{ "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": false }, "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": 16766.767104, "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": "0.4.0", "optimum_benchmark_commit": "46db89c5b1a1dcc2a31d7473680ba370c6eac68f", "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": null, "peft_commit": null } }, "report": { "overall": { "memory": { "unit": "MB", "max_ram": 4412.952576, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 5, "total": 6.180416409999964, "mean": 1.2360832819999927, "stdev": 0.07673891142162086, "p50": 1.2252380589999916, "p90": 1.3212843221999946, "p95": 1.3488338185999964, "p99": 1.3708734157199978, "values": [ 1.3763833149999982, 1.2252380589999916, 1.2386358329999894, 1.1485959180000123, 1.1915632849999724 ] }, "throughput": { "unit": "samples/s", "value": 8.090069775735433 }, "energy": null, "efficiency": null }, "warmup": { "memory": { "unit": "MB", "max_ram": 4412.952576, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 2, "total": 2.60162137399999, "mean": 1.300810686999995, "stdev": 0.0755726280000033, "p50": 1.300810686999995, "p90": 1.3612687893999975, "p95": 1.368826052199998, "p99": 1.3748718624399983, "values": [ 1.3763833149999982, 1.2252380589999916 ] }, "throughput": { "unit": "samples/s", "value": 3.075005486943709 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 4412.952576, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 3, "total": 3.578795035999974, "mean": 1.192931678666658, "stdev": 0.03677137427602296, "p50": 1.1915632849999724, "p90": 1.229221323399986, "p95": 1.2339285781999876, "p99": 1.237694382039989, "values": [ 1.2386358329999894, 1.1485959180000123, 1.1915632849999724 ] }, "throughput": { "unit": "samples/s", "value": 5.029625843037559 }, "energy": null, "efficiency": null } } }