IlyasMoutawwakil HF staff commited on
Commit
1bc0e1c
·
verified ·
1 Parent(s): 525bf9b

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

Browse files
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": 1350.41024,
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
- 0.3543132019042969,
15
- 0.04715008163452149,
16
- 0.04573491287231445,
17
- 0.046230430603027346,
18
- 0.046721023559570314
19
  ],
20
  "count": 5,
21
- "total": 0.5401496505737305,
22
- "mean": 0.10802993011474611,
23
- "p50": 0.046721023559570314,
24
- "p90": 0.23144795379638677,
25
- "p95": 0.2928805778503418,
26
- "p99": 0.34202667709350587,
27
- "stdev": 0.12314254768394708,
28
- "stdev_": 113.98928755498481
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
- "value": 92.56693945259711
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
- "cpu": 8.816165634027388e-06,
37
- "ram": 4.811485162661909e-06,
38
- "gpu": 1.5328901151999592e-05,
39
- "total": 2.8956551948688887e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
- "value": 345344.98505623307
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
- "max_ram": 1350.41024,
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
- 0.3543132019042969,
59
- 0.04715008163452149
60
  ],
61
  "count": 2,
62
- "total": 0.4014632835388184,
63
- "mean": 0.2007316417694092,
64
- "p50": 0.2007316417694092,
65
- "p90": 0.3235968898773193,
66
- "p95": 0.3389550458908081,
67
- "p99": 0.3512415707015991,
68
- "stdev": 0.1535815601348877,
69
- "stdev_": 76.51088726276387
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
- "value": 19.92710249734821
74
  },
75
  "energy": null,
76
  "efficiency": null
@@ -78,7 +78,7 @@
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
- "max_ram": 1350.41024,
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
- 0.04573491287231445,
91
- 0.046230430603027346,
92
- 0.046721023559570314
93
  ],
94
  "count": 3,
95
- "total": 0.1386863670349121,
96
- "mean": 0.04622878901163737,
97
- "p50": 0.046230430603027346,
98
- "p90": 0.04662290496826172,
99
- "p95": 0.04667196426391602,
100
- "p99": 0.04671121170043945,
101
- "stdev": 0.00040257967575522713,
102
- "stdev_": 0.8708419241825348
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
- "value": 129.78925315325898
107
  },
108
  "energy": null,
109
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1343.041536,
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
+ 0.3532799987792969,
15
+ 0.04629094314575195,
16
+ 0.04604313659667969,
17
+ 0.045943809509277345,
18
+ 0.04672716903686523
19
  ],
20
  "count": 5,
21
+ "total": 0.5382850570678711,
22
+ "mean": 0.10765701141357423,
23
+ "p50": 0.04629094314575195,
24
+ "p90": 0.23065886688232426,
25
+ "p95": 0.2919694328308105,
26
+ "p99": 0.3410178855895996,
27
+ "stdev": 0.12281179162311413,
28
+ "stdev_": 114.07690963231501
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
+ "value": 92.88758687145872
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
+ "cpu": 8.653095223611257e-06,
37
+ "ram": 4.722668345138327e-06,
38
+ "gpu": 1.3891122223999835e-05,
39
+ "total": 2.7266885792749418e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
+ "value": 366745.2189446261
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
+ "max_ram": 1343.041536,
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
+ 0.3532799987792969,
59
+ 0.04629094314575195
60
  ],
61
  "count": 2,
62
+ "total": 0.39957094192504883,
63
+ "mean": 0.19978547096252441,
64
+ "p50": 0.19978547096252441,
65
+ "p90": 0.3225810932159424,
66
+ "p95": 0.3379305459976196,
67
+ "p99": 0.35021010822296145,
68
+ "stdev": 0.15349452781677247,
69
+ "stdev_": 76.82967488940416
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
+ "value": 20.02147593981104
74
  },
75
  "energy": null,
76
  "efficiency": null
 
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
+ "max_ram": 1343.041536,
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
+ 0.04604313659667969,
91
+ 0.045943809509277345,
92
+ 0.04672716903686523
93
  ],
94
  "count": 3,
95
+ "total": 0.13871411514282228,
96
+ "mean": 0.04623803838094076,
97
+ "p50": 0.04604313659667969,
98
+ "p90": 0.046590362548828125,
99
+ "p95": 0.046658765792846675,
100
+ "p99": 0.04671348838806152,
101
+ "stdev": 0.00034823657332029296,
102
+ "stdev_": 0.7531387262826347
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 129.76329035777584
107
  },
108
  "energy": null,
109
  "efficiency": null