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  1. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/.hydra/config.yaml +94 -0
  2. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/.hydra/hydra.yaml +175 -0
  3. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/.hydra/overrides.yaml +2 -0
  4. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/benchmark_report.json +107 -0
  5. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/cli.log +113 -0
  6. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/error.log +178 -0
  7. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/experiment_config.json +107 -0
  8. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/forward_codecarbon.json +33 -0
  9. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/preprocess_codecarbon.json +33 -0
runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/.hydra/config.yaml ADDED
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1
+ backend:
2
+ name: pytorch
3
+ version: 2.4.0
4
+ _target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
5
+ task: text-classification
6
+ model: distilbert/distilbert-base-uncased-finetuned-sst-2-english
7
+ processor: distilbert/distilbert-base-uncased-finetuned-sst-2-english
8
+ library: null
9
+ device: cuda
10
+ device_ids: '0'
11
+ seed: 42
12
+ inter_op_num_threads: null
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+ intra_op_num_threads: null
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+ hub_kwargs: {}
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+ no_weights: true
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+ device_map: null
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+ torch_dtype: null
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+ amp_autocast: false
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+ amp_dtype: null
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+ eval_mode: true
21
+ to_bettertransformer: false
22
+ low_cpu_mem_usage: null
23
+ attn_implementation: null
24
+ cache_implementation: null
25
+ torch_compile: false
26
+ torch_compile_config: {}
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+ quantization_scheme: null
28
+ quantization_config: {}
29
+ deepspeed_inference: false
30
+ deepspeed_inference_config: {}
31
+ peft_type: null
32
+ peft_config: {}
33
+ launcher:
34
+ name: process
35
+ _target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
36
+ device_isolation: true
37
+ device_isolation_action: warn
38
+ start_method: spawn
39
+ benchmark:
40
+ name: energy_star
41
+ _target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
42
+ dataset_name: EnergyStarAI/text_classification
43
+ dataset_config: ''
44
+ dataset_split: train
45
+ num_samples: 1000
46
+ input_shapes:
47
+ batch_size: 1
48
+ text_column_name: text
49
+ truncation: true
50
+ max_length: -1
51
+ dataset_prefix1: ''
52
+ dataset_prefix2: ''
53
+ t5_task: ''
54
+ image_column_name: image
55
+ resize: false
56
+ question_column_name: question
57
+ context_column_name: context
58
+ sentence1_column_name: sentence1
59
+ sentence2_column_name: sentence2
60
+ audio_column_name: audio
61
+ iterations: 10
62
+ warmup_runs: 10
63
+ energy: true
64
+ forward_kwargs: {}
65
+ generate_kwargs: {}
66
+ call_kwargs: {}
67
+ experiment_name: text_classification
68
+ environment:
69
+ cpu: ' AMD EPYC 7R32'
70
+ cpu_count: 48
71
+ cpu_ram_mb: 200472.73984
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+ system: Linux
73
+ machine: x86_64
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+ platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
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+ processor: x86_64
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+ python_version: 3.9.20
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+ gpu:
78
+ - NVIDIA A10G
79
+ gpu_count: 1
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+ gpu_vram_mb: 24146608128
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+ optimum_benchmark_version: 0.2.0
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+ optimum_benchmark_commit: null
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+ transformers_version: 4.44.0
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+ transformers_commit: null
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+ accelerate_version: 0.33.0
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+ accelerate_commit: null
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+ diffusers_version: 0.30.0
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+ diffusers_commit: null
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+ optimum_version: null
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+ optimum_commit: null
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+ timm_version: null
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+ timm_commit: null
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+ peft_version: null
94
+ peft_commit: null
runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/.hydra/hydra.yaml ADDED
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1
+ hydra:
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+ run:
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+ dir: ./runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46
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+ sweep:
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+ dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
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+ subdir: ${hydra.job.num}
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+ launcher:
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+ _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
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+ sweeper:
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+ _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
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+ max_batch_size: null
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+ params: null
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+ help:
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+ app_name: ${hydra.job.name}
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+ header: '${hydra.help.app_name} is powered by Hydra.
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+
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+ '
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+ footer: 'Powered by Hydra (https://hydra.cc)
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+
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+ Use --hydra-help to view Hydra specific help
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+
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+ '
23
+ template: '${hydra.help.header}
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+
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+ == Configuration groups ==
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+
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+ Compose your configuration from those groups (group=option)
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+
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+
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+ $APP_CONFIG_GROUPS
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+
32
+
33
+ == Config ==
34
+
35
+ Override anything in the config (foo.bar=value)
36
+
37
+
38
+ $CONFIG
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+
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+
41
+ ${hydra.help.footer}
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+
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+ '
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+ hydra_help:
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+ template: 'Hydra (${hydra.runtime.version})
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+
47
+ See https://hydra.cc for more info.
48
+
49
+
50
+ == Flags ==
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+
52
+ $FLAGS_HELP
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+
54
+
55
+ == Configuration groups ==
56
+
57
+ Compose your configuration from those groups (For example, append hydra/job_logging=disabled
58
+ to command line)
59
+
60
+
61
+ $HYDRA_CONFIG_GROUPS
62
+
63
+
64
+ Use ''--cfg hydra'' to Show the Hydra config.
65
+
66
+ '
67
+ hydra_help: ???
