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  1. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-45-32/.hydra/config.yaml +94 -0
  2. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-45-32/.hydra/hydra.yaml +175 -0
  3. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-45-32/.hydra/overrides.yaml +2 -0
  4. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-45-32/benchmark_report.json +107 -0
  5. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-45-32/cli.log +113 -0
  6. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-45-32/error.log +178 -0
  7. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-45-32/experiment_config.json +107 -0
  8. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-45-32/forward_codecarbon.json +33 -0
  9. runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-45-32/preprocess_codecarbon.json +33 -0
runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-45-32/.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
16
+ 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: {}
27
+ 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
75
+ 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
92
+ 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/2024-10-08-17-45-32/.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/2024-10-08-17-45-32
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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 ==
26
+
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+ Compose your configuration from those groups (group=option)
28
+
29
+
30
+ $APP_CONFIG_GROUPS
31
+
32
+
33
+ == Config ==
34
+
35
+ Override anything in the config (foo.bar=value)
36
+
37
+
38
+ $CONFIG
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+
40
+
41
+ ${hydra.help.footer}
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+
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+ '
44
+ hydra_help:
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+ template: 'Hydra (${hydra.runtime.version})
46
+
47
+ See https://hydra.cc for more info.
48
+
49
+
50
+ == Flags ==
51
+
52
+ $FLAGS_HELP
53
+
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/2024-10-08-17-45-32
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+ - hydra.mode=RUN
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+ task:
124
+ - backend.model=distilbert/distilbert-base-uncased-finetuned-sst-2-english
125
+ - 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'
135
+ 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:
146
+ - 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/2024-10-08-17-45-32
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+ choices:
163
+ benchmark: energy_star
164
+ launcher: process
165
+ backend: pytorch
166
+ 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/2024-10-08-17-45-32/.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/2024-10-08-17-45-32/benchmark_report.json ADDED
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runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-45-32/cli.log ADDED
@@ -0,0 +1,113 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [2024-10-08 17:45:35,866][launcher][INFO] - ََAllocating process launcher
2
+ [2024-10-08 17:45:35,867][process][INFO] - + Setting multiprocessing start method to spawn.
3
+ [2024-10-08 17:45:35,878][device-isolation][INFO] - + Launched device(s) isolation process 180
4
+ [2024-10-08 17:45:35,879][device-isolation][INFO] - + Isolating device(s) [0]
5
+ [2024-10-08 17:45:35,884][process][INFO] - + Launched benchmark in isolated process 181.
6
+ [PROC-0][2024-10-08 17:45:38,534][datasets][INFO] - PyTorch version 2.4.0 available.
7
+ [PROC-0][2024-10-08 17:45:39,463][backend][INFO] - َAllocating pytorch backend
8
+ [PROC-0][2024-10-08 17:45:39,464][backend][INFO] - + Setting random seed to 42
9
+ [PROC-0][2024-10-08 17:45:40,036][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
10
+ [PROC-0][2024-10-08 17:45:40,036][pytorch][INFO] - + Creating backend temporary directory
11
+ [PROC-0][2024-10-08 17:45:40,036][pytorch][INFO] - + Loading model with random weights
12
+ [PROC-0][2024-10-08 17:45:40,036][pytorch][INFO] - + Creating no weights model
13
+ [PROC-0][2024-10-08 17:45:40,036][pytorch][INFO] - + Creating no weights model directory
14
+ [PROC-0][2024-10-08 17:45:40,037][pytorch][INFO] - + Creating no weights model state dict
15
+ [PROC-0][2024-10-08 17:45:40,039][pytorch][INFO] - + Saving no weights model safetensors
16
