{ "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": 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": "1d52d2c35074aaaacac2a8342653779fa0d40c86", "transformers_version": "4.45.1", "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": 2880.67584, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.9055143670000234, 0.7579504530000349, 0.7561513680000189, 0.747479382999984, 0.7715234170000258 ], "count": 5, "total": 3.938618988000087, "mean": 0.7877237976000174, "p50": 0.7579504530000349, "p90": 0.8519179870000244, "p95": 0.8787161770000239, "p99": 0.9001547290000235, "stdev": 0.059396891900465244, "stdev_": 7.540319599513383 }, "throughput": { "unit": "samples/s", "value": 12.694804994424835 }, "energy": { "unit": "kWh", "cpu": 0.00016603619857222108, "ram": 6.944263321323765e-06, "gpu": 0, "total": 0.00017298046189354486 }, "efficiency": { "unit": "samples/kWh", "value": 57809.99709755759 } }, "warmup": { "memory": { "unit": "MB", "max_ram": 2880.67584, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.9055143670000234, 0.7579504530000349 ], "count": 2, "total": 1.6634648200000584, "mean": 0.8317324100000292, "p50": 0.8317324100000292, "p90": 0.8907579756000246, "p95": 0.898136171300024, "p99": 0.9040387278600235, "stdev": 0.07378195699999424, "stdev_": 8.870876752294846 }, "throughput": { "unit": "samples/s", "value": 4.8092390676466 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 2880.67584, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.7561513680000189, 0.747479382999984, 0.7715234170000258 ], "count": 3, "total": 2.2751541680000287, "mean": 0.7583847226666762, "p50": 0.7561513680000189, "p90": 0.7684490072000244, "p95": 0.7699862121000252, "p99": 0.7712159760200257, "stdev": 0.009942159307685699, "stdev_": 1.3109651355747916 }, "throughput": { "unit": "samples/s", "value": 7.911551776652954 }, "energy": null, "efficiency": null } } }