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Browse files- automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/.hydra/config.yaml +94 -0
- automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/.hydra/hydra.yaml +175 -0
- automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/.hydra/overrides.yaml +2 -0
- automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/benchmark_report.json +203 -0
- automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/cli.log +191 -0
- automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/error.log +0 -0
- automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/experiment_config.json +107 -0
- automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/generate_codecarbon.json +33 -0
- automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/prefill_codecarbon.json +33 -0
- automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/preprocess_codecarbon.json +33 -0
- automatic_speech_recognition/pyannote/speaker-diarization-3.1/2024-12-04-21-40-43/.hydra/config.yaml +94 -0
- automatic_speech_recognition/pyannote/speaker-diarization-3.1/2024-12-04-21-40-43/.hydra/hydra.yaml +175 -0
- automatic_speech_recognition/pyannote/speaker-diarization-3.1/2024-12-04-21-40-43/.hydra/overrides.yaml +2 -0
- automatic_speech_recognition/pyannote/speaker-diarization-3.1/2024-12-04-21-40-43/cli.log +0 -0
- automatic_speech_recognition/pyannote/speaker-diarization-3.1/2024-12-04-21-40-43/error.log +7 -0
- sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/.hydra/config.yaml +94 -0
- sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/.hydra/hydra.yaml +175 -0
- sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/.hydra/overrides.yaml +2 -0
- sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/benchmark_report.json +107 -0
- sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/cli.log +113 -0
- sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/error.log +170 -0
- sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/experiment_config.json +107 -0
- sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/forward_codecarbon.json +33 -0
- sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/preprocess_codecarbon.json +33 -0
- sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/.hydra/config.yaml +94 -0
- sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/.hydra/hydra.yaml +175 -0
- sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/.hydra/overrides.yaml +2 -0
- sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/benchmark_report.json +107 -0
- sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/cli.log +113 -0
- sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/error.log +178 -0
- sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/experiment_config.json +107 -0
- sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/forward_codecarbon.json +33 -0
- sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/preprocess_codecarbon.json +33 -0
- text_generation/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/2024-12-05-00-36-52/.hydra/config.yaml +96 -0
- text_generation/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/2024-12-05-00-36-52/.hydra/hydra.yaml +175 -0
- text_generation/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/2024-12-05-00-36-52/.hydra/overrides.yaml +2 -0
- text_generation/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/2024-12-05-00-36-52/cli.log +0 -0
- text_generation/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/2024-12-05-00-36-52/error.log +7 -0
automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/.hydra/config.yaml
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backend:
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name: pytorch
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version: 2.4.0
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_target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
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task: automatic-speech-recognition
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model: openai/whisper-small
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processor: openai/whisper-small
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library: null
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device: cuda
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+
device_ids: '0'
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+
seed: 42
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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
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to_bettertransformer: false
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low_cpu_mem_usage: null
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attn_implementation: null
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cache_implementation: null
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torch_compile: false
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torch_compile_config: {}
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quantization_scheme: null
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quantization_config: {}
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deepspeed_inference: false
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deepspeed_inference_config: {}
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peft_type: null
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peft_config: {}
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launcher:
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name: process
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_target_: optimum_benchmark.launchers.process.launcher.ProcessLauncher
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device_isolation: true
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device_isolation_action: warn
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start_method: spawn
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benchmark:
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name: energy_star
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_target_: optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark
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dataset_name: EnergyStarAI/ASR
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dataset_config: ''
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dataset_split: train
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num_samples: 1000
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input_shapes:
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batch_size: 1
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text_column_name: text
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truncation: true
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max_length: -1
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dataset_prefix1: ''
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dataset_prefix2: ''
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t5_task: ''
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image_column_name: image
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resize: false
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question_column_name: question
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context_column_name: context
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sentence1_column_name: sentence1
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sentence2_column_name: sentence2
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audio_column_name: audio
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iterations: 10
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warmup_runs: 10
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energy: true
|
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forward_kwargs: {}
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generate_kwargs: {}
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call_kwargs: {}
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+
experiment_name: automatic_speech_recognition
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environment:
|
69 |
+
cpu: ' AMD EPYC 7R32'
|
70 |
+
cpu_count: 48
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71 |
+
cpu_ram_mb: 200472.73984
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72 |
+
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:
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+
- NVIDIA A10G
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+
gpu_count: 1
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80 |
+
gpu_vram_mb: 24146608128
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81 |
+
optimum_benchmark_version: 0.2.0
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+
optimum_benchmark_commit: null
|
83 |
+
transformers_version: 4.44.0
|
84 |
+
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
|
93 |
+
peft_version: null
|
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+
peft_commit: null
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automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/.hydra/hydra.yaml
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@@ -0,0 +1,175 @@
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hydra:
|
2 |
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run:
|
3 |
+
dir: /runs/automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58
|
4 |
+
sweep:
|
5 |
+
dir: runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
|
6 |
+
subdir: ${hydra.job.num}
|
7 |
+
launcher:
|
8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
9 |
+
sweeper:
|
10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
11 |
+
max_batch_size: null
|
12 |
+
params: null
|
13 |
+
help:
|
14 |
+
app_name: ${hydra.job.name}
|
15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
16 |
+
|
17 |
+
'
|
18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
19 |
+
|
20 |
+
Use --hydra-help to view Hydra specific help
|
21 |
+
|
22 |
+
'
|
23 |
+
template: '${hydra.help.header}
|
24 |
+
|
25 |
+
== Configuration groups ==
|
26 |
+
|
27 |
+
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
|
39 |
+
|
40 |
+
|
41 |
+
${hydra.help.footer}
|
42 |
+
|
43 |
+
'
|
44 |
+
hydra_help:
|
45 |
+
template: 'Hydra (${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
|
70 |
+
formatters:
|
71 |
+
colorlog:
|
72 |
+
(): colorlog.ColoredFormatter
|
73 |
+
format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
|
74 |
+
handlers:
|
75 |
+
console:
|
76 |
+
class: logging.StreamHandler
|
77 |
+
formatter: colorlog
|
78 |
+
stream: ext://sys.stdout
|
79 |
+
root:
|
80 |
+
level: INFO
|
81 |
+
handlers:
|
82 |
+
- console
|
83 |
+
disable_existing_loggers: false
|
84 |
+
job_logging:
|
85 |
+
version: 1
|
86 |
+
formatters:
|
87 |
+
simple:
|
88 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
89 |
+
colorlog:
|
90 |
+
(): colorlog.ColoredFormatter
|
91 |
+
format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
|
92 |
+
- %(message)s'
|
93 |
+
log_colors:
|
94 |
+
DEBUG: purple
|
95 |
+
INFO: green
|
96 |
+
WARNING: yellow
|
97 |
+
ERROR: red
|
98 |
+
CRITICAL: red
|
99 |
+
handlers:
|
100 |
+
console:
|
101 |
+
class: logging.StreamHandler
|
102 |
+
formatter: colorlog
|
103 |
+
stream: ext://sys.stdout
|
104 |
+
file:
|
105 |
+
class: logging.FileHandler
|
106 |
+
formatter: simple
|
107 |
+
filename: ${hydra.job.name}.log
|
108 |
+
root:
|
109 |
+
level: INFO
|
110 |
+
handlers:
|
111 |
+
- console
|
112 |
+
- file
|
113 |
+
disable_existing_loggers: false
|
114 |
+
env: {}
|
115 |
+
mode: RUN
|
116 |
+
searchpath: []
|
117 |
+
callbacks: {}
|
118 |
+
output_subdir: .hydra
|
119 |
+
overrides:
|
120 |
+
hydra:
|
121 |
+
- hydra.run.dir=/runs/automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58
|
122 |
+
- hydra.mode=RUN
|
123 |
+
task:
|
124 |
+
- backend.model=openai/whisper-small
|
125 |
+
- backend.processor=openai/whisper-small
|
126 |
+
job:
|
127 |
+
name: cli
|
128 |
+
chdir: true
|
129 |
+
override_dirname: backend.model=openai/whisper-small,backend.processor=openai/whisper-small
|
130 |
+
id: ???
|
131 |
+
num: ???
|
132 |
+
config_name: automatic_speech_recognition
|
133 |
+
env_set:
|
134 |
+
OVERRIDE_BENCHMARKS: '1'
|
135 |
+
env_copy: []
|
136 |
+
config:
|
137 |
+
override_dirname:
|
138 |
+
kv_sep: '='
|
139 |
+
item_sep: ','
|
140 |
+
exclude_keys: []
|
141 |
+
runtime:
|
142 |
+
version: 1.3.2
|
143 |
+
version_base: '1.3'
|
144 |
+
cwd: /
|
145 |
+
config_sources:
|
146 |
+
- path: hydra.conf
|
147 |
+
schema: pkg
|
148 |
+
provider: hydra
|
149 |
+
- path: optimum_benchmark
|
150 |
+
schema: pkg
|
151 |
+
provider: main
|
152 |
+
- path: hydra_plugins.hydra_colorlog.conf
|
153 |
+
schema: pkg
|
154 |
+
provider: hydra-colorlog
|
155 |
+
- path: /optimum-benchmark/examples/energy_star
|
156 |
+
schema: file
|
157 |
+
provider: command-line
|
158 |
+
- path: ''
|
159 |
+
schema: structured
|
160 |
+
provider: schema
|
161 |
+
output_dir: /runs/automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58
|
162 |
+
choices:
|
163 |
+
benchmark: energy_star
|
164 |
+
launcher: process
|
165 |
+
backend: pytorch
|
166 |
+
hydra/env: default
|
167 |
+
hydra/callbacks: null
|
168 |
+
hydra/job_logging: colorlog
|
169 |
+
hydra/hydra_logging: colorlog
|
170 |
+
hydra/hydra_help: default
|
171 |
+
hydra/help: default
|
172 |
+
hydra/sweeper: basic
|
173 |
+
hydra/launcher: basic
|
174 |
+
hydra/output: default
|
175 |
+
verbose: false
|
automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/.hydra/overrides.yaml
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
- backend.model=openai/whisper-small
|
2 |
+
- backend.processor=openai/whisper-small
|
automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/benchmark_report.json
ADDED
@@ -0,0 +1,203 @@
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|
automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/cli.log
ADDED
@@ -0,0 +1,191 @@
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|
1 |
+
[2024-12-04 21:42:01,673][launcher][INFO] - ََAllocating process launcher
|
2 |
+
[2024-12-04 21:42:01,673][process][INFO] - + Setting multiprocessing start method to spawn.
|
3 |
+
[2024-12-04 21:42:01,684][device-isolation][INFO] - + Launched device(s) isolation process 491
|
4 |
+
[2024-12-04 21:42:01,685][device-isolation][INFO] - + Isolating device(s) [0]
|
5 |
+
[2024-12-04 21:42:01,690][process][INFO] - + Launched benchmark in isolated process 492.
|
6 |
+
[PROC-0][2024-12-04 21:42:04,460][datasets][INFO] - PyTorch version 2.4.0 available.
|
7 |
+
[PROC-0][2024-12-04 21:42:05,370][backend][INFO] - َAllocating pytorch backend
|
8 |
+
[PROC-0][2024-12-04 21:42:05,370][backend][INFO] - + Setting random seed to 42
|
9 |
+
[PROC-0][2024-12-04 21:42:06,829][pytorch][INFO] - + Using AutoModel class AutoModelForSpeechSeq2Seq
|
10 |
+
[PROC-0][2024-12-04 21:42:06,830][pytorch][INFO] - + Creating backend temporary directory
|
11 |
+
[PROC-0][2024-12-04 21:42:06,830][pytorch][INFO] - + Loading model with random weights
|
12 |
+
[PROC-0][2024-12-04 21:42:06,830][pytorch][INFO] - + Creating no weights model
|
13 |
+
[PROC-0][2024-12-04 21:42:06,830][pytorch][INFO] - + Creating no weights model directory
|
14 |
+
[PROC-0][2024-12-04 21:42:06,830][pytorch][INFO] - + Creating no weights model state dict
|
15 |
+
[PROC-0][2024-12-04 21:42:06,832][pytorch][INFO] - + Saving no weights model safetensors
|
16 |
+
[PROC-0][2024-12-04 21:42:06,833][pytorch][INFO] - + Saving no weights model pretrained config
|
17 |
+
[PROC-0][2024-12-04 21:42:06,834][pytorch][INFO] - + Loading no weights AutoModel
|
18 |
+
[PROC-0][2024-12-04 21:42:06,834][pytorch][INFO] - + Loading model directly on device: cuda
|
19 |
+
[PROC-0][2024-12-04 21:42:07,049][pytorch][INFO] - + Turning on model's eval mode
|
20 |
+
[PROC-0][2024-12-04 21:42:07,056][benchmark][INFO] - Allocating energy_star benchmark
|
21 |
+
[PROC-0][2024-12-04 21:42:07,056][energy_star][INFO] - + Loading raw dataset
|
22 |
+
[PROC-0][2024-12-04 21:42:12,960][energy_star][INFO] - + Updating Text Generation kwargs with default values
|
23 |
+
[PROC-0][2024-12-04 21:42:12,960][energy_star][INFO] - + Initializing Text Generation report
|
24 |
+
[PROC-0][2024-12-04 21:42:12,961][energy][INFO] - + Tracking GPU energy on devices [0]
|
25 |
+
[PROC-0][2024-12-04 21:42:17,167][energy_star][INFO] - + Preprocessing dataset
|
26 |
+
[PROC-0][2024-12-04 21:42:32,399][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
|
27 |
+
[PROC-0][2024-12-04 21:42:32,399][energy_star][INFO] - + Preparing backend for Inference
|
28 |
+
[PROC-0][2024-12-04 21:42:32,400][energy_star][INFO] - + Initialising dataloader
|
29 |
+
[PROC-0][2024-12-04 21:42:32,400][energy_star][INFO] - + Warming up backend for Inference
|
30 |
+
[PROC-0][2024-12-04 21:42:33,923][energy_star][INFO] - + Additional warmup for Text Generation
|
31 |
+
[PROC-0][2024-12-04 21:42:34,768][energy_star][INFO] - + Running Text Generation energy tracking for 10 iterations
|
32 |
+
[PROC-0][2024-12-04 21:42:34,768][energy_star][INFO] - + Prefill iteration 1/10
|
33 |
+
[PROC-0][2024-12-04 21:44:14,704][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
34 |
+
[PROC-0][2024-12-04 21:44:14,704][energy_star][INFO] - + Prefill iteration 2/10
|
35 |
+
[PROC-0][2024-12-04 21:45:54,695][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
36 |
+
[PROC-0][2024-12-04 21:45:54,695][energy_star][INFO] - + Prefill iteration 3/10
|
37 |
+
[PROC-0][2024-12-04 21:47:34,694][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
38 |
+
[PROC-0][2024-12-04 21:47:34,694][energy_star][INFO] - + Prefill iteration 4/10
|
39 |
+
[PROC-0][2024-12-04 21:49:14,695][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
40 |
+
[PROC-0][2024-12-04 21:49:14,695][energy_star][INFO] - + Prefill iteration 5/10
|
41 |
+
[PROC-0][2024-12-04 21:50:54,698][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
42 |
+
[PROC-0][2024-12-04 21:50:54,698][energy_star][INFO] - + Prefill iteration 6/10
|
43 |
+
[PROC-0][2024-12-04 21:52:34,697][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
44 |
+
[PROC-0][2024-12-04 21:52:34,697][energy_star][INFO] - + Prefill iteration 7/10
|
45 |
+
[PROC-0][2024-12-04 21:54:14,695][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
46 |
+
[PROC-0][2024-12-04 21:54:14,696][energy_star][INFO] - + Prefill iteration 8/10
|
47 |
+
[PROC-0][2024-12-04 21:55:54,694][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
48 |
+
[PROC-0][2024-12-04 21:55:54,694][energy_star][INFO] - + Prefill iteration 9/10
|
49 |
+
[PROC-0][2024-12-04 21:57:34,694][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
50 |
+
[PROC-0][2024-12-04 21:57:34,695][energy_star][INFO] - + Prefill iteration 10/10
|
51 |
+
[PROC-0][2024-12-04 21:59:14,798][energy][INFO] - + Saving codecarbon emission data to prefill_codecarbon.json
|
52 |
+
[PROC-0][2024-12-04 21:59:14,799][energy_star][INFO] - + Decoding iteration 1/10
|
53 |
+
[PROC-0][2024-12-04 22:15:06,041][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
54 |
+
[PROC-0][2024-12-04 22:15:06,041][energy_star][INFO] - + Decoding iteration 2/10
|
55 |
+
[PROC-0][2024-12-04 22:30:51,624][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
56 |
+
[PROC-0][2024-12-04 22:30:51,624][energy_star][INFO] - + Decoding iteration 3/10
|
57 |
+
[PROC-0][2024-12-04 22:46:36,438][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
58 |
+
[PROC-0][2024-12-04 22:46:36,439][energy_star][INFO] - + Decoding iteration 4/10
|
59 |
+
[PROC-0][2024-12-04 23:02:21,205][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
60 |
+
[PROC-0][2024-12-04 23:02:21,206][energy_star][INFO] - + Decoding iteration 5/10
|
61 |
+
[PROC-0][2024-12-04 23:18:07,862][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
62 |
+
[PROC-0][2024-12-04 23:18:07,862][energy_star][INFO] - + Decoding iteration 6/10
|
63 |
+
[PROC-0][2024-12-04 23:33:50,000][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
64 |
+
[PROC-0][2024-12-04 23:33:50,000][energy_star][INFO] - + Decoding iteration 7/10
|
65 |
+
[PROC-0][2024-12-04 23:49:34,542][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
66 |
+
[PROC-0][2024-12-04 23:49:34,542][energy_star][INFO] - + Decoding iteration 8/10
|
67 |
+
[PROC-0][2024-12-05 00:05:20,569][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
68 |
+
[PROC-0][2024-12-05 00:05:20,569][energy_star][INFO] - + Decoding iteration 9/10
|
69 |
+
[PROC-0][2024-12-05 00:21:06,577][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
70 |
+
[PROC-0][2024-12-05 00:21:06,577][energy_star][INFO] - + Decoding iteration 10/10
|
71 |
+
[PROC-0][2024-12-05 00:36:50,431][energy][INFO] - + Saving codecarbon emission data to generate_codecarbon.json
|
72 |
+
[PROC-0][2024-12-05 00:36:50,432][energy][INFO] - + prefill energy consumption:
|
73 |
+
[PROC-0][2024-12-05 00:36:50,432][energy][INFO] - + CPU: 0.001063 (kWh)
|
74 |
+
[PROC-0][2024-12-05 00:36:50,432][energy][INFO] - + GPU: 0.004004 (kWh)
|
75 |
+
[PROC-0][2024-12-05 00:36:50,432][energy][INFO] - + RAM: 0.000048 (kWh)
|
76 |
+
[PROC-0][2024-12-05 00:36:50,432][energy][INFO] - + total: 0.005114 (kWh)
|
77 |
+
[PROC-0][2024-12-05 00:36:50,432][energy][INFO] - + prefill_iteration_1 energy consumption:
|
78 |
+
[PROC-0][2024-12-05 00:36:50,433][energy][INFO] - + CPU: 0.001180 (kWh)
|
79 |
+
[PROC-0][2024-12-05 00:36:50,433][energy][INFO] - + GPU: 0.004326 (kWh)
|
80 |
+
[PROC-0][2024-12-05 00:36:50,433][energy][INFO] - + RAM: 0.000053 (kWh)
|
81 |
+
[PROC-0][2024-12-05 00:36:50,433][energy][INFO] - + total: 0.005559 (kWh)
|
82 |
+
[PROC-0][2024-12-05 00:36:50,433][energy][INFO] - + prefill_iteration_2 energy consumption:
|
83 |
+
[PROC-0][2024-12-05 00:36:50,433][energy][INFO] - + CPU: 0.001180 (kWh)
|
84 |
+
[PROC-0][2024-12-05 00:36:50,433][energy][INFO] - + GPU: 0.004583 (kWh)
|
85 |
+
[PROC-0][2024-12-05 00:36:50,433][energy][INFO] - + RAM: 0.000053 (kWh)
|
86 |
+
[PROC-0][2024-12-05 00:36:50,433][energy][INFO] - + total: 0.005816 (kWh)
|
87 |
+
[PROC-0][2024-12-05 00:36:50,433][energy][INFO] - + prefill_iteration_3 energy consumption:
|
88 |
+
[PROC-0][2024-12-05 00:36:50,433][energy][INFO] - + CPU: 0.001181 (kWh)
|
89 |
+
[PROC-0][2024-12-05 00:36:50,433][energy][INFO] - + GPU: 0.004499 (kWh)
|
90 |
+
[PROC-0][2024-12-05 00:36:50,434][energy][INFO] - + RAM: 0.000053 (kWh)
|
91 |
+
[PROC-0][2024-12-05 00:36:50,434][energy][INFO] - + total: 0.005733 (kWh)
|
92 |
+
[PROC-0][2024-12-05 00:36:50,434][energy][INFO] - + prefill_iteration_4 energy consumption:
|
93 |
+
[PROC-0][2024-12-05 00:36:50,434][energy][INFO] - + CPU: 0.001181 (kWh)
|
94 |
+
[PROC-0][2024-12-05 00:36:50,434][energy][INFO] - + GPU: 0.004336 (kWh)
|
95 |
+
[PROC-0][2024-12-05 00:36:50,434][energy][INFO] - + RAM: 0.000053 (kWh)
|
96 |
+
[PROC-0][2024-12-05 00:36:50,434][energy][INFO] - + total: 0.005569 (kWh)
|
97 |
+
[PROC-0][2024-12-05 00:36:50,434][energy][INFO] - + prefill_iteration_5 energy consumption:
|
98 |
+
[PROC-0][2024-12-05 00:36:50,434][energy][INFO] - + CPU: 0.001181 (kWh)
|
99 |
+
[PROC-0][2024-12-05 00:36:50,434][energy][INFO] - + GPU: 0.004438 (kWh)
|
100 |
+
[PROC-0][2024-12-05 00:36:50,434][energy][INFO] - + RAM: 0.000053 (kWh)
|
101 |
+
[PROC-0][2024-12-05 00:36:50,435][energy][INFO] - + total: 0.005672 (kWh)
|
102 |
+
[PROC-0][2024-12-05 00:36:50,435][energy][INFO] - + prefill_iteration_6 energy consumption:
|
103 |
+
[PROC-0][2024-12-05 00:36:50,435][energy][INFO] - + CPU: 0.001181 (kWh)
|
104 |
+
[PROC-0][2024-12-05 00:36:50,435][energy][INFO] - + GPU: 0.004447 (kWh)
|
105 |
+
[PROC-0][2024-12-05 00:36:50,435][energy][INFO] - + RAM: 0.000053 (kWh)
|
106 |
+
[PROC-0][2024-12-05 00:36:50,435][energy][INFO] - + total: 0.005681 (kWh)
|
107 |
+
[PROC-0][2024-12-05 00:36:50,435][energy][INFO] - + prefill_iteration_7 energy consumption:
|
108 |
+
[PROC-0][2024-12-05 00:36:50,435][energy][INFO] - + CPU: 0.000000 (kWh)
|
109 |
+
[PROC-0][2024-12-05 00:36:50,435][energy][INFO] - + GPU: 0.000000 (kWh)
|
110 |
+
[PROC-0][2024-12-05 00:36:50,435][energy][INFO] - + RAM: 0.000000 (kWh)
|
111 |
+
[PROC-0][2024-12-05 00:36:50,435][energy][INFO] - + total: 0.000000 (kWh)
|
112 |
+
[PROC-0][2024-12-05 00:36:50,435][energy][INFO] - + prefill_iteration_8 energy consumption:
|
113 |
+
[PROC-0][2024-12-05 00:36:50,436][energy][INFO] - + CPU: 0.001181 (kWh)
|
114 |
+
[PROC-0][2024-12-05 00:36:50,436][energy][INFO] - + GPU: 0.004500 (kWh)
|
115 |
+
[PROC-0][2024-12-05 00:36:50,436][energy][INFO] - + RAM: 0.000053 (kWh)
|
116 |
+
[PROC-0][2024-12-05 00:36:50,436][energy][INFO] - + total: 0.005734 (kWh)
|
117 |
+
[PROC-0][2024-12-05 00:36:50,436][energy][INFO] - + prefill_iteration_9 energy consumption:
|
118 |
+
[PROC-0][2024-12-05 00:36:50,436][energy][INFO] - + CPU: 0.001181 (kWh)
|
119 |
+
[PROC-0][2024-12-05 00:36:50,436][energy][INFO] - + GPU: 0.004578 (kWh)
|
120 |
+
[PROC-0][2024-12-05 00:36:50,436][energy][INFO] - + RAM: 0.000053 (kWh)
|
121 |
+
[PROC-0][2024-12-05 00:36:50,436][energy][INFO] - + total: 0.005811 (kWh)
|
122 |
+
[PROC-0][2024-12-05 00:36:50,436][energy][INFO] - + prefill_iteration_10 energy consumption:
|
123 |
+
[PROC-0][2024-12-05 00:36:50,436][energy][INFO] - + CPU: 0.001182 (kWh)
|
124 |
