Hugging Face's logo

Datasets:
AIEnergyScore
/
results_debug

Dataset card Data Studio Files
xet
Community
meg HF Staff commited on
Commit
b4f2bf7
·
verified ·
1 Parent(s): f156bf7

Upload folder using huggingface_hub

Browse files
Files changed (6) hide show
  1. text_classification/lvwerra/distilbert-imdb/.hydra/hydra.yaml +5 -7
  2. text_classification/lvwerra/distilbert-imdb/.hydra/overrides.yaml +1 -2
  3. text_classification/lvwerra/distilbert-imdb/benchmark_report.json +46 -46
  4. text_classification/lvwerra/distilbert-imdb/cli.log +423 -113
  5. text_classification/lvwerra/distilbert-imdb/forward_codecarbon.json +11 -11
  6. text_classification/lvwerra/distilbert-imdb/preprocess_codecarbon.json +11 -11
text_classification/lvwerra/distilbert-imdb/.hydra/hydra.yaml CHANGED
@@ -1,6 +1,6 @@
1
  hydra:
2
  run:
3
- dir: ./runs/text_classification/lvwerra/distilbert-imdb/
4
  sweep:
5
  dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
6
  subdir: ${hydra.job.num}
@@ -118,15 +118,13 @@ hydra:
118
  output_subdir: .hydra
119
  overrides:
120
  hydra:
121
- - hydra.run.dir=./runs/text_classification/lvwerra/distilbert-imdb/
122
  - hydra.mode=RUN
123
- task:
124
- - backend.model=lvwerra/distilbert-imdb
125
- - backend.processor=lvwerra/distilbert-imdb
126
  job:
127
  name: cli
128
  chdir: true
129
- override_dirname: backend.model=lvwerra/distilbert-imdb,backend.processor=lvwerra/distilbert-imdb
130
  id: ???
131
  num: ???
132
  config_name: text_classification
@@ -158,7 +156,7 @@ hydra:
158
  - path: ''
159
  schema: structured
160
  provider: schema
161
- output_dir: /runs/text_classification/lvwerra/distilbert-imdb
162
  choices:
163
  benchmark: energy_star
164
  launcher: process
 
1
  hydra:
2
  run:
3
+ dir: data/runs/text_classification/lvwerra/distilbert-imdb/
4
  sweep:
5
  dir: sweeps/${experiment_name}/${now:%Y-%m-%d-%H-%M-%S}
6
  subdir: ${hydra.job.num}
 
118
  output_subdir: .hydra
119
  overrides:
120
  hydra:
121
+ - hydra.run.dir=data/runs/text_classification/lvwerra/distilbert-imdb/
122
  - hydra.mode=RUN
123
+ task: []
 
 
124
  job:
125
  name: cli
126
  chdir: true
127
+ override_dirname: ''
128
  id: ???
129
  num: ???
130
  config_name: text_classification
 
156
  - path: ''
157
  schema: structured
158
  provider: schema
159
+ output_dir: /data/runs/text_classification/lvwerra/distilbert-imdb
160
  choices:
161
  benchmark: energy_star
162
  launcher: process
text_classification/lvwerra/distilbert-imdb/.hydra/overrides.yaml CHANGED
@@ -1,2 +1 @@
1
- - backend.model=lvwerra/distilbert-imdb
2
- - backend.processor=lvwerra/distilbert-imdb
 
1
+ []
 
text_classification/lvwerra/distilbert-imdb/benchmark_report.json CHANGED
@@ -5,57 +5,57 @@
5
  "throughput": null,
6
  "energy": {
7
  "unit": "kWh",
8
- "cpu": 4.302295295872076e-05,
9
- "ram": 3.4696606225293537e-07,
10
- "gpu": 0.0001694536077849751,
11
- "total": 0.00021282352680594878
12
  },
13
  "efficiency": {
14
  "unit": "samples/kWh",
15
- "value": 4698728.63685693
16
  },
17
  "measures": [
18
  {
19
  "unit": "kWh",
20
- "cpu": 4.829258109811134e-05,
21
- "ram": 3.8941883873596085e-07,
22
- "gpu": 0.00018708848300352798,
23
- "total": 0.0002357704829403753
24
  },
25
  {
26
  "unit": "kWh",
27
- "cpu": 4.794998956583893e-05,
28
- "ram": 3.867016931687321e-07,
29
- "gpu": 0.00018864348424818544,
30
- "total": 0.0002369801755071931
31
  },
32
  {
33
  "unit": "kWh",
34
- "cpu": 4.838587405200896e-05,
35
- "ram": 3.902196119433215e-07,
36
- "gpu": 0.00018687598283362306,
37
- "total": 0.00023565207649757546
38
  },
39
  {
40
  "unit": "kWh",
41
- "cpu": 4.7643815221433915e-05,
42
- "ram": 3.8424200521738664e-07,
43
- "gpu": 0.00018572542635864053,
44
- "total": 0.00023375348358529188
45
  },
46
  {
47
  "unit": "kWh",
48
- "cpu": 4.818755350408739e-05,
49
- "ram": 3.886288459673979e-07,
50
- "gpu": 0.0001913168197198445,
51
- "total": 0.0002398930020698993
52
  },
53
  {
54
  "unit": "kWh",
55
- "cpu": 4.755068919785118e-05,
56
- "ram": 3.8349012789382907e-07,
57
- "gpu": 0.00018756737227576536,
58
- "total": 0.0002355015516015105
59
  },
60
  {
61
  "unit": "kWh",
@@ -66,24 +66,24 @@
66
  },
67
  {
68
  "unit": "kWh",
69
- "cpu": 4.7309525320775314e-05,
70
- "ram": 3.8154366974386643e-07,
71
- "gpu": 0.00018913265130571233,
72
- "total": 0.00023682372029623145
73
  },
74
  {
75
  "unit": "kWh",
76
- "cpu": 4.767883464321332e-05,
77
- "ram": 3.8451451587430033e-07,
78
- "gpu": 0.00018941709597841694,
79
- "total": 0.00023748044513750431
80
  },
81
  {
82
  "unit": "kWh",
83
- "cpu": 4.723066698388722e-05,
84
- "ram": 3.8090131398455894e-07,
85
- "gpu": 0.00018876876212603477,
86
- "total": 0.00023638033042390656
87
  }
88
  ]
89
  },
@@ -93,14 +93,14 @@
93
  "throughput": null,
94
  "energy": {
95
  "unit": "kWh",
96
- "cpu": 5.024156459734918e-06,
97
- "ram": 3.199295043874728e-08,
98
- "gpu": 7.950284137692165e-06,
99
- "total": 1.300643354786583e-05
100
  },
101
  "efficiency": {
102
  "unit": "samples/kWh",
103
- "value": 76885027.4227623
104
  },
105
  "measures": null
106
  }
 
5
  "throughput": null,
6
  "energy": {
7
  "unit": "kWh",
8
+ "cpu": 4.2217974067077905e-05,
9
+ "ram": 3.4266514207536644e-07,
10
+ "gpu": 0.00016691743908938683,
11
+ "total": 0.0002094780782985401
12
  },
13
  "efficiency": {
14
  "unit": "samples/kWh",
15
+ "value": 4773769.208321829
16
  },
17
  "measures": [
18
  {
19
  "unit": "kWh",
20
+ "cpu": 4.712305867267585e-05,
21
+ "ram": 3.8216822757675777e-07,
22
+ "gpu": 0.0001815407007876857,
23
+ "total": 0.0002290459276879383
24
  },
25
  {
26
  "unit": "kWh",
27
+ "cpu": 4.649759695045457e-05,
28
+ "ram": 3.7759060137763195e-07,
29
+ "gpu": 0.00017852986504651724,
30
+ "total": 0.00022540505259834942
31
  },
32
  {
33
  "unit": "kWh",
34
+ "cpu": 4.660298317394335e-05,
35
+ "ram": 3.7828696183161236e-07,
36
+ "gpu": 0.00018714348304760264,
37
+ "total": 0.00023412475318337764
38
  },
39
  {
40
  "unit": "kWh",
41
+ "cpu": 4.666898457540407e-05,
42
+ "ram": 3.788229137558605e-07,
43
+ "gpu": 0.0001820537567538416,
44
+ "total": 0.0002291015642430016
45
  },
46
  {
47
  "unit": "kWh",
48
+ "cpu": 4.666899602715502e-05,
49
+ "ram": 3.786127892940303e-07,
50
+ "gpu": 0.00018817042831420494,
51
+ "total": 0.00023521803713065406
52
  },
53
  {
54
  "unit": "kWh",
55
+ "cpu": 4.71413553121238e-05,
56
+ "ram": 3.8257066211415975e-07,
57
+ "gpu": 0.00018559625958802783,
58
+ "total": 0.0002331201855622657
59
  },
60
  {
61
  "unit": "kWh",
 
