IlyasMoutawwakil
HF staff
Upload cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
d4b1042
verified
{ | |
"config": { | |
"name": "cpu_training_transformers_fill-mask_google-bert/bert-base-uncased", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.5.1+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": 16757.342208, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.15", | |
"optimum_benchmark_version": "0.5.0.dev0", | |
"optimum_benchmark_commit": "78351930eda4599a64ff2da35e08ab39722c146a", | |
"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": "1.0.11", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
}, | |
"print_report": true, | |
"log_report": true | |
}, | |
"report": { | |
"overall": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2513.027072, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"values": [ | |
0.6867478300000016, | |
0.5613925220000056, | |
0.5822482469999954, | |
0.5643380349999916, | |
0.5637200859999894 | |
], | |
"count": 5, | |
"total": 2.9584467199999835, | |
"mean": 0.5916893439999967, | |
"p50": 0.5643380349999916, | |
"p90": 0.6449479967999991, | |
"p95": 0.6658479134000004, | |
"p99": 0.6825678466800014, | |
"stdev": 0.04811137286247493, | |
"stdev_": 8.131187987471208 | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 16.900760680253278 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 0.0001224525745722218, | |
"ram": 5.118303604750447e-06, | |
"gpu": 0, | |
"total": 0.00012757087817697225 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 78387.79620320193 | |
} | |
}, | |
"warmup": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2513.027072, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"values": [ | |
0.6867478300000016, | |
0.5613925220000056 | |
], | |
"count": 2, | |
"total": 1.2481403520000072, | |
"mean": 0.6240701760000036, | |
"p50": 0.6240701760000036, | |
"p90": 0.674212299200002, | |
"p95": 0.6804800646000018, | |
"p99": 0.6854942769200016, | |
"stdev": 0.06267765399999803, | |
"stdev_": 10.04336634090293 | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 6.40953558402377 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"train": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2513.027072, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"values": [ | |
0.5822482469999954, | |
0.5643380349999916, | |
0.5637200859999894 | |
], | |
"count": 3, | |
"total": 1.7103063679999764, | |
"mean": 0.5701021226666588, | |
"p50": 0.5643380349999916, | |
"p90": 0.5786662045999946, | |
"p95": 0.580457225799995, | |
"p99": 0.5818900427599953, | |
"stdev": 0.008592311194019356, | |
"stdev_": 1.5071529910867072 | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 10.52443020547781 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |