Upload folder using huggingface_hub

cli.log

@@ -1,31 +0,0 @@
-[2024-10-07 19:58:01,182][launcher][INFO] - ََAllocating process launcher
-[2024-10-07 19:58:01,182][process][INFO] - 	+ Setting multiprocessing start method to spawn.
-[2024-10-07 19:58:01,192][device-isolation][INFO] - 	+ Launched device(s) isolation process 179
-[2024-10-07 19:58:01,193][device-isolation][INFO] - 	+ Isolating device(s) [0]
-[2024-10-07 19:58:01,198][process][INFO] - 	+ Launched benchmark in isolated process 180.
-[PROC-0][2024-10-07 19:58:03,909][datasets][INFO] - PyTorch version 2.4.0 available.
-[PROC-0][2024-10-07 19:58:04,829][backend][INFO] - َAllocating pytorch backend
-[PROC-0][2024-10-07 19:58:04,829][backend][INFO] - 	+ Setting random seed to 42
-[PROC-0][2024-10-07 19:58:05,609][pytorch][INFO] - 	+ Using AutoModel class AutoModelForSequenceClassification
-[PROC-0][2024-10-07 19:58:05,609][pytorch][INFO] - 	+ Creating backend temporary directory
-[PROC-0][2024-10-07 19:58:05,609][pytorch][INFO] - 	+ Loading model with random weights
-[PROC-0][2024-10-07 19:58:05,609][pytorch][INFO] - 	+ Creating no weights model
-[PROC-0][2024-10-07 19:58:05,610][pytorch][INFO] - 	+ Creating no weights model directory
-[PROC-0][2024-10-07 19:58:05,610][pytorch][INFO] - 	+ Creating no weights model state dict
-[PROC-0][2024-10-07 19:58:05,612][pytorch][INFO] - 	+ Saving no weights model safetensors
-[PROC-0][2024-10-07 19:58:05,612][pytorch][INFO] - 	+ Saving no weights model pretrained config
-[PROC-0][2024-10-07 19:58:05,613][pytorch][INFO] - 	+ Loading no weights AutoModel
-[PROC-0][2024-10-07 19:58:05,613][pytorch][INFO] - 	+ Loading model directly on device: cuda
-[PROC-0][2024-10-07 19:58:05,781][pytorch][INFO] - 	+ Turning on model's eval mode
-[PROC-0][2024-10-07 19:58:05,787][benchmark][INFO] - Allocating energy_star benchmark
-[PROC-0][2024-10-07 19:58:05,787][energy_star][INFO] - 	+ Loading raw dataset
-[PROC-0][2024-10-07 19:58:06,658][energy_star][INFO] - 	+ Initializing Inference report
-[PROC-0][2024-10-07 19:58:06,658][energy][INFO] - 	+ Tracking GPU energy on devices [0]
-[PROC-0][2024-10-07 19:58:10,834][energy_star][INFO] - 	+ Preprocessing dataset
-[PROC-0][2024-10-07 19:58:11,242][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
-[PROC-0][2024-10-07 19:58:11,243][energy_star][INFO] - 	+ Preparing backend for Inference
-[PROC-0][2024-10-07 19:58:11,243][energy_star][INFO] - 	+ Initialising dataloader
-[PROC-0][2024-10-07 19:58:11,243][energy_star][INFO] - 	+ Warming up backend for Inference
-[PROC-0][2024-10-07 19:58:11,751][energy_star][INFO] - 	+ Running Inference energy tracking for 10 iterations
-[PROC-0][2024-10-07 19:58:11,751][energy_star][INFO] - 	+ Iteration 1/10
-[2024-10-07 19:58:12,540][experiment][ERROR] - Error during experiment

text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/.hydra/config.yaml

@@ -0,0 +1,96 @@
+backend:
+  name: pytorch
+  version: 2.4.0
+  _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
+  task: text-generation
+  model: HuggingFaceTB/SmolLM-135M
+  processor: HuggingFaceTB/SmolLM-135M
+  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: false
+  device_isolation_action: warn
+  start_method: spawn
+benchmark:
+  name: energy_star
+  _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
+  dataset_name: EnergyStarAI/text_generation
+  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:
+    max_new_tokens: 10
+    min_new_tokens: 10
+  call_kwargs: {}
+experiment_name: text_generation
+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

