IlyasMoutawwakil
HF staff
Upload cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
fd35b2e
verified
{ | |
"config": { | |
"name": "cpu_training_transformers_fill-mask_google-bert/bert-base-uncased", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.4.1+cpu", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "fill-mask", | |
"library": "transformers", | |
"model_type": "bert", | |
"model": "google-bert/bert-base-uncased", | |
"processor": "google-bert/bert-base-uncased", | |
"device": "cpu", | |
"device_ids": null, | |
"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": true | |
}, | |
"launcher": { | |
"name": "process", | |
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", | |
"device_isolation": false, | |
"device_isolation_action": null, | |
"numactl": false, | |
"numactl_kwargs": {}, | |
"start_method": "spawn" | |
}, | |
"environment": { | |
"cpu": " AMD EPYC 7763 64-Core Processor", | |
"cpu_count": 4, | |
"cpu_ram_mb": 16766.7712, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.15", | |
"optimum_benchmark_version": "0.5.0", | |
"optimum_benchmark_commit": "11fc1578907ddfc66a9a7fb8f19815e001677ad1", | |
"transformers_version": "4.44.2", | |
"transformers_commit": null, | |
"accelerate_version": "0.34.2", | |
"accelerate_commit": null, | |
"diffusers_version": "0.30.3", | |
"diffusers_commit": null, | |
"optimum_version": "1.22.0", | |
"optimum_commit": null, | |
"timm_version": "1.0.9", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"overall": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2502.623232, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"values": [ | |
0.6793831840000166, | |
0.5530509669999901, | |
0.5626354070000161, | |
0.5575118799999927, | |
0.5735855529999867 | |
], | |
"count": 5, | |
"total": 2.9261669910000023, | |
"mean": 0.5852333982000004, | |
"p50": 0.5626354070000161, | |
"p90": 0.6370641316000046, | |
"p95": 0.6582236578000106, | |
"p99": 0.6751512787600155, | |
"stdev": 0.04757040071204727, | |
"stdev_": 8.128449411526978 | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 17.087199792009397 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 0.00012553376157777875, | |
"ram": 5.250148351669761e-06, | |
"gpu": 0, | |
"total": 0.0001307839099294485 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 76462.00519157524 | |
} | |
}, | |
"warmup": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2502.623232, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"values": [ | |
0.6793831840000166, | |
0.5530509669999901 | |
], | |
"count": 2, | |
"total": 1.2324341510000068, | |
"mean": 0.6162170755000034, | |
"p50": 0.6162170755000034, | |
"p90": 0.6667499623000139, | |
"p95": 0.6730665731500153, | |
"p99": 0.6781198618300164, | |
"stdev": 0.06316610850001325, | |
"stdev_": 10.250626120472202 | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 6.491219018483655 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"train": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2502.623232, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"values": [ | |
0.5626354070000161, | |
0.5575118799999927, | |
0.5735855529999867 | |
], | |
"count": 3, | |
"total": 1.6937328399999956, | |
"mean": 0.5645776133333319, | |
"p50": 0.5626354070000161, | |
"p90": 0.5713955237999926, | |
"p95": 0.5724905383999896, | |
"p99": 0.5733665500799873, | |
"stdev": 0.006704220810234028, | |
"stdev_": 1.1874754952913433 | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 10.627413943275757 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |