Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
c5cff28
·
verified ·
1 Parent(s): 2abad70

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

Browse files
Files changed (1) hide show
  1. cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json +45 -45
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": 1336.733696,
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
- 0.3547565612792969,
15
- 0.04591206359863281,
16
- 0.04492591857910156,
17
- 0.044963775634765626,
18
- 0.045125633239746096
19
  ],
20
  "count": 5,
21
- "total": 0.535683952331543,
22
- "mean": 0.1071367904663086,
23
- "p50": 0.045125633239746096,
24
- "p90": 0.2312187622070313,
25
- "p95": 0.29298766174316404,
26
- "p99": 0.3424027813720703,
27
- "stdev": 0.12381040186695588,
28
- "stdev_": 115.56291851573681
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
- "value": 93.33861838193397
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
- "cpu": 1.0544128591665786e-05,
37
- "ram": 5.759322349229622e-06,
38
- "gpu": 1.684890236799963e-05,
39
- "total": 3.3152353308895036e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
- "value": 301637.7120147583
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
- "max_ram": 1336.733696,
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
- 0.3547565612792969,
59
- 0.04591206359863281
60
  ],
61
  "count": 2,
62
- "total": 0.4006686248779297,
63
- "mean": 0.20033431243896485,
64
- "p50": 0.20033431243896485,
65
- "p90": 0.32387211151123046,
66
- "p95": 0.33931433639526365,
67
- "p99": 0.35166811630249023,
68
- "stdev": 0.15442224884033204,
69
- "stdev_": 77.08227660070929
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
- "value": 19.966624545251907
74
  },
75
  "energy": null,
76
  "efficiency": null
@@ -78,7 +78,7 @@
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
- "max_ram": 1336.733696,
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
- 0.04492591857910156,
91
- 0.044963775634765626,
92
- 0.045125633239746096
93
  ],
94
  "count": 3,
95
- "total": 0.13501532745361328,
96
- "mean": 0.045005109151204425,
97
- "p50": 0.044963775634765626,
98
- "p90": 0.04509326171875,
99
- "p95": 0.04510944747924805,
100
- "p99": 0.04512239608764649,
101
- "stdev": 8.661343662114639e-05,
102
- "stdev_": 0.1924524531873698
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
- "value": 133.31819682609142
107
  },
108
  "energy": null,
109
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1337.294848,
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
+ 0.3582699584960938,
15
+ 0.046025726318359376,
16
+ 0.04578815841674805,
17
+ 0.04535910415649414,
18
+ 0.045824001312255856
19
  ],
20
  "count": 5,
21
+ "total": 0.5412669486999512,
22
+ "mean": 0.10825338973999024,
23
+ "p50": 0.045824001312255856,
24
+ "p90": 0.23337226562500005,
25
+ "p95": 0.29582111206054684,
26
+ "p99": 0.3457801892089844,
27
+ "stdev": 0.12500847296905654,
28
+ "stdev_": 115.47765226503273
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
+ "value": 92.37586022958381
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
+ "cpu": 1.0605789315277687e-05,
37
+ "ram": 5.784645657058951e-06,
38
+ "gpu": 1.7276124931999738e-05,
39
+ "total": 3.3666559904336374e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
+ "value": 297030.64490149956
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
+ "max_ram": 1337.294848,
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
+ 0.3582699584960938,
59
+ 0.046025726318359376
60
  ],
61
  "count": 2,
62
+ "total": 0.40429568481445316,
63
+ "mean": 0.20214784240722658,
64
+ "p50": 0.20214784240722658,
65
+ "p90": 0.32704553527832037,
66
+ "p95": 0.34265774688720707,
67
+ "p99": 0.35514751617431645,
68
+ "stdev": 0.1561221160888672,
69
+ "stdev_": 77.23165096877926
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
+ "value": 19.787497864765754
74
  },
75
  "energy": null,
76
  "efficiency": null
 
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
+ "max_ram": 1337.294848,
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
+ 0.04578815841674805,
91
+ 0.04535910415649414,
92
+ 0.045824001312255856
93
  ],
94
  "count": 3,
95
+ "total": 0.13697126388549805,
96
+ "mean": 0.04565708796183268,
97
+ "p50": 0.04578815841674805,
98
+ "p90": 0.045816832733154296,
99
+ "p95": 0.045820417022705076,
100
+ "p99": 0.0458232844543457,
101
+ "stdev": 0.0002112138560363624,
102
+ "stdev_": 0.46260912700548906
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 131.4144258393294
107
  },
108
  "energy": null,
109
  "efficiency": null