IlyasMoutawwakil HF staff commited on
Commit
7a459e8
·
verified ·
1 Parent(s): 40710f3

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
@@ -84,8 +84,8 @@
84
  ],
85
  "gpu_count": 1,
86
  "gpu_vram_mb": 68702699520,
87
- "optimum_benchmark_version": "0.3.1",
88
- "optimum_benchmark_commit": "91971089040d6dac4da0f6b0a30eec8415a34544",
89
  "transformers_version": "4.43.3",
90
  "transformers_commit": null,
91
  "accelerate_version": "0.33.0",
@@ -104,24 +104,24 @@
104
  "load": {
105
  "memory": {
106
  "unit": "MB",
107
- "max_ram": 892.391424,
108
  "max_global_vram": 1059.876864,
109
- "max_process_vram": 41946.288128,
110
  "max_reserved": 773.849088,
111
  "max_allocated": 736.603648
112
  },
113
  "latency": {
114
  "unit": "s",
115
  "count": 1,
116
- "total": 6.81422265625,
117
- "mean": 6.81422265625,
118
  "stdev": 0.0,
119
- "p50": 6.81422265625,
120
- "p90": 6.81422265625,
121
- "p95": 6.81422265625,
122
- "p99": 6.81422265625,
123
  "values": [
124
- 6.81422265625
125
  ]
126
  },
127
  "throughput": null,
@@ -131,107 +131,108 @@
131
  "forward": {
132
  "memory": {
133
  "unit": "MB",
134
- "max_ram": 1037.23008,
135
  "max_global_vram": 1122.803712,
136
- "max_process_vram": 279189.143552,
137
  "max_reserved": 773.849088,
138
  "max_allocated": 745.086976
139
  },
140
  "latency": {
141
  "unit": "s",
142
- "count": 79,
143
- "total": 1.001032190322876,
144
- "mean": 0.012671293548390833,
145
- "stdev": 0.001442546217616095,
146
- "p50": 0.012405336380004883,
147
- "p90": 0.012734937286376953,
148
- "p95": 0.013085659027099609,
149
- "p99": 0.01953038566589355,
150
  "values": [
151
- 0.012581336975097656,
152
- 0.012651576995849609,
153
- 0.012513176918029785,
154
- 0.01250645637512207,
155
- 0.012485655784606933,
156
- 0.012290776252746582,
157
- 0.012160855293273926,
158
- 0.012007893562316895,
159
- 0.011932534217834473,
160
- 0.011998933792114258,
161
- 0.012029013633728027,
162
- 0.012075094223022461,
163
- 0.01204821491241455,
164
- 0.011983254432678222,
165
- 0.012156854629516602,
166
- 0.01228453540802002,
167
- 0.015405029296875,
168
- 0.012503577232360839,
169
- 0.012295254707336426,
170
- 0.018439603805541993,
171
- 0.01212645435333252,
172
- 0.012373656272888183,
173
- 0.01231557559967041,
174
- 0.012429335594177245,
175
- 0.012334775924682618,
176
- 0.012306136131286621,
177
- 0.012288695335388183,
178
- 0.012349656105041504,
179
- 0.01230069637298584,
180
- 0.01236293601989746,
181
- 0.012609657287597656,
182
- 0.012644216537475586,
183
- 0.012360535621643066,
184
- 0.01245893669128418,
185
- 0.012375255584716797,
186
- 0.012465175628662109,
187
- 0.012467896461486817,
188
- 0.012455576896667481,
189
- 0.012352375984191895,
190
- 0.012366455078125,
191
- 0.012365175247192382,
192
- 0.012388054847717284,
193
- 0.012366774559020997,
194
- 0.012412055015563965,
195
- 0.01239029598236084,
196
- 0.012427255630493165,
197
- 0.012393976211547851,
198
- 0.01239301586151123,
199
- 0.012370455741882324,
200
- 0.012378456115722657,
201
- 0.012393176078796387,
202
- 0.01246021556854248,
203
- 0.012409976005554199,
204
- 0.012437336921691895,
205
- 0.023397703170776368,
206
- 0.012393495559692384,
207
- 0.013063098907470703,
208
- 0.013288700103759765,
209
- 0.01297653865814209,
210
- 0.012733977317810058,
211
- 0.012656376838684083,
212
- 0.012688377380371093,
213
- 0.01273877716064453,
214
- 0.012757017135620117,
215
- 0.012573657035827636,
216
- 0.012474616050720215,
217
- 0.012397814750671386,
218
- 0.012405336380004883,
219
- 0.012420536041259766,
220
- 0.012465175628662109,
221
- 0.012420056343078613,
222
- 0.012438937187194824,
223
- 0.012475255966186524,
224
- 0.012377015113830566,
225
- 0.012459735870361328,
226
- 0.012404376029968262,
227
- 0.012398775100708009,
228
- 0.012437335968017578,
229
- 0.012509656906127929
 
230
  ]
231
  },
232
  "throughput": {
233
  "unit": "samples/s",
234
- "value": 78.91854104563721
235
  },
236
  "energy": null,
237
  "efficiency": null
 