+
[PROC-0][2024-12-05 00:36:50,436][energy][INFO] - + GPU: 0.004334 (kWh)
|
125 |
+
[PROC-0][2024-12-05 00:36:50,437][energy][INFO] - + RAM: 0.000053 (kWh)
|
126 |
+
[PROC-0][2024-12-05 00:36:50,437][energy][INFO] - + total: 0.005569 (kWh)
|
127 |
+
[PROC-0][2024-12-05 00:36:50,437][energy][INFO] - + decode energy consumption:
|
128 |
+
[PROC-0][2024-12-05 00:36:50,437][energy][INFO] - + CPU: 0.008983 (kWh)
|
129 |
+
[PROC-0][2024-12-05 00:36:50,437][energy][INFO] - + GPU: 0.020038 (kWh)
|
130 |
+
[PROC-0][2024-12-05 00:36:50,437][energy][INFO] - + RAM: 0.000403 (kWh)
|
131 |
+
[PROC-0][2024-12-05 00:36:50,437][energy][INFO] - + total: 0.029424 (kWh)
|
132 |
+
[PROC-0][2024-12-05 00:36:50,437][energy][INFO] - + decode_iteration_1 energy consumption:
|
133 |
+
[PROC-0][2024-12-05 00:36:50,437][energy][INFO] - + CPU: 0.010050 (kWh)
|
134 |
+
[PROC-0][2024-12-05 00:36:50,437][energy][INFO] - + GPU: 0.022509 (kWh)
|
135 |
+
[PROC-0][2024-12-05 00:36:50,437][energy][INFO] - + RAM: 0.000451 (kWh)
|
136 |
+
[PROC-0][2024-12-05 00:36:50,437][energy][INFO] - + total: 0.033010 (kWh)
|
137 |
+
[PROC-0][2024-12-05 00:36:50,438][energy][INFO] - + decode_iteration_2 energy consumption:
|
138 |
+
[PROC-0][2024-12-05 00:36:50,438][energy][INFO] - + CPU: 0.009983 (kWh)
|
139 |
+
[PROC-0][2024-12-05 00:36:50,438][energy][INFO] - + GPU: 0.022075 (kWh)
|
140 |
+
[PROC-0][2024-12-05 00:36:50,438][energy][INFO] - + RAM: 0.000448 (kWh)
|
141 |
+
[PROC-0][2024-12-05 00:36:50,438][energy][INFO] - + total: 0.032506 (kWh)
|
142 |
+
[PROC-0][2024-12-05 00:36:50,438][energy][INFO] - + decode_iteration_3 energy consumption:
|
143 |
+
[PROC-0][2024-12-05 00:36:50,438][energy][INFO] - + CPU: 0.009974 (kWh)
|
144 |
+
[PROC-0][2024-12-05 00:36:50,438][energy][INFO] - + GPU: 0.022207 (kWh)
|
145 |
+
[PROC-0][2024-12-05 00:36:50,438][energy][INFO] - + RAM: 0.000447 (kWh)
|
146 |
+
[PROC-0][2024-12-05 00:36:50,438][energy][INFO] - + total: 0.032627 (kWh)
|
147 |
+
[PROC-0][2024-12-05 00:36:50,438][energy][INFO] - + decode_iteration_4 energy consumption:
|
148 |
+
[PROC-0][2024-12-05 00:36:50,438][energy][INFO] - + CPU: 0.009973 (kWh)
|
149 |
+
[PROC-0][2024-12-05 00:36:50,439][energy][INFO] - + GPU: 0.022316 (kWh)
|
150 |
+
[PROC-0][2024-12-05 00:36:50,439][energy][INFO] - + RAM: 0.000447 (kWh)
|
151 |
+
[PROC-0][2024-12-05 00:36:50,439][energy][INFO] - + total: 0.032737 (kWh)
|
152 |
+
[PROC-0][2024-12-05 00:36:50,439][energy][INFO] - + decode_iteration_5 energy consumption:
|
153 |
+
[PROC-0][2024-12-05 00:36:50,439][energy][INFO] - + CPU: -0.001181 (kWh)
|
154 |
+
[PROC-0][2024-12-05 00:36:50,439][energy][INFO] - + GPU: -0.004438 (kWh)
|
155 |
+
[PROC-0][2024-12-05 00:36:50,439][energy][INFO] - + RAM: -0.000053 (kWh)
|
156 |
+
[PROC-0][2024-12-05 00:36:50,439][energy][INFO] - + total: -0.005672 (kWh)
|
157 |
+
[PROC-0][2024-12-05 00:36:50,439][energy][INFO] - + decode_iteration_6 energy consumption:
|
158 |
+
[PROC-0][2024-12-05 00:36:50,439][energy][INFO] - + CPU: 0.009942 (kWh)
|
159 |
+
[PROC-0][2024-12-05 00:36:50,439][energy][INFO] - + GPU: 0.022229 (kWh)
|
160 |
+
[PROC-0][2024-12-05 00:36:50,439][energy][INFO] - + RAM: 0.000446 (kWh)
|
161 |
+
[PROC-0][2024-12-05 00:36:50,440][energy][INFO] - + total: 0.032617 (kWh)
|
162 |
+
[PROC-0][2024-12-05 00:36:50,440][energy][INFO] - + decode_iteration_7 energy consumption:
|
163 |
+
[PROC-0][2024-12-05 00:36:50,440][energy][INFO] - + CPU: 0.011151 (kWh)
|
164 |
+
[PROC-0][2024-12-05 00:36:50,440][energy][INFO] - + GPU: 0.026727 (kWh)
|
165 |
+
[PROC-0][2024-12-05 00:36:50,440][energy][INFO] - + RAM: 0.000500 (kWh)
|
166 |
+
[PROC-0][2024-12-05 00:36:50,440][energy][INFO] - + total: 0.038378 (kWh)
|
167 |
+
[PROC-0][2024-12-05 00:36:50,440][energy][INFO] - + decode_iteration_8 energy consumption:
|
168 |
+
[PROC-0][2024-12-05 00:36:50,440][energy][INFO] - + CPU: 0.009988 (kWh)
|
169 |
+
[PROC-0][2024-12-05 00:36:50,440][energy][INFO] - + GPU: 0.022179 (kWh)
|
170 |
+
[PROC-0][2024-12-05 00:36:50,440][energy][INFO] - + RAM: 0.000448 (kWh)
|
171 |
+
[PROC-0][2024-12-05 00:36:50,440][energy][INFO] - + total: 0.032615 (kWh)
|
172 |
+
[PROC-0][2024-12-05 00:36:50,440][energy][INFO] - + decode_iteration_9 energy consumption:
|
173 |
+
[PROC-0][2024-12-05 00:36:50,441][energy][INFO] - + CPU: 0.009988 (kWh)
|
174 |
+
[PROC-0][2024-12-05 00:36:50,441][energy][INFO] - + GPU: 0.022162 (kWh)
|
175 |
+
[PROC-0][2024-12-05 00:36:50,441][energy][INFO] - + RAM: 0.000448 (kWh)
|
176 |
+
[PROC-0][2024-12-05 00:36:50,441][energy][INFO] - + total: 0.032597 (kWh)
|
177 |
+
[PROC-0][2024-12-05 00:36:50,441][energy][INFO] - + decode_iteration_10 energy consumption:
|
178 |
+
[PROC-0][2024-12-05 00:36:50,441][energy][INFO] - + CPU: 0.009961 (kWh)
|
179 |
+
[PROC-0][2024-12-05 00:36:50,441][energy][INFO] - + GPU: 0.022418 (kWh)
|
180 |
+
[PROC-0][2024-12-05 00:36:50,441][energy][INFO] - + RAM: 0.000447 (kWh)
|
181 |
+
[PROC-0][2024-12-05 00:36:50,441][energy][INFO] - + total: 0.032825 (kWh)
|
182 |
+
[PROC-0][2024-12-05 00:36:50,441][energy][INFO] - + preprocess energy consumption:
|
183 |
+
[PROC-0][2024-12-05 00:36:50,441][energy][INFO] - + CPU: 0.000180 (kWh)
|
184 |
+
[PROC-0][2024-12-05 00:36:50,441][energy][INFO] - + GPU: 0.000276 (kWh)
|
185 |
+
[PROC-0][2024-12-05 00:36:50,442][energy][INFO] - + RAM: 0.000009 (kWh)
|
186 |
+
[PROC-0][2024-12-05 00:36:50,442][energy][INFO] - + total: 0.000465 (kWh)
|
187 |
+
[PROC-0][2024-12-05 00:36:50,442][energy][INFO] - + prefill energy efficiency: 195526.556644 (tokens/kWh)
|
188 |
+
[PROC-0][2024-12-05 00:36:50,442][energy][INFO] - + decode energy efficiency: 3364586.284552 (tokens/kWh)
|
189 |
+
[PROC-0][2024-12-05 00:36:50,442][energy][INFO] - + preprocess energy efficiency: 2150692.219800 (samples/kWh)
|
190 |
+
[2024-12-05 00:36:51,389][device-isolation][INFO] - + Closing device(s) isolation process...
|
191 |
+
[2024-12-05 00:36:51,437][datasets][INFO] - PyTorch version 2.4.0 available.
|
automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/error.log
ADDED
The diff for this file is too large to render.
See raw diff
|
|
automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/experiment_config.json
ADDED
@@ -0,0 +1,107 @@
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automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/generate_codecarbon.json
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automatic_speech_recognition/openai/whisper-small/2024-12-04-21-41-58/prefill_codecarbon.json
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automatic_speech_recognition/pyannote/speaker-diarization-3.1/2024-12-04-21-40-43/.hydra/config.yaml
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optimum_commit: null
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91 |
+
timm_version: null
|
92 |
+
timm_commit: null
|
93 |
+
peft_version: null
|
94 |
+
peft_commit: null
|
automatic_speech_recognition/pyannote/speaker-diarization-3.1/2024-12-04-21-40-43/.hydra/hydra.yaml
ADDED
@@ -0,0 +1,175 @@
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|
1 |
+
hydra:
|
2 |
+
run:
|
3 |
+
dir: /runs/automatic_speech_recognition/pyannote/speaker-diarization-3.1/2024-12-04-21-40-43
|
4 |
+
sweep:
|
5 |
+
dir: runs/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
|
6 |
+
subdir: ${hydra.job.num}
|
7 |
+
launcher:
|
8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
9 |
+
sweeper:
|
10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
11 |
+
max_batch_size: null
|
12 |
+
params: null
|
13 |
+
help:
|
14 |
+
app_name: ${hydra.job.name}
|
15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
16 |
+
|
17 |
+
'
|
18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
19 |
+
|
20 |
+
Use --hydra-help to view Hydra specific help
|
21 |
+
|
22 |
+
'
|
23 |
+
template: '${hydra.help.header}
|
24 |
+
|
25 |
+
== Configuration groups ==
|
26 |
+
|
27 |
+
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
|
39 |
+
|
40 |
+
|
41 |
+
${hydra.help.footer}
|
42 |
+
|
43 |
+
'
|
44 |
+
hydra_help:
|
45 |
+
template: 'Hydra (${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
|
70 |
+
formatters:
|
71 |
+
colorlog:
|
72 |
+
(): colorlog.ColoredFormatter
|
73 |
+
format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
|
74 |
+
handlers:
|
75 |
+
console:
|
76 |
+
class: logging.StreamHandler
|
77 |
+
formatter: colorlog
|
78 |
+
stream: ext://sys.stdout
|
79 |
+
root:
|
80 |
+
level: INFO
|
81 |
+
handlers:
|
82 |
+
- console
|
83 |
+
disable_existing_loggers: false
|
84 |
+
job_logging:
|
85 |
+
version: 1
|
86 |
+
formatters:
|
87 |
+
simple:
|
88 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
89 |
+
colorlog:
|
90 |
+
(): colorlog.ColoredFormatter
|
91 |
+
format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
|
92 |
+
- %(message)s'
|
93 |
+
log_colors:
|
94 |
+
DEBUG: purple
|
95 |
+
INFO: green
|
96 |
+
WARNING: yellow
|
97 |
+
ERROR: red
|
98 |
+
CRITICAL: red
|
99 |
+
handlers:
|
100 |
+
console:
|
101 |
+
class: logging.StreamHandler
|
102 |
+
formatter: colorlog
|
103 |
+
stream: ext://sys.stdout
|
104 |
+
file:
|
105 |
+
class: logging.FileHandler
|
106 |
+
formatter: simple
|
107 |
+
filename: ${hydra.job.name}.log
|
108 |
+
root:
|
109 |
+
level: INFO
|
110 |
+
handlers:
|
111 |
+
- console
|
112 |
+
- file
|
113 |
+
disable_existing_loggers: false
|
114 |
+
env: {}
|
115 |
+
mode: RUN
|
116 |
+
searchpath: []
|
117 |
+
callbacks: {}
|
118 |
+
output_subdir: .hydra
|
119 |
+
overrides:
|
120 |
+
hydra:
|
121 |
+
- hydra.run.dir=/runs/automatic_speech_recognition/pyannote/speaker-diarization-3.1/2024-12-04-21-40-43
|
122 |
+
- hydra.mode=RUN
|
123 |
+
task:
|
124 |
+
- backend.model=pyannote/speaker-diarization-3.1
|
125 |
+
- backend.processor=pyannote/speaker-diarization-3.1
|
126 |
+
job:
|
127 |
+
name: cli
|
128 |
+
chdir: true
|
129 |
+
override_dirname: backend.model=pyannote/speaker-diarization-3.1,backend.processor=pyannote/speaker-diarization-3.1
|
130 |
+
id: ???
|
131 |
+
num: ???
|
132 |
+
config_name: automatic_speech_recognition
|
133 |
+
env_set:
|
134 |
+
OVERRIDE_BENCHMARKS: '1'
|
135 |
+
env_copy: []
|
136 |
+
config:
|
137 |
+
override_dirname:
|
138 |
+
kv_sep: '='
|
139 |
+
item_sep: ','
|
140 |
+
exclude_keys: []
|
141 |
+
runtime:
|
142 |
+
version: 1.3.2
|
143 |
+
version_base: '1.3'
|
144 |
+
cwd: /
|
145 |
+
config_sources:
|
146 |
+
- path: hydra.conf
|
147 |
+
schema: pkg
|
148 |
+
provider: hydra
|
149 |
+
- path: optimum_benchmark
|
150 |
+
schema: pkg
|
151 |
+
provider: main
|
152 |
+
- path: hydra_plugins.hydra_colorlog.conf
|
153 |
+
schema: pkg
|
154 |
+
provider: hydra-colorlog
|
155 |
+
- path: /optimum-benchmark/examples/energy_star
|
156 |
+
schema: file
|
157 |
+
provider: command-line
|
158 |
+
- path: ''
|
159 |
+
schema: structured
|
160 |
+
provider: schema
|
161 |
+
output_dir: /runs/automatic_speech_recognition/pyannote/speaker-diarization-3.1/2024-12-04-21-40-43
|
162 |
+
choices:
|
163 |
+
benchmark: energy_star
|
164 |
+
launcher: process
|
165 |
+
backend: pytorch
|
166 |
+
hydra/env: default
|
167 |
+
hydra/callbacks: null
|
168 |
+
hydra/job_logging: colorlog
|
169 |
+
hydra/hydra_logging: colorlog
|
170 |
+
hydra/hydra_help: default
|
171 |
+
hydra/help: default
|
172 |
+
hydra/sweeper: basic
|
173 |
+
hydra/launcher: basic
|
174 |
+
hydra/output: default
|
175 |
+
verbose: false
|
automatic_speech_recognition/pyannote/speaker-diarization-3.1/2024-12-04-21-40-43/.hydra/overrides.yaml
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
- backend.model=pyannote/speaker-diarization-3.1
|
2 |
+
- backend.processor=pyannote/speaker-diarization-3.1
|
automatic_speech_recognition/pyannote/speaker-diarization-3.1/2024-12-04-21-40-43/cli.log
ADDED
File without changes
|
automatic_speech_recognition/pyannote/speaker-diarization-3.1/2024-12-04-21-40-43/error.log
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
Error executing job with overrides: ['backend.model=pyannote/speaker-diarization-3.1', 'backend.processor=pyannote/speaker-diarization-3.1']
|
2 |
+
Traceback (most recent call last):
|
3 |
+
File "/optimum-benchmark/optimum_benchmark/cli.py", line 62, in benchmark_cli
|
4 |
+
experiment_config: ExperimentConfig = OmegaConf.to_object(experiment_config)
|
5 |
+
ValueError: `library` must be either `transformers`, `diffusers` or `timm`, but got pyannote-audio
|
6 |
+
|
7 |
+
Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
|
sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/.hydra/config.yaml
ADDED
@@ -0,0 +1,94 @@
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|
1 |
+
backend:
|
2 |
+
name: pytorch
|
3 |
+
version: 2.4.0
|
4 |
+
_target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
|
5 |
+
task: sentence-similarity
|
6 |
+
model: sentence-transformers/all-MiniLM-L12-v2
|
7 |
+
processor: sentence-transformers/all-MiniLM-L12-v2
|
8 |
+
library: transformers
|
9 |
+
device: cuda
|
10 |
+
device_ids: '0'
|
11 |
+
seed: 42
|
12 |
+
inter_op_num_threads: null
|
13 |
+
intra_op_num_threads: null
|
14 |
+
hub_kwargs: {}
|
15 |
+
no_weights: true
|
16 |
+
device_map: null
|
17 |
+
torch_dtype: null
|
18 |
+
amp_autocast: false
|
19 |
+
amp_dtype: null
|
20 |
+
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/sentence_similarity
|
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: sentence_similarity_udever-bloom-7b1
|
68 |
+
environment:
|
69 |
+
cpu: ' AMD EPYC 7R32'
|
70 |
+
cpu_count: 48
|
71 |
+
cpu_ram_mb: 200472.73984
|
72 |
+
system: Linux
|
73 |
+
machine: x86_64
|
74 |
+
platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
|
75 |
+
processor: x86_64
|
76 |
+
python_version: 3.9.20
|
77 |
+
gpu:
|
78 |
+
- NVIDIA A10G
|
79 |
+
gpu_count: 1
|
80 |
+
gpu_vram_mb: 24146608128
|
81 |
+
optimum_benchmark_version: 0.2.0
|
82 |
+
optimum_benchmark_commit: null
|
83 |
+
transformers_version: 4.44.0
|
84 |
+
transformers_commit: null
|
85 |
+
accelerate_version: 0.33.0
|
86 |
+
accelerate_commit: null
|
87 |
+
diffusers_version: 0.30.0
|
88 |
+
diffusers_commit: null
|
89 |
+
optimum_version: null
|
90 |
+
optimum_commit: null
|
91 |
+
timm_version: null
|
92 |
+
timm_commit: null
|
93 |
+
peft_version: null
|
94 |
+
peft_commit: null
|
sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/.hydra/hydra.yaml
ADDED
@@ -0,0 +1,175 @@
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
hydra:
|
2 |
+
run:
|
3 |
+
dir: /runs/sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55
|
4 |
+
sweep:
|
5 |
+
dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
|
6 |
+
subdir: ${hydra.job.num}
|
7 |
+
launcher:
|
8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
9 |
+
sweeper:
|
10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
11 |
+
max_batch_size: null
|
12 |
+
params: null
|
13 |
+
help:
|
14 |
+
app_name: ${hydra.job.name}
|
15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
16 |
+
|
17 |
+
'
|
18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
19 |
+
|
20 |
+
Use --hydra-help to view Hydra specific help
|
21 |
+
|
22 |
+
'
|
23 |
+
template: '${hydra.help.header}
|
24 |
+
|
25 |
+
== Configuration groups ==
|
26 |
+
|
27 |
+
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
|
39 |
+
|
40 |
+
|
41 |
+
${hydra.help.footer}
|
42 |
+
|
43 |
+
'
|
44 |
+
hydra_help:
|
45 |
+
template: 'Hydra (${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
|
70 |
+
formatters:
|
71 |
+
colorlog:
|
72 |
+
(): colorlog.ColoredFormatter
|
73 |
+
format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
|
74 |
+
handlers:
|
75 |
+
console:
|
76 |
+
class: logging.StreamHandler
|
77 |
+
formatter: colorlog
|
78 |
+
stream: ext://sys.stdout
|
79 |
+
root:
|
80 |
+
level: INFO
|
81 |
+
handlers:
|
82 |
+
- console
|
83 |
+
disable_existing_loggers: false
|
84 |
+
job_logging:
|
85 |
+
version: 1
|
86 |
+
formatters:
|
87 |
+
simple:
|
88 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
89 |
+
colorlog:
|
90 |
+
(): colorlog.ColoredFormatter
|
91 |
+
format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
|
92 |
+
- %(message)s'
|
93 |
+
log_colors:
|
94 |
+
DEBUG: purple
|
95 |
+
INFO: green
|
96 |
+
WARNING: yellow
|
97 |
+
ERROR: red
|
98 |
+
CRITICAL: red
|
99 |
+
handlers:
|
100 |
+
console:
|
101 |
+
class: logging.StreamHandler
|
102 |
+
formatter: colorlog
|
103 |
+
stream: ext://sys.stdout
|
104 |
+
file:
|
105 |
+
class: logging.FileHandler
|
106 |
+
formatter: simple
|
107 |
+
filename: ${hydra.job.name}.log
|
108 |
+
root:
|
109 |
+
level: INFO
|
110 |
+
handlers:
|
111 |
+
- console
|
112 |
+
- file
|
113 |
+
disable_existing_loggers: false
|
114 |
+
env: {}
|
115 |
+
mode: RUN
|
116 |
+
searchpath: []
|
117 |
+
callbacks: {}
|
118 |
+
output_subdir: .hydra
|
119 |
+
overrides:
|
120 |
+
hydra:
|
121 |
+
- hydra.run.dir=/runs/sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55
|
122 |
+
- hydra.mode=RUN
|
123 |
+
task:
|
124 |
+
- backend.model=sentence-transformers/all-MiniLM-L12-v2
|
125 |
+
- backend.processor=sentence-transformers/all-MiniLM-L12-v2
|
126 |
+
job:
|
127 |
+
name: cli
|
128 |
+
chdir: true
|
129 |
+
override_dirname: backend.model=sentence-transformers/all-MiniLM-L12-v2,backend.processor=sentence-transformers/all-MiniLM-L12-v2
|
130 |
+
id: ???
|
131 |
+
num: ???
|
132 |
+
config_name: sentence_similarity
|
133 |
+
env_set:
|
134 |
+
OVERRIDE_BENCHMARKS: '1'
|
135 |
+
env_copy: []
|
136 |
+
config:
|
137 |
+
override_dirname:
|
138 |
+
kv_sep: '='
|
139 |
+
item_sep: ','
|
140 |
+
exclude_keys: []
|
141 |
+
runtime:
|
142 |
+
version: 1.3.2
|
143 |
+
version_base: '1.3'
|
144 |
+
cwd: /
|
145 |
+
config_sources:
|
146 |
+
- path: hydra.conf
|
147 |
+
schema: pkg
|
148 |
+
provider: hydra
|
149 |
+
- path: optimum_benchmark
|
150 |
+
schema: pkg
|
151 |
+
provider: main
|
152 |
+
- path: hydra_plugins.hydra_colorlog.conf
|
153 |
+
schema: pkg
|
154 |
+
provider: hydra-colorlog
|
155 |
+
- path: /optimum-benchmark/examples/energy_star
|
156 |
+
schema: file
|
157 |
+
provider: command-line
|
158 |
+
- path: ''
|
159 |
+
schema: structured
|
160 |
+
provider: schema
|
161 |
+
output_dir: /runs/sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55
|
162 |
+
choices:
|
163 |
+
benchmark: energy_star
|
164 |
+
launcher: process
|
165 |
+
backend: pytorch
|
166 |
+
hydra/env: default
|
167 |
+
hydra/callbacks: null
|
168 |
+
hydra/job_logging: colorlog
|
169 |
+
hydra/hydra_logging: colorlog
|
170 |
+
hydra/hydra_help: default
|
171 |
+
hydra/help: default
|
172 |
+
hydra/sweeper: basic
|
173 |
+
hydra/launcher: basic
|
174 |
+
hydra/output: default
|
175 |
+
verbose: false
|
sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/.hydra/overrides.yaml
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
- backend.model=sentence-transformers/all-MiniLM-L12-v2
|
2 |
+
- backend.processor=sentence-transformers/all-MiniLM-L12-v2
|
sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/benchmark_report.json
ADDED
@@ -0,0 +1,107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"forward": {
|
3 |
+
"memory": null,
|
4 |
+
"latency": null,
|
5 |
+
"throughput": null,
|
6 |
+
"energy": {
|
7 |
+
"unit": "kWh",
|
8 |
+
"cpu": 5.834651541804407e-05,
|
9 |
+
"ram": 4.690545039945406e-07,
|
10 |
+
"gpu": 0.00011053269953702483,
|
11 |
+
"total": 0.00016934826945906345
|
12 |
+
},
|
13 |
+
"efficiency": {
|
14 |
+
"unit": "samples/kWh",
|
15 |
+
"value": 5904990.958539024
|
16 |
+
},
|
17 |
+
"measures": [
|
18 |
+
{
|
19 |
+
"unit": "kWh",
|
20 |
+
"cpu": 6.642858386852216e-05,
|
21 |
+
"ram": 5.339025680179651e-07,
|
22 |
+
"gpu": 0.00012639760111721188,
|
23 |
+
"total": 0.00019336008755375201
|
24 |
+
},
|
25 |
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{
|
26 |
+
"unit": "kWh",
|
27 |
+
"cpu": 6.448224086990295e-05,
|
28 |
+
"ram": 5.183489446487988e-07,
|
29 |
+
"gpu": 0.00012057565201661902,
|
30 |
+
"total": 0.0001855762418311708
|
31 |
+
},
|
32 |
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{
|
33 |
+
"unit": "kWh",
|
34 |
+
"cpu": 6.420218333065957e-05,
|
35 |
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"ram": 5.162153570657138e-07,
|
36 |
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"gpu": 0.00012280454268775998,
|
37 |
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"total": 0.00018752294137548524
|
38 |
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},
|
39 |
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{
|
40 |
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"unit": "kWh",
|
41 |
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"cpu": 6.34669421490091e-05,
|
42 |
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"ram": 5.099481002263594e-07,
|
43 |
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"gpu": 0.00011886037286590323,
|
44 |
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"total": 0.00018283726311513866
|
45 |
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},
|
46 |
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{
|
47 |
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"unit": "kWh",
|
48 |
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"cpu": 6.327727858022425e-05,
|
49 |
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"ram": 5.087816248549878e-07,
|
50 |
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"gpu": 0.000121267319236118,
|
51 |
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"total": 0.00018505337944119723
|
52 |
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},
|
53 |
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{
|
54 |
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"unit": "kWh",
|
55 |
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"cpu": 6.360978441318567e-05,
|
56 |
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"ram": 5.114048105494929e-07,
|
57 |
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"gpu": 0.00012099759679795596,
|
58 |
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"total": 0.00018511878602169105
|
59 |
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},
|
60 |
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{
|
61 |
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"unit": "kWh",
|
62 |
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"cpu": 0.0,
|
63 |
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"ram": 0.0,
|
64 |
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"gpu": 0.0,
|
65 |
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"total": 0.0
|
66 |
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},
|
67 |
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{
|
68 |
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"unit": "kWh",
|
69 |
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"cpu": 6.471016283309536e-05,
|
70 |
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"ram": 5.203108890100263e-07,
|
71 |
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"gpu": 0.00012313120961593427,
|
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"total": 0.00018836168333803954
|
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},
|
74 |
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{
|
75 |
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"unit": "kWh",
|
76 |
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"cpu": 6.607289697660435e-05,
|
77 |
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"ram": 5.312737488909054e-07,
|
78 |
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"gpu": 0.00012466898862317777,
|
79 |
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"total": 0.0001912731593486732
|
80 |
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},
|
81 |
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{
|
82 |
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"unit": "kWh",
|
83 |
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"cpu": 6.721508115923723e-05,
|
84 |
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"ram": 5.403589966811575e-07,
|
85 |
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"gpu": 0.00012662371240956816,
|
86 |
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"total": 0.00019437915256548667
|
87 |
+
}
|
88 |
+
]
|
89 |
+
},
|
90 |
+
"preprocess": {
|
91 |
+
"memory": null,
|
92 |
+
"latency": null,
|
93 |
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"throughput": null,
|
94 |
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"energy": {
|
95 |
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"unit": "kWh",
|
96 |
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"cpu": 1.9452090272049344e-06,
|
97 |
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"ram": 1.193016676754692e-08,
|
98 |
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"gpu": 3.657225147613019e-06,
|
99 |
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"total": 5.614364341585501e-06
|
100 |
+
},
|
101 |
+
"efficiency": {
|
102 |
+
"unit": "samples/kWh",
|
103 |
+
"value": 178114553.87620947
|
104 |
+
},
|
105 |
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"measures": null
|
106 |
+
}
|
107 |
+
}
|
sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/cli.log
ADDED
@@ -0,0 +1,113 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
[2024-12-05 00:36:58,469][launcher][INFO] - ََAllocating process launcher
|
2 |
+
[2024-12-05 00:36:58,469][process][INFO] - + Setting multiprocessing start method to spawn.
