o 5ti4;@sddlZddlZddlZddlmZddlmZmZmZm Z ddl m Z ddl m Z mZmZddlZddlmZe r@ddlmZeeZgdZed d Gd d d ZdS) N) Namespace)asdict dataclassfieldfields)Path) TYPE_CHECKINGAnycast)simple_parse_args_string TaskManager) wandb_argswandb_config_argshf_hub_log_argsmetadata model_args gen_kwargsT)slotsc@seZdZUdZedddidZedBed<edddidZeed <ee dd id Z e ed <ee dd id Z ee eBed<edddidZ edBed<edddidZeed<edddidZedBed<edddidZedBed<edddidZedBed<edddidZee BdBed<edddidZedBed<ee ddid Ze ed <ed!dd"idZeed#<ed!dd$idZeed%<ed!dd&idZeed'<eddd(idZedBed)<ed!dd*idZeed+<eddd,idZedBed-<ed!dd.idZeeBed/<eddd0idZedBed1<ed!dd2idZ eed3<eddd4idZ!edBed5<ee dd6id Z"e ed7<eddd8idZ#edBed9<ee dd:id Z$e ed;<ee ddid Z&e ed?<ed@dAddBid Z'e edC<ed!ddDidZ(eedE<ed!ddFidZ)eedG<ee ddHid Z*e edI<e+dJe,dKdfdLdMZ-e+dNee.BdKdfdOdPZ/e0dNee.BdKe ee1ffdQdRZ2dSdTZ3dUdVZ4dWdXZ5dYdZZ6d`dIe dBdKd[fd\d]Z7d^d_Z8dS)aEvaluatorConfigaConfiguration for language model evaluation runs. This dataclass contains all parameters for configuring model evaluations via `simple_evaluate()` or the CLI. It supports initialization from: - CLI arguments (via `from_cli()`) - YAML configuration files (via `from_config()`) - Direct instantiation with keyword arguments The configuration handles argument parsing, validation, and preprocessing to ensure properly structured and validated. Example: # From CLI arguments config = EvaluatorConfig.from_cli(args) # From YAML file config = EvaluatorConfig.from_config("eval_config.yaml") # Direct instantiation config = EvaluatorConfig( model="hf", model_args={"pretrained": "gpt2"}, tasks=["hellaswag", "arc_easy"], num_fewshot=5 ) See individual field documentation for detailed parameter descriptions. 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