text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/.hydra/hydra.yaml

@@ -0,0 +1,175 @@
+hydra:
+  run:
+    dir: ./runs/text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15
+  sweep:
+    dir: sweeps/${experiment_name}/${backend.model}/${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_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15
+    - hydra.mode=RUN
+    task:
+    - backend.model=HuggingFaceTB/SmolLM-135M
+    - backend.processor=HuggingFaceTB/SmolLM-135M
+  job:
+    name: cli
+    chdir: true
+    override_dirname: backend.model=HuggingFaceTB/SmolLM-135M,backend.processor=HuggingFaceTB/SmolLM-135M
+    id: ???
+    num: ???
+    config_name: text_generation
+    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_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15
+    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

text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/.hydra/overrides.yaml

@@ -0,0 +1,2 @@
+- backend.model=HuggingFaceTB/SmolLM-135M
+- backend.processor=HuggingFaceTB/SmolLM-135M

text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/benchmark_report.json

@@ -0,0 +1,203 @@
+{
+    "prefill": {
+        "memory": null,
+        "latency": null,
+        "throughput": null,
+        "energy": {
+            "unit": "kWh",
+            "cpu": 0.00028216661832921095,
+            "ram": 2.878352463094162e-06,
+            "gpu": 0.0011204146741087939,
+            "total": 0.001405459644901099
+        },
+        "efficiency": {
+            "unit": "tokens/kWh",
+            "value": 218923397.1364946
+        },
+        "measures": [
+            {
+                "unit": "kWh",
+                "cpu": 0.00031336019538074554,
+                "ram": 3.1952333195117534e-06,
+                "gpu": 0.00122852237170612,
+                "total": 0.0015450778004063774
+            },
+            {
+                "unit": "kWh",
+                "cpu": 0.00031393739547250644,
+                "ram": 3.202335114385519e-06,
+                "gpu": 0.0012359929332390607,
+                "total": 0.001553132663825953
+            },
+            {
+                "unit": "kWh",
+                "cpu": 0.0003159219112732292,
+                "ram": 3.222888771863899e-06,
+                "gpu": 0.0012393301581283822,
+                "total": 0.0015584749581734753
+            },
+            {
+                "unit": "kWh",
+                "cpu": 0.0003150893582905055,
+                "ram": 3.2143926946747804e-06,
+                "gpu": 0.0012481104429333811,
+                "total": 0.0015664141939185612
+            },
+            {
+                "unit": "kWh",
+                "cpu": 0.0003144043295370163,
+                "ram": 3.207396461775205e-06,
+                "gpu": 0.001258061839781277,
+                "total": 0.0015756735657800683
+            },
+            {
+                "unit": "kWh",
+                "cpu": 0.0003145929484800339,
+                "ram": 3.2093337072112605e-06,
+                "gpu": 0.0012565132274318103,
+                "total": 0.001574315509619055
+            },
+            {
+                "unit": "kWh",
+                "cpu": 0.0,
+                "ram": 0.0,
+                "gpu": 0.0,
+                "total": 0.0
+            },
+            {
+                "unit": "kWh",
+                "cpu": 0.00031270235966302526,
+                "ram": 3.190109472312273e-06,
+                "gpu": 0.0012584437845308827,
+                "total": 0.001574336253666219
+            },
+            {
+                "unit": "kWh",
+                "cpu": 0.0003087726142439349,
+                "ram": 3.149867500644629e-06,
+                "gpu": 0.0012466090528420182,
+                "total": 0.001558531534586599
+            },
+            {
+                "unit": "kWh",
+                "cpu": 0.00031288507095111233,
+                "ram": 3.1919675885623027e-06,
+                "gpu": 0.001232562930495007,
+                "total": 0.0015486399690346833
+            }
+        ]
+    },
+    "decode": {
+        "memory": null,
+        "latency": null,
+        "throughput": null,
+        "energy": {
+            "unit": "kWh",
+            "cpu": 0.0020209151121617142,
+            "ram": 2.0623012510417966e-05,
+            "gpu": 0.004044847485875458,
+            "total": 0.00608638561054759
+        },
+        "efficiency": {
+            "unit": "tokens/kWh",
+            "value": 1478710.1205686298
+        },
+        "measures": [
+            {
+                "unit": "kWh",
+                "cpu": 0.002228578082469823,
+                "ram": 2.2743844645549306e-05,
+                "gpu": 0.004435512992850832,
+                "total": 0.006686834919966205
+            },
+            {
+                "unit": "kWh",
+                "cpu": 0.0022643340706578674,
+                "ram": 2.3107646810448203e-05,
+                "gpu": 0.004506180549384453,
+                "total": 0.00679362226685277
+            },
+            {
+                "unit": "kWh",
+                "cpu": 0.002240564864718504,
+                "ram": 2.2864817856105112e-05,
+                "gpu": 0.004480500528844189,
+                "total": 0.006743930211418801
+            },
+            {
+                "unit": "kWh",
+                "cpu": 0.002231354974089644,
+                "ram": 2.277091024922105e-05,
+                "gpu": 0.0044298010438375,
+                "total": 0.0066839269281763645
+            },
+            {
+                "unit": "kWh",
+                "cpu": -0.0003144043295370163,
+                "ram": -3.207396461775205e-06,
+                "gpu": -0.001258061839781277,
+                "total": -0.0015756735657800683
+            },
+            {
+                "unit": "kWh",
+                "cpu": 0.0022437327763739938,
+                "ram": 2.2895809829293018e-05,
+                "gpu": 0.004527934455678562,
+                "total": 0.006794563041881842
+            },
+            {
+                "unit": "kWh",
+                "cpu": 0.0025504533577234215,
+                "ram": 2.6025299423921498e-05,
+                "gpu": 0.00576570933478493,
+                "total": 0.008342187991932273
+            },
+            {
+                "unit": "kWh",
+                "cpu": 0.0022642733620749727,
+                "ram": 2.3105812715842442e-05,
+                "gpu": 0.004556943645553702,
+                "total": 0.006844322820344518
+            },
+            {
+                "unit": "kWh",
+                "cpu": 0.0022470556892481295,
+                "ram": 2.2930371845914078e-05,
+                "gpu": 0.004533760849227519,
+                "total": 0.006803746910321554
+            },
+            {
+                "unit": "kWh",
+                "cpu": 0.0022532082737978065,
+                "ram": 2.299300818966014e-05,
+                "gpu": 0.00447019329837417,
+                "total": 0.00674639458036163
+            }
+        ]
+    },
+    "per_token": {
+        "memory": null,
+        "latency": null,
+        "throughput": null,
+        "energy": null,
+        "efficiency": null,
+        "measures": null
+    },
+    "preprocess": {
+        "memory": null,
+        "latency": null,
+        "throughput": null,
+        "energy": {
+            "unit": "kWh",
+            "cpu": 1.0718486329682895e-05,
+            "ram": 7.992339706452299e-08,
+            "gpu": 1.7620569652265772e-05,
+            "total": 2.841897937901319e-05
+        },
+        "efficiency": {
+            "unit": "samples/kWh",
+            "value": 35187752.05342098
+        },
+        "measures": null
+    }
+}