66
  },
67
  {
68
  "unit": "kWh",
69
+ "cpu": 4.720459533531942e-05,
70
+ "ram": 3.8334632359225455e-07,
71
+ "gpu": 0.00018755015003968367,
72
+ "total": 0.0002351380916985953
73
  },
74
  {
75
  "unit": "kWh",
76
+ "cpu": 4.7043672874941777e-05,
77
+ "ram": 3.820426281902338e-07,
78
+ "gpu": 0.0001894573737883931,
79
+ "total": 0.00023688308929152514
80
  },
81
  {
82
  "unit": "kWh",
83
+ "cpu": 4.722849774876117e-05,
84
+ "ram": 3.8321031302112333e-07,
85
+ "gpu": 0.00018913237352791157,
86
+ "total": 0.00023674408158969387
87
  }
88
  ]
89
  },
 
93
  "throughput": null,
94
  "energy": {
95
  "unit": "kWh",
96
+ "cpu": 4.999329341282849e-06,
97
+ "ram": 3.206474578014428e-08,
98
+ "gpu": 9.661952173889432e-06,
99
+ "total": 1.4693346260952426e-05
100
  },
101
  "efficiency": {
102
  "unit": "samples/kWh",
103
+ "value": 68058016.3456367
104
  },
105
  "measures": null
106
  }
text_classification/lvwerra/distilbert-imdb/cli.log CHANGED
@@ -1,113 +1,423 @@
1
- [2024-10-03 14:38:50,926][launcher][INFO] - ََAllocating process launcher
2
- [2024-10-03 14:38:50,926][process][INFO] - + Setting multiprocessing start method to spawn.
3
- [2024-10-03 14:38:50,940][device-isolation][INFO] - + Launched device(s) isolation process 446
4
- [2024-10-03 14:38:50,940][device-isolation][INFO] - + Isolating device(s) [0]
5
- [2024-10-03 14:38:50,947][process][INFO] - + Launched benchmark in isolated process 447.
6
- [PROC-0][2024-10-03 14:38:53,493][datasets][INFO] - PyTorch version 2.4.0 available.
7
- [PROC-0][2024-10-03 14:38:54,445][backend][INFO] - َAllocating pytorch backend
8
- [PROC-0][2024-10-03 14:38:54,445][backend][INFO] - + Setting random seed to 42
9
- [PROC-0][2024-10-03 14:38:54,856][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
10
- [PROC-0][2024-10-03 14:38:54,856][pytorch][INFO] - + Creating backend temporary directory
11
- [PROC-0][2024-10-03 14:38:54,856][pytorch][INFO] - + Loading model with random weights
12
- [PROC-0][2024-10-03 14:38:54,856][pytorch][INFO] - + Creating no weights model
13
- [PROC-0][2024-10-03 14:38:54,856][pytorch][INFO] - + Creating no weights model directory
14
- [PROC-0][2024-10-03 14:38:54,856][pytorch][INFO] - + Creating no weights model state dict
15
- [PROC-0][2024-10-03 14:38:54,858][pytorch][INFO] - + Saving no weights model safetensors
16
- [PROC-0][2024-10-03 14:38:54,859][pytorch][INFO] - + Saving no weights model pretrained config
17
- [PROC-0][2024-10-03 14:38:54,860][pytorch][INFO] - + Loading no weights AutoModel
18
- [PROC-0][2024-10-03 14:38:54,860][pytorch][INFO] - + Loading model directly on device: cuda
19
- [PROC-0][2024-10-03 14:38:55,124][pytorch][INFO] - + Turning on model's eval mode
20
- [PROC-0][2024-10-03 14:38:55,130][benchmark][INFO] - Allocating energy_star benchmark
21
- [PROC-0][2024-10-03 14:38:55,130][energy_star][INFO] - + Loading raw dataset
22
- [PROC-0][2024-10-03 14:38:55,950][energy_star][INFO] - + Initializing Inference report
23
- [PROC-0][2024-10-03 14:38:55,950][energy][INFO] - + Tracking GPU energy on devices [0]
24
- [PROC-0][2024-10-03 14:39:00,132][energy_star][INFO] - + Preprocessing dataset
25
- [PROC-0][2024-10-03 14:39:00,558][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
26
- [PROC-0][2024-10-03 14:39:00,559][energy_star][INFO] - + Preparing backend for Inference
27
- [PROC-0][2024-10-03 14:39:00,559][energy_star][INFO] - + Initialising dataloader
28
- [PROC-0][2024-10-03 14:39:00,559][energy_star][INFO] - + Warming up backend for Inference
29
- [PROC-0][2024-10-03 14:39:01,057][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
30
- [PROC-0][2024-10-03 14:39:01,058][energy_star][INFO] - + Iteration 1/10
31
- [PROC-0][2024-10-03 14:39:05,149][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
32
- [PROC-0][2024-10-03 14:39:05,149][energy_star][INFO] - + Iteration 2/10
33
- [PROC-0][2024-10-03 14:39:09,212][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
34
- [PROC-0][2024-10-03 14:39:09,212][energy_star][INFO] - + Iteration 3/10
35
- [PROC-0][2024-10-03 14:39:13,311][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
36
- [PROC-0][2024-10-03 14:39:13,312][energy_star][INFO] - + Iteration 4/10
37
- [PROC-0][2024-10-03 14:39:17,349][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
38
- [PROC-0][2024-10-03 14:39:17,349][energy_star][INFO] - + Iteration 5/10
39
- [PROC-0][2024-10-03 14:39:21,432][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
40
- [PROC-0][2024-10-03 14:39:21,432][energy_star][INFO] - + Iteration 6/10
41
- [PROC-0][2024-10-03 14:39:25,460][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
42
- [PROC-0][2024-10-03 14:39:25,461][energy_star][INFO] - + Iteration 7/10
43
- [PROC-0][2024-10-03 14:39:29,531][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
44
- [PROC-0][2024-10-03 14:39:29,532][energy_star][INFO] - + Iteration 8/10
45
- [PROC-0][2024-10-03 14:39:33,540][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
46
- [PROC-0][2024-10-03 14:39:33,540][energy_star][INFO] - + Iteration 9/10
47
- [PROC-0][2024-10-03 14:39:37,580][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
48
- [PROC-0][2024-10-03 14:39:37,580][energy_star][INFO] - + Iteration 10/10
49
- [PROC-0][2024-10-03 14:39:41,581][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
50
- [PROC-0][2024-10-03 14:39:41,582][energy][INFO] - + forward energy consumption:
51
- [PROC-0][2024-10-03 14:39:41,582][energy][INFO] - + CPU: 0.000043 (kWh)
52
- [PROC-0][2024-10-03 14:39:41,582][energy][INFO] - + GPU: 0.000169 (kWh)
53
- [PROC-0][2024-10-03 14:39:41,582][energy][INFO] - + RAM: 0.000000 (kWh)
54
- [PROC-0][2024-10-03 14:39:41,582][energy][INFO] - + total: 0.000213 (kWh)
55
- [PROC-0][2024-10-03 14:39:41,583][energy][INFO] - + forward_iteration_1 energy consumption:
56
- [PROC-0][2024-10-03 14:39:41,583][energy][INFO] - + CPU: 0.000048 (kWh)
57
- [PROC-0][2024-10-03 14:39:41,583][energy][INFO] - + GPU: 0.000187 (kWh)
58
- [PROC-0][2024-10-03 14:39:41,583][energy][INFO] - + RAM: 0.000000 (kWh)
59
- [PROC-0][2024-10-03 14:39:41,583][energy][INFO] - + total: 0.000236 (kWh)
60
- [PROC-0][2024-10-03 14:39:41,583][energy][INFO] - + forward_iteration_2 energy consumption:
61
- [PROC-0][2024-10-03 14:39:41,583][energy][INFO] - + CPU: 0.000048 (kWh)
62
- [PROC-0][2024-10-03 14:39:41,583][energy][INFO] - + GPU: 0.000189 (kWh)
63
- [PROC-0][2024-10-03 14:39:41,583][energy][INFO] - + RAM: 0.000000 (kWh)
64
- [PROC-0][2024-10-03 14:39:41,584][energy][INFO] - + total: 0.000237 (kWh)
65
- [PROC-0][2024-10-03 14:39:41,584][energy][INFO] - + forward_iteration_3 energy consumption:
66
- [PROC-0][2024-10-03 14:39:41,584][energy][INFO] - + CPU: 0.000048 (kWh)
67
- [PROC-0][2024-10-03 14:39:41,584][energy][INFO] - + GPU: 0.000187 (kWh)
68
- [PROC-0][2024-10-03 14:39:41,584][energy][INFO] - + RAM: 0.000000 (kWh)
69
- [PROC-0][2024-10-03 14:39:41,584][energy][INFO] - + total: 0.000236 (kWh)
70
- [PROC-0][2024-10-03 14:39:41,584][energy][INFO] - + forward_iteration_4 energy consumption:
71
- [PROC-0][2024-10-03 14:39:41,584][energy][INFO] - + CPU: 0.000048 (kWh)
72
- [PROC-0][2024-10-03 14:39:41,584][energy][INFO] - + GPU: 0.000186 (kWh)
73
- [PROC-0][2024-10-03 14:39:41,584][energy][INFO] - + RAM: 0.000000 (kWh)
74
- [PROC-0][2024-10-03 14:39:41,584][energy][INFO] - + total: 0.000234 (kWh)
75
- [PROC-0][2024-10-03 14:39:41,585][energy][INFO] - + forward_iteration_5 energy consumption:
76
- [PROC-0][2024-10-03 14:39:41,585][energy][INFO] - + CPU: 0.000048 (kWh)
77
- [PROC-0][2024-10-03 14:39:41,585][energy][INFO] - + GPU: 0.000191 (kWh)
78
- [PROC-0][2024-10-03 14:39:41,585][energy][INFO] - + RAM: 0.000000 (kWh)
79
- [PROC-0][2024-10-03 14:39:41,585][energy][INFO] - + total: 0.000240 (kWh)
80
- [PROC-0][2024-10-03 14:39:41,585][energy][INFO] - + forward_iteration_6 energy consumption:
81
- [PROC-0][2024-10-03 14:39:41,585][energy][INFO] - + CPU: 0.000048 (kWh)
82
- [PROC-0][2024-10-03 14:39:41,585][energy][INFO] - + GPU: 0.000188 (kWh)
83
- [PROC-0][2024-10-03 14:39:41,585][energy][INFO] - + RAM: 0.000000 (kWh)
84
- [PROC-0][2024-10-03 14:39:41,585][energy][INFO] - + total: 0.000236 (kWh)
85
