IlyasMoutawwakil HF staff commited on
Commit
f899074
·
verified ·
1 Parent(s): bec5d83

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

Browse files
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": 1323.2128,
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
- 0.3463475341796875,
15
- 0.04583731079101563,
16
- 0.045271041870117185,
17
- 0.04515532684326172,
18
- 0.04574515151977539
19
  ],
20
  "count": 5,
21
- "total": 0.5283563652038574,
22
- "mean": 0.10567127304077148,
23
- "p50": 0.04574515151977539,
24
- "p90": 0.22614344482421878,
25
- "p95": 0.28624548950195305,
26
- "p99": 0.3343271252441406,
27
- "stdev": 0.12033841732756043,
28
- "stdev_": 113.87997311353473
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
- "value": 94.6330985919103
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
- "cpu": 1.0464160485415716e-05,
37
- "ram": 5.6928898508187424e-06,
38
- "gpu": 1.587667936799996e-05,
39
- "total": 3.203372970423442e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
- "value": 312170.95518784184
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
- "max_ram": 1323.2128,
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
- 0.3463475341796875,
59
- 0.04583731079101563
60
  ],
61
  "count": 2,
62
- "total": 0.3921848449707031,
63
- "mean": 0.19609242248535155,
64
- "p50": 0.19609242248535155,
65
- "p90": 0.3162965118408203,
66
- "p95": 0.3313220230102539,
67
- "p99": 0.3433424319458008,
68
- "stdev": 0.15025511169433592,
69
- "stdev_": 76.6246394378448
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
- "value": 20.398544468483003
74
  },
75
  "energy": null,
76
  "efficiency": null
@@ -78,7 +78,7 @@
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
- "max_ram": 1323.2128,
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
- 0.045271041870117185,
91
- 0.04515532684326172,
92
- 0.04574515151977539
93
  ],
94
  "count": 3,
95
- "total": 0.1361715202331543,
96
- "mean": 0.045390506744384766,
97
- "p50": 0.045271041870117185,
98
- "p90": 0.04565032958984375,
99
- "p95": 0.04569774055480957,
100
- "p99": 0.045735669326782226,
101
- "stdev": 0.00025518252212085297,
102
- "stdev_": 0.5621935960263793
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
- "value": 132.18623078585165
107
  },
108
  "energy": null,
109
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1323.45856,
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
+ 0.3471575012207031,
15
+ 0.0462213134765625,
16
+ 0.04601958465576172,
17
+ 0.04560793685913086,
18
+ 0.045693950653076174
19
  ],
20
  "count": 5,
21
+ "total": 0.5307002868652343,
22
+ "mean": 0.10614005737304685,
23
+ "p50": 0.04601958465576172,
24
+ "p90": 0.2267830261230469,
25
+ "p95": 0.28697026367187495,
26
+ "p99": 0.33512005371093745,
27
+ "stdev": 0.12050892479833498,
28
+ "stdev_": 113.53764806701241
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
+ "value": 94.21513656105668
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
+ "cpu": 1.0454858675694666e-05,
37
+ "ram": 5.708817696031509e-06,
38
+ "gpu": 1.5499456844000545e-05,
39
+ "total": 3.166313321572672e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
+ "value": 315824.7142463183
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
+ "max_ram": 1323.45856,
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
+ 0.3471575012207031,
59
+ 0.0462213134765625
60
  ],
61
  "count": 2,
62
+ "total": 0.3933788146972656,
63
+ "mean": 0.1966894073486328,
64
+ "p50": 0.1966894073486328,
65
+ "p90": 0.317063882446289,
66
+ "p95": 0.33211069183349606,
67
+ "p99": 0.3441481393432617,
68
+ "stdev": 0.1504680938720703,
69
+ "stdev_": 76.50035449309426
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
+ "value": 20.33663151422274
74
  },
75
  "energy": null,
76
  "efficiency": null
 
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
+ "max_ram": 1323.45856,
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
+ 0.04601958465576172,
91
+ 0.04560793685913086,
92
+ 0.045693950653076174
93
  ],
94
  "count": 3,
95
+ "total": 0.13732147216796875,
96
+ "mean": 0.045773824055989586,
97
+ "p50": 0.045693950653076174,
98
+ "p90": 0.04595445785522461,
99
+ "p95": 0.045987021255493164,
100
+ "p99": 0.04601307197570801,
101
+ "stdev": 0.00017729128101796453,
102
+ "stdev_": 0.3873202308837154
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 131.07928218234346
107
  },
108
  "energy": null,
109
  "efficiency": null