Upload cpu_training_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json with huggingface_hub
Browse files
cpu_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": 2876.
|
6 |
"max_global_vram": null,
|
7 |
"max_process_vram": null,
|
8 |
"max_reserved": null,
|
@@ -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": 2876.
|
40 |
"max_global_vram": null,
|
41 |
"max_process_vram": null,
|
42 |
"max_reserved": null,
|
@@ -45,21 +45,21 @@
|
|
45 |
"latency": {
|
46 |
"unit": "s",
|
47 |
"count": 2,
|
48 |
-
"total": 1.
|
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": 2876.
|
71 |
"max_global_vram": null,
|
72 |
"max_process_vram": null,
|
73 |
"max_reserved": null,
|
@@ -76,22 +76,22 @@
|
|
76 |
"latency": {
|
77 |
"unit": "s",
|
78 |
"count": 3,
|
79 |
-
"total": 1.
|
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": 10.
|
95 |
},
|
96 |
"energy": null,
|
97 |
"efficiency": null
|
|
|
2 |
"overall": {
|
3 |
"memory": {
|
4 |
"unit": "MB",
|
5 |
+
"max_ram": 2876.612608,
|
6 |
"max_global_vram": null,
|
7 |
"max_process_vram": null,
|
8 |
"max_reserved": null,
|
|
|
11 |
"latency": {
|
12 |
"unit": "s",
|
13 |
"count": 5,
|
14 |
+
"total": 3.1421070400000417,
|
15 |
+
"mean": 0.6284214080000083,
|
16 |
+
"stdev": 0.05353525000531153,
|
17 |
+
"p50": 0.6065836770000033,
|
18 |
+
"p90": 0.6876240082000209,
|
19 |
+
"p95": 0.7105246136000233,
|
20 |
+
"p99": 0.7288450979200252,
|
21 |
"values": [
|
22 |
+
0.7334252190000257,
|
23 |
+
0.6189221920000136,
|
24 |
+
0.5881390909999595,
|
25 |
+
0.6065836770000033,
|
26 |
+
0.5950368610000396
|
27 |
]
|
28 |
},
|
29 |
"throughput": {
|
30 |
"unit": "samples/s",
|
31 |
+
"value": 15.912888823800012
|
32 |
},
|
33 |
"energy": null,
|
34 |
"efficiency": null
|
|
|
36 |
"warmup": {
|
37 |
"memory": {
|
38 |
"unit": "MB",
|
39 |
+
"max_ram": 2876.612608,
|
40 |
"max_global_vram": null,
|
41 |
"max_process_vram": null,
|
42 |
"max_reserved": null,
|
|
|
45 |
"latency": {
|
46 |
"unit": "s",
|
47 |
"count": 2,
|
48 |
+
"total": 1.3523474110000393,
|
49 |
+
"mean": 0.6761737055000197,
|
50 |
+
"stdev": 0.05725151350000601,
|
51 |
+
"p50": 0.6761737055000197,
|
52 |
+
"p90": 0.7219749163000244,
|
53 |
+
"p95": 0.727700067650025,
|
54 |
+
"p99": 0.7322801887300255,
|
55 |
"values": [
|
56 |
+
0.7334252190000257,
|
57 |
+
0.6189221920000136
|
58 |
]
|
59 |
},
|
60 |
"throughput": {
|
61 |
"unit": "samples/s",
|
62 |
+
"value": 5.915639675816829
|
63 |
},
|
64 |
"energy": null,
|
65 |
"efficiency": null
|
|
|
67 |
"train": {
|
68 |
"memory": {
|
69 |
"unit": "MB",
|
70 |
+
"max_ram": 2876.612608,
|
71 |
"max_global_vram": null,
|
72 |
"max_process_vram": null,
|
73 |
"max_reserved": null,
|
|
|
76 |
"latency": {
|
77 |
"unit": "s",
|
78 |
"count": 3,
|
79 |
+
"total": 1.7897596290000024,
|
80 |
+
"mean": 0.5965865430000008,
|
81 |
+
"stdev": 0.007609284850497015,
|
82 |
+
"p50": 0.5950368610000396,
|
83 |
+
"p90": 0.6042743138000105,
|
84 |
+
"p95": 0.6054289954000069,
|
85 |
+
"p99": 0.606352740680004,
|
86 |
"values": [
|
87 |
+
0.5881390909999595,
|
88 |
+
0.6065836770000033,
|
89 |
+
0.5950368610000396
|
90 |
]
|
91 |
},
|
92 |
"throughput": {
|
93 |
"unit": "samples/s",
|
94 |
+
"value": 10.057216459875784
|
95 |
},
|
96 |
"energy": null,
|
97 |
"efficiency": null
|