- [PROC-0][2024-10-03 14:39:41,586][energy][INFO] - + forward_iteration_7 energy consumption:
86
- [PROC-0][2024-10-03 14:39:41,586][energy][INFO] - + CPU: 0.000000 (kWh)
87
- [PROC-0][2024-10-03 14:39:41,586][energy][INFO] - + GPU: 0.000000 (kWh)
88
- [PROC-0][2024-10-03 14:39:41,586][energy][INFO] - + RAM: 0.000000 (kWh)
89
- [PROC-0][2024-10-03 14:39:41,586][energy][INFO] - + total: 0.000000 (kWh)
90
- [PROC-0][2024-10-03 14:39:41,586][energy][INFO] - + forward_iteration_8 energy consumption:
91
- [PROC-0][2024-10-03 14:39:41,586][energy][INFO] - + CPU: 0.000047 (kWh)
92
- [PROC-0][2024-10-03 14:39:41,586][energy][INFO] - + GPU: 0.000189 (kWh)
93
- [PROC-0][2024-10-03 14:39:41,586][energy][INFO] - + RAM: 0.000000 (kWh)
94
- [PROC-0][2024-10-03 14:39:41,586][energy][INFO] - + total: 0.000237 (kWh)
95
- [PROC-0][2024-10-03 14:39:41,587][energy][INFO] - + forward_iteration_9 energy consumption:
96
- [PROC-0][2024-10-03 14:39:41,587][energy][INFO] - + CPU: 0.000048 (kWh)
97
- [PROC-0][2024-10-03 14:39:41,587][energy][INFO] - + GPU: 0.000189 (kWh)
98
- [PROC-0][2024-10-03 14:39:41,587][energy][INFO] - + RAM: 0.000000 (kWh)
99
- [PROC-0][2024-10-03 14:39:41,587][energy][INFO] - + total: 0.000237 (kWh)
100
- [PROC-0][2024-10-03 14:39:41,587][energy][INFO] - + forward_iteration_10 energy consumption:
101
- [PROC-0][2024-10-03 14:39:41,587][energy][INFO] - + CPU: 0.000047 (kWh)
102
- [PROC-0][2024-10-03 14:39:41,587][energy][INFO] - + GPU: 0.000189 (kWh)
103
- [PROC-0][2024-10-03 14:39:41,587][energy][INFO] - + RAM: 0.000000 (kWh)
104
- [PROC-0][2024-10-03 14:39:41,587][energy][INFO] - + total: 0.000236 (kWh)
105
- [PROC-0][2024-10-03 14:39:41,588][energy][INFO] - + preprocess energy consumption:
106
- [PROC-0][2024-10-03 14:39:41,588][energy][INFO] - + CPU: 0.000005 (kWh)
107
- [PROC-0][2024-10-03 14:39:41,588][energy][INFO] - + GPU: 0.000008 (kWh)
108
- [PROC-0][2024-10-03 14:39:41,588][energy][INFO] - + RAM: 0.000000 (kWh)
109
- [PROC-0][2024-10-03 14:39:41,588][energy][INFO] - + total: 0.000013 (kWh)
110
- [PROC-0][2024-10-03 14:39:41,588][energy][INFO] - + forward energy efficiency: 4698728.636857 (samples/kWh)
111
- [PROC-0][2024-10-03 14:39:41,588][energy][INFO] - + preprocess energy efficiency: 76885027.422762 (samples/kWh)
112
- [2024-10-03 14:39:42,200][device-isolation][INFO] - + Closing device(s) isolation process...
113
- [2024-10-03 14:39:42,251][datasets][INFO] - PyTorch version 2.4.0 available.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [2024-10-02 02:01:33,816][launcher][INFO] - ََAllocating process launcher
2
+ [2024-10-02 02:01:33,816][process][INFO] - + Setting multiprocessing start method to spawn.
3
+ [2024-10-02 02:01:33,825][device-isolation][INFO] - + Launched device(s) isolation process 73
4
+ [2024-10-02 02:01:33,826][device-isolation][INFO] - + Isolating device(s) [0]
5
+ [2024-10-02 02:01:33,831][process][INFO] - + Launched benchmark in isolated process 74.
6
+ [PROC-0][2024-10-02 02:01:36,540][datasets][INFO] - PyTorch version 2.4.0 available.
7
+ [PROC-0][2024-10-02 02:01:37,454][backend][INFO] - َAllocating pytorch backend
8
+ [PROC-0][2024-10-02 02:01:37,455][backend][INFO] - + Setting random seed to 42
9
+ [PROC-0][2024-10-02 02:01:37,833][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
10
+ [PROC-0][2024-10-02 02:01:37,833][pytorch][INFO] - + Creating backend temporary directory
11
+ [PROC-0][2024-10-02 02:01:37,833][pytorch][INFO] - + Loading model with random weights
12
+ [PROC-0][2024-10-02 02:01:37,833][pytorch][INFO] - + Creating no weights model
13
+ [PROC-0][2024-10-02 02:01:37,833][pytorch][INFO] - + Creating no weights model directory
14
+ [PROC-0][2024-10-02 02:01:37,834][pytorch][INFO] - + Creating no weights model state dict
15
+ [PROC-0][2024-10-02 02:01:37,835][pytorch][INFO] - + Saving no weights model safetensors
16
+ [PROC-0][2024-10-02 02:01:37,836][pytorch][INFO] - + Saving no weights model pretrained config
17
+ [PROC-0][2024-10-02 02:01:37,837][pytorch][INFO] - + Loading no weights AutoModel
18
+ [PROC-0][2024-10-02 02:01:37,837][pytorch][INFO] - + Loading model directly on device: cuda
19
+ [PROC-0][2024-10-02 02:01:38,086][pytorch][INFO] - + Turning on model's eval mode
20
+ [PROC-0][2024-10-02 02:01:38,092][benchmark][INFO] - Allocating energy_star benchmark
21
+ [PROC-0][2024-10-02 02:01:38,092][energy_star][INFO] - + Loading raw dataset
22
+ [PROC-0][2024-10-02 02:01:39,203][energy_star][INFO] - + Initializing Inference report
23
+ [PROC-0][2024-10-02 02:01:39,204][energy][INFO] - + Tracking GPU energy on devices [0]
24
+ [PROC-0][2024-10-02 02:01:43,381][energy_star][INFO] - + Preprocessing dataset
25
+ [PROC-0][2024-10-02 02:01:43,811][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
26
+ [PROC-0][2024-10-02 02:01:43,814][energy_star][INFO] - + Preparing backend for Inference
27
+ [PROC-0][2024-10-02 02:01:43,814][energy_star][INFO] - + Initialising dataloader
28
+ [PROC-0][2024-10-02 02:01:43,814][energy_star][INFO] - + Warming up backend for Inference
29
+ [PROC-0][2024-10-02 02:01:44,316][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
30
+ [PROC-0][2024-10-02 02:01:44,317][energy_star][INFO] - + Iteration 1/10
31
+ [PROC-0][2024-10-02 02:01:48,348][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
32
+ [PROC-0][2024-10-02 02:01:48,351][energy_star][INFO] - + Iteration 2/10
33
+ [PROC-0][2024-10-02 02:01:52,353][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
34
+ [PROC-0][2024-10-02 02:01:52,356][energy_star][INFO] - + Iteration 3/10
35
+ [PROC-0][2024-10-02 02:01:56,385][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
36
+ [PROC-0][2024-10-02 02:01:56,388][energy_star][INFO] - + Iteration 4/10
37
+ [PROC-0][2024-10-02 02:02:00,404][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
38
+ [PROC-0][2024-10-02 02:02:00,407][energy_star][INFO] - + Iteration 5/10
39
+ [PROC-0][2024-10-02 02:02:04,407][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
40
+ [PROC-0][2024-10-02 02:02:04,409][energy_star][INFO] - + Iteration 6/10
41
+ [PROC-0][2024-10-02 02:02:08,402][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
42
+ [PROC-0][2024-10-02 02:02:08,404][energy_star][INFO] - + Iteration 7/10
43
+ [PROC-0][2024-10-02 02:02:12,401][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
44
+ [PROC-0][2024-10-02 02:02:12,403][energy_star][INFO] - + Iteration 8/10
45
+ [PROC-0][2024-10-02 02:02:16,392][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
46
+ [PROC-0][2024-10-02 02:02:16,395][energy_star][INFO] - + Iteration 9/10
47
+ [PROC-0][2024-10-02 02:02:20,458][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
48
+ [PROC-0][2024-10-02 02:02:20,461][energy_star][INFO] - + Iteration 10/10
49
+ [PROC-0][2024-10-02 02:02:24,445][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
50
+ [PROC-0][2024-10-02 02:02:24,447][energy][INFO] - + forward energy consumption:
51
+ [PROC-0][2024-10-02 02:02:24,447][energy][INFO] - + CPU: 0.000043 (kWh)
52
+ [PROC-0][2024-10-02 02:02:24,447][energy][INFO] - + GPU: 0.000171 (kWh)
53
+ [PROC-0][2024-10-02 02:02:24,447][energy][INFO] - + RAM: 0.000000 (kWh)
54
+ [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + total: 0.000214 (kWh)
55
+ [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + forward_iteration_1 energy consumption:
56
+ [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + CPU: 0.000048 (kWh)
57
+ [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + GPU: 0.000185 (kWh)
58
+ [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + RAM: 0.000000 (kWh)
59
+ [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + total: 0.000233 (kWh)
60
+ [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + forward_iteration_2 energy consumption:
61
+ [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + CPU: 0.000047 (kWh)
62
+ [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + GPU: 0.000190 (kWh)
63
+ [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + RAM: 0.000000 (kWh)
64
+ [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + total: 0.000237 (kWh)
65
+ [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + forward_iteration_3 energy consumption:
