Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
899ee53
·
verified ·
1 Parent(s): ae4ebaa

Upload cuda_training_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cuda_training_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json +45 -45
cuda_training_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1386.500096,
6
  "max_global_vram": 4604.821504,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 3948.937216,
@@ -11,42 +11,42 @@
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
- 0.41979800415039065,
15
- 0.08888934326171875,
16
- 0.08649625396728515,
17
- 0.08650240325927734,
18
- 0.08633033752441406
19
  ],
20
  "count": 5,
21
- "total": 0.768016342163086,
22
- "mean": 0.1536032684326172,
23
- "p50": 0.08650240325927734,
24
- "p90": 0.28743453979492195,
25
- "p95": 0.3536162719726562,
26
- "p99": 0.40656165771484376,
27
- "stdev": 0.13310075444212988,
28
- "stdev_": 86.65229314473774
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
- "value": 65.10278135381479
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
- "cpu": 1.3300199781945329e-05,
37
- "ram": 7.242361547452085e-06,
38
- "gpu": 2.4179463788000233e-05,
39
- "total": 4.4722025117397647e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
- "value": 223603.46996249564
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
- "max_ram": 1386.500096,
50
  "max_global_vram": 4604.821504,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 3948.937216,
@@ -55,22 +55,22 @@
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
- 0.41979800415039065,
59
- 0.08888934326171875
60
  ],
61
  "count": 2,
62
- "total": 0.5086873474121094,
63
- "mean": 0.2543436737060547,
64
- "p50": 0.2543436737060547,
65
- "p90": 0.38670713806152346,
66
- "p95": 0.403252571105957,
67
- "p99": 0.4164889175415039,
68
- "stdev": 0.16545433044433594,
69
- "stdev_": 65.05148252106781
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
- "value": 15.72675247516793
74
  },
75
  "energy": null,
76
  "efficiency": null
@@ -78,7 +78,7 @@
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
- "max_ram": 1386.500096,
82
  "max_global_vram": 4604.821504,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 3948.937216,
@@ -87,23 +87,23 @@
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
- 0.08649625396728515,
91
- 0.08650240325927734,
92
- 0.08633033752441406
93
  ],
94
  "count": 3,
95
- "total": 0.25932899475097654,
96
- "mean": 0.08644299825032552,
97
- "p50": 0.08649625396728515,
98
- "p90": 0.0865011734008789,
99
- "p95": 0.08650178833007813,
100
- "p99": 0.0865022802734375,
101
- "stdev": 7.970270936496261e-05,
102
- "stdev_": 0.09220262019852193
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
- "value": 69.40990157033806
107
  },
108
  "energy": null,
109
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1386.917888,
6
  "max_global_vram": 4604.821504,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 3948.937216,
 
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
+ 0.4221747131347656,
15
+ 0.09074073791503906,
16
+ 0.08792063903808593,
17
+ 0.08825856018066407,
18
+ 0.08857084655761718
19
  ],
20
  "count": 5,
21
+ "total": 0.7776654968261717,
22
+ "mean": 0.15553309936523435,
23
+ "p50": 0.08857084655761718,
24
+ "p90": 0.289601123046875,
25
+ "p95": 0.35588791809082027,
26
+ "p99": 0.4089173541259766,
27
+ "stdev": 0.1333244553793267,
28
+ "stdev_": 85.72095323982731
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
+ "value": 64.2949959899999
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
+ "cpu": 1.3409542672222587e-05,
37
+ "ram": 7.298270686959867e-06,
38
+ "gpu": 2.345001876000001e-05,
39
+ "total": 4.415783211918246e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
+ "value": 226460.39264359474
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
+ "max_ram": 1386.917888,
50
  "max_global_vram": 4604.821504,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 3948.937216,
 
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
+ 0.4221747131347656,
59
+ 0.09074073791503906
60
  ],
61
  "count": 2,
62
+ "total": 0.5129154510498046,
63
+ "mean": 0.2564577255249023,
64
+ "p50": 0.2564577255249023,
65
+ "p90": 0.38903131561279297,
66
+ "p95": 0.40560301437377927,
67
+ "p99": 0.4188603733825684,
68
+ "stdev": 0.16571698760986328,
69
+ "stdev_": 64.61766252924676
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
+ "value": 15.597112513623989
74
  },
75
  "energy": null,
76
  "efficiency": null
 
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
+ "max_ram": 1386.917888,
82
  "max_global_vram": 4604.821504,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 3948.937216,
 
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
+ 0.08792063903808593,
91
+ 0.08825856018066407,
92
+ 0.08857084655761718
93
  ],
94
  "count": 3,
95
+ "total": 0.2647500457763672,
96
+ "mean": 0.08825001525878906,
97
+ "p50": 0.08825856018066407,
98
+ "p90": 0.08850838928222655,
99
+ "p95": 0.08853961791992188,
100
+ "p99": 0.08856460083007812,
101
+ "stdev": 0.00026551486635231693,
102
+ "stdev_": 0.3008666520608602
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 67.98865679972155
107
  },
108
  "energy": null,
109
  "efficiency": null