IlyasMoutawwakil HF staff commited on
Commit
d964dd6
·
verified ·
1 Parent(s): 80aa048

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

Browse files
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": 1381.25312,
6
  "max_global_vram": 4604.821504,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 3948.937216,
@@ -10,42 +10,43 @@
10
  },
11
  "latency": {
12
  "unit": "s",
13
- "count": 5,
14
- "total": 0.7739739685058594,
15
- "mean": 0.15479479370117188,
16
- "stdev": 0.13736707635749054,
17
- "p50": 0.08590029144287109,
18
- "p90": 0.29264588012695314,
19
- "p95": 0.36108594055175774,
20
- "p99": 0.41583798889160156,
21
  "values": [
22
- 0.4295260009765625,
23
- 0.08732569885253906,
24
- 0.08590029144287109,
25
- 0.08565042877197265,
26
- 0.08557154846191406
27
- ]
 
 
 
 
 
 
 
 
 
28
  },
29
  "throughput": {
30
  "unit": "samples/s",
31
- "value": 64.60165591424729
32
  },
33
  "energy": {
34
  "unit": "kWh",
35
- "cpu": 1.3402899461805066e-05,
36
- "ram": 7.293924040982053e-06,
37
- "gpu": 2.3616685560000003e-05,
38
- "total": 4.4313509062787117e-05
39
  },
40
  "efficiency": {
41
  "unit": "samples/kWh",
42
- "value": 225664.81895692705
43
  }
44
  },
45
  "warmup": {
46
  "memory": {
47
  "unit": "MB",
48
- "max_ram": 1381.25312,
49
  "max_global_vram": 4604.821504,
50
  "max_process_vram": 0.0,
51
  "max_reserved": 3948.937216,
@@ -53,22 +54,23 @@
53
  },
54
  "latency": {
55
  "unit": "s",
56
- "count": 2,
57
- "total": 0.5168516998291016,
58
- "mean": 0.2584258499145508,
59
- "stdev": 0.17110015106201173,
60
- "p50": 0.25842584991455075,
61
- "p90": 0.3953059707641602,
62
- "p95": 0.4124159858703613,
63
- "p99": 0.4261039979553223,
64
  "values": [
65
- 0.4295260009765625,
66
- 0.08732569885253906
67
- ]
 
 
 
 
 
 
 
 
 
68
  },
69
  "throughput": {
70
  "unit": "samples/s",
71
- "value": 15.47832773432925
72
  },
73
  "energy": null,
74
  "efficiency": null
@@ -76,7 +78,7 @@
76
  "train": {
77
  "memory": {
78
  "unit": "MB",
79
- "max_ram": 1381.25312,
80
  "max_global_vram": 4604.821504,
81
  "max_process_vram": 0.0,
82
  "max_reserved": 3948.937216,
@@ -84,23 +86,24 @@
84
  },
85
  "latency": {
86
  "unit": "s",
87
- "count": 3,
88
- "total": 0.2571222686767578,
89
- "mean": 0.0857074228922526,
90
- "stdev": 0.00014012906953232455,
91
- "p50": 0.08565042877197265,
92
- "p90": 0.08585031890869141,
93
- "p95": 0.08587530517578125,
94
- "p99": 0.08589529418945312,
95
  "values": [
96
- 0.08590029144287109,
97
- 0.08565042877197265,
98
- 0.08557154846191406
99
- ]
 
 
 
 
 
 
 
 
 
100
  },
101
  "throughput": {
102
  "unit": "samples/s",
103
- "value": 70.00560508677204
104
  },
105
  "energy": null,
106
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1468.198912,
6
  "max_global_vram": 4604.821504,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 3948.937216,
 
10
  },
11
  "latency": {
12
  "unit": "s",
 
 
 
 
 
 
 
 
13
  "values": [
14
+ 0.41803775024414064,
15
+ 0.08816230773925782,
16
+ 0.08606310272216797,
17
+ 0.08585625457763672,
18
+ 0.08665497589111328
19
+ ],
20
+ "count": 5,
21
+ "total": 0.7647743911743164,
22
+ "mean": 0.15295487823486328,
23
+ "p50": 0.08665497589111328,
24
+ "p90": 0.28608757324218753,
25
+ "p95": 0.35206266174316403,
26
+ "p99": 0.4048427325439453,
27
+ "stdev": 0.1325438932601881,
28
+ "stdev_": 86.65555148667178
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
+ "value": 65.37875820243491
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
+ "cpu": 1.3235443972222072e-05,
37
+ "ram": 7.233620108609345e-06,
38
+ "gpu": 2.744641084599913e-05,
39
+ "total": 4.791547492683055e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
+ "value": 208700.84279182303
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
+ "max_ram": 1468.198912,
50
  "max_global_vram": 4604.821504,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 3948.937216,
 
54
  },
55
  "latency": {
56
  "unit": "s",
 
 
 
 
 
 
 
 
57
  "values": [
58
+ 0.41803775024414064,
59
+ 0.08816230773925782
60
+ ],
61
+ "count": 2,
62
+ "total": 0.5062000579833985,
63
+ "mean": 0.25310002899169926,
64
+ "p50": 0.25310002899169926,
65
+ "p90": 0.38505020599365236,
66
+ "p95": 0.40154397811889647,
67
+ "p99": 0.4147389958190918,
68
+ "stdev": 0.1649377212524414,
69
+ "stdev_": 65.16701001952502
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
+ "value": 15.804028217362177
74
  },
75
  "energy": null,
76
  "efficiency": null
 
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
+ "max_ram": 1468.198912,
82
  "max_global_vram": 4604.821504,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 3948.937216,
 
86
  },
87
  "latency": {
88
  "unit": "s",
 
 
 
 
 
 
 
 
89
  "values": [
90
+ 0.08606310272216797,
91
+ 0.08585625457763672,
92
+ 0.08665497589111328
93
+ ],
94
+ "count": 3,
95
+ "total": 0.25857433319091794,
96
+ "mean": 0.08619144439697264,
97
+ "p50": 0.08606310272216797,
98
+ "p90": 0.08653660125732421,
99
+ "p95": 0.08659578857421875,
100
+ "p99": 0.08664313842773437,
101
+ "stdev": 0.0003384697162910163,
102
+ "stdev_": 0.3926952595574609
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 69.61247768822334
107
  },
108
  "energy": null,
109
  "efficiency": null