42.5, gpu_power=207.61972369117532, ram_power=0.37569379806518555, cpu_energy=0.0004700225947360094, gpu_energy=0.002289492109369906, ram_energy=4.1522096041317944e-06, energy_consumed=0.0027636669137100474, 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 @ 18:22:03] EmissionsData(timestamp='2024-10-07T18:22:03', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.0020323150092735887, emissions=0.0010201644668895798, emissions_rate=0.501971624592891, cpu_power=42.5, gpu_power=207.61972369117532, ram_power=0.37569379806518555, cpu_energy=0.0004700225947360094, gpu_energy=0.002289492109369906, ram_energy=4.1522096041317944e-06, energy_consumed=0.0027636669137100474, 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 @ 18:22:12] Background scheduler didn't run for a long period (9s), results might be inaccurate
+[codecarbon INFO @ 18:22:12] Energy consumed for RAM : 0.000005 kWh. RAM Power : 0.3757052421569824 W
+[codecarbon DEBUG @ 18:22:12] RAM : 0.38 W during 9.90 s [measurement time: 0.0004]
+[codecarbon INFO @ 18:22:12] Energy consumed for all GPUs : 0.002861 kWh. Total GPU Power : 207.88392366276997 W
+[codecarbon DEBUG @ 18:22:12] GPU : 207.88 W during 9.90 s [measurement time: 0.0022]
+[codecarbon INFO @ 18:22:12] Energy consumed for all CPUs : 0.000587 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 18:22:12] CPU : 42.50 W during 9.90 s [measurement time: 0.0000]
+[codecarbon INFO @ 18:22:12] 0.003453 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 18:22:12] last_duration=9.89903917897027
+------------------------
+[codecarbon DEBUG @ 18:22:12] EmissionsData(timestamp='2024-10-07T18:22:12', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.902114009018987, emissions=0.0012747189467090688, emissions_rate=0.00012873200061603375, cpu_power=42.5, gpu_power=207.88392366276997, ram_power=0.3757052421569824, cpu_energy=0.0005869213376917388, gpu_energy=0.00286115867781378, ram_energy=5.185307526443883e-06, energy_consumed=0.003453265323031963, 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 @ 18:22:12] EmissionsData(timestamp='2024-10-07T18:22:12', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.0020108750322833657, emissions=0.0012747189467090688, emissions_rate=0.6339125635577735, cpu_power=42.5, gpu_power=207.88392366276997, ram_power=0.3757052421569824, cpu_energy=0.0005869213376917388, gpu_energy=0.00286115867781378, ram_energy=5.185307526443883e-06, energy_consumed=0.003453265323031963, 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 @ 18:22:22] Background scheduler didn't run for a long period (9s), results might be inaccurate
+[codecarbon INFO @ 18:22:22] Energy consumed for RAM : 0.000006 kWh. RAM Power : 0.3757052421569824 W
+[codecarbon DEBUG @ 18:22:22] RAM : 0.38 W during 9.89 s [measurement time: 0.0004]
+[codecarbon INFO @ 18:22:22] Energy consumed for all GPUs : 0.003434 kWh. Total GPU Power : 208.51405542338682 W
+[codecarbon DEBUG @ 18:22:22] GPU : 208.51 W during 9.89 s [measurement time: 0.0023]
+[codecarbon INFO @ 18:22:22] Energy consumed for all CPUs : 0.000704 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 18:22:22] CPU : 42.50 W during 9.89 s [measurement time: 0.0000]
+[codecarbon INFO @ 18:22:22] 0.004144 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 18:22:22] last_duration=9.886268119036686
+------------------------
+[codecarbon DEBUG @ 18:22:22] EmissionsData(timestamp='2024-10-07T18:22:22', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.889388080046047, emissions=0.0015295844607083173, emissions_rate=0.0001546692725907461, cpu_power=42.5, gpu_power=208.51405542338682, ram_power=0.3757052421569824, cpu_energy=0.0007036698503492113, gpu_energy=0.0034338194137202294, ram_energy=6.217072491437378e-06, energy_consumed=0.004143706336560879, 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 @ 18:22:22] EmissionsData(timestamp='2024-10-07T18:22:22', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.002187807986047119, emissions=0.0015295844607083173, emissions_rate=0.6991401761321546, cpu_power=42.5, gpu_power=208.51405542338682, ram_power=0.3757052421569824, cpu_energy=0.0007036698503492113, gpu_energy=0.0034338194137202294, ram_energy=6.217072491437378e-06, energy_consumed=0.004143706336560879, 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 @ 18:22:32] Background scheduler didn't run for a long period (9s), results might be inaccurate
