model
stringlengths 11
65
| status
stringclasses 3
values | submitted_time
timestamp[us]date 2024-10-04 14:58:35
2025-10-08 15:04:20
| task
stringclasses 13
values | likes
int64 0
12.5k
| params
float64 0
685
| leaderboard_version
stringclasses 1
value | error_message
stringclasses 4
values |
|---|---|---|---|---|---|---|---|
meta-llama/Llama-3.2-1B
|
COMPLETED
| 2024-10-04T14:58:35 |
Text Generation
| 320 | 1.236 |
v0
| |
cardiffnlp/twitter-roberta-base-sentiment-latest
|
FAILED
| 2024-10-07T15:30:10 |
Text Classification
| 526 | 0 |
v0
|
/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 @ 23:20:33] [setup] RAM Tracking...
[codecarbon INFO @ 23:20:33] [setup] GPU Tracking...
[codecarbon INFO @ 23:20:33] Tracking Nvidia GPU via pynvml
[codecarbon DEBUG @ 23:20:33] GPU available. Starting setup
[codecarbon INFO @ 23:20:33] [setup] CPU Tracking...
[codecarbon DEBUG @ 23:20:33] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
[codecarbon DEBUG @ 23:20:33] 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 @ 23:20:33] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
[codecarbon WARNING @ 23:20:33] No CPU tracking mode found. Falling back on CPU constant mode.
[codecarbon WARNING @ 23:20:34] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
[codecarbon INFO @ 23:20:34] CPU Model on constant consumption mode: AMD EPYC 7R32
[codecarbon INFO @ 23:20:34] >>> Tracker's metadata:
[codecarbon INFO @ 23:20:34] Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
[codecarbon INFO @ 23:20:34] Python version: 3.9.20
[codecarbon INFO @ 23:20:34] CodeCarbon version: 2.5.1
[codecarbon INFO @ 23:20:34] Available RAM : 186.705 GB
[codecarbon INFO @ 23:20:34] CPU count: 48
[codecarbon INFO @ 23:20:34] CPU model: AMD EPYC 7R32
[codecarbon INFO @ 23:20:34] GPU count: 1
[codecarbon INFO @ 23:20:34] GPU model: 1 x NVIDIA A10G
[codecarbon DEBUG @ 23:20:35] Not running on AWS
[codecarbon DEBUG @ 23:20:36] Not running on Azure
[codecarbon DEBUG @ 23:20:37] Not running on GCP
[codecarbon INFO @ 23:20:37] Saving emissions data to file /runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-23-20-25/codecarbon.csv
[codecarbon DEBUG @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.0031156789045780897, 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 @ 23:20:38] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.27353525161743164 W
[codecarbon DEBUG @ 23:20:38] RAM : 0.27 W during 0.41 s [measurement time: 0.0005]
[codecarbon INFO @ 23:20:38] Energy consumed for all GPUs : 0.000007 kWh. Total GPU Power : 65.45066620881586 W
[codecarbon DEBUG @ 23:20:38] GPU : 65.45 W during 0.41 s [measurement time: 0.0022]
[codecarbon INFO @ 23:20:38] Energy consumed for all CPUs : 0.000005 kWh. Total CPU Power : 42.5 W
[codecarbon DEBUG @ 23:20:38] CPU : 42.50 W during 0.41 s [measurement time: 0.0000]
[codecarbon INFO @ 23:20:38] 0.000012 kWh of electricity used since the beginning.
[codecarbon DEBUG @ 23:20:38] last_duration=0.40900541795417666
------------------------
[codecarbon DEBUG @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.4121430969098583, emissions=4.5573209828862485e-06, emissions_rate=1.1057618135681164e-05, cpu_power=42.5, gpu_power=65.45066620881586, ram_power=0.27353525161743164, cpu_energy=4.864328597775764e-06, gpu_energy=7.450561515298659e-06, ram_energy=3.1077252325416766e-08, energy_consumed=1.234596736539984e-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 @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.002233574981801212, emissions=4.5573209828862485e-06, emissions_rate=0.002040370715117479, cpu_power=42.5, gpu_power=65.45066620881586, ram_power=0.27353525161743164, cpu_energy=4.864328597775764e-06, gpu_energy=7.450561515298659e-06, ram_energy=3.1077252325416766e-08, energy_consumed=1.234596736539984e-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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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 178, in run
self.run_inference_energy_tracking(backend)
File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/benchmark.py", line 262, in run_inference_energy_tracking
inputs = backend.prepare_inputs(inputs)
File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 338, in prepare_inputs
inputs[key] = value.to(self.config.device)
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.
|
cardiffnlp/twitter-roberta-base-sentiment-latest
|
FAILED
| 2024-10-07T17:51:22 |
Text Generation
| 526 | 0 |
v0
|
/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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Downloading data: 100%|██████████| 453k/453k [00:00<00:00, 2.83MB/s][A[A
Downloading data: 100%|██████████| 453k/453k [00:00<00:00, 2.83MB/s]
Generating train split: 0%| | 0/1000 [00:00<?, ? examples/s]
Generating train split: 100%|██████████| 1000/1000 [00:00<00:00, 201368.48 examples/s]
[codecarbon INFO @ 23:20:33] [setup] RAM Tracking...
[codecarbon INFO @ 23:20:33] [setup] GPU Tracking...
[codecarbon INFO @ 23:20:33] Tracking Nvidia GPU via pynvml
[codecarbon DEBUG @ 23:20:33] GPU available. Starting setup
[codecarbon INFO @ 23:20:33] [setup] CPU Tracking...
[codecarbon DEBUG @ 23:20:33] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
[codecarbon DEBUG @ 23:20:33] 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 @ 23:20:33] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
[codecarbon WARNING @ 23:20:33] No CPU tracking mode found. Falling back on CPU constant mode.
