Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
Browse files
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json
CHANGED
|
@@ -3,7 +3,7 @@
|
|
| 3 |
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
|
| 4 |
"backend": {
|
| 5 |
"name": "pytorch",
|
| 6 |
-
"version": "2.3.
|
| 7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
| 8 |
"task": "token-classification",
|
| 9 |
"library": "transformers",
|
|
@@ -73,10 +73,10 @@
|
|
| 73 |
"environment": {
|
| 74 |
"cpu": " AMD EPYC 7R32",
|
| 75 |
"cpu_count": 16,
|
| 76 |
-
"cpu_ram_mb": 66697.
|
| 77 |
"system": "Linux",
|
| 78 |
"machine": "x86_64",
|
| 79 |
-
"platform": "Linux-5.10.
|
| 80 |
"processor": "x86_64",
|
| 81 |
"python_version": "3.10.12",
|
| 82 |
"gpu": [
|
|
@@ -86,15 +86,15 @@
|
|
| 86 |
"gpu_vram_mb": 24146608128,
|
| 87 |
"optimum_benchmark_version": "0.2.1",
|
| 88 |
"optimum_benchmark_commit": null,
|
| 89 |
-
"transformers_version": "4.
|
| 90 |
"transformers_commit": null,
|
| 91 |
-
"accelerate_version": "0.
|
| 92 |
"accelerate_commit": null,
|
| 93 |
-
"diffusers_version": "0.
|
| 94 |
"diffusers_commit": null,
|
| 95 |
"optimum_version": null,
|
| 96 |
"optimum_commit": null,
|
| 97 |
-
"timm_version": "1.0.
|
| 98 |
"timm_commit": null,
|
| 99 |
"peft_version": null,
|
| 100 |
"peft_commit": null
|
|
@@ -104,7 +104,7 @@
|
|
| 104 |
"forward": {
|
| 105 |
"memory": {
|
| 106 |
"unit": "MB",
|
| 107 |
-
"max_ram":
|
| 108 |
"max_global_vram": 1434.976256,
|
| 109 |
"max_process_vram": 0.0,
|
| 110 |
"max_reserved": 794.820608,
|
|
@@ -112,101 +112,96 @@
|
|
| 112 |
},
|
| 113 |
"latency": {
|
| 114 |
"unit": "s",
|
| 115 |
-
"count":
|
| 116 |
-
"total":
|
| 117 |
-
"mean": 0.
|
| 118 |
-
"stdev": 0.
|
| 119 |
-
"p50": 0.
|
| 120 |
-
"p90": 0.
|
| 121 |
-
"p95": 0.
|
| 122 |
-
"p99": 0.
|
| 123 |
"values": [
|
| 124 |
-
0.
|
| 125 |
-
0.
|
| 126 |
-
0.
|
| 127 |
-
0.
|
| 128 |
-
0.
|
| 129 |
-
0.
|
| 130 |
-
0.
|
| 131 |
-
0.
|
| 132 |
-
0.
|
| 133 |
-
0.
|
| 134 |
-
0.
|
| 135 |
-
0.
|
| 136 |
-
0.
|
| 137 |
-
0.
|
| 138 |
-
0.
|
| 139 |
-
0.
|
| 140 |
-
0.
|
| 141 |
-
0.
|
| 142 |
-
0.
|
| 143 |
-
0.
|
| 144 |
-
0.
|
| 145 |
-
0.
|
| 146 |
-
0.
|
| 147 |
-
0.
|
| 148 |
-
0.
|
| 149 |
-
0.
|
| 150 |
-
0.
|
| 151 |
-
0.
|
| 152 |
-
0.
|
| 153 |
-
0.
|
| 154 |
-
0.
|
| 155 |
-
0.
|
| 156 |
-
0.
|
| 157 |
-
0.
|
| 158 |
-
0.
|
| 159 |
-
0.
|
| 160 |
-
0.
|
| 161 |
-
0.
|
| 162 |
-
0.
|
| 163 |
-
0.
|
| 164 |
-
0.
|
| 165 |
-
0.
|
| 166 |
-
0.
|
| 167 |
-
0.
|
| 168 |
-
0.