+ [PROC-0][2024-10-08 17:45:40,039][pytorch][INFO] - + Saving no weights model pretrained config
17
+ [PROC-0][2024-10-08 17:45:40,040][pytorch][INFO] - + Loading no weights AutoModel
18
+ [PROC-0][2024-10-08 17:45:40,040][pytorch][INFO] - + Loading model directly on device: cuda
19
+ [PROC-0][2024-10-08 17:45:40,194][pytorch][INFO] - + Turning on model's eval mode
20
+ [PROC-0][2024-10-08 17:45:40,200][benchmark][INFO] - Allocating energy_star benchmark
21
+ [PROC-0][2024-10-08 17:45:40,200][energy_star][INFO] - + Loading raw dataset
22
+ [PROC-0][2024-10-08 17:45:41,021][energy_star][INFO] - + Initializing Inference report
23
+ [PROC-0][2024-10-08 17:45:41,021][energy][INFO] - + Tracking GPU energy on devices [0]
24
+ [PROC-0][2024-10-08 17:45:45,210][energy_star][INFO] - + Preprocessing dataset
25
+ [PROC-0][2024-10-08 17:45:45,641][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
26
+ [PROC-0][2024-10-08 17:45:45,641][energy_star][INFO] - + Preparing backend for Inference
27
+ [PROC-0][2024-10-08 17:45:45,641][energy_star][INFO] - + Initialising dataloader
28
+ [PROC-0][2024-10-08 17:45:45,642][energy_star][INFO] - + Warming up backend for Inference
29
+ [PROC-0][2024-10-08 17:45:46,296][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
30
+ [PROC-0][2024-10-08 17:45:46,297][energy_star][INFO] - + Iteration 1/10
31
+ [PROC-0][2024-10-08 17:45:50,451][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
32
+ [PROC-0][2024-10-08 17:45:50,452][energy_star][INFO] - + Iteration 2/10
33
+ [PROC-0][2024-10-08 17:45:54,513][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
34
+ [PROC-0][2024-10-08 17:45:54,513][energy_star][INFO] - + Iteration 3/10
35
+ [PROC-0][2024-10-08 17:45:58,591][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
36
+ [PROC-0][2024-10-08 17:45:58,591][energy_star][INFO] - + Iteration 4/10
37
+ [PROC-0][2024-10-08 17:46:02,664][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
38
+ [PROC-0][2024-10-08 17:46:02,665][energy_star][INFO] - + Iteration 5/10
39
+ [PROC-0][2024-10-08 17:46:06,740][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
40
+ [PROC-0][2024-10-08 17:46:06,740][energy_star][INFO] - + Iteration 6/10
41
+ [PROC-0][2024-10-08 17:46:10,818][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
42
+ [PROC-0][2024-10-08 17:46:10,818][energy_star][INFO] - + Iteration 7/10
43
+ [PROC-0][2024-10-08 17:46:14,938][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
44
+ [PROC-0][2024-10-08 17:46:14,938][energy_star][INFO] - + Iteration 8/10
45
+ [PROC-0][2024-10-08 17:46:19,043][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
46
+ [PROC-0][2024-10-08 17:46:19,044][energy_star][INFO] - + Iteration 9/10
47
+ [PROC-0][2024-10-08 17:46:23,134][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
48
+ [PROC-0][2024-10-08 17:46:23,135][energy_star][INFO] - + Iteration 10/10
49
+ [PROC-0][2024-10-08 17:46:27,192][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
50
+ [PROC-0][2024-10-08 17:46:27,193][energy][INFO] - + forward energy consumption:
51
+ [PROC-0][2024-10-08 17:46:27,193][energy][INFO] - + CPU: 0.000043 (kWh)
52
+ [PROC-0][2024-10-08 17:46:27,193][energy][INFO] - + GPU: 0.000165 (kWh)
53
+ [PROC-0][2024-10-08 17:46:27,193][energy][INFO] - + RAM: 0.000000 (kWh)
54
+ [PROC-0][2024-10-08 17:46:27,193][energy][INFO] - + total: 0.000209 (kWh)
55
+ [PROC-0][2024-10-08 17:46:27,193][energy][INFO] - + forward_iteration_1 energy consumption:
56
+ [PROC-0][2024-10-08 17:46:27,194][energy][INFO] - + CPU: 0.000049 (kWh)
57
+ [PROC-0][2024-10-08 17:46:27,194][energy][INFO] - + GPU: 0.000179 (kWh)
58
+ [PROC-0][2024-10-08 17:46:27,194][energy][INFO] - + RAM: 0.000000 (kWh)
59
+ [PROC-0][2024-10-08 17:46:27,194][energy][INFO] - + total: 0.000228 (kWh)
60
+ [PROC-0][2024-10-08 17:46:27,194][energy][INFO] - + forward_iteration_2 energy consumption:
61
+ [PROC-0][2024-10-08 17:46:27,194][energy][INFO] - + CPU: 0.000048 (kWh)
62
+ [PROC-0][2024-10-08 17:46:27,194][energy][INFO] - + GPU: 0.000183 (kWh)
63
+ [PROC-0][2024-10-08 17:46:27,194][energy][INFO] - + RAM: 0.000000 (kWh)
64
+ [PROC-0][2024-10-08 17:46:27,194][energy][INFO] - + total: 0.000231 (kWh)
65
+ [PROC-0][2024-10-08 17:46:27,194][energy][INFO] - + forward_iteration_3 energy consumption:
66
+ [PROC-0][2024-10-08 17:46:27,194][energy][INFO] - + CPU: 0.000048 (kWh)
67
+ [PROC-0][2024-10-08 17:46:27,194][energy][INFO] - + GPU: 0.000183 (kWh)
68
+ [PROC-0][2024-10-08 17:46:27,195][energy][INFO] - + RAM: 0.000000 (kWh)
69
