IlyasMoutawwakil HF staff commited on
Commit
820a532
1 Parent(s): 16811b9

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
@@ -51,6 +51,7 @@
51
  "per_device_train_batch_size": 2,
52
  "gradient_accumulation_steps": 1,
53
  "output_dir": "./trainer_output",
 
54
  "do_train": true,
55
  "use_cpu": false,
56
  "max_steps": 5,
@@ -76,14 +77,14 @@
76
  "environment": {
77
  "cpu": " AMD EPYC 7763 64-Core Processor",
78
  "cpu_count": 4,
79
- "cpu_ram_mb": 16757.342208,
80
  "system": "Linux",
81
  "machine": "x86_64",
82
  "platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35",
83
  "processor": "x86_64",
84
  "python_version": "3.10.14",
85
  "optimum_benchmark_version": "0.2.1",
86
- "optimum_benchmark_commit": "cc9b50765eac8085269af1a207e20c6a9b260b67",
87
  "transformers_version": "4.42.3",
88
  "transformers_commit": null,
89
  "accelerate_version": "0.31.0",
@@ -102,7 +103,7 @@
102
  "overall": {
103
  "memory": {
104
  "unit": "MB",
105
- "max_ram": 2838.470656,
106
  "max_global_vram": null,
107
  "max_process_vram": null,
108
  "max_reserved": null,
@@ -111,24 +112,24 @@
111
  "latency": {
112
  "unit": "s",
113
  "count": 5,
114
- "total": 3.75863329500001,
115
- "mean": 0.751726659000002,
116
- "stdev": 0.045778260458319495,
117
- "p50": 0.7292233160000023,
118
- "p90": 0.8062228522000112,
119
- "p95": 0.8219880696000189,
120
- "p99": 0.834600243520025,
121
  "values": [
122
- 0.8377532870000266,
123
- 0.7133244409999975,
124
- 0.7292233160000023,
125
- 0.7194050509999954,
126
- 0.758927199999988
127
  ]
128
  },
129
  "throughput": {
130
  "unit": "samples/s",
131
- "value": 13.302707680079726
132
  },
133
  "energy": null,
134
  "efficiency": null
@@ -136,7 +137,7 @@
136
  "warmup": {
137
  "memory": {
138
  "unit": "MB",
139
- "max_ram": 2838.470656,
140
  "max_global_vram": null,
141
  "max_process_vram": null,
142
  "max_reserved": null,
@@ -145,21 +146,21 @@
145
  "latency": {
146
  "unit": "s",
147
  "count": 2,
148
- "total": 1.551077728000024,
149
- "mean": 0.775538864000012,
150
- "stdev": 0.06221442300001456,
151
- "p50": 0.775538864000012,
152
- "p90": 0.8253104024000237,
153
- "p95": 0.8315318447000252,
154
- "p99": 0.8365089985400264,
155
  "values": [
156
- 0.8377532870000266,
157
- 0.7133244409999975
158
  ]
159
  },
160
  "throughput": {
161
  "unit": "samples/s",
162
- "value": 5.157704127642452
163
  },
164
  "energy": null,
165
  "efficiency": null
@@ -167,7 +168,7 @@
167
  "train": {
168
  "memory": {
169
  "unit": "MB",
170
- "max_ram": 2838.470656,
171
  "max_global_vram": null,
172
  "max_process_vram": null,
173
  "max_reserved": null,
@@ -176,22 +177,22 @@
176
  "latency": {
177
  "unit": "s",
178
  "count": 3,
179
- "total": 2.207555566999986,
180
- "mean": 0.7358518556666619,
181
- "stdev": 0.016801849481109,
182
- "p50": 0.7292233160000023,
183
- "p90": 0.7529864231999909,
184
- "p95": 0.7559568115999895,
185
- "p99": 0.7583331223199883,
186
  "values": [
187
- 0.7292233160000023,
188
- 0.7194050509999954,
189
- 0.758927199999988
190
  ]
191
  },
192
  "throughput": {
193
  "unit": "samples/s",
194
- "value": 8.153815137918164
195
  },
196
  "energy": null,
197
  "efficiency": null
 
