Commit
•
ea28247
1
Parent(s):
278f02d
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
Browse files
cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json
CHANGED
@@ -7,6 +7,7 @@
|
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "multiple-choice",
|
9 |
"library": "transformers",
|
|
|
10 |
"model": "FacebookAI/roberta-base",
|
11 |
"processor": "FacebookAI/roberta-base",
|
12 |
"device": "cpu",
|
@@ -73,14 +74,14 @@
|
|
73 |
"environment": {
|
74 |
"cpu": " AMD EPYC 7763 64-Core Processor",
|
75 |
"cpu_count": 4,
|
76 |
-
"cpu_ram_mb": 16757.
|
77 |
"system": "Linux",
|
78 |
"machine": "x86_64",
|
79 |
"platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
|
80 |
"processor": "x86_64",
|
81 |
"python_version": "3.10.14",
|
82 |
"optimum_benchmark_version": "0.3.1",
|
83 |
-
"optimum_benchmark_commit": "
|
84 |
"transformers_version": "4.42.4",
|
85 |
"transformers_commit": null,
|
86 |
"accelerate_version": "0.32.1",
|
@@ -99,7 +100,7 @@
|
|
99 |
"forward": {
|
100 |
"memory": {
|
101 |
"unit": "MB",
|
102 |
-
"max_ram":
|
103 |
"max_global_vram": null,
|
104 |
"max_process_vram": null,
|
105 |
"max_reserved": null,
|
@@ -107,56 +108,55 @@
|
|
107 |
},
|
108 |
"latency": {
|
109 |
"unit": "s",
|
110 |
-
"count":
|
111 |
-
"total": 1.
|
112 |
-
"mean": 0.
|
113 |
-
"stdev": 0.
|
114 |
-
"p50": 0.
|
115 |
-
"p90": 0.
|
116 |
-
"p95": 0.
|
117 |
-
"p99": 0.
|
118 |
"values": [
|
119 |
-
0.
|
120 |
-
0.
|
121 |
-
0.
|
122 |
-
0.
|
123 |
-
0.
|
124 |
-
0.
|
125 |
-
0.
|
126 |
-
0.
|
127 |
-
0.
|
128 |
-
0.
|
129 |
-
0.
|
130 |
-
0.
|
131 |
-
0.
|
132 |
-
0.
|
133 |
-
0.
|
134 |
-
0.
|
135 |
-
0.
|
136 |
-
0.
|
137 |
-
0.
|
138 |
-
0.
|
139 |
-
0.
|
140 |
-
0.
|
141 |
-
0.
|
142 |
-
0.
|
143 |
-
0.03874788600001011
|
144 |
]
|
145 |
},
|
146 |
"throughput": {
|
147 |
"unit": "samples/s",
|
148 |
-
"value":
|
149 |
},
|
150 |
"energy": {
|
151 |
"unit": "kWh",
|
152 |
-
"cpu": 1.
|
153 |
-
"ram": 6.
|
154 |
"gpu": 0.0,
|
155 |
-
"total": 1.
|
156 |
},
|
157 |
"efficiency": {
|
158 |
"unit": "samples/kWh",
|
159 |
-
"value":
|
160 |
}
|
161 |
}
|
162 |
}
|
|
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "multiple-choice",
|
9 |
"library": "transformers",
|
10 |
+
"model_type": "roberta",
|
11 |
"model": "FacebookAI/roberta-base",
|
12 |
"processor": "FacebookAI/roberta-base",
|
13 |
"device": "cpu",
|
|
|
74 |
"environment": {
|
75 |
"cpu": " AMD EPYC 7763 64-Core Processor",
|
76 |
"cpu_count": 4,
|
77 |
+
"cpu_ram_mb": 16757.342208,
|
78 |
"system": "Linux",
|
79 |
"machine": "x86_64",
|
80 |
"platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
|
81 |
"processor": "x86_64",
|
82 |
"python_version": "3.10.14",
|
83 |
"optimum_benchmark_version": "0.3.1",
|
84 |
+
"optimum_benchmark_commit": "402644384abc46743e46dac65be6512bc68c9d92",
|
85 |
"transformers_version": "4.42.4",
|
86 |
"transformers_commit": null,
|
87 |
"accelerate_version": "0.32.1",
|
|
|
100 |
"forward": {
|
101 |
"memory": {
|
102 |
"unit": "MB",
|
103 |
+
"max_ram": 942.24384,
|
104 |
"max_global_vram": null,
|
105 |
"max_process_vram": null,
|
106 |
"max_reserved": null,
|
|
|
108 |
},
|
109 |
"latency": {
|
110 |
"unit": "s",
|
111 |
+
"count": 24,
|
112 |
+
"total": 1.0189366050000785,
|
113 |
+
"mean": 0.042455691875003275,
|
114 |
+
"stdev": 0.0035839844448729606,
|
115 |
+
"p50": 0.043137909000023456,
|
116 |
+
"p90": 0.04663252819999002,
|
117 |
+
"p95": 0.04714009640003951,
|
118 |
+
"p99": 0.047295363899999075,
|
119 |
"values": [
|
120 |
+
0.04731630999998515,
|
121 |
+
0.04665761600000451,
|
122 |
+
0.04639604699997335,
|
123 |
+
0.04640906100001985,
|
124 |
+
0.04657398999995621,
|
125 |
+
0.04515594500003317,
|
126 |
+
0.04722524000004569,
|
127 |
+
0.04651740399998516,
|
128 |
+
0.04602047200000925,
|
129 |
+
0.04346564299999045,
|
130 |
+
0.043248105000031956,
|
131 |
+
0.043027713000014955,
|
132 |
+
0.04367045600002939,
|
133 |
+
0.04210949499997696,
|
134 |
+
0.038652904000002763,
|
135 |
+
0.038482815999998365,
|
136 |
+
0.038240813000015805,
|
137 |
+
0.03894371799998453,
|
138 |
+
0.03823495199998206,
|
139 |
+
0.03825739399997019,
|
140 |
+
0.03864707400003908,
|
141 |
+
0.03861378099998092,
|
142 |
+
0.0389012890000231,
|
143 |
+
0.03816836700002568
|
|
|
144 |
]
|
145 |
},
|
146 |
"throughput": {
|
147 |
"unit": "samples/s",
|
148 |
+
"value": 23.553967815297153
|
149 |
},
|
150 |
"energy": {
|
151 |
"unit": "kWh",
|
152 |
+
"cpu": 1.5004251757238667e-06,
|
153 |
+
"ram": 6.270243458835431e-08,
|
154 |
"gpu": 0.0,
|
155 |
+
"total": 1.563127610312221e-06
|
156 |
},
|
157 |
"efficiency": {
|
158 |
"unit": "samples/kWh",
|
159 |
+
"value": 639743.0340317889
|
160 |
}
|
161 |
}
|
162 |
}
|