{
    "config": {
        "name": "cuda_training_transformers_token-classification_microsoft/deberta-v3-base",
        "backend": {
            "name": "pytorch",
            "version": "2.2.2+rocm5.7",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "token-classification",
            "library": "transformers",
            "model": "microsoft/deberta-v3-base",
            "processor": "microsoft/deberta-v3-base",
            "device": "cuda",
            "device_ids": "0",
            "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",
                "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": true,
            "device_isolation_action": "error",
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7763 64-Core Processor",
            "cpu_count": 128,
            "cpu_ram_mb": 1082015.236096,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.12",
            "gpu": [
                "Advanced Micro Devices, Inc. [AMD/ATI]"
            ],
            "gpu_count": 1,
            "gpu_vram_mb": 68702699520,
            "optimum_benchmark_version": "0.2.1",
            "optimum_benchmark_commit": "d920fe9626db1e7915f6d3574b5b54b0159cd100",
            "transformers_version": "4.42.3",
            "transformers_commit": null,
            "accelerate_version": "0.31.0",
            "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": 1930.067968,
                "max_global_vram": 4374.421504,
                "max_process_vram": 1772589.73184,
                "max_reserved": 3919.577088,
                "max_allocated": 3695.353344
            },
            "latency": {
                "unit": "s",
                "count": 5,
                "total": 0.9174648666381835,
                "mean": 0.1834929733276367,
                "stdev": 0.21340753212475375,
                "p50": 0.07701494598388672,
                "p90": 0.3973170013427735,
                "p95": 0.5038116073608397,
                "p99": 0.5890072921752929,
                "values": [
                    0.6103062133789062,
                    0.07618582153320312,
                    0.07783318328857422,
                    0.07701494598388672,
                    0.07612470245361327
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 54.49799967078007
            },
            "energy": null,
            "efficiency": null
        },
        "warmup": {
            "memory": {
                "unit": "MB",
                "max_ram": 1930.067968,
                "max_global_vram": 4374.421504,
                "max_process_vram": 1772589.73184,
                "max_reserved": 3919.577088,
                "max_allocated": 3695.353344
            },
            "latency": {
                "unit": "s",
                "count": 2,
                "total": 0.6864920349121093,
                "mean": 0.34324601745605465,
                "stdev": 0.2670601959228516,
                "p50": 0.34324601745605465,
                "p90": 0.556894174194336,
                "p95": 0.5836001937866211,
                "p99": 0.6049650094604492,
                "values": [
                    0.6103062133789062,
                    0.07618582153320312
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 11.65344911980549
            },
            "energy": null,
            "efficiency": null
        },
        "train": {
            "memory": {
                "unit": "MB",
                "max_ram": 1930.067968,
                "max_global_vram": 4374.421504,
                "max_process_vram": 1772589.73184,
                "max_reserved": 3919.577088,
                "max_allocated": 3695.353344
            },
            "latency": {
                "unit": "s",
                "count": 3,
                "total": 0.23097283172607422,
                "mean": 0.0769909439086914,
                "stdev": 0.0006976908415468244,
                "p50": 0.07701494598388672,
                "p90": 0.07766953582763672,
                "p95": 0.07775135955810547,
                "p99": 0.07781681854248047,
                "values": [
                    0.07783318328857422,
                    0.07701494598388672,
                    0.07612470245361327
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 77.93124353840618
            },
            "energy": null,
            "efficiency": null
        }
    }
}