| import sys | |
| sys.path.append('../') | |
| from evaluation.encoders import Model | |
| from evaluation.evaluator import SupervisedEvaluator, SupervisedTask | |
| #default no control codes | |
| model = Model(base_checkpoint="allenai/specter") | |
| #default control codes | |
| # model = Model(base_checkpoint="../lightning_logs/full_run/scincl_ctrl/checkpoints/", task_id="[RGN]", use_ctrl_codes=True) | |
| #single adapters | |
| # model = Model(base_checkpoint="malteos/scincl", variant="adapters", | |
| # adapters_load_from="../lightning_logs/full_run/scincl_adapters/checkpoints/", task_id="[RGN]") | |
| evaluator = SupervisedEvaluator("max hIndex", SupervisedTask.REGRESSION, ("allenai/scirepeval", "peer_review_score_hIndex"), | |
| ("allenai/scirepeval_test", "hIndex"), model, metrics=("pearsonr","kendalltau")) | |
| embeddings = evaluator.generate_embeddings() | |
| evaluator.evaluate(embeddings) | |