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runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-58-38/.hydra/config.yaml

@@ -0,0 +1,94 @@
+backend:
+  name: pytorch
+  version: 2.4.0
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: text-classification
+  model: distilbert/distilbert-base-uncased-finetuned-sst-2-english
+  processor: distilbert/distilbert-base-uncased-finetuned-sst-2-english
+  library: null
+  device: cuda
+  device_ids: '0'
+  seed: 42
+  inter_op_num_threads: null
+  intra_op_num_threads: null
+  hub_kwargs: {}
+  no_weights: true
+  device_map: null
+  torch_dtype: null
+  amp_autocast: false
+  amp_dtype: null
+  eval_mode: true
+  to_bettertransformer: false
+  low_cpu_mem_usage: null
+  attn_implementation: null
+  cache_implementation: null
+  torch_compile: false
+  torch_compile_config: {}
+  quantization_scheme: null
+  quantization_config: {}
+  deepspeed_inference: false
+  deepspeed_inference_config: {}
+  peft_type: null
+  peft_config: {}
+launcher:
+  name: process
+  _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
+  device_isolation: true
+  device_isolation_action: warn
+  start_method: spawn
+benchmark:
+  name: energy_star
+  _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
+  dataset_name: EnergyStarAI/text_classification
+  dataset_config: ''
+  dataset_split: train
+  num_samples: 1000
+  input_shapes:
+    batch_size: 1
+  text_column_name: text
+  truncation: true
+  max_length: -1
+  dataset_prefix1: ''
+  dataset_prefix2: ''
+  t5_task: ''
+  image_column_name: image
+  resize: false
+  question_column_name: question
+  context_column_name: context
+  sentence1_column_name: sentence1
+  sentence2_column_name: sentence2
+  audio_column_name: audio
+  iterations: 10
+  warmup_runs: 10
+  energy: true
+  forward_kwargs: {}
+  generate_kwargs: {}
+  call_kwargs: {}
+experiment_name: text_classification
+environment:
+  cpu: ' AMD EPYC 7R32'
+  cpu_count: 48
+  cpu_ram_mb: 200472.73984
+  system: Linux
+  machine: x86_64
+  platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
+  processor: x86_64
+  python_version: 3.9.20
+  gpu:
+  - NVIDIA A10G
+  gpu_count: 1
+  gpu_vram_mb: 24146608128
+  optimum_benchmark_version: 0.2.0
+  optimum_benchmark_commit: null
+  transformers_version: 4.44.0
+  transformers_commit: null
+  accelerate_version: 0.33.0
+  accelerate_commit: null
+  diffusers_version: 0.30.0
+  diffusers_commit: null
+  optimum_version: null
+  optimum_commit: null
+  timm_version: null
+  timm_commit: null
+  peft_version: null
+  peft_commit: null

runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-58-38/.hydra/hydra.yaml

@@ -0,0 +1,175 @@
+hydra:
+  run:
+    dir: ./runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-58-38
+  sweep:
+    dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
+    subdir: ${hydra.job.num}
+  launcher:
+    _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
+  sweeper:
+    _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
+    max_batch_size: null
+    params: null
+  help:
+    app_name: ${hydra.job.name}
+    header: '${hydra.help.app_name} is powered by Hydra.
+
+      '
+    footer: 'Powered by Hydra (https://hydra.cc)
+
+      Use --hydra-help to view Hydra specific help
+
+      '
+    template: '${hydra.help.header}
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (group=option)
+
+
+      $APP_CONFIG_GROUPS
+
+
+      == Config ==
+
+      Override anything in the config (foo.bar=value)
+
+
+      $CONFIG
+
+
+      ${hydra.help.footer}
+
+      '
+  hydra_help:
+    template: 'Hydra (${hydra.runtime.version})
+
+      See https://hydra.cc for more info.
+
+
+      == Flags ==
+
+      $FLAGS_HELP
+
+
+      == Configuration groups ==
+
+      Compose your configuration from those groups (For example, append hydra/job_logging=disabled
+      to command line)
+
+
+      $HYDRA_CONFIG_GROUPS
+
+
+      Use ''--cfg hydra'' to Show the Hydra config.
+
+      '
+    hydra_help: ???
+  hydra_logging:
+    version: 1
+    formatters:
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+    root:
+      level: INFO
+      handlers:
+      - console
+    disable_existing_loggers: false
+  job_logging:
+    version: 1
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
+      colorlog:
+        (): colorlog.ColoredFormatter
+        format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
+          - %(message)s'
+        log_colors:
+          DEBUG: purple
+          INFO: green
+          WARNING: yellow
+          ERROR: red
+          CRITICAL: red
+    handlers:
+      console:
+        class: logging.StreamHandler
+        formatter: colorlog
+        stream: ext://sys.stdout
+      file:
+        class: logging.FileHandler
+        formatter: simple
+        filename: ${hydra.job.name}.log
+    root:
+      level: INFO
+      handlers:
+      - console
+      - file
+    disable_existing_loggers: false
+  env: {}
+  mode: RUN
+  searchpath: []
+  callbacks: {}
+  output_subdir: .hydra
+  overrides:
+    hydra:
+    - hydra.run.dir=./runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-58-38
+    - hydra.mode=RUN
+    task:
+    - backend.model=distilbert/distilbert-base-uncased-finetuned-sst-2-english
+    - backend.processor=distilbert/distilbert-base-uncased-finetuned-sst-2-english
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.model=distilbert/distilbert-base-uncased-finetuned-sst-2-english,backend.processor=distilbert/distilbert-base-uncased-finetuned-sst-2-english
+    id: ???
+    num: ???
+    config_name: text_classification
+    env_set:
+      OVERRIDE_BENCHMARKS: '1'
+    env_copy: []
+    config:
+      override_dirname:
+        kv_sep: '='
+        item_sep: ','
+        exclude_keys: []
+  runtime:
+    version: 1.3.2
+    version_base: '1.3'
+    cwd: /
+    config_sources:
+    - path: hydra.conf
+      schema: pkg
+      provider: hydra
+    - path: optimum_benchmark
+      schema: pkg
+      provider: main
+    - path: hydra_plugins.hydra_colorlog.conf
+      schema: pkg
+      provider: hydra-colorlog
+    - path: /optimum-benchmark/examples/energy_star
+      schema: file
+      provider: command-line
+    - path: ''
+      schema: structured
+      provider: schema
+    output_dir: /runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-58-38
+    choices:
+      benchmark: energy_star
+      launcher: process
+      backend: pytorch
+      hydra/env: default
+      hydra/callbacks: null
+      hydra/job_logging: colorlog
+      hydra/hydra_logging: colorlog
+      hydra/hydra_help: default
+      hydra/help: default
+      hydra/sweeper: basic
+      hydra/launcher: basic
+      hydra/output: default
+  verbose: false

runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-58-38/.hydra/overrides.yaml

@@ -0,0 +1,2 @@
+- backend.model=distilbert/distilbert-base-uncased-finetuned-sst-2-english
+- backend.processor=distilbert/distilbert-base-uncased-finetuned-sst-2-english

runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-58-38/benchmark_report.json

@@ -0,0 +1,107 @@
+{
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+}

runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-58-38/cli.log

@@ -0,0 +1,113 @@
+[2024-10-08 17:58:41,047][launcher][INFO] - ََAllocating process launcher
+[2024-10-08 17:58:41,047][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-08 17:58:41,059][device-isolation][INFO] - 	+ Launched device(s) isolation process 180
+[2024-10-08 17:58:41,060][device-isolation][INFO] - 	+ Isolating device(s) [0]
+[2024-10-08 17:58:41,066][process][INFO] - 	+ Launched benchmark in isolated process 181.
+[PROC-0][2024-10-08 17:58:43,712][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-08 17:58:44,652][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-08 17:58:44,652][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-08 17:58:45,130][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
+[PROC-0][2024-10-08 17:58:45,131][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-08 17:58:45,131][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-08 17:58:45,131][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-08 17:58:45,131][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-08 17:58:45,131][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-08 17:58:45,133][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-08 17:58:45,133][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-08 17:58:45,134][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-08 17:58:45,134][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-08 17:58:45,291][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-08 17:58:45,297][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-08 17:58:45,297][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-08 17:58:45,895][energy_star][INFO] - 	+ Initializing Inference report
+[PROC-0][2024-10-08 17:58:45,895][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-08 17:58:50,071][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-08 17:58:50,499][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-08 17:58:50,500][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-08 17:58:50,500][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-08 17:58:50,500][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-08 17:58:50,990][energy_star][INFO] - 	+ Running Inference energy tracking for 10 iterations
+[PROC-0][2024-10-08 17:58:50,990][energy_star][INFO] - 	+ Iteration 1/10
+[PROC-0][2024-10-08 17:58:55,027][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-08 17:58:55,027][energy_star][INFO] - 	+ Iteration 2/10
+[PROC-0][2024-10-08 17:58:59,120][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-08 17:58:59,120][energy_star][INFO] - 	+ Iteration 3/10
+[PROC-0][2024-10-08 17:59:03,140][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-08 17:59:03,141][energy_star][INFO] - 	+ Iteration 4/10
+[PROC-0][2024-10-08 17:59:07,128][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-08 17:59:07,129][energy_star][INFO] - 	+ Iteration 5/10
+[PROC-0][2024-10-08 17:59:11,194][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-08 17:59:11,194][energy_star][INFO] - 	+ Iteration 6/10
+[PROC-0][2024-10-08 17:59:15,225][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-08 17:59:15,226][energy_star][INFO] - 	+ Iteration 7/10
+[PROC-0][2024-10-08 17:59:19,190][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-08 17:59:19,191][energy_star][INFO] - 	+ Iteration 8/10
+[PROC-0][2024-10-08 17:59:23,272][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-08 17:59:23,273][energy_star][INFO] - 	+ Iteration 9/10
+[PROC-0][2024-10-08 17:59:27,362][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-08 17:59:27,362][energy_star][INFO] - 	+ Iteration 10/10
+[PROC-0][2024-10-08 17:59:31,460][energy][INFO] - 	+ Saving codecarbon emission data to forward_codecarbon.json
+[PROC-0][2024-10-08 17:59:31,461][energy][INFO] - 		+ forward energy consumption:
+[PROC-0][2024-10-08 17:59:31,461][energy][INFO] - 			+ CPU: 0.000043 (kWh)
+[PROC-0][2024-10-08 17:59:31,461][energy][INFO] - 			+ GPU: 0.000170 (kWh)
+[PROC-0][2024-10-08 17:59:31,461][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-08 17:59:31,461][energy][INFO] - 			+ total: 0.000214 (kWh)
