File size: 7,917 Bytes
7c8d12c bad9693 7c8d12c 9402f65 c53ca35 7c8d12c c009ce0 7c8d12c c53ca35 7c8d12c c5a3d15 1384b6a 7c8d12c 9c20011 3b46373 7c8d12c 6e0e3ad ba6a4c2 7c8d12c e761ac0 7c8d12c 8d70891 7c8d12c 8d70891 74344bf 6e0e3ad e3c091b 7c8d12c e3c091b 7c8d12c e3c091b 7c8d12c 0ee1055 7c8d12c ba6a4c2 06b7044 a1893b3 7c8d12c 0ee1055 f551f66 0ee1055 7c8d12c 0ee1055 e761ac0 0ee1055 7c8d12c 0ee1055 7c8d12c 0a26223 7c8d12c 0ee1055 f551f66 0ee1055 7c8d12c 0ee1055 e761ac0 0ee1055 7c8d12c 0ee1055 7c8d12c 0a26223 7c8d12c 0ee1055 f551f66 0ee1055 7c8d12c 0ee1055 e761ac0 0ee1055 7c8d12c 0ee1055 7c8d12c 0a26223 7c8d12c |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 |
{
"config": {
"name": "cuda_training_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cuda",
"device_ids": "5",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"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",
"evaluation_strategy": "no",
"eval_strategy": "no",
"save_strategy": "no",
"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": "warn",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082014.490624,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-122-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 8,
"gpu_vram_mb": 549621596160,
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": null,
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.12",
"timm_commit": null,
"peft_version": "0.13.2",
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1338.38848,
"max_global_vram": 68702.69952,
"max_process_vram": 246264.426496,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"values": [
0.6006948852539062,
0.044773078918457034,
0.04363180541992188,
0.04361740493774414,
0.04357212448120117
],
"count": 5,
"total": 0.7762892990112304,
"mean": 0.1552578598022461,
"p50": 0.04363180541992188,
"p90": 0.37832616271972663,
"p95": 0.48951052398681627,
"p99": 0.5784580130004883,
"stdev": 0.22271897139834443,
"stdev_": 143.45101219482507
},
"throughput": {
"unit": "samples/s",
"value": 64.40897750836658
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1338.38848,
"max_global_vram": 68702.69952,
"max_process_vram": 246264.426496,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"values": [
0.6006948852539062,
0.044773078918457034
],
"count": 2,
"total": 0.6454679641723633,
"mean": 0.32273398208618165,
"p50": 0.32273398208618165,
"p90": 0.5451027046203614,
"p95": 0.5728987949371338,
"p99": 0.5951356671905518,
"stdev": 0.2779609031677246,
"stdev_": 86.12694001758358
},
"throughput": {
"unit": "samples/s",
"value": 12.39410852908528
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1338.38848,
"max_global_vram": 68702.69952,
"max_process_vram": 246264.426496,
"max_reserved": 2707.423232,
"max_allocated": 2497.88416
},
"latency": {
"unit": "s",
"values": [
0.04363180541992188,
0.04361740493774414,
0.04357212448120117
],
"count": 3,
"total": 0.13082133483886718,
"mean": 0.043607111612955725,
"p50": 0.04361740493774414,
"p90": 0.04362892532348633,
"p95": 0.0436303653717041,
"p99": 0.04363151741027832,
"stdev": 2.542856678417505e-05,
"stdev_": 0.058312889443060914
},
"throughput": {
"unit": "samples/s",
"value": 137.59223617593128
},
"energy": null,
"efficiency": null
}
}
} |