+[codecarbon INFO @ 18:22:32] Energy consumed for RAM : 0.000007 kWh. RAM Power : 0.3757052421569824 W
+[codecarbon DEBUG @ 18:22:32] RAM : 0.38 W during 9.90 s [measurement time: 0.0004]
+[codecarbon INFO @ 18:22:32] Energy consumed for all GPUs : 0.004007 kWh. Total GPU Power : 208.5490260850612 W
+[codecarbon DEBUG @ 18:22:32] GPU : 208.55 W during 9.90 s [measurement time: 0.0023]
+[codecarbon INFO @ 18:22:32] Energy consumed for all CPUs : 0.000821 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 18:22:32] CPU : 42.50 W during 9.90 s [measurement time: 0.0000]
+[codecarbon INFO @ 18:22:32] 0.004835 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 18:22:32] EmissionsData(timestamp='2024-10-07T18:22:32', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.902371668023989, emissions=0.001784820183482749, emissions_rate=0.0001802416878823241, cpu_power=42.5, gpu_power=208.5490260850612, ram_power=0.3757052421569824, cpu_energy=0.000820571861661463, gpu_energy=0.004007328205859917, ram_energy=7.25019315425267e-06, energy_consumed=0.004835150260675633, 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 @ 18:22:32] 0.025781 g.CO2eq/s mean an estimation of 813.0266939692607 kg.CO2eq/year
+[codecarbon DEBUG @ 18:22:32] last_duration=9.899256677017547
+------------------------
+[codecarbon DEBUG @ 18:22:32] EmissionsData(timestamp='2024-10-07T18:22:32', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.902706962020602, emissions=0.001784820183482749, emissions_rate=0.00018023558511101945, cpu_power=42.5, gpu_power=208.5490260850612, ram_power=0.3757052421569824, cpu_energy=0.000820571861661463, gpu_energy=0.004007328205859917, ram_energy=7.25019315425267e-06, energy_consumed=0.004835150260675633, 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 @ 18:22:32] EmissionsData(timestamp='2024-10-07T18:22:32', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.002028496004641056, emissions=0.001784820183482749, emissions_rate=0.8798736499353246, cpu_power=42.5, gpu_power=208.5490260850612, ram_power=0.3757052421569824, cpu_energy=0.000820571861661463, gpu_energy=0.004007328205859917, ram_energy=7.25019315425267e-06, energy_consumed=0.004835150260675633, 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 @ 18:22:42] Background scheduler didn't run for a long period (9s), results might be inaccurate
+[codecarbon INFO @ 18:22:42] Energy consumed for RAM : 0.000008 kWh. RAM Power : 0.3757052421569824 W
+[codecarbon DEBUG @ 18:22:42] RAM : 0.38 W during 9.96 s [measurement time: 0.0004]
+[codecarbon INFO @ 18:22:42] Energy consumed for all GPUs : 0.004590 kWh. Total GPU Power : 210.6388452410173 W
+[codecarbon DEBUG @ 18:22:42] GPU : 210.64 W during 9.96 s [measurement time: 0.0060]
+[codecarbon INFO @ 18:22:42] Energy consumed for all CPUs : 0.000938 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 18:22:42] CPU : 42.50 W during 9.97 s [measurement time: 0.0000]
+[codecarbon INFO @ 18:22:42] 0.005537 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 18:22:42] last_duration=9.959751877002418
+------------------------
