IlyasMoutawwakil HF staff commited on
Commit
ee946eb
·
verified ·
1 Parent(s): aeb99ac

Upload cuda_training_transformers_text-generation_hf-internal-testing/tiny-random-LlamaForCausalLM/benchmark_report.json with huggingface_hub

Browse files
cuda_training_transformers_text-generation_hf-internal-testing/tiny-random-LlamaForCausalLM/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 1390.112768,
6
  "max_global_vram": 699.92448,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 44.040192,
@@ -11,42 +11,42 @@
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
- 0.2664407043457031,
15
- 0.008979455947875976,
16
- 0.008157183647155761,
17
- 0.00810598373413086,
18
- 0.008658944129943847
19
  ],
20
  "count": 5,
21
- "total": 0.30034227180480955,
22
- "mean": 0.060068454360961906,
23
- "p50": 0.008658944129943847,
24
- "p90": 0.16345620498657226,
25
- "p95": 0.21494845466613763,
26
- "p99": 0.25614225440979,
27
- "stdev": 0.10318663425616353,
28
- "stdev_": 171.78173694314972
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
- "value": 166.47673236118646
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
- "cpu": 5.988878268055902e-06,
37
- "ram": 3.262465818383985e-06,
38
- "gpu": 7.783895115999907e-06,
39
- "total": 1.7035239202439793e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
- "value": 587018.4669063993
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
- "max_ram": 1390.112768,
50
  "max_global_vram": 699.92448,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 44.040192,
@@ -55,22 +55,22 @@
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
- 0.2664407043457031,
59
- 0.008979455947875976
60
  ],
61
  "count": 2,
62
- "total": 0.2754201602935791,
63
- "mean": 0.13771008014678954,
64
- "p50": 0.13771008014678954,
65
- "p90": 0.2406945795059204,
66
- "p95": 0.2535676419258117,
67
- "p99": 0.2638660918617248,
68
- "stdev": 0.12873062419891357,
69
- "stdev_": 93.4794490437414
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
- "value": 29.0465301867247
74
  },
75
  "energy": null,
76
  "efficiency": null
@@ -78,7 +78,7 @@
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
- "max_ram": 1390.112768,
82
  "max_global_vram": 699.92448,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 44.040192,
@@ -87,23 +87,23 @@
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
- 0.008157183647155761,
91
- 0.00810598373413086,
92
- 0.008658944129943847
93
  ],
94
  "count": 3,
95
- "total": 0.02492211151123047,
96
- "mean": 0.008307370503743491,
97
- "p50": 0.008157183647155761,
98
- "p90": 0.00855859203338623,
99
- "p95": 0.008608768081665039,
100
- "p99": 0.008648908920288086,
101
- "stdev": 0.000249477278528782,
102
- "stdev_": 3.0030835679757133
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
- "value": 722.2501990607332
107
  },
108
  "energy": null,
109
  "efficiency": null
 
2
  "overall": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 1389.9776,
6
  "max_global_vram": 699.92448,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 44.040192,
 
11
  "latency": {
12
  "unit": "s",
13
  "values": [
14
+ 0.26816717529296874,
15
+ 0.008993791580200196,
16
+ 0.008350720405578613,
17
+ 0.009132032394409179,
18
+ 0.0101396484375
19
  ],
20
  "count": 5,
21
+ "total": 0.3047833681106567,
22
+ "mean": 0.06095667362213134,
23
+ "p50": 0.009132032394409179,
24
+ "p90": 0.16495616455078127,
25
+ "p95": 0.21656166992187495,
26
+ "p99": 0.25784607421875,
27
+ "stdev": 0.10360683656362014,
28
+ "stdev_": 169.96799596689925
29
  },
30
  "throughput": {
31
  "unit": "samples/s",
32
+ "value": 164.0509464474671
33
  },
34
  "energy": {
35
  "unit": "kWh",
36
+ "cpu": 6.0997494701388815e-06,
37
+ "ram": 3.3236668658833415e-06,
38
+ "gpu": 7.969728598001408e-06,
39
+ "total": 1.739314493402363e-05
40
  },
41
  "efficiency": {
42
  "unit": "samples/kWh",
43
+ "value": 574939.152058607
44
  }
45
  },
46
  "warmup": {
47
  "memory": {
48
  "unit": "MB",
49
+ "max_ram": 1389.9776,
50
  "max_global_vram": 699.92448,
51
  "max_process_vram": 0.0,
52
  "max_reserved": 44.040192,
 
55
  "latency": {
56
  "unit": "s",
57
  "values": [
58
+ 0.26816717529296874,
59
+ 0.008993791580200196
60
  ],
61
  "count": 2,
62
+ "total": 0.27716096687316893,
63
+ "mean": 0.13858048343658447,
64
+ "p50": 0.13858048343658447,
65
+ "p90": 0.24224983692169189,
66
+ "p95": 0.2552085061073303,
67
+ "p99": 0.26557544145584105,
68
+ "stdev": 0.12958669185638427,
69
+ "stdev_": 93.51005902334305
70
  },
71
  "throughput": {
72
  "unit": "samples/s",
73
+ "value": 28.86409327494107
74
  },
75
  "energy": null,
76
  "efficiency": null
 
78
  "train": {
79
  "memory": {
80
  "unit": "MB",
81
+ "max_ram": 1389.9776,
82
  "max_global_vram": 699.92448,
83
  "max_process_vram": 0.0,
84
  "max_reserved": 44.040192,
 
87
  "latency": {
88
  "unit": "s",
89
  "values": [
90
+ 0.008350720405578613,
91
+ 0.009132032394409179,
92
+ 0.0101396484375
93
  ],
94
  "count": 3,
95
+ "total": 0.02762240123748779,
96
+ "mean": 0.009207467079162597,
97
+ "p50": 0.009132032394409179,
98
+ "p90": 0.009938125228881834,
99
+ "p95": 0.010038886833190918,
100
+ "p99": 0.010119496116638182,
101
+ "stdev": 0.0007322721122626555,
102
+ "stdev_": 7.9530244959535
103
  },
104
  "throughput": {
105
  "unit": "samples/s",
106
+ "value": 651.6450125114853
107
  },
108
  "energy": null,
109
  "efficiency": null