IlyasMoutawwakil HF staff commited on
Commit
6f9d0d1
·
verified ·
1 Parent(s): 7f871c6

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": "2.3.0+cu121",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "image-classification",
9
  "library": "transformers",
@@ -76,10 +76,10 @@
76
  "environment": {
77
  "cpu": " AMD EPYC 7R32",
78
  "cpu_count": 16,
79
- "cpu_ram_mb": 66697.29792,
80
  "system": "Linux",
81
  "machine": "x86_64",
82
- "platform": "Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35",
83
  "processor": "x86_64",
84
  "python_version": "3.10.12",
85
  "gpu": [
@@ -89,15 +89,15 @@
89
  "gpu_vram_mb": 24146608128,
90
  "optimum_benchmark_version": "0.2.1",
91
  "optimum_benchmark_commit": null,
92
- "transformers_version": "4.41.1",
93
  "transformers_commit": null,
94
- "accelerate_version": "0.30.1",
95
  "accelerate_commit": null,
96
- "diffusers_version": "0.27.2",
97
  "diffusers_commit": null,
98
  "optimum_version": null,
99
  "optimum_commit": null,
100
- "timm_version": "1.0.3",
101
  "timm_commit": null,
102
  "peft_version": null,
103
  "peft_commit": null
@@ -107,7 +107,7 @@
107
  "overall": {
108
  "memory": {
109
  "unit": "MB",
110
- "max_ram": 1461.39136,
111
  "max_global_vram": 2628.255744,
112
  "max_process_vram": 0.0,
113
  "max_reserved": 1956.642816,
@@ -116,24 +116,24 @@
116
  "latency": {
117
  "unit": "s",
118
  "count": 5,
119
- "total": 0.564491268157959,
120
- "mean": 0.11289825363159181,
121
- "stdev": 0.11227861232262278,
122
- "p50": 0.056784896850585936,
123
- "p90": 0.22532137298583987,
124
- "p95": 0.28138824081420893,
125
- "p99": 0.3262417350769043,
126
  "values": [
127
- 0.3374551086425781,
128
- 0.05712076950073242,
129
- 0.056586238861083986,
130
- 0.05654425430297851,
131
- 0.056784896850585936
132
  ]
133
  },
134
  "throughput": {
135
  "unit": "samples/s",
136
- "value": 88.57532936365763
137
  },
138
  "energy": null,
139
  "efficiency": null
@@ -141,7 +141,7 @@
141
  "warmup": {
142
  "memory": {
143
  "unit": "MB",
144
- "max_ram": 1461.39136,
145
  "max_global_vram": 2628.255744,
146
  "max_process_vram": 0.0,
147
  "max_reserved": 1956.642816,
@@ -150,21 +150,21 @@
150
  "latency": {
151
  "unit": "s",
152
  "count": 2,
153
- "total": 0.3945758781433105,
154
- "mean": 0.19728793907165526,
155
- "stdev": 0.14016716957092284,
156
- "p50": 0.19728793907165526,
157
- "p90": 0.30942167472839355,
158
- "p95": 0.3234383916854858,
159
- "p99": 0.33465176525115964,
160
  "values": [
161
- 0.3374551086425781,
162
- 0.05712076950073242
163
  ]
164
  },
165
  "throughput": {
166
  "unit": "samples/s",
167
- "value": 20.27493428550234
168
  },
169
  "energy": null,
170
  "efficiency": null
@@ -172,7 +172,7 @@
172
  "train": {
173
  "memory": {
174
  "unit": "MB",
175
- "max_ram": 1461.39136,
176
  "max_global_vram": 2628.255744,
177
  "max_process_vram": 0.0,
178
  "max_reserved": 1956.642816,
@@ -181,22 +181,22 @@
181
  "latency": {
182
  "unit": "s",
183
  "count": 3,
184
- "total": 0.16991539001464845,
185
- "mean": 0.05663846333821615,
186
- "stdev": 0.00010495318301840867,
187
- "p50": 0.056586238861083986,
188
- "p90": 0.056745165252685546,
189
- "p95": 0.05676503105163574,
190
- "p99": 0.0567809236907959,
191
  "values": [
192
- 0.056586238861083986,
193
- 0.05654425430297851,
194
- 0.056784896850585936
195
  ]
196
  },
197
  "throughput": {
198
  "unit": "samples/s",
199
- "value": 105.93507744323934
200
  },
201
  "energy": null,
202
  "efficiency": null
 
