IlyasMoutawwakil HF staff commited on
Commit
1e1d12d
·
verified ·
1 Parent(s): 7dc799d

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": "2.2.2+rocm5.7",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "token-classification",
9
  "library": "transformers",
@@ -71,12 +71,12 @@
71
  "start_method": "spawn"
72
  },
73
  "environment": {
74
- "cpu": " AMD EPYC 7643 48-Core Processor",
75
- "cpu_count": 96,
76
- "cpu_ram_mb": 1082028.982272,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
- "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.12",
82
  "gpu": [
@@ -85,16 +85,16 @@
85
  "gpu_count": 1,
86
  "gpu_vram_mb": 68702699520,
87
  "optimum_benchmark_version": "0.4.0",
88
- "optimum_benchmark_commit": "65fa416fd503cfe9a2be7637ee30c70a4a1f96f1",
89
- "transformers_version": "4.43.3",
90
  "transformers_commit": null,
91
  "accelerate_version": "0.33.0",
92
  "accelerate_commit": null,
93
- "diffusers_version": "0.29.2",
94
  "diffusers_commit": null,
95
  "optimum_version": null,
96
  "optimum_commit": null,
97
- "timm_version": "1.0.8",
98
  "timm_commit": null,
99
  "peft_version": null,
100
  "peft_commit": null
@@ -104,24 +104,24 @@
104
  "load": {
105
  "memory": {
106
  "unit": "MB",
107
- "max_ram": 892.157952,
108
- "max_global_vram": 1059.88096,
109
- "max_process_vram": 43773.124608,
110
  "max_reserved": 773.849088,
111
  "max_allocated": 736.603648
112
  },
113
  "latency": {
114
  "unit": "s",
115
  "count": 1,
116
- "total": 6.9059306640625,
117
- "mean": 6.9059306640625,
118
  "stdev": 0.0,
119
- "p50": 6.9059306640625,
120
- "p90": 6.9059306640625,
121
- "p95": 6.9059306640625,
122
- "p99": 6.9059306640625,
123
  "values": [
124
- 6.9059306640625
125
  ]
126
  },
127
  "throughput": null,
@@ -131,106 +131,96 @@
131
  "forward": {
132
  "memory": {
133
  "unit": "MB",
134
- "max_ram": 1037.172736,
135
- "max_global_vram": 1122.811904,
136
- "max_process_vram": 275492.78208,
137
  "max_reserved": 773.849088,
138
  "max_allocated": 745.086976
139
  },
140
  "latency": {
141
  "unit": "s",
142
- "count": 78,
143
- "total": 0.998009068489075,
144
- "mean": 0.012794988057552241,
145
- "stdev": 0.0008244442216062038,
146
- "p50": 0.012593813419342043,
147
- "p90": 0.013112023830413818,
148
- "p95": 0.013287952756881714,
149
- "p99": 0.01681241527557374,
150
  "values": [
151
- 0.013361336708068848,
152
- 0.013283416748046875,
153
- 0.013181337356567383,
154
- 0.013144856452941894,
155
- 0.013118295669555665,
156
- 0.01292597484588623,
157
- 0.012872055053710937,
158
- 0.012761494636535645,
159
- 0.01264565372467041,
160
- 0.012742295265197753,
161
- 0.012821174621582032,
162
- 0.01282597541809082,
163
- 0.01884584045410156,
164
- 0.01620502853393555,
165
- 0.01246325397491455,
166
- 0.01233413314819336,
167
- 0.012280692100524902,
168
- 0.01243509292602539,
169
- 0.012429972648620606,
170
- 0.012522294044494628,
171
- 0.012543893814086915,
172
- 0.012764533996582032,
173
- 0.012638294219970703,
174
- 0.012638294219970703,
175
- 0.012631733894348145,
176
- 0.012736695289611816,
177
- 0.012589014053344727,
178
- 0.012604054450988769,
179
- 0.012620373725891114,
180
- 0.012682933807373047,
181
- 0.01266245460510254,
182
- 0.012621334075927734,
183
- 0.012562933921813966,
184
- 0.012546454429626465,
185
- 0.012520374298095703,
186
- 0.012545494079589844,
187
- 0.012534453392028808,
188
- 0.012583892822265625,
189
- 0.012468692779541015,
190
- 0.012572693824768066,
191
- 0.01250821304321289,
192
- 0.012595732688903809,
193
- 0.012516532897949219,
194
- 0.012547413825988769,
195
- 0.012503414154052735,
196
- 0.012565174102783204,
197
- 0.012526613235473633,
198
- 0.012930456161499024,
199
- 0.012591733932495117,
200
- 0.012600693702697754,
201
- 0.012560853958129883,
202
- 0.012643573760986328,
203
- 0.01253797435760498,
204
- 0.012547413825988769,
205
- 0.01255125331878662,
206
- 0.012525012969970703,
207
- 0.012563094139099121,
208
- 0.013047256469726563,
209
- 0.0133136568069458,
210
- 0.013109335899353028,
211
- 0.01294885540008545,
212
- 0.01269573402404785,
213
- 0.012713494300842286,
214
- 0.012735415458679199,
215
- 0.012694933891296386,
216
- 0.012733494758605957,
217
- 0.012589014053344727,
218
- 0.01257253360748291,
219
- 0.012527572631835937,
220
- 0.012674294471740722,
221
- 0.012613493919372559,
222
- 0.012540054321289063,
223
- 0.012591894149780274,
224
- 0.012583733558654785,
225
- 0.012554133415222168,
226
- 0.01256997299194336,
227
- 0.012545172691345214,
228
- 0.012571093559265136
229
  ]
230
  },
231
  "throughput": {
232
  "unit": "samples/s",
233
- "value": 78.15560245167639
234
  },
235
  "energy": null,
236
  "efficiency": null
 
