IlyasMoutawwakil HF staff commited on
Commit
76c95c5
1 Parent(s): 5cdfa75

Upload cpu_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub

Browse files
cpu_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json CHANGED
@@ -51,7 +51,8 @@
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,
@@ -84,7 +85,7 @@
84
  "processor": "x86_64",
85
  "python_version": "3.10.14",
86
  "optimum_benchmark_version": "0.2.1",
87
- "optimum_benchmark_commit": "f85421c91b2a2b1bc0a30ceba32f9580499bf023",
88
  "transformers_version": "4.42.3",
89
  "transformers_commit": null,
90
  "accelerate_version": "0.31.0",
@@ -103,7 +104,7 @@
103
  "overall": {
104
  "memory": {
105
  "unit": "MB",
106
- "max_ram": 2463.223808,
107
  "max_global_vram": null,
108
  "max_process_vram": null,
109
  "max_reserved": null,
@@ -112,24 +113,24 @@
112
  "latency": {
113
  "unit": "s",
114
  "count": 5,
115
- "total": 7.854300160999969,
116
- "mean": 1.570860032199994,
117
- "stdev": 0.059186327510422215,
118
- "p50": 1.5430413010000166,
119
- "p90": 1.6331507579999993,
120
- "p95": 1.6608636120000142,
121
- "p99": 1.683033895200026,
122
  "values": [
123
- 1.688576466000029,
124
- 1.5430413010000166,
125
- 1.530612689999998,
126
- 1.5500121959999547,
127
- 1.5420575079999708
128
  ]
129
  },
130
  "throughput": {
131
  "unit": "samples/s",
132
- "value": 6.365939545864549
133
  },
134
  "energy": null,
135
  "efficiency": null
@@ -137,7 +138,7 @@
137
  "warmup": {
138
  "memory": {
139
  "unit": "MB",
140
- "max_ram": 2463.223808,
141
  "max_global_vram": null,
142
  "max_process_vram": null,
143
  "max_reserved": null,
@@ -146,21 +147,21 @@
146
  "latency": {
147
  "unit": "s",
148
  "count": 2,
149
- "total": 3.2316177670000457,
150
- "mean": 1.6158088835000228,
151
- "stdev": 0.07276758250000626,
152
- "p50": 1.6158088835000228,
153
- "p90": 1.6740229495000278,
154
- "p95": 1.6812997077500285,
155
- "p99": 1.6871211143500289,
156
  "values": [
157
- 1.688576466000029,
158
- 1.5430413010000166
159
  ]
160
  },
161
  "throughput": {
162
  "unit": "samples/s",
163
- "value": 2.4755402949237117
164
  },
165
  "energy": null,
166
  "efficiency": null
@@ -168,7 +169,7 @@
168
  "train": {
169
  "memory": {
170
  "unit": "MB",
171
- "max_ram": 2463.223808,
172
  "max_global_vram": null,
173
  "max_process_vram": null,
174
  "max_reserved": null,
@@ -177,22 +178,22 @@
177
  "latency": {
178
  "unit": "s",
179
  "count": 3,
180
- "total": 4.6226823939999235,
181
- "mean": 1.5408941313333078,
182
- "stdev": 0.007962423927925018,
183
- "p50": 1.5420575079999708,
184
- "p90": 1.548421258399958,
185
- "p95": 1.5492167271999562,
186
- "p99": 1.5498531022399549,
187
  "values": [
188
- 1.530612689999998,
189
- 1.5500121959999547,
190
- 1.5420575079999708
191
  ]
192
  },
193
  "throughput": {
194
  "unit": "samples/s",
195
- "value": 3.893843112250878
196
  },
197
  "energy": null,
198
  "efficiency": null
 
51
  "per_device_train_batch_size": 2,
52
  "gradient_accumulation_steps": 1,
53
  "output_dir": "./trainer_output",
54
+ "eval_strategy": "no",
55
+ "save_strategy": "no",
56
  "do_train": true,
57
  "use_cpu": false,
58
  "max_steps": 5,
 
85
  "processor": "x86_64",
86
  "python_version": "3.10.14",
87
  "optimum_benchmark_version": "0.2.1",
88
+ "optimum_benchmark_commit": "9a8b29987613b8b04c221447a49b37ee314548ff",
89
  "transformers_version": "4.42.3",
90
  "transformers_commit": null,
91
  "accelerate_version": "0.31.0",
 
104
  "overall": {
105
  "memory": {
106
  "unit": "MB",
107
+ "max_ram": 2463.039488,
108
  "max_global_vram": null,
109
  "max_process_vram": null,
110
  "max_reserved": null,
 
113
  "latency": {
114
  "unit": "s",
115
  "count": 5,
116
+ "total": 7.666096489000097,
117
+ "mean": 1.5332192978000194,
118
+ "stdev": 0.05567919851089334,
119
+ "p50": 1.504259963000095,
120
+ "p90": 1.591918428200006,
121
+ "p95": 1.6180773356000144,
122
+ "p99": 1.6390044615200212,
123
  "values": [
124
+ 1.644236243000023,
125
+ 1.500220923000029,
126
+ 1.5134417059999805,
127
+ 1.5039376539999694,
128
+ 1.504259963000095
129
  ]
130
  },
131
  "throughput": {
132
  "unit": "samples/s",
133
+ "value": 6.522224194770289
134
  },
135
  "energy": null,
136
  "efficiency": null
 
138
  "warmup": {
139
  "memory": {
140
  "unit": "MB",
141
+ "max_ram": 2463.039488,
142
  "max_global_vram": null,
143
  "max_process_vram": null,
144
  "max_reserved": null,
 
147
  "latency": {
148
  "unit": "s",
149
  "count": 2,
150
+ "total": 3.144457166000052,
151
+ "mean": 1.572228583000026,
152
+ "stdev": 0.07200765999999703,
153
+ "p50": 1.572228583000026,
154
+ "p90": 1.6298347110000235,
155
+ "p95": 1.6370354770000233,
156
+ "p99": 1.6427960898000231,
157
  "values": [
158
+ 1.644236243000023,
159
+ 1.500220923000029
160
  ]
161
  },
162
  "throughput": {
163
  "unit": "samples/s",
164
+ "value": 2.5441593183399935
165
  },
166
  "energy": null,
167
  "efficiency": null
 
169
  "train": {
170
  "memory": {
171
  "unit": "MB",
172
+ "max_ram": 2463.039488,
173
  "max_global_vram": null,
174
  "max_process_vram": null,
175
  "max_reserved": null,
 
178
  "latency": {
179
  "unit": "s",
180
  "count": 3,
181
+ "total": 4.521639323000045,
182
+ "mean": 1.5072131076666817,
183
+ "stdev": 0.0044062492493480735,
184
+ "p50": 1.504259963000095,
185
+ "p90": 1.5116053574000035,
186
+ "p95": 1.5125235316999919,
187
+ "p99": 1.5132580711399828,
188
  "values": [
189
+ 1.5134417059999805,
190
+ 1.5039376539999694,
191
+ 1.504259963000095
192
  ]
193
  },
194
  "throughput": {
195
  "unit": "samples/s",
196
+ "value": 3.98085709942412
197
  },
198
  "energy": null,
199
  "efficiency": null