IlyasMoutawwakil HF staff commited on
Commit
e175e3b
·
verified ·
1 Parent(s): 22fc50b

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": 1295.659008,
6
  "max_global_vram": 3176.660992,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 2520.776704,
@@ -10,42 +10,43 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 5,
14
- "total": 0.5089198150634765,
15
- "mean": 0.1017839630126953,
16
- "stdev": 0.11897361560565836,
17
- "p50": 0.04234854507446289,
18
- "p90": 0.22095012207031253,
19
- "p95": 0.28034028015136714,
20
- "p99": 0.32785240661621096,
21
  "values": [
22
- 0.3397304382324219,
23
- 0.04277964782714844,
24
- 0.04222054290771484,
25
- 0.04234854507446289,
26
- 0.04184064102172851
27
- ]
 
 
 
 
 
 
 
 
 
28
  },
29
  "throughput": {
30
  "unit": "samples/s",
31
- "value": 98.24730442803373
32
  },
33
  "energy": {
34
  "unit": "kWh",
35
- "cpu": 1.0093141553472131e-05,
36
- "ram": 5.511422898949989e-06,
37
- "gpu": 1.824945904399999e-05,
38
- "total": 3.385402349642211e-05
39
  },
40
  "efficiency": {
41
  "unit": "samples/kWh",
42
- "value": 295385.86457993265
43
  }
44
  },
45
  "warmup": {
46
  "memory": {
47
  "unit": "MB",
48
- "max_ram": 1295.659008,
49
  "max_global_vram": 3176.660992,
50
  "max_process_vram": 0.0,
51
  "max_reserved": 2520.776704,
@@ -53,22 +54,23 @@
53
  },
54
  "latency": {
55
  "unit": "s",
56
- "count": 2,
57
- "total": 0.3825100860595703,
58
- "mean": 0.19125504302978516,
59
- "stdev": 0.14847539520263672,
60
- "p50": 0.19125504302978516,
61
- "p90": 0.31003535919189457,
62
- "p95": 0.3248828987121582,
63
- "p99": 0.3367609303283691,
64
  "values": [
65
- 0.3397304382324219,
66
- 0.04277964782714844
67
- ]
 
 
 
 
 
 
 
 
 
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
- "value": 20.914481190318515
72
  },
73
  "energy": null,
74
  "efficiency": null
@@ -76,7 +78,7 @@
76
  "train": {
77
  "memory": {
78
  "unit": "MB",
79
- "max_ram": 1295.659008,
80
  "max_global_vram": 3176.660992,
81
  "max_process_vram": 0.0,
82
  "max_reserved": 2520.776704,
@@ -84,23 +86,24 @@
84
  },
85
  "latency": {
86
  "unit": "s",
87
- "count": 3,
88
- "total": 0.12640972900390623,
89
- "mean": 0.04213657633463541,
90
- "stdev": 0.0002156840602084879,
91
- "p50": 0.04222054290771484,
92
- "p90": 0.04232294464111328,
93
- "p95": 0.042335744857788085,
94
- "p99": 0.04234598503112793,
95
  "values": [
96
- 0.04222054290771484,
97
- 0.04234854507446289,
98
- 0.04184064102172851
99
- ]
 
 
 
 
 
 
 
 
 
100
  },
101
  "throughput": {
102
  "unit": "samples/s",
103
- "value": 142.39410322162604
104
  },
105
  "energy": null,
106
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1297.682432,
6
  "max_global_vram": 3176.660992,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 2520.776704,
 
10
  },
11
  "latency": {
12
  "unit": "s",
 
 
 
 
 
 
 
 
13
  "values": [
14
+ 0.3374858093261719,
15
+ 0.044014591217041016,
16
+ 0.0428144645690918,
17
+ 0.04270182418823242,
18
+ 0.04264550399780274
19
+ ],
20
+ "count": 5,
21
+ "total": 0.5096621932983398,
22
+ "mean": 0.10193243865966797,
23
+ "p50": 0.0428144645690918,
24
+ "p90": 0.22009732208251956,
25
+ "p95": 0.27879156570434566,
26
+ "p99": 0.32574696060180663,
27
+ "stdev": 0.11777776416418928,
28
+ "stdev_": 115.54492928146817
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
+ "value": 98.10419657855925
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
+ "cpu": 1.0418849901389316e-05,
37
+ "ram": 5.690647167456066e-06,
38
+ "gpu": 1.5730290362000326e-05,
39
+ "total": 3.183978743084571e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
+ "value": 314072.4485588811
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
+ "max_ram": 1297.682432,
50
  "max_global_vram": 3176.660992,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 2520.776704,
 
54
  },
55
  "latency": {
56
  "unit": "s",
 
 
 
 
 
 
 
 
57
  "values": [
58
+ 0.3374858093261719,
59
+ 0.044014591217041016
60
+ ],
61
+ "count": 2,
62
+ "total": 0.3815004005432129,
63
+ "mean": 0.19075020027160644,
64
+ "p50": 0.19075020027160644,
65
+ "p90": 0.3081386875152588,
66
+ "p95": 0.3228122484207153,
67
+ "p99": 0.3345510971450806,
68
+ "stdev": 0.14673560905456545,
69
+ "stdev_": 76.92553341785788
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
+ "value": 20.969833815662884
74
  },
75
  "energy": null,
76
  "efficiency": null
 
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
+ "max_ram": 1297.682432,
82
  "max_global_vram": 3176.660992,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 2520.776704,
 
86
  },
87
  "latency": {
88
  "unit": "s",
 
 
 
 
 
 
 
 
89
  "values": [
90
+ 0.0428144645690918,
91
+ 0.04270182418823242,
92
+ 0.04264550399780274
93
+ ],
94
+ "count": 3,
95
+ "total": 0.12816179275512696,
96
+ "mean": 0.04272059758504232,
97
+ "p50": 0.04270182418823242,
98
+ "p90": 0.04279193649291992,
99
+ "p95": 0.04280320053100586,
100
+ "p99": 0.04281221176147461,
101
+ "stdev": 7.024361884858445e-05,
102
+ "stdev_": 0.1644256466889375
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 140.44747356485408
107
  },
108
  "energy": null,
109
  "efficiency": null