68
+ hydra_logging:
69
+ version: 1
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+ formatters:
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+ colorlog:
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+ (): colorlog.ColoredFormatter
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+ format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
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+ handlers:
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+ console:
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+ class: logging.StreamHandler
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+ formatter: colorlog
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+ stream: ext://sys.stdout
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+ root:
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+ level: INFO
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+ handlers:
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+ - console
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+ disable_existing_loggers: false
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+ job_logging:
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+ version: 1
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+ formatters:
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+ simple:
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+ format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
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+ colorlog:
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+ (): colorlog.ColoredFormatter
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+ format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
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+ - %(message)s'
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+ log_colors:
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+ DEBUG: purple
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+ INFO: green
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+ WARNING: yellow
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+ ERROR: red
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+ CRITICAL: red
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+ handlers:
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+ console:
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+ class: logging.StreamHandler
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+ formatter: colorlog
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+ stream: ext://sys.stdout
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+ file:
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+ class: logging.FileHandler
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+ formatter: simple
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+ filename: ${hydra.job.name}.log
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+ root:
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+ level: INFO
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+ handlers:
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+ - console
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+ - file
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+ disable_existing_loggers: false
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+ env: {}
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+ mode: RUN
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+ searchpath: []
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+ callbacks: {}
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+ output_subdir: .hydra
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+ overrides:
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+ hydra:
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+ - hydra.run.dir=./runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46
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+ - hydra.mode=RUN
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+ task:
124
+ - backend.model=distilbert/distilbert-base-uncased-finetuned-sst-2-english
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+ - backend.processor=distilbert/distilbert-base-uncased-finetuned-sst-2-english
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+ job:
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+ name: cli
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+ chdir: true
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+ override_dirname: backend.model=distilbert/distilbert-base-uncased-finetuned-sst-2-english,backend.processor=distilbert/distilbert-base-uncased-finetuned-sst-2-english
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+ id: ???
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+ num: ???
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+ config_name: text_classification
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+ env_set:
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+ OVERRIDE_BENCHMARKS: '1'
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+ env_copy: []
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+ config:
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+ override_dirname:
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+ kv_sep: '='
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+ item_sep: ','
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+ exclude_keys: []
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+ runtime:
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+ version: 1.3.2
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+ version_base: '1.3'
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+ cwd: /
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+ config_sources:
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+ - path: hydra.conf
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+ schema: pkg
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+ provider: hydra
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+ - path: optimum_benchmark
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+ schema: pkg
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+ provider: main
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+ - path: hydra_plugins.hydra_colorlog.conf
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+ schema: pkg
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+ provider: hydra-colorlog
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+ - path: /optimum-benchmark/examples/energy_star
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+ schema: file
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+ provider: command-line
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+ - path: ''
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+ schema: structured
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+ provider: schema
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+ output_dir: /runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46
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+ choices:
163
+ benchmark: energy_star
164
+ launcher: process
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+ backend: pytorch
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+ hydra/env: default
