{ "config": { "name": "cpu_training_transformers_token-classification_microsoft/deberta-v3-base", "backend": { "name": "pytorch", "version": "2.4.1+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": 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": "ff8375e29bf6c9f4dd663743008514a92e97ca6a", "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": 4388.888576, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 5, "total": 6.172787452999955, "mean": 1.234557490599991, "stdev": 0.07700068172241203, "p50": 1.202778139999964, "p90": 1.3195981884000048, "p95": 1.3527215201999978, "p99": 1.3792201856399924, "values": [ 1.385844851999991, 1.179609907999975, 1.2202281930000254, 1.18432636, 1.202778139999964 ] }, "throughput": { "unit": "samples/s", "value": 8.100068304749447 }, "energy": null, "efficiency": null }, "warmup": { "memory": { "unit": "MB", "max_ram": 4388.888576, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 2, "total": 2.565454759999966, "mean": 1.282727379999983, "stdev": 0.10311747200000809, "p50": 1.282727379999983, "p90": 1.3652213575999894, "p95": 1.3755331047999904, "p99": 1.383782502559991, "values": [ 1.385844851999991, 1.179609907999975 ] }, "throughput": { "unit": "samples/s", "value": 3.1183555152615927 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 4388.888576, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 3, "total": 3.6073326929999894, "mean": 1.2024442309999965, "stdev": 0.014658763581458067, "p50": 1.202778139999964, "p90": 1.2167381824000132, "p95": 1.2184831877000193, "p99": 1.2198791919400243, "values": [ 1.2202281930000254, 1.18432636, 1.202778139999964 ] }, "throughput": { "unit": "samples/s", "value": 4.989836405976335 }, "energy": null, "efficiency": null } } }