66
+ [PROC-0][2024-10-02 02:02:24,448][energy][INFO] - + CPU: 0.000048 (kWh)
67
+ [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + GPU: 0.000189 (kWh)
68
+ [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + RAM: 0.000000 (kWh)
69
+ [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + total: 0.000237 (kWh)
70
+ [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + forward_iteration_4 energy consumption:
71
+ [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + CPU: 0.000047 (kWh)
72
+ [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + GPU: 0.000189 (kWh)
73
+ [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + RAM: 0.000000 (kWh)
74
+ [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + total: 0.000237 (kWh)
75
+ [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + forward_iteration_5 energy consumption:
76
+ [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + CPU: 0.000047 (kWh)
77
+ [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + GPU: 0.000191 (kWh)
78
+ [PROC-0][2024-10-02 02:02:24,449][energy][INFO] - + RAM: 0.000000 (kWh)
79
+ [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + total: 0.000238 (kWh)
80
+ [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + forward_iteration_6 energy consumption:
81
+ [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + CPU: 0.000047 (kWh)
82
+ [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + GPU: 0.000191 (kWh)
83
+ [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + RAM: 0.000000 (kWh)
84
+ [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + total: 0.000239 (kWh)
85
+ [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + forward_iteration_7 energy consumption:
86
+ [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + CPU: 0.000000 (kWh)
87
+ [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + GPU: 0.000000 (kWh)
88
+ [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + RAM: 0.000000 (kWh)
89
+ [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + total: 0.000000 (kWh)
90
+ [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + forward_iteration_8 energy consumption:
91
+ [PROC-0][2024-10-02 02:02:24,450][energy][INFO] - + CPU: 0.000047 (kWh)
92
+ [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + GPU: 0.000193 (kWh)
93
+ [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + RAM: 0.000000 (kWh)
94
+ [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + total: 0.000240 (kWh)
95
+ [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + forward_iteration_9 energy consumption:
96
+ [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + CPU: 0.000048 (kWh)
97
+ [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + GPU: 0.000194 (kWh)
98
+ [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + RAM: 0.000000 (kWh)
99
+ [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + total: 0.000243 (kWh)
100
+ [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + forward_iteration_10 energy consumption:
101
+ [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + CPU: 0.000047 (kWh)
102
+ [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + GPU: 0.000188 (kWh)
103
+ [PROC-0][2024-10-02 02:02:24,451][energy][INFO] - + RAM: 0.000000 (kWh)
104
+ [PROC-0][2024-10-02 02:02:24,452][energy][INFO] - + total: 0.000235 (kWh)
105
+ [PROC-0][2024-10-02 02:02:24,452][energy][INFO] - + preprocess energy consumption:
106
+ [PROC-0][2024-10-02 02:02:24,452][energy][INFO] - + CPU: 0.000005 (kWh)
107
+ [PROC-0][2024-10-02 02:02:24,452][energy][INFO] - + GPU: 0.000008 (kWh)
108
+ [PROC-0][2024-10-02 02:02:24,452][energy][INFO] - + RAM: 0.000000 (kWh)
109
+ [PROC-0][2024-10-02 02:02:24,452][energy][INFO] - + total: 0.000013 (kWh)
110
+ [PROC-0][2024-10-02 02:02:24,452][energy][INFO] - + forward energy efficiency: 4672757.503834 (samples/kWh)
111
+ [PROC-0][2024-10-02 02:02:24,452][energy][INFO] - + preprocess energy efficiency: 77598695.955478 (samples/kWh)
112
+ [2024-10-02 02:02:25,051][device-isolation][INFO] - + Closing device(s) isolation process...
113
+ [2024-10-02 02:02:25,100][datasets][INFO] - PyTorch version 2.4.0 available.
114
+ [2024-10-02 02:02:30,464][launcher][INFO] - ََAllocating process launcher
115
+ [2024-10-02 02:02:30,464][process][INFO] - + Setting multiprocessing start method to spawn.
116
+ [2024-10-02 02:02:30,474][device-isolation][INFO] - + Launched device(s) isolation process 73
117
+ [2024-10-02 02:02:30,474][device-isolation][INFO] - + Isolating device(s) [0]
118
+ [2024-10-02 02:02:30,480][process][INFO] - + Launched benchmark in isolated process 74.
119
+ [PROC-0][2024-10-02 02:02:33,041][datasets][INFO] - PyTorch version 2.4.0 available.
120
+ [PROC-0][2024-10-02 02:02:33,950][backend][INFO] - َAllocating pytorch backend
121
+ [PROC-0][2024-10-02 02:02:33,950][backend][INFO] - + Setting random seed to 42
122
+ [PROC-0][2024-10-02 02:02:34,271][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
123
+ [PROC-0][2024-10-02 02:02:34,271][pytorch][INFO] - + Creating backend temporary directory
124
+ [PROC-0][2024-10-02 02:02:34,271][pytorch][INFO] - + Loading model with random weights
125
+ [PROC-0][2024-10-02 02:02:34,271][pytorch][INFO] - + Creating no weights model
126
+ [PROC-0][2024-10-02 02:02:34,271][pytorch][INFO] - + Creating no weights model directory
127
+ [PROC-0][2024-10-02 02:02:34,272][pytorch][INFO] - + Creating no weights model state dict
128
+ [PROC-0][2024-10-02 02:02:34,274][pytorch][INFO] - + Saving no weights model safetensors
129
+ [PROC-0][2024-10-02 02:02:34,274][pytorch][INFO] - + Saving no weights model pretrained config
130
+ [PROC-0][2024-10-02 02:02:34,275][pytorch][INFO] - + Loading no weights AutoModel
131
+ [PROC-0][2024-10-02 02:02:34,275][pytorch][INFO] - + Loading model directly on device: cuda
132
+ [PROC-0][2024-10-02 02:02:34,531][pytorch][INFO] - + Turning on model's eval mode
133
+ [PROC-0][2024-10-02 02:02:34,537][benchmark][INFO] - Allocating energy_star benchmark
134
+ [PROC-0][2024-10-02 02:02:34,537][energy_star][INFO] - + Loading raw dataset
135
+ [PROC-0][2024-10-02 02:02:35,106][energy_star][INFO] - + Initializing Inference report
136
+ [PROC-0][2024-10-02 02:02:35,106][energy][INFO] - + Tracking GPU energy on devices [0]
137
+ [PROC-0][2024-10-02 02:02:39,282][energy_star][INFO] - + Preprocessing dataset
138
+ [PROC-0][2024-10-02 02:02:39,711][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
139
+ [PROC-0][2024-10-02 02:02:39,713][energy_star][INFO] - + Preparing backend for Inference
140
+ [PROC-0][2024-10-02 02:02:39,713][energy_star][INFO] - + Initialising dataloader
141
+ [PROC-0][2024-10-02 02:02:39,714][energy_star][INFO] - + Warming up backend for Inference
142
+ [2024-10-02 02:14:00,059][launcher][INFO] - ََAllocating process launcher
143
+ [2024-10-02 02:14:00,059][process][INFO] - + Setting multiprocessing start method to spawn.
144
+ [2024-10-02 02:14:00,068][device-isolation][INFO] - + Launched device(s) isolation process 73
145
+ [2024-10-02 02:14:00,068][device-isolation][INFO] - + Isolating device(s) [0]
146
+ [2024-10-02 02:14:00,074][process][INFO] - + Launched benchmark in isolated process 74.
147
+ [PROC-0][2024-10-02 02:14:02,696][datasets][INFO] - PyTorch version 2.4.0 available.
148
+ [PROC-0][2024-10-02 02:14:03,668][backend][INFO] - َAllocating pytorch backend
149
+ [PROC-0][2024-10-02 02:14:03,668][backend][INFO] - + Setting random seed to 42
150
+ [PROC-0][2024-10-02 02:14:04,025][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
151
+ [PROC-0][2024-10-02 02:14:04,025][pytorch][INFO] - + Creating backend temporary directory
152
+ [PROC-0][2024-10-02 02:14:04,025][pytorch][INFO] - + Loading model with random weights
153
+ [PROC-0][2024-10-02 02:14:04,025][pytorch][INFO] - + Creating no weights model
154
+ [PROC-0][2024-10-02 02:14:04,026][pytorch][INFO] - + Creating no weights model directory
155
+ [PROC-0][2024-10-02 02:14:04,026][pytorch][INFO] - + Creating no weights model state dict
156
+ [PROC-0][2024-10-02 02:14:04,028][pytorch][INFO] - + Saving no weights model safetensors
157
+ [PROC-0][2024-10-02 02:14:04,028][pytorch][INFO] - + Saving no weights model pretrained config
