{
    "config": {
        "name": "cpu_training_transformers_token-classification_microsoft/deberta-v3-base",
        "backend": {
            "name": "pytorch",
            "version": "2.5.1+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "token-classification",
            "library": "transformers",
            "model_type": "deberta-v2",
            "model": "microsoft/deberta-v3-base",
            "processor": "microsoft/deberta-v3-base",
            "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": 16766.779392,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39",
            "processor": "x86_64",
            "python_version": "3.10.15",
            "optimum_benchmark_version": "0.5.0.dev0",
            "optimum_benchmark_commit": "4a05fc1f3a5421f19d020d997dbccbd6448c5dee",
            "transformers_version": "4.47.0",
            "transformers_commit": null,
            "accelerate_version": "1.2.0",
            "accelerate_commit": null,
            "diffusers_version": "0.31.0",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.12",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        },
        "print_report": true,
        "log_report": true
    },
    "report": {
        "overall": {
            "memory": {
                "unit": "MB",
                "max_ram": 4297.285632,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    1.3566491739999833,
                    1.1260790989999805,
                    1.1182490069999744,
                    1.1121483950000197,
                    1.1116588100000513
                ],
                "count": 5,
                "total": 5.824784485000009,
                "mean": 1.164956897000002,
                "p50": 1.1182490069999744,
                "p90": 1.2644211439999822,
                "p95": 1.3105351589999827,
                "p99": 1.3474263709999832,
                "stdev": 0.09598798173558934,
                "stdev_": 8.239616588628959
            },
            "throughput": {
                "unit": "samples/s",
                "value": 8.58400858070544
            },
            "energy": {
                "unit": "kWh",
                "cpu": 0.00023386647130000082,
                "ram": 9.78132964648256e-06,
                "gpu": 0,
                "total": 0.00024364780094648337
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 41042.84939635665
            }
        },
        "warmup": {
            "memory": {
                "unit": "MB",
                "max_ram": 4297.285632,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    1.3566491739999833,
                    1.1260790989999805
                ],
                "count": 2,
                "total": 2.482728272999964,
                "mean": 1.241364136499982,
                "p50": 1.241364136499982,
                "p90": 1.333592166499983,
                "p95": 1.3451206702499832,
                "p99": 1.3543434732499833,
                "stdev": 0.11528503750000141,
                "stdev_": 9.286963761096468
            },
            "throughput": {
                "unit": "samples/s",
                "value": 3.2222616091342657
            },
            "energy": null,
            "efficiency": null
        },
        "train": {
            "memory": {
                "unit": "MB",
                "max_ram": 4297.285632,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    1.1182490069999744,
                    1.1121483950000197,
                    1.1116588100000513
                ],
                "count": 3,
                "total": 3.3420562120000454,
                "mean": 1.1140187373333486,
                "p50": 1.1121483950000197,
                "p90": 1.1170288845999834,
                "p95": 1.117638945799979,
                "p99": 1.1181269947599752,
                "stdev": 0.0029979225537395313,
                "stdev_": 0.2691088087903912
            },
            "throughput": {
                "unit": "samples/s",
                "value": 5.3859058191088724
            },
            "energy": null,
            "efficiency": null
        }
    }
}