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": 1292.886016,
                "max_global_vram": 681.050112,
                "max_process_vram": 0.0,
                "max_reserved": 25.165824,
                "max_allocated": 19.652608
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.30745394897460937,
                    0.014625791549682618,
                    0.013782015800476074,
                    0.01355673599243164,
                    0.013744128227233888
                ],
                "count": 5,
                "total": 0.36316262054443355,
                "mean": 0.07263252410888671,
                "p50": 0.013782015800476074,
                "p90": 0.1903226860046387,
                "p95": 0.24888831748962398,
                "p99": 0.2957408226776123,
                "stdev": 0.11741129148205136,
                "stdev_": 161.65112382165705
            },
            "throughput": {
                "unit": "samples/s",
                "value": 137.67936778582205
            },
            "energy": {
                "unit": "kWh",
                "cpu": 6.5820146666663645e-06,
                "ram": 3.587947758453492e-06,
                "gpu": 8.099173146000052e-06,
                "total": 1.826913557111991e-05
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 547371.2733189266
            }
        },
        "warmup": {
            "memory": {
                "unit": "MB",
                "max_ram": 1292.886016,
                "max_global_vram": 681.050112,
                "max_process_vram": 0.0,
                "max_reserved": 25.165824,
                "max_allocated": 19.652608
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.30745394897460937,
                    0.014625791549682618
                ],
                "count": 2,
                "total": 0.322079740524292,
                "mean": 0.161039870262146,
                "p50": 0.161039870262146,
                "p90": 0.27817113323211673,
                "p95": 0.292812541103363,
                "p99": 0.3045256674003601,
                "stdev": 0.14641407871246337,
                "stdev_": 90.91790652471697
            },
            "throughput": {
                "unit": "samples/s",
                "value": 24.838569439286484
            },
            "energy": null,
            "efficiency": null
        },
        "train": {
            "memory": {
                "unit": "MB",
                "max_ram": 1292.886016,
                "max_global_vram": 681.050112,
                "max_process_vram": 0.0,
                "max_reserved": 25.165824,
                "max_allocated": 19.652608
            },
            "latency": {
                "unit": "s",
                "values": [
                    0.013782015800476074,
                    0.01355673599243164,
                    0.013744128227233888
                ],
                "count": 3,
                "total": 0.0410828800201416,
                "mean": 0.0136942933400472,
                "p50": 0.013744128227233888,
                "p90": 0.013774438285827638,
                "p95": 0.013778227043151856,
                "p99": 0.01378125804901123,
                "stdev": 9.848988091445927e-05,
                "stdev_": 0.7192038206632998
            },
            "throughput": {
                "unit": "samples/s",
                "value": 438.13870865857467
            },
            "energy": null,
            "efficiency": null
        }
    }
}