Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
093a142
·
verified ·
1 Parent(s): 96a3ca1

Upload cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json +45 -45
cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1336.85248,
6
  "max_global_vram": 3384.27904,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 2728.394752,
@@ -11,42 +11,42 @@
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
- 0.35583282470703126,
15
- 0.047265792846679686,
16
- 0.04644966506958008,
17
- 0.04599808120727539,
18
- 0.046129150390625
19
  ],
20
  "count": 5,
21
- "total": 0.5416755142211914,
22
- "mean": 0.10833510284423828,
23
- "p50": 0.04644966506958008,
24
- "p90": 0.23240601196289068,
25
- "p95": 0.2941194183349609,
26
- "p99": 0.3434901434326172,
27
- "stdev": 0.12374964658263861,
28
- "stdev_": 114.22857719585406
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
- "value": 92.30618458338263
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
- "cpu": 1.0706414865277876e-05,
37
- "ram": 5.835189191407015e-06,
38
- "gpu": 1.7581958509997955e-05,
39
- "total": 3.4123562566682845e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
- "value": 293052.63717580534
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
- "max_ram": 1336.85248,
50
  "max_global_vram": 3384.27904,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 2728.394752,
@@ -55,22 +55,22 @@
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
- 0.35583282470703126,
59
- 0.047265792846679686
60
  ],
61
  "count": 2,
62
- "total": 0.40309861755371096,
63
- "mean": 0.20154930877685548,
64
- "p50": 0.20154930877685548,
65
- "p90": 0.3249761215209961,
66
- "p95": 0.3404044731140137,
67
- "p99": 0.35274715438842774,
68
- "stdev": 0.1542835159301758,
69
- "stdev_": 76.54876956238544
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
- "value": 19.84626007538723
74
  },
75
  "energy": null,
76
  "efficiency": null
@@ -78,7 +78,7 @@
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
- "max_ram": 1336.85248,
82
  "max_global_vram": 3384.27904,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 2728.394752,
@@ -87,23 +87,23 @@
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
- 0.04644966506958008,
91
- 0.04599808120727539,
92
- 0.046129150390625
93
  ],
94
  "count": 3,
95
- "total": 0.13857689666748046,
96
- "mean": 0.046192298889160155,
97
- "p50": 0.046129150390625,
98
- "p90": 0.04638556213378906,
99
- "p95": 0.046417613601684574,
100
- "p99": 0.046443254776000975,
101
- "stdev": 0.00018968886072362313,
102
- "stdev_": 0.41065040122551033
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
- "value": 129.89178162353826
107
  },
108
  "energy": null,
109
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1336.467456,
6
  "max_global_vram": 3384.27904,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 2728.394752,
 
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
+ 0.3566827392578125,
15
+ 0.04652134323120117,
16
+ 0.04496384048461914,
17
+ 0.04509900665283203,
18
+ 0.045174785614013675
19
  ],
20
  "count": 5,
21
+ "total": 0.5384417152404786,
22
+ "mean": 0.10768834304809571,
23
+ "p50": 0.045174785614013675,
24
+ "p90": 0.232618180847168,
25
+ "p95": 0.2946504600524902,
26
+ "p99": 0.34427628341674804,
27
+ "stdev": 0.1244984693285349,
28
+ "stdev_": 115.60997764904921
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
+ "value": 92.86056147724183
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
+ "cpu": 1.0591205664583629e-05,
37
+ "ram": 5.784316477557903e-06,
38
+ "gpu": 1.7661125240000207e-05,
39
+ "total": 3.403664738214174e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
+ "value": 293800.96951754345
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
+ "max_ram": 1336.467456,
50
  "max_global_vram": 3384.27904,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 2728.394752,
 
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
+ 0.3566827392578125,
59
+ 0.04652134323120117
60
  ],
61
  "count": 2,
62
+ "total": 0.4032040824890137,
63
+ "mean": 0.20160204124450684,
64
+ "p50": 0.20160204124450684,
65
+ "p90": 0.3256665996551514,
66
+ "p95": 0.34117466945648195,
67
+ "p99": 0.35358112529754643,
68
+ "stdev": 0.15508069801330568,
69
+ "stdev_": 76.92417053715286
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
+ "value": 19.84106894606649
74
  },
75
  "energy": null,
76
  "efficiency": null
 
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
+ "max_ram": 1336.467456,
82
  "max_global_vram": 3384.27904,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 2728.394752,
 
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
+ 0.04496384048461914,
91
+ 0.04509900665283203,
92
+ 0.045174785614013675
93
  ],
94
  "count": 3,
95
+ "total": 0.13523763275146483,
96
+ "mean": 0.045079210917154944,
97
+ "p50": 0.04509900665283203,
98
+ "p90": 0.04515962982177735,
99
+ "p95": 0.04516720771789551,
100
+ "p99": 0.04517327003479004,
101
+ "stdev": 8.724817196582316e-05,
102
+ "stdev_": 0.1935441419464172
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 133.09904672081768
107
  },
108
  "energy": null,
109
  "efficiency": null