[codecarbon WARNING @ 23:20:34] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
[codecarbon INFO @ 23:20:34] CPU Model on constant consumption mode: AMD EPYC 7R32
[codecarbon INFO @ 23:20:34] >>> Tracker's metadata:
[codecarbon INFO @ 23:20:34] Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
[codecarbon INFO @ 23:20:34] Python version: 3.9.20
[codecarbon INFO @ 23:20:34] CodeCarbon version: 2.5.1
[codecarbon INFO @ 23:20:34] Available RAM : 186.705 GB
[codecarbon INFO @ 23:20:34] CPU count: 48
[codecarbon INFO @ 23:20:34] CPU model: AMD EPYC 7R32
[codecarbon INFO @ 23:20:34] GPU count: 1
[codecarbon INFO @ 23:20:34] GPU model: 1 x NVIDIA A10G
[codecarbon DEBUG @ 23:20:35] Not running on AWS
[codecarbon DEBUG @ 23:20:36] Not running on Azure
[codecarbon DEBUG @ 23:20:37] Not running on GCP
[codecarbon INFO @ 23:20:37] Saving emissions data to file /runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-23-20-25/codecarbon.csv
[codecarbon DEBUG @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.0031156789045780897, 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)
Filter: 0%| | 0/1000 [00:00<?, ? examples/s]
Filter: 100%|██████████| 1000/1000 [00:00<00:00, 159984.13 examples/s]
Running tokenizer on dataset: 0%| | 0/1000 [00:00<?, ? examples/s]
Running tokenizer on dataset: 100%|██████████| 1000/1000 [00:00<00:00, 2691.27 examples/s]
Running tokenizer on dataset: 100%|██████████| 1000/1000 [00:00<00:00, 2667.25 examples/s]
[codecarbon INFO @ 23:20:38] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.27353525161743164 W
[codecarbon DEBUG @ 23:20:38] RAM : 0.27 W during 0.41 s [measurement time: 0.0005]
[codecarbon INFO @ 23:20:38] Energy consumed for all GPUs : 0.000007 kWh. Total GPU Power : 65.45066620881586 W
[codecarbon DEBUG @ 23:20:38] GPU : 65.45 W during 0.41 s [measurement time: 0.0022]
[codecarbon INFO @ 23:20:38] Energy consumed for all CPUs : 0.000005 kWh. Total CPU Power : 42.5 W
[codecarbon DEBUG @ 23:20:38] CPU : 42.50 W during 0.41 s [measurement time: 0.0000]
[codecarbon INFO @ 23:20:38] 0.000012 kWh of electricity used since the beginning.
[codecarbon DEBUG @ 23:20:38] last_duration=0.40900541795417666
------------------------
[codecarbon DEBUG @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.4121430969098583, emissions=4.5573209828862485e-06, emissions_rate=1.1057618135681164e-05, cpu_power=42.5, gpu_power=65.45066620881586, ram_power=0.27353525161743164, cpu_energy=4.864328597775764e-06, gpu_energy=7.450561515298659e-06, ram_energy=3.1077252325416766e-08, energy_consumed=1.234596736539984e-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 @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.002233574981801212, emissions=4.5573209828862485e-06, emissions_rate=0.002040370715117479, cpu_power=42.5, gpu_power=65.45066620881586, ram_power=0.27353525161743164, cpu_energy=4.864328597775764e-06, gpu_energy=7.450561515298659e-06, ram_energy=3.1077252325416766e-08, energy_consumed=1.234596736539984e-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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/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [516,0,0], thread: [36,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
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/opt/conda/conda-bld/pytorch_1720538643151/work/aten/src/ATen/native/cuda/Indexing.cu:1284: indexSelectLargeIndex: block: [516,0,0], thread: [38,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
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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 178, in run
self.run_inference_energy_tracking(backend)
File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/benchmark.py", line 262, in run_inference_energy_tracking
inputs = backend.prepare_inputs(inputs)
File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 338, in prepare_inputs
inputs[key] = value.to(self.config.device)
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.
|
cardiffnlp/twitter-roberta-base-sentiment-latest
|
FAILED
| 2024-10-07T18:03:55 |
Text Generation
| 526 | 0 |
v0
|
/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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Downloading readme: 100%|██████████| 271/271 [00:00<00:00, 2.73MB/s]
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Downloading data: 100%|██████████| 453k/453k [00:00<00:00, 2.83MB/s][A[A
Downloading data: 100%|██████████| 453k/453k [00:00<00:00, 2.83MB/s]
Generating train split: 0%| | 0/1000 [00:00<?, ? examples/s]
Generating train split: 100%|██████████| 1000/1000 [00:00<00:00, 201368.48 examples/s]
[codecarbon INFO @ 23:20:33] [setup] RAM Tracking...
[codecarbon INFO @ 23:20:33] [setup] GPU Tracking...
[codecarbon INFO @ 23:20:33] Tracking Nvidia GPU via pynvml
[codecarbon DEBUG @ 23:20:33] GPU available. Starting setup
[codecarbon INFO @ 23:20:33] [setup] CPU Tracking...
[codecarbon DEBUG @ 23:20:33] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
[codecarbon DEBUG @ 23:20:33] 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 @ 23:20:33] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
[codecarbon WARNING @ 23:20:33] No CPU tracking mode found. Falling back on CPU constant mode.
[codecarbon WARNING @ 23:20:34] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
[codecarbon INFO @ 23:20:34] CPU Model on constant consumption mode: AMD EPYC 7R32
[codecarbon INFO @ 23:20:34] >>> Tracker's metadata:
[codecarbon INFO @ 23:20:34] Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
[codecarbon INFO @ 23:20:34] Python version: 3.9.20
[codecarbon INFO @ 23:20:34] CodeCarbon version: 2.5.1
[codecarbon INFO @ 23:20:34] Available RAM : 186.705 GB
[codecarbon INFO @ 23:20:34] CPU count: 48
[codecarbon INFO @ 23:20:34] CPU model: AMD EPYC 7R32
[codecarbon INFO @ 23:20:34] GPU count: 1
[codecarbon INFO @ 23:20:34] GPU model: 1 x NVIDIA A10G
[codecarbon DEBUG @ 23:20:35] Not running on AWS
[codecarbon DEBUG @ 23:20:36] Not running on Azure
[codecarbon DEBUG @ 23:20:37] Not running on GCP
[codecarbon INFO @ 23:20:37] Saving emissions data to file /runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-23-20-25/codecarbon.csv
[codecarbon DEBUG @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.0031156789045780897, 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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Running tokenizer on dataset: 100%|██████████| 1000/1000 [00:00<00:00, 2667.25 examples/s]
[codecarbon INFO @ 23:20:38] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.27353525161743164 W
[codecarbon DEBUG @ 23:20:38] RAM : 0.27 W during 0.41 s [measurement time: 0.0005]
[codecarbon INFO @ 23:20:38] Energy consumed for all GPUs : 0.000007 kWh. Total GPU Power : 65.45066620881586 W
[codecarbon DEBUG @ 23:20:38] GPU : 65.45 W during 0.41 s [measurement time: 0.0022]
[codecarbon INFO @ 23:20:38] Energy consumed for all CPUs : 0.000005 kWh. Total CPU Power : 42.5 W
[codecarbon DEBUG @ 23:20:38] CPU : 42.50 W during 0.41 s [measurement time: 0.0000]
[codecarbon INFO @ 23:20:38] 0.000012 kWh of electricity used since the beginning.