+ [PROC-0][2024-10-08 17:46:27,195][energy][INFO] - + total: 0.000232 (kWh)
70
+ [PROC-0][2024-10-08 17:46:27,195][energy][INFO] - + forward_iteration_4 energy consumption:
71
+ [PROC-0][2024-10-08 17:46:27,195][energy][INFO] - + CPU: 0.000048 (kWh)
72
+ [PROC-0][2024-10-08 17:46:27,195][energy][INFO] - + GPU: 0.000184 (kWh)
73
+ [PROC-0][2024-10-08 17:46:27,195][energy][INFO] - + RAM: 0.000000 (kWh)
74
+ [PROC-0][2024-10-08 17:46:27,195][energy][INFO] - + total: 0.000232 (kWh)
75
+ [PROC-0][2024-10-08 17:46:27,195][energy][INFO] - + forward_iteration_5 energy consumption:
76
+ [PROC-0][2024-10-08 17:46:27,195][energy][INFO] - + CPU: 0.000048 (kWh)
77
+ [PROC-0][2024-10-08 17:46:27,195][energy][INFO] - + GPU: 0.000179 (kWh)
78
+ [PROC-0][2024-10-08 17:46:27,195][energy][INFO] - + RAM: 0.000000 (kWh)
79
+ [PROC-0][2024-10-08 17:46:27,195][energy][INFO] - + total: 0.000228 (kWh)
80
+ [PROC-0][2024-10-08 17:46:27,196][energy][INFO] - + forward_iteration_6 energy consumption:
81
+ [PROC-0][2024-10-08 17:46:27,196][energy][INFO] - + CPU: 0.000048 (kWh)
82
+ [PROC-0][2024-10-08 17:46:27,196][energy][INFO] - + GPU: 0.000186 (kWh)
83
+ [PROC-0][2024-10-08 17:46:27,196][energy][INFO] - + RAM: 0.000000 (kWh)
84
+ [PROC-0][2024-10-08 17:46:27,196][energy][INFO] - + total: 0.000235 (kWh)
85
+ [PROC-0][2024-10-08 17:46:27,196][energy][INFO] - + forward_iteration_7 energy consumption:
86
+ [PROC-0][2024-10-08 17:46:27,196][energy][INFO] - + CPU: 0.000000 (kWh)
87
+ [PROC-0][2024-10-08 17:46:27,196][energy][INFO] - + GPU: 0.000000 (kWh)
88
+ [PROC-0][2024-10-08 17:46:27,196][energy][INFO] - + RAM: 0.000000 (kWh)
89
+ [PROC-0][2024-10-08 17:46:27,196][energy][INFO] - + total: 0.000000 (kWh)
90
+ [PROC-0][2024-10-08 17:46:27,196][energy][INFO] - + forward_iteration_8 energy consumption:
91
+ [PROC-0][2024-10-08 17:46:27,196][energy][INFO] - + CPU: 0.000048 (kWh)
92
+ [PROC-0][2024-10-08 17:46:27,196][energy][INFO] - + GPU: 0.000187 (kWh)
93
+ [PROC-0][2024-10-08 17:46:27,197][energy][INFO] - + RAM: 0.000000 (kWh)
94
+ [PROC-0][2024-10-08 17:46:27,197][energy][INFO] - + total: 0.000236 (kWh)
95
+ [PROC-0][2024-10-08 17:46:27,197][energy][INFO] - + forward_iteration_9 energy consumption:
96
+ [PROC-0][2024-10-08 17:46:27,197][energy][INFO] - + CPU: 0.000048 (kWh)
97
+ [PROC-0][2024-10-08 17:46:27,197][energy][INFO] - + GPU: 0.000183 (kWh)
98
+ [PROC-0][2024-10-08 17:46:27,197][energy][INFO] - + RAM: 0.000000 (kWh)
99
+ [PROC-0][2024-10-08 17:46:27,197][energy][INFO] - + total: 0.000232 (kWh)
100
+ [PROC-0][2024-10-08 17:46:27,197][energy][INFO] - + forward_iteration_10 energy consumption:
101
+ [PROC-0][2024-10-08 17:46:27,197][energy][INFO] - + CPU: 0.000048 (kWh)
102
+ [PROC-0][2024-10-08 17:46:27,197][energy][INFO] - + GPU: 0.000190 (kWh)
103
+ [PROC-0][2024-10-08 17:46:27,197][energy][INFO] - + RAM: 0.000000 (kWh)
104
+ [PROC-0][2024-10-08 17:46:27,197][energy][INFO] - + total: 0.000238 (kWh)
105
+ [PROC-0][2024-10-08 17:46:27,198][energy][INFO] - + preprocess energy consumption:
106
+ [PROC-0][2024-10-08 17:46:27,198][energy][INFO] - + CPU: 0.000005 (kWh)
107
+ [PROC-0][2024-10-08 17:46:27,198][energy][INFO] - + GPU: 0.000007 (kWh)
108
+ [PROC-0][2024-10-08 17:46:27,198][energy][INFO] - + RAM: 0.000000 (kWh)
109
+ [PROC-0][2024-10-08 17:46:27,198][energy][INFO] - + total: 0.000013 (kWh)
110
+ [PROC-0][2024-10-08 17:46:27,198][energy][INFO] - + forward energy efficiency: 4780725.993208 (samples/kWh)
111
+ [PROC-0][2024-10-08 17:46:27,198][energy][INFO] - + preprocess energy efficiency: 79368677.215899 (samples/kWh)
112
+ [2024-10-08 17:46:27,808][device-isolation][INFO] - + Closing device(s) isolation process...
113
+ [2024-10-08 17:46:27,861][datasets][INFO] - PyTorch version 2.4.0 available.
runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-45-32/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
+
4
+
5
+
6
+
7
+
8
+
9
+
10
+ [codecarbon INFO @ 17:45:41] [setup] RAM Tracking...
11
+ [codecarbon INFO @ 17:45:41] [setup] GPU Tracking...
12
+ [codecarbon INFO @ 17:45:41] Tracking Nvidia GPU via pynvml
13
+ [codecarbon DEBUG @ 17:45:41] GPU available. Starting setup
14
+ [codecarbon INFO @ 17:45:41] [setup] CPU Tracking...
15
+ [codecarbon DEBUG @ 17:45:41] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
16
+ [codecarbon DEBUG @ 17:45:41] 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 @ 17:45:41] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
18
+ [codecarbon WARNING @ 17:45:41] No CPU tracking mode found. Falling back on CPU constant mode.