|
| 169 |
-
0.
|
| 170 |
-
0.
|
| 171 |
-
0.
|
| 172 |
-
0.
|
| 173 |
-
0.
|
| 174 |
-
0.
|
| 175 |
-
0.
|
| 176 |
-
0.
|
| 177 |
-
0.
|
| 178 |
-
0.
|
| 179 |
-
0.
|
| 180 |
-
0.
|
| 181 |
-
0.
|
| 182 |
-
0.
|
| 183 |
-
0.
|
| 184 |
-
0.
|
| 185 |
-
0.
|
| 186 |
-
0.
|
| 187 |
-
0.
|
| 188 |
-
0.
|
| 189 |
-
0.014032896041870118,
|
| 190 |
-
0.014019552230834962,
|
| 191 |
-
0.013891551971435547,
|
| 192 |
-
0.013945856094360352,
|
| 193 |
-
0.013721599578857421
|
| 194 |
]
|
| 195 |
},
|
| 196 |
"throughput": {
|
| 197 |
"unit": "samples/s",
|
| 198 |
-
"value":
|
| 199 |
},
|
| 200 |
"energy": {
|
| 201 |
"unit": "kWh",
|
| 202 |
-
"cpu": 1.
|
| 203 |
-
"ram": 9.
|
| 204 |
-
"gpu": 3.
|
| 205 |
-
"total": 6.
|
| 206 |
},
|
| 207 |
"efficiency": {
|
| 208 |
"unit": "samples/kWh",
|
| 209 |
-
"value":
|
| 210 |
}
|
| 211 |
}
|
| 212 |
}
|
|
|
|
| 3 |
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
|
| 4 |
"backend": {
|
| 5 |
"name": "pytorch",
|
| 6 |
+
"version": "2.3.1+cu121",
|
| 7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
| 8 |
"task": "token-classification",
|
| 9 |
"library": "transformers",
|
|
|
|
| 73 |
"environment": {
|
| 74 |
"cpu": " AMD EPYC 7R32",
|
| 75 |
"cpu_count": 16,
|
| 76 |
+
"cpu_ram_mb": 66697.293824,
|
| 77 |
"system": "Linux",
|
| 78 |
"machine": "x86_64",
|
| 79 |
+
"platform": "Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35",
|
| 80 |
"processor": "x86_64",
|
| 81 |
"python_version": "3.10.12",
|
| 82 |
"gpu": [
|
|
|
|
| 86 |
"gpu_vram_mb": 24146608128,
|
| 87 |
"optimum_benchmark_version": "0.2.1",
|
| 88 |
"optimum_benchmark_commit": null,
|
| 89 |
+
"transformers_version": "4.42.3",
|
| 90 |
"transformers_commit": null,
|
| 91 |
+
"accelerate_version": "0.31.0",
|
| 92 |
"accelerate_commit": null,
|
| 93 |
+
"diffusers_version": "0.29.2",
|
| 94 |
"diffusers_commit": null,
|
| 95 |
"optimum_version": null,
|
| 96 |
"optimum_commit": null,
|
| 97 |
+
"timm_version": "1.0.7",
|
| 98 |
"timm_commit": null,
|
| 99 |
"peft_version": null,
|
| 100 |
"peft_commit": null
|
|
|
|
| 104 |
"forward": {
|
| 105 |
"memory": {
|
| 106 |
"unit": "MB",
|
| 107 |
+
"max_ram": 977.256448,
|
| 108 |
"max_global_vram": 1434.976256,
|
| 109 |
"max_process_vram": 0.0,
|
| 110 |
"max_reserved": 794.820608,
|
|
|
|
| 112 |
},
|
| 113 |
"latency": {
|
| 114 |
"unit": "s",
|
| 115 |
+
"count": 65,
|
| 116 |
+
"total": 1.0044332170486452,
|
| 117 |
+
"mean": 0.015452818723825307,
|
| 118 |
+
"stdev": 0.0007642533752018016,
|
| 119 |
+
"p50": 0.015349760055541992,
|
| 120 |
+
"p90": 0.016288562774658205,
|
| 121 |
+
"p95": 0.01763369026184082,
|
| 122 |
+
"p99": 0.017970863952636716,
|
| 123 |
"values": [
|
| 124 |
+
0.01781046485900879,
