IlyasMoutawwakil HF staff commited on
Commit
ce4429b
·
verified ·
1 Parent(s): 418830b

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": 1312.07168,
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
- 0.33607986450195315,
15
- 0.043937793731689455,
16
- 0.04326092910766602,
17
- 0.043028480529785154,
18
- 0.04348723220825195
19
  ],
20
  "count": 5,
21
- "total": 0.5097943000793457,
22
- "mean": 0.10195886001586914,
23
- "p50": 0.04348723220825195,
24
- "p90": 0.2192230361938477,
25
- "p95": 0.27765145034790034,
26
- "p99": 0.3243941816711426,
27
- "stdev": 0.11706088744929001,
28
- "stdev_": 114.81188337244095
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
- "value": 98.07877410990643
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
- "cpu": 8.355502668055614e-06,
37
- "ram": 4.558803396906045e-06,
38
- "gpu": 1.4215289150000532e-05,
39
- "total": 2.712959521496219e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
- "value": 368601.1501743645
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
- "max_ram": 1312.07168,
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
- 0.33607986450195315,
59
- 0.043937793731689455
60
  ],
61
  "count": 2,
62
- "total": 0.3800176582336426,
63
- "mean": 0.1900088291168213,
64
- "p50": 0.1900088291168213,
65
- "p90": 0.3068656574249268,
66
- "p95": 0.32147276096343996,
67
- "p99": 0.3331584437942505,
68
- "stdev": 0.14607103538513186,
69
- "stdev_": 76.87591995807963
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
- "value": 21.05165332891304
74
  },
75
  "energy": null,
76
  "efficiency": null
@@ -78,7 +78,7 @@
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
- "max_ram": 1312.07168,
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
- 0.04326092910766602,
91
- 0.043028480529785154,
92
- 0.04348723220825195
93
  ],
94
  "count": 3,
95
- "total": 0.12977664184570312,
96
- "mean": 0.04325888061523437,
97
- "p50": 0.04326092910766602,
98
- "p90": 0.043441971588134766,
99
- "p95": 0.04346460189819336,
100
- "p99": 0.04348270614624023,
101
- "stdev": 0.0001872901899281037,
102
- "stdev_": 0.43295200260486216
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
- "value": 138.69984416302708
107
  },
108
  "energy": null,
109
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1312.62464,
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
+ 0.3353691101074219,
15
+ 0.04458684921264648,
16
+ 0.04300902557373047,
17
+ 0.04370211029052734,
18
+ 0.04394291305541992
19
  ],
20
  "count": 5,
21
+ "total": 0.5106100082397461,
22
+ "mean": 0.10212200164794923,
23
+ "p50": 0.04394291305541992,
24
+ "p90": 0.21905620574951173,
25
+ "p95": 0.2772126579284667,
26
+ "p99": 0.32373781967163084,
27
+ "stdev": 0.11662464693749776,
28
+ "stdev_": 114.20129360521574
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
+ "value": 97.92209160248883
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
+ "cpu": 8.384936869444341e-06,
37
+ "ram": 4.576230541083123e-06,
38
+ "gpu": 1.4484456032000294e-05,
39
+ "total": 2.744562344252776e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
+ "value": 364356.8170692279
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
+ "max_ram": 1312.62464,
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
+ 0.3353691101074219,
59
+ 0.04458684921264648
60
  ],
61
  "count": 2,
62
+ "total": 0.37995595932006837,
63
+ "mean": 0.18997797966003419,
64
+ "p50": 0.18997797966003419,
65
+ "p90": 0.30629088401794435,
66
+ "p95": 0.3208299970626831,
67
+ "p99": 0.33246128749847415,
68
+ "stdev": 0.1453911304473877,
69
+ "stdev_": 76.53051722497801
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
+ "value": 21.055071788625213
74
  },
75
  "energy": null,
76
  "efficiency": null
 
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
+ "max_ram": 1312.62464,
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
+ 0.04300902557373047,
91
+ 0.04370211029052734,
92
+ 0.04394291305541992
93
  ],
94
  "count": 3,
95
+ "total": 0.13065404891967775,
96
+ "mean": 0.04355134963989258,
97
+ "p50": 0.04370211029052734,
98
+ "p90": 0.0438947525024414,
99
+ "p95": 0.04391883277893066,
100
+ "p99": 0.043938097000122064,
101
+ "stdev": 0.00039588132687202023,
102
+ "stdev_": 0.9089989865880003
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 137.76840556289127
107
  },
108
  "energy": null,
109
  "efficiency": null