+[PROC-0][2024-10-08 17:59:31,461][energy][INFO] - 		+ forward_iteration_1 energy consumption:
+[PROC-0][2024-10-08 17:59:31,461][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-08 17:59:31,462][energy][INFO] - 			+ GPU: 0.000186 (kWh)
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+[PROC-0][2024-10-08 17:59:31,462][energy][INFO] - 			+ total: 0.000234 (kWh)
+[PROC-0][2024-10-08 17:59:31,462][energy][INFO] - 		+ forward_iteration_2 energy consumption:
+[PROC-0][2024-10-08 17:59:31,462][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-08 17:59:31,462][energy][INFO] - 			+ GPU: 0.000182 (kWh)
+[PROC-0][2024-10-08 17:59:31,462][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-08 17:59:31,462][energy][INFO] - 			+ total: 0.000231 (kWh)
+[PROC-0][2024-10-08 17:59:31,462][energy][INFO] - 		+ forward_iteration_3 energy consumption:
+[PROC-0][2024-10-08 17:59:31,462][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-08 17:59:31,462][energy][INFO] - 			+ GPU: 0.000186 (kWh)
+[PROC-0][2024-10-08 17:59:31,462][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-08 17:59:31,462][energy][INFO] - 			+ total: 0.000234 (kWh)
+[PROC-0][2024-10-08 17:59:31,463][energy][INFO] - 		+ forward_iteration_4 energy consumption:
+[PROC-0][2024-10-08 17:59:31,463][energy][INFO] - 			+ CPU: 0.000047 (kWh)
+[PROC-0][2024-10-08 17:59:31,463][energy][INFO] - 			+ GPU: 0.000187 (kWh)
+[PROC-0][2024-10-08 17:59:31,463][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-08 17:59:31,463][energy][INFO] - 			+ total: 0.000235 (kWh)
+[PROC-0][2024-10-08 17:59:31,463][energy][INFO] - 		+ forward_iteration_5 energy consumption:
+[PROC-0][2024-10-08 17:59:31,463][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-08 17:59:31,463][energy][INFO] - 			+ GPU: 0.000186 (kWh)
+[PROC-0][2024-10-08 17:59:31,463][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-08 17:59:31,463][energy][INFO] - 			+ total: 0.000234 (kWh)
+[PROC-0][2024-10-08 17:59:31,463][energy][INFO] - 		+ forward_iteration_6 energy consumption:
+[PROC-0][2024-10-08 17:59:31,463][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-08 17:59:31,464][energy][INFO] - 			+ GPU: 0.000192 (kWh)
+[PROC-0][2024-10-08 17:59:31,464][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-08 17:59:31,464][energy][INFO] - 			+ total: 0.000240 (kWh)
+[PROC-0][2024-10-08 17:59:31,464][energy][INFO] - 		+ forward_iteration_7 energy consumption:
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+[PROC-0][2024-10-08 17:59:31,464][energy][INFO] - 			+ GPU: 0.000000 (kWh)
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+[PROC-0][2024-10-08 17:59:31,464][energy][INFO] - 			+ total: 0.000000 (kWh)
+[PROC-0][2024-10-08 17:59:31,464][energy][INFO] - 		+ forward_iteration_8 energy consumption:
+[PROC-0][2024-10-08 17:59:31,464][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-08 17:59:31,464][energy][INFO] - 			+ GPU: 0.000195 (kWh)
+[PROC-0][2024-10-08 17:59:31,465][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-08 17:59:31,465][energy][INFO] - 			+ total: 0.000243 (kWh)
+[PROC-0][2024-10-08 17:59:31,465][energy][INFO] - 		+ forward_iteration_9 energy consumption:
+[PROC-0][2024-10-08 17:59:31,465][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-08 17:59:31,465][energy][INFO] - 			+ GPU: 0.000194 (kWh)
+[PROC-0][2024-10-08 17:59:31,465][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-08 17:59:31,465][energy][INFO] - 			+ total: 0.000243 (kWh)
+[PROC-0][2024-10-08 17:59:31,465][energy][INFO] - 		+ forward_iteration_10 energy consumption:
+[PROC-0][2024-10-08 17:59:31,465][energy][INFO] - 			+ CPU: 0.000048 (kWh)
+[PROC-0][2024-10-08 17:59:31,465][energy][INFO] - 			+ GPU: 0.000194 (kWh)
+[PROC-0][2024-10-08 17:59:31,465][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-08 17:59:31,465][energy][INFO] - 			+ total: 0.000243 (kWh)
+[PROC-0][2024-10-08 17:59:31,466][energy][INFO] - 		+ preprocess energy consumption:
+[PROC-0][2024-10-08 17:59:31,466][energy][INFO] - 			+ CPU: 0.000005 (kWh)
+[PROC-0][2024-10-08 17:59:31,466][energy][INFO] - 			+ GPU: 0.000008 (kWh)
+[PROC-0][2024-10-08 17:59:31,466][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-08 17:59:31,466][energy][INFO] - 			+ total: 0.000013 (kWh)
+[PROC-0][2024-10-08 17:59:31,466][energy][INFO] - 		+ forward energy efficiency: 4680695.964939 (samples/kWh)
+[PROC-0][2024-10-08 17:59:31,466][energy][INFO] - 		+ preprocess energy efficiency: 78234816.797700 (samples/kWh)
+[2024-10-08 17:59:32,083][device-isolation][INFO] - 	+ Closing device(s) isolation process...
+[2024-10-08 17:59:32,131][datasets][INFO] - PyTorch version 2.4.0 available.

runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-58-38/error.log

@@ -0,0 +1,178 @@
+/opt/conda/lib/python3.9/site-packages/transformers/tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884
+  warnings.warn(
+
+
+
+
+
+
+
+[codecarbon INFO @ 17:58:45] [setup] RAM Tracking...
+[codecarbon INFO @ 17:58:45] [setup] GPU Tracking...
+[codecarbon INFO @ 17:58:45] Tracking Nvidia GPU via pynvml
+[codecarbon DEBUG @ 17:58:45] GPU available. Starting setup
+[codecarbon INFO @ 17:58:45] [setup] CPU Tracking...
+[codecarbon DEBUG @ 17:58:45] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
+[codecarbon DEBUG @ 17:58:45] 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 @ 17:58:45] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
+[codecarbon WARNING @ 17:58:45] No CPU tracking mode found. Falling back on CPU constant mode.
+[codecarbon WARNING @ 17:58:47] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
+[codecarbon INFO @ 17:58:47] CPU Model on constant consumption mode: AMD EPYC 7R32
+[codecarbon INFO @ 17:58:47] >>> Tracker's metadata:
+[codecarbon INFO @ 17:58:47]   Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
+[codecarbon INFO @ 17:58:47]   Python version: 3.9.20
+[codecarbon INFO @ 17:58:47]   CodeCarbon version: 2.5.1
+[codecarbon INFO @ 17:58:47]   Available RAM : 186.705 GB
+[codecarbon INFO @ 17:58:47]   CPU count: 48
+[codecarbon INFO @ 17:58:47]   CPU model: AMD EPYC 7R32
+[codecarbon INFO @ 17:58:47]   GPU count: 1
+[codecarbon INFO @ 17:58:47]   GPU model: 1 x NVIDIA A10G
+[codecarbon DEBUG @ 17:58:48] Not running on AWS
+[codecarbon DEBUG @ 17:58:49] Not running on Azure
+[codecarbon DEBUG @ 17:58:50] Not running on GCP
+[codecarbon INFO @ 17:58:50] Saving emissions data to file /runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-58-38/codecarbon.csv
+[codecarbon DEBUG @ 17:58:50] EmissionsData(timestamp='2024-10-08T17:58:50', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=0.002169088984373957, emissions=0.0, emissions_rate=0.0, cpu_power=0.0, gpu_power=0.0, ram_power=0.0, cpu_energy=0, gpu_energy=0, ram_energy=0, energy_consumed=0, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
+
+
+[codecarbon INFO @ 17:58:50] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.272127628326416 W
+[codecarbon DEBUG @ 17:58:50] RAM : 0.27 W during 0.42 s [measurement time: 0.0006]
+[codecarbon INFO @ 17:58:50] Energy consumed for all GPUs : 0.000008 kWh. Total GPU Power : 65.29715667853465 W
+[codecarbon DEBUG @ 17:58:50] GPU : 65.30 W during 0.42 s [measurement time: 0.0022]
+[codecarbon INFO @ 17:58:50] Energy consumed for all CPUs : 0.000005 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 17:58:50] CPU : 42.50 W during 0.43 s [measurement time: 0.0000]
+[codecarbon INFO @ 17:58:50] 0.000013 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 17:58:50] last_duration=0.42401501996209845
+------------------------
+[codecarbon DEBUG @ 17:58:50] EmissionsData(timestamp='2024-10-08T17:58:50', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=0.42724016797728837, emissions=4.718287752181354e-06, emissions_rate=1.104364267648208e-05, cpu_power=42.5, gpu_power=65.29715667853465, ram_power=0.272127628326416, cpu_energy=5.042474785700001e-06, gpu_energy=7.707506165743894e-06, ram_energy=3.2051920005208315e-08, energy_consumed=1.2782032871449104e-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 @ 17:58:50] EmissionsData(timestamp='2024-10-08T17:58:50', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=0.0023658329737372696, emissions=4.718287752181354e-06, emissions_rate=0.0019943452494568742, cpu_power=42.5, gpu_power=65.29715667853465, ram_power=0.272127628326416, cpu_energy=5.042474785700001e-06, gpu_energy=7.707506165743894e-06, ram_energy=3.2051920005208315e-08, energy_consumed=1.2782032871449104e-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 @ 17:58:55] Background scheduler didn't run for a long period (4s), results might be inaccurate
+[codecarbon INFO @ 17:58:55] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.34240293502807617 W
+[codecarbon DEBUG @ 17:58:55] RAM : 0.34 W during 4.03 s [measurement time: 0.0004]
+[codecarbon INFO @ 17:58:55] Energy consumed for all GPUs : 0.000193 kWh. Total GPU Power : 165.7590330845709 W
+[codecarbon DEBUG @ 17:58:55] GPU : 165.76 W during 4.03 s [measurement time: 0.0023]
+[codecarbon INFO @ 17:58:55] Energy consumed for all CPUs : 0.000053 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 17:58:55] CPU : 42.50 W during 4.04 s [measurement time: 0.0000]
+[codecarbon INFO @ 17:58:55] 0.000247 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 17:58:55] last_duration=4.032387532002758
+------------------------
+[codecarbon DEBUG @ 17:58:55] EmissionsData(timestamp='2024-10-08T17:58:55', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=4.035693251993507, emissions=9.099821578505355e-05, emissions_rate=2.25483479796447e-05, cpu_power=42.5, gpu_power=165.7590330845709, ram_power=0.34240293502807617, cpu_energy=5.268488163932894e-05, gpu_energy=0.0001934173769555514, ram_energy=4.155984116217569e-07, energy_consumed=0.0002465178570065021, 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 @ 17:58:55] EmissionsData(timestamp='2024-10-08T17:58:55', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=0.005220913968514651, emissions=9.099821578505355e-05, emissions_rate=0.017429556651159014, cpu_power=42.5, gpu_power=165.7590330845709, ram_power=0.34240293502807617, cpu_energy=5.268488163932894e-05, gpu_energy=0.0001934173769555514, ram_energy=4.155984116217569e-07, energy_consumed=0.0002465178570065021, 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 @ 17:58:59] Background scheduler didn't run for a long period (4s), results might be inaccurate