text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/cli.log

@@ -0,0 +1,188 @@
+[2024-10-23 19:09:18,036][launcher][INFO] - ََAllocating process launcher
+[2024-10-23 19:09:18,036][process][INFO] - 	+ Setting multiprocessing start method to spawn.
+[2024-10-23 19:09:18,048][process][INFO] - 	+ Launched benchmark in isolated process 200.
+[PROC-0][2024-10-23 19:09:20,588][datasets][INFO] - PyTorch version 2.4.0 available.
+[PROC-0][2024-10-23 19:09:21,586][backend][INFO] - َAllocating pytorch backend
+[PROC-0][2024-10-23 19:09:21,586][backend][INFO] - 	+ Setting random seed to 42
+[PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - 	+ Using AutoModel class AutoModelForCausalLM
+[PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - 	+ Creating backend temporary directory
+[PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - 	+ Loading model with random weights
+[PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - 	+ Creating no weights model
+[PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - 	+ Creating no weights model directory
+[PROC-0][2024-10-23 19:09:22,339][pytorch][INFO] - 	+ Creating no weights model state dict
+[PROC-0][2024-10-23 19:09:22,362][pytorch][INFO] - 	+ Saving no weights model safetensors
+[PROC-0][2024-10-23 19:09:22,362][pytorch][INFO] - 	+ Saving no weights model pretrained config
+[PROC-0][2024-10-23 19:09:22,363][pytorch][INFO] - 	+ Loading no weights AutoModel
+[PROC-0][2024-10-23 19:09:22,363][pytorch][INFO] - 	+ Loading model directly on device: cuda
+[PROC-0][2024-10-23 19:09:22,632][pytorch][INFO] - 	+ Turning on model's eval mode
+[PROC-0][2024-10-23 19:09:22,639][benchmark][INFO] - Allocating energy_star benchmark
+[PROC-0][2024-10-23 19:09:22,639][energy_star][INFO] - 	+ Loading raw dataset
+[PROC-0][2024-10-23 19:09:23,925][energy_star][INFO] - 	+ Updating Text Generation kwargs with default values
+[PROC-0][2024-10-23 19:09:23,925][energy_star][INFO] - 	+ Initializing Text Generation report
+[PROC-0][2024-10-23 19:09:23,925][energy][INFO] - 	+ Tracking GPU energy on devices [0]
+[PROC-0][2024-10-23 19:09:28,124][energy_star][INFO] - 	+ Preprocessing dataset
+[PROC-0][2024-10-23 19:09:29,033][energy][INFO] - 	+ Saving codecarbon emission data to preprocess_codecarbon.json
+[PROC-0][2024-10-23 19:09:29,034][energy_star][INFO] - 	+ Preparing backend for Inference
+[PROC-0][2024-10-23 19:09:29,034][energy_star][INFO] - 	+ Initialising dataloader
+[PROC-0][2024-10-23 19:09:29,034][energy_star][INFO] - 	+ Warming up backend for Inference
+[PROC-0][2024-10-23 19:09:30,243][energy_star][INFO] - 	+ Additional warmup for Text Generation
+[PROC-0][2024-10-23 19:09:30,452][energy_star][INFO] - 	+ Running Text Generation energy tracking for 10 iterations
+[PROC-0][2024-10-23 19:09:30,452][energy_star][INFO] - 	+ Prefill iteration 1/10
+[PROC-0][2024-10-23 19:09:56,997][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:09:56,997][energy_star][INFO] - 	+ Prefill iteration 2/10
+[PROC-0][2024-10-23 19:10:23,590][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:10:23,590][energy_star][INFO] - 	+ Prefill iteration 3/10
+[PROC-0][2024-10-23 19:10:50,351][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:10:50,352][energy_star][INFO] - 	+ Prefill iteration 4/10
+[PROC-0][2024-10-23 19:11:17,042][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:11:17,043][energy_star][INFO] - 	+ Prefill iteration 5/10
+[PROC-0][2024-10-23 19:11:43,675][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:11:43,676][energy_star][INFO] - 	+ Prefill iteration 6/10
+[PROC-0][2024-10-23 19:12:10,324][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:12:10,324][energy_star][INFO] - 	+ Prefill iteration 7/10
+[PROC-0][2024-10-23 19:12:36,878][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:12:36,878][energy_star][INFO] - 	+ Prefill iteration 8/10
+[PROC-0][2024-10-23 19:13:03,366][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:13:03,367][energy_star][INFO] - 	+ Prefill iteration 9/10
+[PROC-0][2024-10-23 19:13:29,522][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:13:29,523][energy_star][INFO] - 	+ Prefill iteration 10/10
+[PROC-0][2024-10-23 19:13:56,027][energy][INFO] - 	+ Saving codecarbon emission data to prefill_codecarbon.json
+[PROC-0][2024-10-23 19:13:56,027][energy_star][INFO] - 	+ Decoding iteration 1/10
+[PROC-0][2024-10-23 19:17:31,345][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:17:31,345][energy_star][INFO] - 	+ Decoding iteration 2/10
+[PROC-0][2024-10-23 19:21:09,741][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:21:09,741][energy_star][INFO] - 	+ Decoding iteration 3/10
+[PROC-0][2024-10-23 19:24:46,291][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:24:46,292][energy_star][INFO] - 	+ Decoding iteration 4/10