19
+ [codecarbon WARNING @ 17:45:42] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
20
+ [codecarbon INFO @ 17:45:42] CPU Model on constant consumption mode: AMD EPYC 7R32
21
+ [codecarbon INFO @ 17:45:42] >>> Tracker's metadata:
22
+ [codecarbon INFO @ 17:45:42] Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
23
+ [codecarbon INFO @ 17:45:42] Python version: 3.9.20
24
+ [codecarbon INFO @ 17:45:42] CodeCarbon version: 2.5.1
25
+ [codecarbon INFO @ 17:45:42] Available RAM : 186.705 GB
26
+ [codecarbon INFO @ 17:45:42] CPU count: 48
27
+ [codecarbon INFO @ 17:45:42] CPU model: AMD EPYC 7R32
28
+ [codecarbon INFO @ 17:45:42] GPU count: 1
29
+ [codecarbon INFO @ 17:45:42] GPU model: 1 x NVIDIA A10G
30
+ [codecarbon DEBUG @ 17:45:43] Not running on AWS
31
+ [codecarbon DEBUG @ 17:45:44] Not running on Azure
32
+ [codecarbon DEBUG @ 17:45:45] Not running on GCP
33
+ [codecarbon INFO @ 17:45:45] Saving emissions data to file /runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-45-32/codecarbon.csv
34
+ [codecarbon DEBUG @ 17:45:45] EmissionsData(timestamp='2024-10-08T17:45:45', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=0.0022155020851641893, 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 @ 17:45:45] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.27120494842529297 W
38
+ [codecarbon DEBUG @ 17:45:45] RAM : 0.27 W during 0.43 s [measurement time: 0.0005]
39
+ [codecarbon INFO @ 17:45:45] Energy consumed for all GPUs : 0.000007 kWh. Total GPU Power : 63.0373229769635 W
40
+ [codecarbon DEBUG @ 17:45:45] GPU : 63.04 W during 0.43 s [measurement time: 0.0023]
41
+ [codecarbon INFO @ 17:45:45] Energy consumed for all CPUs : 0.000005 kWh. Total CPU Power : 42.5 W
42
+ [codecarbon DEBUG @ 17:45:45] CPU : 42.50 W during 0.43 s [measurement time: 0.0000]
43
+ [codecarbon INFO @ 17:45:45] 0.000013 kWh of electricity used since the beginning.
44
+ [codecarbon DEBUG @ 17:45:45] last_duration=0.42695335403550416
45
+ ------------------------
46
+ [codecarbon DEBUG @ 17:45:45] EmissionsData(timestamp='2024-10-08T17:45:45', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=0.43018033809494227, emissions=4.650882323345498e-06, emissions_rate=1.0811471170304934e-05, cpu_power=42.5, gpu_power=63.0373229769635, ram_power=0.27120494842529297, cpu_energy=5.077258202800295e-06, gpu_energy=7.4900059923166395e-06, ram_energy=3.216463597966938e-08, energy_consumed=1.2599428831096603e-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 @ 17:45:46] EmissionsData(timestamp='2024-10-08T17:45:46', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=0.0023340339539572597, emissions=4.650882323345498e-06, emissions_rate=0.001992636960340751, cpu_power=42.5, gpu_power=63.0373229769635, ram_power=0.27120494842529297, cpu_energy=5.077258202800295e-06, gpu_energy=7.4900059923166395e-06, ram_energy=3.216463597966938e-08, energy_consumed=1.2599428831096603e-05, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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+ [codecarbon WARNING @ 17:45:50] Background scheduler didn't run for a long period (4s), results might be inaccurate
91
+ [codecarbon INFO @ 17:45:50] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.3414988517761231 W
92
+ [codecarbon DEBUG @ 17:45:50] RAM : 0.34 W during 4.15 s [measurement time: 0.0004]
93
+ [codecarbon INFO @ 17:45:50] Energy consumed for all GPUs : 0.000186 kWh. Total GPU Power : 154.8686633842306 W
94
+ [codecarbon DEBUG @ 17:45:50] GPU : 154.87 W during 4.15 s [measurement time: 0.0023]
95
+ [codecarbon INFO @ 17:45:50] Energy consumed for all CPUs : 0.000054 kWh. Total CPU Power : 42.5 W
96
+ [codecarbon DEBUG @ 17:45:50] CPU : 42.50 W during 4.15 s [measurement time: 0.0000]
97
+ [codecarbon INFO @ 17:45:50] 0.000241 kWh of electricity used since the beginning.
