IlyasMoutawwakil HF staff commited on
Commit
3312976
·
verified ·
1 Parent(s): 0fe522e

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
@@ -11,7 +11,7 @@
11
  "model": "FacebookAI/roberta-base",
12
  "processor": "FacebookAI/roberta-base",
13
  "device": "cuda",
14
- "device_ids": "6",
15
  "seed": 42,
16
  "inter_op_num_threads": null,
17
  "intra_op_num_threads": null,
@@ -118,32 +118,32 @@
118
  "memory": {
119
  "unit": "MB",
120
  "max_ram": 1139.224576,
121
- "max_global_vram": 3149.06624,
122
- "max_process_vram": 291442.794496,
123
  "max_reserved": 2707.423232,
124
  "max_allocated": 2497.88416
125
  },
126
  "latency": {
127
  "unit": "s",
128
  "count": 5,
129
- "total": 0.7827523040771485,
130
- "mean": 0.1565504608154297,
131
- "stdev": 0.22232759701317045,
132
- "p50": 0.04543209838867188,
133
- "p90": 0.3789864471435548,
134
- "p95": 0.49009597625732415,
135
- "p99": 0.5789835995483398,
136
  "values": [
137
- 0.6012055053710937,
138
- 0.04565785980224609,
139
- 0.04537065887451172,
140
- 0.04543209838867188,
141
- 0.045086181640625
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
- "value": 63.877167450754605
147
  },
148
  "energy": null,
149
  "efficiency": null
@@ -152,29 +152,29 @@
152
  "memory": {
153
  "unit": "MB",
154
  "max_ram": 1139.224576,
155
- "max_global_vram": 3149.06624,
156
- "max_process_vram": 291442.794496,
157
  "max_reserved": 2707.423232,
158
  "max_allocated": 2497.88416
159
  },
160
  "latency": {
161
  "unit": "s",
162
  "count": 2,
163
- "total": 0.6468633651733399,
164
- "mean": 0.32343168258666993,
165
- "stdev": 0.2777738227844238,
166
- "p50": 0.32343168258666993,
167
- "p90": 0.545650740814209,
168
- "p95": 0.5734281230926513,
169
- "p99": 0.5956500289154053,
170
  "values": [
171
- 0.6012055053710937,
172
- 0.04565785980224609
173
  ]
174
  },
175
  "throughput": {
176
  "unit": "samples/s",
177
- "value": 12.367372200551566
178
  },
179
  "energy": null,
180
  "efficiency": null
@@ -183,30 +183,30 @@
183
  "memory": {
184
  "unit": "MB",
185
  "max_ram": 1139.224576,
186
- "max_global_vram": 3149.06624,
187
- "max_process_vram": 291442.794496,
188
  "max_reserved": 2707.423232,
189
  "max_allocated": 2497.88416
190
  },
191
  "latency": {
192
  "unit": "s",
193
  "count": 3,
194
- "total": 0.1358889389038086,
195
- "mean": 0.0452963129679362,
196
- "stdev": 0.0001506875011698795,
197
- "p50": 0.04537065887451172,
198
- "p90": 0.045419810485839845,
199
- "p95": 0.04542595443725586,
200
- "p99": 0.04543086959838867,
201
  "values": [
202
- 0.04537065887451172,
203
- 0.04543209838867188,
204
- 0.045086181640625
205
  ]
206
  },
207
  "throughput": {
208
  "unit": "samples/s",
209
- "value": 132.4611123260122
210
  },
211
  "energy": null,
212
  "efficiency": null
 
11
  "model": "FacebookAI/roberta-base",
12
  "processor": "FacebookAI/roberta-base",
13
  "device": "cuda",
14
+ "device_ids": "5",
15
  "seed": 42,
16
  "inter_op_num_threads": null,
17
  "intra_op_num_threads": null,
 
118
  "memory": {
119
  "unit": "MB",
120
  "max_ram": 1139.224576,
121
+ "max_global_vram": 3149.144064,
122
+ "max_process_vram": 322761.859072,
123
  "max_reserved": 2707.423232,
124
  "max_allocated": 2497.88416
125
  },
126
  "latency": {
127
  "unit": "s",
128
  "count": 5,
129
+ "total": 0.8111204566955567,
130
+ "mean": 0.16222409133911134,
131
+ "stdev": 0.23660637497480397,
132
+ "p50": 0.04399635314941406,
133
+ "p90": 0.3989738723754883,
134
+ "p95": 0.5172052589416503,
135
+ "p99": 0.6117903681945801,
136
  "values": [
137
+ 0.6354366455078125,
138
+ 0.04399635314941406,
139
+ 0.04427971267700195,
140
+ 0.043665313720703126,
141
+ 0.043742431640625
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
+ "value": 61.643125367218836
147
  },
148
  "energy": null,
149
  "efficiency": null
 
152
  "memory": {
153
  "unit": "MB",
154
  "max_ram": 1139.224576,
155
+ "max_global_vram": 3149.144064,
156
+ "max_process_vram": 322761.859072,
157
  "max_reserved": 2707.423232,
158
  "max_allocated": 2497.88416
159
  },
160
  "latency": {
161
  "unit": "s",
162
  "count": 2,
163
+ "total": 0.6794329986572266,
164
+ "mean": 0.3397164993286133,
165
+ "stdev": 0.29572014617919923,
166
+ "p50": 0.3397164993286133,
167
+ "p90": 0.5762926162719727,
168
+ "p95": 0.6058646308898926,
169
+ "p99": 0.6295222425842285,
170
  "values": [
171
+ 0.6354366455078125,
172
+ 0.04399635314941406
173
  ]
174
  },
175
  "throughput": {
176
  "unit": "samples/s",
177
+ "value": 11.774523780579568
178
  },
179
  "energy": null,
180
  "efficiency": null
 
183
  "memory": {
184
  "unit": "MB",
185
  "max_ram": 1139.224576,
186
+ "max_global_vram": 3149.144064,
187
+ "max_process_vram": 322761.859072,
188
  "max_reserved": 2707.423232,
189
  "max_allocated": 2497.88416
190
  },
191
  "latency": {
192
  "unit": "s",
193
  "count": 3,
194
+ "total": 0.13168745803833007,
195
+ "mean": 0.043895819346110025,
196
+ "stdev": 0.00027327319727181746,
197
+ "p50": 0.043742431640625,
198
+ "p90": 0.04417225646972656,
199
+ "p95": 0.044225984573364255,
200
+ "p99": 0.044268967056274415,
201
  "values": [
202
+ 0.04427971267700195,
203
+ 0.043665313720703126,
204
+ 0.043742431640625
205
  ]
206
  },
207
  "throughput": {
208
  "unit": "samples/s",
209
+ "value": 136.68727658757575
210
  },
211
  "energy": null,
212
  "efficiency": null