{ "config": { "name": "cpu_training_transformers_token-classification_microsoft/deberta-v3-base", "backend": { "name": "pytorch", "version": "2.4.1+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": true }, "launcher": { "name": "process", "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", "device_isolation": false, "device_isolation_action": null, "numactl": false, "numactl_kwargs": {}, "start_method": "spawn" }, "environment": { "cpu": " AMD EPYC 7763 64-Core Processor", "cpu_count": 4, "cpu_ram_mb": 16766.7712, "system": "Linux", "machine": "x86_64", "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.15", "optimum_benchmark_version": "0.5.0", "optimum_benchmark_commit": "04d3ae334898d98d417419334aeb47e28011dd0a", "transformers_version": "4.45.0", "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": null, "peft_commit": null } }, "report": { "overall": { "memory": { "unit": "MB", "max_ram": 4378.488832, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 5, "total": 6.069426922000105, "mean": 1.213885384400021, "stdev": 0.07481096104704897, "p50": 1.185444010000026, "p90": 1.2932173322000267, "p95": 1.3272921286000268, "p99": 1.3545519657200271, "values": [ 1.361366925000027, 1.1909929430000261, 1.1775891810000303, 1.154033862999995, 1.185444010000026 ] }, "throughput": { "unit": "samples/s", "value": 8.23801005310121 }, "energy": { "unit": "kWh", "cpu": 0.00024779943677222385, "ram": 1.0364110057574771e-05, "gpu": 0, "total": 0.0002581635468297986 }, "efficiency": { "unit": "samples/kWh", "value": 38735.13562545209 } }, "warmup": { "memory": { "unit": "MB", "max_ram": 4378.488832, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 2, "total": 2.552359868000053, "mean": 1.2761799340000266, "stdev": 0.08518699100000049, "p50": 1.2761799340000266, "p90": 1.344329526800027, "p95": 1.352848225900027, "p99": 1.3596631851800272, "values": [ 1.361366925000027, 1.1909929430000261 ] }, "throughput": { "unit": "samples/s", "value": 3.134354250080159 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 4378.488832, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 3, "total": 3.5170670540000515, "mean": 1.1723556846666838, "stdev": 0.013346446382071194, "p50": 1.1775891810000303, "p90": 1.183873044200027, "p95": 1.1846585271000265, "p99": 1.1852869134200261, "values": [ 1.1775891810000303, 1.154033862999995, 1.185444010000026 ] }, "throughput": { "unit": "samples/s", "value": 5.117900717738132 }, "energy": null, "efficiency": null } } }