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": "2.3.1+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": "5",
            "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": "warn",
            "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": "0.34.2",
            "accelerate_commit": null,
            "diffusers_version": "0.30.3",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.9",
            "timm_commit": null,
            "peft_version": "0.12.0",
            "peft_commit": null
        }
    },
    "report": {
        "overall": {
            "memory": {
                "unit": "MB",
                "max_ram": 1317.789696,
                "max_global_vram": 68702.69952,
                "max_process_vram": 321464.221696,
                "max_reserved": 2497.708032,
                "max_allocated": 2195.345408
            },
            "latency": {
                "unit": "s",
                "count": 5,
                "total": 0.7135323638916016,
                "mean": 0.14270647277832033,
                "stdev": 0.20442227366278706,
                "p50": 0.04034374237060547,
                "p90": 0.3474062042236329,
                "p95": 0.4494782791137695,
                "p99": 0.531135939025879,
                "values": [
                    0.5515503540039063,
                    0.04118997955322266,
                    0.04034374237060547,
                    0.040105342864990234,
                    0.04034294509887695
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 70.07390628688553
            },
            "energy": null,
            "efficiency": null
        },
        "warmup": {
            "memory": {
                "unit": "MB",
                "max_ram": 1317.789696,
                "max_global_vram": 68702.69952,
                "max_process_vram": 321464.221696,
                "max_reserved": 2497.708032,
                "max_allocated": 2195.345408
            },
            "latency": {
                "unit": "s",
                "count": 2,
                "total": 0.592740333557129,
                "mean": 0.2963701667785645,
                "stdev": 0.2551801872253418,
                "p50": 0.2963701667785645,
                "p90": 0.5005143165588379,
                "p95": 0.526032335281372,
                "p99": 0.5464467502593995,
                "values": [
                    0.5515503540039063,
                    0.04118997955322266
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 13.496635115060803
            },
            "energy": null,
            "efficiency": null
        },
        "train": {
            "memory": {
                "unit": "MB",
                "max_ram": 1317.789696,
                "max_global_vram": 68702.69952,
                "max_process_vram": 321464.221696,
                "max_reserved": 2497.708032,
                "max_allocated": 2195.345408
            },
            "latency": {
                "unit": "s",
                "count": 3,
                "total": 0.12079203033447267,
                "mean": 0.04026401011149089,
                "stdev": 0.00011219515807920384,
                "p50": 0.04034294509887695,
                "p90": 0.040343582916259765,
                "p95": 0.04034366264343262,
                "p99": 0.0403437264251709,
                "values": [
                    0.04034374237060547,
                    0.040105342864990234,
                    0.04034294509887695
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 149.01645373588033
            },
            "energy": null,
            "efficiency": null
        }
    }
}