[codecarbon DEBUG @ 23:20:38] last_duration=0.40900541795417666
------------------------
[codecarbon DEBUG @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.4121430969098583, emissions=4.5573209828862485e-06, emissions_rate=1.1057618135681164e-05, cpu_power=42.5, gpu_power=65.45066620881586, ram_power=0.27353525161743164, cpu_energy=4.864328597775764e-06, gpu_energy=7.450561515298659e-06, ram_energy=3.1077252325416766e-08, energy_consumed=1.234596736539984e-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 @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.002233574981801212, emissions=4.5573209828862485e-06, emissions_rate=0.002040370715117479, cpu_power=42.5, gpu_power=65.45066620881586, ram_power=0.27353525161743164, cpu_energy=4.864328597775764e-06, gpu_energy=7.450561515298659e-06, ram_energy=3.1077252325416766e-08, energy_consumed=1.234596736539984e-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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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 178, in run
self.run_inference_energy_tracking(backend)
File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/benchmark.py", line 262, in run_inference_energy_tracking
inputs = backend.prepare_inputs(inputs)
File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 338, in prepare_inputs
inputs[key] = value.to(self.config.device)
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.
|
cardiffnlp/twitter-roberta-base-sentiment-latest
|
FAILED
| 2024-10-07T18:29:56 |
Text Classification
| 526 | 0 |
v0
|
/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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Generating train split: 0%| | 0/1000 [00:00<?, ? examples/s]
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[codecarbon INFO @ 23:20:33] [setup] RAM Tracking...
[codecarbon INFO @ 23:20:33] [setup] GPU Tracking...
[codecarbon INFO @ 23:20:33] Tracking Nvidia GPU via pynvml
[codecarbon DEBUG @ 23:20:33] GPU available. Starting setup
[codecarbon INFO @ 23:20:33] [setup] CPU Tracking...
[codecarbon DEBUG @ 23:20:33] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
[codecarbon DEBUG @ 23:20:33] 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 @ 23:20:33] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
[codecarbon WARNING @ 23:20:33] No CPU tracking mode found. Falling back on CPU constant mode.
[codecarbon WARNING @ 23:20:34] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
[codecarbon INFO @ 23:20:34] CPU Model on constant consumption mode: AMD EPYC 7R32
[codecarbon INFO @ 23:20:34] >>> Tracker's metadata:
[codecarbon INFO @ 23:20:34] Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
[codecarbon INFO @ 23:20:34] Python version: 3.9.20
[codecarbon INFO @ 23:20:34] CodeCarbon version: 2.5.1
[codecarbon INFO @ 23:20:34] Available RAM : 186.705 GB
[codecarbon INFO @ 23:20:34] CPU count: 48
[codecarbon INFO @ 23:20:34] CPU model: AMD EPYC 7R32
[codecarbon INFO @ 23:20:34] GPU count: 1
[codecarbon INFO @ 23:20:34] GPU model: 1 x NVIDIA A10G
[codecarbon DEBUG @ 23:20:35] Not running on AWS
[codecarbon DEBUG @ 23:20:36] Not running on Azure
[codecarbon DEBUG @ 23:20:37] Not running on GCP
[codecarbon INFO @ 23:20:37] Saving emissions data to file /runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-23-20-25/codecarbon.csv
[codecarbon DEBUG @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.0031156789045780897, 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)
Filter: 0%| | 0/1000 [00:00<?, ? examples/s]
Filter: 100%|██████████| 1000/1000 [00:00<00:00, 159984.13 examples/s]
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Running tokenizer on dataset: 100%|██████████| 1000/1000 [00:00<00:00, 2667.25 examples/s]
[codecarbon INFO @ 23:20:38] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.27353525161743164 W
[codecarbon DEBUG @ 23:20:38] RAM : 0.27 W during 0.41 s [measurement time: 0.0005]
[codecarbon INFO @ 23:20:38] Energy consumed for all GPUs : 0.000007 kWh. Total GPU Power : 65.45066620881586 W
[codecarbon DEBUG @ 23:20:38] GPU : 65.45 W during 0.41 s [measurement time: 0.0022]
[codecarbon INFO @ 23:20:38] Energy consumed for all CPUs : 0.000005 kWh. Total CPU Power : 42.5 W
[codecarbon DEBUG @ 23:20:38] CPU : 42.50 W during 0.41 s [measurement time: 0.0000]
[codecarbon INFO @ 23:20:38] 0.000012 kWh of electricity used since the beginning.
