Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
Browse files
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json
CHANGED
@@ -3,7 +3,7 @@
|
|
3 |
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
-
"version": "2.
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "token-classification",
|
9 |
"library": "transformers",
|
@@ -104,7 +104,7 @@
|
|
104 |
"load": {
|
105 |
"memory": {
|
106 |
"unit": "MB",
|
107 |
-
"max_ram":
|
108 |
"max_global_vram": 1403.518976,
|
109 |
"max_process_vram": 0.0,
|
110 |
"max_reserved": 773.849088,
|
@@ -113,31 +113,31 @@
|
|
113 |
"latency": {
|
114 |
"unit": "s",
|
115 |
"count": 1,
|
116 |
-
"total": 7.
|
117 |
-
"mean": 7.
|
118 |
"stdev": 0.0,
|
119 |
-
"p50": 7.
|
120 |
-
"p90": 7.
|
121 |
-
"p95": 7.
|
122 |
-
"p99": 7.
|
123 |
"values": [
|
124 |
-
7.
|
125 |
]
|
126 |
},
|
127 |
"throughput": null,
|
128 |
"energy": {
|
129 |
"unit": "kWh",
|
130 |
-
"cpu": 1.
|
131 |
-
"ram": 5.
|
132 |
-
"gpu": 1.
|
133 |
-
"total": 3.
|
134 |
},
|
135 |
"efficiency": null
|
136 |
},
|
137 |
"forward": {
|
138 |
"memory": {
|
139 |
"unit": "MB",
|
140 |
-
"max_ram":
|
141 |
"max_global_vram": 1434.976256,
|
142 |
"max_process_vram": 0.0,
|
143 |
"max_reserved": 794.820608,
|
@@ -145,104 +145,105 @@
|
|
145 |
},
|
146 |
"latency": {
|
147 |
"unit": "s",
|
148 |
-
"count":
|
149 |
-
"total": 1.
|
150 |
-
"mean": 0.
|
151 |
-
"stdev": 0.
|
152 |
-
"p50": 0.
|
153 |
-
"p90": 0.
|
154 |
-
"p95": 0.
|
155 |
-
"p99": 0.
|
156 |
"values": [
|
157 |
-
0.
|
158 |
-
0.
|
159 |
-
0.
|
160 |
-
0.
|
161 |
-
0.
|
162 |
-
0.
|
163 |
-
0.
|
164 |
-
0.
|
165 |
-
0.
|
166 |
-
0.
|
167 |
-
0.
|
168 |
-
0.
|
169 |
-
0.
|
170 |
-
0.
|
171 |
-
0.
|
172 |
-
0.
|
173 |
-
0.
|
174 |
-
0.
|
175 |
-
0.
|
176 |
-
0.
|
177 |
-
0.
|
178 |
-
0.
|
179 |
-
0.
|
180 |
-
0.
|
181 |
-
0.
|
182 |
-
0.
|
183 |
-
0.
|
184 |
-
0.
|
185 |
-
0.
|
186 |
-
0.
|
187 |
-
0.
|
188 |
-
0.
|
189 |
-
0.
|
190 |
-
0.
|
191 |
-
0.
|
192 |
-
0.
|
193 |
-
0.
|
194 |
-
0.
|
195 |
-
0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
196 |
0.013297663688659669,
|
197 |
-
0.
|
198 |
-
0.
|
199 |
-
0.
|
200 |
-
0.
|
201 |
-
0.
|
202 |
-
0.
|
203 |
-
0.
|
204 |
-
0.
|
205 |
-
0.
|
206 |
-
0.013478912353515626,
|
207 |
-
0.01344921588897705,
|
208 |
0.013435903549194337,
|
209 |
-
0.
|
210 |
-
0.
|
211 |
-
0.
|
212 |
-
0.
|
213 |
-
0.
|
214 |
-
0.
