{
    "config": {
        "name": "cpu_training_transformers_multiple-choice_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.5.1+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "multiple-choice",
            "library": "transformers",
            "model_type": "roberta",
            "model": "FacebookAI/roberta-base",
            "processor": "FacebookAI/roberta-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": "fc224307c41301d024a8231662a117210adcc42c",
            "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": 2842.816512,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.8280470860000264,
                    0.6785608739999702,
                    0.7011300009999673,
                    0.6771419109999783,
                    0.681880528000022
                ],
                "count": 5,
                "total": 3.566760399999964,
                "mean": 0.7133520799999928,
                "p50": 0.681880528000022,
                "p90": 0.7772802520000027,
                "p95": 0.8026636690000145,
                "p99": 0.8229704026000241,
                "stdev": 0.05799376958891894,
                "stdev_": 8.129754046405742
            },
            "throughput": {
                "unit": "samples/s",
                "value": 14.01832318201147
            },
            "energy": {
                "unit": "kWh",
                "cpu": 0.00014529148231111087,
                "ram": 6.076536043776566e-06,
                "gpu": 0,
                "total": 0.00015136801835488744
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 66064.15350272118
            }
        },
        "warmup": {
            "memory": {
                "unit": "MB",
                "max_ram": 2842.816512,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.8280470860000264,
                    0.6785608739999702
                ],
                "count": 2,
                "total": 1.5066079599999966,
                "mean": 0.7533039799999983,
                "p50": 0.7533039799999983,
                "p90": 0.8130984648000208,
                "p95": 0.8205727754000236,
                "p99": 0.8265522238800258,
                "stdev": 0.07474310600002809,
                "stdev_": 9.922037847195266
            },
            "throughput": {
                "unit": "samples/s",
                "value": 5.3099414130269285
            },
            "energy": null,
            "efficiency": null
        },
        "train": {
            "memory": {
                "unit": "MB",
                "max_ram": 2842.816512,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.7011300009999673,
                    0.6771419109999783,
                    0.681880528000022
                ],
                "count": 3,
                "total": 2.0601524399999676,
                "mean": 0.6867174799999892,
                "p50": 0.681880528000022,
                "p90": 0.6972801063999782,
                "p95": 0.6992050536999728,
                "p99": 0.7007450115399684,
                "stdev": 0.010373176753832685,
                "stdev_": 1.5105450284785014
            },
            "throughput": {
                "unit": "samples/s",
                "value": 8.737217523573296
            },
            "energy": null,
            "efficiency": null
        }
    }
}