[codecarbon DEBUG @ 23:20:38] last_duration=0.40900541795417666
------------------------
[codecarbon DEBUG @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.4121430969098583, emissions=4.5573209828862485e-06, emissions_rate=1.1057618135681164e-05, cpu_power=42.5, gpu_power=65.45066620881586, ram_power=0.27353525161743164, cpu_energy=4.864328597775764e-06, gpu_energy=7.450561515298659e-06, ram_energy=3.1077252325416766e-08, energy_consumed=1.234596736539984e-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 @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.002233574981801212, emissions=4.5573209828862485e-06, emissions_rate=0.002040370715117479, cpu_power=42.5, gpu_power=65.45066620881586, ram_power=0.27353525161743164, cpu_energy=4.864328597775764e-06, gpu_energy=7.450561515298659e-06, ram_energy=3.1077252325416766e-08, energy_consumed=1.234596736539984e-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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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 178, in run
self.run_inference_energy_tracking(backend)
File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/benchmark.py", line 262, in run_inference_energy_tracking
inputs = backend.prepare_inputs(inputs)
File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 338, in prepare_inputs
inputs[key] = value.to(self.config.device)
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.
|
cardiffnlp/twitter-roberta-base-sentiment-latest
|
FAILED
| 2024-10-07T19:00:22 |
Text Classification
| 526 | 0 |
v0
|
/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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Downloading readme: 100%|██████████| 271/271 [00:00<00:00, 2.73MB/s]
Downloading data: 0%| | 0.00/453k [00:00<?, ?B/s][A[A
Downloading data: 100%|██████████| 453k/453k [00:00<00:00, 2.83MB/s][A[A
Downloading data: 100%|██████████| 453k/453k [00:00<00:00, 2.83MB/s]
Generating train split: 0%| | 0/1000 [00:00<?, ? examples/s]
Generating train split: 100%|██████████| 1000/1000 [00:00<00:00, 201368.48 examples/s]
[codecarbon INFO @ 23:20:33] [setup] RAM Tracking...
[codecarbon INFO @ 23:20:33] [setup] GPU Tracking...
[codecarbon INFO @ 23:20:33] Tracking Nvidia GPU via pynvml
[codecarbon DEBUG @ 23:20:33] GPU available. Starting setup
[codecarbon INFO @ 23:20:33] [setup] CPU Tracking...
[codecarbon DEBUG @ 23:20:33] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
[codecarbon DEBUG @ 23:20:33] 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 @ 23:20:33] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
[codecarbon WARNING @ 23:20:33] No CPU tracking mode found. Falling back on CPU constant mode.
[codecarbon WARNING @ 23:20:34] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
[codecarbon INFO @ 23:20:34] CPU Model on constant consumption mode: AMD EPYC 7R32
[codecarbon INFO @ 23:20:34] >>> Tracker's metadata:
[codecarbon INFO @ 23:20:34] Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
[codecarbon INFO @ 23:20:34] Python version: 3.9.20
[codecarbon INFO @ 23:20:34] CodeCarbon version: 2.5.1
[codecarbon INFO @ 23:20:34] Available RAM : 186.705 GB
[codecarbon INFO @ 23:20:34] CPU count: 48
[codecarbon INFO @ 23:20:34] CPU model: AMD EPYC 7R32
[codecarbon INFO @ 23:20:34] GPU count: 1
[codecarbon INFO @ 23:20:34] GPU model: 1 x NVIDIA A10G
[codecarbon DEBUG @ 23:20:35] Not running on AWS
[codecarbon DEBUG @ 23:20:36] Not running on Azure
[codecarbon DEBUG @ 23:20:37] Not running on GCP
[codecarbon INFO @ 23:20:37] Saving emissions data to file /runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-23-20-25/codecarbon.csv
[codecarbon DEBUG @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.0031156789045780897, 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)
Filter: 0%| | 0/1000 [00:00<?, ? examples/s]
Filter: 100%|██████████| 1000/1000 [00:00<00:00, 159984.13 examples/s]
Running tokenizer on dataset: 0%| | 0/1000 [00:00<?, ? examples/s]
Running tokenizer on dataset: 100%|██████████| 1000/1000 [00:00<00:00, 2691.27 examples/s]
Running tokenizer on dataset: 100%|██████████| 1000/1000 [00:00<00:00, 2667.25 examples/s]
[codecarbon INFO @ 23:20:38] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.27353525161743164 W
[codecarbon DEBUG @ 23:20:38] RAM : 0.27 W during 0.41 s [measurement time: 0.0005]
[codecarbon INFO @ 23:20:38] Energy consumed for all GPUs : 0.000007 kWh. Total GPU Power : 65.45066620881586 W
[codecarbon DEBUG @ 23:20:38] GPU : 65.45 W during 0.41 s [measurement time: 0.0022]
[codecarbon INFO @ 23:20:38] Energy consumed for all CPUs : 0.000005 kWh. Total CPU Power : 42.5 W
[codecarbon DEBUG @ 23:20:38] CPU : 42.50 W during 0.41 s [measurement time: 0.0000]
[codecarbon INFO @ 23:20:38] 0.000012 kWh of electricity used since the beginning.
[codecarbon DEBUG @ 23:20:38] last_duration=0.40900541795417666
------------------------
[codecarbon DEBUG @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.4121430969098583, emissions=4.5573209828862485e-06, emissions_rate=1.1057618135681164e-05, cpu_power=42.5, gpu_power=65.45066620881586, ram_power=0.27353525161743164, cpu_energy=4.864328597775764e-06, gpu_energy=7.450561515298659e-06, ram_energy=3.1077252325416766e-08, energy_consumed=1.234596736539984e-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 @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.002233574981801212, emissions=4.5573209828862485e-06, emissions_rate=0.002040370715117479, cpu_power=42.5, gpu_power=65.45066620881586, ram_power=0.27353525161743164, cpu_energy=4.864328597775764e-06, gpu_energy=7.450561515298659e-06, ram_energy=3.1077252325416766e-08, energy_consumed=1.234596736539984e-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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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 178, in run
self.run_inference_energy_tracking(backend)
File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/benchmark.py", line 262, in run_inference_energy_tracking
inputs = backend.prepare_inputs(inputs)
File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 338, in prepare_inputs
inputs[key] = value.to(self.config.device)
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.
|
cardiffnlp/twitter-roberta-base-sentiment-latest
|
FAILED
| 2024-10-07T19:36:45 |
Text Classification
| 526 | 0 |
v0
|
/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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Generating train split: 0%| | 0/1000 [00:00<?, ? examples/s]
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[codecarbon INFO @ 23:20:33] [setup] RAM Tracking...
[codecarbon INFO @ 23:20:33] [setup] GPU Tracking...
[codecarbon INFO @ 23:20:33] Tracking Nvidia GPU via pynvml
[codecarbon DEBUG @ 23:20:33] GPU available. Starting setup
[codecarbon INFO @ 23:20:33] [setup] CPU Tracking...