|
3 |
+
[2024-12-05 00:36:58,482][device-isolation][INFO] - + Launched device(s) isolation process 822
|
4 |
+
[2024-12-05 00:36:58,482][device-isolation][INFO] - + Isolating device(s) [0]
|
5 |
+
[2024-12-05 00:36:58,488][process][INFO] - + Launched benchmark in isolated process 823.
|
6 |
+
[PROC-0][2024-12-05 00:37:01,111][datasets][INFO] - PyTorch version 2.4.0 available.
|
7 |
+
[PROC-0][2024-12-05 00:37:02,059][backend][INFO] - َAllocating pytorch backend
|
8 |
+
[PROC-0][2024-12-05 00:37:02,059][backend][INFO] - + Setting random seed to 42
|
9 |
+
[PROC-0][2024-12-05 00:37:02,694][pytorch][INFO] - + Using AutoModel class AutoModel
|
10 |
+
[PROC-0][2024-12-05 00:37:02,694][pytorch][INFO] - + Creating backend temporary directory
|
11 |
+
[PROC-0][2024-12-05 00:37:02,694][pytorch][INFO] - + Loading model with random weights
|
12 |
+
[PROC-0][2024-12-05 00:37:02,694][pytorch][INFO] - + Creating no weights model
|
13 |
+
[PROC-0][2024-12-05 00:37:02,694][pytorch][INFO] - + Creating no weights model directory
|
14 |
+
[PROC-0][2024-12-05 00:37:02,694][pytorch][INFO] - + Creating no weights model state dict
|
15 |
+
[PROC-0][2024-12-05 00:37:02,696][pytorch][INFO] - + Saving no weights model safetensors
|
16 |
+
[PROC-0][2024-12-05 00:37:02,697][pytorch][INFO] - + Saving no weights model pretrained config
|
17 |
+
[PROC-0][2024-12-05 00:37:02,698][pytorch][INFO] - + Loading no weights AutoModel
|
18 |
+
[PROC-0][2024-12-05 00:37:02,698][pytorch][INFO] - + Loading model directly on device: cuda
|
19 |
+
[PROC-0][2024-12-05 00:37:02,999][pytorch][INFO] - + Turning on model's eval mode
|
20 |
+
[PROC-0][2024-12-05 00:37:03,005][benchmark][INFO] - Allocating energy_star benchmark
|
21 |
+
[PROC-0][2024-12-05 00:37:03,005][energy_star][INFO] - + Loading raw dataset
|
22 |
+
[PROC-0][2024-12-05 00:37:04,014][energy_star][INFO] - + Initializing Inference report
|
23 |
+
[PROC-0][2024-12-05 00:37:04,015][energy][INFO] - + Tracking GPU energy on devices [0]
|
24 |
+
[PROC-0][2024-12-05 00:37:08,201][energy_star][INFO] - + Preprocessing dataset
|
25 |
+
[PROC-0][2024-12-05 00:37:08,367][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
|
26 |
+
[PROC-0][2024-12-05 00:37:08,367][energy_star][INFO] - + Preparing backend for Inference
|
27 |
+
[PROC-0][2024-12-05 00:37:08,368][energy_star][INFO] - + Initialising dataloader
|
28 |
+
[PROC-0][2024-12-05 00:37:08,368][energy_star][INFO] - + Warming up backend for Inference
|
29 |
+
[PROC-0][2024-12-05 00:37:09,127][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
|
30 |
+
[PROC-0][2024-12-05 00:37:09,127][energy_star][INFO] - + Iteration 1/10
|
31 |
+
[PROC-0][2024-12-05 00:37:14,755][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
32 |
+
[PROC-0][2024-12-05 00:37:14,755][energy_star][INFO] - + Iteration 2/10
|
33 |
+
[PROC-0][2024-12-05 00:37:20,218][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
34 |
+
[PROC-0][2024-12-05 00:37:20,219][energy_star][INFO] - + Iteration 3/10
|
35 |
+
[PROC-0][2024-12-05 00:37:25,658][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
36 |
+
[PROC-0][2024-12-05 00:37:25,658][energy_star][INFO] - + Iteration 4/10
|
37 |
+
[PROC-0][2024-12-05 00:37:31,035][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
38 |
+
[PROC-0][2024-12-05 00:37:31,035][energy_star][INFO] - + Iteration 5/10
|
39 |
+
[PROC-0][2024-12-05 00:37:36,396][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
40 |
+
[PROC-0][2024-12-05 00:37:36,396][energy_star][INFO] - + Iteration 6/10
|
41 |
+
[PROC-0][2024-12-05 00:37:41,785][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
42 |
+
[PROC-0][2024-12-05 00:37:41,785][energy_star][INFO] - + Iteration 7/10
|
43 |
+
[PROC-0][2024-12-05 00:37:47,170][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
44 |
+
[PROC-0][2024-12-05 00:37:47,170][energy_star][INFO] - + Iteration 8/10
|
45 |
+
[PROC-0][2024-12-05 00:37:52,652][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
46 |
+
[PROC-0][2024-12-05 00:37:52,652][energy_star][INFO] - + Iteration 9/10
|
47 |
+
[PROC-0][2024-12-05 00:37:58,250][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
48 |
+
[PROC-0][2024-12-05 00:37:58,250][energy_star][INFO] - + Iteration 10/10
|
49 |
+
[PROC-0][2024-12-05 00:38:03,944][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
50 |
+
[PROC-0][2024-12-05 00:38:03,945][energy][INFO] - + forward energy consumption:
|
51 |
+
[PROC-0][2024-12-05 00:38:03,945][energy][INFO] - + CPU: 0.000058 (kWh)
|
52 |
+
[PROC-0][2024-12-05 00:38:03,945][energy][INFO] - + GPU: 0.000111 (kWh)
|
53 |
+
[PROC-0][2024-12-05 00:38:03,945][energy][INFO] - + RAM: 0.000000 (kWh)
|
54 |
+
[PROC-0][2024-12-05 00:38:03,945][energy][INFO] - + total: 0.000169 (kWh)
|
55 |
+
[PROC-0][2024-12-05 00:38:03,945][energy][INFO] - + forward_iteration_1 energy consumption:
|
56 |
+
[PROC-0][2024-12-05 00:38:03,945][energy][INFO] - + CPU: 0.000066 (kWh)
|
57 |
+
[PROC-0][2024-12-05 00:38:03,946][energy][INFO] - + GPU: 0.000126 (kWh)
|
58 |
+
[PROC-0][2024-12-05 00:38:03,946][energy][INFO] - + RAM: 0.000001 (kWh)
|
59 |
+
[PROC-0][2024-12-05 00:38:03,946][energy][INFO] - + total: 0.000193 (kWh)
|
60 |
+
[PROC-0][2024-12-05 00:38:03,946][energy][INFO] - + forward_iteration_2 energy consumption:
|
61 |
+
[PROC-0][2024-12-05 00:38:03,946][energy][INFO] - + CPU: 0.000064 (kWh)
|
62 |
+
[PROC-0][2024-12-05 00:38:03,946][energy][INFO] - + GPU: 0.000121 (kWh)
|
63 |
+
[PROC-0][2024-12-05 00:38:03,946][energy][INFO] - + RAM: 0.000001 (kWh)
|
64 |
+
[PROC-0][2024-12-05 00:38:03,946][energy][INFO] - + total: 0.000186 (kWh)
|
65 |
+
[PROC-0][2024-12-05 00:38:03,946][energy][INFO] - + forward_iteration_3 energy consumption:
|
66 |
+
[PROC-0][2024-12-05 00:38:03,946][energy][INFO] - + CPU: 0.000064 (kWh)
|
67 |
+
[PROC-0][2024-12-05 00:38:03,946][energy][INFO] - + GPU: 0.000123 (kWh)
|
68 |
+
[PROC-0][2024-12-05 00:38:03,946][energy][INFO] - + RAM: 0.000001 (kWh)
|
69 |
+
[PROC-0][2024-12-05 00:38:03,947][energy][INFO] - + total: 0.000188 (kWh)
|
70 |
+
[PROC-0][2024-12-05 00:38:03,947][energy][INFO] - + forward_iteration_4 energy consumption:
|
71 |
+
[PROC-0][2024-12-05 00:38:03,947][energy][INFO] - + CPU: 0.000063 (kWh)
|
72 |
+
[PROC-0][2024-12-05 00:38:03,947][energy][INFO] - + GPU: 0.000119 (kWh)
|
73 |
+
[PROC-0][2024-12-05 00:38:03,947][energy][INFO] - + RAM: 0.000001 (kWh)
|
74 |
+
[PROC-0][2024-12-05 00:38:03,947][energy][INFO] - + total: 0.000183 (kWh)
|
75 |
+
[PROC-0][2024-12-05 00:38:03,947][energy][INFO] - + forward_iteration_5 energy consumption:
|
76 |
+
[PROC-0][2024-12-05 00:38:03,947][energy][INFO] - + CPU: 0.000063 (kWh)
|
77 |
+
[PROC-0][2024-12-05 00:38:03,947][energy][INFO] - + GPU: 0.000121 (kWh)
|
78 |
+
[PROC-0][2024-12-05 00:38:03,947][energy][INFO] - + RAM: 0.000001 (kWh)
|
79 |
+
[PROC-0][2024-12-05 00:38:03,947][energy][INFO] - + total: 0.000185 (kWh)
|
80 |
+
[PROC-0][2024-12-05 00:38:03,947][energy][INFO] - + forward_iteration_6 energy consumption:
|
81 |
+
[PROC-0][2024-12-05 00:38:03,947][energy][INFO] - + CPU: 0.000064 (kWh)
|
82 |
+
[PROC-0][2024-12-05 00:38:03,948][energy][INFO] - + GPU: 0.000121 (kWh)
|
83 |
+
[PROC-0][2024-12-05 00:38:03,948][energy][INFO] - + RAM: 0.000001 (kWh)
|
84 |
+
[PROC-0][2024-12-05 00:38:03,948][energy][INFO] - + total: 0.000185 (kWh)
|
85 |
+
[PROC-0][2024-12-05 00:38:03,948][energy][INFO] - + forward_iteration_7 energy consumption:
|
86 |
+
[PROC-0][2024-12-05 00:38:03,948][energy][INFO] - + CPU: 0.000000 (kWh)
|
87 |
+
[PROC-0][2024-12-05 00:38:03,948][energy][INFO] - + GPU: 0.000000 (kWh)
|
88 |
+
[PROC-0][2024-12-05 00:38:03,948][energy][INFO] - + RAM: 0.000000 (kWh)
|
89 |
+
[PROC-0][2024-12-05 00:38:03,948][energy][INFO] - + total: 0.000000 (kWh)
|
90 |
+
[PROC-0][2024-12-05 00:38:03,948][energy][INFO] - + forward_iteration_8 energy consumption:
|
91 |
+
[PROC-0][2024-12-05 00:38:03,948][energy][INFO] - + CPU: 0.000065 (kWh)
|
92 |
+
[PROC-0][2024-12-05 00:38:03,948][energy][INFO] - + GPU: 0.000123 (kWh)
|
93 |
+
[PROC-0][2024-12-05 00:38:03,948][energy][INFO] - + RAM: 0.000001 (kWh)
|
94 |
+
[PROC-0][2024-12-05 00:38:03,949][energy][INFO] - + total: 0.000188 (kWh)
|
95 |
+
[PROC-0][2024-12-05 00:38:03,949][energy][INFO] - + forward_iteration_9 energy consumption:
|
96 |
+
[PROC-0][2024-12-05 00:38:03,949][energy][INFO] - + CPU: 0.000066 (kWh)
|
97 |
+
[PROC-0][2024-12-05 00:38:03,949][energy][INFO] - + GPU: 0.000125 (kWh)
|
98 |
+
[PROC-0][2024-12-05 00:38:03,949][energy][INFO] - + RAM: 0.000001 (kWh)
|
99 |
+
[PROC-0][2024-12-05 00:38:03,949][energy][INFO] - + total: 0.000191 (kWh)
|
100 |
+
[PROC-0][2024-12-05 00:38:03,949][energy][INFO] - + forward_iteration_10 energy consumption:
|
101 |
+
[PROC-0][2024-12-05 00:38:03,949][energy][INFO] - + CPU: 0.000067 (kWh)
|
102 |
+
[PROC-0][2024-12-05 00:38:03,949][energy][INFO] - + GPU: 0.000127 (kWh)
|
103 |
+
[PROC-0][2024-12-05 00:38:03,949][energy][INFO] - + RAM: 0.000001 (kWh)
|
104 |
+
[PROC-0][2024-12-05 00:38:03,949][energy][INFO] - + total: 0.000194 (kWh)
|
105 |
+
[PROC-0][2024-12-05 00:38:03,949][energy][INFO] - + preprocess energy consumption:
|
106 |
+
[PROC-0][2024-12-05 00:38:03,949][energy][INFO] - + CPU: 0.000002 (kWh)
|
107 |
+
[PROC-0][2024-12-05 00:38:03,950][energy][INFO] - + GPU: 0.000004 (kWh)
|
108 |
+
[PROC-0][2024-12-05 00:38:03,950][energy][INFO] - + RAM: 0.000000 (kWh)
|
109 |
+
[PROC-0][2024-12-05 00:38:03,950][energy][INFO] - + total: 0.000006 (kWh)
|
110 |
+
[PROC-0][2024-12-05 00:38:03,950][energy][INFO] - + forward energy efficiency: 5904990.958539 (samples/kWh)
|
111 |
+
[PROC-0][2024-12-05 00:38:03,950][energy][INFO] - + preprocess energy efficiency: 178114553.876209 (samples/kWh)
|
112 |
+
[2024-12-05 00:38:04,604][device-isolation][INFO] - + Closing device(s) isolation process...
|
113 |
+
[2024-12-05 00:38:04,652][datasets][INFO] - PyTorch version 2.4.0 available.
|
sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/error.log
ADDED
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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 |
+
[codecarbon INFO @ 00:37:04] [setup] RAM Tracking...
|
4 |
+
[codecarbon INFO @ 00:37:04] [setup] GPU Tracking...
|
5 |
+
[codecarbon INFO @ 00:37:04] Tracking Nvidia GPU via pynvml
|
6 |
+
[codecarbon DEBUG @ 00:37:04] GPU available. Starting setup
|
7 |
+
[codecarbon INFO @ 00:37:04] [setup] CPU Tracking...
|
8 |
+
[codecarbon DEBUG @ 00:37:04] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
|
9 |
+
[codecarbon DEBUG @ 00:37:04] Not using the RAPL interface, an exception occurred while instantiating IntelRAPL : Intel RAPL files not found at /sys/class/powercap/intel-rapl on linux
|
10 |
+
[codecarbon DEBUG @ 00:37:04] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
|
11 |
+
[codecarbon WARNING @ 00:37:04] No CPU tracking mode found. Falling back on CPU constant mode.
|
12 |
+
[codecarbon WARNING @ 00:37:05] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
|
13 |
+
[codecarbon INFO @ 00:37:05] CPU Model on constant consumption mode: AMD EPYC 7R32
|
14 |
+
[codecarbon INFO @ 00:37:05] >>> Tracker's metadata:
|
15 |
+
[codecarbon INFO @ 00:37:05] Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
|
16 |
+
[codecarbon INFO @ 00:37:05] Python version: 3.9.20
|
17 |
+
[codecarbon INFO @ 00:37:05] CodeCarbon version: 2.5.1
|
18 |
+
[codecarbon INFO @ 00:37:05] Available RAM : 186.705 GB
|
19 |
+
[codecarbon INFO @ 00:37:05] CPU count: 48
|
20 |
+
[codecarbon INFO @ 00:37:05] CPU model: AMD EPYC 7R32
|
21 |
+
[codecarbon INFO @ 00:37:05] GPU count: 1
|
22 |
+
[codecarbon INFO @ 00:37:05] GPU model: 1 x NVIDIA A10G
|
23 |
+
[codecarbon DEBUG @ 00:37:06] Not running on AWS
|
24 |
+
[codecarbon DEBUG @ 00:37:07] Not running on Azure
|
25 |
+
[codecarbon DEBUG @ 00:37:08] Not running on GCP
|
26 |
+
[codecarbon INFO @ 00:37:08] Saving emissions data to file /runs/sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/codecarbon.csv
|
27 |
+
[codecarbon DEBUG @ 00:37:08] EmissionsData(timestamp='2024-12-05T00:37:08', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=0.0022454530117101967, 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)
|
28 |
+
|
29 |
+
[codecarbon INFO @ 00:37:08] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.26567602157592773 W
|
30 |
+
[codecarbon DEBUG @ 00:37:08] RAM : 0.27 W during 0.16 s [measurement time: 0.0005]
|
31 |
+
[codecarbon INFO @ 00:37:08] Energy consumed for all GPUs : 0.000004 kWh. Total GPU Power : 81.04958906810351 W
|
32 |
+
[codecarbon DEBUG @ 00:37:08] GPU : 81.05 W during 0.16 s [measurement time: 0.0023]
|
33 |
+
[codecarbon INFO @ 00:37:08] Energy consumed for all CPUs : 0.000002 kWh. Total CPU Power : 42.5 W
|
34 |
+
[codecarbon DEBUG @ 00:37:08] CPU : 42.50 W during 0.16 s [measurement time: 0.0000]
|
35 |
+
[codecarbon INFO @ 00:37:08] 0.000006 kWh of electricity used since the beginning.
|
36 |
+
[codecarbon DEBUG @ 00:37:08] last_duration=0.16165502701187506
|
37 |
+
------------------------
|
38 |
+
[codecarbon DEBUG @ 00:37:08] EmissionsData(timestamp='2024-12-05T00:37:08', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=0.16491737304022536, emissions=2.072454888483118e-06, emissions_rate=1.2566625639723359e-05, cpu_power=42.5, gpu_power=81.04958906810351, ram_power=0.26567602157592773, cpu_energy=1.9452090272049344e-06, gpu_energy=3.657225147613019e-06, ram_energy=1.193016676754692e-08, energy_consumed=5.614364341585501e-06, 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)
|
39 |
+
[codecarbon DEBUG @ 00:37:09] EmissionsData(timestamp='2024-12-05T00:37:09', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=0.003446593997068703, emissions=2.072454888483118e-06, emissions_rate=0.0006013051987689069, cpu_power=42.5, gpu_power=81.04958906810351, ram_power=0.26567602157592773, cpu_energy=1.9452090272049344e-06, gpu_energy=3.657225147613019e-06, ram_energy=1.193016676754692e-08, energy_consumed=5.614364341585501e-06, 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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+
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|
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|
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+
[codecarbon WARNING @ 00:37:14] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
97 |
+
[codecarbon INFO @ 00:37:14] Energy consumed for RAM : 0.000001 kWh. RAM Power : 0.34178638458251953 W
|
98 |
+
[codecarbon DEBUG @ 00:37:14] RAM : 0.34 W during 5.62 s [measurement time: 0.0005]
|
99 |
+
[codecarbon INFO @ 00:37:14] Energy consumed for all GPUs : 0.000130 kWh. Total GPU Power : 80.90480266562896 W
|
100 |
+
[codecarbon DEBUG @ 00:37:14] GPU : 80.90 W during 5.62 s [measurement time: 0.0026]
|
101 |
+
[codecarbon INFO @ 00:37:14] Energy consumed for all CPUs : 0.000068 kWh. Total CPU Power : 42.5 W
|
102 |
+
[codecarbon DEBUG @ 00:37:14] CPU : 42.50 W during 5.63 s [measurement time: 0.0000]
|
103 |
+
[codecarbon INFO @ 00:37:14] 0.000199 kWh of electricity used since the beginning.
|
104 |
+
[codecarbon DEBUG @ 00:37:14] last_duration=5.623332002025563
|
105 |
+
------------------------
|
106 |
+
[codecarbon DEBUG @ 00:37:14] EmissionsData(timestamp='2024-12-05T00:37:14', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=5.626995744998567, emissions=7.344831051653639e-05, emissions_rate=1.3052846286905286e-05, cpu_power=42.5, gpu_power=80.90480266562896, ram_power=0.34178638458251953, cpu_energy=6.83737928957271e-05, gpu_energy=0.0001300548262648249, ram_energy=5.458327347855121e-07, energy_consumed=0.0001989744518953375, 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)
|
107 |
+
[codecarbon DEBUG @ 00:37:14] EmissionsData(timestamp='2024-12-05T00:37:14', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=0.005245147971436381, emissions=7.344831051653639e-05, emissions_rate=0.014003095988238174, cpu_power=42.5, gpu_power=80.90480266562896, ram_power=0.34178638458251953, cpu_energy=6.83737928957271e-05, gpu_energy=0.0001300548262648249, ram_energy=5.458327347855121e-07, energy_consumed=0.0001989744518953375, 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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|
109 |
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95%|█████████▍| 948/1000 [00:05<00:00, 180.82it/s]
|
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97%|█████████▋| 967/1000 [00:05<00:00, 180.93it/s]
|
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99%|█████████▊| 986/1000 [00:05<00:00, 180.31it/s]
|
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+
[codecarbon WARNING @ 00:37:20] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
163 |
+
[codecarbon INFO @ 00:37:20] Energy consumed for RAM : 0.000001 kWh. RAM Power : 0.3418750762939453 W
|
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+
[codecarbon DEBUG @ 00:37:20] RAM : 0.34 W during 5.46 s [measurement time: 0.0004]
|
165 |
+
[codecarbon INFO @ 00:37:20] Energy consumed for all GPUs : 0.000251 kWh. Total GPU Power : 79.51430083582915 W
|
166 |
+
[codecarbon DEBUG @ 00:37:20] GPU : 79.51 W during 5.46 s [measurement time: 0.0030]
|
167 |
+
[codecarbon INFO @ 00:37:20] Energy consumed for all CPUs : 0.000133 kWh. Total CPU Power : 42.5 W
|
168 |
+
[codecarbon DEBUG @ 00:37:20] CPU : 42.50 W during 5.46 s [measurement time: 0.0000]
|
169 |
+
[codecarbon INFO @ 00:37:20] 0.000385 kWh of electricity used since the beginning.
