{ "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", "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", "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": "0.2.0", "optimum_benchmark_commit": "14fc8ac8cd252f949be10158bdcefa6a3b7c596a", "transformers_version": "4.40.2", "transformers_commit": null, "accelerate_version": "0.30.1", "accelerate_commit": null, "diffusers_version": "0.27.2", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.3", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "overall": { "memory": { "unit": "MB", "max_ram": 1125.199872, "max_global_vram": 4135.804928, "max_process_vram": 320649.388032, "max_reserved": 2707.423232, "max_allocated": 2497.900032 }, "latency": { "unit": "s", "count": 5, "total": 0.7364233016967774, "mean": 0.14728466033935547, "stdev": 0.203969813686204, "p50": 0.045537494659423826, "p90": 0.35141076507568364, "p95": 0.45331732101440425, "p99": 0.5348425657653809, "values": [ 0.555223876953125, 0.04569109725952149, 0.0450616569519043, 0.045537494659423826, 0.044909175872802735 ] }, "throughput": { "unit": "samples/s", "value": 67.89573318062595 }, "energy": null, "efficiency": null }, "warmup": { "memory": { "unit": "MB", "max_ram": 1125.199872, "max_global_vram": 4135.804928, "max_process_vram": 320649.388032, "max_reserved": 2707.423232, "max_allocated": 2497.900032 }, "latency": { "unit": "s", "count": 2, "total": 0.6009149742126465, "mean": 0.30045748710632325, "stdev": 0.2547663898468018, "p50": 0.30045748710632325, "p90": 0.5042705989837647, "p95": 0.5297472379684448, "p99": 0.550128549156189, "values": [ 0.555223876953125, 0.04569109725952149 ] }, "throughput": { "unit": "samples/s", "value": 13.313031532426134 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 1125.199872, "max_global_vram": 4135.804928, "max_process_vram": 320649.388032, "max_reserved": 2707.423232, "max_allocated": 2497.900032 }, "latency": { "unit": "s", "count": 3, "total": 0.13550832748413086, "mean": 0.045169442494710284, "stdev": 0.0002675934937347271, "p50": 0.0450616569519043, "p90": 0.04544232711791992, "p95": 0.045489910888671874, "p99": 0.04552797790527344, "values": [ 0.0450616569519043, 0.045537494659423826, 0.044909175872802735 ] }, "throughput": { "unit": "samples/s", "value": 132.83316482603587 }, "energy": null, "efficiency": null } } }