[codecarbon DEBUG @ 23:20:33] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
[codecarbon DEBUG @ 23:20:33] 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 @ 23:20:33] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
[codecarbon WARNING @ 23:20:33] No CPU tracking mode found. Falling back on CPU constant mode.
[codecarbon WARNING @ 23:20:34] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
[codecarbon INFO @ 23:20:34] CPU Model on constant consumption mode: AMD EPYC 7R32
[codecarbon INFO @ 23:20:34] >>> Tracker's metadata:
[codecarbon INFO @ 23:20:34] Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
[codecarbon INFO @ 23:20:34] Python version: 3.9.20
[codecarbon INFO @ 23:20:34] CodeCarbon version: 2.5.1
[codecarbon INFO @ 23:20:34] Available RAM : 186.705 GB
[codecarbon INFO @ 23:20:34] CPU count: 48
[codecarbon INFO @ 23:20:34] CPU model: AMD EPYC 7R32
[codecarbon INFO @ 23:20:34] GPU count: 1
[codecarbon INFO @ 23:20:34] GPU model: 1 x NVIDIA A10G
[codecarbon DEBUG @ 23:20:35] Not running on AWS
[codecarbon DEBUG @ 23:20:36] Not running on Azure
[codecarbon DEBUG @ 23:20:37] Not running on GCP
[codecarbon INFO @ 23:20:37] Saving emissions data to file /runs/text_classification/cardiffnlp/twitter-roberta-base-sentiment-latest/2024-10-07-23-20-25/codecarbon.csv
[codecarbon DEBUG @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.0031156789045780897, 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)
Filter: 0%| | 0/1000 [00:00<?, ? examples/s]
Filter: 100%|██████████| 1000/1000 [00:00<00:00, 159984.13 examples/s]
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Running tokenizer on dataset: 100%|██████████| 1000/1000 [00:00<00:00, 2667.25 examples/s]
[codecarbon INFO @ 23:20:38] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.27353525161743164 W
[codecarbon DEBUG @ 23:20:38] RAM : 0.27 W during 0.41 s [measurement time: 0.0005]
[codecarbon INFO @ 23:20:38] Energy consumed for all GPUs : 0.000007 kWh. Total GPU Power : 65.45066620881586 W
[codecarbon DEBUG @ 23:20:38] GPU : 65.45 W during 0.41 s [measurement time: 0.0022]
[codecarbon INFO @ 23:20:38] Energy consumed for all CPUs : 0.000005 kWh. Total CPU Power : 42.5 W
[codecarbon DEBUG @ 23:20:38] CPU : 42.50 W during 0.41 s [measurement time: 0.0000]
[codecarbon INFO @ 23:20:38] 0.000012 kWh of electricity used since the beginning.
[codecarbon DEBUG @ 23:20:38] last_duration=0.40900541795417666
------------------------
[codecarbon DEBUG @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.4121430969098583, emissions=4.5573209828862485e-06, emissions_rate=1.1057618135681164e-05, cpu_power=42.5, gpu_power=65.45066620881586, ram_power=0.27353525161743164, cpu_energy=4.864328597775764e-06, gpu_energy=7.450561515298659e-06, ram_energy=3.1077252325416766e-08, energy_consumed=1.234596736539984e-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 @ 23:20:38] EmissionsData(timestamp='2024-10-07T23:20:38', project_name='codecarbon', run_id='0e4bc046-c4df-4e48-866a-9a8d99e426db', duration=0.002233574981801212, emissions=4.5573209828862485e-06, emissions_rate=0.002040370715117479, cpu_power=42.5, gpu_power=65.45066620881586, ram_power=0.27353525161743164, cpu_energy=4.864328597775764e-06, gpu_energy=7.450561515298659e-06, ram_energy=3.1077252325416766e-08, energy_consumed=1.234596736539984e-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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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 178, in run
self.run_inference_energy_tracking(backend)
File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/benchmark.py", line 262, in run_inference_energy_tracking
inputs = backend.prepare_inputs(inputs)
File "/optimum-benchmark/optimum_benchmark/backends/pytorch/backend.py", line 338, in prepare_inputs
inputs[key] = value.to(self.config.device)
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.
|
Emanuel/twitter-emotion-deberta-v3-base
|
FAILED
| 2024-10-08T12:56:06 |
Text Classification
| 7 | 0 |
v0
|
Downloading readme: 0%| | 0.00/271 [00:00<?, ?B/s]
Downloading readme: 100%|██████████| 271/271 [00:00<00:00, 3.49MB/s]
Downloading data: 0%| | 0.00/453k [00:00<?, ?B/s][A[A
Downloading data: 100%|██████████| 453k/453k [00:00<00:00, 2.37MB/s][A[A
Downloading data: 100%|██████████| 453k/453k [00:00<00:00, 2.37MB/s]
Generating train split: 0%| | 0/1000 [00:00<?, ? examples/s]
Generating train split: 100%|██████████| 1000/1000 [00:00<00:00, 210599.72 examples/s]
[codecarbon INFO @ 12:58:38] [setup] RAM Tracking...
[codecarbon INFO @ 12:58:38] [setup] GPU Tracking...
[codecarbon INFO @ 12:58:38] Tracking Nvidia GPU via pynvml
[codecarbon DEBUG @ 12:58:38] GPU available. Starting setup
[codecarbon INFO @ 12:58:38] [setup] CPU Tracking...
[codecarbon DEBUG @ 12:58:38] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
[codecarbon DEBUG @ 12:58:38] 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 @ 12:58:38] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
[codecarbon WARNING @ 12:58:38] No CPU tracking mode found. Falling back on CPU constant mode.
