{ "config": { "name": "cuda_training_transformers_fill-mask_hf-internal-testing/tiny-random-BertModel", "backend": { "name": "pytorch", "version": "2.7.0+rocm6.3", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "model": "hf-internal-testing/tiny-random-BertModel", "processor": "hf-internal-testing/tiny-random-BertModel", "task": "fill-mask", "library": "transformers", "model_type": "bert", "device": "cuda", "device_ids": "5", "seed": 42, "inter_op_num_threads": null, "intra_op_num_threads": null, "model_kwargs": {}, "processor_kwargs": {}, "no_weights": true, "tp_plan": null, "device_map": null, "torch_dtype": null, "eval_mode": true, "to_bettertransformer": false, "low_cpu_mem_usage": null, "attn_implementation": null, "cache_implementation": null, "allow_tf32": false, "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", "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": 1082014.486528, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.15.0-131-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": "0.6.0.dev0", "optimum_benchmark_commit": null, "transformers_version": "4.51.3", "transformers_commit": null, "accelerate_version": "1.6.0", "accelerate_commit": null, "diffusers_version": "0.33.1", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.15", "timm_commit": null, "peft_version": null, "peft_commit": null }, "print_report": true, "log_report": true }, "report": { "overall": { "memory": { "unit": "MB", "max_ram": 2312.892416, "max_global_vram": 68702.69952, "max_process_vram": 0.0, "max_reserved": 81.788928, "max_allocated": 81.408512 }, "latency": { "unit": "s", "values": [ 1.0093866577148438, 0.016763652801513672, 0.015958213806152345, 0.01694365119934082, 0.015302056312561036 ], "count": 5, "total": 1.0743542318344115, "mean": 0.2148708463668823, "p50": 0.016763652801513672, "p90": 0.6124094551086428, "p95": 0.8108980564117431, "p99": 0.9696889374542237, "stdev": 0.3972583407726342, "stdev_": 184.8823828311885 }, "throughput": { "unit": "samples/s", "value": 46.53958491383912 }, "energy": null, "efficiency": null }, "warmup": { "memory": { "unit": "MB", "max_ram": 2312.892416, "max_global_vram": 68702.69952, "max_process_vram": 0.0, "max_reserved": 81.788928, "max_allocated": 81.408512 }, "latency": { "unit": "s", "values": [ 1.0093866577148438, 0.016763652801513672 ], "count": 2, "total": 1.0261503105163574, "mean": 0.5130751552581787, "p50": 0.5130751552581787, "p90": 0.9101243572235108, "p95": 0.9597555074691773, "p99": 0.9994604276657105, "stdev": 0.4963115024566651, "stdev_": 96.7327100855082 }, "throughput": { "unit": "samples/s", "value": 7.796128810772772 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 2312.892416, "max_global_vram": 68702.69952, "max_process_vram": 0.0, "max_reserved": 81.788928, "max_allocated": 81.408512 }, "latency": { "unit": "s", "values": [ 0.015958213806152345, 0.01694365119934082, 0.015302056312561036 ], "count": 3, "total": 0.0482039213180542, "mean": 0.01606797377268473, "p50": 0.015958213806152345, "p90": 0.016746563720703125, "p95": 0.01684510746002197, "p99": 0.016923942451477048, "stdev": 0.0006746573850309876, "stdev_": 4.1987707633547 }, "throughput": { "unit": "samples/s", "value": 373.41360428406307 }, "energy": null, "efficiency": null } } }