{ "config": { "name": "cpu_training_transformers_fill-mask_google-bert/bert-base-uncased", "backend": { "name": "pytorch", "version": "2.4.0+cpu", "_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": "cpu", "device_ids": null, "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": false, "device_isolation_action": "error", "numactl": false, "numactl_kwargs": {}, "start_method": "spawn" }, "environment": { "cpu": " AMD EPYC 7763 64-Core Processor", "cpu_count": 4, "cpu_ram_mb": 16757.342208, "system": "Linux", "machine": "x86_64", "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.14", "optimum_benchmark_version": "0.4.0", "optimum_benchmark_commit": "f58a585c7841c260a82e0bd723177e7f242fbb1f", "transformers_version": "4.44.0", "transformers_commit": null, "accelerate_version": "0.33.0", "accelerate_commit": null, "diffusers_version": "0.30.0", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.8", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "overall": { "memory": { "unit": "MB", "max_ram": 2508.181504, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 5, "total": 2.8742018620000636, "mean": 0.5748403724000127, "stdev": 0.04119890197005084, "p50": 0.5561725030000275, "p90": 0.6176626012000043, "p95": 0.6372539066000058, "p99": 0.6529269509200071, "values": [ 0.6568452120000075, 0.5468859410000277, 0.5561725030000275, 0.5588886849999994, 0.5554095210000014 ] }, "throughput": { "unit": "samples/s", "value": 17.39613374448468 }, "energy": null, "efficiency": null }, "warmup": { "memory": { "unit": "MB", "max_ram": 2508.181504, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 2, "total": 1.2037311530000352, "mean": 0.6018655765000176, "stdev": 0.054979635499989854, "p50": 0.6018655765000176, "p90": 0.6458492849000095, "p95": 0.6513472484500085, "p99": 0.6557456192900076, "values": [ 0.6568452120000075, 0.5468859410000277 ] }, "throughput": { "unit": "samples/s", "value": 6.646002290512927 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 2508.181504, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 3, "total": 1.6704707090000284, "mean": 0.5568235696666761, "stdev": 0.001493108923920439, "p50": 0.5561725030000275, "p90": 0.558345448600005, "p95": 0.5586170668000022, "p99": 0.55883436136, "values": [ 0.5561725030000275, 0.5588886849999994, 0.5554095210000014 ] }, "throughput": { "unit": "samples/s", "value": 10.775405939787534 }, "energy": null, "efficiency": null } } }