|
215 |
-
0.013472767829895019,
|
216 |
-
0.013096927642822265,
|
217 |
-
0.013026304244995117,
|
218 |
-
0.014791680335998534,
|
219 |
-
0.013707263946533203,
|
220 |
-
0.013475839614868163,
|
221 |
-
0.013502464294433594,
|
222 |
-
0.013462528228759766,
|
223 |
-
0.013437952041625977,
|
224 |
-
0.01346457576751709,
|
225 |
-
0.013414400100708008,
|
226 |
-
0.013406208038330078,
|
227 |
-
0.013422592163085938,
|
228 |
-
0.013405183792114257,
|
229 |
-
0.013426752090454101
|
230 |
]
|
231 |
},
|
232 |
"throughput": {
|
233 |
"unit": "samples/s",
|
234 |
-
"value":
|
235 |
},
|
236 |
"energy": {
|
237 |
"unit": "kWh",
|
238 |
-
"cpu": 1.
|
239 |
-
"ram": 8.
|
240 |
-
"gpu": 3.
|
241 |
-
"total":
|
242 |
},
|
243 |
"efficiency": {
|
244 |
"unit": "samples/kWh",
|
245 |
-
"value":
|
246 |
}
|
247 |
}
|
248 |
}
|
|
|
3 |
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
|
4 |
"backend": {
|
5 |
"name": "pytorch",
|
6 |
+
"version": "2.4.0+cu121",
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "token-classification",
|
9 |
"library": "transformers",
|
|
|
104 |
"load": {
|
105 |
"memory": {
|
106 |
"unit": "MB",
|
107 |
+
"max_ram": 751.243264,
|
108 |
"max_global_vram": 1403.518976,
|
109 |
"max_process_vram": 0.0,
|
110 |
"max_reserved": 773.849088,
|
|
|
113 |
"latency": {
|
114 |
"unit": "s",
|
115 |
"count": 1,
|
116 |
+
"total": 7.41433349609375,
|
117 |
+
"mean": 7.41433349609375,
|
118 |
"stdev": 0.0,
|
119 |
+
"p50": 7.41433349609375,
|
120 |
+
"p90": 7.41433349609375,
|
121 |
+
"p95": 7.41433349609375,
|
122 |
+
"p99": 7.41433349609375,
|
123 |
"values": [
|
124 |
+
7.41433349609375
|
125 |
]
|
126 |
},
|
127 |
"throughput": null,
|
128 |
"energy": {
|
129 |
"unit": "kWh",
|
130 |
+
"cpu": 1.0938134687498924e-06,
|
131 |
+
"ram": 5.83404255419614e-07,
|
132 |
+
"gpu": 1.5608345819992722e-06,
|
133 |
+
"total": 3.2380523061687785e-06
|
134 |
},
|
135 |
"efficiency": null
|
136 |
},
|
137 |
"forward": {
|
138 |
"memory": {
|
139 |
"unit": "MB",
|
140 |
+
"max_ram": 1034.264576,
|
141 |
"max_global_vram": 1434.976256,
|
142 |
"max_process_vram": 0.0,
|
143 |
"max_reserved": 794.820608,
|
|
|
145 |
},
|
146 |
"latency": {
|
147 |
"unit": "s",
|
148 |
+
"count": 74,
|
149 |
+
"total": 1.0110568618774418,
|
150 |
+
"mean": 0.01366293056591137,
|
151 |
+
"stdev": 0.0005122576824816858,
|
152 |
+
"p50": 0.013656064033508301,
|
153 |
+
"p90": 0.013968998718261719,
|
154 |
+
"p95": 0.01502315511703491,
|
155 |
+
"p99": 0.01545294804573059,
|
156 |
"values": [
|
157 |
+
0.015316991806030274,
|
158 |
+
0.015565823554992676,
|
159 |
+
0.015251456260681152,
|
160 |
+
0.015411199569702149,
|
161 |
+
0.013619199752807617,
|
162 |
+
