Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
1cf73ac
·
verified ·
1 Parent(s): b8def1b

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": 1315.258368,
6
  "max_global_vram": 3386.376192,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 2730.491904,
@@ -11,42 +11,42 @@
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
- 0.3432120361328125,
15
- 0.05156966400146484,
16
- 0.05033574295043945,
17
- 0.05009408187866211,
18
- 0.0501319694519043
19
  ],
20
  "count": 5,
21
- "total": 0.5453434944152832,
22
- "mean": 0.10906869888305663,
23
- "p50": 0.05033574295043945,
24
- "p90": 0.22655508728027346,
25
- "p95": 0.2848835617065429,
26
- "p99": 0.33154634124755855,
27
- "stdev": 0.11707292174555654,
28
- "stdev_": 107.33869840244637
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
- "value": 91.68533321115338
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
- "cpu": 1.0429607820373752e-05,
37
- "ram": 5.693287145294507e-06,
38
- "gpu": 1.8337792448086532e-05,
39
- "total": 3.446068741375479e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
- "value": 290185.7377345455
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
- "max_ram": 1315.258368,
50
  "max_global_vram": 3386.376192,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 2730.491904,
@@ -55,22 +55,22 @@
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
- 0.3432120361328125,
59
- 0.05156966400146484
60
  ],
61
  "count": 2,
62
- "total": 0.3947817001342773,
63
- "mean": 0.19739085006713866,
64
- "p50": 0.19739085006713866,
65
- "p90": 0.3140477989196777,
66
- "p95": 0.3286299175262451,
67
- "p99": 0.340295612411499,
68
- "stdev": 0.14582118606567382,
69
- "stdev_": 73.87433916824187
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
- "value": 20.264363817469135
74
  },
75
  "energy": null,
76
  "efficiency": null
@@ -78,7 +78,7 @@
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
- "max_ram": 1315.258368,
82
  "max_global_vram": 3386.376192,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 2730.491904,
@@ -87,23 +87,23 @@
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
- 0.05033574295043945,
91
- 0.05009408187866211,
92
- 0.0501319694519043
93
  ],
94
  "count": 3,
95
- "total": 0.15056179428100586,
96
- "mean": 0.05018726476033528,
97
- "p50": 0.0501319694519043,
98
- "p90": 0.05029498825073242,
99
- "p95": 0.050315365600585936,
100
- "p99": 0.05033166748046875,
101
- "stdev": 0.00010612318865043078,
102
- "stdev_": 0.21145441808238088
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
- "value": 119.5522415627242
107
  },
108
  "energy": null,
109
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1314.967552,
6
  "max_global_vram": 3386.376192,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 2730.491904,
 
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
+ 0.3435233154296875,
15
+ 0.05288755035400391,
16
+ 0.05044838333129883,
17
+ 0.051523582458496094,
18
+ 0.05125529479980469
19
  ],
20
  "count": 5,
21
+ "total": 0.549638126373291,
22
+ "mean": 0.1099276252746582,
23
+ "p50": 0.051523582458496094,
24
+ "p90": 0.22726900939941408,
25
+ "p95": 0.28539616241455074,
26
+ "p99": 0.33189788482666016,
27
+ "stdev": 0.11680048921878496,
28
+ "stdev_": 106.25217176024194
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
+ "value": 90.96894411222506
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
+ "cpu": 1.0402735955540267e-05,
37
+ "ram": 5.678991493030496e-06,
38
+ "gpu": 1.8213347904083577e-05,
39
+ "total": 3.429507535265434e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
+ "value": 291587.0543269131
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
+ "max_ram": 1314.967552,
50
  "max_global_vram": 3386.376192,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 2730.491904,
 
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
+ 0.3435233154296875,
59
+ 0.05288755035400391
60
  ],
61
  "count": 2,
62
+ "total": 0.3964108657836914,
63
+ "mean": 0.1982054328918457,
64
+ "p50": 0.1982054328918457,
65
+ "p90": 0.31445973892211915,
66
+ "p95": 0.3289915271759033,
67
+ "p99": 0.34061695777893064,
68
+ "stdev": 0.1453178825378418,
69
+ "stdev_": 73.3168008654622
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
+ "value": 20.181081525563787
74
  },
75
  "energy": null,
76
  "efficiency": null
 
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
+ "max_ram": 1314.967552,
82
  "max_global_vram": 3386.376192,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 2730.491904,
 
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
+ 0.05044838333129883,
91
+ 0.051523582458496094,
92
+ 0.05125529479980469
93
  ],
94
  "count": 3,
95
+ "total": 0.15322726058959962,
96
+ "mean": 0.05107575352986654,
97
+ "p50": 0.05125529479980469,
98
+ "p90": 0.05146992492675781,
99
+ "p95": 0.051496753692626955,
100
+ "p99": 0.051518216705322264,
101
+ "stdev": 0.0004569387934867524,
102
+ "stdev_": 0.8946295686456343
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 117.47256937661234
107
  },
108
  "energy": null,
109
  "efficiency": null