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+ hydra/callbacks: null
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+ hydra/job_logging: colorlog
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+ hydra/hydra_logging: colorlog
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+ hydra/hydra_help: default
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+ hydra/help: default
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+ hydra/sweeper: basic
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+ hydra/launcher: basic
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+ hydra/output: default
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+ verbose: false
runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/.hydra/overrides.yaml ADDED
@@ -0,0 +1,2 @@
 
 
 
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+ - backend.model=distilbert/distilbert-base-uncased-finetuned-sst-2-english
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+ - backend.processor=distilbert/distilbert-base-uncased-finetuned-sst-2-english
runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/benchmark_report.json ADDED
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runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/cli.log ADDED
@@ -0,0 +1,113 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [2024-10-08 13:01:49,508][launcher][INFO] - ََAllocating process launcher
2
+ [2024-10-08 13:01:49,509][process][INFO] - + Setting multiprocessing start method to spawn.
3
+ [2024-10-08 13:01:49,518][device-isolation][INFO] - + Launched device(s) isolation process 180
4
+ [2024-10-08 13:01:49,519][device-isolation][INFO] - + Isolating device(s) [0]
5
+ [2024-10-08 13:01:49,524][process][INFO] - + Launched benchmark in isolated process 181.
6
+ [PROC-0][2024-10-08 13:01:52,089][datasets][INFO] - PyTorch version 2.4.0 available.
7
+ [PROC-0][2024-10-08 13:01:53,065][backend][INFO] - َAllocating pytorch backend
8
+ [PROC-0][2024-10-08 13:01:53,065][backend][INFO] - + Setting random seed to 42
9
+ [PROC-0][2024-10-08 13:01:53,587][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
10
+ [PROC-0][2024-10-08 13:01:53,587][pytorch][INFO] - + Creating backend temporary directory
11
+ [PROC-0][2024-10-08 13:01:53,588][pytorch][INFO] - + Loading model with random weights
12
+ [PROC-0][2024-10-08 13:01:53,588][pytorch][INFO] - + Creating no weights model
13
+ [PROC-0][2024-10-08 13:01:53,588][pytorch][INFO] - + Creating no weights model directory
14
+ [PROC-0][2024-10-08 13:01:53,588][pytorch][INFO] - + Creating no weights model state dict
15
+ [PROC-0][2024-10-08 13:01:53,590][pytorch][INFO] - + Saving no weights model safetensors
16
+ [PROC-0][2024-10-08 13:01:53,590][pytorch][INFO] - + Saving no weights model pretrained config
17
+ [PROC-0][2024-10-08 13:01:53,591][pytorch][INFO] - + Loading no weights AutoModel
18
+ [PROC-0][2024-10-08 13:01:53,591][pytorch][INFO] - + Loading model directly on device: cuda
19
+ [PROC-0][2024-10-08 13:01:53,736][pytorch][INFO] - + Turning on model's eval mode
20
+ [PROC-0][2024-10-08 13:01:53,742][benchmark][INFO] - Allocating energy_star benchmark
21
+ [PROC-0][2024-10-08 13:01:53,742][energy_star][INFO] - + Loading raw dataset
22
+ [PROC-0][2024-10-08 13:01:54,454][energy_star][INFO] - + Initializing Inference report
23
+ [PROC-0][2024-10-08 13:01:54,454][energy][INFO] - + Tracking GPU energy on devices [0]
24
+ [PROC-0][2024-10-08 13:01:58,639][energy_star][INFO] - + Preprocessing dataset
25
+ [PROC-0][2024-10-08 13:01:59,066][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
26
+ [PROC-0][2024-10-08 13:01:59,067][energy_star][INFO] - + Preparing backend for Inference
27
+ [PROC-0][2024-10-08 13:01:59,067][energy_star][INFO] - + Initialising dataloader
28
+ [PROC-0][2024-10-08 13:01:59,067][energy_star][INFO] - + Warming up backend for Inference
29
+ [PROC-0][2024-10-08 13:01:59,710][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
30
+ [PROC-0][2024-10-08 13:01:59,711][energy_star][INFO] - + Iteration 1/10
31
+ [PROC-0][2024-10-08 13:02:03,643][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
32
+ [PROC-0][2024-10-08 13:02:03,643][energy_star][INFO] - + Iteration 2/10
33
+ [PROC-0][2024-10-08 13:02:07,522][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
34
+ [PROC-0][2024-10-08 13:02:07,523][energy_star][INFO] - + Iteration 3/10
35
+ [PROC-0][2024-10-08 13:02:11,549][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
36
+ [PROC-0][2024-10-08 13:02:11,549][energy_star][INFO] - + Iteration 4/10
37
+ [PROC-0][2024-10-08 13:02:15,589][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
38
+ [PROC-0][2024-10-08 13:02:15,589][energy_star][INFO] - + Iteration 5/10
39
+ [PROC-0][2024-10-08 13:02:19,530][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
40
+ [PROC-0][2024-10-08 13:02:19,530][energy_star][INFO] - + Iteration 6/10
41
+ [PROC-0][2024-10-08 13:02:23,440][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
42
+ [PROC-0][2024-10-08 13:02:23,441][energy_star][INFO] - + Iteration 7/10
43
+ [PROC-0][2024-10-08 13:02:27,329][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
44
+ [PROC-0][2024-10-08 13:02:27,329][energy_star][INFO] - + Iteration 8/10
45
+ [PROC-0][2024-10-08 13:02:31,260][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
46
+ [PROC-0][2024-10-08 13:02:31,261][energy_star][INFO] - + Iteration 9/10
47
+ [PROC-0][2024-10-08 13:02:35,232][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
48
+ [PROC-0][2024-10-08 13:02:35,233][energy_star][INFO] - + Iteration 10/10
49
+ [PROC-0][2024-10-08 13:02:39,178][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
50
+ [PROC-0][2024-10-08 13:02:39,178][energy][INFO] - + forward energy consumption:
51
+ [PROC-0][2024-10-08 13:02:39,178][energy][INFO] - + CPU: 0.000042 (kWh)
52
+ [PROC-0][2024-10-08 13:02:39,179][energy][INFO] - + GPU: 0.000163 (kWh)
53
+ [PROC-0][2024-10-08 13:02:39,179][energy][INFO] - + RAM: 0.000000 (kWh)
54
+ [PROC-0][2024-10-08 13:02:39,179][energy][INFO] - + total: 0.000206 (kWh)
55
+ [PROC-0][2024-10-08 13:02:39,179][energy][INFO] - + forward_iteration_1 energy consumption:
56
+ [PROC-0][2024-10-08 13:02:39,179][energy][INFO] - + CPU: 0.000046 (kWh)
57
+ [PROC-0][2024-10-08 13:02:39,179][energy][INFO] - + GPU: 0.000179 (kWh)
58
+ [PROC-0][2024-10-08 13:02:39,179][energy][INFO] - + RAM: 0.000000 (kWh)
59
+ [PROC-0][2024-10-08 13:02:39,179][energy][INFO] - + total: 0.000226 (kWh)
60
+ [PROC-0][2024-10-08 13:02:39,179][energy][INFO] - + forward_iteration_2 energy consumption:
61
+ [PROC-0][2024-10-08 13:02:39,179][energy][INFO] - + CPU: 0.000046 (kWh)
62
+ [PROC-0][2024-10-08 13:02:39,180][energy][INFO] - + GPU: 0.000174 (kWh)
63
+ [PROC-0][2024-10-08 13:02:39,180][energy][INFO] - + RAM: 0.000000 (kWh)
64
+ [PROC-0][2024-10-08 13:02:39,180][energy][INFO] - + total: 0.000220 (kWh)
65
+ [PROC-0][2024-10-08 13:02:39,180][energy][INFO] - + forward_iteration_3 energy consumption:
66
+ [PROC-0][2024-10-08 13:02:39,180][energy][INFO] - + CPU: 0.000048 (kWh)
67
+ [PROC-0][2024-10-08 13:02:39,180][energy][INFO] - + GPU: 0.000186 (kWh)
68
+ [PROC-0][2024-10-08 13:02:39,180][energy][INFO] - + RAM: 0.000000 (kWh)
69
+ [PROC-0][2024-10-08 13:02:39,180][energy][INFO] - + total: 0.000234 (kWh)
70