+[codecarbon DEBUG @ 18:22:42] EmissionsData(timestamp='2024-10-07T18:22:42', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.966598905040883, emissions=0.0020437661808493292, emissions_rate=0.0002050615461023156, cpu_power=42.5, gpu_power=210.6388452410173, ram_power=0.3757052421569824, cpu_energy=0.0009382318916048664, gpu_energy=0.004590123949874236, ram_energy=8.289627652096468e-06, energy_consumed=0.005536645469131199, 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 @ 18:22:42] EmissionsData(timestamp='2024-10-07T18:22:42', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.0020359070040285587, emissions=0.0020437661808493292, emissions_rate=1.0038602828150889, cpu_power=42.5, gpu_power=210.6388452410173, ram_power=0.3757052421569824, cpu_energy=0.0009382318916048664, gpu_energy=0.004590123949874236, ram_energy=8.289627652096468e-06, energy_consumed=0.005536645469131199, 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 @ 18:22:52] Background scheduler didn't run for a long period (9s), results might be inaccurate
+[codecarbon INFO @ 18:22:52] Energy consumed for RAM : 0.000009 kWh. RAM Power : 0.3757052421569824 W
+[codecarbon DEBUG @ 18:22:52] RAM : 0.38 W during 9.93 s [measurement time: 0.0004]
+[codecarbon INFO @ 18:22:52] Energy consumed for all GPUs : 0.005169 kWh. Total GPU Power : 209.8860425008778 W
+[codecarbon DEBUG @ 18:22:52] GPU : 209.89 W during 9.93 s [measurement time: 0.0051]
+[codecarbon INFO @ 18:22:52] Energy consumed for all CPUs : 0.001056 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 18:22:52] CPU : 42.50 W during 9.94 s [measurement time: 0.0000]
+[codecarbon INFO @ 18:22:52] 0.006234 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 18:22:52] last_duration=9.930053139047232
+------------------------
+[codecarbon DEBUG @ 18:22:52] EmissionsData(timestamp='2024-10-07T18:22:52', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.936000195040833, emissions=0.002301170257465178, emissions_rate=0.00023159925647079973, cpu_power=42.5, gpu_power=209.8860425008778, ram_power=0.3757052421569824, cpu_energy=0.0010555306763887428, gpu_energy=0.005169106913059718, ram_energy=9.325962291769866e-06, energy_consumed=0.00623396355174023, 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 @ 18:22:52] EmissionsData(timestamp='2024-10-07T18:22:52', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.002033527009189129, emissions=0.002301170257465178, emissions_rate=1.1316152906091825, cpu_power=42.5, gpu_power=209.8860425008778, ram_power=0.3757052421569824, cpu_energy=0.0010555306763887428, gpu_energy=0.005169106913059718, ram_energy=9.325962291769866e-06, energy_consumed=0.00623396355174023, 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 @ 18:23:02] Background scheduler didn't run for a long period (9s), results might be inaccurate
+[codecarbon INFO @ 18:23:02] Energy consumed for RAM : 0.000010 kWh. RAM Power : 0.3757052421569824 W
+[codecarbon DEBUG @ 18:23:02] RAM : 0.38 W during 9.94 s [measurement time: 0.0004]
+[codecarbon INFO @ 18:23:02] Energy consumed for all GPUs : 0.005757 kWh. Total GPU Power : 212.8152305048379 W
+[codecarbon DEBUG @ 18:23:02] GPU : 212.82 W during 9.94 s [measurement time: 0.0025]
+[codecarbon INFO @ 18:23:02] Energy consumed for all CPUs : 0.001173 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 18:23:02] CPU : 42.50 W during 9.95 s [measurement time: 0.0000]
+[codecarbon INFO @ 18:23:02] 0.006940 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 18:23:02] last_duration=9.942501444020309
+------------------------
+[codecarbon DEBUG @ 18:23:02] EmissionsData(timestamp='2024-10-07T18:23:02', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=9.945818146050442, emissions=0.0025618710062764185, emissions_rate=0.0002575827316221096, cpu_power=42.5, gpu_power=212.8152305048379, ram_power=0.3757052421569824, cpu_energy=0.001172945362461865, gpu_energy=0.005756903494407606, ram_energy=1.036359615408875e-05, energy_consumed=0.00694021245302356, 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 @ 18:23:02] EmissionsData(timestamp='2024-10-07T18:23:02', project_name='codecarbon', run_id='7c0f3a34-f2fd-4b75-8053-9a1cffb59eae', duration=0.00265198404667899, emissions=0.0025618710062764185, emissions_rate=0.9660205194237809, cpu_power=42.5, gpu_power=212.8152305048379, ram_power=0.3757052421569824, cpu_energy=0.001172945362461865, gpu_energy=0.005756903494407606, ram_energy=1.036359615408875e-05, energy_consumed=0.00694021245302356, 