cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_config.json

{
    "name": "cpu_training_transformers_fill-mask_google-bert/bert-base-uncased",
    "backend": {
        "name": "pytorch",
        "version": "2.4.0+cpu",
        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
        "task": "fill-mask",
        "library": "transformers",
        "model_type": "bert",
        "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": {},
        "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": 16757.342208,
        "system": "Linux",
        "machine": "x86_64",
        "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
        "processor": "x86_64",
        "python_version": "3.10.14",
        "optimum_benchmark_version": "0.4.0",
        "optimum_benchmark_commit": "12035129458b49eb93fa8919571e0352f4f4cb1e",
        "transformers_version": "4.44.0",
        "transformers_commit": null,
        "accelerate_version": "0.33.0",
        "accelerate_commit": null,
        "diffusers_version": "0.30.0",
        "diffusers_commit": null,
        "optimum_version": null,
        "optimum_commit": null,
        "timm_version": "1.0.8",
        "timm_commit": null,
        "peft_version": null,
        "peft_commit": null
    }
}