+[codecarbon INFO @ 17:58:59] Energy consumed for RAM : 0.000001 kWh. RAM Power : 0.34244871139526367 W
+[codecarbon DEBUG @ 17:58:59] RAM : 0.34 W during 4.09 s [measurement time: 0.0004]
+[codecarbon INFO @ 17:58:59] Energy consumed for all GPUs : 0.000375 kWh. Total GPU Power : 160.0671488692886 W
+[codecarbon DEBUG @ 17:58:59] GPU : 160.07 W during 4.09 s [measurement time: 0.0023]
+[codecarbon INFO @ 17:58:59] Energy consumed for all CPUs : 0.000101 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 17:58:59] CPU : 42.50 W during 4.09 s [measurement time: 0.0000]
+[codecarbon INFO @ 17:58:59] 0.000477 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 17:58:59] last_duration=4.0889792739762925
+------------------------
+[codecarbon DEBUG @ 17:58:59] EmissionsData(timestamp='2024-10-08T17:58:59', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=4.092179451952688, emissions=0.00017609876927372013, emissions_rate=4.303300266797686e-05, cpu_power=42.5, gpu_power=160.0671488692886, ram_power=0.34244871139526367, cpu_energy=0.00010099411620867615, gpu_energy=0.00037526002242982415, ram_energy=8.04569033109679e-07, energy_consumed=0.00047705870767160994, 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 @ 17:58:59] EmissionsData(timestamp='2024-10-08T17:58:59', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=0.0021006889874115586, emissions=0.00017609876927372013, emissions_rate=0.08382905338629243, cpu_power=42.5, gpu_power=160.0671488692886, ram_power=0.34244871139526367, cpu_energy=0.00010099411620867615, gpu_energy=0.00037526002242982415, ram_energy=8.04569033109679e-07, energy_consumed=0.00047705870767160994, 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 @ 17:59:03] Background scheduler didn't run for a long period (4s), results might be inaccurate
+[codecarbon INFO @ 17:59:03] Energy consumed for RAM : 0.000001 kWh. RAM Power : 0.3424544334411621 W
+[codecarbon DEBUG @ 17:59:03] RAM : 0.34 W during 4.02 s [measurement time: 0.0004]
+[codecarbon INFO @ 17:59:03] Energy consumed for all GPUs : 0.000562 kWh. Total GPU Power : 167.05200478675823 W
+[codecarbon DEBUG @ 17:59:03] GPU : 167.05 W during 4.02 s [measurement time: 0.0023]
+[codecarbon INFO @ 17:59:03] Energy consumed for all CPUs : 0.000148 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 17:59:03] CPU : 42.50 W during 4.02 s [measurement time: 0.0000]
+[codecarbon INFO @ 17:59:03] 0.000711 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 17:59:03] last_duration=4.0164706479990855
+------------------------
+[codecarbon DEBUG @ 17:59:03] EmissionsData(timestamp='2024-10-08T17:59:03', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=4.019632024981547, emissions=0.00026256754564246617, emissions_rate=6.532128911568007e-05, cpu_power=42.5, gpu_power=167.05200478675823, ram_power=0.3424544334411621, cpu_energy=0.0001484468093552601, gpu_energy=0.0005616726715600429, ram_energy=1.186648692011778e-06, energy_consumed=0.0007113061296073147, 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 @ 17:59:03] EmissionsData(timestamp='2024-10-08T17:59:03', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=0.0020059869857504964, emissions=0.00026256754564246617, emissions_rate=0.13089194870535625, cpu_power=42.5, gpu_power=167.05200478675823, ram_power=0.3424544334411621, cpu_energy=0.0001484468093552601, gpu_energy=0.0005616726715600429, ram_energy=1.186648692011778e-06, energy_consumed=0.0007113061296073147, 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 @ 17:59:07] Background scheduler didn't run for a long period (3s), results might be inaccurate
+[codecarbon INFO @ 17:59:07] Energy consumed for RAM : 0.000002 kWh. RAM Power : 0.3424544334411621 W
+[codecarbon DEBUG @ 17:59:07] RAM : 0.34 W during 3.98 s [measurement time: 0.0004]
+[codecarbon INFO @ 17:59:07] Energy consumed for all GPUs : 0.000749 kWh. Total GPU Power : 169.39102933190287 W
+[codecarbon DEBUG @ 17:59:07] GPU : 169.39 W during 3.98 s [measurement time: 0.0057]
+[codecarbon INFO @ 17:59:07] Energy consumed for all CPUs : 0.000196 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 17:59:07] CPU : 42.50 W during 3.99 s [measurement time: 0.0000]
+[codecarbon INFO @ 17:59:07] 0.000946 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 17:59:07] last_duration=3.980210050009191
+------------------------
+[codecarbon DEBUG @ 17:59:07] EmissionsData(timestamp='2024-10-08T17:59:07', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=3.9868572499835864, emissions=0.00034922621806963554, emissions_rate=8.759436221878104e-05, cpu_power=42.5, gpu_power=169.39102933190287, ram_power=0.3424544334411621, cpu_energy=0.00019551266497546752, gpu_energy=0.0007489900436361552, ram_energy=1.5652790549255295e-06, energy_consumed=0.0009460679876665481, 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 @ 17:59:07] EmissionsData(timestamp='2024-10-08T17:59:07', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=0.0020373269799165428, emissions=0.00034922621806963554, emissions_rate=0.17141392693083624, cpu_power=42.5, gpu_power=169.39102933190287, ram_power=0.3424544334411621, cpu_energy=0.00019551266497546752, gpu_energy=0.0007489900436361552, ram_energy=1.5652790549255295e-06, energy_consumed=0.0009460679876665481, 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 @ 17:59:11] Background scheduler didn't run for a long period (4s), results might be inaccurate
