{ "config": { "name": "cuda_training_transformers_token-classification_microsoft/deberta-v3-base", "backend": { "name": "pytorch", "version": "2.3.1+cu121", "_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": "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": 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 7R32", "cpu_count": 16, "cpu_ram_mb": 66697.293824, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.10.219-208.866.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": "0.3.1", "optimum_benchmark_commit": null, "transformers_version": "4.43.2", "transformers_commit": null, "accelerate_version": "0.33.0", "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": 1169.719296, "max_global_vram": 4597.481472, "max_process_vram": 0.0, "max_reserved": 3948.937216, "max_allocated": 3702.95552 }, "latency": { "unit": "s", "count": 5, "total": 1.1372738265991211, "mean": 0.22745476531982423, "stdev": 0.2846357721464216, "p50": 0.08522649383544922, "p90": 0.512469793701172, "p95": 0.6545975067138671, "p99": 0.7682996771240235, "values": [ 0.7967252197265625, 0.08522649383544922, 0.08439193725585938, 0.08484352111816407, 0.08608665466308593 ] }, "throughput": { "unit": "samples/s", "value": 43.96478563963695 }, "energy": null, "efficiency": null }, "warmup": { "memory": { "unit": "MB", "max_ram": 1169.719296, "max_global_vram": 4597.481472, "max_process_vram": 0.0, "max_reserved": 3948.937216, "max_allocated": 3702.95552 }, "latency": { "unit": "s", "count": 2, "total": 0.8819517135620117, "mean": 0.44097585678100587, "stdev": 0.35574936294555665, "p50": 0.44097585678100587, "p90": 0.7255753471374512, "p95": 0.7611502834320069, "p99": 0.7896102324676514, "values": [ 0.7967252197265625, 0.08522649383544922 ] }, "throughput": { "unit": "samples/s", "value": 9.070791378917713 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 1169.719296, "max_global_vram": 4597.481472, "max_process_vram": 0.0, "max_reserved": 3948.937216, "max_allocated": 3702.95552 }, "latency": { "unit": "s", "count": 3, "total": 0.2553221130371094, "mean": 0.0851073710123698, "stdev": 0.0007165795362197902, "p50": 0.08484352111816407, "p90": 0.08583802795410156, "p95": 0.08596234130859375, "p99": 0.0860617919921875, "values": [ 0.08439193725585938, 0.08484352111816407, 0.08608665466308593 ] }, "throughput": { "unit": "samples/s", "value": 70.49918154712991 }, "energy": null, "efficiency": null } } }