IlyasMoutawwakil HF staff commited on
Commit
0a7e0d3
1 Parent(s): 2872d3d

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

Browse files
cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json CHANGED
@@ -86,7 +86,7 @@
86
  "processor": "x86_64",
87
  "python_version": "3.10.14",
88
  "optimum_benchmark_version": "0.4.0",
89
- "optimum_benchmark_commit": "4756b5f702260c495d0af8c35cfc26bb79985303",
90
  "transformers_version": "4.44.0",
91
  "transformers_commit": null,
92
  "accelerate_version": "0.33.0",
@@ -105,7 +105,7 @@
105
  "overall": {
106
  "memory": {
107
  "unit": "MB",
108
- "max_ram": 2881.503232,
109
  "max_global_vram": null,
110
  "max_process_vram": null,
111
  "max_reserved": null,
@@ -114,24 +114,24 @@
114
  "latency": {
115
  "unit": "s",
116
  "count": 5,
117
- "total": 3.73650598800009,
118
- "mean": 0.747301197600018,
119
- "stdev": 0.04964840415044211,
120
- "p50": 0.7244749160000197,
121
- "p90": 0.8015481594000221,
122
- "p95": 0.8231845532000193,
123
- "p99": 0.840493668240017,
124
  "values": [
125
- 0.8448209470000165,
126
- 0.7233477139999991,
127
- 0.7072234330000242,
128
- 0.7244749160000197,
129
- 0.7366389780000304
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
- "value": 13.381485312903719
135
  },
136
  "energy": null,
137
  "efficiency": null
@@ -139,7 +139,7 @@
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
- "max_ram": 2881.503232,
143
  "max_global_vram": null,
144
  "max_process_vram": null,
145
  "max_reserved": null,
@@ -148,21 +148,21 @@
148
  "latency": {
149
  "unit": "s",
150
  "count": 2,
151
- "total": 1.5681686610000156,
152
- "mean": 0.7840843305000078,
153
- "stdev": 0.06073661650000872,
154
- "p50": 0.7840843305000078,
155
- "p90": 0.8326736237000147,
156
- "p95": 0.8387472853500156,
157
- "p99": 0.8436062146700164,
158
  "values": [
159
- 0.8448209470000165,
160
- 0.7233477139999991
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
- "value": 5.101492077324405
166
  },
167
  "energy": null,
168
  "efficiency": null
@@ -170,7 +170,7 @@
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
- "max_ram": 2881.503232,
174
  "max_global_vram": null,
175
  "max_process_vram": null,
176
  "max_reserved": null,
@@ -179,22 +179,22 @@
179
  "latency": {
180
  "unit": "s",
181
  "count": 3,
182
- "total": 2.1683373270000743,
183
- "mean": 0.7227791090000247,
184
- "stdev": 0.012068565033390707,
185
- "p50": 0.7244749160000197,
186
- "p90": 0.7342061656000283,
187
- "p95": 0.7354225718000293,
188
- "p99": 0.7363956967600302,
189
  "values": [
190
- 0.7072234330000242,
191
- 0.7244749160000197,
192
- 0.7366389780000304
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
- "value": 8.30129139772881
198
  },
199
  "energy": null,
200
  "efficiency": null
 
86
  "processor": "x86_64",
87
  "python_version": "3.10.14",
88
  "optimum_benchmark_version": "0.4.0",
89
+ "optimum_benchmark_commit": "900139739b058e0bc6c42842dca50b13fd103f21",
90
  "transformers_version": "4.44.0",
91
  "transformers_commit": null,
92
  "accelerate_version": "0.33.0",
 
105
  "overall": {
106
  "memory": {
107
  "unit": "MB",
108
+ "max_ram": 2857.299968,
109
  "max_global_vram": null,
110
  "max_process_vram": null,
111
  "max_reserved": null,
 
114
  "latency": {
115
  "unit": "s",
116
  "count": 5,
117
+ "total": 3.626581095000006,
118
+ "mean": 0.7253162190000012,
119
+ "stdev": 0.04801454406161253,
120
+ "p50": 0.7008546289999913,
121
+ "p90": 0.7782902413999977,
122
+ "p95": 0.7992225372000007,
123
+ "p99": 0.8159683738400031,
124
  "values": [
125
+ 0.8201548330000037,
126
+ 0.7008546289999913,
127
+ 0.6965153429999873,
128
+ 0.7154933539999888,
129
+ 0.6935629360000348
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
+ "value": 13.787090014045285
135
  },
136
  "energy": null,
137
  "efficiency": null
 
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
+ "max_ram": 2857.299968,
143
  "max_global_vram": null,
144
  "max_process_vram": null,
145
  "max_reserved": null,
 
148
  "latency": {
149
  "unit": "s",
150
  "count": 2,
151
+ "total": 1.521009461999995,
152
+ "mean": 0.7605047309999975,
153
+ "stdev": 0.0596501020000062,
154
+ "p50": 0.7605047309999975,
155
+ "p90": 0.8082248126000025,
156
+ "p95": 0.8141898228000031,
157
+ "p99": 0.8189618309600035,
158
  "values": [
159
+ 0.8201548330000037,
160
+ 0.7008546289999913
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
+ "value": 5.259664847502458
166
  },
167
  "energy": null,
168
  "efficiency": null
 
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
+ "max_ram": 2857.299968,
174
  "max_global_vram": null,
175
  "max_process_vram": null,
176
  "max_reserved": null,
 
179
  "latency": {
180
  "unit": "s",
181
  "count": 3,
182
+ "total": 2.105571633000011,
183
+ "mean": 0.7018572110000036,
184
+ "stdev": 0.009717251796345696,
185
+ "p50": 0.6965153429999873,
186
+ "p90": 0.7116977517999885,
187
+ "p95": 0.7135955528999887,
188
+ "p99": 0.7151137937799887,
189
  "values": [
190
+ 0.6965153429999873,
191
+ 0.7154933539999888,
192
+ 0.6935629360000348
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
+ "value": 8.548747389018375
198
  },
199
  "energy": null,
200
  "efficiency": null