Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
fb7f65b
·
verified ·
1 Parent(s): 18402bc

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

Browse files
Files changed (1) hide show
  1. cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json +51 -51
cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json CHANGED
@@ -2,75 +2,75 @@
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1302.392832,
6
- "max_global_vram": 3386.376192,
7
  "max_process_vram": 0.0,
8
- "max_reserved": 2730.491904,
9
  "max_allocated": 2516.250112
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
- 0.3427113037109375,
15
- 0.05212160110473633,
16
- 0.05079641723632813,
17
- 0.05064191818237305,
18
- 0.051778526306152345
19
  ],
20
  "count": 5,
21
- "total": 0.5480497665405274,
22
- "mean": 0.10960995330810548,
23
- "p50": 0.051778526306152345,
24
- "p90": 0.22647542266845705,
25
- "p95": 0.2845933631896972,
26
- "p99": 0.3310877156066894,
27
- "stdev": 0.11655203588064912,
28
- "stdev_": 106.33344177515518
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
- "value": 91.2325906379208
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
- "cpu": 1.0728535584026766e-05,
37
- "ram": 5.839369358252719e-06,
38
- "gpu": 1.7770847550000086e-05,
39
- "total": 3.433875249227957e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
- "value": 291216.17048401263
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
- "max_ram": 1302.392832,
50
- "max_global_vram": 3386.376192,
51
  "max_process_vram": 0.0,
52
- "max_reserved": 2730.491904,
53
  "max_allocated": 2516.250112
54
  },
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
- 0.3427113037109375,
59
- 0.05212160110473633
60
  ],
61
  "count": 2,
62
- "total": 0.39483290481567385,
63
- "mean": 0.19741645240783692,
64
- "p50": 0.19741645240783692,
65
- "p90": 0.3136523334503174,
66
- "p95": 0.32818181858062745,
67
- "p99": 0.33980540668487547,
68
- "stdev": 0.14529485130310058,
69
- "stdev_": 73.59814723189339
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
- "value": 20.26173579361317
74
  },
75
  "energy": null,
76
  "efficiency": null
@@ -78,32 +78,32 @@
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
- "max_ram": 1302.392832,
82
- "max_global_vram": 3386.376192,
83
  "max_process_vram": 0.0,
84
- "max_reserved": 2730.491904,
85
  "max_allocated": 2516.250112
86
  },
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
- 0.05079641723632813,
91
- 0.05064191818237305,
92
- 0.051778526306152345
93
  ],
94
  "count": 3,
95
- "total": 0.15321686172485352,
96
- "mean": 0.05107228724161784,
97
- "p50": 0.05079641723632813,
98
- "p90": 0.0515821044921875,
99
- "p95": 0.051680315399169924,
100
- "p99": 0.05175888412475586,
101
- "stdev": 0.0005033538858657217,
102
- "stdev_": 0.9855714577348087
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
- "value": 117.48054226775875
107
  },
108
  "energy": null,
109
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1322.696704,
6
+ "max_global_vram": 3384.27904,
7
  "max_process_vram": 0.0,
8
+ "max_reserved": 2728.394752,
9
  "max_allocated": 2516.250112
10
  },
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
+ 0.34757424926757813,
15
+ 0.046132225036621094,
16
+ 0.045712383270263675,
17
+ 0.045259777069091796,
18
+ 0.04489318466186523
19
  ],
20
  "count": 5,
21
+ "total": 0.52957181930542,
22
+ "mean": 0.105914363861084,
23
+ "p50": 0.045712383270263675,
24
+ "p90": 0.22699743957519536,
25
+ "p95": 0.28728584442138666,
26
+ "p99": 0.3355165682983398,
27
+ "stdev": 0.12083066333835565,
28
+ "stdev_": 114.08335841665036
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
+ "value": 94.41590012395183
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
+ "cpu": 1.0507436311111384e-05,
37
+ "ram": 5.739422544467808e-06,
38
+ "gpu": 1.798306994200017e-05,
39
+ "total": 3.422992879757936e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
+ "value": 292142.0041255584
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
+ "max_ram": 1322.696704,
50
+ "max_global_vram": 3384.27904,
51
  "max_process_vram": 0.0,
52
+ "max_reserved": 2728.394752,
53
  "max_allocated": 2516.250112
54
  },
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
+ 0.34757424926757813,
59
+ 0.046132225036621094
60
  ],
61
  "count": 2,
62
+ "total": 0.39370647430419925,
63
+ "mean": 0.19685323715209962,
64
+ "p50": 0.19685323715209962,
65
+ "p90": 0.31743004684448245,
66
+ "p95": 0.3325021480560303,
67
+ "p99": 0.34455982902526855,
68
+ "stdev": 0.1507210121154785,
69
+ "stdev_": 76.56516819127702
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
+ "value": 20.319706487271937
74
  },
75
  "energy": null,
76
  "efficiency": null
 
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
+ "max_ram": 1322.696704,
82
+ "max_global_vram": 3384.27904,
83
  "max_process_vram": 0.0,
84
+ "max_reserved": 2728.394752,
85
  "max_allocated": 2516.250112
86
  },
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
+ 0.045712383270263675,
91
+ 0.045259777069091796,
92
+ 0.04489318466186523
93
  ],
94
  "count": 3,
95
+ "total": 0.13586534500122072,
96
+ "mean": 0.04528844833374024,
97
+ "p50": 0.045259777069091796,
98
+ "p90": 0.0456218620300293,
99
+ "p95": 0.04566712265014649,
100
+ "p99": 0.045703331146240235,
101
+ "stdev": 0.00033505036543072343,
102
+ "stdev_": 0.7398141860848616
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 132.4841150614108
107
  },
108
  "energy": null,
109
  "efficiency": null