98
+ [codecarbon DEBUG @ 17:45:50] last_duration=4.150609537959099
99
+ ------------------------
100
+ [codecarbon DEBUG @ 17:45:50] EmissionsData(timestamp='2024-10-08T17:45:50', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=4.1538833839586005, emissions=8.882282087586446e-05, emissions_rate=2.1383080039964286e-05, cpu_power=42.5, gpu_power=154.8686633842306, ram_power=0.3414988517761231, cpu_energy=5.411494930020935e-05, gpu_energy=0.00018608375997786197, ram_energy=4.2591469600652615e-07, energy_consumed=0.00024062462397407783, 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)
101
+ [codecarbon DEBUG @ 17:45:50] EmissionsData(timestamp='2024-10-08T17:45:50', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=0.002038832986727357, emissions=8.882282087586446e-05, emissions_rate=0.043565520792577944, cpu_power=42.5, gpu_power=154.8686633842306, ram_power=0.3414988517761231, cpu_energy=5.411494930020935e-05, gpu_energy=0.00018608375997786197, ram_energy=4.2591469600652615e-07, energy_consumed=0.00024062462397407783, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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+ [codecarbon WARNING @ 17:45:54] Background scheduler didn't run for a long period (4s), results might be inaccurate
144
+ [codecarbon INFO @ 17:45:54] Energy consumed for RAM : 0.000001 kWh. RAM Power : 0.3415846824645996 W
145
+ [codecarbon DEBUG @ 17:45:54] RAM : 0.34 W during 4.06 s [measurement time: 0.0004]
146
+ [codecarbon INFO @ 17:45:54] Energy consumed for all GPUs : 0.000369 kWh. Total GPU Power : 162.1296319670187 W
147
+ [codecarbon DEBUG @ 17:45:54] GPU : 162.13 W during 4.06 s [measurement time: 0.0023]
148
+ [codecarbon INFO @ 17:45:54] Energy consumed for all CPUs : 0.000102 kWh. Total CPU Power : 42.5 W
149
+ [codecarbon DEBUG @ 17:45:54] CPU : 42.50 W during 4.06 s [measurement time: 0.0000]
150
+ [codecarbon INFO @ 17:45:54] 0.000472 kWh of electricity used since the beginning.
151
+ [codecarbon DEBUG @ 17:45:54] last_duration=4.057614845922217
152
+ ------------------------
153
+ [codecarbon DEBUG @ 17:45:54] EmissionsData(timestamp='2024-10-08T17:45:54', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=4.0608120509423316, emissions=0.00017412862222173414, emissions_rate=4.288024661996527e-05, cpu_power=42.5, gpu_power=162.1296319670187, ram_power=0.3415846824645996, cpu_energy=0.00010205388715468063, gpu_energy=0.0003688566839743501, ram_energy=8.109282791723953e-07, energy_consumed=0.00047172149940820314, 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)
154
+ [codecarbon DEBUG @ 17:45:54] EmissionsData(timestamp='2024-10-08T17:45:54', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=0.00202990195248276, emissions=0.00017412862222173414, emissions_rate=0.08578178961242859, cpu_power=42.5, gpu_power=162.1296319670187, ram_power=0.3415846824645996, cpu_energy=0.00010205388715468063, gpu_energy=0.0003688566839743501, ram_energy=8.109282791723953e-07, energy_consumed=0.00047172149940820314, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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+ [codecarbon WARNING @ 17:45:58] Background scheduler didn't run for a long period (4s), results might be inaccurate
197
+ [codecarbon INFO @ 17:45:58] Energy consumed for RAM : 0.000001 kWh. RAM Power : 0.3415846824645996 W
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+ [codecarbon DEBUG @ 17:45:58] RAM : 0.34 W during 4.07 s [measurement time: 0.0005]
199
+ [codecarbon INFO @ 17:45:58] Energy consumed for all GPUs : 0.000552 kWh. Total GPU Power : 162.0965351696386 W
200
+ [codecarbon DEBUG @ 17:45:58] GPU : 162.10 W during 4.07 s [measurement time: 0.0023]
201
+ [codecarbon INFO @ 17:45:58] Energy consumed for all CPUs : 0.000150 kWh. Total CPU Power : 42.5 W
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+ [codecarbon DEBUG @ 17:45:58] CPU : 42.50 W during 4.08 s [measurement time: 0.0000]
203
+ [codecarbon INFO @ 17:45:58] 0.000704 kWh of electricity used since the beginning.
204
+ [codecarbon DEBUG @ 17:45:58] last_duration=4.073438499006443
205
+ ------------------------
206
+ [codecarbon DEBUG @ 17:45:58] EmissionsData(timestamp='2024-10-08T17:45:58', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=4.076690844958648, emissions=0.0002597547381454295, emissions_rate=6.371705582400235e-05, cpu_power=42.5, gpu_power=162.0965351696386, ram_power=0.3415846824645996, cpu_energy=0.0001501801794589685, gpu_energy=0.0005523084974017323, ram_energy=1.197443163357853e-06, energy_consumed=0.0007036861200240586, 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)
207
+ [codecarbon DEBUG @ 17:45:58] EmissionsData(timestamp='2024-10-08T17:45:58', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=0.0020065020071342587, emissions=0.0002597547381454295, emissions_rate=0.12945650551150872, cpu_power=42.5, gpu_power=162.0965351696386, ram_power=0.3415846824645996, cpu_energy=0.0001501801794589685, gpu_energy=0.0005523084974017323, ram_energy=1.197443163357853e-06, energy_consumed=0.0007036861200240586, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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+ [codecarbon WARNING @ 17:46:02] Background scheduler didn't run for a long period (4s), results might be inaccurate
250
+ [codecarbon INFO @ 17:46:02] Energy consumed for RAM : 0.000002 kWh. RAM Power : 0.34159326553344727 W
251
+ [codecarbon DEBUG @ 17:46:02] RAM : 0.34 W during 4.07 s [measurement time: 0.0004]
252
+ [codecarbon INFO @ 17:46:02] Energy consumed for all GPUs : 0.000736 kWh. Total GPU Power : 162.38451983281504 W
253
+ [codecarbon DEBUG @ 17:46:02] GPU : 162.38 W during 4.07 s [measurement time: 0.0023]
254
+ [codecarbon INFO @ 17:46:02] Energy consumed for all CPUs : 0.000198 kWh. Total CPU Power : 42.5 W
255
+ [codecarbon DEBUG @ 17:46:02] CPU : 42.50 W during 4.07 s [measurement time: 0.0000]
256
+ [codecarbon INFO @ 17:46:02] 0.000936 kWh of electricity used since the beginning.
