File size: 7,094 Bytes
2d6b80f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 |
{
"config": {
"name": "cuda_training_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.2.2",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"model": "FacebookAI/roberta-base",
"library": "transformers",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"no_weights": true,
"device_map": null,
"torch_dtype": null,
"eval_mode": true,
"to_bettertransformer": false,
"low_cpu_mem_usage": null,
"attn_implementation": null,
"cache_implementation": null,
"autocast_enabled": false,
"autocast_dtype": null,
"torch_compile": false,
"torch_compile_target": "forward",
"torch_compile_config": {},
"quantization_scheme": null,
"quantization_config": {},
"deepspeed_inference": false,
"deepspeed_inference_config": {},
"peft_type": null,
"peft_config": {}
},
"scenario": {
"name": "training",
"_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario",
"max_steps": 5,
"warmup_steps": 2,
"dataset_shapes": {
"dataset_size": 500,
"sequence_length": 16,
"num_choices": 1
},
"training_arguments": {
"per_device_train_batch_size": 2,
"gradient_accumulation_steps": 1,
"output_dir": "./trainer_output",
"do_train": true,
"use_cpu": false,
"max_steps": 5,
"do_eval": false,
"do_predict": false,
"report_to": "none",
"skip_memory_metrics": true,
"ddp_find_unused_parameters": false
},
"latency": true,
"memory": true,
"energy": false
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": true,
"device_isolation_action": "error",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.29792,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.214-202.855.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"gpu": [
"NVIDIA A10G"
],
"gpu_count": 1,
"gpu_vram_mb": 24146608128,
"optimum_benchmark_version": "0.2.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.0",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1093.496832,
"max_global_vram": 3379.03616,
"max_process_vram": 0.0,
"max_reserved": 2730.491904,
"max_allocated": 2516.23424
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.8026234703063965,
"mean": 0.16052469406127928,
"stdev": 0.22240891148008993,
"p50": 0.04907724761962891,
"p90": 0.38326721343994147,
"p95": 0.49430444412231433,
"p99": 0.5831342286682129,
"values": [
0.6053416748046875,
0.05015552139282226,
0.04897484970092773,
0.04907417678833008,
0.04907724761962891
]
},
"throughput": {
"unit": "samples/s",
"value": 62.295711313940046
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1093.496832,
"max_global_vram": 3379.03616,
"max_process_vram": 0.0,
"max_reserved": 2730.491904,
"max_allocated": 2516.23424
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.6554971961975098,
"mean": 0.3277485980987549,
"stdev": 0.27759307670593264,
"p50": 0.3277485980987549,
"p90": 0.549823059463501,
"p95": 0.5775823671340942,
"p99": 0.5997898132705688,
"values": [
0.6053416748046875,
0.05015552139282226
]
},
"throughput": {
"unit": "samples/s",
"value": 12.204476306546239
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1093.496832,
"max_global_vram": 3379.03616,
"max_process_vram": 0.0,
"max_reserved": 2730.491904,
"max_allocated": 2516.23424
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.14712627410888673,
"mean": 0.049042091369628914,
"stdev": 4.7563564546161045e-05,
"p50": 0.04907417678833008,
"p90": 0.04907663345336914,
"p95": 0.049076940536499025,
"p99": 0.04907718620300293,
"values": [
0.04897484970092773,
0.04907417678833008,
0.04907724761962891
]
},
"throughput": {
"unit": "samples/s",
"value": 122.34388527149387
},
"energy": null,
"efficiency": null
}
}
} |