IlyasMoutawwakil HF staff commited on
Commit
7e05156
·
verified ·
1 Parent(s): 948d292

Upload cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub

Browse files
cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json CHANGED
@@ -7,6 +7,7 @@
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "text-classification",
9
  "library": "transformers",
 
10
  "model": "FacebookAI/roberta-base",
11
  "processor": "FacebookAI/roberta-base",
12
  "device": "cuda",
@@ -91,10 +92,10 @@
91
  "gpu_count": 1,
92
  "gpu_vram_mb": 68702699520,
93
  "optimum_benchmark_version": "0.3.1",
94
- "optimum_benchmark_commit": "79990507b694d513bac81e140baff3af23a6bff7",
95
- "transformers_version": "4.42.3",
96
  "transformers_commit": null,
97
- "accelerate_version": "0.31.0",
98
  "accelerate_commit": null,
99
  "diffusers_version": "0.29.2",
100
  "diffusers_commit": null,
@@ -110,33 +111,33 @@
110
  "overall": {
111
  "memory": {
112
  "unit": "MB",
113
- "max_ram": 1123.057664,
114
- "max_global_vram": 67681.325056,
115
- "max_process_vram": 302945.959936,
116
  "max_reserved": 2707.423232,
117
  "max_allocated": 2497.900032
118
  },
119
  "latency": {
120
  "unit": "s",
121
  "count": 5,
122
- "total": 0.7806842079162598,
123
- "mean": 0.15613684158325197,
124
- "stdev": 0.2217467620018978,
125
- "p50": 0.04510548782348633,
126
- "p90": 0.37821858825683596,
127
- "p95": 0.488924021911621,
128
- "p99": 0.5774883688354492,
129
  "values": [
130
- 0.5996294555664062,
131
- 0.04610228729248047,
132
- 0.04510548782348633,
133
- 0.04508036804199219,
134
- 0.044766609191894534
135
  ]
136
  },
137
  "throughput": {
138
  "unit": "samples/s",
139
- "value": 64.0463832789138
140
  },
141
  "energy": null,
142
  "efficiency": null
@@ -144,30 +145,30 @@
144
  "warmup": {
145
  "memory": {
146
  "unit": "MB",
147
- "max_ram": 1123.057664,
148
- "max_global_vram": 67681.325056,
149
- "max_process_vram": 302945.959936,
150
  "max_reserved": 2707.423232,
151
  "max_allocated": 2497.900032
152
  },
153
  "latency": {
154
  "unit": "s",
155
  "count": 2,
156
- "total": 0.6457317428588867,
157
- "mean": 0.32286587142944334,
158
- "stdev": 0.2767635841369629,
159
- "p50": 0.32286587142944334,
160
- "p90": 0.5442767387390137,
161
- "p95": 0.5719530971527099,
162
- "p99": 0.594094183883667,
163
  "values": [
164
- 0.5996294555664062,
165
- 0.04610228729248047
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "samples/s",
170
- "value": 12.389045588158826
171
  },
172
  "energy": null,
173
  "efficiency": null
@@ -175,31 +176,31 @@
175
  "train": {
176
  "memory": {
177
  "unit": "MB",
178
- "max_ram": 1123.057664,
179
- "max_global_vram": 67681.325056,
180
- "max_process_vram": 302945.959936,
181
  "max_reserved": 2707.423232,
182
  "max_allocated": 2497.900032
183
  },
184
  "latency": {
185
  "unit": "s",
186
  "count": 3,
187
- "total": 0.13495246505737304,
188
- "mean": 0.044984155019124346,
189
- "stdev": 0.00015416958425579544,
190
- "p50": 0.04508036804199219,
191
- "p90": 0.0451004638671875,
192
- "p95": 0.045102975845336915,
193
- "p99": 0.045104985427856445,
194
  "values": [
195
- 0.04510548782348633,
196
- 0.04508036804199219,
197
- 0.044766609191894534
198
  ]
199
  },
200
  "throughput": {
201
  "unit": "samples/s",
202
- "value": 133.38029796156422
203
  },
204
  "energy": null,
205
  "efficiency": null
 