|
| 125 |
+
0.018110496520996094,
|
| 126 |
+
0.01770086479187012,
|
| 127 |
+
0.017364992141723632,
|
| 128 |
+
0.016763904571533202,
|
| 129 |
+
0.016719871520996094,
|
| 130 |
+
0.01789232063293457,
|
| 131 |
+
0.015351807594299317,
|
| 132 |
+
0.015024095535278321,
|
| 133 |
+
0.015004672050476075,
|
| 134 |
+
0.01511526393890381,
|
| 135 |
+
0.015474687576293946,
|
| 136 |
+
0.01537331199645996,
|
| 137 |
+
0.015544320106506348,
|
| 138 |
+
0.015452159881591796,
|
| 139 |
+
0.015465472221374512,
|
| 140 |
+
0.015250432014465331,
|
| 141 |
+
0.01540403175354004,
|
| 142 |
+
0.015377375602722168,
|
| 143 |
+
0.015441920280456543,
|
| 144 |
+
0.01530777645111084,
|
| 145 |
+
0.015435775756835938,
|
| 146 |
+
0.015333312034606934,
|
| 147 |
+
0.015204352378845215,
|
| 148 |
+
0.014945280075073243,
|
| 149 |
+
0.01515724754333496,
|
| 150 |
+
0.015400959968566894,
|
| 151 |
+
0.015436800003051757,
|
| 152 |
+
0.015401984214782715,
|
| 153 |
+
0.015382528305053711,
|
| 154 |
+
0.014900223731994629,
|
| 155 |
+
0.015164416313171386,
|
| 156 |
+
0.015436800003051757,
|
| 157 |
+
0.015388671875,
|
| 158 |
+
0.01528217601776123,
|
| 159 |
+
0.015460351943969726,
|
| 160 |
+
0.015594495773315429,
|
| 161 |
+
0.015616959571838378,
|
| 162 |
+
0.015641599655151366,
|
| 163 |
+
0.015457280158996582,
|
| 164 |
+
0.015399935722351075,
|
| 165 |
+
0.015349760055541992,
|
| 166 |
+
0.015331328392028809,
|
| 167 |
+
0.014877696037292481,
|
| 168 |
+
0.014851072311401366,
|
| 169 |
+
0.014823424339294433,
|
| 170 |
+
0.014947327613830566,
|
| 171 |
+
0.014838784217834473,
|
| 172 |
+
0.014845952033996582,
|
| 173 |
+
0.014880800247192382,
|
| 174 |
+
0.014888959884643555,
|
| 175 |
+
0.014849023818969726,
|
| 176 |
+
0.01482748794555664,
|
| 177 |
+
0.014846976280212403,
|
| 178 |
+
0.015353856086730957,
|
| 179 |
+
0.015330304145812988,
|
| 180 |
+
0.015349760055541992,
|
| 181 |
+
0.015362015724182129,
|
| 182 |
+
0.015359999656677246,
|
| 183 |
+
0.015316991806030274,
|
| 184 |
+
0.014829567909240723,
|
| 185 |
+
0.01488486385345459,
|
| 186 |
+
0.014820351600646972,
|
| 187 |
+
0.014798848152160645,
|
| 188 |
+
0.01487667179107666
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 189 |
]
|
| 190 |
},
|
| 191 |
"throughput": {
|
| 192 |
"unit": "samples/s",
|
| 193 |
+
"value": 64.7131127253949
|
| 194 |
},
|
| 195 |
"energy": {
|
| 196 |
"unit": "kWh",
|
| 197 |
+
"cpu": 1.7945690688862144e-07,
|
| 198 |
+
"ram": 9.81142168484769e-08,
|
| 199 |
+
"gpu": 3.6537908018182103e-07,
|
| 200 |
+
"total": 6.429502039189194e-07
|
| 201 |
},
|
| 202 |
"efficiency": {
|
| 203 |
"unit": "samples/kWh",
|
| 204 |
+
"value": 1555330.4033575004
|
| 205 |
}
|
| 206 |
}
|
| 207 |
}
|