{
    "config": {
        "name": "cpu_training_transformers_text-classification_FacebookAI/roberta-base",
        "backend": {
            "name": "pytorch",
            "version": "2.5.1+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "text-classification",
            "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": "451d42c2ff0ea0958ea32cb36b406534bd229306",
            "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": 2888.9088,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.6988949409999918,
                    0.5809296580000023,
                    0.5698796689999881,
                    0.5526874529999759,
                    0.5564906390000033
                ],
                "count": 5,
                "total": 2.9588823599999614,
                "mean": 0.5917764719999923,
                "p50": 0.5698796689999881,
                "p90": 0.6517088277999961,
                "p95": 0.675301884399994,
                "p99": 0.6941763296799922,
                "stdev": 0.054487670483077164,
                "stdev_": 9.207474960761514
            },
            "throughput": {
                "unit": "samples/s",
                "value": 16.898272359838142
            },
            "energy": {
                "unit": "kWh",
                "cpu": 0.00012219518974444587,
                "ram": 5.110491745202345e-06,
                "gpu": 0,
                "total": 0.00012730568148964822
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 78551.08965276733
            }
        },
        "warmup": {
            "memory": {
                "unit": "MB",
                "max_ram": 2888.9088,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.6988949409999918,
                    0.5809296580000023
                ],
                "count": 2,
                "total": 1.2798245989999941,
                "mean": 0.6399122994999971,
                "p50": 0.6399122994999971,
                "p90": 0.6870984126999928,
                "p95": 0.6929966768499923,
                "p99": 0.697715288169992,
                "stdev": 0.05898264149999477,
                "stdev_": 9.217300799825468
            },
            "throughput": {
                "unit": "samples/s",
                "value": 6.250856567572535
            },
            "energy": null,
            "efficiency": null
        },
        "train": {
            "memory": {
                "unit": "MB",
                "max_ram": 2888.9088,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.5698796689999881,
                    0.5526874529999759,
                    0.5564906390000033
                ],
                "count": 3,
                "total": 1.6790577609999673,
                "mean": 0.5596859203333224,
                "p50": 0.5564906390000033,
                "p90": 0.5672018629999911,
                "p95": 0.5685407659999896,
                "p99": 0.5696118883999884,
                "stdev": 0.007373395411751729,
                "stdev_": 1.317416633843582
            },
            "throughput": {
                "unit": "samples/s",
                "value": 10.720298263759581
            },
            "energy": null,
            "efficiency": null
        }
    }
}