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "text-classification",
9
  "library": "transformers",
10
+ "model_type": "roberta",
11
  "model": "FacebookAI/roberta-base",
12
  "processor": "FacebookAI/roberta-base",
13
  "device": "cuda",
 
92
  "gpu_count": 1,
93
  "gpu_vram_mb": 68702699520,
94
  "optimum_benchmark_version": "0.3.1",
95
+ "optimum_benchmark_commit": "73dd36ea04ff1cc8259f4039b6f9d56dfb9eecd1",
96
+ "transformers_version": "4.42.4",
97
  "transformers_commit": null,
98
+ "accelerate_version": "0.32.1",
99
  "accelerate_commit": null,
100
  "diffusers_version": "0.29.2",
101
  "diffusers_commit": null,
 
111
  "overall": {
112
  "memory": {
113
  "unit": "MB",
114
+ "max_ram": 1130.14784,
115
+ "max_global_vram": 3155.439616,
116
+ "max_process_vram": 244300.619776,
117
  "max_reserved": 2707.423232,
118
  "max_allocated": 2497.900032
119
  },
120
  "latency": {
121
  "unit": "s",
122
  "count": 5,
123
+ "total": 0.7295103034973145,
124
+ "mean": 0.1459020606994629,
125
+ "stdev": 0.20633280485789443,
126
+ "p50": 0.04252404403686524,
127
+ "p90": 0.3526822555541993,
128
+ "p95": 0.45562411727905267,
129
+ "p99": 0.5379776066589356,
130
  "values": [
131
+ 0.5585659790039063,
132
+ 0.043856670379638675,
133
+ 0.04240740585327148,
134
+ 0.04252404403686524,
135
+ 0.04215620422363281
136
  ]
137
  },
138
  "throughput": {
139
  "unit": "samples/s",
140
+ "value": 68.53912790579805
141
  },
142
  "energy": null,
143
  "efficiency": null
 
145
  "warmup": {
146
  "memory": {
147
  "unit": "MB",
148
+ "max_ram": 1130.14784,
149
+ "max_global_vram": 3155.439616,
150
+ "max_process_vram": 244300.619776,
151
  "max_reserved": 2707.423232,
152
  "max_allocated": 2497.900032
153
  },
154
  "latency": {
155
  "unit": "s",
156
  "count": 2,
157
+ "total": 0.602422649383545,
158
+ "mean": 0.3012113246917725,
159
+ "stdev": 0.2573546543121338,
160
+ "p50": 0.3012113246917725,
161
+ "p90": 0.5070950481414795,
162
+ "p95": 0.5328305135726928,
163
+ "p99": 0.5534188859176635,
164
  "values": [
165
+ 0.5585659790039063,
166
+ 0.043856670379638675
167
  ]
168
  },
169
  "throughput": {
170
  "unit": "samples/s",
171
+ "value": 13.279713185064251
172
  },
173
  "energy": null,
174
  "efficiency": null
 
176
  "train": {
177
  "memory": {
178
  "unit": "MB",
179
+ "max_ram": 1130.14784,
180
+ "max_global_vram": 3155.439616,
181
+ "max_process_vram": 244300.619776,
182
  "max_reserved": 2707.423232,
183
  "max_allocated": 2497.900032
184
  },
185
  "latency": {
186
  "unit": "s",
187
  "count": 3,
188
+ "total": 0.12708765411376954,
189
+ "mean": 0.04236255137125652,
190
+ "stdev": 0.00015348284479020337,
191
+ "p50": 0.04240740585327148,
192
+ "p90": 0.042500716400146486,
193
+ "p95": 0.04251238021850586,
194
+ "p99": 0.04252171127319336,
195
  "values": [
196
+ 0.04240740585327148,
197
+ 0.04252404403686524,
198
+ 0.04215620422363281
199
  ]
200
  },
201
  "throughput": {
202
  "unit": "samples/s",
203
+ "value": 141.6345287472716
204
  },
205
  "energy": null,
206
  "efficiency": null