3
  "name": "cuda_training_transformers_image-classification_google/vit-base-patch16-224",
4
  "backend": {
5
  "name": "pytorch",
6
+ "version": "2.3.1+cu121",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "image-classification",
9
  "library": "transformers",
 
76
  "environment": {
77
  "cpu": " AMD EPYC 7R32",
78
  "cpu_count": 16,
79
+ "cpu_ram_mb": 66697.293824,
80
  "system": "Linux",
81
  "machine": "x86_64",
82
+ "platform": "Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35",
83
  "processor": "x86_64",
84
  "python_version": "3.10.12",
85
  "gpu": [
 
89
  "gpu_vram_mb": 24146608128,
90
  "optimum_benchmark_version": "0.2.1",
91
  "optimum_benchmark_commit": null,
92
+ "transformers_version": "4.42.3",
93
  "transformers_commit": null,
94
+ "accelerate_version": "0.31.0",
95
  "accelerate_commit": null,
96
+ "diffusers_version": "0.29.2",
97
  "diffusers_commit": null,
98
  "optimum_version": null,
99
  "optimum_commit": null,
100
+ "timm_version": "1.0.7",
101
  "timm_commit": null,
102
  "peft_version": null,
103
  "peft_commit": null
 
107
  "overall": {
108
  "memory": {
109
  "unit": "MB",
110
+ "max_ram": 1932.070912,
111
  "max_global_vram": 2628.255744,
112
  "max_process_vram": 0.0,
113
  "max_reserved": 1956.642816,
 
116
  "latency": {
117
  "unit": "s",
118
  "count": 5,
119
+ "total": 0.4831303672790527,
120
+ "mean": 0.09662607345581053,
121
+ "stdev": 0.11386574036950312,
122
+ "p50": 0.03966156768798828,
123
+ "p90": 0.21065830230712893,
124
+ "p95": 0.26750770950317376,
125
+ "p99": 0.31298723526000977,
126
  "values": [
127
+ 0.32435711669921874,
128
+ 0.04011008071899414,
129
+ 0.03966156768798828,
130
+ 0.03948953628540039,
131
+ 0.039512065887451174
132
  ]
133
  },
134
  "throughput": {
135
  "unit": "samples/s",
136
+ "value": 103.4917351223347
137
  },
138
  "energy": null,
139
  "efficiency": null
 
141
  "warmup": {
142
  "memory": {
143
  "unit": "MB",
144
+ "max_ram": 1932.070912,
145
  "max_global_vram": 2628.255744,
146
  "max_process_vram": 0.0,
147
  "max_reserved": 1956.642816,
 
150
  "latency": {
151
  "unit": "s",
152
  "count": 2,
153
+ "total": 0.3644671974182129,
154
+ "mean": 0.18223359870910644,
155
+ "stdev": 0.1421235179901123,
156
+ "p50": 0.18223359870910644,
157
+ "p90": 0.2959324131011963,
158
+ "p95": 0.3101447649002075,
159
+ "p99": 0.3215146463394165,
160
  "values": [
161
+ 0.32435711669921874,
162
+ 0.04011008071899414
163
  ]
164
  },
165
  "throughput": {
166
  "unit": "samples/s",
167
+ "value": 21.94984914052578
168
  },
169
  "energy": null,
170
  "efficiency": null
 
172
  "train": {
173
  "memory": {
174
  "unit": "MB",
175
+ "max_ram": 1932.070912,
176
  "max_global_vram": 2628.255744,
177
  "max_process_vram": 0.0,
178
  "max_reserved": 1956.642816,
 
181
  "latency": {
182
  "unit": "s",
183
  "count": 3,
184
+ "total": 0.11866316986083986,
185
+ "mean": 0.03955438995361329,
186
+ "stdev": 7.634219366973044e-05,
187
+ "p50": 0.039512065887451174,
188
+ "p90": 0.03963166732788086,
189
+ "p95": 0.03964661750793457,
190
+ "p99": 0.039658577651977535,
191
  "values": [
192
+ 0.03966156768798828,
193
+ 0.03948953628540039,
194
+ 0.039512065887451174
195
  ]
196
  },
197
  "throughput": {
198
  "unit": "samples/s",
199
+ "value": 151.68986317413552
200
  },
201
  "energy": null,
202
  "efficiency": null