{
    "config": {
        "name": "cpu_training_transformers_image-classification_google/vit-base-patch16-224",
        "backend": {
            "name": "pytorch",
            "version": "2.3.1+cpu",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "image-classification",
            "library": "transformers",
            "model": "google/vit-base-patch16-224",
            "processor": "google/vit-base-patch16-224",
            "device": "cpu",
            "device_ids": null,
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "model_kwargs": {},
            "processor_kwargs": {},
            "hub_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": false
        },
        "launcher": {
            "name": "process",
            "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
            "device_isolation": false,
            "device_isolation_action": "error",
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 4,
            "cpu_ram_mb": 16757.338112,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.14",
            "optimum_benchmark_version": "0.3.1",
            "optimum_benchmark_commit": "c31e63ddb94c29460ba90ff599147e94ff80543a",
            "transformers_version": "4.42.4",
            "transformers_commit": null,
            "accelerate_version": "0.32.1",
            "accelerate_commit": null,
            "diffusers_version": "0.29.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.7",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "overall": {
            "memory": {
                "unit": "MB",
                "max_ram": 2475.933696,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 5,
                "total": 7.624231406999968,
                "mean": 1.5248462813999937,
                "stdev": 0.04964447487479929,
                "p50": 1.4982898179999893,
                "p90": 1.5791911481999819,
                "p95": 1.6011959315999889,
                "p99": 1.6187997583199945,
                "values": [
                    1.6232007149999959,
                    1.494522456000027,
                    1.5131767979999609,
                    1.4982898179999893,
                    1.495041619999995
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 6.558038093399675
            },
            "energy": null,
            "efficiency": null
        },
        "warmup": {
            "memory": {
                "unit": "MB",
                "max_ram": 2475.933696,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 2,
                "total": 3.117723171000023,
                "mean": 1.5588615855000114,
                "stdev": 0.06433912949998444,
                "p50": 1.5588615855000114,
                "p90": 1.610332889099999,
                "p95": 1.6167668020499975,
                "p99": 1.6219139324099963,
                "values": [
                    1.6232007149999959,
                    1.494522456000027
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 2.565975091827658
            },
            "energy": null,
            "efficiency": null
        },
        "train": {
            "memory": {
                "unit": "MB",
                "max_ram": 2475.933696,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 3,
                "total": 4.506508235999945,
                "mean": 1.5021694119999818,
                "stdev": 0.00789555180576146,
                "p50": 1.4982898179999893,
                "p90": 1.5101994019999665,
                "p95": 1.5116880999999638,
                "p99": 1.5128790583999614,
                "values": [
                    1.5131767979999609,
                    1.4982898179999893,
                    1.495041619999995
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 3.994223256091752
            },
            "energy": null,
            "efficiency": null
        }
    }
}