|
170 |
+
[codecarbon DEBUG @ 00:37:20] last_duration=5.458206440962385
|
171 |
+
------------------------
|
172 |
+
[codecarbon DEBUG @ 00:37:20] EmissionsData(timestamp='2024-12-05T00:37:20', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=5.462129193008877, emissions=0.00014195088109618715, emissions_rate=2.598819546009161e-05, cpu_power=42.5, gpu_power=79.51430083582915, ram_power=0.3418750762939453, cpu_energy=0.00013285603376563004, gpu_energy=0.0002506304782814439, ram_energy=1.064181679434311e-06, energy_consumed=0.0003845506937265083, 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)
|
173 |
+
[codecarbon DEBUG @ 00:37:20] EmissionsData(timestamp='2024-12-05T00:37:20', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=0.0020164839806966484, emissions=0.00014195088109618715, emissions_rate=0.07039524362953105, cpu_power=42.5, gpu_power=79.51430083582915, ram_power=0.3418750762939453, cpu_energy=0.00013285603376563004, gpu_energy=0.0002506304782814439, ram_energy=1.064181679434311e-06, energy_consumed=0.0003845506937265083, 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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|
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85%|████████▌ | 854/1000 [00:04<00:00, 186.08it/s]
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|
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|
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91%|█████████ | 911/1000 [00:04<00:00, 185.96it/s]
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|
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95%|█████████▍| 949/1000 [00:05<00:00, 184.89it/s]
|
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97%|█████████▋| 968/1000 [00:05<00:00, 183.31it/s]
|
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99%|█████████▊| 987/1000 [00:05<00:00, 182.10it/s]
|
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+
[codecarbon WARNING @ 00:37:25] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
229 |
+
[codecarbon INFO @ 00:37:25] Energy consumed for RAM : 0.000002 kWh. RAM Power : 0.34191083908081055 W
|
230 |
+
[codecarbon DEBUG @ 00:37:25] RAM : 0.34 W during 5.44 s [measurement time: 0.0004]
|
231 |
+
[codecarbon INFO @ 00:37:25] Energy consumed for all GPUs : 0.000373 kWh. Total GPU Power : 81.32767939620143 W
|
232 |
+
[codecarbon DEBUG @ 00:37:25] GPU : 81.33 W during 5.44 s [measurement time: 0.0023]
|
233 |
+
[codecarbon INFO @ 00:37:25] Energy consumed for all CPUs : 0.000197 kWh. Total CPU Power : 42.5 W
|
234 |
+
[codecarbon DEBUG @ 00:37:25] CPU : 42.50 W during 5.44 s [measurement time: 0.0000]
|
235 |
+
[codecarbon INFO @ 00:37:25] 0.000572 kWh of electricity used since the beginning.
|
236 |
+
[codecarbon DEBUG @ 00:37:25] last_duration=5.435178957995959
|
237 |
+
------------------------
|
238 |
+
[codecarbon DEBUG @ 00:37:25] EmissionsData(timestamp='2024-12-05T00:37:25', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=5.4384063520119525, emissions=0.0002111720454010686, emissions_rate=3.882976587855465e-05, cpu_power=42.5, gpu_power=81.32767939620143, ram_power=0.34191083908081055, cpu_energy=0.0001970582170962896, gpu_energy=0.0003734350209692039, ram_energy=1.5803970365000247e-06, energy_consumed=0.0005720736351019935, 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)
|
239 |
+
[codecarbon DEBUG @ 00:37:25] EmissionsData(timestamp='2024-12-05T00:37:25', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=0.002025774971116334, emissions=0.0002111720454010686, emissions_rate=0.10424259772777182, cpu_power=42.5, gpu_power=81.32767939620143, ram_power=0.34191083908081055, cpu_energy=0.0001970582170962896, gpu_energy=0.0003734350209692039, ram_energy=1.5803970365000247e-06, energy_consumed=0.0005720736351019935, 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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|
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0%| | 0/1000 [00:00<?, ?it/s]
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2%|▏ | 18/1000 [00:00<00:05, 179.30it/s]
|
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4%|▎ | 37/1000 [00:00<00:05, 182.20it/s]
|
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6%|▌ | 56/1000 [00:00<00:05, 183.09it/s]
|
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8%|▊ | 75/1000 [00:00<00:05, 184.11it/s]
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21%|██ | 208/1000 [00:01<00:04, 185.28it/s]
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57%|█████▋ | 569/1000 [00:03<00:02, 186.46it/s]
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59%|█████▉ | 588/1000 [00:03<00:02, 186.53it/s]
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61%|██████ | 607/1000 [00:03<00:02, 186.56it/s]
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63%|██████▎ | 626/1000 [00:03<00:02, 186.72it/s]
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70%|███████ | 702/1000 [00:03<00:01, 186.79it/s]
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72%|███████▏ | 721/1000 [00:03<00:01, 186.81it/s]
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74%|███████▍ | 740/1000 [00:03<00:01, 186.07it/s]
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|
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78%|███████▊ | 778/1000 [00:04<00:01, 186.37it/s]
|
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80%|███████▉ | 797/1000 [00:04<00:01, 186.55it/s]
|
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82%|████████▏ | 816/1000 [00:04<00:00, 186.74it/s]
|
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84%|████████▎ | 835/1000 [00:04<00:00, 187.13it/s]
|
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85%|████████▌ | 854/1000 [00:04<00:00, 187.09it/s]
|
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87%|████████▋ | 873/1000 [00:04<00:00, 187.11it/s]
|
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89%|████████▉ | 892/1000 [00:04<00:00, 186.95it/s]
|
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91%|█████████ | 911/1000 [00:04<00:00, 186.98it/s]
|
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93%|█████████▎| 930/1000 [00:04<00:00, 186.77it/s]
|
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95%|█████████▍| 949/1000 [00:05<00:00, 186.90it/s]
|
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97%|█████████▋| 968/1000 [00:05<00:00, 186.73it/s]
|
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99%|█████████▊| 987/1000 [00:05<00:00, 186.45it/s]
|
294 |
+
[codecarbon WARNING @ 00:37:31] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
295 |
+
[codecarbon INFO @ 00:37:31] Energy consumed for RAM : 0.000002 kWh. RAM Power : 0.34191083908081055 W
|
296 |
+
[codecarbon DEBUG @ 00:37:31] RAM : 0.34 W during 5.37 s [measurement time: 0.0004]
|
297 |
+
[codecarbon INFO @ 00:37:31] Energy consumed for all GPUs : 0.000492 kWh. Total GPU Power : 79.68353647234068 W
|
298 |
+
[codecarbon DEBUG @ 00:37:31] GPU : 79.68 W during 5.37 s [measurement time: 0.0060]
|
299 |
+
[codecarbon INFO @ 00:37:31] Energy consumed for all CPUs : 0.000261 kWh. Total CPU Power : 42.5 W
|
300 |
+
[codecarbon DEBUG @ 00:37:31] CPU : 42.50 W during 5.38 s [measurement time: 0.0000]
|
301 |
+
[codecarbon INFO @ 00:37:31] 0.000755 kWh of electricity used since the beginning.
|
302 |
+
[codecarbon DEBUG @ 00:37:31] last_duration=5.369190519966651
|
303 |
+
------------------------
|
304 |
+
[codecarbon DEBUG @ 00:37:31] EmissionsData(timestamp='2024-12-05T00:37:31', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=5.3761263599735685, emissions=0.00027866356477632083, emissions_rate=5.1833522152870464e-05, cpu_power=42.5, gpu_power=79.68353647234068, ram_power=0.34191083908081055, cpu_energy=0.0002605251592452987, gpu_energy=0.0004922953938351071, ram_energy=2.090345136726384e-06, energy_consumed=0.0007549108982171322, 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 @ 00:37:31] EmissionsData(timestamp='2024-12-05T00:37:31', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=0.002033925033174455, emissions=0.00027866356477632083, emissions_rate=0.13700778555313603, cpu_power=42.5, gpu_power=79.68353647234068, ram_power=0.34191083908081055, cpu_energy=0.0002605251592452987, gpu_energy=0.0004922953938351071, ram_energy=2.090345136726384e-06, energy_consumed=0.0007549108982171322, 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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+
|
307 |
0%| | 0/1000 [00:00<?, ?it/s]
|
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2%|▏ | 19/1000 [00:00<00:05, 185.72it/s]
|
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4%|▍ | 38/1000 [00:00<00:05, 184.44it/s]
|
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6%|▌ | 57/1000 [00:00<00:05, 185.20it/s]
|
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8%|▊ | 76/1000 [00:00<00:04, 185.43it/s]
|
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10%|▉ | 95/1000 [00:00<00:04, 185.90it/s]
|
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11%|█▏ | 114/1000 [00:00<00:04, 185.80it/s]
|
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13%|█▎ | 133/1000 [00:00<00:04, 186.04it/s]
|
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15%|█▌ | 152/1000 [00:00<00:04, 186.41it/s]
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61%|██████ | 608/1000 [00:03<00:02, 186.88it/s]
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68%|██████▊ | 684/1000 [00:03<00:01, 186.79it/s]
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74%|███████▍ | 741/1000 [00:03<00:01, 186.95it/s]
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76%|███████▌ | 760/1000 [00:04<00:01, 187.01it/s]
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|
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84%|████████▎ | 836/1000 [00:04<00:00, 186.82it/s]
|
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86%|████████▌ | 855/1000 [00:04<00:00, 187.53it/s]
|
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87%|████████▋ | 874/1000 [00:04<00:00, 187.48it/s]
|
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89%|████████▉ | 893/1000 [00:04<00:00, 187.20it/s]
|
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91%|█████████ | 912/1000 [00:04<00:00, 187.14it/s]
|
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93%|█████████▎| 931/1000 [00:04<00:00, 187.04it/s]
|
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95%|█████████▌| 950/1000 [00:05<00:00, 187.09it/s]
|
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97%|█████████▋| 969/1000 [00:05<00:00, 187.00it/s]
|
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99%|█████████▉| 988/1000 [00:05<00:00, 186.51it/s]
|
360 |
+
[codecarbon WARNING @ 00:37:36] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
361 |
+
[codecarbon INFO @ 00:37:36] Energy consumed for RAM : 0.000003 kWh. RAM Power : 0.34191226959228516 W
|
362 |
+
[codecarbon DEBUG @ 00:37:36] RAM : 0.34 W during 5.36 s [measurement time: 0.0004]
|
363 |
+
[codecarbon INFO @ 00:37:36] Energy consumed for all GPUs : 0.000614 kWh. Total GPU Power : 81.48378815444873 W
|
364 |
+
[codecarbon DEBUG @ 00:37:36] GPU : 81.48 W during 5.36 s [measurement time: 0.0023]
|
365 |
+
[codecarbon INFO @ 00:37:36] Energy consumed for all CPUs : 0.000324 kWh. Total CPU Power : 42.5 W
|
366 |
+
[codecarbon DEBUG @ 00:37:36] CPU : 42.50 W during 5.36 s [measurement time: 0.0000]
|
367 |
+
[codecarbon INFO @ 00:37:36] 0.000940 kWh of electricity used since the beginning.
|
368 |
+
[codecarbon DEBUG @ 00:37:36] last_duration=5.35688115702942
|
369 |
+
------------------------
|
370 |
+
[codecarbon DEBUG @ 00:37:36] EmissionsData(timestamp='2024-12-05T00:37:36', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=5.3600602590013295, emissions=0.0003469731288729262, emissions_rate=6.473306494833571e-05, cpu_power=42.5, gpu_power=81.48378815444873, ram_power=0.34191226959228516, cpu_energy=0.00032380243782552295, gpu_energy=0.0006135627130712251, ram_energy=2.599126761581372e-06, energy_consumed=0.0009399642776583294, 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)
|
371 |
+
[codecarbon DEBUG @ 00:37:36] EmissionsData(timestamp='2024-12-05T00:37:36', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=0.0020143139990977943, emissions=0.0003469731288729262, emissions_rate=0.17225374446503103, cpu_power=42.5, gpu_power=81.48378815444873, ram_power=0.34191226959228516, cpu_energy=0.00032380243782552295, gpu_energy=0.0006135627130712251, ram_energy=2.599126761581372e-06, energy_consumed=0.0009399642776583294, 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)
|
372 |
+
|
373 |
0%| | 0/1000 [00:00<?, ?it/s]
|
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2%|▏ | 19/1000 [00:00<00:05, 186.25it/s]
|
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4%|▍ | 38/1000 [00:00<00:05, 187.27it/s]
|
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6%|▌ | 57/1000 [00:00<00:05, 184.60it/s]
|
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8%|▊ | 76/1000 [00:00<00:04, 185.62it/s]
|
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10%|▉ | 95/1000 [00:00<00:04, 185.99it/s]
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11%|█▏ | 114/1000 [00:00<00:04, 186.32it/s]
|
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13%|█▎ | 133/1000 [00:00<00:04, 187.13it/s]
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21%|██ | 209/1000 [00:01<00:04, 185.12it/s]
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57%|█████▋ | 570/1000 [00:03<00:02, 184.69it/s]
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59%|█████▉ | 589/1000 [00:03<00:02, 183.42it/s]
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61%|██████ | 608/1000 [00:03<00:02, 182.45it/s]
|
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63%|██████▎ | 627/1000 [00:03<00:02, 183.44it/s]
|
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|
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|
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68%|██████▊ | 684/1000 [00:03<00:01, 185.32it/s]
|
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70%|███████ | 703/1000 [00:03<00:01, 185.62it/s]
|
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72%|███████▏ | 722/1000 [00:03<00:01, 185.85it/s]
|
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|
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|
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78%|███████▊ | 779/1000 [00:04<00:01, 185.72it/s]
|
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80%|███████▉ | 798/1000 [00:04<00:01, 185.92it/s]
|
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82%|████████▏ | 817/1000 [00:04<00:00, 186.23it/s]
|
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84%|████████▎ | 836/1000 [00:04<00:00, 186.34it/s]
|
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86%|████████▌ | 855/1000 [00:04<00:00, 186.41it/s]
|
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87%|████████▋ | 874/1000 [00:04<00:00, 186.55it/s]
|
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89%|████████▉ | 893/1000 [00:04<00:00, 185.39it/s]
|
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91%|█████████ | 912/1000 [00:04<00:00, 185.85it/s]
|
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93%|█████████▎| 931/1000 [00:05<00:00, 185.51it/s]
|
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95%|█████████▌| 950/1000 [00:05<00:00, 185.98it/s]
|
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97%|█████████▋| 969/1000 [00:05<00:00, 186.09it/s]
|
425 |
99%|█████████▉| 988/1000 [00:05<00:00, 186.26it/s]
|
426 |
+
[codecarbon WARNING @ 00:37:41] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
427 |
+
[codecarbon INFO @ 00:37:41] Energy consumed for RAM : 0.000003 kWh. RAM Power : 0.34191226959228516 W
|
428 |
+
[codecarbon DEBUG @ 00:37:41] RAM : 0.34 W during 5.38 s [measurement time: 0.0004]
|
429 |
+
[codecarbon INFO @ 00:37:41] Energy consumed for all GPUs : 0.000735 kWh. Total GPU Power : 80.88542164475706 W
|
430 |
+
[codecarbon DEBUG @ 00:37:41] GPU : 80.89 W during 5.39 s [measurement time: 0.0028]
|
431 |
+
[codecarbon INFO @ 00:37:41] Energy consumed for all CPUs : 0.000387 kWh. Total CPU Power : 42.5 W
|
432 |
+
[codecarbon DEBUG @ 00:37:41] CPU : 42.50 W during 5.39 s [measurement time: 0.0000]
|
433 |
+
[codecarbon INFO @ 00:37:41] 0.001125 kWh of electricity used since the beginning.
|
434 |
+
[codecarbon DEBUG @ 00:37:41] last_duration=5.38450276304502
|
435 |
+
------------------------
|
436 |
+
[codecarbon DEBUG @ 00:37:41] EmissionsData(timestamp='2024-12-05T00:37:41', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=5.38823386002332, emissions=0.00041530683678693217, emissions_rate=7.707661686108308e-05, cpu_power=42.5, gpu_power=80.88542164475706, ram_power=0.34191226959228516, cpu_energy=0.0003874122222387086, gpu_energy=0.0007345603098691811, ram_energy=3.1105315721308648e-06, energy_consumed=0.0011250830636800205, 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)
|
437 |
+
[codecarbon DEBUG @ 00:37:41] EmissionsData(timestamp='2024-12-05T00:37:41', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=0.006022343994118273, emissions=0.00041530683678693217, emissions_rate=0.06896099545169487, cpu_power=42.5, gpu_power=80.88542164475706, ram_power=0.34191226959228516, cpu_energy=0.0003874122222387086, gpu_energy=0.0007345603098691811, ram_energy=3.1105315721308648e-06, energy_consumed=0.0011250830636800205, 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)
|
438 |
+
|
439 |
0%| | 0/1000 [00:00<?, ?it/s]
|
440 |
2%|▏ | 19/1000 [00:00<00:05, 184.57it/s]
|
441 |
4%|▍ | 38/1000 [00:00<00:05, 186.71it/s]
|
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6%|▌ | 57/1000 [00:00<00:05, 187.39it/s]
|
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8%|▊ | 76/1000 [00:00<00:04, 187.47it/s]
|
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10%|▉ | 95/1000 [00:00<00:04, 187.16it/s]
|
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11%|█▏ | 114/1000 [00:00<00:04, 186.32it/s]
|
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13%|█▎ | 133/1000 [00:00<00:04, 186.59it/s]
|
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15%|█▌ | 152/1000 [00:00<00:04, 186.67it/s]
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19%|█▉ | 190/1000 [00:01<00:04, 186.79it/s]
|
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21%|██ | 209/1000 [00:01<00:04, 186.75it/s]
|
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27%|██▋ | 267/1000 [00:01<00:03, 187.42it/s]
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29%|██▊ | 286/1000 [00:01<00:03, 187.35it/s]
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32%|███▏ | 324/1000 [00:01<00:03, 186.71it/s]
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42%|████▏ | 419/1000 [00:02<00:03, 186.61it/s]
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44%|████▍ | 438/1000 [00:02<00:03, 186.70it/s]
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|
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48%|████▊ | 476/1000 [00:02<00:02, 186.85it/s]
|
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50%|████▉ | 495/1000 [00:02<00:02, 185.83it/s]
|
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51%|█████▏ | 514/1000 [00:02<00:02, 186.09it/s]
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53%|█████▎ | 533/1000 [00:02<00:02, 186.35it/s]
|
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55%|█████▌ | 552/1000 [00:02<00:02, 186.48it/s]
|
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57%|█████▋ | 571/1000 [00:03<00:02, 187.05it/s]
|
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59%|█████▉ | 590/1000 [00:03<00:02, 186.99it/s]
|
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61%|██████ | 609/1000 [00:03<00:02, 186.93it/s]
|
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63%|██████▎ | 628/1000 [00:03<00:01, 186.87it/s]
|
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65%|██████▍ | 647/1000 [00:03<00:01, 186.19it/s]
|
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67%|██████▋ | 666/1000 [00:03<00:01, 186.35it/s]
|
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68%|██████▊ | 685/1000 [00:03<00:01, 186.15it/s]
|
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70%|███████ | 704/1000 [00:03<00:01, 186.47it/s]
|
477 |
72%|███████▏ | 723/1000 [00:03<00:01, 185.71it/s]
|
478 |
74%|███████▍ | 742/1000 [00:03<00:01, 185.44it/s]
|
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76%|███████▌ | 761/1000 [00:04<00:01, 185.96it/s]
|
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78%|███████▊ | 780/1000 [00:04<00:01, 185.72it/s]
|
481 |
80%|███████▉ | 799/1000 [00:04<00:01, 184.42it/s]
|
482 |
82%|████████▏ | 818/1000 [00:04<00:00, 183.64it/s]
|
483 |
84%|████████▎ | 837/1000 [00:04<00:00, 184.11it/s]
|
484 |
86%|████████▌ | 856/1000 [00:04<00:00, 182.77it/s]
|
485 |
88%|████████▊ | 875/1000 [00:04<00:00, 183.03it/s]
|
486 |
89%|████████▉ | 894/1000 [00:04<00:00, 183.31it/s]
|
487 |
91%|█████████▏| 913/1000 [00:04<00:00, 184.29it/s]
|
488 |
93%|█████████▎| 932/1000 [00:05<00:00, 184.86it/s]
|
489 |
95%|█████████▌| 951/1000 [00:05<00:00, 185.59it/s]
|
490 |
97%|█████████▋| 970/1000 [00:05<00:00, 185.98it/s]
|
491 |
99%|█████████▉| 989/1000 [00:05<00:00, 186.19it/s]
|
492 |
+
[codecarbon WARNING @ 00:37:47] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
493 |
+
[codecarbon INFO @ 00:37:47] Energy consumed for RAM : 0.000004 kWh. RAM Power : 0.3419151306152344 W
|
494 |
+
[codecarbon DEBUG @ 00:37:47] RAM : 0.34 W during 5.38 s [measurement time: 0.0004]
|
495 |
+
[codecarbon INFO @ 00:37:47] Energy consumed for all GPUs : 0.000856 kWh. Total GPU Power : 80.91784923283659 W
|
496 |
+
[codecarbon DEBUG @ 00:37:47] GPU : 80.92 W during 5.38 s [measurement time: 0.0030]
|
497 |
+
[codecarbon INFO @ 00:37:47] Energy consumed for all CPUs : 0.000451 kWh. Total CPU Power : 42.5 W
|
498 |
+
[codecarbon DEBUG @ 00:37:47] CPU : 42.50 W during 5.38 s [measurement time: 0.0000]
|
499 |
+
[codecarbon INFO @ 00:37:47] 0.001310 kWh of electricity used since the beginning.
|
500 |
+
[codecarbon DEBUG @ 00:37:47] EmissionsData(timestamp='2024-12-05T00:37:47', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=5.383781075011939, emissions=0.0004836005986516783, emissions_rate=8.982545759452262e-05, cpu_power=42.5, gpu_power=80.91784923283659, ram_power=0.3419151306152344, cpu_energy=0.0004509697803620333, gpu_energy=0.000855502351067905, ram_energy=3.6215028043111817e-06, energy_consumed=0.0013100936342342493, 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)
|
501 |
+
[codecarbon INFO @ 00:37:47] 0.012699 g.CO2eq/s mean an estimation of 400.48506857409944 kg.CO2eq/year
|
502 |
+
[codecarbon DEBUG @ 00:37:47] last_duration=5.379895540012512
|
503 |
+
------------------------
|
504 |
+
[codecarbon DEBUG @ 00:37:47] EmissionsData(timestamp='2024-12-05T00:37:47', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=5.384111588005908, emissions=0.0004836005986516783, emissions_rate=8.98199435035832e-05, cpu_power=42.5, gpu_power=80.91784923283659, ram_power=0.3419151306152344, cpu_energy=0.0004509697803620333, gpu_energy=0.000855502351067905, ram_energy=3.6215028043111817e-06, energy_consumed=0.0013100936342342493, 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)
|
505 |
+
[codecarbon DEBUG @ 00:37:47] EmissionsData(timestamp='2024-12-05T00:37:47', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=0.002039326005615294, emissions=0.0004836005986516783, emissions_rate=0.23713746469180588, cpu_power=42.5, gpu_power=80.91784923283659, ram_power=0.3419151306152344, cpu_energy=0.0004509697803620333, gpu_energy=0.000855502351067905, ram_energy=3.6215028043111817e-06, energy_consumed=0.0013100936342342493, 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)
|
506 |
+
|
507 |
0%| | 0/1000 [00:00<?, ?it/s]
|
508 |
2%|▏ | 19/1000 [00:00<00:05, 184.79it/s]
|
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4%|▍ | 38/1000 [00:00<00:05, 183.91it/s]
|
510 |
6%|▌ | 57/1000 [00:00<00:05, 184.73it/s]
|
511 |
8%|▊ | 76/1000 [00:00<00:04, 185.33it/s]
|
512 |
10%|▉ | 95/1000 [00:00<00:04, 185.72it/s]
|
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11%|█▏ | 114/1000 [00:00<00:04, 186.05it/s]
|
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13%|█▎ | 133/1000 [00:00<00:04, 186.35it/s]
|
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15%|█▌ | 152/1000 [00:00<00:04, 186.43it/s]
|
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17%|█▋ | 171/1000 [00:00<00:04, 186.36it/s]
|
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19%|█▉ | 190/1000 [00:01<00:04, 186.10it/s]
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21%|██ | 209/1000 [00:01<00:04, 186.18it/s]
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23%|██▎ | 228/1000 [00:01<00:04, 184.99it/s]
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|
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27%|██▋ | 266/1000 [00:01<00:03, 185.77it/s]
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28%|██▊ | 285/1000 [00:01<00:03, 186.04it/s]
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|
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32%|███▏ | 323/1000 [00:01<00:03, 186.47it/s]
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34%|███▍ | 342/1000 [00:01<00:03, 186.50it/s]
|
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36%|███▌ | 361/1000 [00:01<00:03, 186.29it/s]
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38%|███▊ | 380/1000 [00:02<00:03, 185.64it/s]
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40%|███▉ | 399/1000 [00:02<00:03, 184.08it/s]
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42%|████▏ | 418/1000 [00:02<00:03, 184.34it/s]
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44%|████▎ | 437/1000 [00:02<00:03, 183.80it/s]
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46%|████▌ | 456/1000 [00:02<00:02, 184.46it/s]
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48%|████▊ | 475/1000 [00:02<00:02, 184.96it/s]
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49%|████▉ | 494/1000 [00:02<00:02, 185.53it/s]
|
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51%|█████▏ | 513/1000 [00:02<00:02, 185.74it/s]
|
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53%|█████▎ | 532/1000 [00:02<00:02, 185.34it/s]
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55%|█████▌ | 551/1000 [00:02<00:02, 182.23it/s]
|
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57%|█████▋ | 570/1000 [00:03<00:02, 179.61it/s]
|
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59%|█████▉ | 588/1000 [00:03<00:02, 177.57it/s]
|
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61%|██████ | 606/1000 [00:03<00:02, 176.77it/s]
|
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62%|██████▏ | 624/1000 [00:03<00:02, 176.70it/s]
|
541 |
64%|██████▍ | 642/1000 [00:03<00:02, 176.26it/s]
|
542 |
66%|██████▌ | 660/1000 [00:03<00:01, 176.05it/s]
|
543 |
68%|██████▊ | 678/1000 [00:03<00:01, 176.16it/s]
|
544 |
70%|██████▉ | 696/1000 [00:03<00:01, 176.49it/s]
|
545 |
71%|███████▏ | 714/1000 [00:03<00:01, 177.00it/s]
|
546 |
73%|███████▎ | 733/1000 [00:04<00:01, 178.78it/s]
|
547 |
75%|███████▌ | 752/1000 [00:04<00:01, 180.10it/s]
|
548 |
77%|███████▋ | 771/1000 [00:04<00:01, 181.86it/s]
|
549 |
79%|███████▉ | 790/1000 [00:04<00:01, 181.13it/s]
|
550 |
81%|████████ | 809/1000 [00:04<00:01, 180.64it/s]
|
551 |
83%|████████▎ | 828/1000 [00:04<00:00, 181.72it/s]
|
552 |
85%|████████▍ | 847/1000 [00:04<00:00, 183.60it/s]
|
553 |
87%|████████▋ | 866/1000 [00:04<00:00, 180.20it/s]
|
554 |
88%|████████▊ | 885/1000 [00:04<00:00, 179.56it/s]
|
555 |
90%|█████████ | 903/1000 [00:04<00:00, 179.63it/s]
|
556 |
92%|█████████▏| 921/1000 [00:05<00:00, 179.48it/s]
|
557 |
94%|█████████▍| 940/1000 [00:05<00:00, 179.83it/s]
|
558 |
96%|█████████▌| 959/1000 [00:05<00:00, 181.10it/s]
|
559 |
98%|█████████▊| 978/1000 [00:05<00:00, 182.25it/s]
|
560 |
+
[codecarbon WARNING @ 00:37:52] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
561 |
+
[codecarbon INFO @ 00:37:52] Energy consumed for RAM : 0.000004 kWh. RAM Power : 0.3419151306152344 W
|
562 |
+
[codecarbon DEBUG @ 00:37:52] RAM : 0.34 W during 5.48 s [measurement time: 0.0005]
|
563 |
+
[codecarbon INFO @ 00:37:52] Energy consumed for all GPUs : 0.000979 kWh. Total GPU Power : 80.90339416228707 W
|
564 |
+
[codecarbon DEBUG @ 00:37:52] GPU : 80.90 W during 5.48 s [measurement time: 0.0023]
|
565 |
+
[codecarbon INFO @ 00:37:52] Energy consumed for all CPUs : 0.000516 kWh. Total CPU Power : 42.5 W
|
566 |
+
[codecarbon DEBUG @ 00:37:52] CPU : 42.50 W during 5.48 s [measurement time: 0.0000]
|
567 |
+
[codecarbon INFO @ 00:37:52] 0.001498 kWh of electricity used since the beginning.