+ [PROC-0][2024-10-08 13:02:39,180][energy][INFO] - + forward_iteration_4 energy consumption:
71
+ [PROC-0][2024-10-08 13:02:39,181][energy][INFO] - + CPU: 0.000048 (kWh)
72
+ [PROC-0][2024-10-08 13:02:39,181][energy][INFO] - + GPU: 0.000181 (kWh)
73
+ [PROC-0][2024-10-08 13:02:39,181][energy][INFO] - + RAM: 0.000000 (kWh)
74
+ [PROC-0][2024-10-08 13:02:39,181][energy][INFO] - + total: 0.000230 (kWh)
75
+ [PROC-0][2024-10-08 13:02:39,181][energy][INFO] - + forward_iteration_5 energy consumption:
76
+ [PROC-0][2024-10-08 13:02:39,181][energy][INFO] - + CPU: 0.000047 (kWh)
77
+ [PROC-0][2024-10-08 13:02:39,181][energy][INFO] - + GPU: 0.000185 (kWh)
78
+ [PROC-0][2024-10-08 13:02:39,181][energy][INFO] - + RAM: 0.000000 (kWh)
79
+ [PROC-0][2024-10-08 13:02:39,181][energy][INFO] - + total: 0.000232 (kWh)
80
+ [PROC-0][2024-10-08 13:02:39,181][energy][INFO] - + forward_iteration_6 energy consumption:
81
+ [PROC-0][2024-10-08 13:02:39,182][energy][INFO] - + CPU: 0.000046 (kWh)
82
+ [PROC-0][2024-10-08 13:02:39,182][energy][INFO] - + GPU: 0.000181 (kWh)
83
+ [PROC-0][2024-10-08 13:02:39,182][energy][INFO] - + RAM: 0.000000 (kWh)
84
+ [PROC-0][2024-10-08 13:02:39,182][energy][INFO] - + total: 0.000227 (kWh)
85
+ [PROC-0][2024-10-08 13:02:39,182][energy][INFO] - + forward_iteration_7 energy consumption:
86
+ [PROC-0][2024-10-08 13:02:39,182][energy][INFO] - + CPU: 0.000000 (kWh)
87
+ [PROC-0][2024-10-08 13:02:39,182][energy][INFO] - + GPU: 0.000000 (kWh)
88
+ [PROC-0][2024-10-08 13:02:39,182][energy][INFO] - + RAM: 0.000000 (kWh)
89
+ [PROC-0][2024-10-08 13:02:39,182][energy][INFO] - + total: 0.000000 (kWh)
90
+ [PROC-0][2024-10-08 13:02:39,182][energy][INFO] - + forward_iteration_8 energy consumption:
91
+ [PROC-0][2024-10-08 13:02:39,183][energy][INFO] - + CPU: 0.000046 (kWh)
92
+ [PROC-0][2024-10-08 13:02:39,183][energy][INFO] - + GPU: 0.000182 (kWh)
93
+ [PROC-0][2024-10-08 13:02:39,183][energy][INFO] - + RAM: 0.000000 (kWh)
94
+ [PROC-0][2024-10-08 13:02:39,183][energy][INFO] - + total: 0.000228 (kWh)
95
+ [PROC-0][2024-10-08 13:02:39,183][energy][INFO] - + forward_iteration_9 energy consumption:
96
+ [PROC-0][2024-10-08 13:02:39,183][energy][INFO] - + CPU: 0.000047 (kWh)
97
+ [PROC-0][2024-10-08 13:02:39,183][energy][INFO] - + GPU: 0.000185 (kWh)
98
+ [PROC-0][2024-10-08 13:02:39,183][energy][INFO] - + RAM: 0.000000 (kWh)
99
+ [PROC-0][2024-10-08 13:02:39,183][energy][INFO] - + total: 0.000233 (kWh)
100
+ [PROC-0][2024-10-08 13:02:39,184][energy][INFO] - + forward_iteration_10 energy consumption:
101
+ [PROC-0][2024-10-08 13:02:39,184][energy][INFO] - + CPU: 0.000047 (kWh)
102
+ [PROC-0][2024-10-08 13:02:39,184][energy][INFO] - + GPU: 0.000182 (kWh)
103
+ [PROC-0][2024-10-08 13:02:39,184][energy][INFO] - + RAM: 0.000000 (kWh)
104
+ [PROC-0][2024-10-08 13:02:39,184][energy][INFO] - + total: 0.000229 (kWh)
105
+ [PROC-0][2024-10-08 13:02:39,184][energy][INFO] - + preprocess energy consumption:
106
+ [PROC-0][2024-10-08 13:02:39,184][energy][INFO] - + CPU: 0.000005 (kWh)
107
+ [PROC-0][2024-10-08 13:02:39,184][energy][INFO] - + GPU: 0.000007 (kWh)
108
+ [PROC-0][2024-10-08 13:02:39,184][energy][INFO] - + RAM: 0.000000 (kWh)
109
+ [PROC-0][2024-10-08 13:02:39,184][energy][INFO] - + total: 0.000012 (kWh)
110
+ [PROC-0][2024-10-08 13:02:39,185][energy][INFO] - + forward energy efficiency: 4858350.807864 (samples/kWh)
111
+ [PROC-0][2024-10-08 13:02:39,185][energy][INFO] - + preprocess energy efficiency: 80275166.410978 (samples/kWh)
112
+ [2024-10-08 13:02:39,773][device-isolation][INFO] - + Closing device(s) isolation process...
113
+ [2024-10-08 13:02:39,817][datasets][INFO] - PyTorch version 2.4.0 available.
runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/error.log ADDED
@@ -0,0 +1,178 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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1
+ /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
2
+ warnings.warn(
3
+
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+
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+
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+
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+
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+
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+
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+ [codecarbon INFO @ 13:01:54] [setup] RAM Tracking...
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+ [codecarbon INFO @ 13:01:54] [setup] GPU Tracking...
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+ [codecarbon INFO @ 13:01:54] Tracking Nvidia GPU via pynvml
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+ [codecarbon DEBUG @ 13:01:54] GPU available. Starting setup
14
+ [codecarbon INFO @ 13:01:54] [setup] CPU Tracking...
15
+ [codecarbon DEBUG @ 13:01:54] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
16
+ [codecarbon DEBUG @ 13:01:54] Not using the RAPL interface, an exception occurred while instantiating IntelRAPL : Intel RAPL files not found at /sys/class/powercap/intel-rapl on linux
17
+ [codecarbon DEBUG @ 13:01:54] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
18
+ [codecarbon WARNING @ 13:01:54] No CPU tracking mode found. Falling back on CPU constant mode.
19
+ [codecarbon WARNING @ 13:01:55] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
20
+ [codecarbon INFO @ 13:01:55] CPU Model on constant consumption mode: AMD EPYC 7R32
21
+ [codecarbon INFO @ 13:01:55] >>> Tracker's metadata:
22
+ [codecarbon INFO @ 13:01:55] Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
23
+ [codecarbon INFO @ 13:01:55] Python version: 3.9.20
24
+ [codecarbon INFO @ 13:01:55] CodeCarbon version: 2.5.1
25
+ [codecarbon INFO @ 13:01:55] Available RAM : 186.705 GB
26
+ [codecarbon INFO @ 13:01:55] CPU count: 48
27
+ [codecarbon INFO @ 13:01:55] CPU model: AMD EPYC 7R32
28
+ [codecarbon INFO @ 13:01:55] GPU count: 1
29
+ [codecarbon INFO @ 13:01:55] GPU model: 1 x NVIDIA A10G
30
+ [codecarbon DEBUG @ 13:01:56] Not running on AWS
31
+ [codecarbon DEBUG @ 13:01:57] Not running on Azure
32
+ [codecarbon DEBUG @ 13:01:58] Not running on GCP
33
+ [codecarbon INFO @ 13:01:58] Saving emissions data to file /runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/codecarbon.csv
34
+ [codecarbon DEBUG @ 13:01:58] EmissionsData(timestamp='2024-10-08T13:01:58', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.0022171269999944343, emissions=0.0, emissions_rate=0.0, cpu_power=0.0, gpu_power=0.0, ram_power=0.0, cpu_energy=0, gpu_energy=0, ram_energy=0, energy_consumed=0, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
35
+
36
+
37
+ [codecarbon INFO @ 13:01:59] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.27339935302734375 W
38
+ [codecarbon DEBUG @ 13:01:59] RAM : 0.27 W during 0.42 s [measurement time: 0.0005]
39
+ [codecarbon INFO @ 13:01:59] Energy consumed for all GPUs : 0.000007 kWh. Total GPU Power : 62.61794011262714 W
40
+ [codecarbon DEBUG @ 13:01:59] GPU : 62.62 W during 0.42 s [measurement time: 0.0022]
41
+ [codecarbon INFO @ 13:01:59] Energy consumed for all CPUs : 0.000005 kWh. Total CPU Power : 42.5 W
42
+ [codecarbon DEBUG @ 13:01:59] CPU : 42.50 W during 0.43 s [measurement time: 0.0000]
43
+ [codecarbon INFO @ 13:01:59] 0.000012 kWh of electricity used since the beginning.