+[codecarbon INFO @ 17:59:11] Energy consumed for RAM : 0.000002 kWh. RAM Power : 0.3424544334411621 W
+[codecarbon DEBUG @ 17:59:11] RAM : 0.34 W during 4.06 s [measurement time: 0.0004]
+[codecarbon INFO @ 17:59:11] Energy consumed for all GPUs : 0.000935 kWh. Total GPU Power : 164.59957133524424 W
+[codecarbon DEBUG @ 17:59:11] GPU : 164.60 W during 4.06 s [measurement time: 0.0023]
+[codecarbon INFO @ 17:59:11] Energy consumed for all CPUs : 0.000244 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 17:59:11] CPU : 42.50 W during 4.06 s [measurement time: 0.0000]
+[codecarbon INFO @ 17:59:11] 0.001180 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 17:59:11] last_duration=4.061729397973977
+------------------------
+[codecarbon DEBUG @ 17:59:11] EmissionsData(timestamp='2024-10-08T17:59:11', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=4.06493887596298, emissions=0.0004356483717862366, emissions_rate=0.00010717218267717049, cpu_power=42.5, gpu_power=164.59957133524424, ram_power=0.3424544334411621, cpu_energy=0.00024350030575171538, gpu_energy=0.00093473713667791, ram_energy=1.951664517179002e-06, energy_consumed=0.0011801891069468042, 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 @ 17:59:11] EmissionsData(timestamp='2024-10-08T17:59:11', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=0.0020743869827128947, emissions=0.0004356483717862366, emissions_rate=0.21001306671163797, cpu_power=42.5, gpu_power=164.59957133524424, ram_power=0.3424544334411621, cpu_energy=0.00024350030575171538, gpu_energy=0.00093473713667791, ram_energy=1.951664517179002e-06, energy_consumed=0.0011801891069468042, 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 @ 17:59:15] Background scheduler didn't run for a long period (4s), results might be inaccurate
+[codecarbon INFO @ 17:59:15] Energy consumed for RAM : 0.000002 kWh. RAM Power : 0.3424544334411621 W
+[codecarbon DEBUG @ 17:59:15] RAM : 0.34 W during 4.03 s [measurement time: 0.0004]
+[codecarbon INFO @ 17:59:15] Energy consumed for all GPUs : 0.001127 kWh. Total GPU Power : 171.91285423838124 W
+[codecarbon DEBUG @ 17:59:15] GPU : 171.91 W during 4.03 s [measurement time: 0.0044]
+[codecarbon INFO @ 17:59:15] Energy consumed for all CPUs : 0.000291 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 17:59:15] CPU : 42.50 W during 4.03 s [measurement time: 0.0000]
+[codecarbon INFO @ 17:59:15] 0.001420 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 17:59:15] last_duration=4.0251915629487485
+------------------------
+[codecarbon DEBUG @ 17:59:15] EmissionsData(timestamp='2024-10-08T17:59:15', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=4.030488848977257, emissions=0.0005243212646320117, emissions_rate=0.0001300887520790584, cpu_power=42.5, gpu_power=171.91285423838124, ram_power=0.3424544334411621, cpu_energy=0.0002910812585144919, gpu_energy=0.0011269917349259195, ram_energy=2.3345763666077327e-06, energy_consumed=0.001420407569807019, 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 @ 17:59:15] EmissionsData(timestamp='2024-10-08T17:59:15', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=0.002033536962699145, emissions=0.0005243212646320117, emissions_rate=0.2578370957841219, cpu_power=42.5, gpu_power=171.91285423838124, ram_power=0.3424544334411621, cpu_energy=0.0002910812585144919, gpu_energy=0.0011269917349259195, ram_energy=2.3345763666077327e-06, energy_consumed=0.001420407569807019, 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 @ 17:59:19] Background scheduler didn't run for a long period (3s), results might be inaccurate
+[codecarbon INFO @ 17:59:19] Energy consumed for RAM : 0.000003 kWh. RAM Power : 0.3424544334411621 W
+[codecarbon DEBUG @ 17:59:19] RAM : 0.34 W during 3.96 s [measurement time: 0.0004]
+[codecarbon INFO @ 17:59:19] Energy consumed for all GPUs : 0.001313 kWh. Total GPU Power : 169.48671672729446 W
+[codecarbon DEBUG @ 17:59:19] GPU : 169.49 W during 3.96 s [measurement time: 0.0023]
+[codecarbon INFO @ 17:59:19] Energy consumed for all CPUs : 0.000338 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 17:59:19] CPU : 42.50 W during 3.96 s [measurement time: 0.0000]
+[codecarbon INFO @ 17:59:19] 0.001654 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 17:59:19] EmissionsData(timestamp='2024-10-08T17:59:19', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=3.9638759350054897, emissions=0.0006105790122141629, emissions_rate=0.00015403585334799772, cpu_power=42.5, gpu_power=169.48671672729446, ram_power=0.3424544334411621, cpu_energy=0.00033787590361902814, gpu_energy=0.0013134960507956706, ram_energy=2.7113517868390922e-06, energy_consumed=0.0016540833062015374, 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 @ 17:59:19] 0.021772 g.CO2eq/s mean an estimation of 686.6058905055264 kg.CO2eq/year
+[codecarbon DEBUG @ 17:59:19] last_duration=3.960711147985421
+------------------------
