IlyasMoutawwakil HF staff commited on
Commit
742faec
·
verified ·
1 Parent(s): e85f799

Upload cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_report.json with huggingface_hub

Browse files
cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1308.250112,
6
  "max_global_vram": 3176.660992,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 2520.776704,
@@ -11,42 +11,42 @@
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
- 0.3370567626953125,
15
- 0.044576766967773435,
16
- 0.04343500900268555,
17
- 0.04324249649047852,
18
- 0.0431912956237793
19
  ],
20
  "count": 5,
21
- "total": 0.5115023307800293,
22
- "mean": 0.10230046615600585,
23
- "p50": 0.04343500900268555,
24
- "p90": 0.2200647644042969,
25
- "p95": 0.27856076354980464,
26
- "p99": 0.3253575628662109,
27
- "stdev": 0.11737923502963886,
28
- "stdev_": 114.73968735454072
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
- "value": 97.75126522639917
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
- "cpu": 8.477776525695428e-06,
37
- "ram": 4.596920847768621e-06,
38
- "gpu": 1.670029113800056e-05,
39
- "total": 2.977498851146461e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
- "value": 335852.35460794833
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
- "max_ram": 1308.250112,
50
  "max_global_vram": 3176.660992,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 2520.776704,
@@ -55,22 +55,22 @@
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
- 0.3370567626953125,
59
- 0.044576766967773435
60
  ],
61
  "count": 2,
62
- "total": 0.38163352966308595,
63
- "mean": 0.19081676483154297,
64
- "p50": 0.19081676483154297,
65
- "p90": 0.30780876312255856,
66
- "p95": 0.3224327629089355,
67
- "p99": 0.3341319627380371,
68
- "stdev": 0.1462399978637695,
69
- "stdev_": 76.6389672274725
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
- "value": 20.962518694472593
74
  },
75
  "energy": null,
76
  "efficiency": null
@@ -78,7 +78,7 @@
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
- "max_ram": 1308.250112,
82
  "max_global_vram": 3176.660992,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 2520.776704,
@@ -87,23 +87,23 @@
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
- 0.04343500900268555,
91
- 0.04324249649047852,
92
- 0.0431912956237793
93
  ],
94
  "count": 3,
95
- "total": 0.12986880111694338,
96
- "mean": 0.04328960037231446,
97
- "p50": 0.04324249649047852,
98
- "p90": 0.043396506500244146,
99
- "p95": 0.04341575775146485,
100
- "p99": 0.04343115875244141,
101
- "stdev": 0.00010492262078149526,
102
- "stdev_": 0.24237373382776187
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
- "value": 138.6014180864847
107
  },
108
  "energy": null,
109
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1306.9312,
6
  "max_global_vram": 3176.660992,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 2520.776704,
 
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
+ 0.33623141479492186,
15
+ 0.04430233764648438,
16
+ 0.04342169570922851,
17
+ 0.043660289764404295,
18
+ 0.04308377456665039
19
  ],
20
  "count": 5,
21
+ "total": 0.5106995124816894,
22
+ "mean": 0.10213990249633789,
23
+ "p50": 0.043660289764404295,
24
+ "p90": 0.21945978393554688,
25
+ "p95": 0.27784559936523434,
26
+ "p99": 0.32455425170898433,
27
+ "stdev": 0.11704643454425888,
28
+ "stdev_": 114.59422976094524
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
+ "value": 97.90492995975337
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
+ "cpu": 8.331739241666843e-06,
37
+ "ram": 4.546388419613395e-06,
38
+ "gpu": 1.4729734005999862e-05,
39
+ "total": 2.7607861667280098e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
+ "value": 362215.66597646574
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
+ "max_ram": 1306.9312,
50
  "max_global_vram": 3176.660992,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 2520.776704,
 
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
+ 0.33623141479492186,
59
+ 0.04430233764648438
60
  ],
61
  "count": 2,
62
+ "total": 0.38053375244140625,
63
+ "mean": 0.19026687622070312,
64
+ "p50": 0.19026687622070312,
65
+ "p90": 0.3070385070800781,
66
+ "p95": 0.3216349609375,
67
+ "p99": 0.33331212402343746,
68
+ "stdev": 0.14596453857421876,
69
+ "stdev_": 76.7156856062034
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
+ "value": 21.023102283763443
74
  },
75
  "energy": null,
76
  "efficiency": null
 
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
+ "max_ram": 1306.9312,
82
  "max_global_vram": 3176.660992,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 2520.776704,
 
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
+ 0.04342169570922851,
91
+ 0.043660289764404295,
92
+ 0.04308377456665039
93
  ],
94
  "count": 3,
95
+ "total": 0.13016576004028318,
96
+ "mean": 0.0433885866800944,
97
+ "p50": 0.04342169570922851,
98
+ "p90": 0.04361257095336914,
99
+ "p95": 0.043636430358886716,
100
+ "p99": 0.04365551788330078,
101
+ "stdev": 0.00023652286593894492,
102
+ "stdev_": 0.5451269193966526
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 138.28521413334374
107
  },
108
  "energy": null,
109
  "efficiency": null