IlyasMoutawwakil HF staff commited on
Commit
2639033
·
verified ·
1 Parent(s): 3ca6914

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": 1329.537024,
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
- 0.347261962890625,
15
- 0.04671590423583984,
16
- 0.04677628707885742,
17
- 0.046475265502929686,
18
- 0.045813758850097655
19
  ],
20
  "count": 5,
21
- "total": 0.5330431785583496,
22
- "mean": 0.10660863571166992,
23
- "p50": 0.04671590423583984,
24
- "p90": 0.22706769256591802,
25
- "p95": 0.28716482772827145,
26
- "p99": 0.3352425358581543,
27
- "stdev": 0.12032714770502179,
28
- "stdev_": 112.86810576063884
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
- "value": 93.80103153224528
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
- "cpu": 8.667436706944424e-06,
37
- "ram": 4.7151901924056095e-06,
38
- "gpu": 1.5952234983999773e-05,
39
- "total": 2.9334861883349806e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
- "value": 340891.32717805315
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
- "max_ram": 1329.537024,
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
- 0.347261962890625,
59
- 0.04671590423583984
60
  ],
61
  "count": 2,
62
- "total": 0.3939778671264648,
63
- "mean": 0.1969889335632324,
64
- "p50": 0.1969889335632324,
65
- "p90": 0.31720735702514646,
66
- "p95": 0.3322346599578857,
67
- "p99": 0.3442565023040771,
68
- "stdev": 0.15027302932739256,
69
- "stdev_": 76.28501084257898
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
- "value": 20.30570919719214
74
  },
75
  "energy": null,
76
  "efficiency": null
@@ -78,7 +78,7 @@
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
- "max_ram": 1329.537024,
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
- 0.04677628707885742,
91
- 0.046475265502929686,
92
- 0.045813758850097655
93
  ],
94
  "count": 3,
95
- "total": 0.13906531143188477,
96
- "mean": 0.04635510381062826,
97
- "p50": 0.046475265502929686,
98
- "p90": 0.046716082763671875,
99
- "p95": 0.046746184921264644,
100
- "p99": 0.04677026664733887,
101
- "stdev": 0.00040203173341782426,
102
- "stdev_": 0.8672868796933785
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
- "value": 129.4355854430063
107
  },
108
  "energy": null,
109
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1334.972416,
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
+ 0.34239385986328125,
15
+ 0.046963710784912106,
16
+ 0.04615167999267578,
17
+ 0.04738252639770508,
18
+ 0.046720001220703126
19
  ],
20
  "count": 5,
21
+ "total": 0.5296117782592773,
22
+ "mean": 0.10592235565185545,
23
+ "p50": 0.046963710784912106,
24
+ "p90": 0.2243893264770508,
25
+ "p95": 0.28339159317016593,
26
+ "p99": 0.3305934065246582,
27
+ "stdev": 0.11823642260878196,
28
+ "stdev_": 111.62555995015846
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
+ "value": 94.40877648971384
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
+ "cpu": 8.79400665347292e-06,
37
+ "ram": 4.799523656351008e-06,
38
+ "gpu": 1.3442510753999652e-05,
39
+ "total": 2.7036041063823582e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
+ "value": 369876.63897954393
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
+ "max_ram": 1334.972416,
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
+ 0.34239385986328125,
59
+ 0.046963710784912106
60
  ],
61
  "count": 2,
62
+ "total": 0.3893575706481934,
63
+ "mean": 0.1946787853240967,
64
+ "p50": 0.1946787853240967,
65
+ "p90": 0.31285084495544435,
66
+ "p95": 0.32762235240936277,
67
+ "p99": 0.33943955837249756,
68
+ "stdev": 0.1477150745391846,
69
+ "stdev_": 75.87630788494596
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
+ "value": 20.54666610612396
74
  },
75
  "energy": null,
76
  "efficiency": null
 
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
+ "max_ram": 1334.972416,
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
+ 0.04615167999267578,
91
+ 0.04738252639770508,
92
+ 0.046720001220703126
93
  ],
94
  "count": 3,
95
+ "total": 0.14025420761108398,
96
+ "mean": 0.046751402537027996,
97
+ "p50": 0.046720001220703126,
98
+ "p90": 0.04725002136230469,
99
+ "p95": 0.04731627388000488,
100
+ "p99": 0.047369275894165036,
101
+ "stdev": 0.0005029812787726041,
102
+ "stdev_": 1.0758635067134796
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 128.33839573578325
107
  },
108
  "energy": null,
109
  "efficiency": null