cuda_training_transformers_fill-mask_hf-internal-testing/tiny-random-BertModel/benchmark.json

{
    "config": {
        "name": "cuda_training_transformers_fill-mask_hf-internal-testing/tiny-random-BertModel",
        "backend": {
            "name": "pytorch",
            "version": "2.5.1+cu124",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "fill-mask",
            "library": "transformers",
            "model_type": "bert",
            "model": "hf-internal-testing/tiny-random-BertModel",
            "processor": "hf-internal-testing/tiny-random-BertModel",
            "device": "cuda",
            "device_ids": "0",
            "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": true,
            "device_isolation_action": "error",
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7R32",
            "cpu_count": 16,
            "cpu_ram_mb": 66697.248768,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.12",
            "gpu": [
                "NVIDIA A10G"
            ],
            "gpu_count": 1,
            "gpu_vram_mb": 24146608128,
            "optimum_benchmark_version": "0.5.0.dev0",
            "optimum_benchmark_commit": null,
            "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": "0.14.0",
            "peft_commit": null
        },
        "print_report": true,
        "log_report": true
    },
    "report": {
        "overall": {
            "memory": {
                "unit": "MB",
                "max_ram": 1292.333056,
                "max_global_vram": 681.050112,
                "max_process_vram": 0.0,
                "max_reserved": 25.165824,
                "max_allocated": 19.652608
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.3010641784667969,
                    0.014334976196289062,
                    0.013433856010437012,
                    0.013479935646057128,
                    0.013884415626525879
                ],
                "count": 5,
                "total": 0.35619736194610596,
                "mean": 0.0712394723892212,
                "p50": 0.013884415626525879,
                "p90": 0.18637249755859378,
                "p95": 0.24371833801269527,
                "p99": 0.28959501037597657,
                "stdev": 0.11491281313812102,
                "stdev_": 161.30497501481744
            },
            "throughput": {
                "unit": "samples/s",
                "value": 140.37161793344555
            },
            "energy": {
                "unit": "kWh",
                "cpu": 6.624569715972307e-06,
                "ram": 3.6105154309908675e-06,
                "gpu": 7.816950697999824e-06,
                "total": 1.8052035844963e-05
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 553954.140457253
            }
        },
        "warmup": {
            "memory": {
                "unit": "MB",
                "max_ram": 1292.333056,
                "max_global_vram": 681.050112,
                "max_process_vram": 0.0,
                "max_reserved": 25.165824,
                "max_allocated": 19.652608
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.3010641784667969,
                    0.014334976196289062
                ],
                "count": 2,
                "total": 0.31539915466308593,
                "mean": 0.15769957733154297,
                "p50": 0.15769957733154297,
                "p90": 0.27239125823974614,
                "p95": 0.2867277183532715,
                "p99": 0.2981968864440918,
                "stdev": 0.14336460113525393,
                "stdev_": 90.90994634300661
            },
            "throughput": {
                "unit": "samples/s",
                "value": 25.364684342752025
            },
            "energy": null,
            "efficiency": null
        },
        "train": {
            "memory": {
                "unit": "MB",
                "max_ram": 1292.333056,
                "max_global_vram": 681.050112,
                "max_process_vram": 0.0,
                "max_reserved": 25.165824,
                "max_allocated": 19.652608
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.013433856010437012,
                    0.013479935646057128,
                    0.013884415626525879
                ],
                "count": 3,
                "total": 0.04079820728302002,
                "mean": 0.01359940242767334,
                "p50": 0.013479935646057128,
                "p90": 0.013803519630432129,
                "p95": 0.013843967628479004,
                "p99": 0.013876326026916503,
                "stdev": 0.00020241084596242775,
                "stdev_": 1.488380442000475
            },
            "throughput": {
                "unit": "samples/s",
                "value": 441.19585635547026
            },
            "energy": null,
            "efficiency": null
        }
    }
}