IlyasMoutawwakil HF staff commited on
Commit
fc4954d
1 Parent(s): 4ddd81d

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
@@ -3,7 +3,7 @@
3
  "name": "cpu_training_transformers_multiple-choice_FacebookAI/roberta-base",
4
  "backend": {
5
  "name": "pytorch",
6
- "version": "2.3.1+cpu",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "multiple-choice",
9
  "library": "transformers",
@@ -82,14 +82,14 @@
82
  "cpu_ram_mb": 16757.342208,
83
  "system": "Linux",
84
  "machine": "x86_64",
85
- "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
86
  "processor": "x86_64",
87
  "python_version": "3.10.14",
88
  "optimum_benchmark_version": "0.3.1",
89
- "optimum_benchmark_commit": "328b924ef0be0164f0dc86652abfd3746f634c6b",
90
  "transformers_version": "4.42.4",
91
  "transformers_commit": null,
92
- "accelerate_version": "0.32.1",
93
  "accelerate_commit": null,
94
  "diffusers_version": "0.29.2",
95
  "diffusers_commit": null,
@@ -105,7 +105,7 @@
105
  "overall": {
106
  "memory": {
107
  "unit": "MB",
108
- "max_ram": 2845.687808,
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": 3.7806990290000044,
118
- "mean": 0.7561398058000008,
119
- "stdev": 0.04341917958300541,
120
- "p50": 0.7568709700000227,
121
- "p90": 0.8049885619999827,
122
- "p95": 0.8164336899999853,
123
- "p99": 0.8255897923999873,
124
  "values": [
125
- 0.8278788179999879,
126
- 0.7568709700000227,
127
- 0.700702352999997,
128
- 0.7245937100000219,
129
- 0.770653177999975
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
- "value": 13.225067538165028
135
  },
136
  "energy": null,
137
  "efficiency": null
@@ -139,7 +139,7 @@
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
- "max_ram": 2845.687808,
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": 1.5847497880000105,
152
- "mean": 0.7923748940000053,
153
- "stdev": 0.03550392399998259,
154
- "p50": 0.7923748940000053,
155
- "p90": 0.8207780331999913,
156
- "p95": 0.8243284255999896,
157
- "p99": 0.8271687395199883,
158
  "values": [
159
- 0.8278788179999879,
160
- 0.7568709700000227
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
- "value": 5.048115519924554
166
  },
167
  "energy": null,
168
  "efficiency": null
@@ -170,7 +170,7 @@
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
- "max_ram": 2845.687808,
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": 2.195949240999994,
183
- "mean": 0.7319830803333313,
184
- "stdev": 0.029031380435504423,
185
- "p50": 0.7245937100000219,
186
- "p90": 0.7614412843999844,
187
- "p95": 0.7660472311999798,
188
- "p99": 0.7697319886399759,
189
  "values": [
190
- 0.700702352999997,
191
- 0.7245937100000219,
192
- 0.770653177999975
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
- "value": 8.196910777319761
198
  },
199
  "energy": null,
200
  "efficiency": null
 
3
  "name": "cpu_training_transformers_multiple-choice_FacebookAI/roberta-base",
4
  "backend": {
5
  "name": "pytorch",
6
+ "version": "2.4.0+cpu",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "multiple-choice",
9
  "library": "transformers",
 
82
  "cpu_ram_mb": 16757.342208,
83
  "system": "Linux",
84
  "machine": "x86_64",
85
+ "platform": "Linux-6.5.0-1024-azure-x86_64-with-glibc2.35",
86
  "processor": "x86_64",
87
  "python_version": "3.10.14",
88
  "optimum_benchmark_version": "0.3.1",
89
+ "optimum_benchmark_commit": "b0801269b3611e452bb077a62163b08a99ceb2a9",
90
  "transformers_version": "4.42.4",
91
  "transformers_commit": null,
92
+ "accelerate_version": "0.33.0",
93
  "accelerate_commit": null,
94
  "diffusers_version": "0.29.2",
95
  "diffusers_commit": null,
 
105
  "overall": {
106
  "memory": {
107
  "unit": "MB",
108
+ "max_ram": 2856.964096,
109
  "max_global_vram": null,
110
  "max_process_vram": null,
111
  "max_reserved": null,
 
114
  "latency": {
115
  "unit": "s",
116
  "count": 5,
117
+ "total": 3.753681169999936,
118
+ "mean": 0.7507362339999872,
119
+ "stdev": 0.047008988663078934,
120
+ "p50": 0.7321950989999664,
121
+ "p90": 0.799644987399995,
122
+ "p95": 0.8219704641999896,
123
+ "p99": 0.8398308456399854,
124
  "values": [
125
+ 0.8442959409999844,
126
+ 0.7326685570000109,
127
+ 0.7321950989999664,
128
+ 0.7208662539999864,
129
+ 0.7236553189999881
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
+ "value": 13.320257564656417
135
  },
136
  "energy": null,
137
  "efficiency": null
 
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
+ "max_ram": 2856.964096,
143
  "max_global_vram": null,
144
  "max_process_vram": null,
145
  "max_reserved": null,
 
148
  "latency": {
149
  "unit": "s",
150
  "count": 2,
151
+ "total": 1.5769644979999953,
152
+ "mean": 0.7884822489999976,
153
+ "stdev": 0.05581369199998676,
154
+ "p50": 0.7884822489999976,
155
+ "p90": 0.833133202599987,
156
+ "p95": 0.8387145717999858,
157
+ "p99": 0.8431796671599847,
158
  "values": [
159
+ 0.8442959409999844,
160
+ 0.7326685570000109
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
+ "value": 5.073037478108162
166
  },
167
  "energy": null,
168
  "efficiency": null
 
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
+ "max_ram": 2856.964096,
174
  "max_global_vram": null,
175
  "max_process_vram": null,
176
  "max_reserved": null,
 
179
  "latency": {
180
  "unit": "s",
181
  "count": 3,
182
+ "total": 2.176716671999941,
183
+ "mean": 0.7255722239999803,
184
+ "stdev": 0.004819514210833503,
185
+ "p50": 0.7236553189999881,
186
+ "p90": 0.7304871429999708,
187
+ "p95": 0.7313411209999685,
188
+ "p99": 0.7320243033999668,
189
  "values": [
190
+ 0.7321950989999664,
191
+ 0.7208662539999864,
192
+ 0.7236553189999881
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
+ "value": 8.269335293629105
198
  },
199
  "energy": null,
200
  "efficiency": null