Upload cpu_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
Browse files
cpu_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json
CHANGED
|
@@ -51,6 +51,7 @@
|
|
| 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,
|
|
@@ -85,7 +86,7 @@
|
|
| 85 |
"processor": "x86_64",
|
| 86 |
"python_version": "3.10.14",
|
| 87 |
"optimum_benchmark_version": "0.2.1",
|
| 88 |
-
"optimum_benchmark_commit": "
|
| 89 |
"transformers_version": "4.42.3",
|
| 90 |
"transformers_commit": null,
|
| 91 |
"accelerate_version": "0.31.0",
|
|
@@ -104,7 +105,7 @@
|
|
| 104 |
"overall": {
|
| 105 |
"memory": {
|
| 106 |
"unit": "MB",
|
| 107 |
-
"max_ram":
|
| 108 |
"max_global_vram": null,
|
| 109 |
"max_process_vram": null,
|
| 110 |
"max_reserved": null,
|
|
@@ -113,24 +114,24 @@
|
|
| 113 |
"latency": {
|
| 114 |
"unit": "s",
|
| 115 |
"count": 5,
|
| 116 |
-
"total": 3.
|
| 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 |
]
|
| 130 |
},
|
| 131 |
"throughput": {
|
| 132 |
"unit": "samples/s",
|
| 133 |
-
"value": 16.
|
| 134 |
},
|
| 135 |
"energy": null,
|
| 136 |
"efficiency": null
|
|
@@ -138,7 +139,7 @@
|
|
| 138 |
"warmup": {
|
| 139 |
"memory": {
|
| 140 |
"unit": "MB",
|
| 141 |
-
"max_ram":
|
| 142 |
"max_global_vram": null,
|
| 143 |
"max_process_vram": null,
|
| 144 |
"max_reserved": null,
|
|
@@ -147,21 +148,21 @@
|
|
| 147 |
"latency": {
|
| 148 |
"unit": "s",
|
| 149 |
"count": 2,
|
| 150 |
-
"total": 1.
|
| 151 |
-
"mean": 0.
|
| 152 |
-
"stdev": 0.
|
| 153 |
-
"p50": 0.
|
| 154 |
-
"p90": 0.
|
| 155 |
-
"p95": 0.
|
| 156 |
-
"p99": 0.
|
| 157 |
"values": [
|
| 158 |
-
0.
|
| 159 |
-
0.
|
| 160 |
]
|
| 161 |
},
|
| 162 |
"throughput": {
|
| 163 |
"unit": "samples/s",
|
| 164 |
-
"value": 6.
|
| 165 |
},
|
| 166 |
"energy": null,
|
| 167 |
"efficiency": null
|
|
@@ -169,7 +170,7 @@
|
|
| 169 |
"train": {
|
| 170 |
"memory": {
|
| 171 |
"unit": "MB",
|
| 172 |
-
"max_ram":
|
| 173 |
"max_global_vram": null,
|
| 174 |
"max_process_vram": null,
|
| 175 |
"max_reserved": null,
|
|
@@ -178,22 +179,22 @@
|
|
| 178 |
"latency": {
|
| 179 |
"unit": "s",
|
| 180 |
"count": 3,
|
| 181 |
-
"total": 1.
|
| 182 |
-
"mean": 0.
|
| 183 |
-
"stdev": 0.
|
| 184 |
-
"p50": 0.
|
| 185 |
-
"p90": 0.
|
| 186 |
-
"p95": 0.
|
| 187 |
-
"p99": 0.
|
| 188 |
"values": [
|
| 189 |
-
0.
|
| 190 |
-
0.
|
| 191 |
-
0.
|
| 192 |
]
|
| 193 |
},
|
| 194 |
"throughput": {
|
| 195 |
"unit": "samples/s",
|
| 196 |
-
"value": 10.