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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+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [82,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [83,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [84,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [85,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [86,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [87,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [88,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [89,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [90,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [91,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [92,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [93,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [94,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [512,0,0], thread: [95,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
+
  0%|          | 4/1000 [00:00<01:54,  8.71it/s]
+Error executing job with overrides: ['backend.model=cardiffnlp/twitter-roberta-base-sentiment-latest', 'backend.processor=cardiffnlp/twitter-roberta-base-sentiment-latest']
+Traceback (most recent call last):
+  File "/optimum-benchmark/optimum_benchmark/cli.py", line 65, in benchmark_cli
+    benchmark_report: BenchmarkReport = launch(experiment_config=experiment_config)
+  File "/optimum-benchmark/optimum_benchmark/experiment.py", line 102, in launch
+    raise error
+  File "/optimum-benchmark/optimum_benchmark/experiment.py", line 90, in launch
+    report = launcher.launch(run, experiment_config.benchmark, experiment_config.backend)
+  File "/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py", line 47, in launch
+    while not process_context.join():
+  File "/opt/conda/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 189, in join
+    raise ProcessRaisedException(msg, error_index, failed_process.pid)
+torch.multiprocessing.spawn.ProcessRaisedException: 
+
+-- Process 0 terminated with the following error:
+Traceback (most recent call last):
+  File "/opt/conda/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 76, in _wrap
+    fn(i, *args)
+  File "/optimum-benchmark/optimum_benchmark/launchers/process/launcher.py", line 63, in entrypoint
+    worker_output = worker(*worker_args)
+  File "/optimum-benchmark/optimum_benchmark/experiment.py", line 62, in run
+    benchmark.run(backend)
+  File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/benchmark.py", line 174, in run
+    self.run_text_generation_energy_tracking(backend)
+  File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/benchmark.py", line 218, in run_text_generation_energy_tracking
+    _ = backend.generate(inputs, self.config.generate_kwargs)
+  File "/opt/conda/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
+    return func(*args, **kwargs)
+  File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 355, in generate
+    return self.pretrained_model.generate(**inputs, **kwargs)
+  File "/opt/conda/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
+    return func(*args, **kwargs)
+  File "/opt/conda/lib/python3.9/site-packages/transformers/generation/utils.py", line 2024, in generate
+    result = self._sample(
+  File "/opt/conda/lib/python3.9/site-packages/transformers/generation/utils.py", line 2971, in _sample
+    while self._has_unfinished_sequences(
+  File "/opt/conda/lib/python3.9/site-packages/transformers/generation/utils.py", line 2208, in _has_unfinished_sequences
+    elif this_peer_finished:
+RuntimeError: CUDA error: device-side assert triggered
+CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
+For debugging consider passing CUDA_LAUNCH_BLOCKING=1
+Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
+
+
+
+Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.