|
568 |
+
[codecarbon DEBUG @ 00:37:52] last_duration=5.478222850011662
|
569 |
+
------------------------
|
570 |
+
[codecarbon DEBUG @ 00:37:52] EmissionsData(timestamp='2024-12-05T00:37:52', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=5.481445233977865, emissions=0.0005531313714491181, emissions_rate=0.00010090976883622216, cpu_power=42.5, gpu_power=80.90339416228707, ram_power=0.3419151306152344, cpu_energy=0.0005156799431951287, gpu_energy=0.0009786335606838392, ram_energy=4.141813693321208e-06, energy_consumed=0.0014984553175722889, 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)
|
571 |
+
[codecarbon DEBUG @ 00:37:52] EmissionsData(timestamp='2024-12-05T00:37:52', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=0.00202655402245, emissions=0.0005531313714491181, emissions_rate=0.2729418339316761, cpu_power=42.5, gpu_power=80.90339416228707, ram_power=0.3419151306152344, cpu_energy=0.0005156799431951287, gpu_energy=0.0009786335606838392, ram_energy=4.141813693321208e-06, energy_consumed=0.0014984553175722889, 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)
|
572 |
+
|
573 |
0%| | 0/1000 [00:00<?, ?it/s]
|
574 |
2%|▏ | 19/1000 [00:00<00:05, 187.45it/s]
|
575 |
4%|▍ | 38/1000 [00:00<00:05, 187.87it/s]
|
576 |
6%|▌ | 57/1000 [00:00<00:05, 187.89it/s]
|
577 |
8%|▊ | 76/1000 [00:00<00:04, 187.75it/s]
|
578 |
10%|▉ | 95/1000 [00:00<00:04, 188.20it/s]
|
579 |
11%|█▏ | 114/1000 [00:00<00:04, 188.42it/s]
|
580 |
13%|█▎ | 133/1000 [00:00<00:04, 187.67it/s]
|
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15%|█▌ | 152/1000 [00:00<00:04, 187.89it/s]
|
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17%|█▋ | 171/1000 [00:00<00:04, 187.95it/s]
|
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19%|█▉ | 190/1000 [00:01<00:04, 184.63it/s]
|
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21%|██ | 209/1000 [00:01<00:04, 182.35it/s]
|
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23%|██▎ | 228/1000 [00:01<00:04, 180.30it/s]
|
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25%|██▍ | 247/1000 [00:01<00:04, 180.05it/s]
|
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27%|██▋ | 266/1000 [00:01<00:04, 179.79it/s]
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28%|██▊ | 284/1000 [00:01<00:03, 179.14it/s]
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32%|███▏ | 320/1000 [00:01<00:03, 178.27it/s]
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34%|███▍ | 338/1000 [00:01<00:03, 178.08it/s]
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36%|███▌ | 356/1000 [00:01<00:03, 177.59it/s]
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37%|███▋ | 374/1000 [00:02<00:03, 178.07it/s]
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39%|███▉ | 392/1000 [00:02<00:03, 177.82it/s]
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41%|████ | 410/1000 [00:02<00:03, 177.76it/s]
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|
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48%|████▊ | 482/1000 [00:02<00:02, 177.59it/s]
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50%|█████ | 500/1000 [00:02<00:02, 177.73it/s]
|
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52%|█████▏ | 518/1000 [00:02<00:02, 177.21it/s]
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54%|█████▎ | 536/1000 [00:02<00:02, 177.43it/s]
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55%|█████▌ | 554/1000 [00:03<00:02, 177.60it/s]
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57%|█████▋ | 572/1000 [00:03<00:02, 177.84it/s]
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59%|█████▉ | 590/1000 [00:03<00:02, 177.84it/s]
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61%|██████ | 608/1000 [00:03<00:02, 177.83it/s]
|
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63%|██████▎ | 626/1000 [00:03<00:02, 177.69it/s]
|
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64%|██████▍ | 644/1000 [00:03<00:02, 177.77it/s]
|
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66%|██████▌ | 662/1000 [00:03<00:01, 177.72it/s]
|
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68%|██████▊ | 680/1000 [00:03<00:01, 177.08it/s]
|
611 |
70%|██████▉ | 698/1000 [00:03<00:01, 176.86it/s]
|
612 |
72%|███████▏ | 716/1000 [00:03<00:01, 176.73it/s]
|
613 |
73%|███████▎ | 734/1000 [00:04<00:01, 176.78it/s]
|
614 |
75%|███████▌ | 752/1000 [00:04<00:01, 176.62it/s]
|
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77%|███████▋ | 770/1000 [00:04<00:01, 175.88it/s]
|
616 |
79%|███████▉ | 788/1000 [00:04<00:01, 175.61it/s]
|
617 |
81%|████████ | 806/1000 [00:04<00:01, 176.22it/s]
|
618 |
82%|████████▏ | 824/1000 [00:04<00:00, 176.67it/s]
|
619 |
84%|████████▍ | 842/1000 [00:04<00:00, 176.22it/s]
|
620 |
86%|████████▌ | 860/1000 [00:04<00:00, 175.77it/s]
|
621 |
88%|████████▊ | 878/1000 [00:04<00:00, 175.61it/s]
|
622 |
90%|████████▉ | 896/1000 [00:05<00:00, 175.84it/s]
|
623 |
91%|█████████▏| 914/1000 [00:05<00:00, 176.70it/s]
|
624 |
93%|█████████▎| 932/1000 [00:05<00:00, 176.53it/s]
|
625 |
95%|█████████▌| 950/1000 [00:05<00:00, 176.46it/s]
|
626 |
97%|█████████▋| 968/1000 [00:05<00:00, 176.98it/s]
|
627 |
99%|█████████▊| 986/1000 [00:05<00:00, 176.92it/s]
|
628 |
+
[codecarbon WARNING @ 00:37:58] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
629 |
+
[codecarbon INFO @ 00:37:58] Energy consumed for RAM : 0.000005 kWh. RAM Power : 0.3419151306152344 W
|
630 |
+
[codecarbon DEBUG @ 00:37:58] RAM : 0.34 W during 5.59 s [measurement time: 0.0005]
|
631 |
+
[codecarbon INFO @ 00:37:58] Energy consumed for all GPUs : 0.001103 kWh. Total GPU Power : 80.22327428835422 W
|
632 |
+
[codecarbon DEBUG @ 00:37:58] GPU : 80.22 W during 5.59 s [measurement time: 0.0022]
|
633 |
+
[codecarbon INFO @ 00:37:58] Energy consumed for all CPUs : 0.000582 kWh. Total CPU Power : 42.5 W
|
634 |
+
[codecarbon DEBUG @ 00:37:58] CPU : 42.50 W during 5.60 s [measurement time: 0.0000]
|
635 |
+
[codecarbon INFO @ 00:37:58] 0.001690 kWh of electricity used since the beginning.
|
636 |
+
[codecarbon DEBUG @ 00:37:58] last_duration=5.593650219030678
|
637 |
+
------------------------
|
638 |
+
[codecarbon DEBUG @ 00:37:58] EmissionsData(timestamp='2024-12-05T00:37:58', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=5.59686559200054, emissions=0.000623736870132487, emissions_rate=0.00011144396088839054, cpu_power=42.5, gpu_power=80.22327428835422, ram_power=0.3419151306152344, cpu_energy=0.000581752840171733, gpu_energy=0.001103302549307017, ram_energy=4.673087442212113e-06, energy_consumed=0.001689728476920962, 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)
|
639 |
+
[codecarbon DEBUG @ 00:37:58] EmissionsData(timestamp='2024-12-05T00:37:58', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=0.002028044022154063, emissions=0.000623736870132487, emissions_rate=0.3075558830670708, cpu_power=42.5, gpu_power=80.22327428835422, ram_power=0.3419151306152344, cpu_energy=0.000581752840171733, gpu_energy=0.001103302549307017, ram_energy=4.673087442212113e-06, energy_consumed=0.001689728476920962, 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)
|
640 |
+
|
641 |
0%| | 0/1000 [00:00<?, ?it/s]
|
642 |
2%|▏ | 19/1000 [00:00<00:05, 186.62it/s]
|
643 |
4%|▍ | 38/1000 [00:00<00:05, 179.66it/s]
|
644 |
6%|▌ | 56/1000 [00:00<00:05, 177.72it/s]
|
645 |
7%|▋ | 74/1000 [00:00<00:05, 176.72it/s]
|
646 |
9%|▉ | 92/1000 [00:00<00:05, 176.79it/s]
|
647 |
11%|█ | 110/1000 [00:00<00:05, 176.26it/s]
|
648 |
13%|█▎ | 128/1000 [00:00<00:04, 176.32it/s]
|
649 |
15%|█▍ | 146/1000 [00:00<00:04, 176.16it/s]
|
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16%|█▋ | 164/1000 [00:00<00:04, 175.89it/s]
|
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18%|█▊ | 182/1000 [00:01<00:04, 175.67it/s]
|
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20%|██ | 200/1000 [00:01<00:04, 175.38it/s]
|
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22%|██▏ | 218/1000 [00:01<00:04, 175.42it/s]
|
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24%|██▎ | 236/1000 [00:01<00:04, 175.32it/s]
|
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25%|██▌ | 254/1000 [00:01<00:04, 173.52it/s]
|
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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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87%|████████▋ | 866/1000 [00:04<00:00, 175.68it/s]
|
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88%|████████▊ | 884/1000 [00:05<00:00, 175.58it/s]
|
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90%|█████████ | 902/1000 [00:05<00:00, 175.41it/s]
|
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92%|█████████▏| 920/1000 [00:05<00:00, 175.68it/s]
|
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94%|█████████▍| 938/1000 [00:05<00:00, 175.61it/s]
|
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96%|█████████▌| 956/1000 [00:05<00:00, 175.68it/s]
|
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97%|█████████▋| 974/1000 [00:05<00:00, 175.54it/s]
|
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99%|█████████▉| 992/1000 [00:05<00:00, 175.38it/s]
|
697 |
+
[codecarbon WARNING @ 00:38:03] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
698 |
+
[codecarbon INFO @ 00:38:03] Energy consumed for RAM : 0.000005 kWh. RAM Power : 0.341916561126709 W
|
699 |
+
[codecarbon DEBUG @ 00:38:03] RAM : 0.34 W during 5.69 s [measurement time: 0.0004]
|
700 |
+
[codecarbon INFO @ 00:38:03] Energy consumed for all GPUs : 0.001230 kWh. Total GPU Power : 80.11220968397961 W
|
701 |
+
[codecarbon DEBUG @ 00:38:03] GPU : 80.11 W during 5.69 s [measurement time: 0.0034]
|
702 |
+
[codecarbon INFO @ 00:38:03] Energy consumed for all CPUs : 0.000649 kWh. Total CPU Power : 42.5 W
|
703 |
+
[codecarbon DEBUG @ 00:38:03] CPU : 42.50 W during 5.69 s [measurement time: 0.0000]
|
704 |
+
[codecarbon INFO @ 00:38:03] 0.001884 kWh of electricity used since the beginning.
|
705 |
+
[codecarbon DEBUG @ 00:38:03] last_duration=5.689292910974473
|
706 |
+
------------------------
|
707 |
+
[codecarbon DEBUG @ 00:38:03] EmissionsData(timestamp='2024-12-05T00:38:03', project_name='codecarbon', run_id='949ebe32-92ae-4a61-b9e4-1c493887be0e', duration=5.693626552005298, emissions=0.0006954888976896771, emissions_rate=0.00012215218039629338, cpu_power=42.5, gpu_power=80.11220968397961, ram_power=0.341916561126709, cpu_energy=0.0006489679213309703, gpu_energy=0.0012299262617165851, ram_energy=5.213446438893271e-06, energy_consumed=0.0018841076294864487, 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)
|
sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/experiment_config.json
ADDED
@@ -0,0 +1,107 @@
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|
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|
1 |
+
{
|
2 |
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"experiment_name": "sentence_similarity_udever-bloom-7b1",
|
3 |
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"backend": {
|
4 |
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"name": "pytorch",
|
5 |
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|
6 |
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"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
7 |
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|
8 |
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|
9 |
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"processor": "sentence-transformers/all-MiniLM-L12-v2",
|
10 |
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"library": "transformers",
|
11 |
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"device": "cuda",
|
12 |
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|
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|
14 |
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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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|
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|
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|
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|
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},
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|
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"name": "energy_star",
|
50 |
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"_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
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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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|
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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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|
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|
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"NVIDIA A10G"
|
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|
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|
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|
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|
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}
|
107 |
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}
|
sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/forward_codecarbon.json
ADDED
@@ -0,0 +1,33 @@
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|
|
1 |
+
{
|
2 |
+
"timestamp": "2024-12-05T00:38:03",
|
3 |
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"project_name": "codecarbon",
|
4 |
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"run_id": "949ebe32-92ae-4a61-b9e4-1c493887be0e",
|
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"duration": -1732874267.3993058,
|
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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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|
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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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|
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|
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"pue": 1.0
|
33 |
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}
|
sentence_similarity/sentence-transformers/all-MiniLM-L12-v2/2024-12-05-00-36-55/preprocess_codecarbon.json
ADDED
@@ -0,0 +1,33 @@
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|
|
1 |
+
{
|
2 |
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"timestamp": "2024-12-05T00:37:08",
|
3 |
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"project_name": "codecarbon",
|
4 |
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"run_id": "949ebe32-92ae-4a61-b9e4-1c493887be0e",
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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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|
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|
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|
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|
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|
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|
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|
22 |
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"codecarbon_version": "2.5.1",
|
23 |
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|
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|
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|
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|
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|
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"latitude": 39.0469,
|
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"ram_total_size": 186.7047882080078,
|
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"tracking_mode": "process",
|
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|
32 |
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|
33 |
+
}
|
sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/.hydra/config.yaml
ADDED
@@ -0,0 +1,94 @@
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|
1 |
+
backend:
|
2 |
+
name: pytorch
|
3 |
+
version: 2.4.0
|
4 |
+
_target_: optimum_benchmark.backends.pytorch.backend.PyTorchBackend
|
5 |
+
task: sentence-similarity
|
6 |
+
model: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
|
7 |
+
processor: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
|
8 |
+
library: transformers
|
9 |
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device: cuda
|
10 |
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device_ids: '0'
|
11 |
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seed: 42
|
12 |
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inter_op_num_threads: null
|
13 |
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intra_op_num_threads: null
|
14 |
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hub_kwargs: {}
|
15 |
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no_weights: true
|
16 |
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device_map: null
|
17 |
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torch_dtype: null
|
18 |
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amp_autocast: false
|
19 |
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amp_dtype: null
|
20 |
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eval_mode: true
|
21 |
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to_bettertransformer: false
|
22 |
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low_cpu_mem_usage: null
|
23 |
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attn_implementation: null
|
24 |
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cache_implementation: null
|
25 |
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torch_compile: false
|
26 |
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torch_compile_config: {}
|
27 |
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quantization_scheme: null
|
28 |
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quantization_config: {}
|
29 |
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deepspeed_inference: false
|
30 |
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deepspeed_inference_config: {}
|
31 |
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peft_type: null
|
32 |
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peft_config: {}
|
33 |
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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/sentence_similarity
|
43 |
+
dataset_config: ''
|
44 |
+
dataset_split: train
|
45 |
+
num_samples: 1000
|
46 |
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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 |
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warmup_runs: 10
|
63 |
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energy: true
|
64 |
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forward_kwargs: {}
|
65 |
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generate_kwargs: {}
|
66 |
+
call_kwargs: {}
|
67 |
+
experiment_name: sentence_similarity_udever-bloom-7b1
|
68 |
+
environment:
|
69 |
+
cpu: ' AMD EPYC 7R32'
|
70 |
+
cpu_count: 48
|
71 |
+
cpu_ram_mb: 200472.73984
|
72 |
+
system: Linux
|
73 |
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machine: x86_64
|
74 |
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platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
|
75 |
+
processor: x86_64
|
76 |
+
python_version: 3.9.20
|
77 |
+
gpu:
|
78 |
+
- NVIDIA A10G
|
79 |
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gpu_count: 1
|
80 |
+
gpu_vram_mb: 24146608128
|
81 |
+
optimum_benchmark_version: 0.2.0
|
82 |
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optimum_benchmark_commit: null
|
83 |
+
transformers_version: 4.44.0
|
84 |
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transformers_commit: null
|
85 |
+
accelerate_version: 0.33.0
|
86 |
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accelerate_commit: null
|
87 |
+
diffusers_version: 0.30.0
|
88 |
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diffusers_commit: null
|
89 |
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optimum_version: null
|
90 |
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optimum_commit: null
|
91 |
+
timm_version: null
|
92 |
+
timm_commit: null
|
93 |
+
peft_version: null
|
94 |
+
peft_commit: null
|
sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/.hydra/hydra.yaml
ADDED
@@ -0,0 +1,175 @@
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|
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|
|
|
|
|
|
|
|
1 |
+
hydra:
|
2 |
+
run:
|
3 |
+
dir: /runs/sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46
|
4 |
+
sweep:
|
5 |
+
dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
|
6 |
+
subdir: ${hydra.job.num}
|
7 |
+
launcher:
|
8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
9 |
+
sweeper:
|
10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
11 |
+
max_batch_size: null
|
12 |
+
params: null
|
13 |
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help:
|
14 |
+
app_name: ${hydra.job.name}
|
15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
16 |
+
|
17 |
+
'
|
18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
19 |
+
|
20 |
+
Use --hydra-help to view Hydra specific help
|
21 |
+
|
22 |
+
'
|
23 |
+
template: '${hydra.help.header}
|
24 |
+
|
25 |
+
== Configuration groups ==
|
26 |
+
|
27 |
+
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
|
39 |
+
|
40 |
+
|
41 |
+
${hydra.help.footer}
|
42 |
+
|
43 |
+
'
|
44 |
+
hydra_help:
|
45 |
+
template: 'Hydra (${hydra.runtime.version})
|
46 |
+
|
47 |
+
See https://hydra.cc for more info.
|
48 |
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|
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 |
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hydra_help: ???
|
68 |
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hydra_logging:
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69 |
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version: 1
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70 |
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formatters:
|
71 |
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colorlog:
|
72 |
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(): colorlog.ColoredFormatter
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73 |
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format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
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74 |
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handlers:
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75 |
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console:
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76 |
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class: logging.StreamHandler
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77 |
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formatter: colorlog
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78 |
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stream: ext://sys.stdout
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79 |
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root:
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80 |
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level: INFO
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81 |
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handlers:
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82 |
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- console
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83 |
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disable_existing_loggers: false
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84 |
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job_logging:
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85 |
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version: 1
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86 |
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formatters:
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87 |
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simple:
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88 |
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format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
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89 |
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colorlog:
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90 |
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(): colorlog.ColoredFormatter
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91 |
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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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92 |
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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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100 |
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console:
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101 |
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class: logging.StreamHandler
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102 |
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formatter: colorlog
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103 |
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stream: ext://sys.stdout
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104 |
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file:
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105 |
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class: logging.FileHandler
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106 |
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formatter: simple
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107 |
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filename: ${hydra.job.name}.log
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108 |
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root:
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109 |
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level: INFO
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110 |
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handlers:
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111 |
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- console
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112 |
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- file
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113 |
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114 |
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env: {}
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115 |
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mode: RUN
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116 |
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searchpath: []
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117 |
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callbacks: {}
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118 |
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output_subdir: .hydra
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119 |
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overrides:
|
120 |
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hydra:
|
121 |
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- hydra.run.dir=/runs/sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46
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122 |
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- hydra.mode=RUN
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123 |
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task:
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124 |
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- backend.model=sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
|
125 |
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- backend.processor=sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
|
126 |
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job:
|
127 |
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name: cli
|
128 |
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chdir: true
|
129 |
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override_dirname: backend.model=sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2,backend.processor=sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
|
130 |
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id: ???
|
131 |
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num: ???
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132 |
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config_name: sentence_similarity
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133 |
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env_set:
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134 |
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OVERRIDE_BENCHMARKS: '1'
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135 |
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env_copy: []
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config:
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137 |
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kv_sep: '='
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139 |
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item_sep: ','
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140 |
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exclude_keys: []
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runtime:
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142 |
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version: 1.3.2
|
143 |
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version_base: '1.3'
|
144 |
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cwd: /
|
145 |
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config_sources:
|
146 |
+
- path: hydra.conf
|
147 |
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schema: pkg
|
148 |
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provider: hydra
|
149 |
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- path: optimum_benchmark
|
150 |
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schema: pkg
|
151 |
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provider: main
|
152 |
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- path: hydra_plugins.hydra_colorlog.conf
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153 |
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schema: pkg
|
154 |
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provider: hydra-colorlog
|
155 |
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- path: /optimum-benchmark/examples/energy_star
|
156 |
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schema: file
|
157 |
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provider: command-line
|
158 |
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- path: ''
|
159 |
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schema: structured
|
160 |
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provider: schema
|
161 |
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output_dir: /runs/sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46
|
162 |
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choices:
|
163 |
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benchmark: energy_star
|
164 |
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launcher: process
|
165 |
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backend: pytorch
|
166 |
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hydra/env: default
|
167 |
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hydra/callbacks: null
|
168 |
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hydra/job_logging: colorlog
|
169 |
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hydra/hydra_logging: colorlog
|
170 |
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hydra/hydra_help: default
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171 |
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hydra/help: default
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172 |
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hydra/sweeper: basic
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173 |
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hydra/launcher: basic
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174 |
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hydra/output: default
|
175 |
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verbose: false
|
sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/.hydra/overrides.yaml
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
- backend.model=sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
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2 |
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- backend.processor=sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
|
sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/benchmark_report.json
ADDED
@@ -0,0 +1,107 @@
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},
|
60 |
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{
|
61 |
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"unit": "kWh",
|
62 |
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"cpu": 0.0,
|
63 |
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"ram": 0.0,
|
64 |
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"gpu": 0.0,
|
65 |
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"total": 0.0
|
66 |
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},
|
67 |
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{
|
68 |
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"unit": "kWh",
|
69 |
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"cpu": 6.487486111202292e-05,
|
70 |
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"ram": 6.435263415166126e-07,
|
71 |
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"gpu": 0.00012489759991840543,
|
72 |
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"total": 0.00019041598737194504
|
73 |
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},
|
74 |
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{
|
75 |
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"unit": "kWh",
|
76 |
+
"cpu": 6.302952599819241e-05,
|
77 |
+
"ram": 6.254024038295793e-07,
|
78 |
+
"gpu": 0.0001234812098962479,
|
79 |
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"total": 0.00018713613829826983
|
80 |
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},
|
81 |
+
{
|
82 |
+
"unit": "kWh",
|
83 |
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"cpu": 6.371498831091833e-05,
|
84 |
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"ram": 6.32209506748507e-07,
|
85 |
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"gpu": 0.00012280398713215845,
|
86 |
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"total": 0.0001871511849498254
|
87 |
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}
|
88 |
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]
|
89 |
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},
|
90 |
+
"preprocess": {
|
91 |
+
"memory": null,
|
92 |
+
"latency": null,
|
93 |
+
"throughput": null,
|
94 |
+
"energy": {
|
95 |
+
"unit": "kWh",
|
96 |
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"cpu": 2.4225458650309725e-06,
|
97 |
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"ram": 2.014529724960743e-08,
|
98 |
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"gpu": 3.5700028560015085e-06,
|
99 |
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"total": 6.012694018282088e-06
|
100 |
+
},
|
101 |
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"efficiency": {
|
102 |
+
"unit": "samples/kWh",
|
103 |
+
"value": 166314799.4824646
|
104 |
+
},
|
105 |
+
"measures": null
|
106 |
+
}
|
107 |
+
}
|
sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/cli.log
ADDED
@@ -0,0 +1,113 @@
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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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|
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|
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|
|
|
1 |
+
[2024-12-04 21:40:49,001][launcher][INFO] - ََAllocating process launcher
|
2 |
+
[2024-12-04 21:40:49,001][process][INFO] - + Setting multiprocessing start method to spawn.