[codecarbon WARNING @ 12:58:39] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
[codecarbon INFO @ 12:58:39] CPU Model on constant consumption mode: AMD EPYC 7R32
[codecarbon INFO @ 12:58:39] >>> Tracker's metadata:
[codecarbon INFO @ 12:58:39] Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
[codecarbon INFO @ 12:58:39] Python version: 3.9.20
[codecarbon INFO @ 12:58:39] CodeCarbon version: 2.5.1
[codecarbon INFO @ 12:58:39] Available RAM : 186.705 GB
[codecarbon INFO @ 12:58:39] CPU count: 48
[codecarbon INFO @ 12:58:39] CPU model: AMD EPYC 7R32
[codecarbon INFO @ 12:58:39] GPU count: 1
[codecarbon INFO @ 12:58:39] GPU model: 1 x NVIDIA A10G
[codecarbon DEBUG @ 12:58:40] Not running on AWS
[codecarbon DEBUG @ 12:58:41] Not running on Azure
[codecarbon DEBUG @ 12:58:42] Not running on GCP
[codecarbon INFO @ 12:58:42] Saving emissions data to file /runs/text_classification/Emanuel/twitter-emotion-deberta-v3-base/2024-10-08-12-58-29/codecarbon.csv
[codecarbon DEBUG @ 12:58:42] EmissionsData(timestamp='2024-10-08T12:58:42', project_name='codecarbon', run_id='572ec4e9-8ce3-489c-9abe-fc829b7d0905', duration=0.002154106000034517, 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)
Filter: 0%| | 0/1000 [00:00<?, ? examples/s]
Filter: 100%|██████████| 1000/1000 [00:00<00:00, 164844.52 examples/s]
Error executing job with overrides: ['backend.model=Emanuel/twitter-emotion-deberta-v3-base', 'backend.processor=Emanuel/twitter-emotion-deberta-v3-base']
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 122, in run
self.dataset = preprocess(
File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/preprocessing_utils.py", line 28, in preprocess
return task_to_preprocessing[task](dataset, config, preprocessor, pretrained_config)
File "/optimum-benchmark/optimum_benchmark/benchmarks/energy_star/preprocessing_utils.py", line 112, in text_classification_preprocessing
tokenizer.pad_token = tokenizer.eos_token
AttributeError: 'NoneType' object has no attribute 'eos_token'
Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
|
distilbert/distilbert-base-uncased-finetuned-sst-2-english
|
COMPLETED
| 2024-10-08T13:01:26 |
Text Classification
| 586 | 0.067 |
v0
|
/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(
Downloading readme: 0%| | 0.00/271 [00:00<?, ?B/s]
Downloading readme: 100%|██████████| 271/271 [00:00<00:00, 2.45MB/s]
Downloading data: 0%| | 0.00/453k [00:00<?, ?B/s][A[A
Downloading data: 100%|██████████| 453k/453k [00:00<00:00, 2.77MB/s][A[A
Downloading data: 100%|██████████| 453k/453k [00:00<00:00, 2.76MB/s]
Generating train split: 0%| | 0/1000 [00:00<?, ? examples/s]
Generating train split: 100%|██████████| 1000/1000 [00:00<00:00, 211214.83 examples/s]
[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)
|
distilbert/distilbert-base-uncased-finetuned-sst-2-english
|
COMPLETED
| 2024-10-08T17:10:36 |
Text Classification
| 586 | 0.067 |
v0
| null |
openai/whisper-large-v3-turbo
|
FAILED
| 2024-10-08T19:03:00 |
automatic speech recognition
| 722 | 0.809 |
v0
| null |
CohereForAI/aya-23-8B
|
FAILED
| 2024-10-10T13:30:18 |
Text Generation
| 372 | 8.028 |
v0
| null |
hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4
|
FAILED
| 2024-10-23T13:33:06 |
Text Generation
| 17 | 1.987 |
v0
| null |
hugging-quants/Meta-Llama-3.1-8B-Instruct-BNB-NF4
|
FAILED
| 2024-10-23T13:33:53 |
Text Generation
| 7 | 4.65 |
v0
| null |
HuggingFaceTB/SmolLM-135M
|
COMPLETED
| 2024-10-23T15:41:33 |
Text Generation
| 163 | 0.135 |
v0
| null |
meta-llama/Llama-3.1-8B-Instruct
|
FAILED
| 2024-10-23T20:24:26 |
Text Generation
| 2,863 | 8.03 |
v0
| null |
HuggingFaceTB/SmolLM-360M
|
COMPLETED
| 2024-10-24T14:17:53 |
Text Generation
| 56 | 0.362 |
v0
| null |
HuggingFaceTB/SmolLM-1.7B
|
COMPLETED
| 2024-10-24T15:13:29 |
Text Generation
| 153 | 1.711 |
v0
| null |
meta-llama/Llama-3.2-3B
|
FAILED
| 2024-10-24T16:22:21 |
Text Generation
| 235 | 3.213 |
v0
| null |
meta-llama/Llama-3.2-3B
|
FAILED
| 2024-10-24T16:25:18 |
Text Generation
| 235 | 3.213 |
v0
| null |
allenai/OLMo-1B-hf
|
COMPLETED
| 2024-10-24T18:23:18 |
Text Generation
| 15 | 1.177 |
v0
| null |
google/gemma-2-2b
|
FAILED
| 2024-10-24T19:03:16 |
Text Generation
| 381 | 2.614 |
v0
| null |
google/gemma-2-2b
|
FAILED
| 2024-10-24T19:04:59 |
Text Generation
| 381 | 2.614 |
v0
| null |
microsoft/phi-2
|
COMPLETED
| 2024-10-24T19:07:24 |
Text Generation
| 3,238 | 2.78 |
v0
| null |
microsoft/phi-2
