IlyasMoutawwakil HF staff commited on
Commit
968c31d
1 Parent(s): c1488ea

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": "a05e8061e1f1403da4692a0464652cfdbef09161",
90
  "transformers_version": "4.44.2",
91
  "transformers_commit": null,
92
  "accelerate_version": "0.33.0",
@@ -105,7 +105,7 @@
105
  "overall": {
106
  "memory": {
107
  "unit": "MB",
108
- "max_ram": 2879.025152,
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": 3.79513802799994,
118
- "mean": 0.7590276055999879,
119
- "stdev": 0.04899203669392388,
120
- "p50": 0.7363114559999531,
121
- "p90": 0.8117943469999773,
122
- "p95": 0.8339705059999801,
123
- "p99": 0.8517114331999823,
124
  "values": [
125
- 0.8561466649999829,
126
- 0.7322356000000241,
127
- 0.7363114559999531,
128
- 0.7452658699999688,
129
- 0.725178437000011
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
- "value": 13.174751387461471
135
  },
136
  "energy": null,
137
  "efficiency": null
@@ -139,7 +139,7 @@
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
- "max_ram": 2879.025152,
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": 1.588382265000007,
152
- "mean": 0.7941911325000035,
153
- "stdev": 0.06195553249997943,
154
- "p50": 0.7941911325000035,
155
- "p90": 0.8437555584999871,
156
- "p95": 0.8499511117499849,
157
- "p99": 0.8549075543499833,
158
  "values": [
159
- 0.8561466649999829,
160
- 0.7322356000000241
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
- "value": 5.036570966750227
166
  },
167
  "energy": null,
168
  "efficiency": null
@@ -170,7 +170,7 @@
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
- "max_ram": 2879.025152,
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": 2.206755762999933,
183
- "mean": 0.7355852543333109,
184
- "stdev": 0.008216721478279291,
185
- "p50": 0.7363114559999531,
186
- "p90": 0.7434749871999656,
187
- "p95": 0.7443704285999673,
188
- "p99": 0.7450867817199684,
189
  "values": [
190
- 0.7363114559999531,
191
- 0.7452658699999688,
192
- 0.725178437000011
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
- "value": 8.156770360273235
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": "81f067a1f11a4e373792667718ef95ea9a0dea36",
90
  "transformers_version": "4.44.2",
91
  "transformers_commit": null,
92
  "accelerate_version": "0.33.0",
 
105
  "overall": {
106
  "memory": {
107
  "unit": "MB",
108
+ "max_ram": 2870.030336,
109
  "max_global_vram": null,
110
  "max_process_vram": null,
111
  "max_reserved": null,
 
114
  "latency": {
115
  "unit": "s",
116
  "count": 5,
117
+ "total": 3.755810494000059,
118
+ "mean": 0.7511620988000118,
119
+ "stdev": 0.04715223726770805,
120
+ "p50": 0.7322739980000392,
121
+ "p90": 0.8010073148000061,
122
+ "p95": 0.82290352240002,
123
+ "p99": 0.840420488480031,
124
  "values": [
125
+ 0.8447997300000338,
126
+ 0.7199883060000047,
127
+ 0.7353186919999644,
128
+ 0.7234297680000168,
129
+ 0.7322739980000392
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
+ "value": 13.31270576081393
135
  },
136
  "energy": null,
137
  "efficiency": null
 
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
+ "max_ram": 2870.030336,
143
  "max_global_vram": null,
144
  "max_process_vram": null,
145
  "max_reserved": null,
 
148
  "latency": {
149
  "unit": "s",
150
  "count": 2,
151
+ "total": 1.5647880360000386,
152
+ "mean": 0.7823940180000193,
153
+ "stdev": 0.062405712000014546,
154
+ "p50": 0.7823940180000193,
155
+ "p90": 0.832318587600031,
156
+ "p95": 0.8385591588000324,
157
+ "p99": 0.8435516157600336,
158
  "values": [
159
+ 0.8447997300000338,
160
+ 0.7199883060000047
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
+ "value": 5.112513526400583
166
  },
167
  "energy": null,
168
  "efficiency": null
 
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
+ "max_ram": 2870.030336,
174
  "max_global_vram": null,
175
  "max_process_vram": null,
176
  "max_reserved": null,
 
179
  "latency": {
180
  "unit": "s",
181
  "count": 3,
182
+ "total": 2.1910224580000204,
183
+ "mean": 0.7303408193333402,
184
+ "stdev": 0.005042453985059767,
185
+ "p50": 0.7322739980000392,
186
+ "p90": 0.7347097531999793,
187
+ "p95": 0.7350142225999718,
188
+ "p99": 0.7352577981199658,
189
  "values": [
190
+ 0.7353186919999644,
191
+ 0.7234297680000168,
192
+ 0.7322739980000392
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
+ "value": 8.2153425375797
198
  },
199
  "energy": null,
200
  "efficiency": null