IlyasMoutawwakil HF staff commited on
Commit
6a17343
·
verified ·
1 Parent(s): bed259e

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
@@ -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": "bc6b1314d94ac7fc9d09d6a43b8d9da44d426d87",
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": 2499.149824,
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": 2.918322389999844,
118
- "mean": 0.5836644779999688,
119
- "stdev": 0.04683059927472358,
120
- "p50": 0.558917608999991,
121
- "p90": 0.634422008999968,
122
- "p95": 0.6555319309999731,
123
- "p99": 0.6724198685999773,
124
  "values": [
125
- 0.6766418529999783,
126
- 0.5566547009999567,
127
- 0.5710922429999528,
128
- 0.5550159839999651,
129
- 0.558917608999991
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
- "value": 17.133131065756814
135
  },
136
  "energy": null,
137
  "efficiency": null
@@ -139,7 +139,7 @@
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
- "max_ram": 2499.149824,
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": 1.233296553999935,
152
- "mean": 0.6166482769999675,
153
- "stdev": 0.05999357600001076,
154
- "p50": 0.6166482769999675,
155
- "p90": 0.6646431377999761,
156
- "p95": 0.6706424953999772,
157
- "p99": 0.675441981479978,
158
  "values": [
159
- 0.6766418529999783,
160
- 0.5566547009999567
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
- "value": 6.486679926294857
166
  },
167
  "energy": null,
168
  "efficiency": null
@@ -170,7 +170,7 @@
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
- "max_ram": 2499.149824,
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": 1.6850258359999088,
183
- "mean": 0.5616752786666362,
184
- "stdev": 0.006846657693182503,
185
- "p50": 0.558917608999991,
186
- "p90": 0.5686573161999604,
187
- "p95": 0.5698747795999566,
188
- "p99": 0.5708487503199535,
189
  "values": [
190
- 0.5710922429999528,
191
- 0.5550159839999651,
192
- 0.558917608999991
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
- "value": 10.682328790121279
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": "e63c9f6af72ed86117fe19cb88878881a7f36e3f",
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": 2489.696256,
109
  "max_global_vram": null,
110
  "max_process_vram": null,
111
  "max_reserved": null,
 
114
  "latency": {
115
  "unit": "s",
116
  "count": 5,
117
+ "total": 2.8740171209999517,
118
+ "mean": 0.5748034241999903,
119
+ "stdev": 0.0506604233592159,
120
+ "p50": 0.5492598420000263,
121
+ "p90": 0.6261782709999693,
122
+ "p95": 0.6511414679999689,
123
+ "p99": 0.6711120255999685,
124
  "values": [
125
+ 0.6761046649999685,
126
+ 0.5492598420000263,
127
+ 0.5482505459999629,
128
+ 0.5512886799999706,
129
+ 0.5491133880000234
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
+ "value": 17.39725196299582
135
  },
136
  "energy": null,
137
  "efficiency": null
 
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
+ "max_ram": 2489.696256,
143
  "max_global_vram": null,
144
  "max_process_vram": null,
145
  "max_reserved": null,
 
148
  "latency": {
149
  "unit": "s",
150
  "count": 2,
151
+ "total": 1.2253645069999948,
152
+ "mean": 0.6126822534999974,
153
+ "stdev": 0.06342241149997108,
154
+ "p50": 0.6126822534999974,
155
+ "p90": 0.6634201826999743,
156
+ "p95": 0.6697624238499713,
157
+ "p99": 0.6748362167699691,
158
  "values": [
159
+ 0.6761046649999685,
160
+ 0.5492598420000263
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
+ "value": 6.5286695952913165
166
  },
167
  "energy": null,
168
  "efficiency": null
 
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
+ "max_ram": 2489.696256,
174
  "max_global_vram": null,
175
  "max_process_vram": null,
176
  "max_reserved": null,
 
179
  "latency": {
180
  "unit": "s",
181
  "count": 3,
182
+ "total": 1.6486526139999569,
183
+ "mean": 0.5495508713333189,
184
+ "stdev": 0.0012783083354402762,
185
+ "p50": 0.5491133880000234,
186
+ "p90": 0.5508536215999811,
187
+ "p95": 0.5510711507999758,
188
+ "p99": 0.5512451741599717,
189
  "values": [
190
+ 0.5482505459999629,
191
+ 0.5512886799999706,
192
+ 0.5491133880000234
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
+ "value": 10.918006526753047
198
  },
199
  "energy": null,
200
  "efficiency": null