|
COMPLETED
| 2024-10-24T22:39:53 |
Text Generation
| 3,238 | 2.78 |
v0
| null |
meta-llama/Llama-3.1-8B-Instruct
|
FAILED
| 2024-10-25T02:09:22 |
Text Generation
| 2,877 | 8.03 |
v0
| null |
EleutherAI/pythia-1.4b
|
COMPLETED
| 2024-10-25T12:57:33 |
Text Generation
| 23 | 1.515 |
v0
| null |
openai-community/gpt2-large
|
COMPLETED
| 2024-10-25T14:18:23 |
Text Generation
| 266 | 0.812 |
v0
| null |
meta-llama/Llama-3.1-405B-Instruct-FP8
|
FAILED
| 2024-10-25T19:02:42 |
Text Generation
| 173 | 405.869 |
v0
| null |
meta-llama/Llama-3.1-405B-Instruct-FP8
|
FAILED
| 2024-10-26T01:42:19 |
text-generation
| 173 | 405.869 |
v0
| null |
meta-llama/Llama-3.1-405B-Instruct-FP8
|
FAILED
| 2024-10-26T02:00:15 |
Text Generation
| 173 | 405.869 |
v0
| null |
meta-llama/Llama-3.1-405B-Instruct-FP8
|
FAILED
| 2024-10-26T02:10:33 |
text-generation
| 173 | 405.869 |
v0
| null |
meta-llama/Llama-3.1-405B-Instruct-FP8
|
FAILED
| 2024-10-26T02:50:27 |
text-generation
| 173 | 405.869 |
v0
| null |
meta-llama/Llama-3.1-405B-Instruct-FP8
|
FAILED
| 2024-10-26T03:04:14 |
text-generation
| 173 | 405.869 |
v0
| null |
allenai/OLMo-7B-0724-Instruct-hf
|
FAILED
| 2024-10-31T18:34:49 |
text-generation
| 4 | 6.888 |
v0
| null |
allenai/OLMo-7B-0724-Instruct-hf
|
FAILED
| 2024-10-31T18:36:50 |
text-generation
| 4 | 6.888 |
v0
| null |
Qwen/Qwen2.5-Coder-32B-Instruct
|
FAILED
| 2024-11-18T10:18:25 |
text-generation
| 704 | 32.764 |
v0
| null |
Qwen/Qwen2.5-Coder-32B-Instruct
|
FAILED
| 2024-11-18T10:23:17 |
text-generation
| 704 | 32.764 |
v0
| null |
hugging-quants/Meta-Llama-3.1-8B-Instruct-GPTQ-INT4
|
FAILED
| 2024-11-20T18:48:14 |
text-generation
| 20 | 1.987 |
v0
| null |
Qwen/QwQ-32B-Preview
|
FAILED
| 2024-11-28T12:44:10 |
text-generation
| 375 | 32.764 |
v0
| null |
Qwen/Qwen2.5-32B
|
FAILED
| 2024-11-28T13:07:59 |
text-generation
| 38 | 32.764 |
v0
| null |
sentence-transformers/all-mpnet-base-v2
|
COMPLETED
| 2024-12-03T17:22:31 |
sentence-similarity
| 911 | 0.109 |
v0
| null |
sentence-transformers/all-MiniLM-L6-v2
|
COMPLETED
| 2024-12-03T17:22:31 |
sentence-similarity
| 2,607 | 0.023 |
v0
| null |
Qwen/Qwen2.5-1.5B-Instruct
|
COMPLETED
| 2024-12-03T17:22:31 |
text-generation
| 207 | 1.544 |
v0
| null |
microsoft/resnet-50
|
COMPLETED
| 2024-12-03T17:22:31 |
image-classification
| 313 | 0.026 |
v0
| null |
jonatasgrosman/wav2vec2-large-xlsr-53-english
|
FAILED
| 2024-12-03T18:50:49 |
automatic-speech-recognition
| 447 | 0.315 |
v0
| null |
facebook/opt-1.3b
|
COMPLETED
| 2024-12-03T18:50:49 |
text-generation
| 160 | 0 |
v0
| null |
openai-community/gpt2
|
COMPLETED
| 2024-12-03T18:50:49 |
text-generation
| 2,391 | 0.137 |
v0
| null |
bigscience/bloomz-560m
|
COMPLETED
| 2024-12-03T18:50:49 |
text-generation
| 109 | 0.559 |
v0
| null |
timm/resnet50.a1_in1k
|
FAILED
| 2024-12-03T18:50:49 |
image-classification
| 35 | 0.026 |
v0
| null |
pyannote/speaker-diarization-3.1
|
FAILED
| 2024-12-03T18:50:49 |
automatic-speech-recognition
| 569 | 0 |
v0
| null |
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
|
COMPLETED
| 2024-12-03T18:50:49 |
sentence-similarity
| 707 | 0.118 |
v0
| null |
openai/whisper-small
|
COMPLETED
| 2024-12-03T18:50:49 |
automatic-speech-recognition
| 301 | 0.242 |
v0
| null |
bartowski/Meta-Llama-3.1-8B-Instruct-GGUF
|
FAILED
| 2024-12-03T18:50:49 |
text-generation
| 140 | 0 |
v0
| null |
sentence-transformers/all-MiniLM-L12-v2
|
COMPLETED
| 2024-12-03T18:50:49 |
sentence-similarity
| 209 | 0.033 |
v0
| null |
sentence-transformers/paraphrase-MiniLM-L6-v2
|
COMPLETED
| 2024-12-03T18:50:49 |
sentence-similarity
| 106 | 0.023 |
v0
| null |
facebook/opt-125m
|
COMPLETED
| 2024-12-03T18:50:49 |
text-generation
| 165 | 0 |
v0
| null |
meta-llama/Llama-3.1-8B-Instruct
|
FAILED
| 2024-12-03T18:50:49 |
text-generation
| 3,167 | 8.03 |
v0
| null |
pyannote/speaker-diarization
|
FAILED
| 2024-12-03T18:50:49 |
automatic-speech-recognition
| 871 | 0 |
v0
| null |
sentence-transformers/multi-qa-MiniLM-L6-cos-v1
|
COMPLETED
| 2024-12-03T18:50:49 |
sentence-similarity
| 117 | 0.023 |
v0
| null |
facebook/bart-large-cnn
|
COMPLETED
| 2024-12-03T18:50:49 |
summarization
| 1,208 | 0.406 |
v0
| null |
cardiffnlp/twitter-roberta-base-sentiment-latest
|
FAILED
| 2024-12-03T18:50:49 |
text-classification
| 582 | 0 |
v0
| null |
WinKawaks/vit-tiny-patch16-224
|
COMPLETED
| 2024-12-03T18:50:49 |
image-classification
| 17 | 0.006 |
v0
| null |
