IlyasMoutawwakil HF staff commited on
Commit
ab29ee2
1 Parent(s): a55d710

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": "6dfec54249df6146b470c4c2e4a34c46355d4cd9",
90
  "transformers_version": "4.44.2",
91
  "transformers_commit": null,
92
  "accelerate_version": "0.34.0",
@@ -105,7 +105,7 @@
105
  "overall": {
106
  "memory": {
107
  "unit": "MB",
108
- "max_ram": 2867.949568,
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": 3.6680386729999555,
118
- "mean": 0.7336077345999911,
119
- "stdev": 0.05197349883167982,
120
- "p50": 0.7183171319999815,
121
- "p90": 0.7924974629999838,
122
- "p95": 0.8127069959999857,
123
- "p99": 0.8288746223999874,
124
  "values": [
125
- 0.8329165289999878,
126
- 0.7318688639999777,
127
- 0.6891351539999846,
128
- 0.6958009940000238,
129
- 0.7183171319999815
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
- "value": 13.631263042029712
135
  },
136
  "energy": null,
137
  "efficiency": null
@@ -139,7 +139,7 @@
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
- "max_ram": 2867.949568,
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": 1.5647853929999656,
152
- "mean": 0.7823926964999828,
153
- "stdev": 0.05052383250000503,
154
- "p50": 0.7823926964999828,
155
- "p90": 0.8228117624999868,
156
- "p95": 0.8278641457499873,
157
- "p99": 0.8319060523499877,
158
  "values": [
159
- 0.8329165289999878,
160
- 0.7318688639999777
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
- "value": 5.112522161689284
166
  },
167
  "energy": null,
168
  "efficiency": null
@@ -170,7 +170,7 @@
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
- "max_ram": 2867.949568,
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": 2.10325327999999,
183
- "mean": 0.7010844266666633,
184
- "stdev": 0.0124855371144713,
185
- "p50": 0.6958009940000238,
186
- "p90": 0.7138139043999899,
187
- "p95": 0.7160655181999858,
188
- "p99": 0.7178668092399824,
189
  "values": [
190
- 0.6891351539999846,
191
- 0.6958009940000238,
192
- 0.7183171319999815
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
- "value": 8.558170416831627
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": "fa9ef035a540e4a60f1b37660f7a300a32d1f25b",
90
  "transformers_version": "4.44.2",
91
  "transformers_commit": null,
92
  "accelerate_version": "0.34.0",
 
105
  "overall": {
106
  "memory": {
107
  "unit": "MB",
108
+ "max_ram": 2859.798528,
109
  "max_global_vram": null,
110
  "max_process_vram": null,
111
  "max_reserved": null,
 
114
  "latency": {
115
  "unit": "s",
116
  "count": 5,
117
+ "total": 3.6709546430000444,
118
+ "mean": 0.7341909286000089,
119
+ "stdev": 0.04869264918162093,
120
+ "p50": 0.7136233250000146,
121
+ "p90": 0.7848904272000083,
122
+ "p95": 0.8079913896000107,
123
+ "p99": 0.8264721595200126,
124
  "values": [
125
+ 0.8310923520000131,
126
+ 0.7091643870000155,
127
+ 0.7155875400000014,
128
+ 0.7014870389999999,
129
+ 0.7136233250000146
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
+ "value": 13.620435244369592
135
  },
136
  "energy": null,
137
  "efficiency": null
 
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
+ "max_ram": 2859.798528,
143
  "max_global_vram": null,
144
  "max_process_vram": null,
145
  "max_reserved": null,
 
148
  "latency": {
149
  "unit": "s",
150
  "count": 2,
151
+ "total": 1.5402567390000286,
152
+ "mean": 0.7701283695000143,
153
+ "stdev": 0.06096398249999879,
154
+ "p50": 0.7701283695000143,
155
+ "p90": 0.8188995555000134,
156
+ "p95": 0.8249959537500132,
157
+ "p99": 0.8298730723500131,
158
  "values": [
159
+ 0.8310923520000131,
160
+ 0.7091643870000155
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
+ "value": 5.193939294298294
166
  },
167
  "energy": null,
168
  "efficiency": null
 
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
+ "max_ram": 2859.798528,
174
  "max_global_vram": null,
175
  "max_process_vram": null,
176
  "max_reserved": null,
 
179
  "latency": {
180
  "unit": "s",
181
  "count": 3,
182
+ "total": 2.130697904000016,
183
+ "mean": 0.710232634666672,
184
+ "stdev": 0.006235843584484147,
185
+ "p50": 0.7136233250000146,
186
+ "p90": 0.715194697000004,
187
+ "p95": 0.7153911185000027,
188
+ "p99": 0.7155482557000016,
189
  "values": [
190
+ 0.7155875400000014,
191
+ 0.7014870389999999,
192
+ 0.7136233250000146
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
+ "value": 8.44793622137053
198
  },
199
  "energy": null,
200
  "efficiency": null