{ "config": { "name": "cpu_training_transformers_token-classification_microsoft/deberta-v3-base", "backend": { "name": "pytorch", "version": "2.4.0+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": "error", "numactl": false, "numactl_kwargs": {}, "start_method": "spawn" }, "environment": { "cpu": " AMD EPYC 7763 64-Core Processor", "cpu_count": 4, "cpu_ram_mb": 16757.342208, "system": "Linux", "machine": "x86_64", "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.14", "optimum_benchmark_version": "0.4.0", "optimum_benchmark_commit": "1d3ac8856ad0ec2784b68a0c854b7df5e86f1ef5", "transformers_version": "4.44.0", "transformers_commit": null, "accelerate_version": "0.33.0", "accelerate_commit": null, "diffusers_version": "0.30.0", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.8", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "overall": { "memory": { "unit": "MB", "max_ram": 4396.593152, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 5, "total": 5.877877346000048, "mean": 1.1755754692000095, "stdev": 0.07684589186153935, "p50": 1.1368294139999762, "p90": 1.2613571762000333, "p95": 1.293785844600029, "p99": 1.3197287793200256, "values": [ 1.326214513000025, 1.164071171000046, 1.1343751140000222, 1.1368294139999762, 1.1163871339999787 ] }, "throughput": { "unit": "samples/s", "value": 8.506472159380033 }, "energy": null, "efficiency": null }, "warmup": { "memory": { "unit": "MB", "max_ram": 4396.593152, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 2, "total": 2.490285684000071, "mean": 1.2451428420000354, "stdev": 0.08107167099998946, "p50": 1.2451428420000354, "p90": 1.310000178800027, "p95": 1.3181073459000259, "p99": 1.3245930795800251, "values": [ 1.326214513000025, 1.164071171000046 ] }, "throughput": { "unit": "samples/s", "value": 3.21248282933942 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 4396.593152, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 3, "total": 3.387591661999977, "mean": 1.129197220666659, "stdev": 0.009113346894467094, "p50": 1.1343751140000222, "p90": 1.1363385539999853, "p95": 1.1365839839999807, "p99": 1.136780327999977, "values": [ 1.1343751140000222, 1.1368294139999762, 1.1163871339999787 ] }, "throughput": { "unit": "samples/s", "value": 5.313509358850265 }, "energy": null, "efficiency": null } } }