examples/classification.py

import sys

sys.path.append('../')

from evaluation.encoders import Model
from evaluation.evaluator import SupervisedEvaluator, SupervisedTask
from adapter_fusion import AdapterEncoder

# 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="../../phantasm/phantasm_new/lightning_logs/full_run/scincl_adapters/checkpoints/model/adapters",
              task_id="[CLF]")

evaluator = SupervisedEvaluator("biomimicry", SupervisedTask.CLASSIFICATION, ("allenai/scirepeval", "biomimicry"),
                                ("allenai/scirepeval_test", "biomimicry"), model, metrics=("f1",))

embeddings = evaluator.generate_embeddings()

evaluator.evaluate(embeddings)