{ "config": { "name": "cuda_training_transformers_text-classification_FacebookAI/roberta-base", "backend": { "name": "pytorch", "version": "2.2.2+rocm5.7", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "text-classification", "library": "transformers", "model": "FacebookAI/roberta-base", "processor": "FacebookAI/roberta-base", "device": "cuda", "device_ids": "0", "seed": 42, "inter_op_num_threads": null, "intra_op_num_threads": null, "model_kwargs": {}, "processor_kwargs": {}, "hub_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": true, "device_isolation_action": "error", "numactl": false, "numactl_kwargs": {}, "start_method": "spawn" }, "environment": { "cpu": " AMD EPYC 7763 64-Core Processor", "cpu_count": 128, "cpu_ram_mb": 1082015.236096, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.12", "gpu": [ "Advanced Micro Devices, Inc. [AMD/ATI]" ], "gpu_count": 1, "gpu_vram_mb": 68702699520, "optimum_benchmark_version": "0.3.1", "optimum_benchmark_commit": "79990507b694d513bac81e140baff3af23a6bff7", "transformers_version": "4.42.3", "transformers_commit": null, "accelerate_version": "0.31.0", "accelerate_commit": null, "diffusers_version": "0.29.2", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.7", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "overall": { "memory": { "unit": "MB", "max_ram": 1123.057664, "max_global_vram": 67681.325056, "max_process_vram": 302945.959936, "max_reserved": 2707.423232, "max_allocated": 2497.900032 }, "latency": { "unit": "s", "count": 5, "total": 0.7806842079162598, "mean": 0.15613684158325197, "stdev": 0.2217467620018978, "p50": 0.04510548782348633, "p90": 0.37821858825683596, "p95": 0.488924021911621, "p99": 0.5774883688354492, "values": [ 0.5996294555664062, 0.04610228729248047, 0.04510548782348633, 0.04508036804199219, 0.044766609191894534 ] }, "throughput": { "unit": "samples/s", "value": 64.0463832789138 }, "energy": null, "efficiency": null }, "warmup": { "memory": { "unit": "MB", "max_ram": 1123.057664, "max_global_vram": 67681.325056, "max_process_vram": 302945.959936, "max_reserved": 2707.423232, "max_allocated": 2497.900032 }, "latency": { "unit": "s", "count": 2, "total": 0.6457317428588867, "mean": 0.32286587142944334, "stdev": 0.2767635841369629, "p50": 0.32286587142944334, "p90": 0.5442767387390137, "p95": 0.5719530971527099, "p99": 0.594094183883667, "values": [ 0.5996294555664062, 0.04610228729248047 ] }, "throughput": { "unit": "samples/s", "value": 12.389045588158826 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 1123.057664, "max_global_vram": 67681.325056, "max_process_vram": 302945.959936, "max_reserved": 2707.423232, "max_allocated": 2497.900032 }, "latency": { "unit": "s", "count": 3, "total": 0.13495246505737304, "mean": 0.044984155019124346, "stdev": 0.00015416958425579544, "p50": 0.04508036804199219, "p90": 0.0451004638671875, "p95": 0.045102975845336915, "p99": 0.045104985427856445, "values": [ 0.04510548782348633, 0.04508036804199219, 0.044766609191894534 ] }, "throughput": { "unit": "samples/s", "value": 133.38029796156422 }, "energy": null, "efficiency": null } } }