sentence-transformers/bert-base-nli-mean-tokens
|
COMPLETED
| 2024-12-03T18:50:49 |
sentence-similarity
| 34 | 0.109 |
v0
| null |
papluca/xlm-roberta-base-language-detection
|
FAILED
| 2024-12-03T18:50:49 |
text-classification
| 286 | 0.278 |
v0
| null |
distributed/optimized-gpt2-1b
|
FAILED
| 2024-12-03T18:50:49 |
text-generation
| 0 | 1.01 |
v0
| null |
facebook/fasttext-language-identification
|
FAILED
| 2024-12-03T18:50:49 |
text-classification
| 207 | 0 |
v0
| null |
jonatasgrosman/wav2vec2-large-xlsr-53-portuguese
|
FAILED
| 2024-12-03T18:50:49 |
automatic-speech-recognition
| 25 | 0 |
v0
| null |
Falconsai/nsfw_image_detection
|
COMPLETED
| 2024-12-03T18:50:49 |
image-classification
| 417 | 0.086 |
v0
| null |
google/vit-base-patch16-224
|
COMPLETED
| 2024-12-03T18:50:49 |
image-classification
| 690 | 0.087 |
v0
| null |
jonatasgrosman/wav2vec2-large-xlsr-53-russian
|
PENDING
| 2024-12-03T18:50:49 |
automatic-speech-recognition
| 48 | 0 |
v0
| null |
openai/whisper-large-v3
|
PENDING
| 2024-12-03T18:50:49 |
automatic-speech-recognition
| 3,758 | 1.543 |
v0
| null |
Minej/bert-base-personality
|
PENDING
| 2024-12-03T18:50:49 |
text-classification
| 37 | 0.109 |
v0
| null |
BAAI/bge-m3
|
PENDING
| 2024-12-03T18:50:49 |
sentence-similarity
| 1,496 | 0 |
v0
| null |
microsoft/table-transformer-detection
|
PENDING
| 2024-12-03T18:50:49 |
object-detection
| 311 | 0.029 |
v0
| null |
Alibaba-NLP/gte-large-en-v1.5
|
PENDING
| 2024-12-03T18:50:49 |
sentence-similarity
| 177 | 0.434 |
v0
| null |
pyannote/speaker-diarization-3.0
|
PENDING
| 2024-12-03T18:50:49 |
automatic-speech-recognition
| 173 | 0 |
v0
| null |
Moritz-Pfeifer/CentralBankRoBERTa-sentiment-classifier
|
PENDING
| 2024-12-03T18:50:49 |
text-classification
| 3 | 0 |
v0
| null |
meta-llama/Meta-Llama-3-8B-Instruct
|
PENDING
| 2024-12-03T18:50:49 |
text-generation
| 3,653 | 8.03 |
v0
| null |
jonatasgrosman/wav2vec2-large-xlsr-53-dutch
|
PENDING
| 2024-12-03T18:52:14 |
automatic-speech-recognition
| 10 | 0 |
v0
| null |
cross-encoder/ms-marco-MiniLM-L-6-v2
|
PENDING
| 2024-12-03T18:52:14 |
text-classification
| 61 | 0 |
v0
| null |
cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual
|
PENDING
| 2024-12-03T18:52:14 |
text-classification
| 20 | 0 |
v0
| null |
openai/whisper-large-v3-turbo
|
PENDING
| 2024-12-03T18:52:14 |
automatic-speech-recognition
| 1,442 | 0.809 |
v0
| null |
lxyuan/distilbert-base-multilingual-cased-sentiments-student
|
PENDING
| 2024-12-03T18:52:14 |
text-classification
| 259 | 0.135 |
v0
| null |
facebook/roberta-hate-speech-dynabench-r4-target
|
PENDING
| 2024-12-03T18:52:14 |
text-classification
| 65 | 0.125 |
v0
| null |
jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn
|
PENDING
| 2024-12-03T18:52:14 |
automatic-speech-recognition
| 89 | 0 |
v0
| null |
distilbert/distilgpt2
|
PENDING
| 2024-12-03T18:52:14 |
text-generation
| 447 | 0.088 |
v0
| null |
timm/resnet18.a1_in1k
|
PENDING
| 2024-12-03T18:52:14 |
image-classification
| 10 | 0.012 |
v0
| null |
WinKawaks/vit-small-patch16-224
|
PENDING
| 2024-12-03T18:52:14 |
image-classification
| 16 | 0.022 |
v0
| null |
google/gemma-2-2b
|
PENDING
| 2024-12-03T18:52:14 |
text-generation
| 443 | 2.614 |
v0
| null |
meta-llama/Llama-3.1-70B-Instruct
|
PENDING
| 2024-12-03T18:52:14 |
text-generation
| 716 | 70.554 |
v0
| null |
sentence-transformers/paraphrase-multilingual-mpnet-base-v2
|
PENDING
| 2024-12-03T18:52:14 |
sentence-similarity
| 328 | 0.278 |
v0
| null |
nlpconnect/vit-gpt2-image-captioning
|
PENDING
| 2024-12-03T18:52:14 |
image-to-text
| 843 | 0 |
v0
| null |
cardiffnlp/twitter-roberta-base-sentiment
|
PENDING
| 2024-12-03T18:52:14 |
text-classification
| 277 | 0 |
v0
| null |
TinyLlama/TinyLlama-1.1B-Chat-v1.0
|
PENDING
| 2024-12-03T18:52:14 |
text-generation
| 1,095 | 1.1 |
v0
| null |
microsoft/git-base
|
PENDING
| 2024-12-03T18:52:14 |
image-to-text
| 82 | 0.177 |
v0
| null |
Salesforce/blip-image-captioning-large
|
PENDING
| 2024-12-03T18:52:14 |
image-to-text
| 1,189 | 0.47 |
v0
| null |
sentence-transformers/all-distilroberta-v1
|
PENDING
| 2024-12-03T18:52:14 |
sentence-similarity
| 35 | 0.082 |
v0
| null |
microsoft/beit-base-patch16-224-pt22k-ft22k
|
PENDING
| 2024-12-03T18:52:14 |
image-classification
| 73 | 0 |
v0
| null |
thenlper/gte-large
|
PENDING
| 2024-12-03T18:52:14 |
sentence-similarity
| 257 | 0.335 |
v0
| null |
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