44
+ [codecarbon DEBUG @ 13:01:59] last_duration=0.423816565999914
45
+ ------------------------
46
+ [codecarbon DEBUG @ 13:01:59] EmissionsData(timestamp='2024-10-08T13:01:59', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.42697465799994916, emissions=4.598363284616753e-06, emissions_rate=1.0769639833325424e-05, cpu_power=42.5, gpu_power=62.61794011262714, ram_power=0.27339935302734375, cpu_energy=5.039404527083176e-06, gpu_energy=7.385561463999803e-06, ram_energy=3.218663418082601e-08, energy_consumed=1.2457152625263805e-05, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
47
+ [codecarbon DEBUG @ 13:01:59] EmissionsData(timestamp='2024-10-08T13:01:59', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.0022345670000731843, emissions=4.598363284616753e-06, emissions_rate=0.0020578319130579443, cpu_power=42.5, gpu_power=62.61794011262714, ram_power=0.27339935302734375, cpu_energy=5.039404527083176e-06, gpu_energy=7.385561463999803e-06, ram_energy=3.218663418082601e-08, energy_consumed=1.2457152625263805e-05, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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+ [codecarbon WARNING @ 13:02:03] Background scheduler didn't run for a long period (3s), results might be inaccurate
89
+ [codecarbon INFO @ 13:02:03] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.344088077545166 W
90
+ [codecarbon DEBUG @ 13:02:03] RAM : 0.34 W during 3.93 s [measurement time: 0.0004]
91
+ [codecarbon INFO @ 13:02:03] Energy consumed for all GPUs : 0.000187 kWh. Total GPU Power : 164.50826052714714 W
92
+ [codecarbon DEBUG @ 13:02:03] GPU : 164.51 W during 3.93 s [measurement time: 0.0053]
93
+ [codecarbon INFO @ 13:02:03] Energy consumed for all CPUs : 0.000051 kWh. Total CPU Power : 42.5 W
94
+ [codecarbon DEBUG @ 13:02:03] CPU : 42.50 W during 3.93 s [measurement time: 0.0000]
95
+ [codecarbon INFO @ 13:02:03] 0.000239 kWh of electricity used since the beginning.
96
+ [codecarbon DEBUG @ 13:02:03] last_duration=3.9250225560000445
97
+ ------------------------
98
+ [codecarbon DEBUG @ 13:02:03] EmissionsData(timestamp='2024-10-08T13:02:03', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.9313579220000747, emissions=8.809180558455209e-05, emissions_rate=2.2407475313195464e-05, cpu_power=42.5, gpu_power=164.50826052714714, ram_power=0.344088077545166, cpu_energy=5.1450096922916725e-05, gpu_energy=0.00018678681609600022, ram_energy=4.073608845729088e-07, energy_consumed=0.00023864427390348986, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
99
+ [codecarbon DEBUG @ 13:02:03] EmissionsData(timestamp='2024-10-08T13:02:03', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.0020242140000164, emissions=8.809180558455209e-05, emissions_rate=0.04351901804050282, cpu_power=42.5, gpu_power=164.50826052714714, ram_power=0.344088077545166, cpu_energy=5.1450096922916725e-05, gpu_energy=0.00018678681609600022, ram_energy=4.073608845729088e-07, energy_consumed=0.00023864427390348986, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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+ [codecarbon WARNING @ 13:02:07] Background scheduler didn't run for a long period (3s), results might be inaccurate
140
+ [codecarbon INFO @ 13:02:07] Energy consumed for RAM : 0.000001 kWh. RAM Power : 0.3441166877746582 W
141
+ [codecarbon DEBUG @ 13:02:07] RAM : 0.34 W during 3.88 s [measurement time: 0.0004]
142
+ [codecarbon INFO @ 13:02:07] Energy consumed for all GPUs : 0.000360 kWh. Total GPU Power : 161.22114466323345 W
143
+ [codecarbon DEBUG @ 13:02:07] GPU : 161.22 W during 3.88 s [measurement time: 0.0022]
144
+ [codecarbon INFO @ 13:02:07] Energy consumed for all CPUs : 0.000097 kWh. Total CPU Power : 42.5 W
145
+ [codecarbon DEBUG @ 13:02:07] CPU : 42.50 W during 3.88 s [measurement time: 0.0000]
146
+ [codecarbon INFO @ 13:02:07] 0.000458 kWh of electricity used since the beginning.