158
+ [PROC-0][2024-10-02 02:14:04,029][pytorch][INFO] - + Loading no weights AutoModel
159
+ [PROC-0][2024-10-02 02:14:04,029][pytorch][INFO] - + Loading model directly on device: cuda
160
+ [PROC-0][2024-10-02 02:14:04,291][pytorch][INFO] - + Turning on model's eval mode
161
+ [PROC-0][2024-10-02 02:14:04,297][benchmark][INFO] - Allocating energy_star benchmark
162
+ [PROC-0][2024-10-02 02:14:04,298][energy_star][INFO] - + Loading raw dataset
163
+ [PROC-0][2024-10-02 02:14:04,945][energy_star][INFO] - + Initializing Inference report
164
+ [PROC-0][2024-10-02 02:14:04,946][energy][INFO] - + Tracking GPU energy on devices [0]
165
+ [PROC-0][2024-10-02 02:14:09,145][energy_star][INFO] - + Preprocessing dataset
166
+ [PROC-0][2024-10-02 02:14:09,571][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
167
+ [PROC-0][2024-10-02 02:14:09,573][energy_star][INFO] - + Preparing backend for Inference
168
+ [PROC-0][2024-10-02 02:14:09,573][energy_star][INFO] - + Initialising dataloader
169
+ [PROC-0][2024-10-02 02:14:09,574][energy_star][INFO] - + Warming up backend for Inference
170
+ [PROC-0][2024-10-02 02:14:10,196][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
171
+ [PROC-0][2024-10-02 02:14:10,196][energy_star][INFO] - + Iteration 1/10
172
+ [PROC-0][2024-10-02 02:14:14,347][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
173
+ [PROC-0][2024-10-02 02:14:14,349][energy_star][INFO] - + Iteration 2/10
174
+ [PROC-0][2024-10-02 02:14:18,444][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
175
+ [PROC-0][2024-10-02 02:14:18,447][energy_star][INFO] - + Iteration 3/10
176
+ [PROC-0][2024-10-02 02:14:22,446][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
177
+ [PROC-0][2024-10-02 02:14:22,448][energy_star][INFO] - + Iteration 4/10
178
+ [PROC-0][2024-10-02 02:14:26,447][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
179
+ [PROC-0][2024-10-02 02:14:26,449][energy_star][INFO] - + Iteration 5/10
180
+ [PROC-0][2024-10-02 02:14:30,446][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
181
+ [PROC-0][2024-10-02 02:14:30,449][energy_star][INFO] - + Iteration 6/10
182
+ [PROC-0][2024-10-02 02:14:34,444][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
183
+ [PROC-0][2024-10-02 02:14:34,446][energy_star][INFO] - + Iteration 7/10
184
+ [PROC-0][2024-10-02 02:14:38,476][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
185
+ [PROC-0][2024-10-02 02:14:38,478][energy_star][INFO] - + Iteration 8/10
186
+ [PROC-0][2024-10-02 02:14:42,466][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
187
+ [PROC-0][2024-10-02 02:14:42,468][energy_star][INFO] - + Iteration 9/10
188
+ [PROC-0][2024-10-02 02:14:46,461][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
189
+ [PROC-0][2024-10-02 02:14:46,463][energy_star][INFO] - + Iteration 10/10
190
+ [PROC-0][2024-10-02 02:14:50,459][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
191
+ [PROC-0][2024-10-02 02:14:50,461][energy][INFO] - + forward energy consumption:
192
+ [PROC-0][2024-10-02 02:14:50,461][energy][INFO] - + CPU: 0.000043 (kWh)
193
+ [PROC-0][2024-10-02 02:14:50,461][energy][INFO] - + GPU: 0.000167 (kWh)
194
+ [PROC-0][2024-10-02 02:14:50,461][energy][INFO] - + RAM: 0.000000 (kWh)
195
+ [PROC-0][2024-10-02 02:14:50,461][energy][INFO] - + total: 0.000210 (kWh)
196
+ [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + forward_iteration_1 energy consumption:
197
+ [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + CPU: 0.000049 (kWh)
198
+ [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + GPU: 0.000180 (kWh)
199
+ [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + RAM: 0.000000 (kWh)
200
+ [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + total: 0.000230 (kWh)
201
+ [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + forward_iteration_2 energy consumption:
202
+ [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + CPU: 0.000048 (kWh)
203
+ [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + GPU: 0.000184 (kWh)
204
+ [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + RAM: 0.000000 (kWh)
205
+ [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + total: 0.000233 (kWh)
206
+ [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + forward_iteration_3 energy consumption:
207
+ [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + CPU: 0.000047 (kWh)
208
+ [PROC-0][2024-10-02 02:14:50,462][energy][INFO] - + GPU: 0.000184 (kWh)
209
+ [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + RAM: 0.000000 (kWh)
210
+ [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + total: 0.000231 (kWh)
211
+ [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + forward_iteration_4 energy consumption:
212
+ [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + CPU: 0.000047 (kWh)
213
+ [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + GPU: 0.000185 (kWh)
214
+ [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + RAM: 0.000000 (kWh)
215
+ [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + total: 0.000233 (kWh)
216
+ [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + forward_iteration_5 energy consumption:
217
+ [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + CPU: 0.000047 (kWh)
218
+ [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + GPU: 0.000185 (kWh)
219
+ [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + RAM: 0.000000 (kWh)
220
+ [PROC-0][2024-10-02 02:14:50,463][energy][INFO] - + total: 0.000233 (kWh)
221
+ [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + forward_iteration_6 energy consumption:
222
+ [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + CPU: 0.000047 (kWh)
223
+ [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + GPU: 0.000186 (kWh)
224
+ [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + RAM: 0.000000 (kWh)
225
+ [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + total: 0.000234 (kWh)
226
+ [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + forward_iteration_7 energy consumption:
227
+ [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + CPU: 0.000000 (kWh)
228
+ [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + GPU: 0.000000 (kWh)
229
+ [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + RAM: 0.000000 (kWh)
230
+ [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + total: 0.000000 (kWh)
231
+ [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + forward_iteration_8 energy consumption:
232
+ [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + CPU: 0.000047 (kWh)
233
+ [PROC-0][2024-10-02 02:14:50,464][energy][INFO] - + GPU: 0.000188 (kWh)
234
+ [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + RAM: 0.000000 (kWh)
235
+ [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + total: 0.000236 (kWh)
236
+ [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + forward_iteration_9 energy consumption:
237
+ [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + CPU: 0.000047 (kWh)
238
+ [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + GPU: 0.000189 (kWh)
239
+ [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + RAM: 0.000000 (kWh)
240
+ [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + total: 0.000236 (kWh)
241
+ [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + forward_iteration_10 energy consumption:
242
+ [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + CPU: 0.000047 (kWh)
243
+ [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + GPU: 0.000189 (kWh)
244
+ [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + RAM: 0.000000 (kWh)
245
+ [PROC-0][2024-10-02 02:14:50,465][energy][INFO] - + total: 0.000236 (kWh)
246
+ [PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + preprocess energy consumption:
247
+ [PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + CPU: 0.000005 (kWh)
248
+ [PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + GPU: 0.000008 (kWh)
249
+ [PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + RAM: 0.000000 (kWh)
250
+ [PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + total: 0.000013 (kWh)
251
+ [PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + forward energy efficiency: 4758665.708690 (samples/kWh)
