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[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)

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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.
