Upload cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json with huggingface_hub
Browse files
cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json
CHANGED
@@ -2,7 +2,7 @@
|
|
2 |
"overall": {
|
3 |
"memory": {
|
4 |
"unit": "MB",
|
5 |
-
"max_ram": 1735.
|
6 |
"max_global_vram": 3379.03616,
|
7 |
"max_process_vram": 0.0,
|
8 |
"max_reserved": 2730.491904,
|
@@ -11,24 +11,24 @@
|
|
11 |
"latency": {
|
12 |
"unit": "s",
|
13 |
"count": 5,
|
14 |
-
"total":
|
15 |
-
"mean": 0.
|
16 |
-
"stdev": 0.
|
17 |
-
"p50": 0.
|
18 |
-
"p90": 0.
|
19 |
-
"p95": 0.
|
20 |
-
"p99": 0.
|
21 |
"values": [
|
22 |
-
0.
|
23 |
-
0.
|
24 |
-
0.
|
25 |
-
0.
|
26 |
-
0.
|
27 |
]
|
28 |
},
|
29 |
"throughput": {
|
30 |
"unit": "samples/s",
|
31 |
-
"value":
|
32 |
},
|
33 |
"energy": null,
|
34 |
"efficiency": null
|
@@ -36,7 +36,7 @@
|
|
36 |
"warmup": {
|
37 |
"memory": {
|
38 |
"unit": "MB",
|
39 |
-
"max_ram": 1735.
|
40 |
"max_global_vram": 3379.03616,
|
41 |
"max_process_vram": 0.0,
|
42 |
"max_reserved": 2730.491904,
|
@@ -45,21 +45,21 @@
|
|
45 |
"latency": {
|
46 |
"unit": "s",
|
47 |
"count": 2,
|
48 |
-
"total": 0.
|
49 |
-
"mean": 0.
|
50 |
-
"stdev": 0.
|
51 |
-
"p50": 0.
|
52 |
-
"p90": 0.
|
53 |
-
"p95": 0.
|
54 |
-
"p99": 0.
|
55 |
"values": [
|
56 |
-
0.
|
57 |
-
0.
|
58 |
]
|
59 |
},
|
60 |
"throughput": {
|
61 |
"unit": "samples/s",
|
62 |
-
"value":
|
63 |
},
|
64 |
"energy": null,
|
65 |
"efficiency": null
|
@@ -67,7 +67,7 @@
|
|
67 |
"train": {
|
68 |
"memory": {
|
69 |
"unit": "MB",
|
70 |
-
"max_ram": 1735.
|
71 |
"max_global_vram": 3379.03616,
|
72 |
"max_process_vram": 0.0,
|
73 |
"max_reserved": 2730.491904,
|
@@ -76,22 +76,22 @@
|
|
76 |
"latency": {
|
77 |
"unit": "s",
|
78 |
"count": 3,
|
79 |
-
"total": 0.
|
80 |
-
"mean": 0.
|
81 |
-
"stdev": 0.
|
82 |
-
"p50": 0.
|
83 |
-
"p90": 0.
|
84 |
-
"p95": 0.
|
85 |
-
"p99": 0.
|
86 |
"values": [
|
87 |
-
0.
|
88 |
-
0.
|
89 |
-
0.
|
90 |
]
|
91 |
},
|
92 |
"throughput": {
|
93 |
"unit": "samples/s",
|
94 |
-
"value":
|
95 |
},
|
96 |
"energy": null,
|
97 |
"efficiency": null
|
|
|
2 |
"overall": {
|
3 |
"memory": {
|
4 |
"unit": "MB",
|
5 |
+
"max_ram": 1735.12704,
|
6 |
"max_global_vram": 3379.03616,
|
7 |
"max_process_vram": 0.0,
|
8 |
"max_reserved": 2730.491904,
|
|
|
11 |
"latency": {
|
12 |
"unit": "s",
|
13 |
"count": 5,
|
14 |
+
"total": 1.0032844429016112,
|
15 |
+
"mean": 0.20065688858032224,
|
16 |
+
"stdev": 0.29961653808602984,
|
17 |
+
"p50": 0.05104435348510742,
|
18 |
+
"p90": 0.5005369186401368,
|
19 |
+
"p95": 0.6502131614685058,
|
20 |
+
"p99": 0.7699541557312012,
|
21 |
"values": [
|
22 |
+
0.799889404296875,
|
23 |
+
0.05104435348510742,
|
24 |
+
0.05039923095703125,
|
25 |
+
0.0515081901550293,
|
26 |
+
0.05044326400756836
|
27 |
]
|
28 |
},
|
29 |
"throughput": {
|
30 |
"unit": "samples/s",
|
31 |
+
"value": 49.836315467420576
|
32 |
},
|
33 |
"energy": null,
|
34 |
"efficiency": null
|
|
|
36 |
"warmup": {
|
37 |
"memory": {
|
38 |
"unit": "MB",
|
39 |
+
"max_ram": 1735.12704,
|
40 |
"max_global_vram": 3379.03616,
|
41 |
"max_process_vram": 0.0,
|
42 |
"max_reserved": 2730.491904,
|
|
|
45 |
"latency": {
|
46 |
"unit": "s",
|
47 |
"count": 2,
|
48 |
+
"total": 0.8509337577819824,
|
49 |
+
"mean": 0.4254668788909912,
|
50 |
+
"stdev": 0.37442252540588383,
|
51 |
+
"p50": 0.4254668788909912,
|
52 |
+
"p90": 0.7250048992156983,
|
53 |
+
"p95": 0.7624471517562866,
|
54 |
+
"p99": 0.7924009537887574,
|
55 |
"values": [
|
56 |
+
0.799889404296875,
|
57 |
+
0.05104435348510742
|
58 |
]
|
59 |
},
|
60 |
"throughput": {
|
61 |
"unit": "samples/s",
|
62 |
+
"value": 9.401436864900685
|
63 |
},
|
64 |
"energy": null,
|
65 |
"efficiency": null
|
|
|
67 |
"train": {
|
68 |
"memory": {
|
69 |
"unit": "MB",
|
70 |
+
"max_ram": 1735.12704,
|
71 |
"max_global_vram": 3379.03616,
|
72 |
"max_process_vram": 0.0,
|
73 |
"max_reserved": 2730.491904,
|
|
|
76 |
"latency": {
|
77 |
"unit": "s",
|
78 |
"count": 3,
|
79 |
+
"total": 0.1523506851196289,
|
80 |
+
"mean": 0.05078356170654297,
|
81 |
+
"stdev": 0.0005127049305085591,
|
82 |
+
"p50": 0.05044326400756836,
|
83 |
+
"p90": 0.05129520492553711,
|
84 |
+
"p95": 0.0514016975402832,
|
85 |
+
"p99": 0.051486891632080076,
|
86 |
"values": [
|
87 |
+
0.05039923095703125,
|
88 |
+
0.0515081901550293,
|
89 |
+
0.05044326400756836
|
90 |
]
|
91 |
},
|
92 |
"throughput": {
|
93 |
"unit": "samples/s",
|
94 |
+
"value": 118.14846770046375
|
95 |
},
|
96 |
"energy": null,
|
97 |
"efficiency": null
|