IlyasMoutawwakil HF staff commited on
Commit
d62e72b
1 Parent(s): 8020b7f

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": "a5afcb61847aeed963e326f7c57bd0377566cb81",
90
  "transformers_version": "4.44.2",
91
  "transformers_commit": null,
92
  "accelerate_version": "0.34.2",
@@ -105,7 +105,7 @@
105
  "overall": {
106
  "memory": {
107
  "unit": "MB",
108
- "max_ram": 2883.305472,
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": 3.695324477999975,
118
- "mean": 0.739064895599995,
119
- "stdev": 0.06322579274935079,
120
- "p50": 0.704075386999989,
121
- "p90": 0.8158047507999868,
122
- "p95": 0.835813719399988,
123
- "p99": 0.8518208942799891,
124
  "values": [
125
- 0.8558226879999893,
126
- 0.704075386999989,
127
- 0.755777844999983,
128
- 0.6908866400000022,
129
- 0.6887619180000115
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
- "value": 13.530611532944885
135
  },
136
  "energy": null,
137
  "efficiency": null,
@@ -140,7 +140,7 @@
140
  "warmup": {
141
  "memory": {
142
  "unit": "MB",
143
- "max_ram": 2883.305472,
144
  "max_global_vram": null,
145
  "max_process_vram": null,
146
  "max_reserved": null,
@@ -149,21 +149,21 @@
149
  "latency": {
150
  "unit": "s",
151
  "count": 2,
152
- "total": 1.5598980749999782,
153
- "mean": 0.7799490374999891,
154
- "stdev": 0.07587365050000017,
155
- "p50": 0.7799490374999891,
156
- "p90": 0.8406479578999893,
157
- "p95": 0.8482353229499893,
158
- "p99": 0.8543052149899892,
159
  "values": [
160
- 0.8558226879999893,
161
- 0.704075386999989
162
  ]
163
  },
164
  "throughput": {
165
  "unit": "samples/s",
166
- "value": 5.1285402092698344
167
  },
168
  "energy": null,
169
  "efficiency": null,
@@ -172,7 +172,7 @@
172
  "train": {
173
  "memory": {
174
  "unit": "MB",
175
- "max_ram": 2883.305472,
176
  "max_global_vram": null,
177
  "max_process_vram": null,
178
  "max_reserved": null,
@@ -181,22 +181,22 @@
181
  "latency": {
182
  "unit": "s",
183
  "count": 3,
184
- "total": 2.1354264029999968,
185
- "mean": 0.7118088009999989,
186
- "stdev": 0.03110290697666607,
187
- "p50": 0.6908866400000022,
188
- "p90": 0.7427996039999869,
189
- "p95": 0.749288724499985,
190
- "p99": 0.7544800208999835,
191
  "values": [
192
- 0.755777844999983,
193
- 0.6908866400000022,
194
- 0.6887619180000115
195
  ]
196
  },
197
  "throughput": {
198
  "unit": "samples/s",
199
- "value": 8.429229860000016
200
  },
201
  "energy": null,
202
  "efficiency": null,
 
86
  "processor": "x86_64",
87
  "python_version": "3.10.14",
88
  "optimum_benchmark_version": "0.4.0",
89
+ "optimum_benchmark_commit": "f79396f590b591b244695e2260f1a7fc7dcafd82",
90
  "transformers_version": "4.44.2",
91
  "transformers_commit": null,
92
  "accelerate_version": "0.34.2",
 
105
  "overall": {
106
  "memory": {
107
  "unit": "MB",
108
+ "max_ram": 2868.432896,
109
  "max_global_vram": null,
110
  "max_process_vram": null,
111
  "max_reserved": null,
 
114
  "latency": {
115
  "unit": "s",
116
  "count": 5,
117
+ "total": 3.766207075000011,
118
+ "mean": 0.7532414150000022,
119
+ "stdev": 0.0483840844959051,
120
+ "p50": 0.7311874940000394,
121
+ "p90": 0.8039898001999746,
122
+ "p95": 0.8268355105999717,
123
+ "p99": 0.8451120789199694,
124
  "values": [
125
+ 0.8496812209999689,
126
+ 0.7311874940000394,
127
+ 0.735452668999983,
128
+ 0.7250632490000157,
129
+ 0.7248224420000042
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
+ "value": 13.275956155437857
135
  },
136
  "energy": null,
137
  "efficiency": null,
 
140
  "warmup": {
141
  "memory": {
142
  "unit": "MB",
143
+ "max_ram": 2868.432896,
144
  "max_global_vram": null,
145
  "max_process_vram": null,
146
  "max_reserved": null,
 
149
  "latency": {
150
  "unit": "s",
151
  "count": 2,
152
+ "total": 1.5808687150000083,
153
+ "mean": 0.7904343575000041,
154
+ "stdev": 0.059246863499964775,
155
+ "p50": 0.7904343575000041,
156
+ "p90": 0.8378318482999759,
157
+ "p95": 0.8437565346499725,
158
+ "p99": 0.8484962837299697,
159
  "values": [
160
+ 0.8496812209999689,
161
+ 0.7311874940000394
162
  ]
163
  },
164
  "throughput": {
165
  "unit": "samples/s",
166
+ "value": 5.060508772229045
167
  },
168
  "energy": null,
169
  "efficiency": null,
 
172
  "train": {
173
  "memory": {
174
  "unit": "MB",
175
+ "max_ram": 2868.432896,
176
  "max_global_vram": null,
177
  "max_process_vram": null,
178
  "max_reserved": null,
 
181
  "latency": {
182
  "unit": "s",
183
  "count": 3,
184
+ "total": 2.185338360000003,
185
+ "mean": 0.728446120000001,
186
+ "stdev": 0.0049553535810390684,
187
+ "p50": 0.7250632490000157,
188
+ "p90": 0.7333747849999895,
189
+ "p95": 0.7344137269999862,
190
+ "p99": 0.7352448805999836,
191
  "values": [
192
+ 0.735452668999983,
193
+ 0.7250632490000157,
194
+ 0.7248224420000042
195
  ]
196
  },
197
  "throughput": {
198
  "unit": "samples/s",
199
+ "value": 8.23671076729737
200
  },
201
  "energy": null,
202
  "efficiency": null,