{ "config": { "name": "cpu_training_transformers_multiple-choice_FacebookAI/roberta-base", "backend": { "name": "pytorch", "version": "2.4.1+cpu", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "multiple-choice", "library": "transformers", "model_type": "roberta", "model": "FacebookAI/roberta-base", "processor": "FacebookAI/roberta-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": 16766.7712, "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": "0.4.0", "optimum_benchmark_commit": "fc3a166f9420c9b1a0f6e1d49eeeaf9b2024c19e", "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": 2855.28064, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 5, "total": 3.8315907590001075, "mean": 0.7663181518000215, "stdev": 0.06225489113079274, "p50": 0.7409650450000527, "p90": 0.8306574038000122, "p95": 0.8604295274000264, "p99": 0.8842472262800379, "values": [ 0.8902016510000408, 0.7409650450000527, 0.7240845260000128, 0.734998504000032, 0.7413410329999692 ] }, "throughput": { "unit": "samples/s", "value": 13.049410321954113 }, "energy": null, "efficiency": null }, "warmup": { "memory": { "unit": "MB", "max_ram": 2855.28064, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 2, "total": 1.6311666960000935, "mean": 0.8155833480000467, "stdev": 0.07461830299999406, "p50": 0.8155833480000467, "p90": 0.875277990400042, "p95": 0.8827398207000414, "p99": 0.8887092849400409, "values": [ 0.8902016510000408, 0.7409650450000527 ] }, "throughput": { "unit": "samples/s", "value": 4.904465018576827 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 2855.28064, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 3, "total": 2.200424063000014, "mean": 0.7334746876666713, "stdev": 0.007126863294290064, "p50": 0.734998504000032, "p90": 0.7400725271999817, "p95": 0.7407067800999755, "p99": 0.7412141824199705, "values": [ 0.7240845260000128, 0.734998504000032, 0.7413410329999692 ] }, "throughput": { "unit": "samples/s", "value": 8.180241391952041 }, "energy": null, "efficiency": null } } }