IlyasMoutawwakil HF staff commited on
Commit
cf80c01
1 Parent(s): 5f6c6d5

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": "ea76e356b5c355783ee27d2d429a010ded791f8b",
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": 2507.866112,
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": 2.8474123579999286,
118
- "mean": 0.5694824715999858,
119
- "stdev": 0.048415810880861124,
120
- "p50": 0.5471281339999905,
121
- "p90": 0.6199124790000041,
122
- "p95": 0.642991336,
123
- "p99": 0.6614544215999968,
124
  "values": [
125
- 0.6660701929999959,
126
- 0.5506759080000165,
127
- 0.5408213409999689,
128
- 0.5471281339999905,
129
- 0.5427167819999568
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
- "value": 17.559802976735288
135
  },
136
  "energy": null,
137
  "efficiency": null
@@ -139,7 +139,7 @@
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
- "max_ram": 2507.866112,
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": 1.2167461010000125,
152
- "mean": 0.6083730505000062,
153
- "stdev": 0.057697142499989695,
154
- "p50": 0.6083730505000062,
155
- "p90": 0.654530764499998,
156
- "p95": 0.660300478749997,
157
- "p99": 0.6649162501499961,
158
  "values": [
159
- 0.6660701929999959,
160
- 0.5506759080000165
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
- "value": 6.57491319957796
166
  },
167
  "energy": null,
168
  "efficiency": null
@@ -170,7 +170,7 @@
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
- "max_ram": 2507.866112,
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": 1.6306662569999162,
183
- "mean": 0.5435554189999721,
184
- "stdev": 0.0026421447726706505,
185
- "p50": 0.5427167819999568,
186
- "p90": 0.5462458635999837,
187
- "p95": 0.5466869987999872,
188
- "p99": 0.5470399069599898,
189
  "values": [
190
- 0.5408213409999689,
191
- 0.5471281339999905,
192
- 0.5427167819999568
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
- "value": 11.0384328630901
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": "d9ffe3b3809e940419695c4a39c0122d5a6e1611",
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": 2498.658304,
109
  "max_global_vram": null,
110
  "max_process_vram": null,
111
  "max_reserved": null,
 
114
  "latency": {
115
  "unit": "s",
116
  "count": 5,
117
+ "total": 2.840350194000024,
118
+ "mean": 0.5680700388000048,
119
+ "stdev": 0.046875821845197355,
120
+ "p50": 0.5477367020000088,
121
+ "p90": 0.6184848566000027,
122
+ "p95": 0.6397181037999985,
123
+ "p99": 0.656704701559995,
124
  "values": [
125
+ 0.6609513509999942,
126
+ 0.5358129859999963,
127
+ 0.5547851150000156,
128
+ 0.5410640400000091,
129
+ 0.5477367020000088
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
+ "value": 17.603463159444335
135
  },
136
  "energy": null,
137
  "efficiency": null
 
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
+ "max_ram": 2498.658304,
143
  "max_global_vram": null,
144
  "max_process_vram": null,
145
  "max_reserved": null,
 
148
  "latency": {
149
  "unit": "s",
150
  "count": 2,
151
+ "total": 1.1967643369999905,
152
+ "mean": 0.5983821684999953,
153
+ "stdev": 0.06256918249999899,
154
+ "p50": 0.5983821684999953,
155
+ "p90": 0.6484375144999944,
156
+ "p95": 0.6546944327499944,
157
+ "p99": 0.6596999673499943,
158
  "values": [
159
+ 0.6609513509999942,
160
+ 0.5358129859999963
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
+ "value": 6.6846911732464696
166
  },
167
  "energy": null,
168
  "efficiency": null
 
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
+ "max_ram": 2498.658304,
174
  "max_global_vram": null,
175
  "max_process_vram": null,
176
  "max_reserved": null,
 
179
  "latency": {
180
  "unit": "s",
181
  "count": 3,
182
+ "total": 1.6435858570000335,
183
+ "mean": 0.5478619523333444,
184
+ "stdev": 0.005602305508952038,
185
+ "p50": 0.5477367020000088,
186
+ "p90": 0.5533754324000142,
187
+ "p95": 0.5540802737000149,
188
+ "p99": 0.5546441467400155,
189
  "values": [
190
+ 0.5547851150000156,
191
+ 0.5410640400000091,
192
+ 0.5477367020000088
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
+ "value": 10.951663962876042
198
  },
199
  "energy": null,
200
  "efficiency": null