147
+ [codecarbon DEBUG @ 13:02:07] last_duration=3.8756087210000487
148
+ ------------------------
149
+ [codecarbon DEBUG @ 13:02:07] EmissionsData(timestamp='2024-10-08T13:02:07', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.878755604000048, emissions=0.00016921236807989048, emissions_rate=4.362542664595487e-05, cpu_power=42.5, gpu_power=161.22114466323345, ram_power=0.3441166877746582, cpu_energy=9.723976907152746e-05, gpu_energy=0.0003603855660860005, ram_energy=7.778324010774964e-07, energy_consumed=0.00045840316755860547, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
150
+ [codecarbon DEBUG @ 13:02:07] EmissionsData(timestamp='2024-10-08T13:02:07', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.002066713999965941, emissions=0.00016921236807989048, emissions_rate=0.08187507709469188, cpu_power=42.5, gpu_power=161.22114466323345, ram_power=0.3441166877746582, cpu_energy=9.723976907152746e-05, gpu_energy=0.0003603855660860005, ram_energy=7.778324010774964e-07, energy_consumed=0.00045840316755860547, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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+ [codecarbon WARNING @ 13:02:11] Background scheduler didn't run for a long period (4s), results might be inaccurate
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+ [codecarbon INFO @ 13:02:11] Energy consumed for RAM : 0.000001 kWh. RAM Power : 0.3441195487976074 W
193
+ [codecarbon DEBUG @ 13:02:11] RAM : 0.34 W during 4.02 s [measurement time: 0.0004]
194
+ [codecarbon INFO @ 13:02:11] Energy consumed for all GPUs : 0.000547 kWh. Total GPU Power : 166.59459293584817 W
195
+ [codecarbon DEBUG @ 13:02:11] GPU : 166.59 W during 4.02 s [measurement time: 0.0023]
196
+ [codecarbon INFO @ 13:02:11] Energy consumed for all CPUs : 0.000145 kWh. Total CPU Power : 42.5 W
197
+ [codecarbon DEBUG @ 13:02:11] CPU : 42.50 W during 4.03 s [measurement time: 0.0000]
198
+ [codecarbon INFO @ 13:02:11] 0.000692 kWh of electricity used since the beginning.
199
+ [codecarbon DEBUG @ 13:02:11] last_duration=4.0223104200000535
200
+ ------------------------
201
+ [codecarbon DEBUG @ 13:02:11] EmissionsData(timestamp='2024-10-08T13:02:11', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=4.025530553999943, emissions=0.0002556195272544281, emissions_rate=6.349958690549085e-05, cpu_power=42.5, gpu_power=166.59459293584817, ram_power=0.3441195487976074, cpu_energy=0.0001447620110951379, gpu_energy=0.0005465593261360004, ram_energy=1.1623287851676462e-06, energy_consumed=0.000692483666016306, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
202
+ [codecarbon DEBUG @ 13:02:11] EmissionsData(timestamp='2024-10-08T13:02:11', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.0020257639999954336, emissions=0.0002556195272544281, emissions_rate=0.12618425801574334, cpu_power=42.5, gpu_power=166.59459293584817, ram_power=0.3441195487976074, cpu_energy=0.0001447620110951379, gpu_energy=0.0005465593261360004, ram_energy=1.1623287851676462e-06, energy_consumed=0.000692483666016306, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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+ [codecarbon WARNING @ 13:02:15] Background scheduler didn't run for a long period (4s), results might be inaccurate
244
+ [codecarbon INFO @ 13:02:15] Energy consumed for RAM : 0.000002 kWh. RAM Power : 0.3441195487976074 W
245
+ [codecarbon DEBUG @ 13:02:15] RAM : 0.34 W during 4.04 s [measurement time: 0.0004]
246
+ [codecarbon INFO @ 13:02:15] Energy consumed for all GPUs : 0.000728 kWh. Total GPU Power : 161.81244025187812 W
247
+ [codecarbon DEBUG @ 13:02:15] GPU : 161.81 W during 4.04 s [measurement time: 0.0024]
248
+ [codecarbon INFO @ 13:02:15] Energy consumed for all CPUs : 0.000192 kWh. Total CPU Power : 42.5 W
249
+ [codecarbon DEBUG @ 13:02:15] CPU : 42.50 W during 4.04 s [measurement time: 0.0000]
250
+ [codecarbon INFO @ 13:02:15] 0.000922 kWh of electricity used since the beginning.
251
+ [codecarbon DEBUG @ 13:02:15] last_duration=4.036086341999976
252
+ ------------------------
253
+ [codecarbon DEBUG @ 13:02:15] EmissionsData(timestamp='2024-10-08T13:02:15', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=4.03931347199989, emissions=0.00034034244004413366, emissions_rate=8.425749633034248e-05, cpu_power=42.5, gpu_power=161.81244025187812, ram_power=0.3441195487976074, cpu_energy=0.00019244719350277567, gpu_energy=0.00072800613796, ram_energy=1.5481412498839128e-06, energy_consumed=0.0009220014727126596, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
254
+ [codecarbon DEBUG @ 13:02:15] EmissionsData(timestamp='2024-10-08T13:02:15', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.002023970999971425, emissions=0.00034034244004413366, emissions_rate=0.16815578881759605, cpu_power=42.5, gpu_power=161.81244025187812, ram_power=0.3441195487976074, cpu_energy=0.00019244719350277567, gpu_energy=0.00072800613796, ram_energy=1.5481412498839128e-06, energy_consumed=0.0009220014727126596, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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+ [codecarbon WARNING @ 13:02:19] Background scheduler didn't run for a long period (3s), results might be inaccurate
295
+ [codecarbon INFO @ 13:02:19] Energy consumed for RAM : 0.000002 kWh. RAM Power : 0.3441195487976074 W
296
+ [codecarbon DEBUG @ 13:02:19] RAM : 0.34 W during 3.94 s [measurement time: 0.0004]
297
+ [codecarbon INFO @ 13:02:19] Energy consumed for all GPUs : 0.000913 kWh. Total GPU Power : 169.19881768534145 W
298
+ [codecarbon DEBUG @ 13:02:19] GPU : 169.20 W during 3.94 s [measurement time: 0.0036]
299
+ [codecarbon INFO @ 13:02:19] Energy consumed for all CPUs : 0.000239 kWh. Total CPU Power : 42.5 W
300
+ [codecarbon DEBUG @ 13:02:19] CPU : 42.50 W during 3.94 s [measurement time: 0.0000]
301
+ [codecarbon INFO @ 13:02:19] 0.001154 kWh of electricity used since the beginning.
