{ "config": { "name": "cpu_training_transformers_text-generation_hf-internal-testing/tiny-random-LlamaForCausalLM", "backend": { "name": "pytorch", "version": "2.5.1", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "model": "hf-internal-testing/tiny-random-LlamaForCausalLM", "processor": "hf-internal-testing/tiny-random-LlamaForCausalLM", "task": "text-generation", "library": "transformers", "model_type": "llama", "device": "cpu", "device_ids": null, "seed": 42, "inter_op_num_threads": null, "intra_op_num_threads": null, "model_kwargs": {}, "processor_kwargs": {}, "no_weights": true, "tp_plan": null, "device_map": null, "torch_dtype": null, "eval_mode": true, "to_bettertransformer": false, "low_cpu_mem_usage": null, "attn_implementation": null, "cache_implementation": null, "allow_tf32": false, "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", "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 7742 64-Core Processor", "cpu_count": 128, "cpu_ram_mb": 540671.643648, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.4.0-166-generic-x86_64-with-glibc2.31", "processor": "x86_64", "python_version": "3.10.18", "gpu": [ "NVIDIA A100-SXM4-80GB", "NVIDIA A100-SXM4-80GB", "NVIDIA A100-SXM4-80GB", "NVIDIA DGX Display", "NVIDIA A100-SXM4-80GB" ], "gpu_count": 5, "gpu_vram_mb": 347892350976, "optimum_benchmark_version": "0.6.0.dev0", "optimum_benchmark_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db", "transformers_version": "4.45.1", "transformers_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db", "accelerate_version": "1.10.0", "accelerate_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db", "diffusers_version": "0.34.0", "diffusers_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db", "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.19", "timm_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db", "peft_version": "0.17.0", "peft_commit": "61a08086def388b3e78bbf6b42ed20ab4af3f8db" }, "print_report": true, "log_report": true }, "report": { "overall": { "memory": { "unit": "MB", "max_ram": 764.45696, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.1563250799663365, 0.012235323898494244, 0.011144319083541632, 0.014274328015744686, 0.014069293159991503 ], "count": 5, "total": 0.20804834412410855, "mean": 0.04160966882482171, "p50": 0.014069293159991503, "p90": 0.09950477918609979, "p95": 0.1279149295762181, "p99": 0.1506430498883128, "stdev": 0.057369518695879806, "stdev_": 137.8754513461947 }, "throughput": { "unit": "samples/s", "value": 240.32875729197414 }, "energy": { "unit": "kWh", "cpu": 1.2375592967146077e-05, "ram": 2.0760073413276463e-05, "gpu": 3.035057984135392e-05, "total": 6.348624622177646e-05 }, "efficiency": { "unit": "samples/kWh", "value": 157514.4317883752 } }, "warmup": { "memory": { "unit": "MB", "max_ram": 764.45696, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.1563250799663365, 0.012235323898494244 ], "count": 2, "total": 0.16856040386483073, "mean": 0.08428020193241537, "p50": 0.08428020193241537, "p90": 0.14191610435955226, "p95": 0.14912059216294438, "p99": 0.15488418240565807, "stdev": 0.07204487803392112, "stdev_": 85.48256456681749 }, "throughput": { "unit": "samples/s", "value": 47.46073108851372 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 764.45696, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "values": [ 0.011144319083541632, 0.014274328015744686, 0.014069293159991503 ], "count": 3, "total": 0.03948794025927782, "mean": 0.013162646753092607, "p50": 0.014069293159991503, "p90": 0.014233321044594049, "p95": 0.014253824530169368, "p99": 0.014270227318629623, "stdev": 0.001429625769044644, "stdev_": 10.86123327520545 }, "throughput": { "unit": "samples/s", "value": 455.8353735801867 }, "energy": null, "efficiency": null } } }