IlyasMoutawwakil HF staff commited on
Commit
53ffc76
·
verified ·
1 Parent(s): 1285709

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": 1333.297152,
6
  "max_global_vram": 3384.27904,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 2728.394752,
@@ -11,41 +11,41 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 5,
14
- "total": 0.5305866127014159,
15
- "mean": 0.1061173225402832,
16
- "stdev": 0.12066951171510963,
17
- "p50": 0.04586598587036133,
18
- "p90": 0.22700891418457034,
19
- "p95": 0.2872321945190429,
20
- "p99": 0.3354108187866211,
21
  "values": [
22
- 0.34745547485351563,
23
- 0.046339073181152345,
24
- 0.04551168060302734,
25
- 0.04541439819335937,
26
- 0.04586598587036133
27
  ]
28
  },
29
  "throughput": {
30
  "unit": "samples/s",
31
- "value": 94.23532144060552
32
  },
33
  "energy": {
34
  "unit": "kWh",
35
- "cpu": 1.010418961729253e-05,
36
- "ram": 5.518366234908519e-06,
37
- "gpu": 1.8876403990009116e-05,
38
- "total": 3.449895984221017e-05
39
  },
40
  "efficiency": {
41
  "unit": "samples/kWh",
42
- "value": 289863.811713094
43
  }
44
  },
45
  "warmup": {
46
  "memory": {
47
  "unit": "MB",
48
- "max_ram": 1333.297152,
49
  "max_global_vram": 3384.27904,
50
  "max_process_vram": 0.0,
51
  "max_reserved": 2728.394752,
@@ -54,21 +54,21 @@
54
  "latency": {
55
  "unit": "s",
56
  "count": 2,
57
- "total": 0.39379454803466796,
58
- "mean": 0.19689727401733398,
59
- "stdev": 0.15055820083618165,
60
- "p50": 0.19689727401733398,
61
- "p90": 0.3173438346862793,
62
- "p95": 0.33239965476989747,
63
- "p99": 0.344444310836792,
64
  "values": [
65
- 0.34745547485351563,
66
- 0.046339073181152345
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
- "value": 20.31516190339871
72
  },
73
  "energy": null,
74
  "efficiency": null
@@ -76,7 +76,7 @@
76
  "train": {
77
  "memory": {
78
  "unit": "MB",
79
- "max_ram": 1333.297152,
80
  "max_global_vram": 3384.27904,
81
  "max_process_vram": 0.0,
82
  "max_reserved": 2728.394752,
@@ -85,22 +85,22 @@
85
  "latency": {
86
  "unit": "s",
87
  "count": 3,
88
- "total": 0.13679206466674804,
89
- "mean": 0.04559735488891601,
90
- "stdev": 0.00019405827295240747,
91
- "p50": 0.04551168060302734,
92
- "p90": 0.04579512481689453,
93
- "p95": 0.045830555343627934,
94
- "p99": 0.04585889976501465,
95
  "values": [
96
- 0.04551168060302734,
97
- 0.04541439819335937,
98
- 0.04586598587036133
99
  ]
100
  },
101
  "throughput": {
102
  "unit": "samples/s",
103
- "value": 131.58658028776367
104
  },
105
  "energy": null,
106
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1333.239808,
6
  "max_global_vram": 3384.27904,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 2728.394752,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 5,
14
+ "total": 0.5310904350280762,
15
+ "mean": 0.10621808700561523,
16
+ "stdev": 0.12178600287446865,
17
+ "p50": 0.04538675308227539,
18
+ "p90": 0.2282371078491211,
19
+ "p95": 0.28901314620971674,
20
+ "p99": 0.33763397689819336,
21
  "values": [
22
+ 0.3497891845703125,
23
+ 0.045908992767333984,
24
+ 0.04498739242553711,
25
+ 0.04538675308227539,
26
+ 0.045018112182617184
27
  ]
28
  },
29
  "throughput": {
30
  "unit": "samples/s",
31
+ "value": 94.14592450221166
32
  },
33
  "energy": {
34
  "unit": "kWh",
35
+ "cpu": 1.0077815970796817e-05,
36
+ "ram": 5.504013079623437e-06,
37
+ "gpu": 1.6129457347968668e-05,
38
+ "total": 3.171128639838892e-05
39
  },
40
  "efficiency": {
41
  "unit": "samples/kWh",
42
+ "value": 315345.1384585914
43
  }
44
  },
45
  "warmup": {
46
  "memory": {
47
  "unit": "MB",
48
+ "max_ram": 1333.239808,
49
  "max_global_vram": 3384.27904,
50
  "max_process_vram": 0.0,
51
  "max_reserved": 2728.394752,
 
54
  "latency": {
55
  "unit": "s",
56
  "count": 2,
57
+ "total": 0.39569817733764645,
58
+ "mean": 0.19784908866882323,
59
+ "stdev": 0.15194009590148924,
60
+ "p50": 0.19784908866882323,
61
+ "p90": 0.3194011653900146,
62
+ "p95": 0.33459517498016356,
63
+ "p99": 0.3467503826522827,
64
  "values": [
65
+ 0.3497891845703125,
66
+ 0.045908992767333984
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
+ "value": 20.21742949089618
72
  },
73
  "energy": null,
74
  "efficiency": null
 
76
  "train": {
77
  "memory": {
78
  "unit": "MB",
79
+ "max_ram": 1333.239808,
80
  "max_global_vram": 3384.27904,
81
  "max_process_vram": 0.0,
82
  "max_reserved": 2728.394752,
 
85
  "latency": {
86
  "unit": "s",
87
  "count": 3,
88
+ "total": 0.13539225769042967,
89
+ "mean": 0.04513075256347656,
90
+ "stdev": 0.00018145362141645116,
91
+ "p50": 0.045018112182617184,
92
+ "p90": 0.04531302490234375,
93
+ "p95": 0.045349888992309566,
94
+ "p99": 0.045379380264282225,
95
  "values": [
96
+ 0.04498739242553711,
97
+ 0.04538675308227539,
98
+ 0.045018112182617184
99
  ]
100
  },
101
  "throughput": {
102
  "unit": "samples/s",
103
+ "value": 132.94704074701568
104
  },
105
  "energy": null,
106
  "efficiency": null