IlyasMoutawwakil HF staff commited on
Commit
180af6c
·
verified ·
1 Parent(s): 882aa26

Upload cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub

Browse files
cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json CHANGED
@@ -3,7 +3,7 @@
3
  "name": "cuda_training_transformers_multiple-choice_FacebookAI/roberta-base",
4
  "backend": {
5
  "name": "pytorch",
6
- "version": "2.4.0+cu121",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "multiple-choice",
9
  "library": "transformers",
@@ -110,7 +110,7 @@
110
  "overall": {
111
  "memory": {
112
  "unit": "MB",
113
- "max_ram": 1167.941632,
114
  "max_global_vram": 3379.03616,
115
  "max_process_vram": 0.0,
116
  "max_reserved": 2730.491904,
@@ -119,24 +119,24 @@
119
  "latency": {
120
  "unit": "s",
121
  "count": 5,
122
- "total": 0.9313197898864747,
123
- "mean": 0.18626395797729495,
124
- "stdev": 0.2729737031170027,
125
- "p50": 0.04977766418457031,
126
- "p90": 0.4593995666503907,
127
- "p95": 0.5958053741455077,
128
- "p99": 0.7049300201416016,
129
  "values": [
130
- 0.732211181640625,
131
- 0.050182144165039064,
132
- 0.04977766418457031,
133
- 0.04961280059814453,
134
- 0.049535999298095705
135
  ]
136
  },
137
  "throughput": {
138
  "unit": "samples/s",
139
- "value": 53.687251729177646
140
  },
141
  "energy": null,
142
  "efficiency": null
@@ -144,7 +144,7 @@
144
  "warmup": {
145
  "memory": {
146
  "unit": "MB",
147
- "max_ram": 1167.941632,
148
  "max_global_vram": 3379.03616,
149
  "max_process_vram": 0.0,
150
  "max_reserved": 2730.491904,
@@ -153,21 +153,21 @@
153
  "latency": {
154
  "unit": "s",
155
  "count": 2,
156
- "total": 0.7823933258056641,
157
- "mean": 0.39119666290283206,
158
- "stdev": 0.341014518737793,
159
- "p50": 0.39119666290283206,
160
- "p90": 0.6640082778930665,
161
- "p95": 0.6981097297668457,
162
- "p99": 0.7253908912658692,
163
  "values": [
164
- 0.732211181640625,
165
- 0.050182144165039064
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "samples/s",
170
- "value": 10.225036099026095
171
  },
172
  "energy": null,
173
  "efficiency": null
@@ -175,7 +175,7 @@
175
  "train": {
176
  "memory": {
177
  "unit": "MB",
178
- "max_ram": 1167.941632,
179
  "max_global_vram": 3379.03616,
180
  "max_process_vram": 0.0,
181
  "max_reserved": 2730.491904,
@@ -184,22 +184,22 @@
184
  "latency": {
185
  "unit": "s",
186
  "count": 3,
187
- "total": 0.14892646408081056,
188
- "mean": 0.04964215469360352,
189
- "stdev": 0.0001008190674057813,
190
- "p50": 0.04961280059814453,
191
- "p90": 0.049744691467285156,
192
- "p95": 0.04976117782592773,
193
- "p99": 0.049774366912841796,
194
  "values": [
195
- 0.04977766418457031,
196
- 0.04961280059814453,
197
- 0.049535999298095705
198
  ]
199
  },
200
  "throughput": {
201
  "unit": "samples/s",
202
- "value": 120.86501959942343
203
  },
204
  "energy": null,
205
  "efficiency": null
 
3
  "name": "cuda_training_transformers_multiple-choice_FacebookAI/roberta-base",
4
  "backend": {
5
  "name": "pytorch",
6
+ "version": "2.4.0+cu124",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "multiple-choice",
9
  "library": "transformers",
 
110
  "overall": {
111
  "memory": {
112
  "unit": "MB",
113
+ "max_ram": 1299.714048,
114
  "max_global_vram": 3379.03616,
115
  "max_process_vram": 0.0,
116
  "max_reserved": 2730.491904,
 
119
  "latency": {
120
  "unit": "s",
121
  "count": 5,
122
+ "total": 0.5484503173828126,
123
+ "mean": 0.10969006347656252,
124
+ "stdev": 0.1172163045443506,
125
+ "p50": 0.050748416900634766,
126
+ "p90": 0.22731100769042972,
127
+ "p95": 0.28571566925048825,
128
+ "p99": 0.33243939849853515,
129
  "values": [
130
+ 0.3441203308105469,
131
+ 0.05209702301025391,
132
+ 0.050748416900634766,
133
+ 0.05073612976074219,
134
+ 0.050748416900634766
135
  ]
136
  },
137
  "throughput": {
138
  "unit": "samples/s",
139
+ "value": 91.16596055336134
140
  },
141
  "energy": null,
142
  "efficiency": null
 
144
  "warmup": {
145
  "memory": {
146
  "unit": "MB",
147
+ "max_ram": 1299.714048,
148
  "max_global_vram": 3379.03616,
149
  "max_process_vram": 0.0,
150
  "max_reserved": 2730.491904,
 
153
  "latency": {
154
  "unit": "s",
155
  "count": 2,
156
+ "total": 0.3962173538208008,
157
+ "mean": 0.1981086769104004,
158
+ "stdev": 0.1460116539001465,
159
+ "p50": 0.1981086769104004,
160
+ "p90": 0.3149180000305176,
161
+ "p95": 0.3295191654205322,
162
+ "p99": 0.34120009773254395,
163
  "values": [
164
+ 0.3441203308105469,
165
+ 0.05209702301025391
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "samples/s",
170
+ "value": 20.190937935591283
171
  },
172
  "energy": null,
173
  "efficiency": null
 
175
  "train": {
176
  "memory": {
177
  "unit": "MB",
178
+ "max_ram": 1299.714048,
179
  "max_global_vram": 3379.03616,
180
  "max_process_vram": 0.0,
181
  "max_reserved": 2730.491904,
 
184
  "latency": {
185
  "unit": "s",
186
  "count": 3,
187
+ "total": 0.1522329635620117,
188
+ "mean": 0.05074432118733724,
189
+ "stdev": 5.7922132929523485e-06,
190
+ "p50": 0.050748416900634766,
191
+ "p90": 0.050748416900634766,
192
+ "p95": 0.050748416900634766,
193
+ "p99": 0.050748416900634766,
194
  "values": [
195
+ 0.050748416900634766,
196
+ 0.05073612976074219,
197
+ 0.050748416900634766
198
  ]
199
  },
200
  "throughput": {
201
  "unit": "samples/s",
202
+ "value": 118.2398317606669
203
  },
204
  "energy": null,
205
  "efficiency": null