0.013288448333740235,
|
163 |
+
0.013381631851196289,
|
164 |
+
0.013286399841308593,
|
165 |
+
0.013288448333740235,
|
166 |
+
0.013241344451904297,
|
167 |
+
0.013325311660766602,
|
168 |
+
0.01348198413848877,
|
169 |
+
0.01333350372314453,
|
170 |
+
0.013233152389526368,
|
171 |
+
0.013279232025146484,
|
172 |
+
0.01335091209411621,
|
173 |
+
0.013629440307617188,
|
174 |
+
0.013748224258422852,
|
175 |
+
0.01376153564453125,
|
176 |
+
0.013791232109069825,
|
177 |
+
0.013717503547668456,
|
178 |
+
0.013800448417663574,
|
179 |
+
0.013790271759033202,
|
180 |
+
0.013733887672424316,
|
181 |
+
0.013777855873107911,
|
182 |
+
0.013314047813415527,
|
183 |
+
0.013242367744445802,
|
184 |
+
0.013703167915344238,
|
185 |
+
0.013700096130371094,
|
186 |
+
0.0140830717086792,
|
187 |
+
0.014900223731994629,
|
188 |
+
0.014194687843322755,
|
189 |
+
0.01387724781036377,
|
190 |
+
0.013851648330688476,
|
191 |
+
0.01381379222869873,
|
192 |
+
0.013798463821411132,
|
193 |
+
0.01375641632080078,
|
194 |
+
0.01377996826171875,
|
195 |
+
0.01358950424194336,
|
196 |
+
0.01324339199066162,
|
197 |
+
0.013362175941467285,
|
198 |
+
0.013792287826538087,
|
199 |
+
0.013755392074584961,
|
200 |
+
0.013798399925231934,
|
201 |
+
0.013396032333374023,
|
202 |
+
0.013246463775634766,
|
203 |
+
0.013207551956176757,
|
204 |
+
0.013232128143310547,
|
205 |
+
0.013261823654174805,
|
206 |
+
0.013731840133666993,
|
207 |
+
0.013891584396362304,
|
208 |
+
0.013851648330688476,
|
209 |
+
0.01376153564453125,
|
210 |
+
0.013495295524597169,
|
211 |
+
0.013726719856262207,
|
212 |
+
0.014002176284790039,
|
213 |
+
0.013682687759399414,
|
214 |
0.013297663688659669,
|
215 |
+
0.013720576286315917,
|
216 |
+
0.013743103981018067,
|
217 |
+
0.013830143928527832,
|
218 |
+
0.01355673599243164,
|
219 |
+
0.01311952018737793,
|
220 |
+
0.013150208473205567,
|
221 |
+
0.013175807952880859,
|
222 |
+
0.013438976287841797,
|
223 |
+
0.013764543533325195,
|
|
|
|
|
224 |
0.013435903549194337,
|
225 |
+
0.013212736129760743,
|
226 |
+
0.01323519992828369,
|
227 |
+
0.013253631591796875,
|
228 |
+
0.013239295959472656,
|
229 |
+
0.013175807952880859,
|
230 |
+
0.01325772762298584
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
231 |
]
|
232 |
},
|
233 |
"throughput": {
|
234 |
"unit": "samples/s",
|
235 |
+
"value": 73.19074009605026
|
236 |
},
|
237 |
"energy": {
|
238 |
"unit": "kWh",
|
239 |
+
"cpu": 1.5836537787037672e-07,
|
240 |
+
"ram": 8.643299113425385e-08,
|
241 |
+
"gpu": 3.31666931999997e-07,
|
242 |
+
"total": 5.764653010046275e-07
|
243 |
},
|
244 |
"efficiency": {
|
245 |
"unit": "samples/kWh",
|
246 |
+
"value": 1734709.7878350404
|
247 |
}
|
248 |
}
|
249 |
}
|