51
  "per_device_train_batch_size": 2,
52
  "gradient_accumulation_steps": 1,
53
  "output_dir": "./trainer_output",
54
+ "evaluation_strategy": "no",
55
  "do_train": true,
56
  "use_cpu": false,
57
  "max_steps": 5,
 
77
  "environment": {
78
  "cpu": " AMD EPYC 7763 64-Core Processor",
79
  "cpu_count": 4,
80
+ "cpu_ram_mb": 16757.338112,
81
  "system": "Linux",
82
  "machine": "x86_64",
83
  "platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35",
84
  "processor": "x86_64",
85
  "python_version": "3.10.14",
86
  "optimum_benchmark_version": "0.2.1",
87
+ "optimum_benchmark_commit": "43734676b09236e2ae4d7c19f90e8e23d1f2f201",
88
  "transformers_version": "4.42.3",
89
  "transformers_commit": null,
90
  "accelerate_version": "0.31.0",
 
103
  "overall": {
104
  "memory": {
105
  "unit": "MB",
106
+ "max_ram": 2854.780928,
107
  "max_global_vram": null,
108
  "max_process_vram": null,
109
  "max_reserved": null,
 
112
  "latency": {
113
  "unit": "s",
114
  "count": 5,
115
+ "total": 3.727575158000093,
116
+ "mean": 0.7455150316000185,
117
+ "stdev": 0.047591335670242846,
118
+ "p50": 0.7270421549999924,
119
+ "p90": 0.795199366400027,
120
+ "p95": 0.8176562482000236,
121
+ "p99": 0.8356217536400209,
122
  "values": [
123
+ 0.8401131300000202,
124
+ 0.7278287210000371,
125
+ 0.7189667190000364,
126
+ 0.7136244330000068,
127
+ 0.7270421549999924
128
  ]
129
  },
130
  "throughput": {
131
  "unit": "samples/s",
132
+ "value": 13.413545771891519
133
  },
134
  "energy": null,
135
  "efficiency": null
 
137
  "warmup": {
138
  "memory": {
139
  "unit": "MB",
140
+ "max_ram": 2854.780928,
141
  "max_global_vram": null,
142
  "max_process_vram": null,
143
  "max_reserved": null,
 
146
  "latency": {
147
  "unit": "s",
148
  "count": 2,
149
+ "total": 1.5679418510000573,
150
+ "mean": 0.7839709255000287,
151
+ "stdev": 0.05614220449999152,
152
+ "p50": 0.7839709255000287,
153
+ "p90": 0.8288846891000219,
154
+ "p95": 0.834498909550021,
155
+ "p99": 0.8389902859100203,
156
  "values": [
157
+ 0.8401131300000202,
158
+ 0.7278287210000371
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
+ "value": 5.102230031615954
164
  },
165
  "energy": null,
166
  "efficiency": null
 
168
  "train": {
169
  "memory": {
170
  "unit": "MB",
171
+ "max_ram": 2854.780928,
172
  "max_global_vram": null,
173
  "max_process_vram": null,
174
  "max_reserved": null,
 
177
  "latency": {
178
  "unit": "s",
179
  "count": 3,
180
+ "total": 2.1596333070000355,
181
+ "mean": 0.7198777690000119,
182
+ "stdev": 0.0055155129706471705,
183
+ "p50": 0.7189667190000364,
184
+ "p90": 0.7254270678000012,
185
+ "p95": 0.7262346113999968,
186
+ "p99": 0.7268806462799933,
187
  "values": [
188
+ 0.7189667190000364,
189
+ 0.7136244330000068,
190
+ 0.7270421549999924
191
  ]
192
  },
193
  "throughput": {
194
  "unit": "samples/s",
195
+ "value": 8.33474828419087
196
  },
197
  "energy": null,
198
  "efficiency": null