| import hydra | |
| from omegaconf import DictConfig | |
| from trainer.utils import seed_everything | |
| from model import get_model | |
| from evals import get_evaluators | |
| def main(cfg: DictConfig): | |
| """Entry point of the code to evaluate models | |
| Args: | |
| cfg (DictConfig): Config to train | |
| """ | |
| seed_everything(cfg.seed) | |
| model_cfg = cfg.model | |
| template_args = model_cfg.template_args | |
| assert model_cfg is not None, "Invalid model yaml passed in train config." | |
| model, tokenizer = get_model(model_cfg) | |
| eval_cfgs = cfg.eval | |
| evaluators = get_evaluators(eval_cfgs) | |
| for evaluator_name, evaluator in evaluators.items(): | |
| eval_args = { | |
| "template_args": template_args, | |
| "model": model, | |
| "tokenizer": tokenizer, | |
| } | |
| _ = evaluator.evaluate(**eval_args) | |
| if __name__ == "__main__": | |
| main() | |