IlyasMoutawwakil HF staff commited on
Commit
7d31d8e
·
verified ·
1 Parent(s): ac3e782

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

Browse files
cuda_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json CHANGED
@@ -86,7 +86,7 @@
86
  "gpu_count": 1,
87
  "gpu_vram_mb": 68702699520,
88
  "optimum_benchmark_version": "0.2.0",
89
- "optimum_benchmark_commit": "6fd377459e287bb09e9383ba2516b1b2a271a562",
90
  "transformers_version": "4.40.2",
91
  "transformers_commit": null,
92
  "accelerate_version": "0.30.1",
@@ -95,7 +95,7 @@
95
  "diffusers_commit": null,
96
  "optimum_version": null,
97
  "optimum_commit": null,
98
- "timm_version": "0.9.16",
99
  "timm_commit": null,
100
  "peft_version": null,
101
  "peft_commit": null
@@ -105,33 +105,33 @@
105
  "overall": {
106
  "memory": {
107
  "unit": "MB",
108
- "max_ram": 2191.450112,
109
- "max_global_vram": 2427.363328,
110
- "max_process_vram": 482745.872384,
111
  "max_reserved": 1935.671296,
112
  "max_allocated": 1738.014208
113
  },
114
  "latency": {
115
  "unit": "s",
116
  "count": 5,
117
- "total": 2.916280979156494,
118
- "mean": 0.5832561958312988,
119
- "stdev": 1.0875801034170722,
120
- "p50": 0.03969607925415039,
121
- "p90": 1.671197608947754,
122
- "p95": 2.214806812286376,
123
- "p99": 2.649694174957275,
124
  "values": [
125
- 2.758416015625,
126
- 0.03969607925415039,
127
- 0.038355125427246096,
128
- 0.03944375991821289,
129
- 0.04036999893188477
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
- "value": 17.145124340680646
135
  },
136
  "energy": null,
137
  "efficiency": null
@@ -139,30 +139,30 @@
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
- "max_ram": 2191.450112,
143
- "max_global_vram": 2427.363328,
144
- "max_process_vram": 482745.872384,
145
  "max_reserved": 1935.671296,
146
  "max_allocated": 1738.014208
147
  },
148
  "latency": {
149
  "unit": "s",
150
  "count": 2,
151
- "total": 2.7981120948791505,
152
- "mean": 1.3990560474395752,
153
- "stdev": 1.359359968185425,
154
- "p50": 1.3990560474395752,
155
- "p90": 2.486544021987915,
156
- "p95": 2.622480018806457,
157
- "p99": 2.731228816261291,
158
  "values": [
159
- 2.758416015625,
160
- 0.03969607925415039
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
- "value": 2.859070590717531
166
  },
167
  "energy": null,
168
  "efficiency": null
@@ -170,31 +170,31 @@
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
- "max_ram": 2191.450112,
174
- "max_global_vram": 2427.363328,
175
- "max_process_vram": 482745.872384,
176
  "max_reserved": 1935.671296,
177
  "max_allocated": 1738.014208
178
  },
179
  "latency": {
180
  "unit": "s",
181
  "count": 3,
182
- "total": 0.11816888427734375,
183
- "mean": 0.03938962809244791,
184
- "stdev": 0.0008234587627174448,
185
- "p50": 0.03944375991821289,
186
- "p90": 0.04018475112915039,
187
- "p95": 0.04027737503051758,
188
- "p99": 0.04035147415161133,
189
  "values": [
190
- 0.038355125427246096,
191
- 0.03944375991821289,
192
- 0.04036999893188477
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
- "value": 152.32436279717925
198
  },
199
  "energy": null,
200
  "efficiency": null
 
86
  "gpu_count": 1,
87
  "gpu_vram_mb": 68702699520,
88
  "optimum_benchmark_version": "0.2.0",
89
+ "optimum_benchmark_commit": "6422f8f56820540ec4876445962a50a44754b92e",
90
  "transformers_version": "4.40.2",
91
  "transformers_commit": null,
92
  "accelerate_version": "0.30.1",
 
95
  "diffusers_commit": null,
96
  "optimum_version": null,
97
  "optimum_commit": null,
98
+ "timm_version": "1.0.3",
99
  "timm_commit": null,
100
  "peft_version": null,
101
  "peft_commit": null
 
105
  "overall": {
106
  "memory": {
107
  "unit": "MB",
108
+ "max_ram": 2190.843904,
109
+ "max_global_vram": 2427.346944,
110
+ "max_process_vram": 525252.44416,
111
  "max_reserved": 1935.671296,
112
  "max_allocated": 1738.014208
113
  },
114
  "latency": {
115
  "unit": "s",
116
  "count": 5,
117
+ "total": 3.2950108489990235,
118
+ "mean": 0.6590021697998047,
119
+ "stdev": 1.2376343356708968,
120
+ "p50": 0.040742881774902345,
121
+ "p90": 1.8969717773437502,
122
+ "p95": 2.5156211425781243,
123
+ "p99": 3.0105406347656247,
124
  "values": [
125
+ 3.1342705078125,
126
+ 0.03967840957641602,
127
+ 0.03929536819458008,
128
+ 0.041023681640625,
129
+ 0.040742881774902345
130
  ]
131
  },
132
  "throughput": {
133
  "unit": "samples/s",
134
+ "value": 15.174456865654713
135
  },
136
  "energy": null,
137
  "efficiency": null
 
139
  "warmup": {
140
  "memory": {
141
  "unit": "MB",
142
+ "max_ram": 2190.843904,
143
+ "max_global_vram": 2427.346944,
144
+ "max_process_vram": 525252.44416,
145
  "max_reserved": 1935.671296,
146
  "max_allocated": 1738.014208
147
  },
148
  "latency": {
149
  "unit": "s",
150
  "count": 2,
151
+ "total": 3.173948917388916,
152
+ "mean": 1.586974458694458,
153
+ "stdev": 1.547296049118042,
154
+ "p50": 1.586974458694458,
155
+ "p90": 2.8248112979888917,
156
+ "p95": 2.9795409029006956,
157
+ "p99": 3.103324586830139,
158
  "values": [
159
+ 3.1342705078125,
160
+ 0.03967840957641602
161
  ]
162
  },
163
  "throughput": {
164
  "unit": "samples/s",
165
+ "value": 2.5205194564319857
166
  },
167
  "energy": null,
168
  "efficiency": null
 
170
  "train": {
171
  "memory": {
172
  "unit": "MB",
173
+ "max_ram": 2190.843904,
174
+ "max_global_vram": 2427.346944,
175
+ "max_process_vram": 525252.44416,
176
  "max_reserved": 1935.671296,
177
  "max_allocated": 1738.014208
178
  },
179
  "latency": {
180
  "unit": "s",
181
  "count": 3,
182
+ "total": 0.12106193161010742,
183
+ "mean": 0.04035397720336914,
184
+ "stdev": 0.0007572766629022204,
185
+ "p50": 0.040742881774902345,
186
+ "p90": 0.040967521667480467,
187
+ "p95": 0.04099560165405273,
188
+ "p99": 0.04101806564331054,
189
  "values": [
190
+ 0.03929536819458008,
191
+ 0.041023681640625,
192
+ 0.040742881774902345
193
  ]
194
  },
195
  "throughput": {
196
  "unit": "samples/s",
197
+ "value": 148.68422930811047
198
  },
199
  "energy": null,
200
  "efficiency": null