84
  ],
85
  "gpu_count": 1,
86
  "gpu_vram_mb": 68702699520,
87
+ "optimum_benchmark_version": "0.4.0",
88
+ "optimum_benchmark_commit": "3e7bebdc507bc4e37dce5660074b7586de6b39b2",
89
  "transformers_version": "4.43.3",
90
  "transformers_commit": null,
91
  "accelerate_version": "0.33.0",
 
104
  "load": {
105
  "memory": {
106
  "unit": "MB",
107
+ "max_ram": 892.260352,
108
  "max_global_vram": 1059.876864,
109
+ "max_process_vram": 43602.382848,
110
  "max_reserved": 773.849088,
111
  "max_allocated": 736.603648
112
  },
113
  "latency": {
114
  "unit": "s",
115
  "count": 1,
116
+ "total": 6.6299853515625,
117
+ "mean": 6.6299853515625,
118
  "stdev": 0.0,
119
+ "p50": 6.6299853515625,
120
+ "p90": 6.6299853515625,
121
+ "p95": 6.6299853515625,
122
+ "p99": 6.6299853515625,
123
  "values": [
124
+ 6.6299853515625
125
  ]
126
  },
127
  "throughput": null,
 
131
  "forward": {
132
  "memory": {
133
  "unit": "MB",
134
+ "max_ram": 1036.955648,
135
  "max_global_vram": 1122.803712,
136
+ "max_process_vram": 277343.98976,
137
  "max_reserved": 773.849088,
138
  "max_allocated": 745.086976
139
  },
140
  "latency": {
141
  "unit": "s",
142
+ "count": 80,
143
+ "total": 1.0039312725067135,
144
+ "mean": 0.012549140906333925,
145
+ "stdev": 0.0008931504432433082,
146
+ "p50": 0.012317723751068117,
147
+ "p90": 0.01280103750228882,
148
+ "p95": 0.013068733930587767,
149
+ "p99": 0.01692640060424803,
150
  "values": [
151
+ 0.01299444580078125,
152
+ 0.013118287086486817,
153
+ 0.013066125869750976,
154
+ 0.013045966148376465,
155
+ 0.01906294822692871,
156
+ 0.012566285133361816,
157
+ 0.012705804824829102,
158
+ 0.012451884269714355,
159
+ 0.012454765319824219,
160
+ 0.012450284957885742,
161
+ 0.012571724891662597,
162
+ 0.012541324615478515,
163
+ 0.012576845169067383,
164
+ 0.012582284927368164,
165
+ 0.013906609535217286,
166
+ 0.012444364547729491,
167
+ 0.012240683555603028,
168
+ 0.012223724365234376,
169
+ 0.012226123809814454,
170
+ 0.012234602928161621,
171
+ 0.012306763648986816,
172
+ 0.012297643661499023,
173
+ 0.012289804458618164,
174
+ 0.012282604217529297,
175
+ 0.012422445297241212,
176
+ 0.012251724243164062,
177
+ 0.012250123977661133,
178
+ 0.01226004409790039,
179
+ 0.01226868438720703,
180
+ 0.012326443672180176,
181
+ 0.012240843772888184,
182
+ 0.012325163841247558,
183
+ 0.012208844184875488,
184
+ 0.01228132438659668,
185
+ 0.012304524421691894,
186
+ 0.012264204025268555,
187
+ 0.012329483985900879,
188
+ 0.012249163627624512,
189
+ 0.012320043563842774,
190
+ 0.012291563987731933,
191
+ 0.016358457565307617,
192
+ 0.01248420524597168,
193
+ 0.012265323638916015,
194
+ 0.012286284446716308,
195
+ 0.012334124565124512,
196
+ 0.01228836441040039,
197
+ 0.012294283866882324,
198
+ 0.012310124397277833,
199
+ 0.01229332447052002,
200
+ 0.012378925323486329,
201
+ 0.01233924388885498,
202
+ 0.012274924278259278,
203
+ 0.01227204418182373,
204
+ 0.012356365203857422,
205
+ 0.012243083000183105,
206
+ 0.012524683952331543,
207
+ 0.012796845436096192,
208
+ 0.012838766098022461,
209
+ 0.01269444465637207,
210
+ 0.01257540512084961,
211
+ 0.012486604690551758,
212
+ 0.01258900547027588,
213
+ 0.01227316379547119,
214
+ 0.012354763984680175,
215
+ 0.012236364364624023,
216
+ 0.012385804176330567,
217
+ 0.012315403938293458,
218
+ 0.012361804008483886,
219
+ 0.012303564071655273,
220
+ 0.012293643951416015,
221
+ 0.012287083625793458,
222
+ 0.012286284446716308,
223
+ 0.01233828353881836,
224
+ 0.012340204238891601,
225
+ 0.01232308292388916,
226
+ 0.012257164001464843,
227
+ 0.012228524208068848,
228
+ 0.012266763687133789,
229
+ 0.012255404472351074,
230
+ 0.012302603721618652
231
  ]
232
  },
233
  "throughput": {
234
  "unit": "samples/s",
235
+ "value": 79.68672975018316
236
  },
237
  "energy": null,
238
  "efficiency": null