IlyasMoutawwakil HF staff commited on
Commit
e4f5b6c
1 Parent(s): e1a281d

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
@@ -7,6 +7,7 @@
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "multiple-choice",
9
  "library": "transformers",
 
10
  "model": "FacebookAI/roberta-base",
11
  "processor": "FacebookAI/roberta-base",
12
  "device": "cpu",
@@ -79,14 +80,14 @@
79
  "environment": {
80
  "cpu": " AMD EPYC 7763 64-Core Processor",
81
  "cpu_count": 4,
82
- "cpu_ram_mb": 16757.338112,
83
  "system": "Linux",
84
  "machine": "x86_64",
85
  "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
86
  "processor": "x86_64",
87
  "python_version": "3.10.14",
88
  "optimum_benchmark_version": "0.3.1",
89
- "optimum_benchmark_commit": "c31e63ddb94c29460ba90ff599147e94ff80543a",
90
  "transformers_version": "4.42.4",
91
  "transformers_commit": null,
92
  "accelerate_version": "0.32.1",
@@ -105,7 +106,7 @@
105
  "overall": {
106
  "memory": {
107
  "unit": "MB",
108
- "max_ram": 2845.974528,
109
  "max_global_vram": null,
110
  "max_process_vram": null,
111
  "max_reserved": null,
@@ -114,24 +115,24 @@
114
  "latency": {
115
  "unit": "s",
116
  "count": 5,
117
- "total": 3.7212156319999963,
118
- "mean": 0.7442431263999992,
119
- "stdev": 0.041828303031663,
120
- "p50": 0.7276294619999817,
121
- "p90": 0.7876823494000064,
122
- "p95": 0.8073173842000073,
123
- "p99": 0.8230254120400081,
124
  "values": [
125
- 0.8269524190000084,
126
- 0.7276294619999817,
127
- 0.7263550499999951,
128
- 0.7115014560000077,
129
- 0.7287772450000034
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
- "value": 13.436469408016302
135
  },
136
  "energy": null,
137
  "efficiency": null
@@ -139,7 +140,7 @@
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
- "max_ram": 2845.974528,
143
  "max_global_vram": null,
144
  "max_process_vram": null,
145
  "max_reserved": null,
@@ -148,21 +149,21 @@
148
  "latency": {
149
  "unit": "s",
150
  "count": 2,
151
- "total": 1.55458188099999,
152
- "mean": 0.777290940499995,
153
- "stdev": 0.049661478500013345,
154
- "p50": 0.777290940499995,
155
- "p90": 0.8170201233000057,
156
- "p95": 0.821986271150007,
157
- "p99": 0.8259591894300081,
158
  "values": [
159
- 0.8269524190000084,
160
- 0.7276294619999817
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
- "value": 5.146078246360348
166
  },
167
  "energy": null,
168
  "efficiency": null
@@ -170,7 +171,7 @@
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
- "max_ram": 2845.974528,
174
  "max_global_vram": null,
175
  "max_process_vram": null,
176
  "max_reserved": null,
@@ -179,22 +180,22 @@
179
  "latency": {
180
  "unit": "s",
181
  "count": 3,
182
- "total": 2.166633751000006,
183
- "mean": 0.7222112503333354,
184
- "stdev": 0.0076372564075131094,
185
- "p50": 0.7263550499999951,
186
- "p90": 0.7282928060000018,
187
- "p95": 0.7285350255000026,
188
- "p99": 0.7287288011000033,
189
  "values": [
190
- 0.7263550499999951,
191
- 0.7115014560000077,
192
- 0.7287772450000034
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
- "value": 8.307818518793095
198
  },
199
  "energy": null,
200
  "efficiency": null
 
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "multiple-choice",
9
  "library": "transformers",
10
+ "model_type": "roberta",
11
  "model": "FacebookAI/roberta-base",
12
  "processor": "FacebookAI/roberta-base",
13
  "device": "cpu",
 
80
  "environment": {
81
  "cpu": " AMD EPYC 7763 64-Core Processor",
82
  "cpu_count": 4,
83
+ "cpu_ram_mb": 16757.342208,
84
  "system": "Linux",
85
  "machine": "x86_64",
86
  "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
87
  "processor": "x86_64",
88
  "python_version": "3.10.14",
89
  "optimum_benchmark_version": "0.3.1",
90
+ "optimum_benchmark_commit": "402644384abc46743e46dac65be6512bc68c9d92",
91
  "transformers_version": "4.42.4",
92
  "transformers_commit": null,
93
  "accelerate_version": "0.32.1",
 
106
  "overall": {
107
  "memory": {
108
  "unit": "MB",
109
+ "max_ram": 2846.748672,
110
  "max_global_vram": null,
111
  "max_process_vram": null,
112
  "max_reserved": null,
 
115
  "latency": {
116
  "unit": "s",
117
  "count": 5,
118
+ "total": 3.836384333000069,
119
+ "mean": 0.7672768666000138,
120
+ "stdev": 0.06333402371238167,
121
+ "p50": 0.7372615920000385,
122
+ "p90": 0.8384438644000056,
123
+ "p95": 0.8646655512000052,
124
+ "p99": 0.8856429006400048,
125
  "values": [
126
+ 0.8908872380000048,
127
+ 0.7597788040000069,
128
+ 0.7372615920000385,
129
+ 0.7317443850000132,
130
+ 0.7167123140000058
131
  ]
132
  },
133
  "throughput": {
134
  "unit": "samples/s",
135
+ "value": 13.03310504370134
136
  },
137
  "energy": null,
138
  "efficiency": null
 
140
  "warmup": {
141
  "memory": {
142
  "unit": "MB",
143
+ "max_ram": 2846.748672,
144
  "max_global_vram": null,
145
  "max_process_vram": null,
146
  "max_reserved": null,
 
149
  "latency": {
150
  "unit": "s",
151
  "count": 2,
152
+ "total": 1.6506660420000117,
153
+ "mean": 0.8253330210000058,
154
+ "stdev": 0.06555421699999897,
155
+ "p50": 0.8253330210000058,
156
+ "p90": 0.877776394600005,
157
+ "p95": 0.8843318163000049,
158
+ "p99": 0.8895761536600049,
159
  "values": [
160
+ 0.8908872380000048,
161
+ 0.7597788040000069
162
  ]
163
  },
164
  "throughput": {
165
  "unit": "samples/s",
166
+ "value": 4.846528489982678
167
  },
168
  "energy": null,
169
  "efficiency": null
 
171
  "train": {
172
  "memory": {
173
  "unit": "MB",
174
+ "max_ram": 2846.748672,
175
  "max_global_vram": null,
176
  "max_process_vram": null,
177
  "max_reserved": null,
 
180
  "latency": {
181
  "unit": "s",
182
  "count": 3,
183
+ "total": 2.1857182910000574,
184
+ "mean": 0.7285727636666858,
185
+ "stdev": 0.008683800742077929,
186
+ "p50": 0.7317443850000132,
187
+ "p90": 0.7361581506000334,
188
+ "p95": 0.736709871300036,
189
+ "p99": 0.7371512478600379,
190
  "values": [
191
+ 0.7372615920000385,
192
+ 0.7317443850000132,
193
+ 0.7167123140000058
194
  ]
195
  },
196
  "throughput": {
197
  "unit": "samples/s",
198
+ "value": 8.23527902663259
199
  },
200
  "energy": null,
201
  "efficiency": null