+[PROC-0][2024-10-23 19:28:21,991][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:28:21,991][energy_star][INFO] - 	+ Decoding iteration 5/10
+[PROC-0][2024-10-23 19:31:58,797][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:31:58,797][energy_star][INFO] - 	+ Decoding iteration 6/10
+[PROC-0][2024-10-23 19:35:35,503][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:35:35,503][energy_star][INFO] - 	+ Decoding iteration 7/10
+[PROC-0][2024-10-23 19:39:11,542][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:39:11,543][energy_star][INFO] - 	+ Decoding iteration 8/10
+[PROC-0][2024-10-23 19:42:49,828][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:42:49,829][energy_star][INFO] - 	+ Decoding iteration 9/10
+[PROC-0][2024-10-23 19:46:26,323][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:46:26,323][energy_star][INFO] - 	+ Decoding iteration 10/10
+[PROC-0][2024-10-23 19:50:03,687][energy][INFO] - 	+ Saving codecarbon emission data to generate_codecarbon.json
+[PROC-0][2024-10-23 19:50:03,688][energy][INFO] - 		+ prefill energy consumption:
+[PROC-0][2024-10-23 19:50:03,688][energy][INFO] - 			+ CPU: 0.000282 (kWh)
+[PROC-0][2024-10-23 19:50:03,688][energy][INFO] - 			+ GPU: 0.001120 (kWh)
+[PROC-0][2024-10-23 19:50:03,688][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,688][energy][INFO] - 			+ total: 0.001405 (kWh)
+[PROC-0][2024-10-23 19:50:03,688][energy][INFO] - 		+ prefill_iteration_1 energy consumption:
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ CPU: 0.000313 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ GPU: 0.001229 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ total: 0.001545 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 		+ prefill_iteration_2 energy consumption:
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ CPU: 0.000314 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ GPU: 0.001236 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ total: 0.001553 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 		+ prefill_iteration_3 energy consumption:
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ CPU: 0.000316 (kWh)
+[PROC-0][2024-10-23 19:50:03,689][energy][INFO] - 			+ GPU: 0.001239 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ total: 0.001558 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 		+ prefill_iteration_4 energy consumption:
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ CPU: 0.000315 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ GPU: 0.001248 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ total: 0.001566 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 		+ prefill_iteration_5 energy consumption:
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ CPU: 0.000314 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ GPU: 0.001258 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,690][energy][INFO] - 			+ total: 0.001576 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 		+ prefill_iteration_6 energy consumption:
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ CPU: 0.000315 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ GPU: 0.001257 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ total: 0.001574 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 		+ prefill_iteration_7 energy consumption:
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ CPU: 0.000000 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ GPU: 0.000000 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ total: 0.000000 (kWh)
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 		+ prefill_iteration_8 energy consumption:
+[PROC-0][2024-10-23 19:50:03,691][energy][INFO] - 			+ CPU: 0.000313 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ GPU: 0.001258 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ total: 0.001574 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 		+ prefill_iteration_9 energy consumption:
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ CPU: 0.000309 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ GPU: 0.001247 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ total: 0.001559 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 		+ prefill_iteration_10 energy consumption:
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ CPU: 0.000313 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ GPU: 0.001233 (kWh)
+[PROC-0][2024-10-23 19:50:03,692][energy][INFO] - 			+ RAM: 0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ total: 0.001549 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 		+ decode energy consumption:
