{ "config": { "name": "cuda_training_transformers_text-generation_hf-internal-testing/tiny-random-LlamaForCausalLM", "backend": { "name": "pytorch", "version": "2.5.1+cu124", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "text-generation", "library": "transformers", "model_type": "llama", "model": "hf-internal-testing/tiny-random-LlamaForCausalLM", "processor": "hf-internal-testing/tiny-random-LlamaForCausalLM", "device": "cuda", "device_ids": "0", "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": true, "device_isolation_action": "error", "numactl": false, "numactl_kwargs": {}, "start_method": "spawn" }, "environment": { "cpu": " AMD EPYC 7R32", "cpu_count": 16, "cpu_ram_mb": 66697.248768, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.10.228-219.884.amzn2.x86_64-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.12", "gpu": [ "NVIDIA A10G" ], "gpu_count": 1, "gpu_vram_mb": 24146608128, "optimum_benchmark_version": "0.5.0.dev0", "optimum_benchmark_commit": null, "transformers_version": "4.47.0", "transformers_commit": null, "accelerate_version": "1.2.0", "accelerate_commit": null, "diffusers_version": "0.31.0", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.12", "timm_commit": null, "peft_version": "0.14.0", "peft_commit": null }, "print_report": true, "log_report": true }, "report": { "overall": { "memory": { "unit": "MB", "max_ram": 1389.879296, "max_global_vram": 699.92448, "max_process_vram": 0.0, "max_reserved": 44.040192, "max_allocated": 42.173952 }, "latency": { "unit": "s", "values": [ 0.26703256225585936, 0.00923033618927002, 0.008251392364501953, 0.008461312294006347, 0.008274975776672364 ], "count": 5, "total": 0.30125057888031004, "mean": 0.060250115776062006, "p50": 0.008461312294006347, "p90": 0.16391167182922364, "p95": 0.21547211704254143, "p99": 0.2567204732131958, "stdev": 0.10339183784201357, "stdev_": 171.60438035721123 }, "throughput": { "unit": "samples/s", "value": 165.97478479822445 }, "energy": { "unit": "kWh", "cpu": 6.008218967361343e-06, "ram": 3.2733115090143295e-06, "gpu": 8.236117699999927e-06, "total": 1.7517648176375598e-05 }, "efficiency": { "unit": "samples/kWh", "value": 570852.8850057657 } }, "warmup": { "memory": { "unit": "MB", "max_ram": 1389.879296, "max_global_vram": 699.92448, "max_process_vram": 0.0, "max_reserved": 44.040192, "max_allocated": 42.173952 }, "latency": { "unit": "s", "values": [ 0.26703256225585936, 0.00923033618927002 ], "count": 2, "total": 0.27626289844512936, "mean": 0.13813144922256468, "p50": 0.13813144922256468, "p90": 0.24125233964920043, "p95": 0.2541424509525299, "p99": 0.26445453999519347, "stdev": 0.12890111303329466, "stdev_": 93.31771566777843 }, "throughput": { "unit": "samples/s", "value": 28.957923937763 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 1389.879296, "max_global_vram": 699.92448, "max_process_vram": 0.0, "max_reserved": 44.040192, "max_allocated": 42.173952 }, "latency": { "unit": "s", "values": [ 0.008251392364501953, 0.008461312294006347, 0.008274975776672364 ], "count": 3, "total": 0.02498768043518066, "mean": 0.008329226811726887, "p50": 0.008274975776672364, "p90": 0.00842404499053955, "p95": 0.008442678642272949, "p99": 0.008457585563659668, "stdev": 9.389346908118055e-05, "stdev_": 1.1272771315218122 }, "throughput": { "unit": "samples/s", "value": 720.3549783939703 }, "energy": null, "efficiency": null } } }