3
  "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
4
  "backend": {
5
  "name": "pytorch",
6
+ "version": "2.4.0+rocm6.1",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "token-classification",
9
  "library": "transformers",
 
71
  "start_method": "spawn"
72
  },
73
  "environment": {
74
+ "cpu": " AMD EPYC 7763 64-Core Processor",
75
+ "cpu_count": 128,
76
+ "cpu_ram_mb": 1082015.256576,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
+ "platform": "Linux-5.15.0-101-generic-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.12",
82
  "gpu": [
 
85
  "gpu_count": 1,
86
  "gpu_vram_mb": 68702699520,
87
  "optimum_benchmark_version": "0.4.0",
88
+ "optimum_benchmark_commit": null,
89
+ "transformers_version": "4.44.2",
90
  "transformers_commit": null,
91
  "accelerate_version": "0.33.0",
92
  "accelerate_commit": null,
93
+ "diffusers_version": "0.30.1",
94
  "diffusers_commit": null,
95
  "optimum_version": null,
96
  "optimum_commit": null,
97
+ "timm_version": "1.0.9",
98
  "timm_commit": null,
99
  "peft_version": null,
100
  "peft_commit": null
 
104
  "load": {
105
  "memory": {
106
  "unit": "MB",
107
+ "max_ram": 1373.237248,
108
+ "max_global_vram": 0.0,
109
+ "max_process_vram": 0.0,
110
  "max_reserved": 773.849088,
111
  "max_allocated": 736.603648
112
  },
113
  "latency": {
114
  "unit": "s",
115
  "count": 1,
116
+ "total": 7.77709619140625,
117
+ "mean": 7.77709619140625,
118
  "stdev": 0.0,
119
+ "p50": 7.77709619140625,
120
+ "p90": 7.77709619140625,
121
+ "p95": 7.77709619140625,
122
+ "p99": 7.77709619140625,
123
  "values": [
124
+ 7.77709619140625
125
  ]
126
  },
127
  "throughput": null,
 
131
  "forward": {
132
  "memory": {
133
  "unit": "MB",
134
+ "max_ram": 1537.024,
135
+ "max_global_vram": 0.0,
136
+ "max_process_vram": 0.0,
137
  "max_reserved": 773.849088,
138
  "max_allocated": 745.086976
139
  },
140
  "latency": {
141
  "unit": "s",
142
+ "count": 68,
143
+ "total": 1.0049685125350956,
144
+ "mean": 0.014778948713751398,
145
+ "stdev": 0.0005478417779392501,
146
+ "p50": 0.014760586261749267,
147
+ "p90": 0.01565021514892578,
148
+ "p95": 0.015758654642105102,
149
+ "p99": 0.01586198338508606,
150
  "values": [
151
+ 0.014731786727905273,
152
+ 0.014611947059631347,
153
+ 0.014691786766052246,
154
+ 0.014672106742858886,
155
+ 0.014527467727661133,
156
+ 0.014540428161621094,
157
+ 0.014362188339233398,
158
+ 0.014129069328308106,
159
+ 0.014117547988891602,
160
+ 0.014144908905029297,
161
+ 0.014310507774353028,
162
+ 0.01443594741821289,
163
+ 0.014477546691894532,
164
+ 0.014768426895141601,
165
+ 0.014467146873474121,
166
+ 0.014293707847595215,
167
+ 0.014083788871765137,
168
+ 0.014381067276000976,
169
+ 0.014081548690795899,
170
+ 0.014202187538146973,
171
+ 0.014173708915710449,
172
+ 0.014279467582702637,
173
+ 0.014112268447875977,
174
+ 0.014265068054199219,
175
+ 0.014224748611450195,
176
+ 0.014347786903381348,
177
+ 0.014169069290161132,
178
+ 0.014145228385925293,
179
+ 0.014001229286193847,
180
+ 0.013989869117736817,
181
+ 0.013972909927368164,
182
+ 0.013998829841613769,
183
+ 0.014829707145690919,
184
+ 0.015359145164489746,
185
+ 0.015618343353271485,
186
+ 0.015403304100036621,
187
+ 0.015745862007141113,
188
+ 0.015765542984008788,
189
+ 0.01572458267211914,
190
+ 0.015172904968261718,
191
+ 0.015311305046081542,
192
+ 0.015102664947509765,
193
+ 0.015149544715881348,
194
+ 0.01504778480529785,
195
+ 0.015311783790588378,
196
+ 0.015727943420410156,
197
+ 0.015550023078918456,
198
+ 0.015471464157104492,
199
+ 0.014921066284179687,
200
+ 0.014839945793151855,
201
+ 0.015037546157836914,
202
+ 0.014865706443786621,
203
+ 0.015275303840637206,
204
+ 0.014579947471618653,
205
+ 0.01507610511779785,
206
+ 0.014934025764465331,
207
+ 0.014891466140747071,
208
+ 0.015103466033935547,
209
+ 0.014776906967163085,
210
+ 0.01489370632171631,
211
+ 0.014890826225280762,
212
+ 0.014606186866760254,
213
+ 0.014752745628356934,
214
+ 0.01505754566192627,
215
+ 0.014895945549011231,
216
+ 0.015966180801391602,
217
+ 0.01579002285003662,
218
+ 0.015810662269592286
 
 
 
 
 
 
 
 
 
 
219
  ]
220
  },
221
  "throughput": {
222
  "unit": "samples/s",
223
+ "value": 67.66381150436824
224
  },
225
  "energy": null,
226
  "efficiency": null