IlyasMoutawwakil HF staff commited on
Commit
4fab8cb
1 Parent(s): f29ab21

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
@@ -79,14 +79,14 @@
79
  "environment": {
80
  "cpu": " AMD EPYC 7763 64-Core Processor",
81
  "cpu_count": 4,
82
- "cpu_ram_mb": 16766.7712,
83
  "system": "Linux",
84
  "machine": "x86_64",
85
  "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
86
  "processor": "x86_64",
87
  "python_version": "3.10.15",
88
  "optimum_benchmark_version": "0.4.0",
89
- "optimum_benchmark_commit": "5b6603a8edb1b68a5ad55f7d9b6f7779363a15ec",
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": 2857.938944,
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": 3.744674155000041,
118
- "mean": 0.7489348310000082,
119
- "stdev": 0.05072886381333546,
120
- "p50": 0.7273778790000165,
121
- "p90": 0.8018123242000115,
122
- "p95": 0.8258855576000087,
123
- "p99": 0.8451441443200065,
124
  "values": [
125
- 0.8499587910000059,
126
- 0.7295926240000199,
127
- 0.7161403409999707,
128
- 0.7273778790000165,
129
- 0.7216045200000281
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
- "value": 13.35229660322727
135
  },
136
  "energy": null,
137
  "efficiency": null
@@ -139,7 +139,7 @@
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
- "max_ram": 2857.938944,
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": 1.5795514150000258,
152
- "mean": 0.7897757075000129,
153
- "stdev": 0.06018308349999302,
154
- "p50": 0.7897757075000129,
155
- "p90": 0.8379221743000074,
156
- "p95": 0.8439404826500067,
157
- "p99": 0.8487551293300061,
158
  "values": [
159
- 0.8499587910000059,
160
- 0.7295926240000199
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
- "value": 5.0647290895560175
166
  },
167
  "energy": null,
168
  "efficiency": null
@@ -170,7 +170,7 @@
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
- "max_ram": 2857.938944,
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": 2.1651227400000153,
183
- "mean": 0.7217075800000051,
184
- "stdev": 0.004588284435989463,
185
- "p50": 0.7216045200000281,
186
- "p90": 0.7262232072000188,
187
- "p95": 0.7268005431000176,
188
- "p99": 0.7272624118200167,
189
  "values": [
190
- 0.7161403409999707,
191
- 0.7273778790000165,
192
- 0.7216045200000281
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
- "value": 8.313616437283308
198
  },
199
  "energy": null,
200
  "efficiency": null
 
79
  "environment": {
80
  "cpu": " AMD EPYC 7763 64-Core Processor",
81
  "cpu_count": 4,
82
+ "cpu_ram_mb": 16766.767104,
83
  "system": "Linux",
84
  "machine": "x86_64",
85
  "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35",
86
  "processor": "x86_64",
87
  "python_version": "3.10.15",
88
  "optimum_benchmark_version": "0.4.0",
89
+ "optimum_benchmark_commit": "46db89c5b1a1dcc2a31d7473680ba370c6eac68f",
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": 2864.279552,
109
  "max_global_vram": null,
110
  "max_process_vram": null,
111
  "max_reserved": null,
 
114
  "latency": {
115
  "unit": "s",
116
  "count": 5,
117
+ "total": 3.89657038699994,
118
+ "mean": 0.779314077399988,
119
+ "stdev": 0.049138070043601795,
120
+ "p50": 0.7528731829999629,
121
+ "p90": 0.8324214901999994,
122
+ "p95": 0.854667736600004,
123
+ "p99": 0.8724647337200077,
124
  "values": [
125
+ 0.8769139830000086,
126
+ 0.7656827509999857,
127
+ 0.7524681570000098,
128
+ 0.7528731829999629,
129
+ 0.7486323129999732
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
+ "value": 12.83179694810958
135
  },
136
  "energy": null,
137
  "efficiency": null
 
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
+ "max_ram": 2864.279552,
143
  "max_global_vram": null,
144
  "max_process_vram": null,
145
  "max_reserved": null,
 
148
  "latency": {
149
  "unit": "s",
150
  "count": 2,
151
+ "total": 1.6425967339999943,
152
+ "mean": 0.8212983669999971,
153
+ "stdev": 0.055615616000011414,
154
+ "p50": 0.8212983669999971,
155
+ "p90": 0.8657908598000063,
156
+ "p95": 0.8713524214000075,
157
+ "p99": 0.8758016706800084,
158
  "values": [
159
+ 0.8769139830000086,
160
+ 0.7656827509999857
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
+ "value": 4.8703372132724745
166
  },
167
  "energy": null,
168
  "efficiency": null
 
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
+ "max_ram": 2864.279552,
174
  "max_global_vram": null,
175
  "max_process_vram": null,
176
  "max_reserved": null,
 
179
  "latency": {
180
  "unit": "s",
181
  "count": 3,
182
+ "total": 2.253973652999946,
183
+ "mean": 0.751324550999982,
184
+ "stdev": 0.0019108672728506892,
185
+ "p50": 0.7524681570000098,
186
+ "p90": 0.7527921777999722,
187
+ "p95": 0.7528326803999675,
188
+ "p99": 0.7528650824799638,
189
  "values": [
190
+ 0.7524681570000098,
191
+ 0.7528731829999629,
192
+ 0.7486323129999732
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
+ "value": 7.98589636398045
198
  },
199
  "energy": null,
200
  "efficiency": null