File size: 7,238 Bytes
31ee44a 2271b00 31ee44a d05f958 cc63d55 31ee44a cc63d55 31ee44a bfc0f5c ee19fdf 31ee44a 70f5bbf 31ee44a 4d55851 31ee44a 2271b00 31ee44a 26318e7 31ee44a 5ead2f5 31ee44a 2271b00 31ee44a 2271b00 31ee44a 2271b00 31ee44a 2271b00 31ee44a a8d756b 1a8b263 31ee44a a8d756b 31ee44a a8d756b 31ee44a a8d756b 31ee44a a8d756b 1a8b263 31ee44a a8d756b 31ee44a a8d756b 31ee44a a8d756b 31ee44a a8d756b 1a8b263 31ee44a a8d756b 31ee44a a8d756b 31ee44a a8d756b 31ee44a |
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 |
{
"config": {
"name": "cuda_training_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"hub_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": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.293824,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.219-208.866.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"NVIDIA A10G"
],
"gpu_count": 1,
"gpu_vram_mb": 24146608128,
"optimum_benchmark_version": "0.3.1",
"optimum_benchmark_commit": null,
"transformers_version": "4.42.3",
"transformers_commit": null,
"accelerate_version": "0.31.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1095.725056,
"max_global_vram": 3379.03616,
"max_process_vram": 0.0,
"max_reserved": 2730.491904,
"max_allocated": 2516.250112
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.9222113571166991,
"mean": 0.18444227142333983,
"stdev": 0.26922342234575136,
"p50": 0.049904640197753904,
"p90": 0.4538884262084961,
"p95": 0.588388579559326,
"p99": 0.6959887022399902,
"values": [
0.7228887329101562,
0.05038796615600586,
0.049904640197753904,
0.049530879974365234,
0.04949913787841797
]
},
"throughput": {
"unit": "samples/s",
"value": 54.21750623016114
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1095.725056,
"max_global_vram": 3379.03616,
"max_process_vram": 0.0,
"max_reserved": 2730.491904,
"max_allocated": 2516.250112
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.773276699066162,
"mean": 0.386638349533081,
"stdev": 0.33625038337707513,
"p50": 0.386638349533081,
"p90": 0.6556386562347412,
"p95": 0.6892636945724486,
"p99": 0.7161637252426147,
"values": [
0.7228887329101562,
0.05038796615600586
]
},
"throughput": {
"unit": "samples/s",
"value": 10.345585234445963
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1095.725056,
"max_global_vram": 3379.03616,
"max_process_vram": 0.0,
"max_reserved": 2730.491904,
"max_allocated": 2516.250112
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.1489346580505371,
"mean": 0.0496448860168457,
"stdev": 0.00018413050813349629,
"p50": 0.049530879974365234,
"p90": 0.04982988815307617,
"p95": 0.04986726417541504,
"p99": 0.04989716499328613,
"values": [
0.049904640197753904,
0.049530879974365234,
0.04949913787841797
]
},
"throughput": {
"unit": "samples/s",
"value": 120.85836994295961
},
"energy": null,
"efficiency": null
}
}
} |