|
3 |
+
[2024-12-04 21:40:49,012][device-isolation][INFO] - + Launched device(s) isolation process 242
|
4 |
+
[2024-12-04 21:40:49,013][device-isolation][INFO] - + Isolating device(s) [0]
|
5 |
+
[2024-12-04 21:40:49,018][process][INFO] - + Launched benchmark in isolated process 243.
|
6 |
+
[PROC-0][2024-12-04 21:40:51,760][datasets][INFO] - PyTorch version 2.4.0 available.
|
7 |
+
[PROC-0][2024-12-04 21:40:52,678][backend][INFO] - َAllocating pytorch backend
|
8 |
+
[PROC-0][2024-12-04 21:40:52,679][backend][INFO] - + Setting random seed to 42
|
9 |
+
[PROC-0][2024-12-04 21:40:54,905][pytorch][INFO] - + Using AutoModel class AutoModel
|
10 |
+
[PROC-0][2024-12-04 21:40:54,905][pytorch][INFO] - + Creating backend temporary directory
|
11 |
+
[PROC-0][2024-12-04 21:40:54,905][pytorch][INFO] - + Loading model with random weights
|
12 |
+
[PROC-0][2024-12-04 21:40:54,905][pytorch][INFO] - + Creating no weights model
|
13 |
+
[PROC-0][2024-12-04 21:40:54,905][pytorch][INFO] - + Creating no weights model directory
|
14 |
+
[PROC-0][2024-12-04 21:40:54,905][pytorch][INFO] - + Creating no weights model state dict
|
15 |
+
[PROC-0][2024-12-04 21:40:54,908][pytorch][INFO] - + Saving no weights model safetensors
|
16 |
+
[PROC-0][2024-12-04 21:40:54,908][pytorch][INFO] - + Saving no weights model pretrained config
|
17 |
+
[PROC-0][2024-12-04 21:40:54,909][pytorch][INFO] - + Loading no weights AutoModel
|
18 |
+
[PROC-0][2024-12-04 21:40:54,909][pytorch][INFO] - + Loading model directly on device: cuda
|
19 |
+
[PROC-0][2024-12-04 21:40:55,116][pytorch][INFO] - + Turning on model's eval mode
|
20 |
+
[PROC-0][2024-12-04 21:40:55,122][benchmark][INFO] - Allocating energy_star benchmark
|
21 |
+
[PROC-0][2024-12-04 21:40:55,122][energy_star][INFO] - + Loading raw dataset
|
22 |
+
[PROC-0][2024-12-04 21:40:56,431][energy_star][INFO] - + Initializing Inference report
|
23 |
+
[PROC-0][2024-12-04 21:40:56,431][energy][INFO] - + Tracking GPU energy on devices [0]
|
24 |
+
[PROC-0][2024-12-04 21:41:00,637][energy_star][INFO] - + Preprocessing dataset
|
25 |
+
[PROC-0][2024-12-04 21:41:00,843][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
|
26 |
+
[PROC-0][2024-12-04 21:41:00,843][energy_star][INFO] - + Preparing backend for Inference
|
27 |
+
[PROC-0][2024-12-04 21:41:00,843][energy_star][INFO] - + Initialising dataloader
|
28 |
+
[PROC-0][2024-12-04 21:41:00,843][energy_star][INFO] - + Warming up backend for Inference
|
29 |
+
[PROC-0][2024-12-04 21:41:01,498][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
|
30 |
+
[PROC-0][2024-12-04 21:41:01,498][energy_star][INFO] - + Iteration 1/10
|
31 |
+
[PROC-0][2024-12-04 21:41:07,056][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
32 |
+
[PROC-0][2024-12-04 21:41:07,057][energy_star][INFO] - + Iteration 2/10
|
33 |
+
[PROC-0][2024-12-04 21:41:12,562][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
34 |
+
[PROC-0][2024-12-04 21:41:12,563][energy_star][INFO] - + Iteration 3/10
|
35 |
+
[PROC-0][2024-12-04 21:41:18,071][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
36 |
+
[PROC-0][2024-12-04 21:41:18,071][energy_star][INFO] - + Iteration 4/10
|
37 |
+
[PROC-0][2024-12-04 21:41:23,852][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
38 |
+
[PROC-0][2024-12-04 21:41:23,853][energy_star][INFO] - + Iteration 5/10
|
39 |
+
[PROC-0][2024-12-04 21:41:29,575][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
40 |
+
[PROC-0][2024-12-04 21:41:29,575][energy_star][INFO] - + Iteration 6/10
|
41 |
+
[PROC-0][2024-12-04 21:41:35,002][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
42 |
+
[PROC-0][2024-12-04 21:41:35,003][energy_star][INFO] - + Iteration 7/10
|
43 |
+
[PROC-0][2024-12-04 21:41:40,713][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
44 |
+
[PROC-0][2024-12-04 21:41:40,714][energy_star][INFO] - + Iteration 8/10
|
45 |
+
[PROC-0][2024-12-04 21:41:46,210][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
46 |
+
[PROC-0][2024-12-04 21:41:46,210][energy_star][INFO] - + Iteration 9/10
|
47 |
+
[PROC-0][2024-12-04 21:41:51,550][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
48 |
+
[PROC-0][2024-12-04 21:41:51,550][energy_star][INFO] - + Iteration 10/10
|
49 |
+
[PROC-0][2024-12-04 21:41:56,948][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
|
50 |
+
[PROC-0][2024-12-04 21:41:56,948][energy][INFO] - + forward energy consumption:
|
51 |
+
[PROC-0][2024-12-04 21:41:56,948][energy][INFO] - + CPU: 0.000059 (kWh)
|
52 |
+
[PROC-0][2024-12-04 21:41:56,948][energy][INFO] - + GPU: 0.000112 (kWh)
|
53 |
+
[PROC-0][2024-12-04 21:41:56,948][energy][INFO] - + RAM: 0.000001 (kWh)
|
54 |
+
[PROC-0][2024-12-04 21:41:56,949][energy][INFO] - + total: 0.000171 (kWh)
|
55 |
+
[PROC-0][2024-12-04 21:41:56,949][energy][INFO] - + forward_iteration_1 energy consumption:
|
56 |
+
[PROC-0][2024-12-04 21:41:56,949][energy][INFO] - + CPU: 0.000066 (kWh)
|
57 |
+
[PROC-0][2024-12-04 21:41:56,949][energy][INFO] - + GPU: 0.000124 (kWh)
|
58 |
+
[PROC-0][2024-12-04 21:41:56,949][energy][INFO] - + RAM: 0.000001 (kWh)
|
59 |
+
[PROC-0][2024-12-04 21:41:56,949][energy][INFO] - + total: 0.000191 (kWh)
|
60 |
+
[PROC-0][2024-12-04 21:41:56,949][energy][INFO] - + forward_iteration_2 energy consumption:
|
61 |
+
[PROC-0][2024-12-04 21:41:56,949][energy][INFO] - + CPU: 0.000065 (kWh)
|
62 |
+
[PROC-0][2024-12-04 21:41:56,949][energy][INFO] - + GPU: 0.000122 (kWh)
|
63 |
+
[PROC-0][2024-12-04 21:41:56,949][energy][INFO] - + RAM: 0.000001 (kWh)
|
64 |
+
[PROC-0][2024-12-04 21:41:56,949][energy][INFO] - + total: 0.000188 (kWh)
|
65 |
+
[PROC-0][2024-12-04 21:41:56,949][energy][INFO] - + forward_iteration_3 energy consumption:
|
66 |
+
[PROC-0][2024-12-04 21:41:56,950][energy][INFO] - + CPU: 0.000065 (kWh)
|
67 |
+
[PROC-0][2024-12-04 21:41:56,950][energy][INFO] - + GPU: 0.000122 (kWh)
|
68 |
+
[PROC-0][2024-12-04 21:41:56,950][energy][INFO] - + RAM: 0.000001 (kWh)
|
69 |
+
[PROC-0][2024-12-04 21:41:56,950][energy][INFO] - + total: 0.000188 (kWh)
|
70 |
+
[PROC-0][2024-12-04 21:41:56,950][energy][INFO] - + forward_iteration_4 energy consumption:
|
71 |
+
[PROC-0][2024-12-04 21:41:56,950][energy][INFO] - + CPU: 0.000068 (kWh)
|
72 |
+
[PROC-0][2024-12-04 21:41:56,950][energy][INFO] - + GPU: 0.000128 (kWh)
|
73 |
+
[PROC-0][2024-12-04 21:41:56,950][energy][INFO] - + RAM: 0.000001 (kWh)
|
74 |
+
[PROC-0][2024-12-04 21:41:56,950][energy][INFO] - + total: 0.000197 (kWh)
|
75 |
+
[PROC-0][2024-12-04 21:41:56,950][energy][INFO] - + forward_iteration_5 energy consumption:
|
76 |
+
[PROC-0][2024-12-04 21:41:56,950][energy][INFO] - + CPU: 0.000068 (kWh)
|
77 |
+
[PROC-0][2024-12-04 21:41:56,950][energy][INFO] - + GPU: 0.000128 (kWh)
|
78 |
+
[PROC-0][2024-12-04 21:41:56,951][energy][INFO] - + RAM: 0.000001 (kWh)
|
79 |
+
[PROC-0][2024-12-04 21:41:56,951][energy][INFO] - + total: 0.000196 (kWh)
|
80 |
+
[PROC-0][2024-12-04 21:41:56,951][energy][INFO] - + forward_iteration_6 energy consumption:
|
81 |
+
[PROC-0][2024-12-04 21:41:56,951][energy][INFO] - + CPU: 0.000064 (kWh)
|
82 |
+
[PROC-0][2024-12-04 21:41:56,951][energy][INFO] - + GPU: 0.000123 (kWh)
|
83 |
+
[PROC-0][2024-12-04 21:41:56,951][energy][INFO] - + RAM: 0.000001 (kWh)
|
84 |
+
[PROC-0][2024-12-04 21:41:56,951][energy][INFO] - + total: 0.000187 (kWh)
|
85 |
+
[PROC-0][2024-12-04 21:41:56,951][energy][INFO] - + forward_iteration_7 energy consumption:
|
86 |
+
[PROC-0][2024-12-04 21:41:56,951][energy][INFO] - + CPU: 0.000000 (kWh)
|
87 |
+
[PROC-0][2024-12-04 21:41:56,951][energy][INFO] - + GPU: 0.000000 (kWh)
|
88 |
+
[PROC-0][2024-12-04 21:41:56,951][energy][INFO] - + RAM: 0.000000 (kWh)
|
89 |
+
[PROC-0][2024-12-04 21:41:56,951][energy][INFO] - + total: 0.000000 (kWh)
|
90 |
+
[PROC-0][2024-12-04 21:41:56,952][energy][INFO] - + forward_iteration_8 energy consumption:
|
91 |
+
[PROC-0][2024-12-04 21:41:56,952][energy][INFO] - + CPU: 0.000065 (kWh)
|
92 |
+
[PROC-0][2024-12-04 21:41:56,952][energy][INFO] - + GPU: 0.000125 (kWh)
|
93 |
+
[PROC-0][2024-12-04 21:41:56,952][energy][INFO] - + RAM: 0.000001 (kWh)
|
94 |
+
[PROC-0][2024-12-04 21:41:56,952][energy][INFO] - + total: 0.000190 (kWh)
|
95 |
+
[PROC-0][2024-12-04 21:41:56,952][energy][INFO] - + forward_iteration_9 energy consumption:
|
96 |
+
[PROC-0][2024-12-04 21:41:56,952][energy][INFO] - + CPU: 0.000063 (kWh)
|
97 |
+
[PROC-0][2024-12-04 21:41:56,952][energy][INFO] - + GPU: 0.000123 (kWh)
|
98 |
+
[PROC-0][2024-12-04 21:41:56,952][energy][INFO] - + RAM: 0.000001 (kWh)
|
99 |
+
[PROC-0][2024-12-04 21:41:56,952][energy][INFO] - + total: 0.000187 (kWh)
|
100 |
+
[PROC-0][2024-12-04 21:41:56,952][energy][INFO] - + forward_iteration_10 energy consumption:
|
101 |
+
[PROC-0][2024-12-04 21:41:56,953][energy][INFO] - + CPU: 0.000064 (kWh)
|
102 |
+
[PROC-0][2024-12-04 21:41:56,953][energy][INFO] - + GPU: 0.000123 (kWh)
|
103 |
+
[PROC-0][2024-12-04 21:41:56,953][energy][INFO] - + RAM: 0.000001 (kWh)
|
104 |
+
[PROC-0][2024-12-04 21:41:56,953][energy][INFO] - + total: 0.000187 (kWh)
|
105 |
+
[PROC-0][2024-12-04 21:41:56,953][energy][INFO] - + preprocess energy consumption:
|
106 |
+
[PROC-0][2024-12-04 21:41:56,953][energy][INFO] - + CPU: 0.000002 (kWh)
|
107 |
+
[PROC-0][2024-12-04 21:41:56,953][energy][INFO] - + GPU: 0.000004 (kWh)
|
108 |
+
[PROC-0][2024-12-04 21:41:56,953][energy][INFO] - + RAM: 0.000000 (kWh)
|
109 |
+
[PROC-0][2024-12-04 21:41:56,953][energy][INFO] - + total: 0.000006 (kWh)
|
110 |
+
[PROC-0][2024-12-04 21:41:56,953][energy][INFO] - + forward energy efficiency: 5841080.015430 (samples/kWh)
|
111 |
+
[PROC-0][2024-12-04 21:41:56,953][energy][INFO] - + preprocess energy efficiency: 166314799.482465 (samples/kWh)
|
112 |
+
[2024-12-04 21:41:57,805][device-isolation][INFO] - + Closing device(s) isolation process...
|
113 |
+
[2024-12-04 21:41:57,852][datasets][INFO] - PyTorch version 2.4.0 available.
|
sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/error.log
ADDED
@@ -0,0 +1,178 @@
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0 |
0%| | 0/1000 [00:00<?, ?it/s]
|
1 |
2%|▏ | 19/1000 [00:00<00:05, 183.18it/s]
|
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4%|▍ | 38/1000 [00:00<00:05, 184.86it/s]
|
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6%|▌ | 57/1000 [00:00<00:05, 185.47it/s]
|
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8%|▊ | 76/1000 [00:00<00:05, 183.12it/s]
|
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10%|▉ | 95/1000 [00:00<00:04, 181.29it/s]
|
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11%|█▏ | 114/1000 [00:00<00:04, 180.27it/s]
|
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13%|█▎ | 133/1000 [00:00<00:04, 179.63it/s]
|
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15%|█▌ | 151/1000 [00:00<00:04, 179.23it/s]
|
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17%|█▋ | 169/1000 [00:00<00:04, 179.08it/s]
|
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19%|█▊ | 187/1000 [00:01<00:04, 179.06it/s]
|
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21%|██ | 206/1000 [00:01<00:04, 179.67it/s]
|
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22%|██▎ | 225/1000 [00:01<00:04, 180.16it/s]
|
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24%|██▍ | 244/1000 [00:01<00:04, 179.57it/s]
|
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26%|██▌ | 262/1000 [00:01<00:04, 179.38it/s]
|
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28%|██▊ | 280/1000 [00:01<00:04, 179.33it/s]
|
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30%|██▉ | 298/1000 [00:01<00:03, 179.13it/s]
|
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32%|███▏ | 316/1000 [00:01<00:03, 179.11it/s]
|
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33%|███▎ | 334/1000 [00:01<00:03, 178.93it/s]
|
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35%|███▌ | 352/1000 [00:01<00:03, 178.66it/s]
|
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37%|███▋ | 370/1000 [00:02<00:03, 178.65it/s]
|
21 |
39%|███▉ | 388/1000 [00:02<00:03, 178.69it/s]
|
22 |
41%|████ | 406/1000 [00:02<00:03, 178.64it/s]
|
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42%|████▏ | 424/1000 [00:02<00:03, 178.45it/s]
|
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44%|████▍ | 442/1000 [00:02<00:03, 178.63it/s]
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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 @ 21:40:56] [setup] RAM Tracking...
|
11 |
+
[codecarbon INFO @ 21:40:56] [setup] GPU Tracking...
|
12 |
+
[codecarbon INFO @ 21:40:56] Tracking Nvidia GPU via pynvml
|
13 |
+
[codecarbon DEBUG @ 21:40:56] GPU available. Starting setup
|
14 |
+
[codecarbon INFO @ 21:40:56] [setup] CPU Tracking...
|
15 |
+
[codecarbon DEBUG @ 21:40:56] Not using PowerGadget, an exception occurred while instantiating IntelPowerGadget : Platform not supported by Intel Power Gadget
|
16 |
+
[codecarbon DEBUG @ 21:40:56] 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 @ 21:40:56] Not using PowerMetrics, an exception occurred while instantiating Powermetrics : Platform not supported by Powermetrics
|
18 |
+
[codecarbon WARNING @ 21:40:56] No CPU tracking mode found. Falling back on CPU constant mode.
|
19 |
+
[codecarbon WARNING @ 21:40:57] We saw that you have a AMD EPYC 7R32 but we don't know it. Please contact us.
|
20 |
+
[codecarbon INFO @ 21:40:57] CPU Model on constant consumption mode: AMD EPYC 7R32
|
21 |
+
[codecarbon INFO @ 21:40:57] >>> Tracker's metadata:
|
22 |
+
[codecarbon INFO @ 21:40:57] Platform system: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
|
23 |
+
[codecarbon INFO @ 21:40:57] Python version: 3.9.20
|
24 |
+
[codecarbon INFO @ 21:40:57] CodeCarbon version: 2.5.1
|
25 |
+
[codecarbon INFO @ 21:40:57] Available RAM : 186.705 GB
|
26 |
+
[codecarbon INFO @ 21:40:57] CPU count: 48
|
27 |
+
[codecarbon INFO @ 21:40:57] CPU model: AMD EPYC 7R32
|
28 |
+
[codecarbon INFO @ 21:40:57] GPU count: 1
|
29 |
+
[codecarbon INFO @ 21:40:57] GPU model: 1 x NVIDIA A10G
|
30 |
+
[codecarbon DEBUG @ 21:40:58] Not running on AWS
|
31 |
+
[codecarbon DEBUG @ 21:40:59] Not running on Azure
|
32 |
+
[codecarbon DEBUG @ 21:41:00] Not running on GCP
|
33 |
+
[codecarbon INFO @ 21:41:00] Saving emissions data to file /runs/sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/codecarbon.csv
|
34 |
+
[codecarbon DEBUG @ 21:41:00] EmissionsData(timestamp='2024-12-04T21:41:00', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=0.002095217991154641, 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 @ 21:41:00] Energy consumed for RAM : 0.000000 kWh. RAM Power : 0.358670711517334 W
|
38 |
+
[codecarbon DEBUG @ 21:41:00] RAM : 0.36 W during 0.20 s [measurement time: 0.0005]
|
39 |
+
[codecarbon INFO @ 21:41:00] Energy consumed for all GPUs : 0.000004 kWh. Total GPU Power : 63.313183121484805 W
|
40 |
+
[codecarbon DEBUG @ 21:41:00] GPU : 63.31 W during 0.20 s [measurement time: 0.0022]
|
41 |
+
[codecarbon INFO @ 21:41:00] Energy consumed for all CPUs : 0.000002 kWh. Total CPU Power : 42.5 W
|
42 |
+
[codecarbon DEBUG @ 21:41:00] CPU : 42.50 W during 0.21 s [measurement time: 0.0000]
|
43 |
+
[codecarbon INFO @ 21:41:00] 0.000006 kWh of electricity used since the beginning.
|
44 |
+
[codecarbon DEBUG @ 21:41:00] last_duration=0.20219684799667448
|
45 |
+
------------------------
|
46 |
+
[codecarbon DEBUG @ 21:41:00] EmissionsData(timestamp='2024-12-04T21:41:00', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=0.20531185902655125, emissions=2.2194920658859325e-06, emissions_rate=1.0810345181273257e-05, cpu_power=42.5, gpu_power=63.313183121484805, ram_power=0.358670711517334, cpu_energy=2.4225458650309725e-06, gpu_energy=3.5700028560015085e-06, ram_energy=2.014529724960743e-08, energy_consumed=6.012694018282088e-06, 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 @ 21:41:01] EmissionsData(timestamp='2024-12-04T21:41:01', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=0.00529201200697571, emissions=2.2194920658859325e-06, emissions_rate=0.0004194042007010359, cpu_power=42.5, gpu_power=63.313183121484805, ram_power=0.358670711517334, cpu_energy=2.4225458650309725e-06, gpu_energy=3.5700028560015085e-06, ram_energy=2.014529724960743e-08, energy_consumed=6.012694018282088e-06, 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)
|
48 |
+
|
49 |
0%| | 0/1000 [00:00<?, ?it/s]
|
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2%|▏ | 19/1000 [00:00<00:05, 183.18it/s]
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4%|▍ | 38/1000 [00:00<00:05, 184.86it/s]
|
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6%|▌ | 57/1000 [00:00<00:05, 185.47it/s]
|
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8%|▊ | 76/1000 [00:00<00:05, 183.12it/s]
|
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10%|▉ | 95/1000 [00:00<00:04, 181.29it/s]
|
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11%|█▏ | 114/1000 [00:00<00:04, 180.27it/s]
|
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13%|█▎ | 133/1000 [00:00<00:04, 179.63it/s]
|
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15%|█▌ | 151/1000 [00:00<00:04, 179.23it/s]
|
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17%|█▋ | 169/1000 [00:00<00:04, 179.08it/s]
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19%|█▊ | 187/1000 [00:01<00:04, 179.06it/s]
|
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21%|██ | 206/1000 [00:01<00:04, 179.67it/s]
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22%|██▎ | 225/1000 [00:01<00:04, 180.16it/s]
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24%|██▍ | 244/1000 [00:01<00:04, 179.57it/s]
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39%|███▉ | 388/1000 [00:02<00:03, 178.69it/s]
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48%|████▊ | 478/1000 [00:02<00:02, 178.65it/s]
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50%|████▉ | 496/1000 [00:02<00:02, 178.63it/s]
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73%|███████▎ | 731/1000 [00:04<00:01, 178.40it/s]
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75%|███████▍ | 749/1000 [00:04<00:01, 176.99it/s]
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77%|███████▋ | 767/1000 [00:04<00:01, 177.49it/s]
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|
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80%|████████ | 804/1000 [00:04<00:01, 179.91it/s]
|
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82%|████████▏ | 823/1000 [00:04<00:00, 181.87it/s]
|
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84%|████████▍ | 842/1000 [00:04<00:00, 182.38it/s]
|
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86%|████████▌ | 861/1000 [00:04<00:00, 181.01it/s]
|
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88%|████████▊ | 880/1000 [00:04<00:00, 182.45it/s]
|
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90%|████████▉ | 899/1000 [00:05<00:00, 182.38it/s]
|
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92%|█████████▏| 918/1000 [00:05<00:00, 183.13it/s]
|
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94%|█████████▎| 937/1000 [00:05<00:00, 182.94it/s]
|
101 |
96%|█████████▌| 956/1000 [00:05<00:00, 183.62it/s]
|
102 |
98%|█████████▊| 975/1000 [00:05<00:00, 184.69it/s]
|
103 |
99%|█████████▉| 994/1000 [00:05<00:00, 185.45it/s]
|
104 |
+
[codecarbon WARNING @ 21:41:07] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
105 |
+
[codecarbon INFO @ 21:41:07] Energy consumed for RAM : 0.000001 kWh. RAM Power : 0.4217991828918457 W
|
106 |
+
[codecarbon DEBUG @ 21:41:07] RAM : 0.42 W during 5.55 s [measurement time: 0.0004]
|
107 |
+
[codecarbon INFO @ 21:41:07] Energy consumed for all GPUs : 0.000128 kWh. Total GPU Power : 80.5587352712058 W
|
108 |
+
[codecarbon DEBUG @ 21:41:07] GPU : 80.56 W during 5.56 s [measurement time: 0.0023]
|
109 |
+
[codecarbon INFO @ 21:41:07] Energy consumed for all CPUs : 0.000068 kWh. Total CPU Power : 42.5 W
|
110 |
+
[codecarbon DEBUG @ 21:41:07] CPU : 42.50 W during 5.56 s [measurement time: 0.0000]
|
111 |
+
[codecarbon INFO @ 21:41:07] 0.000197 kWh of electricity used since the beginning.
|
112 |
+
[codecarbon DEBUG @ 21:41:07] last_duration=5.554333877982572
|
113 |
+
------------------------
|
114 |
+
[codecarbon DEBUG @ 21:41:07] EmissionsData(timestamp='2024-12-04T21:41:07', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=5.557659258018248, emissions=7.25665004257193e-05, emissions_rate=1.305702581910268e-05, cpu_power=42.5, gpu_power=80.5587352712058, ram_power=0.4217991828918457, cpu_energy=6.803259559953101e-05, gpu_energy=0.0001278820467502939, ram_energy=6.709502475631516e-07, energy_consumed=0.00019658559259738806, 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)
|
115 |
+
[codecarbon DEBUG @ 21:41:07] EmissionsData(timestamp='2024-12-04T21:41:07', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=0.005300023010931909, emissions=7.25665004257193e-05, emissions_rate=0.013691733087958773, cpu_power=42.5, gpu_power=80.5587352712058, ram_power=0.4217991828918457, cpu_energy=6.803259559953101e-05, gpu_energy=0.0001278820467502939, ram_energy=6.709502475631516e-07, energy_consumed=0.00019658559259738806, 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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|
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|
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|
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|
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91%|█████████ | 909/1000 [00:04<00:00, 180.08it/s]
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95%|█████████▍| 947/1000 [00:05<00:00, 178.92it/s]
|
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97%|█████████▋| 966/1000 [00:05<00:00, 179.47it/s]
|
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98%|█████████▊| 985/1000 [00:05<00:00, 181.49it/s]
|
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+
[codecarbon WARNING @ 21:41:12] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
171 |
+
[codecarbon INFO @ 21:41:12] Energy consumed for RAM : 0.000001 kWh. RAM Power : 0.42191505432128906 W
|
172 |
+
[codecarbon DEBUG @ 21:41:12] RAM : 0.42 W during 5.50 s [measurement time: 0.0004]
|
173 |
+
[codecarbon INFO @ 21:41:12] Energy consumed for all GPUs : 0.000250 kWh. Total GPU Power : 80.02536311863172 W
|
174 |
+
[codecarbon DEBUG @ 21:41:12] GPU : 80.03 W during 5.50 s [measurement time: 0.0057]
|
175 |
+
[codecarbon INFO @ 21:41:12] Energy consumed for all CPUs : 0.000133 kWh. Total CPU Power : 42.5 W
|
176 |
+
[codecarbon DEBUG @ 21:41:12] CPU : 42.50 W during 5.50 s [measurement time: 0.0000]
|
177 |
+
[codecarbon INFO @ 21:41:12] 0.000384 kWh of electricity used since the beginning.
