cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json

{
    "config": {
        "name": "cuda_training_transformers_fill-mask_google-bert/bert-base-uncased",
        "backend": {
            "name": "pytorch",
            "version": "2.2.2+rocm5.7",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "fill-mask",
            "library": "transformers",
            "model_type": "bert",
            "model": "google-bert/bert-base-uncased",
            "processor": "google-bert/bert-base-uncased",
            "device": "cuda",
            "device_ids": "6",
            "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": 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": 1082015.256576,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-5.15.0-101-generic-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.12",
            "gpu": [
                "Advanced Micro Devices, Inc. [AMD/ATI]",
                "Advanced Micro Devices, Inc. [AMD/ATI]",
                "Advanced Micro Devices, Inc. [AMD/ATI]",
                "Advanced Micro Devices, Inc. [AMD/ATI]",
                "Advanced Micro Devices, Inc. [AMD/ATI]",
                "Advanced Micro Devices, Inc. [AMD/ATI]",
                "Advanced Micro Devices, Inc. [AMD/ATI]",
                "Advanced Micro Devices, Inc. [AMD/ATI]"
            ],
            "gpu_count": 8,
            "gpu_vram_mb": 549621596160,
            "optimum_benchmark_version": "0.4.0",
            "optimum_benchmark_commit": null,
            "transformers_version": "4.44.2",
            "transformers_commit": null,
            "accelerate_version": "0.33.0",
            "accelerate_commit": null,
            "diffusers_version": "0.30.1",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.9",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "overall": {
            "memory": {
                "unit": "MB",
                "max_ram": 1140.887552,
                "max_global_vram": 2953.265152,
                "max_process_vram": 299822.682112,
                "max_reserved": 2497.708032,
                "max_allocated": 2195.345408
            },
            "latency": {
                "unit": "s",
                "count": 5,
                "total": 0.6710782089233398,
                "mean": 0.13421564178466797,
                "stdev": 0.1872905670480197,
                "p50": 0.040692584991455075,
                "p90": 0.32161682739257813,
                "p95": 0.4152066680908202,
                "p99": 0.49007854064941403,
                "values": [
                    0.5087965087890625,
                    0.04084730529785156,
                    0.04017226409912109,
                    0.04056954574584961,
                    0.040692584991455075
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 74.50696406938721
            },
            "energy": null,
            "efficiency": null
        },
        "warmup": {
            "memory": {
                "unit": "MB",
                "max_ram": 1140.887552,
                "max_global_vram": 2953.265152,
                "max_process_vram": 299822.682112,
                "max_reserved": 2497.708032,
                "max_allocated": 2195.345408
            },
            "latency": {
                "unit": "s",
                "count": 2,
                "total": 0.549643814086914,
                "mean": 0.274821907043457,
                "stdev": 0.23397460174560544,
                "p50": 0.274821907043457,
                "p90": 0.4620015884399414,
                "p95": 0.4853990486145019,
                "p99": 0.5041170167541503,
                "values": [
                    0.5087965087890625,
                    0.04084730529785156
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 14.554880442509587
            },
            "energy": null,
            "efficiency": null
        },
        "train": {
            "memory": {
                "unit": "MB",
                "max_ram": 1140.887552,
                "max_global_vram": 2953.265152,
                "max_process_vram": 299822.682112,
                "max_reserved": 2497.708032,
                "max_allocated": 2195.345408
            },
            "latency": {
                "unit": "s",
                "count": 3,
                "total": 0.12143439483642578,
                "mean": 0.04047813161214193,
                "stdev": 0.0002220373326431881,
                "p50": 0.04056954574584961,
                "p90": 0.04066797714233398,
                "p95": 0.04068028106689453,
                "p99": 0.040690124206542964,
                "values": [
                    0.04017226409912109,
                    0.04056954574584961,
                    0.040692584991455075
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 148.2281854679336
            },
            "energy": null,
            "efficiency": null
        }
    }
}