{ "config": { "name": "cpu_training_transformers_text-classification_FacebookAI/roberta-base", "backend": { "name": "pytorch", "version": "2.4.1+cpu", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "text-classification", "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": "c321302e3b007186f91357f56a141e530fe6b122", "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": 2865.389568, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 5, "total": 3.135132879999958, "mean": 0.6270265759999916, "stdev": 0.04965271156487715, "p50": 0.6022427589999779, "p90": 0.6794898089999947, "p95": 0.7027182419999917, "p99": 0.7213009883999894, "values": [ 0.7259466749999888, 0.6022427589999779, 0.5961902129999999, 0.6098045100000036, 0.6009487229999877 ] }, "throughput": { "unit": "samples/s", "value": 15.948287333837241 }, "energy": null, "efficiency": null }, "warmup": { "memory": { "unit": "MB", "max_ram": 2865.389568, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 2, "total": 1.3281894339999667, "mean": 0.6640947169999833, "stdev": 0.061851958000005425, "p50": 0.6640947169999833, "p90": 0.7135762833999877, "p95": 0.7197614791999882, "p99": 0.7247096358399887, "values": [ 0.7259466749999888, 0.6022427589999779 ] }, "throughput": { "unit": "samples/s", "value": 6.023237194341512 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 2865.389568, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 3, "total": 1.8069434459999911, "mean": 0.602314481999997, "stdev": 0.0056412908650212, "p50": 0.6009487229999877, "p90": 0.6080333526000004, "p95": 0.608918931300002, "p99": 0.6096273942600032, "values": [ 0.5961902129999999, 0.6098045100000036, 0.6009487229999877 ] }, "throughput": { "unit": "samples/s", "value": 9.961573528959294 }, "energy": null, "efficiency": null } } }