{
    "config": {
        "name": "cpu_training_transformers_fill-mask_hf-internal-testing/tiny-random-BertModel",
        "backend": {
            "name": "pytorch",
            "version": "2.8.0",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "model": "hf-internal-testing/tiny-random-BertModel",
            "processor": "hf-internal-testing/tiny-random-BertModel",
            "task": "fill-mask",
            "library": "transformers",
            "model_type": "bert",
            "device": "cpu",
            "device_ids": null,
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "model_kwargs": {},
            "processor_kwargs": {},
            "no_weights": true,
            "tp_plan": null,
            "device_map": null,
            "torch_dtype": null,
            "eval_mode": true,
            "to_bettertransformer": false,
            "low_cpu_mem_usage": null,
            "attn_implementation": null,
            "cache_implementation": null,
            "allow_tf32": false,
            "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",
                "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": 16772.579328,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.11.0-1018-azure-x86_64-with-glibc2.39",
            "processor": "x86_64",
            "python_version": "3.10.18",
            "optimum_benchmark_version": "0.6.0.dev0",
            "optimum_benchmark_commit": "53ea6cdb2b8761f51c37c7d00ce8ece44e923914",
            "transformers_version": "4.55.2",
            "transformers_commit": "53ea6cdb2b8761f51c37c7d00ce8ece44e923914",
            "accelerate_version": "1.10.0",
            "accelerate_commit": "53ea6cdb2b8761f51c37c7d00ce8ece44e923914",
            "diffusers_version": "0.35.0",
            "diffusers_commit": "53ea6cdb2b8761f51c37c7d00ce8ece44e923914",
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.19",
            "timm_commit": "53ea6cdb2b8761f51c37c7d00ce8ece44e923914",
            "peft_version": "0.17.0",
            "peft_commit": "53ea6cdb2b8761f51c37c7d00ce8ece44e923914"
        },
        "print_report": true,
        "log_report": true
    },
    "report": {
        "overall": {
            "memory": {
                "unit": "MB",
                "max_ram": 935.493632,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.016169329999996762,
                    0.01269999599999494,
                    0.012234255999999277,
                    0.012165928000001713,
                    0.012404774000003727
                ],
                "count": 5,
                "total": 0.06567428399999642,
                "mean": 0.013134856799999284,
                "p50": 0.012404774000003727,
                "p90": 0.014781596399996034,
                "p95": 0.015475463199996396,
                "p99": 0.01603055663999669,
                "stdev": 0.0015284015985439225,
                "stdev_": 11.636225821236252
            },
            "throughput": {
                "unit": "samples/s",
                "value": 761.3330051683963
            },
            "energy": {
                "unit": "kWh",
                "cpu": 6.822959102942169e-06,
                "ram": 2.116487716666645e-06,
                "gpu": 0.0,
                "total": 8.939446819608814e-06
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 1118637.4505931223
            }
        },
        "warmup": {
            "memory": {
                "unit": "MB",
                "max_ram": 935.493632,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.016169329999996762,
                    0.01269999599999494
                ],
                "count": 2,
                "total": 0.028869325999991702,
                "mean": 0.014434662999995851,
                "p50": 0.014434662999995851,
                "p90": 0.01582239659999658,
                "p95": 0.015995863299996672,
                "p99": 0.016134636659996746,
                "stdev": 0.0017346670000009112,
                "stdev_": 12.017370963225188
            },
            "throughput": {
                "unit": "samples/s",
                "value": 277.1107299145917
            },
            "energy": null,
            "efficiency": null
        },
        "train": {
            "memory": {
                "unit": "MB",
                "max_ram": 935.493632,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.012234255999999277,
                    0.012165928000001713,
                    0.012404774000003727
                ],
                "count": 3,
                "total": 0.03680495800000472,
                "mean": 0.012268319333334906,
                "p50": 0.012234255999999277,
                "p90": 0.012370670400002837,
                "p95": 0.012387722200003282,
                "p99": 0.012401363640003637,
                "stdev": 0.00010043932144232165,
                "stdev_": 0.8186885156258739
            },
            "throughput": {
                "unit": "samples/s",
                "value": 489.0645439670843
            },
            "energy": null,
            "efficiency": null
        }
    }
}