IlyasMoutawwakil HF staff commited on
Commit
205c8cf
·
verified ·
1 Parent(s): 87753c5

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
@@ -3,7 +3,7 @@
3
  "name": "cuda_training_transformers_image-classification_google/vit-base-patch16-224",
4
  "backend": {
5
  "name": "pytorch",
6
- "version": "2.4.1+cu124",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "image-classification",
9
  "library": "transformers",
@@ -79,10 +79,10 @@
79
  "environment": {
80
  "cpu": " AMD EPYC 7R32",
81
  "cpu_count": 16,
82
- "cpu_ram_mb": 66697.261056,
83
  "system": "Linux",
84
  "machine": "x86_64",
85
- "platform": "Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35",
86
  "processor": "x86_64",
87
  "python_version": "3.10.12",
88
  "gpu": [
@@ -92,15 +92,15 @@
92
  "gpu_vram_mb": 24146608128,
93
  "optimum_benchmark_version": "0.5.0.dev0",
94
  "optimum_benchmark_commit": null,
95
- "transformers_version": "4.45.2",
96
  "transformers_commit": null,
97
- "accelerate_version": "1.0.1",
98
  "accelerate_commit": null,
99
- "diffusers_version": "0.30.3",
100
  "diffusers_commit": null,
101
  "optimum_version": null,
102
  "optimum_commit": null,
103
- "timm_version": "1.0.9",
104
  "timm_commit": null,
105
  "peft_version": "0.13.2",
106
  "peft_commit": null
@@ -112,7 +112,7 @@
112
  "overall": {
113
  "memory": {
114
  "unit": "MB",
115
- "max_ram": 1631.678464,
116
  "max_global_vram": 2618.81856,
117
  "max_process_vram": 0.0,
118
  "max_reserved": 1956.642816,
@@ -121,42 +121,42 @@
121
  "latency": {
122
  "unit": "s",
123
  "values": [
124
- 0.3338004455566406,
125
- 0.04012441635131836,
126
- 0.039790592193603515,
127
- 0.03977519989013672,
128
- 0.039820289611816405
129
  ],
130
  "count": 5,
131
- "total": 0.49331094360351563,
132
- "mean": 0.09866218872070312,
133
- "p50": 0.039820289611816405,
134
- "p90": 0.21633003387451175,
135
- "p95": 0.2750652397155761,
136
- "p99": 0.3220534043884277,
137
- "stdev": 0.11756919838438508,
138
- "stdev_": 119.1633795163461
139
  },
140
  "throughput": {
141
  "unit": "samples/s",
142
- "value": 101.3559513493908
143
  },
144
  "energy": {
145
  "unit": "kWh",
146
- "cpu": 1.1456950427083257e-05,
147
- "ram": 6.241313718108779e-06,
148
- "gpu": 2.3570574411999404e-05,
149
- "total": 4.126883855719144e-05
150
  },
151
  "efficiency": {
152
  "unit": "samples/kWh",
153
- "value": 242313.5796792957
154
  }
155
  },
156
  "warmup": {
157
  "memory": {
158
  "unit": "MB",
159
- "max_ram": 1631.678464,
160
  "max_global_vram": 2618.81856,
161
  "max_process_vram": 0.0,
162
  "max_reserved": 1956.642816,
@@ -165,22 +165,22 @@
165
  "latency": {
166
  "unit": "s",
167
  "values": [
168
- 0.3338004455566406,
169
- 0.04012441635131836
170
  ],
171
  "count": 2,
172
- "total": 0.373924861907959,
173
- "mean": 0.1869624309539795,
174
- "p50": 0.1869624309539795,
175
- "p90": 0.3044328426361084,
176
- "p95": 0.3191166440963745,
177
- "p99": 0.3308636852645874,
178
- "stdev": 0.14683801460266113,
179
- "stdev_": 78.53878121578612
180
  },
181
  "throughput": {
182
  "unit": "samples/s",
183
- "value": 21.39467260662969
184
  },
185
  "energy": null,
186
  "efficiency": null
@@ -188,7 +188,7 @@
188
  "train": {
189
  "memory": {
190
  "unit": "MB",
191
- "max_ram": 1631.678464,
192
  "max_global_vram": 2618.81856,
193
  "max_process_vram": 0.0,
194
  "max_reserved": 1956.642816,
@@ -197,23 +197,23 @@
197
  "latency": {
198
  "unit": "s",
199
  "values": [
200
- 0.039790592193603515,
201
- 0.03977519989013672,
202
- 0.039820289611816405
203
  ],
204
  "count": 3,
205
- "total": 0.11938608169555665,
206
- "mean": 0.039795360565185546,
207
- "p50": 0.039790592193603515,
208
- "p90": 0.039814350128173824,
209
- "p95": 0.039817319869995114,
210
- "p99": 0.03981969566345215,
211
- "stdev": 1.8714054895472507e-05,
212
- "stdev_": 0.04702572015855601
213
  },
214
  "throughput": {
215
  "unit": "samples/s",
216
- "value": 150.77134406589653
217
  },
218
  "energy": null,
219
  "efficiency": null
 