252
+ [PROC-0][2024-10-02 02:14:50,466][energy][INFO] - + preprocess energy efficiency: 78850929.489581 (samples/kWh)
253
+ [2024-10-02 02:14:51,058][device-isolation][INFO] - + Closing device(s) isolation process...
254
+ [2024-10-02 02:14:51,111][datasets][INFO] - PyTorch version 2.4.0 available.
255
+ [2024-10-02 02:14:56,104][launcher][INFO] - ََAllocating process launcher
256
+ [2024-10-02 02:14:56,104][process][INFO] - + Setting multiprocessing start method to spawn.
257
+ [2024-10-02 02:14:56,114][device-isolation][INFO] - + Launched device(s) isolation process 73
258
+ [2024-10-02 02:14:56,115][device-isolation][INFO] - + Isolating device(s) [0]
259
+ [2024-10-02 02:14:56,123][process][INFO] - + Launched benchmark in isolated process 74.
260
+ [PROC-0][2024-10-02 02:14:58,781][datasets][INFO] - PyTorch version 2.4.0 available.
261
+ [PROC-0][2024-10-02 02:14:59,691][backend][INFO] - َAllocating pytorch backend
262
+ [PROC-0][2024-10-02 02:14:59,691][backend][INFO] - + Setting random seed to 42
263
+ [PROC-0][2024-10-02 02:14:59,991][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
264
+ [PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - + Creating backend temporary directory
265
+ [PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - + Loading model with random weights
266
+ [PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - + Creating no weights model
267
+ [PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - + Creating no weights model directory
268
+ [PROC-0][2024-10-02 02:14:59,992][pytorch][INFO] - + Creating no weights model state dict
269
+ [PROC-0][2024-10-02 02:14:59,994][pytorch][INFO] - + Saving no weights model safetensors
270
+ [PROC-0][2024-10-02 02:14:59,994][pytorch][INFO] - + Saving no weights model pretrained config
271
+ [PROC-0][2024-10-02 02:14:59,995][pytorch][INFO] - + Loading no weights AutoModel
272
+ [PROC-0][2024-10-02 02:14:59,995][pytorch][INFO] - + Loading model directly on device: cuda
273
+ [PROC-0][2024-10-02 02:15:00,258][pytorch][INFO] - + Turning on model's eval mode
274
+ [PROC-0][2024-10-02 02:15:00,264][benchmark][INFO] - Allocating energy_star benchmark
275
+ [PROC-0][2024-10-02 02:15:00,264][energy_star][INFO] - + Loading raw dataset
276
+ [PROC-0][2024-10-02 02:15:00,835][energy_star][INFO] - + Initializing Inference report
277
+ [PROC-0][2024-10-02 02:15:00,836][energy][INFO] - + Tracking GPU energy on devices [0]
278
+ [PROC-0][2024-10-02 02:15:05,022][energy_star][INFO] - + Preprocessing dataset
279
+ [PROC-0][2024-10-02 02:15:05,450][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
280
+ [PROC-0][2024-10-02 02:15:05,452][energy_star][INFO] - + Preparing backend for Inference
281
+ [PROC-0][2024-10-02 02:15:05,452][energy_star][INFO] - + Initialising dataloader
282
+ [PROC-0][2024-10-02 02:15:05,453][energy_star][INFO] - + Warming up backend for Inference
283
+ [2024-10-02 02:50:10,740][launcher][INFO] - ََAllocating process launcher
284
+ [2024-10-02 02:50:10,740][process][INFO] - + Setting multiprocessing start method to spawn.
285
+ [2024-10-02 02:50:10,749][device-isolation][INFO] - + Launched device(s) isolation process 73
286
+ [2024-10-02 02:50:10,749][device-isolation][INFO] - + Isolating device(s) [0]
287
+ [2024-10-02 02:50:10,755][process][INFO] - + Launched benchmark in isolated process 74.
288
+ [PROC-0][2024-10-02 02:50:13,394][datasets][INFO] - PyTorch version 2.4.0 available.
289
+ [PROC-0][2024-10-02 02:50:14,352][backend][INFO] - َAllocating pytorch backend
290
+ [PROC-0][2024-10-02 02:50:14,352][backend][INFO] - + Setting random seed to 42
291
+ [PROC-0][2024-10-02 02:50:14,716][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
292
+ [PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - + Creating backend temporary directory
293
+ [PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - + Loading model with random weights
294
+ [PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - + Creating no weights model
295
+ [PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - + Creating no weights model directory
296
+ [PROC-0][2024-10-02 02:50:14,717][pytorch][INFO] - + Creating no weights model state dict
297
+ [PROC-0][2024-10-02 02:50:14,719][pytorch][INFO] - + Saving no weights model safetensors
298
+ [PROC-0][2024-10-02 02:50:14,720][pytorch][INFO] - + Saving no weights model pretrained config
299
+ [PROC-0][2024-10-02 02:50:14,721][pytorch][INFO] - + Loading no weights AutoModel
300
+ [PROC-0][2024-10-02 02:50:14,721][pytorch][INFO] - + Loading model directly on device: cuda
301
+ [PROC-0][2024-10-02 02:50:14,981][pytorch][INFO] - + Turning on model's eval mode
302
+ [PROC-0][2024-10-02 02:50:14,987][benchmark][INFO] - Allocating energy_star benchmark
303
+ [PROC-0][2024-10-02 02:50:14,987][energy_star][INFO] - + Loading raw dataset
304
+ [PROC-0][2024-10-02 02:50:15,784][energy_star][INFO] - + Initializing Inference report
305
+ [PROC-0][2024-10-02 02:50:15,784][energy][INFO] - + Tracking GPU energy on devices [0]
306
+ [PROC-0][2024-10-02 02:50:19,971][energy_star][INFO] - + Preprocessing dataset
307
+ [PROC-0][2024-10-02 02:50:20,399][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
308
+ [PROC-0][2024-10-02 02:50:20,401][energy_star][INFO] - + Preparing backend for Inference
309
+ [PROC-0][2024-10-02 02:50:20,401][energy_star][INFO] - + Initialising dataloader
310
+ [PROC-0][2024-10-02 02:50:20,401][energy_star][INFO] - + Warming up backend for Inference
311
+ [PROC-0][2024-10-02 02:50:20,890][energy_star][INFO] - + Running Inference energy tracking for 10 iterations
312
+ [PROC-0][2024-10-02 02:50:20,890][energy_star][INFO] - + Iteration 1/10
313
+ [PROC-0][2024-10-02 02:50:24,885][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
314
+ [PROC-0][2024-10-02 02:50:24,887][energy_star][INFO] - + Iteration 2/10
315
+ [PROC-0][2024-10-02 02:50:28,829][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
316
+ [PROC-0][2024-10-02 02:50:28,832][energy_star][INFO] - + Iteration 3/10
317
+ [PROC-0][2024-10-02 02:50:32,782][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
318
+ [PROC-0][2024-10-02 02:50:32,785][energy_star][INFO] - + Iteration 4/10
319
+ [PROC-0][2024-10-02 02:50:36,741][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
320
+ [PROC-0][2024-10-02 02:50:36,743][energy_star][INFO] - + Iteration 5/10
321
+ [PROC-0][2024-10-02 02:50:40,700][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
322
+ [PROC-0][2024-10-02 02:50:40,702][energy_star][INFO] - + Iteration 6/10
323
+ [PROC-0][2024-10-02 02:50:44,699][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
324
+ [PROC-0][2024-10-02 02:50:44,701][energy_star][INFO] - + Iteration 7/10
325
+ [PROC-0][2024-10-02 02:50:48,692][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
326
+ [PROC-0][2024-10-02 02:50:48,694][energy_star][INFO] - + Iteration 8/10
327
+ [PROC-0][2024-10-02 02:50:52,696][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
328
+ [PROC-0][2024-10-02 02:50:52,698][energy_star][INFO] - + Iteration 9/10
329
+ [PROC-0][2024-10-02 02:50:56,686][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
330
+ [PROC-0][2024-10-02 02:50:56,689][energy_star][INFO] - + Iteration 10/10
331
+ [PROC-0][2024-10-02 02:51:00,693][energy][INFO] - + Saving codecarbon emission data to forward_codecarbon.json
332
+ [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + forward energy consumption:
333
+ [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + CPU: 0.000042 (kWh)
334
+ [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + GPU: 0.000167 (kWh)
335
+ [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + RAM: 0.000000 (kWh)
336
+ [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + total: 0.000209 (kWh)
337
+ [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + forward_iteration_1 energy consumption:
338
+ [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + CPU: 0.000047 (kWh)
339
+ [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + GPU: 0.000182 (kWh)
340
+ [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + RAM: 0.000000 (kWh)
341
