{ "config": { "name": "cpu_training_transformers_token-classification_microsoft/deberta-v3-base", "backend": { "name": "pytorch", "version": "2.4.0+cpu", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "token-classification", "library": "transformers", "model_type": "deberta-v2", "model": "microsoft/deberta-v3-base", "processor": "microsoft/deberta-v3-base", "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": "67d850c9fa4c56f9fdc4ebb17d7e32fb16d42bf9", "transformers_version": "4.44.2", "transformers_commit": null, "accelerate_version": "0.33.0", "accelerate_commit": null, "diffusers_version": "0.30.1", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.9", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "overall": { "memory": { "unit": "MB", "max_ram": 4405.641216, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 5, "total": 5.759913003000008, "mean": 1.1519826006000016, "stdev": 0.08185481644607104, "p50": 1.1139280639999924, "p90": 1.2360248068000033, "p95": 1.275757501399994, "p99": 1.3075436570799865, "values": [ 1.3154901959999847, 1.1051836809999713, 1.1139280639999924, 1.116826723000031, 1.1084843390000287 ] }, "throughput": { "unit": "samples/s", "value": 8.68068666557253 }, "energy": null, "efficiency": null }, "warmup": { "memory": { "unit": "MB", "max_ram": 4405.641216, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 2, "total": 2.420673876999956, "mean": 1.210336938499978, "stdev": 0.1051532575000067, "p50": 1.210336938499978, "p90": 1.2944595444999834, "p95": 1.3049748702499842, "p99": 1.3133871308499847, "values": [ 1.3154901959999847, 1.1051836809999713 ] }, "throughput": { "unit": "samples/s", "value": 3.3048648461124963 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 4405.641216, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 3, "total": 3.3392391260000522, "mean": 1.1130797086666842, "stdev": 0.0034581905460841036, "p50": 1.1139280639999924, "p90": 1.1162469912000232, "p95": 1.1165368571000271, "p99": 1.1167687498200303, "values": [ 1.1139280639999924, 1.116826723000031, 1.1084843390000287 ] }, "throughput": { "unit": "samples/s", "value": 5.39044953679658 }, "energy": null, "efficiency": null } } }