257
+ [codecarbon DEBUG @ 17:46:02] last_duration=4.069619916961528
258
+ ------------------------
259
+ [codecarbon DEBUG @ 17:46:02] EmissionsData(timestamp='2024-10-08T17:46:02', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=4.072772781946696, emissions=0.00034541895655632715, emissions_rate=8.48117425277097e-05, cpu_power=42.5, gpu_power=162.38451983281504, ram_power=0.34159326553344727, cpu_energy=0.00019826032345671493, gpu_energy=0.0007359100331720825, ram_energy=1.5836051941991465e-06, energy_consumed=0.0009357539618229967, 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)
260
+ [codecarbon DEBUG @ 17:46:02] EmissionsData(timestamp='2024-10-08T17:46:02', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=0.0020212020026519895, emissions=0.00034541895655632715, emissions_rate=0.1708977905736824, cpu_power=42.5, gpu_power=162.38451983281504, ram_power=0.34159326553344727, cpu_energy=0.00019826032345671493, gpu_energy=0.0007359100331720825, ram_energy=1.5836051941991465e-06, energy_consumed=0.0009357539618229967, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
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+ [codecarbon WARNING @ 17:46:06] Background scheduler didn't run for a long period (4s), results might be inaccurate
303
+ [codecarbon INFO @ 17:46:06] Energy consumed for RAM : 0.000002 kWh. RAM Power : 0.34159326553344727 W
304
+ [codecarbon DEBUG @ 17:46:06] RAM : 0.34 W during 4.07 s [measurement time: 0.0004]
305
+ [codecarbon INFO @ 17:46:06] Energy consumed for all GPUs : 0.000915 kWh. Total GPU Power : 158.4929253627087 W
306
+ [codecarbon DEBUG @ 17:46:06] GPU : 158.49 W during 4.07 s [measurement time: 0.0023]
307
+ [codecarbon INFO @ 17:46:06] Energy consumed for all CPUs : 0.000246 kWh. Total CPU Power : 42.5 W
308
+ [codecarbon DEBUG @ 17:46:06] CPU : 42.50 W during 4.07 s [measurement time: 0.0000]
309
+ [codecarbon INFO @ 17:46:06] 0.001164 kWh of electricity used since the beginning.
310
+ [codecarbon DEBUG @ 17:46:06] last_duration=4.071264745900407
311
+ ------------------------
312
+ [codecarbon DEBUG @ 17:46:06] EmissionsData(timestamp='2024-10-08T17:46:06', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=4.074469420942478, emissions=0.0004294932006589813, emissions_rate=0.00010541082930980347, cpu_power=42.5, gpu_power=158.4929253627087, ram_power=0.34159326553344727, cpu_energy=0.0002463605098520121, gpu_energy=0.0009151840654801902, ram_energy=1.9699234070803304e-06, energy_consumed=0.0011635144987392828, 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)
313
+ [codecarbon DEBUG @ 17:46:06] EmissionsData(timestamp='2024-10-08T17:46:06', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=0.002025341964326799, emissions=0.0004294932006589813, emissions_rate=0.21205959695884743, cpu_power=42.5, gpu_power=158.4929253627087, ram_power=0.34159326553344727, cpu_energy=0.0002463605098520121, gpu_energy=0.0009151840654801902, ram_energy=1.9699234070803304e-06, energy_consumed=0.0011635144987392828, 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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  99%|█████████▊| 986/1000 [00:04<00:00, 244.06it/s]
355
+ [codecarbon WARNING @ 17:46:10] Background scheduler didn't run for a long period (4s), results might be inaccurate
356
+ [codecarbon INFO @ 17:46:10] Energy consumed for RAM : 0.000002 kWh. RAM Power : 0.34159326553344727 W
357
+ [codecarbon DEBUG @ 17:46:10] RAM : 0.34 W during 4.07 s [measurement time: 0.0004]
358
+ [codecarbon INFO @ 17:46:10] Energy consumed for all GPUs : 0.001101 kWh. Total GPU Power : 164.46850700102073 W
359
+ [codecarbon DEBUG @ 17:46:10] GPU : 164.47 W during 4.07 s [measurement time: 0.0049]
360
+ [codecarbon INFO @ 17:46:10] Energy consumed for all CPUs : 0.000294 kWh. Total CPU Power : 42.5 W
361
+ [codecarbon DEBUG @ 17:46:10] CPU : 42.50 W during 4.08 s [measurement time: 0.0000]
362
+ [codecarbon INFO @ 17:46:10] 0.001398 kWh of electricity used since the beginning.
