IlyasMoutawwakil HF staff commited on
Commit
84b5bf6
·
verified ·
1 Parent(s): 657b245

Upload cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub

Browse files
cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/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": "f32449e677ccf97474e910c2d5ac206ff11edba2",
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": 2491.486208,
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": 2.758434047999998,
118
- "mean": 0.5516868095999996,
119
- "stdev": 0.045287921153715896,
120
- "p50": 0.5315908769999851,
121
- "p90": 0.5987823748000153,
122
- "p95": 0.620373248400017,
123
- "p99": 0.6376459472800183,
124
  "values": [
125
- 0.6419641220000187,
126
- 0.5340097540000102,
127
- 0.5315908769999851,
128
- 0.5231642899999827,
129
- 0.5277050050000014
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
- "value": 18.126226376973737
135
  },
136
  "energy": null,
137
  "efficiency": null
@@ -139,7 +139,7 @@
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
- "max_ram": 2491.486208,
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": 1.175973876000029,
152
- "mean": 0.5879869380000144,
153
- "stdev": 0.053977184000004286,
154
- "p50": 0.5879869380000144,
155
- "p90": 0.6311686852000179,
156
- "p95": 0.6365664036000183,
157
- "p99": 0.6408845783200187,
158
  "values": [
159
- 0.6419641220000187,
160
- 0.5340097540000102
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
- "value": 6.802872209382144
166
  },
167
  "energy": null,
168
  "efficiency": null
@@ -170,7 +170,7 @@
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
- "max_ram": 2491.486208,
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": 1.5824601719999691,
183
- "mean": 0.5274867239999897,
184
- "stdev": 0.0034436005443311854,
185
- "p50": 0.5277050050000014,
186
- "p90": 0.5308137025999884,
187
- "p95": 0.5312022897999867,
188
- "p99": 0.5315131595599855,
189
  "values": [
190
- 0.5315908769999851,
191
- 0.5231642899999827,
192
- 0.5277050050000014
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
- "value": 11.374693858646037
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": "144d755b3f25afde6379cd1489a9242ba4ce723e",
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": 2503.196672,
109
  "max_global_vram": null,
110
  "max_process_vram": null,
111
  "max_reserved": null,
 
114
  "latency": {
115
  "unit": "s",
116
  "count": 5,
117
+ "total": 2.8378123750000555,
118
+ "mean": 0.5675624750000111,
119
+ "stdev": 0.04140324038391122,
120
+ "p50": 0.5537804410000149,
121
+ "p90": 0.6122406358000262,
122
+ "p95": 0.6304928954000274,
123
+ "p99": 0.6450947030800285,
124
  "values": [
125
+ 0.6487451550000287,
126
+ 0.5341012740000224,
127
+ 0.5574838570000225,
128
+ 0.543701647999967,
129
+ 0.5537804410000149
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
+ "value": 17.619205709468027
135
  },
136
  "energy": null,
137
  "efficiency": null
 
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
+ "max_ram": 2503.196672,
143
  "max_global_vram": null,
144
  "max_process_vram": null,
145
  "max_reserved": null,
 
148
  "latency": {
149
  "unit": "s",
150
  "count": 2,
151
+ "total": 1.182846429000051,
152
+ "mean": 0.5914232145000256,
153
+ "stdev": 0.057321940500003166,
154
+ "p50": 0.5914232145000256,
155
+ "p90": 0.6372807669000281,
156
+ "p95": 0.6430129609500284,
157
+ "p99": 0.6475987161900286,
158
  "values": [
159
+ 0.6487451550000287,
160
+ 0.5341012740000224
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
+ "value": 6.76334628389841
166
  },
167
  "energy": null,
168
  "efficiency": null
 
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
+ "max_ram": 2503.196672,
174
  "max_global_vram": null,
175
  "max_process_vram": null,
176
  "max_reserved": null,
 
179
  "latency": {
180
  "unit": "s",
181
  "count": 3,
182
+ "total": 1.6549659460000044,
183
+ "mean": 0.5516553153333348,
184
+ "stdev": 0.005823769715839233,
185
+ "p50": 0.5537804410000149,
186
+ "p90": 0.5567431738000209,
187
+ "p95": 0.5571135154000217,
188
+ "p99": 0.5574097886800223,
189
  "values": [
190
+ 0.5574838570000225,
191
+ 0.543701647999967,
192
+ 0.5537804410000149
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
+ "value": 10.876356727161292
198
  },
199
  "energy": null,
200
  "efficiency": null