302
+ [codecarbon DEBUG @ 13:02:19] last_duration=3.9353076109999847
303
+ ------------------------
304
+ [codecarbon DEBUG @ 13:02:19] EmissionsData(timestamp='2024-10-08T13:02:19', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.939801181000007, emissions=0.00042593804655264846, emissions_rate=0.00010811155867630258, cpu_power=42.5, gpu_power=169.19881768534145, ram_power=0.3441195487976074, cpu_energy=0.00023895755629652494, gpu_energy=0.0009130015637339997, ram_energy=1.924322054952754e-06, energy_consumed=0.0011538834420854775, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
305
+ [codecarbon DEBUG @ 13:02:19] EmissionsData(timestamp='2024-10-08T13:02:19', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.00672881499997402, emissions=0.00042593804655264846, emissions_rate=0.06330060293741067, cpu_power=42.5, gpu_power=169.19881768534145, ram_power=0.3441195487976074, cpu_energy=0.00023895755629652494, gpu_energy=0.0009130015637339997, ram_energy=1.924322054952754e-06, energy_consumed=0.0011538834420854775, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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+ [codecarbon WARNING @ 13:02:23] Background scheduler didn't run for a long period (3s), results might be inaccurate
346
+ [codecarbon INFO @ 13:02:23] Energy consumed for RAM : 0.000002 kWh. RAM Power : 0.34412240982055664 W
347
+ [codecarbon DEBUG @ 13:02:23] RAM : 0.34 W during 3.91 s [measurement time: 0.0004]
348
+ [codecarbon INFO @ 13:02:23] Energy consumed for all GPUs : 0.001094 kWh. Total GPU Power : 166.44713882712838 W
349
+ [codecarbon DEBUG @ 13:02:23] GPU : 166.45 W during 3.91 s [measurement time: 0.0023]
350
+ [codecarbon INFO @ 13:02:23] Energy consumed for all CPUs : 0.000285 kWh. Total CPU Power : 42.5 W
351
+ [codecarbon DEBUG @ 13:02:23] CPU : 42.50 W during 3.91 s [measurement time: 0.0000]
352
+ [codecarbon INFO @ 13:02:23] 0.001381 kWh of electricity used since the beginning.
353
+ [codecarbon DEBUG @ 13:02:23] last_duration=3.9068080260000215
354
+ ------------------------
355
+ [codecarbon DEBUG @ 13:02:23] EmissionsData(timestamp='2024-10-08T13:02:23', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.9099457949999987, emissions=0.0005098047109615491, emissions_rate=0.00013038664413544618, cpu_power=42.5, gpu_power=166.44713882712838, ram_power=0.34412240982055664, cpu_energy=0.00028511548199652555, gpu_energy=0.0010936683749340004, ram_energy=2.2977802624369826e-06, energy_consumed=0.001381081637192963, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
356
+ [codecarbon DEBUG @ 13:02:23] EmissionsData(timestamp='2024-10-08T13:02:23', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.002026291999982277, emissions=0.0005098047109615491, emissions_rate=0.2515948890712731, cpu_power=42.5, gpu_power=166.44713882712838, ram_power=0.34412240982055664, cpu_energy=0.00028511548199652555, gpu_energy=0.0010936683749340004, ram_energy=2.2977802624369826e-06, energy_consumed=0.001381081637192963, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
357
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+ [codecarbon WARNING @ 13:02:27] Background scheduler didn't run for a long period (3s), results might be inaccurate
397
+ [codecarbon INFO @ 13:02:27] Energy consumed for RAM : 0.000003 kWh. RAM Power : 0.34412240982055664 W
398
+ [codecarbon DEBUG @ 13:02:27] RAM : 0.34 W during 3.88 s [measurement time: 0.0004]
399
+ [codecarbon INFO @ 13:02:27] Energy consumed for all GPUs : 0.001276 kWh. Total GPU Power : 168.879760235557 W
400
+ [codecarbon DEBUG @ 13:02:27] GPU : 168.88 W during 3.88 s [measurement time: 0.0025]
401
+ [codecarbon INFO @ 13:02:27] Energy consumed for all CPUs : 0.000331 kWh. Total CPU Power : 42.5 W
402
+ [codecarbon DEBUG @ 13:02:27] CPU : 42.50 W during 3.89 s [measurement time: 0.0000]
403
+ [codecarbon INFO @ 13:02:27] 0.001610 kWh of electricity used since the beginning.
404
+ [codecarbon DEBUG @ 13:02:27] EmissionsData(timestamp='2024-10-08T13:02:27', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.8871041779999587, emissions=0.0005941470596458625, emissions_rate=0.00015285081964321585, cpu_power=42.5, gpu_power=168.879760235557, ram_power=0.34412240982055664, cpu_energy=0.00033100397732916396, gpu_energy=0.0012758954651600008, ram_energy=2.669037804816254e-06, energy_consumed=0.001609568480293981, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
405
+ [codecarbon INFO @ 13:02:27] 0.021709 g.CO2eq/s mean an estimation of 684.6247066740339 kg.CO2eq/year
406
+ [codecarbon DEBUG @ 13:02:27] last_duration=3.883787933000008
407
+ ------------------------
408
+ [codecarbon DEBUG @ 13:02:27] EmissionsData(timestamp='2024-10-08T13:02:27', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.8874427140000307, emissions=0.0005941470596458625, emissions_rate=0.0001528375087062075, cpu_power=42.5, gpu_power=168.879760235557, ram_power=0.34412240982055664, cpu_energy=0.00033100397732916396, gpu_energy=0.0012758954651600008, ram_energy=2.669037804816254e-06, energy_consumed=0.001609568480293981, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
409
+ [codecarbon DEBUG @ 13:02:27] EmissionsData(timestamp='2024-10-08T13:02:27', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.005072793999943315, emissions=0.0005941470596458625, emissions_rate=0.11712422378131297, cpu_power=42.5, gpu_power=168.879760235557, ram_power=0.34412240982055664, cpu_energy=0.00033100397732916396, gpu_energy=0.0012758954651600008, ram_energy=2.669037804816254e-06, energy_consumed=0.001609568480293981, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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+ [codecarbon WARNING @ 13:02:31] Background scheduler didn't run for a long period (3s), results might be inaccurate
450
+ [codecarbon INFO @ 13:02:31] Energy consumed for RAM : 0.000003 kWh. RAM Power : 0.34412240982055664 W
451
+ [codecarbon DEBUG @ 13:02:31] RAM : 0.34 W during 3.93 s [measurement time: 0.0004]
452
+ [codecarbon INFO @ 13:02:31] Energy consumed for all GPUs : 0.001458 kWh. Total GPU Power : 166.45990558993896 W
453
+ [codecarbon DEBUG @ 13:02:31] GPU : 166.46 W during 3.93 s [measurement time: 0.0023]
454
+ [codecarbon INFO @ 13:02:31] Energy consumed for all CPUs : 0.000377 kWh. Total CPU Power : 42.5 W
455
+ [codecarbon DEBUG @ 13:02:31] CPU : 42.50 W during 3.93 s [measurement time: 0.0000]
456
+ [codecarbon INFO @ 13:02:31] 0.001838 kWh of electricity used since the beginning.