363
+ [codecarbon DEBUG @ 17:46:10] last_duration=4.071254245936871
364
+ ------------------------
365
+ [codecarbon DEBUG @ 17:46:10] EmissionsData(timestamp='2024-10-08T17:46:10', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=4.077008908963762, emissions=0.0005160733502761376, emissions_rate=0.00012658136437756912, cpu_power=42.5, gpu_power=164.46850700102073, ram_power=0.34159326553344727, cpu_energy=0.00029449068021050257, gpu_energy=0.0011012167143062968, ram_energy=2.3562408048879724e-06, energy_consumed=0.0013980636353216876, 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)
366
+ [codecarbon DEBUG @ 17:46:10] EmissionsData(timestamp='2024-10-08T17:46:10', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=0.002016001963056624, emissions=0.0005160733502761376, emissions_rate=0.25598851575207643, cpu_power=42.5, gpu_power=164.46850700102073, ram_power=0.34159326553344727, cpu_energy=0.00029449068021050257, gpu_energy=0.0011012167143062968, ram_energy=2.3562408048879724e-06, energy_consumed=0.0013980636353216876, 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)
367
+
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+ [codecarbon WARNING @ 17:46:14] Background scheduler didn't run for a long period (4s), results might be inaccurate
409
+ [codecarbon INFO @ 17:46:14] Energy consumed for RAM : 0.000003 kWh. RAM Power : 0.34159326553344727 W
410
+ [codecarbon DEBUG @ 17:46:14] RAM : 0.34 W during 4.12 s [measurement time: 0.0004]
411
+ [codecarbon INFO @ 17:46:14] Energy consumed for all GPUs : 0.001286 kWh. Total GPU Power : 161.65018274344501 W
412
+ [codecarbon DEBUG @ 17:46:14] GPU : 161.65 W during 4.12 s [measurement time: 0.0023]
413
+ [codecarbon INFO @ 17:46:14] Energy consumed for all CPUs : 0.000343 kWh. Total CPU Power : 42.5 W
414
+ [codecarbon DEBUG @ 17:46:14] CPU : 42.50 W during 4.12 s [measurement time: 0.0000]
415
+ [codecarbon INFO @ 17:46:14] 0.001632 kWh of electricity used since the beginning.
416
+ [codecarbon DEBUG @ 17:46:14] EmissionsData(timestamp='2024-10-08T17:46:14', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=4.119170457939617, emissions=0.0006024042239627047, emissions_rate=0.00014624406300098186, cpu_power=42.5, gpu_power=161.65018274344501, ram_power=0.34159326553344727, cpu_energy=0.000343118803825362, gpu_energy=0.0012860718621903189, ram_energy=2.746807283026676e-06, energy_consumed=0.001631937473298708, 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)
417
+ [codecarbon INFO @ 17:46:14] 0.020969 g.CO2eq/s mean an estimation of 661.2650707401784 kg.CO2eq/year
418
+ [codecarbon DEBUG @ 17:46:14] last_duration=4.11603766400367
419
+ ------------------------
420
+ [codecarbon DEBUG @ 17:46:14] EmissionsData(timestamp='2024-10-08T17:46:14', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=4.119501181994565, emissions=0.0006024042239627047, emissions_rate=0.0001462323221548476, cpu_power=42.5, gpu_power=161.65018274344501, ram_power=0.34159326553344727, cpu_energy=0.000343118803825362, gpu_energy=0.0012860718621903189, ram_energy=2.746807283026676e-06, energy_consumed=0.001631937473298708, 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)
421
+ [codecarbon DEBUG @ 17:46:14] EmissionsData(timestamp='2024-10-08T17:46:14', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=0.002230274025350809, emissions=0.0006024042239627047, emissions_rate=0.2701032326590227, cpu_power=42.5, gpu_power=161.65018274344501, ram_power=0.34159326553344727, cpu_energy=0.000343118803825362, gpu_energy=0.0012860718621903189, ram_energy=2.746807283026676e-06, energy_consumed=0.001631937473298708, 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)
422
+
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+ [codecarbon WARNING @ 17:46:19] Background scheduler didn't run for a long period (4s), results might be inaccurate
464
+ [codecarbon INFO @ 17:46:19] Energy consumed for RAM : 0.000003 kWh. RAM Power : 0.34159326553344727 W
465
+ [codecarbon DEBUG @ 17:46:19] RAM : 0.34 W during 4.10 s [measurement time: 0.0004]
466
+ [codecarbon INFO @ 17:46:19] Energy consumed for all GPUs : 0.001473 kWh. Total GPU Power : 164.48194612894724 W
467
+ [codecarbon DEBUG @ 17:46:19] GPU : 164.48 W during 4.10 s [measurement time: 0.0023]
468
+ [codecarbon INFO @ 17:46:19] Energy consumed for all CPUs : 0.000392 kWh. Total CPU Power : 42.5 W
469
+ [codecarbon DEBUG @ 17:46:19] CPU : 42.50 W during 4.10 s [measurement time: 0.0000]
470
+ [codecarbon INFO @ 17:46:19] 0.001868 kWh of electricity used since the beginning.
