Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
42ab03d
·
verified ·
1 Parent(s): fa44a49

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 +45 -45
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": 1322.725376,
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
- 0.3490426940917969,
15
- 0.04614246368408203,
16
- 0.04479487991333008,
17
- 0.04490243148803711,
18
- 0.045415424346923826
19
  ],
20
  "count": 5,
21
- "total": 0.53029789352417,
22
- "mean": 0.106059578704834,
23
- "p50": 0.045415424346923826,
24
- "p90": 0.22788260192871096,
25
- "p95": 0.28846264801025384,
26
- "p99": 0.33692668487548827,
27
- "stdev": 0.12149249233352721,
28
- "stdev_": 114.55117379981617
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
- "value": 94.28662759287596
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
- "cpu": 1.0633566654167483e-05,
37
- "ram": 5.7800074833378415e-06,
38
- "gpu": 1.756001404799954e-05,
39
- "total": 3.397358818550487e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
- "value": 294346.3005849523
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
- "max_ram": 1322.725376,
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
- 0.3490426940917969,
59
- 0.04614246368408203
60
  ],
61
  "count": 2,
62
- "total": 0.3951851577758789,
63
- "mean": 0.19759257888793946,
64
- "p50": 0.19759257888793946,
65
- "p90": 0.3187526710510254,
66
- "p95": 0.3338976825714111,
67
- "p99": 0.34601369178771973,
68
- "stdev": 0.15145011520385743,
69
- "stdev_": 76.64767374170931
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
- "value": 20.243675255984776
74
  },
75
  "energy": null,
76
  "efficiency": null
@@ -78,7 +78,7 @@
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
- "max_ram": 1322.725376,
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
- 0.04479487991333008,
91
- 0.04490243148803711,
92
- 0.045415424346923826
93
  ],
94
  "count": 3,
95
- "total": 0.13511273574829102,
96
- "mean": 0.04503757858276367,
97
- "p50": 0.04490243148803711,
98
- "p90": 0.04531282577514648,
99
- "p95": 0.045364125061035154,
100
- "p99": 0.04540516448974609,
101
- "stdev": 0.00027076115111024596,
102
- "stdev_": 0.601189405892858
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
- "value": 133.22208228788435
107
  },
108
  "energy": null,
109
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1322.688512,
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
+ 0.34734182739257813,
15
+ 0.04602265548706055,
16
+ 0.04538982391357422,
17
+ 0.046491649627685545,
18
+ 0.045795326232910154
19
  ],
20
  "count": 5,
21
+ "total": 0.5310412826538086,
22
+ "mean": 0.10620825653076171,
23
+ "p50": 0.04602265548706055,
24
+ "p90": 0.22700175628662111,
25
+ "p95": 0.28717179183959957,
26
+ "p99": 0.3353078202819824,
27
+ "stdev": 0.12056731116083097,
28
+ "stdev_": 113.51971597981215
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
+ "value": 94.1546385059399
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
+ "cpu": 1.0560039115972113e-05,
37
+ "ram": 5.752754560137389e-06,
38
+ "gpu": 1.7728069738001673e-05,
39
+ "total": 3.4040863414111176e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
+ "value": 293764.5816543724
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
+ "max_ram": 1322.688512,
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
+ 0.34734182739257813,
59
+ 0.04602265548706055
60
  ],
61
  "count": 2,
62
+ "total": 0.39336448287963865,
63
+ "mean": 0.19668224143981933,
64
+ "p50": 0.19668224143981933,
65
+ "p90": 0.3172099102020264,
66
+ "p95": 0.33227586879730225,
67
+ "p99": 0.34432863567352295,
68
+ "stdev": 0.15065958595275877,
69
+ "stdev_": 76.60050284654574
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
+ "value": 20.337372457817533
74
  },
75
  "energy": null,
76
  "efficiency": null
 
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
+ "max_ram": 1322.688512,
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
+ 0.04538982391357422,
91
+ 0.046491649627685545,
92
+ 0.045795326232910154
93
  ],
94
  "count": 3,
95
+ "total": 0.1376767997741699,
96
+ "mean": 0.04589226659138997,
97
+ "p50": 0.045795326232910154,
98
+ "p90": 0.046352384948730466,
99
+ "p95": 0.04642201728820801,
100
+ "p99": 0.04647772315979004,
101
+ "stdev": 0.00045501139245509036,
102
+ "stdev_": 0.9914772711192626
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 130.74098199206583
107
  },
108
  "energy": null,
109
  "efficiency": null