IlyasMoutawwakil HF staff commited on
Commit
f3ab97d
·
verified ·
1 Parent(s): e67e22f

Upload cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json with huggingface_hub

Browse files
cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1318.8096,
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": 0.5275463600158691,
15
- "mean": 0.10550927200317381,
16
- "stdev": 0.12013388601544032,
17
- "p50": 0.045369342803955076,
18
- "p90": 0.2258898910522461,
19
- "p95": 0.2858330070495605,
20
- "p99": 0.3337874998474121,
21
  "values": [
22
- 0.345776123046875,
23
- 0.04606054306030274,
24
- 0.045369342803955076,
25
- 0.04507648086547852,
26
- 0.04526387023925781
27
  ]
28
  },
29
  "throughput": {
30
  "unit": "samples/s",
31
- "value": 94.77840013623818
32
  },
33
  "energy": {
34
  "unit": "kWh",
35
- "cpu": 1.0370463309027559e-05,
36
- "ram": 5.6638340625943384e-06,
37
- "gpu": 1.7827514262000813e-05,
38
- "total": 3.386181163362271e-05
39
  },
40
  "efficiency": {
41
  "unit": "samples/kWh",
42
- "value": 295317.92652436264
43
  }
44
  },
45
  "warmup": {
46
  "memory": {
47
  "unit": "MB",
48
- "max_ram": 1318.8096,
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": 0.3918366661071777,
58
- "mean": 0.19591833305358886,
59
- "stdev": 0.1498577899932861,
60
- "p50": 0.19591833305358886,
61
- "p90": 0.31580456504821774,
62
- "p95": 0.33079034404754637,
63
- "p99": 0.3427789672470093,
64
  "values": [
65
- 0.345776123046875,
66
- 0.04606054306030274
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
- "value": 20.41667024037967
72
  },
73
  "energy": null,
74
  "efficiency": null
@@ -76,7 +76,7 @@
76
  "train": {
77
  "memory": {
78
  "unit": "MB",
79
- "max_ram": 1318.8096,
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": 0.13570969390869142,
89
- "mean": 0.04523656463623047,
90
- "stdev": 0.00012110938779901168,
91
- "p50": 0.04526387023925781,
92
- "p90": 0.04534824829101562,
93
- "p95": 0.04535879554748535,
94
- "p99": 0.04536723335266113,
95
  "values": [
96
- 0.045369342803955076,
97
- 0.04507648086547852,
98
- 0.04526387023925781
99
  ]
100
  },
101
  "throughput": {
102
  "unit": "samples/s",
103
- "value": 132.63606660339838
104
  },
105
  "energy": null,
106
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1318.637568,
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": 0.5286174812316895,
15
+ "mean": 0.1057234962463379,
16
+ "stdev": 0.12025261375131033,
17
+ "p50": 0.045900798797607424,
18
+ "p90": 0.22614487609863285,
19
+ "p95": 0.28618629913330074,
20
+ "p99": 0.33421943756103517,
21
  "values": [
22
+ 0.34622772216796877,
23
+ 0.045900798797607424,
24
+ 0.046020606994628906,
25
+ 0.04541747283935547,
26
+ 0.045050880432128904
27
  ]
28
  },
29
  "throughput": {
30
  "unit": "samples/s",
31
+ "value": 94.58635360203938
32
  },
33
  "energy": {
34
  "unit": "kWh",
35
+ "cpu": 1.0345963640971769e-05,
36
+ "ram": 5.6352790317454135e-06,
37
+ "gpu": 1.5663901420000237e-05,
38
+ "total": 3.164514409271742e-05
39
  },
40
  "efficiency": {
41
  "unit": "samples/kWh",
42
+ "value": 316004.2492048986
43
  }
44
  },
45
  "warmup": {
46
  "memory": {
47
  "unit": "MB",
48
+ "max_ram": 1318.637568,
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": 0.3921285209655762,
58
+ "mean": 0.1960642604827881,
59
+ "stdev": 0.1501634616851807,
60
+ "p50": 0.1960642604827881,
61
+ "p90": 0.3161950298309326,
62
+ "p95": 0.33121137599945066,
63
+ "p99": 0.3432244529342651,
64
  "values": [
65
+ 0.34622772216796877,
66
+ 0.045900798797607424
67
  ]
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
+ "value": 20.4014744459312
72
  },
73
  "energy": null,
74
  "efficiency": null
 
76
  "train": {
77
  "memory": {
78
  "unit": "MB",
79
+ "max_ram": 1318.637568,
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": 0.1364889602661133,
89
+ "mean": 0.04549632008870443,
90
+ "stdev": 0.00039979583794060036,
91
+ "p50": 0.04541747283935547,
92
+ "p90": 0.04589998016357422,
93
+ "p95": 0.045960293579101565,
94
+ "p99": 0.04600854431152344,
95
  "values": [
96
+ 0.046020606994628906,
97
+ 0.04541747283935547,
98
+ 0.045050880432128904
99
  ]
100
  },
101
  "throughput": {
102
  "unit": "samples/s",
103
+ "value": 131.8787978522607
104
  },
105
  "energy": null,
106
  "efficiency": null