{ "config": { "name": "cpu_training_transformers_multiple-choice_FacebookAI/roberta-base", "backend": { "name": "pytorch", "version": "2.3.1+cpu", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "multiple-choice", "library": "transformers", "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": {}, "hub_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", "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": 16757.338112, "system": "Linux", "machine": "x86_64", "platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.14", "optimum_benchmark_version": "0.2.1", "optimum_benchmark_commit": "074fc31a7e13e70facbebbf8b363a0c312f75f69", "transformers_version": "4.42.3", "transformers_commit": null, "accelerate_version": "0.31.0", "accelerate_commit": null, "diffusers_version": "0.29.2", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.7", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "overall": { "memory": { "unit": "MB", "max_ram": 2847.776768, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 5, "total": 3.7145281029999637, "mean": 0.7429056205999928, "stdev": 0.04645202241528254, "p50": 0.7314853809999988, "p90": 0.793191900999983, "p95": 0.8132519949999789, "p99": 0.8293000701999756, "values": [ 0.8333120889999748, 0.7330116189999956, 0.7314853809999988, 0.708829258999998, 0.7078897549999965 ] }, "throughput": { "unit": "samples/s", "value": 13.460660039055433 }, "energy": null, "efficiency": null }, "warmup": { "memory": { "unit": "MB", "max_ram": 2847.776768, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 2, "total": 1.5663237079999703, "mean": 0.7831618539999852, "stdev": 0.05015023499998961, "p50": 0.7831618539999852, "p90": 0.8232820419999769, "p95": 0.8282970654999758, "p99": 0.832309084299975, "values": [ 0.8333120889999748, 0.7330116189999956 ] }, "throughput": { "unit": "samples/s", "value": 5.107501060693995 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 2847.776768, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 3, "total": 2.1482043949999934, "mean": 0.7160681316666645, "stdev": 0.010908386672530265, "p50": 0.708829258999998, "p90": 0.7269541565999986, "p95": 0.7292197687999987, "p99": 0.7310322585599988, "values": [ 0.7314853809999988, 0.708829258999998, 0.7078897549999965 ] }, "throughput": { "unit": "samples/s", "value": 8.379090947721506 }, "energy": null, "efficiency": null } } }