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ CPU: 0.002021 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ GPU: 0.004045 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ RAM: 0.000021 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ total: 0.006086 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 		+ decode_iteration_1 energy consumption:
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ CPU: 0.002229 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ GPU: 0.004436 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ RAM: 0.000023 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 			+ total: 0.006687 (kWh)
+[PROC-0][2024-10-23 19:50:03,693][energy][INFO] - 		+ decode_iteration_2 energy consumption:
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ CPU: 0.002264 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ GPU: 0.004506 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ RAM: 0.000023 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ total: 0.006794 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 		+ decode_iteration_3 energy consumption:
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ CPU: 0.002241 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ GPU: 0.004481 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ RAM: 0.000023 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ total: 0.006744 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 		+ decode_iteration_4 energy consumption:
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ CPU: 0.002231 (kWh)
+[PROC-0][2024-10-23 19:50:03,694][energy][INFO] - 			+ GPU: 0.004430 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ RAM: 0.000023 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ total: 0.006684 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 		+ decode_iteration_5 energy consumption:
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ CPU: -0.000314 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ GPU: -0.001258 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ RAM: -0.000003 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ total: -0.001576 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 		+ decode_iteration_6 energy consumption:
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ CPU: 0.002244 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ GPU: 0.004528 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ RAM: 0.000023 (kWh)
+[PROC-0][2024-10-23 19:50:03,695][energy][INFO] - 			+ total: 0.006795 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 		+ decode_iteration_7 energy consumption:
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ CPU: 0.002550 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ GPU: 0.005766 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ RAM: 0.000026 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ total: 0.008342 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 		+ decode_iteration_8 energy consumption:
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ CPU: 0.002264 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ GPU: 0.004557 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ RAM: 0.000023 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ total: 0.006844 (kWh)
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 		+ decode_iteration_9 energy consumption:
+[PROC-0][2024-10-23 19:50:03,696][energy][INFO] - 			+ CPU: 0.002247 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ GPU: 0.004534 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ RAM: 0.000023 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ total: 0.006804 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 		+ decode_iteration_10 energy consumption:
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ CPU: 0.002253 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ GPU: 0.004470 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ RAM: 0.000023 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ total: 0.006746 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 		+ preprocess energy consumption:
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ CPU: 0.000011 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ GPU: 0.000018 (kWh)
+[PROC-0][2024-10-23 19:50:03,697][energy][INFO] - 			+ RAM: 0.000000 (kWh)
+[PROC-0][2024-10-23 19:50:03,698][energy][INFO] - 			+ total: 0.000028 (kWh)
+[PROC-0][2024-10-23 19:50:03,698][energy][INFO] - 		+ prefill energy efficiency: 218923397.136495 (tokens/kWh)
+[PROC-0][2024-10-23 19:50:03,698][energy][INFO] - 		+ decode energy efficiency: 1478710.120569 (tokens/kWh)
+[PROC-0][2024-10-23 19:50:03,698][energy][INFO] - 		+ preprocess energy efficiency: 35187752.053421 (samples/kWh)
+[2024-10-23 19:50:04,393][datasets][INFO] - PyTorch version 2.4.0 available.