3
  "name": "cuda_training_transformers_image-classification_google/vit-base-patch16-224",
4
  "backend": {
5
  "name": "pytorch",
6
+ "version": "2.5.1+cu124",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "image-classification",
9
  "library": "transformers",
 
79
  "environment": {
80
  "cpu": " AMD EPYC 7R32",
81
  "cpu_count": 16,
82
+ "cpu_ram_mb": 66697.248768,
83
  "system": "Linux",
84
  "machine": "x86_64",
85
+ "platform": "Linux-5.10.227-219.884.amzn2.x86_64-x86_64-with-glibc2.35",
86
  "processor": "x86_64",
87
  "python_version": "3.10.12",
88
  "gpu": [
 
92
  "gpu_vram_mb": 24146608128,
93
  "optimum_benchmark_version": "0.5.0.dev0",
94
  "optimum_benchmark_commit": null,
95
+ "transformers_version": "4.46.3",
96
  "transformers_commit": null,
97
+ "accelerate_version": "1.1.1",
98
  "accelerate_commit": null,
99
+ "diffusers_version": "0.31.0",
100
  "diffusers_commit": null,
101
  "optimum_version": null,
102
  "optimum_commit": null,
103
+ "timm_version": "1.0.11",
104
  "timm_commit": null,
105
  "peft_version": "0.13.2",
106
  "peft_commit": null
 
112
  "overall": {
113
  "memory": {
114
  "unit": "MB",
115
+ "max_ram": 1729.032192,
116
  "max_global_vram": 2618.81856,
117
  "max_process_vram": 0.0,
118
  "max_reserved": 1956.642816,
 
121
  "latency": {
122
  "unit": "s",
123
  "values": [
124
+ 0.33363262939453125,
125
+ 0.04060774230957031,
126
+ 0.04029017639160156,
127
+ 0.03999337768554687,
128
+ 0.03973427200317383
129
  ],
130
  "count": 5,
131
+ "total": 0.4942581977844238,
132
+ "mean": 0.09885163955688477,
133
+ "p50": 0.04029017639160156,
134
+ "p90": 0.21642267456054692,
135
+ "p95": 0.27502765197753903,
136
+ "p99": 0.3219116339111328,
137
+ "stdev": 0.11739085812852307,
138
+ "stdev_": 118.75458885127526
139
  },
140
  "throughput": {
141
  "unit": "samples/s",
142
+ "value": 101.16170095737705
143
  },
144
  "energy": {
145
  "unit": "kWh",
146
+ "cpu": 9.976675155555153e-06,
147
+ "ram": 5.4126004284134765e-06,
148
+ "gpu": 2.172585071399946e-05,
149
+ "total": 3.711512629796809e-05
150
  },
151
  "efficiency": {
152
  "unit": "samples/kWh",
153
+ "value": 269431.927018593
154
  }
155
  },
156
  "warmup": {
157
  "memory": {
158
  "unit": "MB",
159
+ "max_ram": 1729.032192,
160
  "max_global_vram": 2618.81856,
161
  "max_process_vram": 0.0,
162
  "max_reserved": 1956.642816,
 
165
  "latency": {
166
  "unit": "s",
167
  "values": [
168
+ 0.33363262939453125,
169
+ 0.04060774230957031
170
  ],
171
  "count": 2,
172
+ "total": 0.37424037170410157,
173
+ "mean": 0.18712018585205079,
174
+ "p50": 0.18712018585205079,
175
+ "p90": 0.30433014068603514,
176
+ "p95": 0.31898138504028317,
177
+ "p99": 0.3307023805236816,
178
+ "stdev": 0.14651244354248047,
179
+ "stdev_": 78.29857739577204
180
  },
181
  "throughput": {
182
  "unit": "samples/s",
183
+ "value": 21.37663545910892
184
  },
185
  "energy": null,
186
  "efficiency": null
 
188
  "train": {
189
  "memory": {
190
  "unit": "MB",
191
+ "max_ram": 1729.032192,
192
  "max_global_vram": 2618.81856,
193
  "max_process_vram": 0.0,
194
  "max_reserved": 1956.642816,
 
197
  "latency": {
198
  "unit": "s",
199
  "values": [
200
+ 0.04029017639160156,
201
+ 0.03999337768554687,
202
+ 0.03973427200317383
203
  ],
204
  "count": 3,
205
+ "total": 0.12001782608032227,
206
+ "mean": 0.04000594202677409,
207
+ "p50": 0.03999337768554687,
208
+ "p90": 0.040230816650390626,
209
+ "p95": 0.04026049652099609,
210
+ "p99": 0.040284240417480466,
211
+ "stdev": 0.00022712084781918436,
212
+ "stdev_": 0.5677177846910418
213
  },
214
  "throughput": {
215
  "unit": "samples/s",
216
+ "value": 149.97772070920072
217
  },
218
  "energy": null,
219
  "efficiency": null