+ [PROC-0][2024-10-02 02:51:00,696][energy][INFO] - + total: 0.000229 (kWh)
342
+ [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + forward_iteration_2 energy consumption:
343
+ [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + CPU: 0.000046 (kWh)
344
+ [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + GPU: 0.000179 (kWh)
345
+ [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + RAM: 0.000000 (kWh)
346
+ [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + total: 0.000225 (kWh)
347
+ [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + forward_iteration_3 energy consumption:
348
+ [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + CPU: 0.000047 (kWh)
349
+ [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + GPU: 0.000187 (kWh)
350
+ [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + RAM: 0.000000 (kWh)
351
+ [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + total: 0.000234 (kWh)
352
+ [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + forward_iteration_4 energy consumption:
353
+ [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + CPU: 0.000047 (kWh)
354
+ [PROC-0][2024-10-02 02:51:00,697][energy][INFO] - + GPU: 0.000182 (kWh)
355
+ [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + RAM: 0.000000 (kWh)
356
+ [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + total: 0.000229 (kWh)
357
+ [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + forward_iteration_5 energy consumption:
358
+ [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + CPU: 0.000047 (kWh)
359
+ [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + GPU: 0.000188 (kWh)
360
+ [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + RAM: 0.000000 (kWh)
361
+ [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + total: 0.000235 (kWh)
362
+ [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + forward_iteration_6 energy consumption:
363
+ [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + CPU: 0.000047 (kWh)
364
+ [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + GPU: 0.000186 (kWh)
365
+ [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + RAM: 0.000000 (kWh)
366
+ [PROC-0][2024-10-02 02:51:00,698][energy][INFO] - + total: 0.000233 (kWh)
367
+ [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + forward_iteration_7 energy consumption:
368
+ [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + CPU: 0.000000 (kWh)
369
+ [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + GPU: 0.000000 (kWh)
370
+ [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + RAM: 0.000000 (kWh)
371
+ [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + total: 0.000000 (kWh)
372
+ [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + forward_iteration_8 energy consumption:
373
+ [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + CPU: 0.000047 (kWh)
374
+ [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + GPU: 0.000188 (kWh)
375
+ [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + RAM: 0.000000 (kWh)
376
+ [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + total: 0.000235 (kWh)
377
+ [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + forward_iteration_9 energy consumption:
378
+ [PROC-0][2024-10-02 02:51:00,699][energy][INFO] - + CPU: 0.000047 (kWh)
379
+ [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + GPU: 0.000189 (kWh)
380
+ [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + RAM: 0.000000 (kWh)
381
+ [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + total: 0.000237 (kWh)
382
+ [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + forward_iteration_10 energy consumption:
383
+ [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + CPU: 0.000047 (kWh)
384
+ [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + GPU: 0.000189 (kWh)
385
+ [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + RAM: 0.000000 (kWh)
386
+ [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + total: 0.000237 (kWh)
387
+ [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + preprocess energy consumption:
388
+ [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + CPU: 0.000005 (kWh)
389
+ [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + GPU: 0.000010 (kWh)
390
+ [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + RAM: 0.000000 (kWh)
391
+ [PROC-0][2024-10-02 02:51:00,700][energy][INFO] - + total: 0.000015 (kWh)
392
+ [PROC-0][2024-10-02 02:51:00,701][energy][INFO] - + forward energy efficiency: 4773769.208322 (samples/kWh)
393
+ [PROC-0][2024-10-02 02:51:00,701][energy][INFO] - + preprocess energy efficiency: 68058016.345637 (samples/kWh)
394
+ [2024-10-02 02:51:01,301][device-isolation][INFO] - + Closing device(s) isolation process...
395
+ [2024-10-02 02:51:01,355][datasets][INFO] - PyTorch version 2.4.0 available.
396
+ [2024-10-02 02:51:05,807][launcher][INFO] - ََAllocating process launcher
397
+ [2024-10-02 02:51:05,807][process][INFO] - + Setting multiprocessing start method to spawn.
398
+ [2024-10-02 02:51:05,818][device-isolation][INFO] - + Launched device(s) isolation process 73
399
+ [2024-10-02 02:51:05,818][device-isolation][INFO] - + Isolating device(s) [0]
400
+ [2024-10-02 02:51:05,826][process][INFO] - + Launched benchmark in isolated process 74.
401
+ [PROC-0][2024-10-02 02:51:08,488][datasets][INFO] - PyTorch version 2.4.0 available.
402
+ [PROC-0][2024-10-02 02:51:09,445][backend][INFO] - َAllocating pytorch backend
403
+ [PROC-0][2024-10-02 02:51:09,445][backend][INFO] - + Setting random seed to 42
404
+ [PROC-0][2024-10-02 02:51:09,701][pytorch][INFO] - + Using AutoModel class AutoModelForSequenceClassification
405
+ [PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - + Creating backend temporary directory
406
+ [PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - + Loading model with random weights
407
+ [PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - + Creating no weights model
408
+ [PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - + Creating no weights model directory
409
+ [PROC-0][2024-10-02 02:51:09,702][pytorch][INFO] - + Creating no weights model state dict
410
+ [PROC-0][2024-10-02 02:51:09,704][pytorch][INFO] - + Saving no weights model safetensors
411
+ [PROC-0][2024-10-02 02:51:09,705][pytorch][INFO] - + Saving no weights model pretrained config
412
+ [PROC-0][2024-10-02 02:51:09,705][pytorch][INFO] - + Loading no weights AutoModel
413
+ [PROC-0][2024-10-02 02:51:09,706][pytorch][INFO] - + Loading model directly on device: cuda
414
+ [PROC-0][2024-10-02 02:51:09,954][pytorch][INFO] - + Turning on model's eval mode
415
+ [PROC-0][2024-10-02 02:51:09,960][benchmark][INFO] - Allocating energy_star benchmark
416
+ [PROC-0][2024-10-02 02:51:09,960][energy_star][INFO] - + Loading raw dataset
417
+ [PROC-0][2024-10-02 02:51:10,534][energy_star][INFO] - + Initializing Inference report
418
+ [PROC-0][2024-10-02 02:51:10,535][energy][INFO] - + Tracking GPU energy on devices [0]
419
+ [PROC-0][2024-10-02 02:51:14,703][energy_star][INFO] - + Preprocessing dataset
420
+ [PROC-0][2024-10-02 02:51:15,131][energy][INFO] - + Saving codecarbon emission data to preprocess_codecarbon.json
421
+ [PROC-0][2024-10-02 02:51:15,134][energy_star][INFO] - + Preparing backend for Inference
422
+ [PROC-0][2024-10-02 02:51:15,134][energy_star][INFO] - + Initialising dataloader
423
+ [PROC-0][2024-10-02 02:51:15,135][energy_star][INFO] - + Warming up backend for Inference
text_classification/lvwerra/distilbert-imdb/forward_codecarbon.json CHANGED
@@ -1,17 +1,17 @@
1
  {
2
- "timestamp": "2024-10-03T14:39:41",
3
  "project_name": "codecarbon",
4
- "run_id": "74c9a28a-66d2-4f03-8122-d94ccc8d9aec",
5
- "duration": -1727736281.2889435,
6
- "emissions": 8.725610621663625e-05,
7
- "emissions_rate": 2.182021488153507e-05,
8
  "cpu_power": 42.5,
9
- "gpu_power": 169.9595597734731,
10
- "ram_power": 0.3430137634277344,
11
- "cpu_energy": 4.723066698388722e-05,
12
- "gpu_energy": 0.00018876876212603477,
13
- "ram_energy": 3.8090131398455894e-07,
14
- "energy_consumed": 0.00023638033042390656,
15
  "country_name": "United States",
16
  "country_iso_code": "USA",
17
  "region": "virginia",
 
