{ "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": "58cc0e5ee90edf2ed9be8da04bbd5a641f13c036", "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": 2465.411072, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.6753894010000181, 0.576338039999996, 0.6161715320000098, 0.5812473630000454, 0.5917019169999662 ], "count": 5, "total": 3.0408482530000356, "mean": 0.6081696506000072, "p50": 0.5917019169999662, "p90": 0.6517022534000148, "p95": 0.6635458272000164, "p99": 0.6730206862400178, "stdev": 0.03630915092013911, "stdev_": 5.970233944478696 }, "throughput": { "unit": "samples/s", "value": 16.442780382306506 }, "energy": { "unit": "kWh", "cpu": 0.00012540173803888877, "ram": 5.241728718142001e-06, "gpu": 0, "total": 0.00013064346675703076 }, "efficiency": { "unit": "samples/kWh", "value": 76544.20269325742 } }, "warmup": { "memory": { "unit": "MB", "max_ram": 2465.411072, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.6753894010000181, 0.576338039999996 ], "count": 2, "total": 1.251727441000014, "mean": 0.625863720500007, "p50": 0.625863720500007, "p90": 0.6654842649000159, "p95": 0.670436832950017, "p99": 0.6743988873900179, "stdev": 0.04952568050001105, "stdev_": 7.913173248074616 }, "throughput": { "unit": "samples/s", "value": 6.391167707890739 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 2465.411072, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.6161715320000098, 0.5812473630000454, 0.5917019169999662 ], "count": 3, "total": 1.7891208120000215, "mean": 0.5963736040000072, "p50": 0.5917019169999662, "p90": 0.6112776090000012, "p95": 0.6137245705000055, "p99": 0.615682139700009, "stdev": 0.014635411158198521, "stdev_": 2.45406756101136 }, "throughput": { "unit": "samples/s", "value": 10.060807453174819 }, "energy": null, "efficiency": null } } }