|
178 |
+
[codecarbon DEBUG @ 21:41:12] last_duration=5.4962086220039055
|
179 |
+
------------------------
|
180 |
+
[codecarbon DEBUG @ 21:41:12] EmissionsData(timestamp='2024-12-04T21:41:12', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=5.502865254005883, emissions=0.00014189053092958443, emissions_rate=2.5784845599534417e-05, cpu_power=42.5, gpu_power=80.02536311863172, ram_power=0.42191505432128906, cpu_energy=0.0001329957828916021, gpu_energy=0.0002500763111727977, ram_energy=1.3151086132727109e-06, energy_consumed=0.00038438720267767253, 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)
|
181 |
+
[codecarbon DEBUG @ 21:41:12] EmissionsData(timestamp='2024-12-04T21:41:12', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=0.0020321760093793273, emissions=0.00014189053092958443, emissions_rate=0.06982196929532744, cpu_power=42.5, gpu_power=80.02536311863172, ram_power=0.42191505432128906, cpu_energy=0.0001329957828916021, gpu_energy=0.0002500763111727977, ram_energy=1.3151086132727109e-06, energy_consumed=0.00038438720267767253, 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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|
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|
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|
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|
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81%|████████▏ | 813/1000 [00:04<00:01, 184.23it/s]
|
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83%|████████▎ | 832/1000 [00:04<00:00, 185.09it/s]
|
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85%|████████▌ | 851/1000 [00:04<00:00, 184.55it/s]
|
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87%|████████▋ | 870/1000 [00:04<00:00, 183.11it/s]
|
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89%|████████▉ | 889/1000 [00:04<00:00, 182.10it/s]
|
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91%|█████████ | 908/1000 [00:04<00:00, 181.38it/s]
|
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93%|█████████▎| 927/1000 [00:05<00:00, 179.64it/s]
|
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94%|█████████▍| 945/1000 [00:05<00:00, 179.18it/s]
|
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96%|█████████▋| 964/1000 [00:05<00:00, 180.69it/s]
|
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98%|█████████▊| 983/1000 [00:05<00:00, 181.44it/s]
|
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+
[codecarbon WARNING @ 21:41:18] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
237 |
+
[codecarbon INFO @ 21:41:18] Energy consumed for RAM : 0.000002 kWh. RAM Power : 0.4219307899475098 W
|
238 |
+
[codecarbon DEBUG @ 21:41:18] RAM : 0.42 W during 5.50 s [measurement time: 0.0005]
|
239 |
+
[codecarbon INFO @ 21:41:18] Energy consumed for all GPUs : 0.000373 kWh. Total GPU Power : 80.0877431989967 W
|
240 |
+
[codecarbon DEBUG @ 21:41:18] GPU : 80.09 W during 5.50 s [measurement time: 0.0023]
|
241 |
+
[codecarbon INFO @ 21:41:18] Energy consumed for all CPUs : 0.000198 kWh. Total CPU Power : 42.5 W
|
242 |
+
[codecarbon DEBUG @ 21:41:18] CPU : 42.50 W during 5.51 s [measurement time: 0.0000]
|
243 |
+
[codecarbon INFO @ 21:41:18] 0.000573 kWh of electricity used since the beginning.
|
244 |
+
[codecarbon DEBUG @ 21:41:18] last_duration=5.503680415975396
|
245 |
+
------------------------
|
246 |
+
[codecarbon DEBUG @ 21:41:18] EmissionsData(timestamp='2024-12-04T21:41:18', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=5.5071164420223795, emissions=0.00021133107931143805, emissions_rate=3.837418030584276e-05, cpu_power=42.5, gpu_power=80.0877431989967, ram_power=0.4219307899475098, cpu_energy=0.0001980087208722883, gpu_energy=0.0003725355758064097, ram_energy=1.960167736127847e-06, energy_consumed=0.0005725044644148259, 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)
|
247 |
+
[codecarbon DEBUG @ 21:41:18] EmissionsData(timestamp='2024-12-04T21:41:18', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=0.006641042011324316, emissions=0.00021133107931143805, emissions_rate=0.031821975971703824, cpu_power=42.5, gpu_power=80.0877431989967, ram_power=0.4219307899475098, cpu_energy=0.0001980087208722883, gpu_energy=0.0003725355758064097, ram_energy=1.960167736127847e-06, energy_consumed=0.0005725044644148259, 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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|
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0%| | 0/1000 [00:00<?, ?it/s]
|
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2%|▏ | 15/1000 [00:00<00:06, 141.21it/s]
|
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3%|▎ | 31/1000 [00:00<00:06, 150.83it/s]
|
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5%|▍ | 49/1000 [00:00<00:05, 161.64it/s]
|
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7%|▋ | 67/1000 [00:00<00:05, 165.29it/s]
|
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8%|▊ | 85/1000 [00:00<00:05, 168.63it/s]
|
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10%|█ | 103/1000 [00:00<00:05, 170.76it/s]
|
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12%|█▏ | 121/1000 [00:00<00:05, 172.00it/s]
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|
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97%|█████████▋| 969/1000 [00:05<00:00, 173.69it/s]
|
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99%|█████████▊| 987/1000 [00:05<00:00, 166.55it/s]
|
305 |
+
[codecarbon WARNING @ 21:41:23] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
306 |
+
[codecarbon INFO @ 21:41:23] Energy consumed for RAM : 0.000003 kWh. RAM Power : 0.421933650970459 W
|
307 |
+
[codecarbon DEBUG @ 21:41:23] RAM : 0.42 W during 5.78 s [measurement time: 0.0004]
|
308 |
+
[codecarbon INFO @ 21:41:23] Energy consumed for all GPUs : 0.000501 kWh. Total GPU Power : 79.87532674888328 W
|
309 |
+
[codecarbon DEBUG @ 21:41:23] GPU : 79.88 W during 5.78 s [measurement time: 0.0023]
|
310 |
+
[codecarbon INFO @ 21:41:23] Energy consumed for all CPUs : 0.000266 kWh. Total CPU Power : 42.5 W
|
311 |
+
[codecarbon DEBUG @ 21:41:23] CPU : 42.50 W during 5.78 s [measurement time: 0.0000]
|
312 |
+
[codecarbon INFO @ 21:41:23] 0.000770 kWh of electricity used since the beginning.
|
313 |
+
[codecarbon DEBUG @ 21:41:23] last_duration=5.7772260020137765
|
314 |
+
------------------------
|
315 |
+
[codecarbon DEBUG @ 21:41:23] EmissionsData(timestamp='2024-12-04T21:41:23', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=5.780409655009862, emissions=0.0002840937397998374, emissions_rate=4.9147682734495175e-05, cpu_power=42.5, gpu_power=79.87532674888328, ram_power=0.421933650970459, cpu_energy=0.0002662484930160847, gpu_energy=0.0005007356783659489, ram_energy=2.637291195278228e-06, energy_consumed=0.0007696214625773118, 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)
|
316 |
+
[codecarbon DEBUG @ 21:41:23] EmissionsData(timestamp='2024-12-04T21:41:23', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=0.005203137989155948, emissions=0.0002840937397998374, emissions_rate=0.05460046233483095, cpu_power=42.5, gpu_power=79.87532674888328, ram_power=0.421933650970459, cpu_energy=0.0002662484930160847, gpu_energy=0.0005007356783659489, ram_energy=2.637291195278228e-06, energy_consumed=0.0007696214625773118, 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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+
|
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|
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77%|███████▋ | 774/1000 [00:04<00:01, 182.55it/s]
|
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|
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81%|████████ | 812/1000 [00:04<00:01, 180.78it/s]
|
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83%|████████▎ | 831/1000 [00:04<00:00, 181.70it/s]
|
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85%|████████▌ | 850/1000 [00:04<00:00, 180.47it/s]
|
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87%|████████▋ | 869/1000 [00:04<00:00, 178.94it/s]
|
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89%|████████▊ | 887/1000 [00:05<00:00, 171.37it/s]
|
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91%|█████████ | 906/1000 [00:05<00:00, 175.29it/s]
|
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92%|█████████▎| 925/1000 [00:05<00:00, 178.53it/s]
|
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94%|█████████▍| 944/1000 [00:05<00:00, 179.80it/s]
|
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96%|█████████▋| 963/1000 [00:05<00:00, 181.32it/s]
|
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98%|█████████▊| 982/1000 [00:05<00:00, 181.69it/s]
|
372 |
+
[codecarbon WARNING @ 21:41:29] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
373 |
+
[codecarbon INFO @ 21:41:29] Energy consumed for RAM : 0.000003 kWh. RAM Power : 0.421933650970459 W
|
374 |
+
[codecarbon DEBUG @ 21:41:29] RAM : 0.42 W during 5.72 s [measurement time: 0.0004]
|
375 |
+
[codecarbon INFO @ 21:41:29] Energy consumed for all GPUs : 0.000629 kWh. Total GPU Power : 80.62234383570966 W
|
376 |
+
[codecarbon DEBUG @ 21:41:29] GPU : 80.62 W during 5.72 s [measurement time: 0.0059]
|
377 |
+
[codecarbon INFO @ 21:41:29] Energy consumed for all CPUs : 0.000334 kWh. Total CPU Power : 42.5 W
|
378 |
+
[codecarbon DEBUG @ 21:41:29] CPU : 42.50 W during 5.72 s [measurement time: 0.0000]
|
379 |
+
[codecarbon INFO @ 21:41:29] 0.000966 kWh of electricity used since the beginning.
|
380 |
+
[codecarbon DEBUG @ 21:41:29] last_duration=5.714988129970152
|
381 |
+
------------------------
|
382 |
+
[codecarbon DEBUG @ 21:41:29] EmissionsData(timestamp='2024-12-04T21:41:29', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=5.7217791639850475, emissions=0.00035652631813954327, emissions_rate=6.23103947079344e-05, cpu_power=42.5, gpu_power=80.62234383570966, ram_power=0.421933650970459, cpu_energy=0.0003337960765023228, gpu_energy=0.0006287410585477105, ram_energy=3.3071197624280633e-06, energy_consumed=0.0009658442548124613, 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)
|
383 |
+
[codecarbon DEBUG @ 21:41:29] EmissionsData(timestamp='2024-12-04T21:41:29', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=0.0020339550101198256, emissions=0.00035652631813954327, emissions_rate=0.17528721941521183, cpu_power=42.5, gpu_power=80.62234383570966, ram_power=0.421933650970459, cpu_energy=0.0003337960765023228, gpu_energy=0.0006287410585477105, ram_energy=3.3071197624280633e-06, energy_consumed=0.0009658442548124613, 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)
|
384 |
+
|
385 |
0%| | 0/1000 [00:00<?, ?it/s]
|
386 |
2%|▏ | 19/1000 [00:00<00:05, 185.38it/s]
|
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4%|▍ | 38/1000 [00:00<00:05, 186.25it/s]
|
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6%|▌ | 57/1000 [00:00<00:05, 186.38it/s]
|
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8%|▊ | 76/1000 [00:00<00:04, 186.51it/s]
|
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10%|▉ | 95/1000 [00:00<00:04, 186.68it/s]
|
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11%|█▏ | 114/1000 [00:00<00:04, 186.81it/s]
|
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13%|█▎ | 133/1000 [00:00<00:04, 185.89it/s]
|
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15%|█▌ | 152/1000 [00:00<00:04, 186.32it/s]
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21%|██ | 209/1000 [00:01<00:04, 176.91it/s]
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34%|███▍ | 341/1000 [00:01<00:03, 183.05it/s]
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51%|█████ | 512/1000 [00:02<00:02, 183.31it/s]
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53%|█████▎ | 531/1000 [00:02<00:02, 184.52it/s]
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55%|█████▌ | 550/1000 [00:02<00:02, 185.48it/s]
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57%|█████▋ | 569/1000 [00:03<00:02, 186.09it/s]
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59%|█████▉ | 588/1000 [00:03<00:02, 186.41it/s]
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61%|██████ | 607/1000 [00:03<00:02, 185.17it/s]
|
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63%|██████▎ | 626/1000 [00:03<00:02, 185.87it/s]
|
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64%|██████▍ | 645/1000 [00:03<00:01, 186.38it/s]
|
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66%|██████▋ | 664/1000 [00:03<00:01, 186.75it/s]
|
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68%|██████▊ | 683/1000 [00:03<00:01, 185.11it/s]
|
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70%|███████ | 702/1000 [00:03<00:01, 184.66it/s]
|
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72%|███████▏ | 721/1000 [00:03<00:01, 185.55it/s]
|
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74%|███████▍ | 740/1000 [00:04<00:01, 186.22it/s]
|
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76%|███████▌ | 759/1000 [00:04<00:01, 186.40it/s]
|
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78%|███████▊ | 778/1000 [00:04<00:01, 186.56it/s]
|
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80%|███████▉ | 797/1000 [00:04<00:01, 186.77it/s]
|
428 |
82%|████████▏ | 816/1000 [00:04<00:00, 186.93it/s]
|
429 |
84%|████████▎ | 835/1000 [00:04<00:00, 187.01it/s]
|
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85%|████████▌ | 854/1000 [00:04<00:00, 186.97it/s]
|
431 |
87%|████████▋ | 873/1000 [00:04<00:00, 185.52it/s]
|
432 |
89%|████████▉ | 892/1000 [00:04<00:00, 185.81it/s]
|
433 |
91%|█████████ | 911/1000 [00:04<00:00, 180.38it/s]
|
434 |
93%|█████████▎| 930/1000 [00:05<00:00, 181.68it/s]
|
435 |
95%|█████████▍| 949/1000 [00:05<00:00, 183.37it/s]
|
436 |
97%|█████████▋| 968/1000 [00:05<00:00, 184.24it/s]
|
437 |
99%|█████████▊| 987/1000 [00:05<00:00, 184.79it/s]
|
438 |
+
[codecarbon WARNING @ 21:41:34] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
439 |
+
[codecarbon INFO @ 21:41:34] Energy consumed for RAM : 0.000004 kWh. RAM Power : 0.4219350814819336 W
|
440 |
+
[codecarbon DEBUG @ 21:41:34] RAM : 0.42 W during 5.42 s [measurement time: 0.0004]
|
441 |
+
[codecarbon INFO @ 21:41:35] Energy consumed for all GPUs : 0.000752 kWh. Total GPU Power : 81.4907511602875 W
|
442 |
+
[codecarbon DEBUG @ 21:41:35] GPU : 81.49 W during 5.42 s [measurement time: 0.0023]
|
443 |
+
[codecarbon INFO @ 21:41:35] Energy consumed for all CPUs : 0.000398 kWh. Total CPU Power : 42.5 W
|
444 |
+
[codecarbon DEBUG @ 21:41:35] CPU : 42.50 W during 5.43 s [measurement time: 0.0000]
|
445 |
+
[codecarbon INFO @ 21:41:35] 0.001153 kWh of electricity used since the beginning.
|
446 |
+
[codecarbon DEBUG @ 21:41:35] last_duration=5.423253223998472
|
447 |
+
------------------------
|
448 |
+
[codecarbon DEBUG @ 21:41:35] EmissionsData(timestamp='2024-12-04T21:41:35', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=5.426443868025672, emissions=0.00042573062954880483, emissions_rate=7.845481127287518e-05, cpu_power=42.5, gpu_power=81.4907511602875, ram_power=0.4219350814819336, cpu_energy=0.00039785707053577226, gpu_energy=0.0007515217123286178, ram_energy=3.942758145850851e-06, energy_consumed=0.0011533215410102409, 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)
|
449 |
+
[codecarbon DEBUG @ 21:41:35] EmissionsData(timestamp='2024-12-04T21:41:35', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=0.002038365986663848, emissions=0.00042573062954880483, emissions_rate=0.20885877822440976, cpu_power=42.5, gpu_power=81.4907511602875, ram_power=0.4219350814819336, cpu_energy=0.00039785707053577226, gpu_energy=0.0007515217123286178, ram_energy=3.942758145850851e-06, energy_consumed=0.0011533215410102409, 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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+
|
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0%| | 0/1000 [00:00<?, ?it/s]
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2%|▏ | 18/1000 [00:00<00:05, 175.00it/s]
|
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4%|▎ | 36/1000 [00:00<00:05, 177.15it/s]
|
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5%|▌ | 54/1000 [00:00<00:05, 176.62it/s]
|
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7%|▋ | 72/1000 [00:00<00:05, 177.01it/s]
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9%|▉ | 90/1000 [00:00<00:05, 177.32it/s]
|
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11%|█ | 108/1000 [00:00<00:05, 177.73it/s]
|
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13%|█▎ | 126/1000 [00:00<00:04, 177.74it/s]
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14%|█▍ | 144/1000 [00:00<00:04, 178.04it/s]
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16%|█▌ | 162/1000 [00:00<00:04, 177.39it/s]
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18%|█▊ | 180/1000 [00:01<00:04, 177.32it/s]
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20%|█▉ | 198/1000 [00:01<00:04, 177.20it/s]
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58%|█████▊ | 576/1000 [00:03<00:02, 174.89it/s]
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61%|██████ | 612/1000 [00:03<00:02, 174.68it/s]
|
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63%|██████▎ | 630/1000 [00:03<00:02, 174.90it/s]
|
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65%|██████▍ | 648/1000 [00:03<00:02, 175.07it/s]
|
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67%|██████▋ | 666/1000 [00:03<00:01, 175.18it/s]
|
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68%|██████▊ | 684/1000 [00:03<00:01, 175.22it/s]
|
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70%|███████ | 702/1000 [00:04<00:01, 174.80it/s]
|
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72%|███████▏ | 720/1000 [00:04<00:01, 175.15it/s]
|
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74%|███████▍ | 738/1000 [00:04<00:01, 175.10it/s]
|
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76%|███████▌ | 756/1000 [00:04<00:01, 174.42it/s]
|
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77%|███████▋ | 774/1000 [00:04<00:01, 174.69it/s]
|
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79%|███████▉ | 792/1000 [00:04<00:01, 174.59it/s]
|
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81%|████████ | 810/1000 [00:04<00:01, 174.57it/s]
|
497 |
83%|█��██████▎ | 828/1000 [00:04<00:00, 174.60it/s]
|
498 |
85%|████████▍ | 846/1000 [00:04<00:00, 174.89it/s]
|
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86%|████████▋ | 864/1000 [00:04<00:00, 175.16it/s]
|
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88%|████████▊ | 882/1000 [00:05<00:00, 174.68it/s]
|
501 |
90%|█████████ | 900/1000 [00:05<00:00, 174.96it/s]
|
502 |
92%|█████████▏| 918/1000 [00:05<00:00, 175.01it/s]
|
503 |
94%|█████████▎| 936/1000 [00:05<00:00, 175.12it/s]
|
504 |
95%|█████████▌| 954/1000 [00:05<00:00, 175.49it/s]
|
505 |
97%|█████████▋| 972/1000 [00:05<00:00, 175.13it/s]
|
506 |
99%|█████████▉| 990/1000 [00:05<00:00, 175.27it/s]
|
507 |
+
[codecarbon WARNING @ 21:41:40] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
508 |
+
[codecarbon INFO @ 21:41:40] Energy consumed for RAM : 0.000005 kWh. RAM Power : 0.4219350814819336 W
|
509 |
+
[codecarbon DEBUG @ 21:41:40] RAM : 0.42 W during 5.71 s [measurement time: 0.0004]
|
510 |
+
[codecarbon INFO @ 21:41:40] Energy consumed for all GPUs : 0.000880 kWh. Total GPU Power : 80.97259072749019 W
|
511 |
+
[codecarbon DEBUG @ 21:41:40] GPU : 80.97 W during 5.71 s [measurement time: 0.0023]
|
512 |
+
[codecarbon INFO @ 21:41:40] Energy consumed for all CPUs : 0.000465 kWh. Total CPU Power : 42.5 W
|
513 |
+
[codecarbon DEBUG @ 21:41:40] CPU : 42.50 W during 5.71 s [measurement time: 0.0000]
|
514 |
+
[codecarbon INFO @ 21:41:40] 0.001350 kWh of electricity used since the beginning.
|
515 |
+
[codecarbon DEBUG @ 21:41:40] EmissionsData(timestamp='2024-12-04T21:41:40', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=5.709941094974056, emissions=0.0004982483443375706, emissions_rate=8.725980461972427e-05, cpu_power=42.5, gpu_power=80.97259072749019, ram_power=0.4219350814819336, cpu_energy=0.00046526514224654725, gpu_energy=0.0008798982039177616, ram_energy=4.611625174304834e-06, energy_consumed=0.0013497749713386137, 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)
|
516 |
+
[codecarbon INFO @ 21:41:40] 0.012705 g.CO2eq/s mean an estimation of 400.6583086926967 kg.CO2eq/year
|
517 |
+
[codecarbon DEBUG @ 21:41:40] last_duration=5.706764361995738
|
518 |
+
------------------------
|
519 |
+
[codecarbon DEBUG @ 21:41:40] EmissionsData(timestamp='2024-12-04T21:41:40', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=5.710274618992116, emissions=0.0004982483443375706, emissions_rate=8.725470797506288e-05, cpu_power=42.5, gpu_power=80.97259072749019, ram_power=0.4219350814819336, cpu_energy=0.00046526514224654725, gpu_energy=0.0008798982039177616, ram_energy=4.611625174304834e-06, energy_consumed=0.0013497749713386137, 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)
|
520 |
+
[codecarbon DEBUG @ 21:41:40] EmissionsData(timestamp='2024-12-04T21:41:40', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=0.0022437340230681, emissions=0.0004982483443375706, emissions_rate=0.2220621246613989, cpu_power=42.5, gpu_power=80.97259072749019, ram_power=0.4219350814819336, cpu_energy=0.00046526514224654725, gpu_energy=0.0008798982039177616, ram_energy=4.611625174304834e-06, energy_consumed=0.0013497749713386137, 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)
|
521 |
+
|
522 |
0%| | 0/1000 [00:00<?, ?it/s]
|
523 |
2%|▏ | 18/1000 [00:00<00:05, 174.94it/s]
|
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4%|▎ | 36/1000 [00:00<00:05, 175.28it/s]
|
525 |
5%|▌ | 54/1000 [00:00<00:05, 174.07it/s]
|
526 |
7%|▋ | 72/1000 [00:00<00:05, 175.17it/s]
|
527 |
9%|▉ | 90/1000 [00:00<00:05, 175.31it/s]
|
528 |
11%|█ | 108/1000 [00:00<00:05, 175.11it/s]
|
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13%|█▎ | 126/1000 [00:00<00:04, 175.13it/s]
|
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14%|█▍ | 144/1000 [00:00<00:04, 175.25it/s]
|
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16%|█▌ | 162/1000 [00:00<00:04, 175.44it/s]
|
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18%|█▊ | 180/1000 [00:01<00:04, 175.62it/s]
|
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20%|█▉ | 198/1000 [00:01<00:04, 175.43it/s]
|
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22%|██▏ | 216/1000 [00:01<00:04, 175.52it/s]
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23%|██▎ | 234/1000 [00:01<00:04, 174.67it/s]
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25%|██▌ | 252/1000 [00:01<00:04, 174.94it/s]
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27%|██▋ | 270/1000 [00:01<00:04, 175.28it/s]
|
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29%|██▉ | 288/1000 [00:01<00:04, 176.02it/s]
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31%|███ | 306/1000 [00:01<00:03, 175.74it/s]
|
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32%|███▏ | 324/1000 [00:01<00:03, 175.59it/s]
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34%|███▍ | 342/1000 [00:01<00:03, 175.52it/s]
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36%|███▌ | 360/1000 [00:02<00:03, 175.49it/s]
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38%|███▊ | 378/1000 [00:02<00:03, 175.42it/s]
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40%|███▉ | 396/1000 [00:02<00:03, 175.49it/s]
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41%|████▏ | 414/1000 [00:02<00:03, 175.41it/s]
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43%|████▎ | 433/1000 [00:02<00:03, 179.16it/s]
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45%|████▌ | 452/1000 [00:02<00:03, 181.29it/s]
|
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47%|████▋ | 471/1000 [00:02<00:02, 182.89it/s]
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49%|████▉ | 490/1000 [00:02<00:02, 183.97it/s]
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51%|█████ | 509/1000 [00:02<00:02, 183.04it/s]
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53%|█████▎ | 528/1000 [00:02<00:02, 184.04it/s]
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55%|█████▍ | 547/1000 [00:03<00:02, 185.00it/s]
|
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57%|█████▋ | 566/1000 [00:03<00:02, 185.64it/s]
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58%|█████▊ | 585/1000 [00:03<00:02, 185.96it/s]
|
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60%|██████ | 604/1000 [00:03<00:02, 186.63it/s]
|
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62%|██████▏ | 623/1000 [00:03<00:02, 187.17it/s]
|
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64%|██████▍ | 642/1000 [00:03<00:01, 187.29it/s]
|
558 |
66%|██████▌ | 661/1000 [00:03<00:01, 187.35it/s]
|
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68%|██████▊ | 680/1000 [00:03<00:01, 187.43it/s]
|
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70%|██████▉ | 699/1000 [00:03<00:01, 187.36it/s]
|
561 |
72%|███████▏ | 718/1000 [00:03<00:01, 187.24it/s]
|
562 |
74%|███████▎ | 737/1000 [00:04<00:01, 187.64it/s]
|
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76%|███████▌ | 756/1000 [00:04<00:01, 187.54it/s]
|
564 |
78%|███████▊ | 775/1000 [00:04<00:01, 188.03it/s]
|
565 |
79%|███████▉ | 794/1000 [00:04<00:01, 188.13it/s]
|
566 |
81%|████████▏ | 813/1000 [00:04<00:00, 187.74it/s]
|
567 |
83%|████████▎ | 832/1000 [00:04<00:00, 187.94it/s]
|
568 |
85%|████████▌ | 851/1000 [00:04<00:00, 188.52it/s]
|
569 |
87%|████████▋ | 870/1000 [00:04<00:00, 188.64it/s]
|
570 |
89%|████████▉ | 889/1000 [00:04<00:00, 188.13it/s]
|
571 |
91%|█████████ | 908/1000 [00:04<00:00, 187.88it/s]
|
572 |
93%|█████████▎| 927/1000 [00:05<00:00, 187.85it/s]
|
573 |
95%|█████████▍| 946/1000 [00:05<00:00, 187.86it/s]
|
574 |
96%|█████████▋| 965/1000 [00:05<00:00, 188.02it/s]
|
575 |
98%|█████████▊| 984/1000 [00:05<00:00, 187.76it/s]
|
576 |
+
[codecarbon WARNING @ 21:41:46] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
577 |
+
[codecarbon INFO @ 21:41:46] Energy consumed for RAM : 0.000005 kWh. RAM Power : 0.4219350814819336 W
|
578 |
+
[codecarbon DEBUG @ 21:41:46] RAM : 0.42 W during 5.49 s [measurement time: 0.0004]
|
579 |
+
[codecarbon INFO @ 21:41:46] Energy consumed for all GPUs : 0.001005 kWh. Total GPU Power : 81.8805876937801 W
|
580 |
+
[codecarbon DEBUG @ 21:41:46] GPU : 81.88 W during 5.49 s [measurement time: 0.0039]
|
581 |
+
[codecarbon INFO @ 21:41:46] Energy consumed for all CPUs : 0.000530 kWh. Total CPU Power : 42.5 W
|
582 |
+
[codecarbon DEBUG @ 21:41:46] CPU : 42.50 W during 5.50 s [measurement time: 0.0000]
|
583 |
+
[codecarbon INFO @ 21:41:46] 0.001540 kWh of electricity used since the beginning.