+[codecarbon DEBUG @ 17:59:19] EmissionsData(timestamp='2024-10-08T17:59:19', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=3.964210390986409, emissions=0.0006105790122141629, emissions_rate=0.00015402285751595375, cpu_power=42.5, gpu_power=169.48671672729446, ram_power=0.3424544334411621, cpu_energy=0.00033787590361902814, gpu_energy=0.0013134960507956706, ram_energy=2.7113517868390922e-06, energy_consumed=0.0016540833062015374, 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 @ 17:59:19] EmissionsData(timestamp='2024-10-08T17:59:19', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=0.0020128259784542024, emissions=0.0006105790122141629, emissions_rate=0.3033441632560166, cpu_power=42.5, gpu_power=169.48671672729446, ram_power=0.3424544334411621, cpu_energy=0.00033787590361902814, gpu_energy=0.0013134960507956706, ram_energy=2.7113517868390922e-06, energy_consumed=0.0016540833062015374, 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 @ 17:59:23] Background scheduler didn't run for a long period (4s), results might be inaccurate
+[codecarbon INFO @ 17:59:23] Energy consumed for RAM : 0.000003 kWh. RAM Power : 0.3424558639526367 W
+[codecarbon DEBUG @ 17:59:23] RAM : 0.34 W during 4.08 s [measurement time: 0.0004]
+[codecarbon INFO @ 17:59:23] Energy consumed for all GPUs : 0.001508 kWh. Total GPU Power : 171.7353126237883 W
+[codecarbon DEBUG @ 17:59:23] GPU : 171.74 W during 4.08 s [measurement time: 0.0023]
+[codecarbon INFO @ 17:59:23] Energy consumed for all CPUs : 0.000386 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 17:59:23] CPU : 42.50 W during 4.08 s [measurement time: 0.0000]
+[codecarbon INFO @ 17:59:23] 0.001897 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 17:59:23] last_duration=4.077959813992493
+------------------------
+[codecarbon DEBUG @ 17:59:23] EmissionsData(timestamp='2024-10-08T17:59:23', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=4.081150561978575, emissions=0.0007003302978168092, emissions_rate=0.00017160119117910793, cpu_power=42.5, gpu_power=171.7353126237883, ram_power=0.3424558639526367, cpu_energy=0.0003860549116953028, gpu_energy=0.0015080689842323913, ram_energy=3.099282846784404e-06, energy_consumed=0.0018972231787744783, 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 @ 17:59:23] EmissionsData(timestamp='2024-10-08T17:59:23', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=0.002016487007495016, emissions=0.0007003302978168092, emissions_rate=0.3473021622325232, cpu_power=42.5, gpu_power=171.7353126237883, ram_power=0.3424558639526367, cpu_energy=0.0003860549116953028, gpu_energy=0.0015080689842323913, ram_energy=3.099282846784404e-06, energy_consumed=0.0018972231787744783, 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 @ 17:59:27] Background scheduler didn't run for a long period (4s), results might be inaccurate
+[codecarbon INFO @ 17:59:27] Energy consumed for RAM : 0.000003 kWh. RAM Power : 0.3424558639526367 W
+[codecarbon DEBUG @ 17:59:27] RAM : 0.34 W during 4.08 s [measurement time: 0.0004]
+[codecarbon INFO @ 17:59:27] Energy consumed for all GPUs : 0.001702 kWh. Total GPU Power : 171.1882462780792 W
+[codecarbon DEBUG @ 17:59:27] GPU : 171.19 W during 4.08 s [measurement time: 0.0051]
+[codecarbon INFO @ 17:59:27] Energy consumed for all CPUs : 0.000434 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 17:59:27] CPU : 42.50 W during 4.09 s [measurement time: 0.0000]
+[codecarbon INFO @ 17:59:27] 0.002140 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 17:59:27] last_duration=4.082152049988508
+------------------------
+[codecarbon DEBUG @ 17:59:27] EmissionsData(timestamp='2024-10-08T17:59:27', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=4.0881955699878745, emissions=0.0007899577910613205, emissions_rate=0.00019322896312997656, cpu_power=42.5, gpu_power=171.1882462780792, ram_power=0.3424558639526367, cpu_energy=0.00043431705151916614, gpu_energy=0.0017022230284440276, ram_energy=3.4876128656220862e-06, energy_consumed=0.0021400276928288157, 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 @ 17:59:27] EmissionsData(timestamp='2024-10-08T17:59:27', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=0.002023297012783587, emissions=0.0007899577910613205, emissions_rate=0.3904309580206032, cpu_power=42.5, gpu_power=171.1882462780792, ram_power=0.3424558639526367, cpu_energy=0.00043431705151916614, gpu_energy=0.0017022230284440276, ram_energy=3.4876128656220862e-06, energy_consumed=0.0021400276928288157, 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 @ 17:59:31] Background scheduler didn't run for a long period (4s), results might be inaccurate
+[codecarbon INFO @ 17:59:31] Energy consumed for RAM : 0.000004 kWh. RAM Power : 0.3424558639526367 W
+[codecarbon DEBUG @ 17:59:31] RAM : 0.34 W during 4.09 s [measurement time: 0.0004]
+[codecarbon INFO @ 17:59:31] Energy consumed for all GPUs : 0.001896 kWh. Total GPU Power : 170.7079425795162 W
+[codecarbon DEBUG @ 17:59:31] GPU : 170.71 W during 4.09 s [measurement time: 0.0043]
+[codecarbon INFO @ 17:59:31] Energy consumed for all CPUs : 0.000483 kWh. Total CPU Power : 42.5 W
+[codecarbon DEBUG @ 17:59:31] CPU : 42.50 W during 4.10 s [measurement time: 0.0001]
+[codecarbon INFO @ 17:59:31] 0.002383 kWh of electricity used since the beginning.
+[codecarbon DEBUG @ 17:59:31] last_duration=4.092542611004319
+------------------------
+[codecarbon DEBUG @ 17:59:31] EmissionsData(timestamp='2024-10-08T17:59:31', project_name='codecarbon', run_id='42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1', duration=4.097723815008067, emissions=0.0008796074283061246, emissions_rate=0.0002146575679611519, cpu_power=42.5, gpu_power=170.7079425795162, ram_power=0.3424558639526367, cpu_energy=0.00048269152504043544, gpu_energy=0.0018963237392801702, ram_energy=3.87693155739391e-06, energy_consumed=0.0023828921958779993, 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)

runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-58-38/experiment_config.json

@@ -0,0 +1,107 @@
+{
+    "experiment_name": "text_classification",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-classification",
+        "model": "distilbert/distilbert-base-uncased-finetuned-sst-2-english",
+        "processor": "distilbert/distilbert-base-uncased-finetuned-sst-2-english",
+        "library": "transformers",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "hub_kwargs": {
+            "revision": "main",
+            "force_download": false,
+            "local_files_only": false,
+            "trust_remote_code": true
+        },
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": null,
+        "amp_autocast": false,
+        "amp_dtype": null,
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": null,
+        "torch_compile": false,
+        "torch_compile_config": {},
+        "quantization_scheme": null,
+        "quantization_config": {},
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": true,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "benchmark": {
+        "name": "energy_star",
+        "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
+        "dataset_name": "EnergyStarAI/text_classification",
+        "dataset_config": "",
+        "dataset_split": "train",
+        "num_samples": 1000,
+        "input_shapes": {
+            "batch_size": 1
+        },
+        "text_column_name": "text",
+        "truncation": true,
+        "max_length": -1,
+        "dataset_prefix1": "",
+        "dataset_prefix2": "",
+        "t5_task": "",
+        "image_column_name": "image",
+        "resize": false,
+        "question_column_name": "question",
+        "context_column_name": "context",
+        "sentence1_column_name": "sentence1",
+        "sentence2_column_name": "sentence2",
+        "audio_column_name": "audio",
+        "iterations": 10,
+        "warmup_runs": 10,
+        "energy": true,
+        "forward_kwargs": {},
+        "generate_kwargs": {},
+        "call_kwargs": {}
+    },
+    "environment": {
+        "cpu": " AMD EPYC 7R32",
+        "cpu_count": 48,
+        "cpu_ram_mb": 200472.73984,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
+        "processor": "x86_64",
+        "python_version": "3.9.20",
+        "gpu": [
+            "NVIDIA A10G"
+        ],
+        "gpu_count": 1,
+        "gpu_vram_mb": 24146608128,
+        "optimum_benchmark_version": "0.2.0",
+        "optimum_benchmark_commit": null,
+        "transformers_version": "4.44.0",
+        "transformers_commit": null,
+        "accelerate_version": "0.33.0",
+        "accelerate_commit": null,
+        "diffusers_version": "0.30.0",
+        "diffusers_commit": null,
+        "optimum_version": null,
+        "optimum_commit": null,
+        "timm_version": null,
+        "timm_commit": null,
+        "peft_version": null,
+        "peft_commit": null
+    }
+}

runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-58-38/forward_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-08T17:59:31",
+    "project_name": "codecarbon",
+    "run_id": "42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1",
+    "duration": -1728029664.1765363,
+    "emissions": 8.964963724480415e-05,
+    "emissions_rate": 2.1888718877493718e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 170.7079425795162,
+    "ram_power": 0.3424558639526367,
+    "cpu_energy": 4.8374473521269295e-05,
+    "gpu_energy": 0.00019410071083614255,
+    "ram_energy": 3.89318691771824e-07,
+    "energy_consumed": 0.00024286450304918366,
+    "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
+}

runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-58-38/preprocess_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-08T17:58:50",
+    "project_name": "codecarbon",
+    "run_id": "42e88f8b-7a9b-47e2-909c-0d4bfb5d29f1",
+    "duration": -1728029667.84727,
+    "emissions": 4.718287752181354e-06,
+    "emissions_rate": 1.1099997118975963e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 65.29715667853465,
+    "ram_power": 0.272127628326416,
+    "cpu_energy": 5.042474785700001e-06,
+    "gpu_energy": 7.707506165743894e-06,
+    "ram_energy": 3.2051920005208315e-08,
+    "energy_consumed": 1.2782032871449104e-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
+}