471
+ [codecarbon DEBUG @ 17:46:19] last_duration=4.1013617139542475
472
+ ------------------------
473
+ [codecarbon DEBUG @ 17:46:19] EmissionsData(timestamp='2024-10-08T17:46:19', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=4.104507757932879, emissions=0.0006896187634918133, emissions_rate=0.0001680149738196915, cpu_power=42.5, gpu_power=164.48194612894724, ram_power=0.34159326553344727, cpu_energy=0.00039157359306708615, gpu_energy=0.0014734956232391738, ram_energy=3.135981574099118e-06, energy_consumed=0.0018682051978803594, 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)
474
+ [codecarbon DEBUG @ 17:46:19] EmissionsData(timestamp='2024-10-08T17:46:19', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=0.002965922001749277, emissions=0.0006896187634918133, emissions_rate=0.23251412649593672, cpu_power=42.5, gpu_power=164.48194612894724, ram_power=0.34159326553344727, cpu_energy=0.00039157359306708615, gpu_energy=0.0014734956232391738, ram_energy=3.135981574099118e-06, energy_consumed=0.0018682051978803594, 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)
475
+
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+ [codecarbon WARNING @ 17:46:23] Background scheduler didn't run for a long period (4s), results might be inaccurate
517
+ [codecarbon INFO @ 17:46:23] Energy consumed for RAM : 0.000004 kWh. RAM Power : 0.34159326553344727 W
518
+ [codecarbon DEBUG @ 17:46:23] RAM : 0.34 W during 4.09 s [measurement time: 0.0004]
519
+ [codecarbon INFO @ 17:46:23] Energy consumed for all GPUs : 0.001657 kWh. Total GPU Power : 161.41285552614636 W
520
+ [codecarbon DEBUG @ 17:46:23] GPU : 161.41 W during 4.09 s [measurement time: 0.0024]
521
+ [codecarbon INFO @ 17:46:23] Energy consumed for all CPUs : 0.000440 kWh. Total CPU Power : 42.5 W
522
+ [codecarbon DEBUG @ 17:46:23] CPU : 42.50 W during 4.09 s [measurement time: 0.0000]
523
+ [codecarbon INFO @ 17:46:23] 0.002100 kWh of electricity used since the beginning.
524
+ [codecarbon DEBUG @ 17:46:23] last_duration=4.086690132971853
525
+ ------------------------
526
+ [codecarbon DEBUG @ 17:46:23] EmissionsData(timestamp='2024-10-08T17:46:23', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=4.089944328996353, emissions=0.0007752356741626013, emissions_rate=0.00018954675462608053, cpu_power=42.5, gpu_power=161.41285552614636, ram_power=0.34159326553344727, cpu_energy=0.00043985645825127403, gpu_energy=0.0016567646587422047, ram_energy=3.5237640992897767e-06, energy_consumed=0.0021001448810927686, 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)
527
+ [codecarbon DEBUG @ 17:46:23] EmissionsData(timestamp='2024-10-08T17:46:23', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=0.0020155319944024086, emissions=0.0007752356741626013, emissions_rate=0.38463079540072165, cpu_power=42.5, gpu_power=161.41285552614636, ram_power=0.34159326553344727, cpu_energy=0.00043985645825127403, gpu_energy=0.0016567646587422047, ram_energy=3.5237640992897767e-06, energy_consumed=0.0021001448810927686, 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)
528
+
529
  0%| | 0/1000 [00:00<?, ?it/s]
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  91%|█████████▏| 913/1000 [00:03<00:00, 250.84it/s]
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  94%|█████████▍| 939/1000 [00:03<00:00, 250.50it/s]
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  99%|█████████▉| 991/1000 [00:04<00:00, 251.03it/s]
569
+ [codecarbon WARNING @ 17:46:27] Background scheduler didn't run for a long period (4s), results might be inaccurate
570
+ [codecarbon INFO @ 17:46:27] Energy consumed for RAM : 0.000004 kWh. RAM Power : 0.34159326553344727 W
571
+ [codecarbon DEBUG @ 17:46:27] RAM : 0.34 W during 4.05 s [measurement time: 0.0004]
572
+ [codecarbon INFO @ 17:46:27] Energy consumed for all GPUs : 0.001847 kWh. Total GPU Power : 168.65450626250285 W
573
+ [codecarbon DEBUG @ 17:46:27] GPU : 168.65 W during 4.05 s [measurement time: 0.0063]
574
+ [codecarbon INFO @ 17:46:27] Energy consumed for all CPUs : 0.000488 kWh. Total CPU Power : 42.5 W
575
+ [codecarbon DEBUG @ 17:46:27] CPU : 42.50 W during 4.06 s [measurement time: 0.0000]
576
+ [codecarbon INFO @ 17:46:27] 0.002338 kWh of electricity used since the beginning.
577
+ [codecarbon DEBUG @ 17:46:27] last_duration=4.050157862016931
578
+ ------------------------
579
+ [codecarbon DEBUG @ 17:46:27] EmissionsData(timestamp='2024-10-08T17:46:27', project_name='codecarbon', run_id='e4beb2e6-d0dd-4af7-ad88-2c55246d3e18', duration=4.057305961963721, emissions=0.0008631121362391392, emissions_rate=0.0002127303546566639, cpu_power=42.5, gpu_power=168.65450626250285, ram_power=0.34159326553344727, cpu_energy=0.0004877540018254271, gpu_energy=0.0018465436994548057, ram_energy=3.908079419530576e-06, energy_consumed=0.0023382057806997634, country_name='United States', country_iso_code='USA', region='virginia', cloud_provider='', cloud_region='', os='Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35', python_version='3.9.20', codecarbon_version='2.5.1', cpu_count=48, cpu_model='AMD EPYC 7R32', gpu_count=1, gpu_model='1 x NVIDIA A10G', longitude=-77.4903, latitude=39.0469, ram_total_size=186.7047882080078, tracking_mode='process', on_cloud='N', pue=1.0)
runs/text_classification/distilbert/distilbert-base-uncased-finetuned-sst-2-english/2024-10-08-17-45-32/experiment_config.json ADDED
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