|
584 |
+
[codecarbon DEBUG @ 21:41:46] last_duration=5.490556205040775
|
585 |
+
------------------------
|
586 |
+
[codecarbon DEBUG @ 21:41:46] EmissionsData(timestamp='2024-12-04T21:41:46', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=5.495387717033736, emissions=0.0005685374313765645, emissions_rate=0.00010345720095677723, cpu_power=42.5, gpu_power=81.8805876937801, ram_power=0.4219350814819336, cpu_energy=0.0005301400033585702, gpu_energy=0.001004795803836167, ram_energy=5.255151515821446e-06, energy_consumed=0.0015401909587105587, 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)
|
587 |
+
[codecarbon DEBUG @ 21:41:46] EmissionsData(timestamp='2024-12-04T21:41:46', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=0.0020296149887144566, emissions=0.0005685374313765645, emissions_rate=0.28012082810674943, cpu_power=42.5, gpu_power=81.8805876937801, ram_power=0.4219350814819336, cpu_energy=0.0005301400033585702, gpu_energy=0.001004795803836167, ram_energy=5.255151515821446e-06, energy_consumed=0.0015401909587105587, 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)
|
588 |
+
|
589 |
0%| | 0/1000 [00:00<?, ?it/s]
|
590 |
2%|▏ | 19/1000 [00:00<00:05, 185.53it/s]
|
591 |
4%|▍ | 38/1000 [00:00<00:05, 186.24it/s]
|
592 |
6%|▌ | 57/1000 [00:00<00:05, 186.43it/s]
|
593 |
8%|▊ | 76/1000 [00:00<00:04, 186.85it/s]
|
594 |
10%|▉ | 95/1000 [00:00<00:04, 186.92it/s]
|
595 |
11%|█▏ | 114/1000 [00:00<00:04, 187.09it/s]
|
596 |
13%|█▎ | 133/1000 [00:00<00:04, 187.45it/s]
|
597 |
15%|█▌ | 152/1000 [00:00<00:04, 188.08it/s]
|
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17%|█▋ | 171/1000 [00:00<00:04, 188.06it/s]
|
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19%|█▉ | 190/1000 [00:01<00:04, 188.00it/s]
|
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21%|██ | 209/1000 [00:01<00:04, 186.66it/s]
|
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23%|██▎ | 228/1000 [00:01<00:04, 184.45it/s]
|
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25%|██▍ | 247/1000 [00:01<00:04, 183.26it/s]
|
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27%|██▋ | 266/1000 [00:01<00:03, 183.53it/s]
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+
[codecarbon WARNING @ 21:41:51] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
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[codecarbon INFO @ 21:41:51] Energy consumed for RAM : 0.000006 kWh. RAM Power : 0.4219365119934082 W
|
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[codecarbon DEBUG @ 21:41:51] RAM : 0.42 W during 5.34 s [measurement time: 0.0004]
|
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[codecarbon INFO @ 21:41:51] Energy consumed for all GPUs : 0.001128 kWh. Total GPU Power : 83.2974686771808 W
|
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+
[codecarbon DEBUG @ 21:41:51] GPU : 83.30 W during 5.34 s [measurement time: 0.0023]
|
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+
[codecarbon INFO @ 21:41:51] Energy consumed for all CPUs : 0.000593 kWh. Total CPU Power : 42.5 W
|
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[codecarbon DEBUG @ 21:41:51] CPU : 42.50 W during 5.34 s [measurement time: 0.0000]
|
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+
[codecarbon INFO @ 21:41:51] 0.001727 kWh of electricity used since the beginning.
|
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+
[codecarbon DEBUG @ 21:41:51] last_duration=5.335901124984957
|
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+
------------------------
|
652 |
+
[codecarbon DEBUG @ 21:41:51] EmissionsData(timestamp='2024-12-04T21:41:51', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=5.339070877991617, emissions=0.0006376158133681719, emissions_rate=0.00011942448938007394, cpu_power=42.5, gpu_power=83.2974686771808, ram_power=0.4219365119934082, cpu_energy=0.0005931695293567626, gpu_energy=0.001128277013732415, ram_energy=5.880553919651026e-06, energy_consumed=0.0017273270970088286, 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)
|
653 |
+
[codecarbon DEBUG @ 21:41:51] EmissionsData(timestamp='2024-12-04T21:41:51', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=0.002015664998907596, emissions=0.0006376158133681719, emissions_rate=0.3163302501723909, cpu_power=42.5, gpu_power=83.2974686771808, ram_power=0.4219365119934082, cpu_energy=0.0005931695293567626, gpu_energy=0.001128277013732415, ram_energy=5.880553919651026e-06, energy_consumed=0.0017273270970088286, 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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|
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|
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+
[codecarbon WARNING @ 21:41:56] Background scheduler didn't run for a long period (5s), results might be inaccurate
|
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+
[codecarbon INFO @ 21:41:56] Energy consumed for RAM : 0.000007 kWh. RAM Power : 0.4219365119934082 W
|
710 |
+
[codecarbon DEBUG @ 21:41:56] RAM : 0.42 W during 5.39 s [measurement time: 0.0004]
|
711 |
+
[codecarbon INFO @ 21:41:56] Energy consumed for all GPUs : 0.001251 kWh. Total GPU Power : 81.94900456059085 W
|
712 |
+
[codecarbon DEBUG @ 21:41:56] GPU : 81.95 W during 5.39 s [measurement time: 0.0023]
|
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+
[codecarbon INFO @ 21:41:56] Energy consumed for all CPUs : 0.000657 kWh. Total CPU Power : 42.5 W
|
714 |
+
[codecarbon DEBUG @ 21:41:56] CPU : 42.50 W during 5.40 s [measurement time: 0.0000]
|
715 |
+
[codecarbon INFO @ 21:41:56] 0.001914 kWh of electricity used since the beginning.
|
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+
[codecarbon DEBUG @ 21:41:56] last_duration=5.393976785999257
|
717 |
+
------------------------
|
718 |
+
[codecarbon DEBUG @ 21:41:56] EmissionsData(timestamp='2024-12-04T21:41:56', project_name='codecarbon', run_id='67a1e19b-dda1-45b5-badc-b2407c0fbf10', duration=5.397134728031233, emissions=0.0007066997495961405, emissions_rate=0.0001309398014331079, cpu_power=42.5, gpu_power=81.94900456059085, ram_power=0.4219365119934082, cpu_energy=0.0006568845176676809, gpu_energy=0.0012510810008645734, ram_energy=6.5127634263995326e-06, energy_consumed=0.001914478281958654, 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)
|
sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/experiment_config.json
ADDED
@@ -0,0 +1,107 @@
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+
{
|
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+
"experiment_name": "sentence_similarity_udever-bloom-7b1",
|
3 |
+
"backend": {
|
4 |
+
"name": "pytorch",
|
5 |
+
"version": "2.4.0",
|
6 |
+
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
7 |
+
"task": "sentence-similarity",
|
8 |
+
"model": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
|
9 |
+
"processor": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
|
10 |
+
"library": "transformers",
|
11 |
+
"device": "cuda",
|
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"device_ids": "0",
|
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"seed": 42,
|
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|
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|
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"hub_kwargs": {
|
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"revision": "main",
|
18 |
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"force_download": false,
|
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"local_files_only": false,
|
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"trust_remote_code": true
|
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},
|
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|
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|
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|
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|
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"to_bettertransformer": false,
|
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|
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"attn_implementation": null,
|
31 |
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"cache_implementation": null,
|
32 |
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"torch_compile": false,
|
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"torch_compile_config": {},
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"quantization_scheme": null,
|
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"quantization_config": {},
|
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"deepspeed_inference": false,
|
37 |
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"deepspeed_inference_config": {},
|
38 |
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"peft_type": null,
|
39 |
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"peft_config": {}
|
40 |
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},
|
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"launcher": {
|
42 |
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"name": "process",
|
43 |
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"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
|
44 |
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"device_isolation": true,
|
45 |
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"device_isolation_action": "warn",
|
46 |
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"start_method": "spawn"
|
47 |
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},
|
48 |
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"benchmark": {
|
49 |
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"name": "energy_star",
|
50 |
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"_target_": "optimum_benchmark.benchmarks.energy_star.benchmark.EnergyStarBenchmark",
|
51 |
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"dataset_name": "EnergyStarAI/sentence_similarity",
|
52 |
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"dataset_config": "",
|
53 |
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"dataset_split": "train",
|
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"num_samples": 1000,
|
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"input_shapes": {
|
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"batch_size": 1
|
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},
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"text_column_name": "text",
|
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|
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|
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"dataset_prefix2": "",
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"t5_task": "",
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"image_column_name": "image",
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|
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"question_column_name": "question",
|
67 |
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"context_column_name": "context",
|
68 |
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"sentence1_column_name": "sentence1",
|
69 |
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"sentence2_column_name": "sentence2",
|
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"audio_column_name": "audio",
|
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"iterations": 10,
|
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"warmup_runs": 10,
|
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"energy": true,
|
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"forward_kwargs": {},
|
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"generate_kwargs": {},
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"call_kwargs": {}
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},
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"environment": {
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"cpu": " AMD EPYC 7R32",
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"cpu_count": 48,
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"cpu_ram_mb": 200472.73984,
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"system": "Linux",
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"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": [
|
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"NVIDIA A10G"
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],
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"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,
|
100 |
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"optimum_version": null,
|
101 |
+
"optimum_commit": null,
|
102 |
+
"timm_version": null,
|
103 |
+
"timm_commit": null,
|
104 |
+
"peft_version": null,
|
105 |
+
"peft_commit": null
|
106 |
+
}
|
107 |
+
}
|
sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/forward_codecarbon.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"timestamp": "2024-12-04T21:41:56",
|
3 |
+
"project_name": "codecarbon",
|
4 |
+
"run_id": "67a1e19b-dda1-45b5-badc-b2407c0fbf10",
|
5 |
+
"duration": -1732874267.695807,
|
6 |
+
"emissions": 6.908393622796858e-05,
|
7 |
+
"emissions_rate": 1.2804895577066277e-05,
|
8 |
+
"cpu_power": 42.5,
|
9 |
+
"gpu_power": 81.94900456059085,
|
10 |
+
"ram_power": 0.4219365119934082,
|
11 |
+
"cpu_energy": 6.371498831091833e-05,
|
12 |
+
"gpu_energy": 0.00012280398713215845,
|
13 |
+
"ram_energy": 6.32209506748507e-07,
|
14 |
+
"energy_consumed": 0.0001871511849498254,
|
15 |
+
"country_name": "United States",
|
16 |
+
"country_iso_code": "USA",
|
17 |
+
"region": "virginia",
|
18 |
+
"cloud_provider": "",
|
19 |
+
"cloud_region": "",
|
20 |
+
"os": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
|
21 |
+
"python_version": "3.9.20",
|
22 |
+
"codecarbon_version": "2.5.1",
|
23 |
+
"cpu_count": 48,
|
24 |
+
"cpu_model": "AMD EPYC 7R32",
|
25 |
+
"gpu_count": 1,
|
26 |
+
"gpu_model": "1 x NVIDIA A10G",
|
27 |
+
"longitude": -77.4903,
|
28 |
+
"latitude": 39.0469,
|
29 |
+
"ram_total_size": 186.7047882080078,
|
30 |
+
"tracking_mode": "process",
|
31 |
+
"on_cloud": "N",
|
32 |
+
"pue": 1.0
|
33 |
+
}
|
sentence_similarity/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/2024-12-04-21-40-46/preprocess_codecarbon.json
ADDED
@@ -0,0 +1,33 @@
|
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|
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|
|
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|
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|
|
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|
|
|
|
|
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|
|
|
|
|
1 |
+
{
|
2 |
+
"timestamp": "2024-12-04T21:41:00",
|
3 |
+
"project_name": "codecarbon",
|
4 |
+
"run_id": "67a1e19b-dda1-45b5-badc-b2407c0fbf10",
|
5 |
+
"duration": -1732874272.8877585,
|
6 |
+
"emissions": 2.2194920658859325e-06,
|
7 |
+
"emissions_rate": 1.0921802735137906e-05,
|
8 |
+
"cpu_power": 42.5,
|
9 |
+
"gpu_power": 63.313183121484805,
|
10 |
+
"ram_power": 0.358670711517334,
|
11 |
+
"cpu_energy": 2.4225458650309725e-06,
|
12 |
+
"gpu_energy": 3.5700028560015085e-06,
|
13 |
+
"ram_energy": 2.014529724960743e-08,
|
14 |
+
"energy_consumed": 6.012694018282088e-06,
|
15 |
+
"country_name": "United States",
|
16 |
+
"country_iso_code": "USA",
|
17 |
+
"region": "virginia",
|
18 |
+
"cloud_provider": "",
|
19 |
+
"cloud_region": "",
|
20 |
+
"os": "Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35",
|
21 |
+
"python_version": "3.9.20",
|
22 |
+
"codecarbon_version": "2.5.1",
|
23 |
+
"cpu_count": 48,
|
24 |
+
"cpu_model": "AMD EPYC 7R32",
|
25 |
+
"gpu_count": 1,
|
26 |
+
"gpu_model": "1 x NVIDIA A10G",
|
27 |
+
"longitude": -77.4903,
|
28 |
+
"latitude": 39.0469,
|
29 |
+
"ram_total_size": 186.7047882080078,
|
30 |
+
"tracking_mode": "process",
|
31 |
+
"on_cloud": "N",
|
32 |
+
"pue": 1.0
|
33 |
+
}
|
text_generation/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/2024-12-05-00-36-52/.hydra/config.yaml
ADDED
@@ -0,0 +1,96 @@
|
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|
|
|
|
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|
|
|
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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-generation
|
6 |
+
model: bartowski/Meta-Llama-3.1-8B-Instruct-GGUF
|
7 |
+
processor: bartowski/Meta-Llama-3.1-8B-Instruct-GGUF
|
8 |
+
library: null
|
9 |
+
device: cuda
|
10 |
+
device_ids: '0'
|
11 |
+
seed: 42
|
12 |
+
inter_op_num_threads: null
|
13 |
+
intra_op_num_threads: null
|
14 |
+
hub_kwargs: {}
|
15 |
+
no_weights: true
|
16 |
+
device_map: null
|
17 |
+
torch_dtype: null
|
18 |
+
amp_autocast: false
|
19 |
+
amp_dtype: null
|
20 |
+
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: false
|
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_generation
|
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 |
+
max_new_tokens: 10
|
67 |
+
min_new_tokens: 10
|
68 |
+
call_kwargs: {}
|
69 |
+
experiment_name: text_generation
|
70 |
+
environment:
|
71 |
+
cpu: ' AMD EPYC 7R32'
|
72 |
+
cpu_count: 48
|
73 |
+
cpu_ram_mb: 200472.73984
|
74 |
+
system: Linux
|
75 |
+
machine: x86_64
|
76 |
+
platform: Linux-5.10.192-183.736.amzn2.x86_64-x86_64-with-glibc2.35
|
77 |
+
processor: x86_64
|
78 |
+
python_version: 3.9.20
|
79 |
+
gpu:
|
80 |
+
- NVIDIA A10G
|
81 |
+
gpu_count: 1
|
82 |
+
gpu_vram_mb: 24146608128
|
83 |
+
optimum_benchmark_version: 0.2.0
|
84 |
+
optimum_benchmark_commit: null
|
85 |
+
transformers_version: 4.44.0
|
86 |
+
transformers_commit: null
|
87 |
+
accelerate_version: 0.33.0
|
88 |
+
accelerate_commit: null
|
89 |
+
diffusers_version: 0.30.0
|
90 |
+
diffusers_commit: null
|
91 |
+
optimum_version: null
|
92 |
+
optimum_commit: null
|
93 |
+
timm_version: null
|
94 |
+
timm_commit: null
|
95 |
+
peft_version: null
|
96 |
+
peft_commit: null
|
text_generation/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/2024-12-05-00-36-52/.hydra/hydra.yaml
ADDED
@@ -0,0 +1,175 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
hydra:
|
2 |
+
run:
|
3 |
+
dir: /runs/text_generation/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/2024-12-05-00-36-52
|
4 |
+
sweep:
|
5 |
+
dir: sweeps/${experiment_name}/${backend.model}/${now:%Y-%m-%d-%H-%M-%S}
|
6 |
+
subdir: ${hydra.job.num}
|
7 |
+
launcher:
|
8 |
+
_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
|
9 |
+
sweeper:
|
10 |
+
_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
11 |
+
max_batch_size: null
|
12 |
+
params: null
|
13 |
+
help:
|
14 |
+
app_name: ${hydra.job.name}
|
15 |
+
header: '${hydra.help.app_name} is powered by Hydra.
|
16 |
+
|
17 |
+
'
|
18 |
+
footer: 'Powered by Hydra (https://hydra.cc)
|
19 |
+
|
20 |
+
Use --hydra-help to view Hydra specific help
|
21 |
+
|
22 |
+
'
|
23 |
+
template: '${hydra.help.header}
|
24 |
+
|
25 |
+
== Configuration groups ==
|
26 |
+
|
27 |
+
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
|
39 |
+
|
40 |
+
|
41 |
+
${hydra.help.footer}
|
42 |
+
|
43 |
+
'
|
44 |
+
hydra_help:
|
45 |
+
template: 'Hydra (${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
|
70 |
+
formatters:
|
71 |
+
colorlog:
|
72 |
+
(): colorlog.ColoredFormatter
|
73 |
+
format: '[%(cyan)s%(asctime)s%(reset)s][%(purple)sHYDRA%(reset)s] %(message)s'
|
74 |
+
handlers:
|
75 |
+
console:
|
76 |
+
class: logging.StreamHandler
|
77 |
+
formatter: colorlog
|
78 |
+
stream: ext://sys.stdout
|
79 |
+
root:
|
80 |
+
level: INFO
|
81 |
+
handlers:
|
82 |
+
- console
|
83 |
+
disable_existing_loggers: false
|
84 |
+
job_logging:
|
85 |
+
version: 1
|
86 |
+
formatters:
|
87 |
+
simple:
|
88 |
+
format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
89 |
+
colorlog:
|
90 |
+
(): colorlog.ColoredFormatter
|
91 |
+
format: '[%(cyan)s%(asctime)s%(reset)s][%(blue)s%(name)s%(reset)s][%(log_color)s%(levelname)s%(reset)s]
|
92 |
+
- %(message)s'
|
93 |
+
log_colors:
|
94 |
+
DEBUG: purple
|
95 |
+
INFO: green
|
96 |
+
WARNING: yellow
|
97 |
+
ERROR: red
|
98 |
+
CRITICAL: red
|
99 |
+
handlers:
|
100 |
+
console:
|
101 |
+
class: logging.StreamHandler
|
102 |
+
formatter: colorlog
|
103 |
+
stream: ext://sys.stdout
|
104 |
+
file:
|
105 |
+
class: logging.FileHandler
|
106 |
+
formatter: simple
|
107 |
+
filename: ${hydra.job.name}.log
|
108 |
+
root:
|
109 |
+
level: INFO
|
110 |
+
handlers:
|
111 |
+
- console
|
112 |
+
- file
|
113 |
+
disable_existing_loggers: false
|
114 |
+
env: {}
|
115 |
+
mode: RUN
|
116 |
+
searchpath: []
|
117 |
+
callbacks: {}
|
118 |
+
output_subdir: .hydra
|
119 |
+
overrides:
|
120 |
+
hydra:
|
121 |
+
- hydra.run.dir=/runs/text_generation/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/2024-12-05-00-36-52
|
122 |
+
- hydra.mode=RUN
|
123 |
+
task:
|
124 |
+
- backend.model=bartowski/Meta-Llama-3.1-8B-Instruct-GGUF
|
125 |
+
- backend.processor=bartowski/Meta-Llama-3.1-8B-Instruct-GGUF
|
126 |
+
job:
|
127 |
+
name: cli
|
128 |
+
chdir: true
|
129 |
+
override_dirname: backend.model=bartowski/Meta-Llama-3.1-8B-Instruct-GGUF,backend.processor=bartowski/Meta-Llama-3.1-8B-Instruct-GGUF
|
130 |
+
id: ???
|
131 |
+
num: ???
|
132 |
+
config_name: text_generation
|
133 |
+
env_set:
|
134 |
+
OVERRIDE_BENCHMARKS: '1'
|
135 |
+
env_copy: []
|
136 |
+
config:
|
137 |
+
override_dirname:
|
138 |
+
kv_sep: '='
|
139 |
+
item_sep: ','
|
140 |
+
exclude_keys: []
|
141 |
+
runtime:
|
142 |
+
version: 1.3.2
|
143 |
+
version_base: '1.3'
|
144 |
+
cwd: /
|
145 |
+
config_sources:
|
146 |
+
- path: hydra.conf
|
147 |
+
schema: pkg
|
148 |
+
provider: hydra
|
149 |
+
- path: optimum_benchmark
|
150 |
+
schema: pkg
|
151 |
+
provider: main
|
152 |
+
- path: hydra_plugins.hydra_colorlog.conf
|
153 |
+
schema: pkg
|
154 |
+
provider: hydra-colorlog
|
155 |
+
- path: /optimum-benchmark/examples/energy_star
|
156 |
+
schema: file
|
157 |
+
provider: command-line
|
158 |
+
- path: ''
|
159 |
+
schema: structured
|
160 |
+
provider: schema
|
161 |
+
output_dir: /runs/text_generation/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/2024-12-05-00-36-52
|
162 |
+
choices:
|
163 |
+
benchmark: energy_star
|
164 |
+
launcher: process
|
165 |
+
backend: pytorch
|
166 |
+
hydra/env: default
|
167 |
+
hydra/callbacks: null
|
168 |
+
hydra/job_logging: colorlog
|
169 |
+
hydra/hydra_logging: colorlog
|
170 |
+
hydra/hydra_help: default
|
171 |
+
hydra/help: default
|
172 |
+
hydra/sweeper: basic
|
173 |
+
hydra/launcher: basic
|
174 |
+
hydra/output: default
|
175 |
+
verbose: false
|
text_generation/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/2024-12-05-00-36-52/.hydra/overrides.yaml
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
- backend.model=bartowski/Meta-Llama-3.1-8B-Instruct-GGUF
|
2 |
+
- backend.processor=bartowski/Meta-Llama-3.1-8B-Instruct-GGUF
|
text_generation/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/2024-12-05-00-36-52/cli.log
ADDED
File without changes
|
text_generation/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/2024-12-05-00-36-52/error.log
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
Error executing job with overrides: ['backend.model=bartowski/Meta-Llama-3.1-8B-Instruct-GGUF', 'backend.processor=bartowski/Meta-Llama-3.1-8B-Instruct-GGUF']
|
2 |
+
Traceback (most recent call last):
|
3 |
+
File "/optimum-benchmark/optimum_benchmark/cli.py", line 62, in benchmark_cli
|
4 |
+
experiment_config: ExperimentConfig = OmegaConf.to_object(experiment_config)
|
5 |
+
KeyError: 'Could not find the proper library name for bartowski/Meta-Llama-3.1-8B-Instruct-GGUF.'
|
6 |
+
|
7 |
+
Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
|