text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/experiment_config.json

@@ -0,0 +1,110 @@
+{
+    "experiment_name": "text_generation",
+    "backend": {
+        "name": "pytorch",
+        "version": "2.4.0",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "task": "text-generation",
+        "model": "HuggingFaceTB/SmolLM-135M",
+        "processor": "HuggingFaceTB/SmolLM-135M",
+        "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": false,
+        "device_isolation_action": "warn",
+        "start_method": "spawn"
+    },
+    "benchmark": {
+        "name": "energy_star",
+        "_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
+        "dataset_name": "EnergyStarAI/text_generation",
+        "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": {
+            "max_new_tokens": 10,
+            "min_new_tokens": 10
+        },
+        "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
+    }
+}

text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/generate_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-23T19:50:03",
+    "project_name": "codecarbon",
+    "run_id": "05f83304-edf6-4273-b97d-e5de644eb411",
+    "duration": -1728779136.923329,
+    "emissions": 0.003061982417973605,
+    "emissions_rate": 1.4087063947890143e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 94.45086032614498,
+    "ram_power": 0.433685302734375,
+    "cpu_energy": 0.002566093344748919,
+    "gpu_energy": 0.005702756228869177,
+    "ram_energy": 2.6184975778222443e-05,
+    "energy_consumed": 0.008295034549396313,
+    "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
+}

text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/prefill_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-23T19:13:56",
+    "project_name": "codecarbon",
+    "run_id": "05f83304-edf6-4273-b97d-e5de644eb411",
+    "duration": -1728779327.7865484,
+    "emissions": 0.0005716562515463526,
+    "emissions_rate": 2.157349516334259e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 167.43685773439154,
+    "ram_power": 0.43362236022949224,
+    "cpu_energy": 0.00031288507095111233,
+    "gpu_energy": 0.001232562930495007,
+    "ram_energy": 3.1919675885623027e-06,
+    "energy_consumed": 0.0015486399690346833,
+    "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
+}

text_generation/HuggingFaceTB/SmolLM-135M/2024-10-23-19-09-15/preprocess_codecarbon.json

@@ -0,0 +1,33 @@
+{
+    "timestamp": "2024-10-23T19:09:29",
+    "project_name": "codecarbon",
+    "run_id": "05f83304-edf6-4273-b97d-e5de644eb411",
+    "duration": -1728779353.3788598,
+    "emissions": 1.0490422273361802e-05,
+    "emissions_rate": 1.158058972493827e-05,
+    "cpu_power": 42.5,
+    "gpu_power": 70.04019833296246,
+    "ram_power": 0.31796836853027344,
+    "cpu_energy": 1.0718486329682895e-05,
+    "gpu_energy": 1.7620569652265772e-05,
+    "ram_energy": 7.992339706452299e-08,
+    "energy_consumed": 2.841897937901319e-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
+}