IlyasMoutawwakil HF staff commited on
Commit
a40a278
·
verified ·
1 Parent(s): 52052fa

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
@@ -51,7 +51,8 @@
51
  "per_device_train_batch_size": 2,
52
  "gradient_accumulation_steps": 1,
53
  "output_dir": "./trainer_output",
54
- "evaluation_strategy": "no",
 
55
  "do_train": true,
56
  "use_cpu": false,
57
  "max_steps": 5,
@@ -108,7 +109,7 @@
108
  "overall": {
109
  "memory": {
110
  "unit": "MB",
111
- "max_ram": 1730.932736,
112
  "max_global_vram": 3379.03616,
113
  "max_process_vram": 0.0,
114
  "max_reserved": 2730.491904,
@@ -117,24 +118,24 @@
117
  "latency": {
118
  "unit": "s",
119
  "count": 5,
120
- "total": 0.9002188720703125,
121
- "mean": 0.1800437744140625,
122
- "stdev": 0.2596251287888186,
123
- "p50": 0.05024153518676758,
124
- "p90": 0.4400990158081055,
125
- "p95": 0.569695839691162,
126
- "p99": 0.6733732987976073,
127
  "values": [
128
- 0.6992926635742187,
129
- 0.05130854415893555,
130
- 0.04980121612548828,
131
- 0.04957491302490234,
132
- 0.05024153518676758
133
  ]
134
  },
135
  "throughput": {
136
  "unit": "samples/s",
137
- "value": 55.542048218796616
138
  },
139
  "energy": null,
140
  "efficiency": null
@@ -142,7 +143,7 @@
142
  "warmup": {
143
  "memory": {
144
  "unit": "MB",
145
- "max_ram": 1730.932736,
146
  "max_global_vram": 3379.03616,
147
  "max_process_vram": 0.0,
148
  "max_reserved": 2730.491904,
@@ -151,21 +152,21 @@
151
  "latency": {
152
  "unit": "s",
153
  "count": 2,
154
- "total": 0.7506012077331543,
155
- "mean": 0.37530060386657715,
156
- "stdev": 0.3239920597076416,
157
- "p50": 0.37530060386657715,
158
- "p90": 0.6344942516326904,
159
- "p95": 0.6668934576034545,
160
- "p99": 0.6928128223800659,
161
  "values": [
162
- 0.6992926635742187,
163
- 0.05130854415893555
164
  ]
165
  },
166
  "throughput": {
167
  "unit": "samples/s",
168
- "value": 10.658123005371015
169
  },
170
  "energy": null,
171
  "efficiency": null
@@ -173,7 +174,7 @@
173
  "train": {
174
  "memory": {
175
  "unit": "MB",
176
- "max_ram": 1730.932736,
177
  "max_global_vram": 3379.03616,
178
  "max_process_vram": 0.0,
179
  "max_reserved": 2730.491904,
@@ -182,22 +183,22 @@
182
  "latency": {
183
  "unit": "s",
184
  "count": 3,
185
- "total": 0.1496176643371582,
186
- "mean": 0.04987255477905273,
187
- "stdev": 0.00027678292251240457,
188
- "p50": 0.04980121612548828,
189
- "p90": 0.05015347137451172,
190
- "p95": 0.05019750328063965,
191
- "p99": 0.05023272880554199,
192
  "values": [
193
- 0.04980121612548828,
194
- 0.04957491302490234,
195
- 0.05024153518676758
196
  ]
197
  },
198
  "throughput": {
199
  "unit": "samples/s",
200
- "value": 120.30665015220146
201
  },
202
  "energy": null,
203
  "efficiency": null
 
51
  "per_device_train_batch_size": 2,
52
  "gradient_accumulation_steps": 1,
53
  "output_dir": "./trainer_output",
54
+ "eval_strategy": "no",
55
+ "save_strategy": "no",
56
  "do_train": true,
57
  "use_cpu": false,
58
  "max_steps": 5,
 
109
  "overall": {
110
  "memory": {
111
  "unit": "MB",
112
+ "max_ram": 1108.004864,
113
  "max_global_vram": 3379.03616,
114
  "max_process_vram": 0.0,
115
  "max_reserved": 2730.491904,
 
118
  "latency": {
119
  "unit": "s",
120
  "count": 5,
121
+ "total": 0.9312163467407226,
122
+ "mean": 0.18624326934814453,
123
+ "stdev": 0.27351561859944534,
124
+ "p50": 0.04951241683959961,
125
+ "p90": 0.45999267578125,
126
+ "p95": 0.5966333923339843,
127
+ "p99": 0.7059459655761718,
128
  "values": [
129
+ 0.7332741088867187,
130
+ 0.050070526123046875,
131
+ 0.04951241683959961,
132
+ 0.04926259231567383,
133
+ 0.0490967025756836
134
  ]
135
  },
136
  "throughput": {
137
  "unit": "samples/s",
138
+ "value": 53.69321551860755
139
  },
140
  "energy": null,
141
  "efficiency": null
 
143
  "warmup": {
144
  "memory": {
145
  "unit": "MB",
146
+ "max_ram": 1108.004864,
147
  "max_global_vram": 3379.03616,
148
  "max_process_vram": 0.0,
149
  "max_reserved": 2730.491904,
 
152
  "latency": {
153
  "unit": "s",
154
  "count": 2,
155
+ "total": 0.7833446350097656,
156
+ "mean": 0.3916723175048828,
157
+ "stdev": 0.34160179138183594,
158
+ "p50": 0.3916723175048828,
159
+ "p90": 0.6649537506103516,
160
+ "p95": 0.6991139297485351,
161
+ "p99": 0.726442073059082,
162
  "values": [
163
+ 0.7332741088867187,
164
+ 0.050070526123046875
165
  ]
166
  },
167
  "throughput": {
168
  "unit": "samples/s",
169
+ "value": 10.212618613134776
170
  },
171
  "energy": null,
172
  "efficiency": null
 
174
  "train": {
175
  "memory": {
176
  "unit": "MB",
177
+ "max_ram": 1108.004864,
178
  "max_global_vram": 3379.03616,
179
  "max_process_vram": 0.0,
180
  "max_reserved": 2730.491904,
 
183
  "latency": {
184
  "unit": "s",
185
  "count": 3,
186
+ "total": 0.14787171173095703,
187
+ "mean": 0.04929057057698568,
188
+ "stdev": 0.00017086383396403397,
189
+ "p50": 0.04926259231567383,
190
+ "p90": 0.04946245193481445,
191
+ "p95": 0.04948743438720703,
192
+ "p99": 0.04950742034912109,
193
  "values": [
194
+ 0.04951241683959961,
195
+ 0.04926259231567383,
196
+ 0.0490967025756836
197
  ]
198
  },
199
  "throughput": {
200
  "unit": "samples/s",
201
+ "value": 121.72713624056661
202
  },
203
  "energy": null,
204
  "efficiency": null