{ "config": { "name": "cpu_training_transformers_fill-mask_google-bert/bert-base-uncased", "backend": { "name": "pytorch", "version": "2.3.1+cpu", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "fill-mask", "library": "transformers", "model": "google-bert/bert-base-uncased", "processor": "google-bert/bert-base-uncased", "device": "cpu", "device_ids": null, "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": false, "device_isolation_action": "error", "numactl": false, "numactl_kwargs": {}, "start_method": "spawn" }, "environment": { "cpu": " AMD EPYC 7763 64-Core Processor", "cpu_count": 4, "cpu_ram_mb": 16757.338112, "system": "Linux", "machine": "x86_64", "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.14", "optimum_benchmark_version": "0.3.1", "optimum_benchmark_commit": "c31e63ddb94c29460ba90ff599147e94ff80543a", "transformers_version": "4.42.4", "transformers_commit": null, "accelerate_version": "0.32.1", "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": 2758.156288, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 5, "total": 3.1715415660000303, "mean": 0.634308313200006, "stdev": 0.04302197123154489, "p50": 0.6157440310000197, "p90": 0.6788645328000144, "p95": 0.6994744634000198, "p99": 0.7159624078800243, "values": [ 0.7200843940000254, 0.6170347409999977, 0.6074694529999647, 0.6157440310000197, 0.6112089470000228 ] }, "throughput": { "unit": "samples/s", "value": 15.765204068588115 }, "energy": null, "efficiency": null }, "warmup": { "memory": { "unit": "MB", "max_ram": 2758.156288, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 2, "total": 1.337119135000023, "mean": 0.6685595675000116, "stdev": 0.05152482650001389, "p50": 0.6685595675000116, "p90": 0.7097794287000226, "p95": 0.7149319113500241, "p99": 0.7190538974700251, "values": [ 0.7200843940000254, 0.6170347409999977 ] }, "throughput": { "unit": "samples/s", "value": 5.983012127038225 }, "energy": null, "efficiency": null }, "train": { "memory": { "unit": "MB", "max_ram": 2758.156288, "max_global_vram": null, "max_process_vram": null, "max_reserved": null, "max_allocated": null }, "latency": { "unit": "s", "count": 3, "total": 1.8344224310000072, "mean": 0.6114741436666691, "stdev": 0.003383283141540571, "p50": 0.6112089470000228, "p90": 0.6148370142000203, "p95": 0.61529052260002, "p99": 0.6156533293200198, "values": [ 0.6074694529999647, 0.6157440310000197, 0.6112089470000228 ] }, "throughput": { "unit": "samples/s", "value": 9.812352757912787 }, "energy": null, "efficiency": null } } }