IlyasMoutawwakil HF staff commited on
Commit
5094d07
·
verified ·
1 Parent(s): 3c1f5ed

Upload cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_report.json with huggingface_hub

Browse files
cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1299.648512,
6
  "max_global_vram": 3176.660992,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 2520.776704,
@@ -11,42 +11,42 @@
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
- 0.3388190612792969,
15
- 0.045000705718994144,
16
- 0.04358860778808594,
17
- 0.04275711822509766,
18
- 0.043240447998046876
19
  ],
20
  "count": 5,
21
- "total": 0.5134059410095214,
22
- "mean": 0.10268118820190428,
23
- "p50": 0.04358860778808594,
24
- "p90": 0.2212917190551758,
25
- "p95": 0.2800553901672363,
26
- "p99": 0.32706632705688476,
27
- "stdev": 0.11807130216907694,
28
- "stdev_": 114.98825075622491
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
- "value": 97.38882238425971
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
- "cpu": 1.0240684376389019e-05,
37
- "ram": 5.593069949145118e-06,
38
- "gpu": 1.7523625130000473e-05,
39
- "total": 3.3357379455534606e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
- "value": 299783.7409059666
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
- "max_ram": 1299.648512,
50
  "max_global_vram": 3176.660992,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 2520.776704,
@@ -55,22 +55,22 @@
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
- 0.3388190612792969,
59
- 0.045000705718994144
60
  ],
61
  "count": 2,
62
- "total": 0.383819766998291,
63
- "mean": 0.1919098834991455,
64
- "p50": 0.1919098834991455,
65
- "p90": 0.3094372257232666,
66
- "p95": 0.3241281435012817,
67
- "p99": 0.33588087772369385,
68
- "stdev": 0.1469091777801514,
69
- "stdev_": 76.55112655039756
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
- "value": 20.84311619113567
74
  },
75
  "energy": null,
76
  "efficiency": null
@@ -78,7 +78,7 @@
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
- "max_ram": 1299.648512,
82
  "max_global_vram": 3176.660992,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 2520.776704,
@@ -87,23 +87,23 @@
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
- 0.04358860778808594,
91
- 0.04275711822509766,
92
- 0.043240447998046876
93
  ],
94
  "count": 3,
95
- "total": 0.1295861740112305,
96
- "mean": 0.04319539133707683,
97
- "p50": 0.043240447998046876,
98
- "p90": 0.043518975830078126,
99
- "p95": 0.04355379180908203,
100
- "p99": 0.043581644592285154,
101
- "stdev": 0.00034094603714071554,
102
- "stdev_": 0.7893111431266604
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
- "value": 138.9037074158856
107
  },
108
  "energy": null,
109
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1299.501056,
6
  "max_global_vram": 3176.660992,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 2520.776704,
 
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
+ 0.3396843566894531,
15
+ 0.044179359436035154,
16
+ 0.04273152160644531,
17
+ 0.04246835327148438,
18
+ 0.04290659332275391
19
  ],
20
  "count": 5,
21
+ "total": 0.5119701843261719,
22
+ "mean": 0.10239403686523438,
23
+ "p50": 0.04290659332275391,
24
+ "p90": 0.22148235778808598,
25
+ "p95": 0.2805833572387695,
26
+ "p99": 0.3278641567993164,
27
+ "stdev": 0.11864662133484377,
28
+ "stdev_": 115.87258884128202
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
+ "value": 97.66193721965931
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
+ "cpu": 1.0363620561115758e-05,
37
+ "ram": 5.65996527494467e-06,
38
+ "gpu": 1.740890281599558e-05,
39
+ "total": 3.343248865205601e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
+ "value": 299110.2488382966
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
+ "max_ram": 1299.501056,
50
  "max_global_vram": 3176.660992,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 2520.776704,
 
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
+ 0.3396843566894531,
59
+ 0.044179359436035154
60
  ],
61
  "count": 2,
62
+ "total": 0.3838637161254883,
63
+ "mean": 0.19193185806274415,
64
+ "p50": 0.19193185806274415,
65
+ "p90": 0.31013385696411133,
66
+ "p95": 0.3249091068267822,
67
+ "p99": 0.3367293067169189,
68
+ "stdev": 0.147752498626709,
69
+ "stdev_": 76.98174764629614
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
+ "value": 20.840729831794604
74
  },
75
  "energy": null,
76
  "efficiency": null
 
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
+ "max_ram": 1299.501056,
82
  "max_global_vram": 3176.660992,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 2520.776704,
 
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
+ 0.04273152160644531,
91
+ 0.04246835327148438,
92
+ 0.04290659332275391
93
  ],
94
  "count": 3,
95
+ "total": 0.12810646820068358,
96
+ "mean": 0.04270215606689453,
97
+ "p50": 0.04273152160644531,
98
+ "p90": 0.04287157897949219,
99
+ "p95": 0.042889086151123045,
100
+ "p99": 0.04290309188842773,
101
+ "stdev": 0.00018011170019187415,
102
+ "stdev_": 0.4217859630078688
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 140.50812775356763
107
  },
108
  "energy": null,
109
  "efficiency": null