super_scirep / examples /fewshot_classification.py
Haoyu He
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import sys
sys.path.append('../')
from evaluation.encoders import Model
from evaluation.few_shot_evaluator import FewShotEvaluator, 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="[CLF]", 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="[CLF]")
evaluator = FewShotEvaluator("drsm", SupervisedTask.CLASSIFICATION, ("allenai/scirepeval", "drsm"),
("allenai/scirepeval_test", "drsm"), model=model, metrics=("f1_macro",),
sample_size=16, num_iterations=50)
embeddings = evaluator.generate_embeddings()
evaluator.evaluate(embeddings)