1
  {
2
+ "timestamp": "2024-10-02T02:51:00",
3
  "project_name": "codecarbon",
4
+ "run_id": "04cc4f2e-2a46-49be-ba28-96cfd13e615e",
5
+ "duration": -1727489511.2797432,
6
+ "emissions": 8.739037927692629e-05,
7
+ "emissions_rate": 2.185558559830156e-05,
8
  "cpu_power": 42.5,
9
+ "gpu_power": 170.44229695686977,
10
+ "ram_power": 0.34540271759033203,
11
+ "cpu_energy": 4.722849774876117e-05,
12
+ "gpu_energy": 0.00018913237352791157,
13
+ "ram_energy": 3.8321031302112333e-07,
14
+ "energy_consumed": 0.00023674408158969387,
15
  "country_name": "United States",
16
  "country_iso_code": "USA",
17
  "region": "virginia",
text_classification/lvwerra/distilbert-imdb/preprocess_codecarbon.json CHANGED
@@ -1,17 +1,17 @@
1
  {
2
- "timestamp": "2024-10-03T14:39:00",
3
  "project_name": "codecarbon",
4
- "run_id": "74c9a28a-66d2-4f03-8122-d94ccc8d9aec",
5
- "duration": -1727736284.8644152,
6
- "emissions": 4.801121756268704e-06,
7
- "emissions_rate": 1.133623967612493e-05,
8
  "cpu_power": 42.5,
9
- "gpu_power": 67.60713818137101,
10
- "ram_power": 0.27259826660156256,
11
- "cpu_energy": 5.024156459734918e-06,
12
- "gpu_energy": 7.950284137692165e-06,
13
- "ram_energy": 3.199295043874728e-08,
14
- "energy_consumed": 1.300643354786583e-05,
15
  "country_name": "United States",
16
  "country_iso_code": "USA",
17
  "region": "virginia",
 
1
  {
2
+ "timestamp": "2024-10-02T02:51:15",
3
  "project_name": "codecarbon",
4
+ "run_id": "f24f366a-2f2f-4a75-809e-749bf3903d51",
5
+ "duration": -1727489514.8551865,
6
+ "emissions": 4.864169126118747e-06,
7
+ "emissions_rate": 1.1494325067363464e-05,
8
  "cpu_power": 42.5,
9
+ "gpu_power": 69.17782359569274,
10
+ "ram_power": 0.27435922622680664,
11
+ "cpu_energy": 5.018949643029677e-06,
12
+ "gpu_energy": 8.12611761169535e-06,
13
+ "ram_energy": 3.216417495907414e-08,
14
+ "energy_consumed": 1.3177231429684101e-05,
15
  "country_name": "United States",
16
  "country_iso_code": "USA",
17
  "region": "virginia",