457
+ [codecarbon DEBUG @ 13:02:31] last_duration=3.9277428439999085
458
+ ------------------------
459
+ [codecarbon DEBUG @ 13:02:31] EmissionsData(timestamp='2024-10-08T13:02:31', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.930906269999923, emissions=0.000678468780911744, emissions_rate=0.00017259856488813132, cpu_power=42.5, gpu_power=166.45990558993896, ram_power=0.34412240982055664, cpu_energy=0.00037740933536110764, gpu_energy=0.00145754561048, ram_energy=3.0444970408115106e-06, energy_consumed=0.0018379994428819194, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
460
+ [codecarbon DEBUG @ 13:02:31] EmissionsData(timestamp='2024-10-08T13:02:31', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.0020576900000151, emissions=0.000678468780911744, emissions_rate=0.3297235156446137, cpu_power=42.5, gpu_power=166.45990558993896, ram_power=0.34412240982055664, cpu_energy=0.00037740933536110764, gpu_energy=0.00145754561048, ram_energy=3.0444970408115106e-06, energy_consumed=0.0018379994428819194, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
461
+
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+ [codecarbon WARNING @ 13:02:35] Background scheduler didn't run for a long period (3s), results might be inaccurate
502
+ [codecarbon INFO @ 13:02:35] Energy consumed for RAM : 0.000003 kWh. RAM Power : 0.34412240982055664 W
503
+ [codecarbon DEBUG @ 13:02:35] RAM : 0.34 W during 3.96 s [measurement time: 0.0004]
504
+ [codecarbon INFO @ 13:02:35] Energy consumed for all GPUs : 0.001643 kWh. Total GPU Power : 168.260425038011 W
505
+ [codecarbon DEBUG @ 13:02:35] GPU : 168.26 W during 3.96 s [measurement time: 0.0067]
506
+ [codecarbon INFO @ 13:02:35] Energy consumed for all CPUs : 0.000424 kWh. Total CPU Power : 42.5 W
507
+ [codecarbon DEBUG @ 13:02:35] CPU : 42.50 W during 3.97 s [measurement time: 0.0000]
508
+ [codecarbon INFO @ 13:02:35] 0.002071 kWh of electricity used since the beginning.
509
+ [codecarbon DEBUG @ 13:02:35] last_duration=3.963194380999994
510
+ ------------------------
511
+ [codecarbon DEBUG @ 13:02:35] EmissionsData(timestamp='2024-10-08T13:02:35', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.9707531710000694, emissions=0.0007643019785847099, emissions_rate=0.00019248287306466186, cpu_power=42.5, gpu_power=168.260425038011, ram_power=0.34412240982055664, cpu_energy=0.00042428511917569123, gpu_energy=0.0016428165920300006, ram_energy=3.423345149084833e-06, energy_consumed=0.002070525056354777, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
512
+ [codecarbon DEBUG @ 13:02:35] EmissionsData(timestamp='2024-10-08T13:02:35', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=0.0020522500000197397, emissions=0.0007643019785847099, emissions_rate=0.3724214781714501, cpu_power=42.5, gpu_power=168.260425038011, ram_power=0.34412240982055664, cpu_energy=0.00042428511917569123, gpu_energy=0.0016428165920300006, ram_energy=3.423345149084833e-06, energy_consumed=0.002070525056354777, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
513
+
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  0%| | 0/1000 [00:00<?, ?it/s]
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  97%|█████████▋| 970/1000 [00:03<00:00, 254.14it/s]
552
+ [codecarbon WARNING @ 13:02:39] Background scheduler didn't run for a long period (3s), results might be inaccurate
553
+ [codecarbon INFO @ 13:02:39] Energy consumed for RAM : 0.000004 kWh. RAM Power : 0.34412240982055664 W
554
+ [codecarbon DEBUG @ 13:02:39] RAM : 0.34 W during 3.94 s [measurement time: 0.0004]
555
+ [codecarbon INFO @ 13:02:39] Energy consumed for all GPUs : 0.001825 kWh. Total GPU Power : 166.0055014943033 W
556
+ [codecarbon DEBUG @ 13:02:39] GPU : 166.01 W during 3.94 s [measurement time: 0.0022]
557
+ [codecarbon INFO @ 13:02:39] Energy consumed for all CPUs : 0.000471 kWh. Total CPU Power : 42.5 W
558
+ [codecarbon DEBUG @ 13:02:39] CPU : 42.50 W during 3.94 s [measurement time: 0.0000]
559
+ [codecarbon INFO @ 13:02:39] 0.002299 kWh of electricity used since the beginning.
560
+ [codecarbon DEBUG @ 13:02:39] last_duration=3.941462545000036
561
+ ------------------------
562
+ [codecarbon DEBUG @ 13:02:39] EmissionsData(timestamp='2024-10-08T13:02:39', project_name='codecarbon', run_id='d9e5d902-455c-48c2-8494-cae66f047761', duration=3.9445968759999914, emissions=0.0008487342972597723, emissions_rate=0.00021516376043993353, cpu_power=42.5, gpu_power=166.0055014943033, ram_power=0.34412240982055664, cpu_energy=0.00047085211187360723, gpu_energy=0.001824603404126001, ram_energy=3.8001158098703305e-06, energy_consumed=0.002299255631809479, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/experiment_config.json ADDED
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runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/forward_codecarbon.json ADDED
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runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-13-01-46/preprocess_codecarbon.json ADDED
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