|
| 197 |
},
|
| 198 |
"energy": null,
|
| 199 |
"efficiency": null
|
|
|
|
| 51 |
"per_device_train_batch_size": 2,
|
| 52 |
"gradient_accumulation_steps": 1,
|
| 53 |
"output_dir": "./trainer_output",
|
| 54 |
+
"evaluation_strategy": "no",
|
| 55 |
"eval_strategy": "no",
|
| 56 |
"save_strategy": "no",
|
| 57 |
"do_train": true,
|
|
|
|
| 86 |
"processor": "x86_64",
|
| 87 |
"python_version": "3.10.14",
|
| 88 |
"optimum_benchmark_version": "0.2.1",
|
| 89 |
+
"optimum_benchmark_commit": "3b8c49a169ebd79001b2a83fbf2b332612417102",
|
| 90 |
"transformers_version": "4.42.3",
|
| 91 |
"transformers_commit": null,
|
| 92 |
"accelerate_version": "0.31.0",
|
|
|
|
| 105 |
"overall": {
|
| 106 |
"memory": {
|
| 107 |
"unit": "MB",
|
| 108 |
+
"max_ram": 2837.917696,
|
| 109 |
"max_global_vram": null,
|
| 110 |
"max_process_vram": null,
|
| 111 |
"max_reserved": null,
|
|
|
|
| 114 |
"latency": {
|
| 115 |
"unit": "s",
|
| 116 |
"count": 5,
|
| 117 |
+
"total": 3.074100703000056,
|
| 118 |
+
"mean": 0.6148201406000112,
|
| 119 |
+
"stdev": 0.04394361792403742,
|
| 120 |
+
"p50": 0.59308914799999,
|
| 121 |
+
"p90": 0.660530029400013,
|
| 122 |
+
"p95": 0.681518156200002,
|
| 123 |
+
"p99": 0.6983086576399933,
|
| 124 |
"values": [
|
| 125 |
+
0.7025062829999911,
|
| 126 |
+
0.59308914799999,
|
| 127 |
+
0.597565649000046,
|
| 128 |
+
0.588176599999997,
|
| 129 |
+
0.5927630230000318
|
| 130 |
]
|
| 131 |
},
|
| 132 |
"throughput": {
|
| 133 |
"unit": "samples/s",
|
| 134 |
+
"value": 16.26491934737347
|
| 135 |
},
|
| 136 |
"energy": null,
|
| 137 |
"efficiency": null
|
|
|
|
| 139 |
"warmup": {
|
| 140 |
"memory": {
|
| 141 |
"unit": "MB",
|
| 142 |
+
"max_ram": 2837.917696,
|
| 143 |
"max_global_vram": null,
|
| 144 |
"max_process_vram": null,
|
| 145 |
"max_reserved": null,
|
|
|
|
| 148 |
"latency": {
|
| 149 |
"unit": "s",
|
| 150 |
"count": 2,
|
| 151 |
+
"total": 1.295595430999981,
|
| 152 |
+
"mean": 0.6477977154999905,
|
| 153 |
+
"stdev": 0.05470856750000053,
|
| 154 |
+
"p50": 0.6477977154999905,
|
| 155 |
+
"p90": 0.691564569499991,
|
| 156 |
+
"p95": 0.697035426249991,
|
| 157 |
+
"p99": 0.7014121116499911,
|
| 158 |
"values": [
|
| 159 |
+
0.7025062829999911,
|
| 160 |
+
0.59308914799999
|
| 161 |
]
|
| 162 |
},
|
| 163 |
"throughput": {
|
| 164 |
"unit": "samples/s",
|
| 165 |
+
"value": 6.174767067390281
|
| 166 |
},
|
| 167 |
"energy": null,
|
| 168 |
"efficiency": null
|
|
|
|
| 170 |
"train": {
|
| 171 |
"memory": {
|
| 172 |
"unit": "MB",
|
| 173 |
+
"max_ram": 2837.917696,
|
| 174 |
"max_global_vram": null,
|
| 175 |
"max_process_vram": null,
|
| 176 |
"max_reserved": null,
|
|
|
|
| 179 |
"latency": {
|
| 180 |
"unit": "s",
|
| 181 |
"count": 3,
|
| 182 |
+
"total": 1.778505272000075,
|
| 183 |
+
"mean": 0.5928350906666916,
|
| 184 |
+
"stdev": 0.003833401934988783,
|
| 185 |
+
"p50": 0.5927630230000318,
|
| 186 |
+
"p90": 0.5966051238000432,
|
| 187 |
+
"p95": 0.5970853864000446,
|
| 188 |
+
"p99": 0.5974695964800457,
|
| 189 |
"values": [
|
| 190 |
+
0.597565649000046,
|
| 191 |
+
0.588176599999997,
|
| 192 |
+
0.5927630230000318
|
| 193 |
]
|
| 194 |
},
|
| 195 |
"throughput": {
|
| 196 |
"unit": "samples/s",
|
| 197 |
+
"value": 10.120858387873952
|
| 198 |
},
|
| 199 |
"energy": null,
|
| 200 |
"efficiency": null
|