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unit: def train_single_dataset()
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unit: def update_parser()
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id: 167
unit: def multilingual_en()
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unit: def __init__()
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unit: def normalize_answer()
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unit: def string_f1_score()
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id: 172
unit: def read_tsv()
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unit: def get_pet_mlm_logits()
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unit: def default_hp_space_optuna()
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unit: def create_samples_multilabel()
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unit: def get_formatted_ds_metrics()
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unit: def get_train_batch()
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unit: def store_test_lbl()
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unit: def flush_file()
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unit: def get_avg_dict_val_store()
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unit: def test_evaluation()
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unit: def bl_student_preprocess()
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unit: def main()
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unit: def post_release_work()
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unit: def _reset_library_root_logger()
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unit: def train_all_datasets()
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id: 230
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id: 239
unit: def export_onnx()
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unit: def extract_results()
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unit: def get_version()
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unit: def prepend_aspects()
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id: 279
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unit: def print()
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unit: def freeze()
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unit: def create_fewshot_splits()
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unit: def fix_train_amzn()
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id: 293
unit: def get_logits()
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id: 294
unit: def set_global_logging_level()
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unit: def main()
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unit: def create_results_path()
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unit: def __init__()
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unit: def set_lock()
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unit: def from_dict()
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unit: def setfit_args()
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unit: def generate_model_card()
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unit: def forward()
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unit: def device()
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id: 349
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id: 381
unit: def __exit__()
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id: 382
unit: def is_progress_bar_enabled()
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id: 383
unit: def load_data_splits()
file: src/setfit/utils.py
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id: 384
unit: def summary()
file: src/setfit/utils.py
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id: 385
unit: def embedding_batch_size()
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id: 386
unit: def classifier_batch_size()
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id: 387
unit: def embedding_num_epochs()
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id: 388
unit: def classifier_num_epochs()
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id: 389
unit: def body_embedding_learning_rate()
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id: 390
unit: def body_classifier_learning_rate()
file: src/setfit/training_args.py
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id: 391
unit: def to_dict()
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id: 392
unit: def copy()
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id: 393
unit: def update()
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id: 394
unit: def to_json_string()
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id: 395
unit: def __init__()
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id: 396
unit: def add_model_card_callback()
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id: 397
unit: def setfit_model()
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id: 398
unit: def setfit_args()
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id: 399
unit: def _set_logs_prefix()
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id: 400
unit: def args()
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id: 401
unit: def model()
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id: 402
unit: def add_callback()
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id: 403
unit: def pop_callback()
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id: 404
unit: def remove_callback()
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id: 405
unit: def unfreeze()
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id: 406
unit: def dataset_to_parameters()
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id: 407
unit: def get_dataset()
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id: 408
unit: def _set_logs_prefix()
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id: 409
unit: def train_classifier()
file: src/setfit/trainer.py
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id: 410
unit: def __len__()
file: src/setfit/sampler.py
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id: 411
unit: def is_optuna_available()
file: src/setfit/integrations.py
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id: 412
unit: def on_init_end()
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id: 413
unit: def on_train_begin()
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id: 414
unit: def set_best_model_step()
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id: 415
unit: def device()
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id: 416
unit: def __repr__()
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id: 417
unit: def has_differentiable_head()
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id: 418
unit: def unfreeze()
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id: 419
unit: def encode()
file: src/setfit/modeling.py
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id: 420
unit: def _output_type_conversion()
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id: 421
unit: def generate_model_card()
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id: 422
unit: def __len__()
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id: 423
unit: def get_sample_sizes()
file: scripts/plot_summary_comparison.py
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id: 424
unit: def get_dataset_reader()
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id: 425
unit: def get_num_lbl_tok()
file: scripts/adapet/ADAPET/src/data/GenericReader.py
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size: 2 LOC
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id: 426
unit: def pets()
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id: 427
unit: def prepare_eval_pet_batch()
file: scripts/adapet/ADAPET/src/data/GenericReader.py
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size: 2 LOC
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number of parameters: 3

id: 428
unit: def store_test_lbl()
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size: 2 LOC
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id: 429
unit: def get_num_lbl_tok()
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id: 430
unit: def pets()
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id: 431
unit: def prepare_eval_pet_batch()
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id: 432
unit: def store_test_lbl()
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id: 433
unit: def get_num_lbl_tok()
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id: 434
unit: def pets()
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id: 435
unit: def prepare_eval_pet_batch()
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id: 436
unit: def store_test_lbl()
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id: 437
unit: def get_num_lbl_tok()
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id: 438
unit: def pets()
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id: 439
unit: def store_test_lbl()
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id: 440
unit: def __init__()
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unit: def __len__()
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id: 442
unit: def __getitem__()
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id: 443
unit: def get_num_lbl_tok()
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id: 444
unit: def pets()
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size: 2 LOC
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id: 445
unit: def prepare_eval_pet_batch()
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id: 446
unit: def get_num_lbl_tok()
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id: 447
unit: def pets()
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id: 448
unit: def store_test_lbl()
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id: 449
unit: def pets()
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id: 450
unit: def get_num_lbl_tok()
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id: 451
unit: def prepare_eval_pet_batch()
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id: 452
unit: def store_test_lbl()
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id: 453
unit: def get_num_lbl_tok()
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id: 454
unit: def pets()
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id: 455
unit: def store_test_lbl()
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id: 456
unit: def get_num_lbl_tok()
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id: 457
unit: def pets()
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id: 458
unit: def prepare_eval_pet_batch()
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id: 459
unit: def store_test_lbl()
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id: 460
unit: def add_batch()
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id: 461
unit: def flush_file()
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id: 462
unit: def get_sample_sizes()
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id: 463
unit: def get_tfew_sample_sizes()
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id: 464
unit: def main()
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id: 465
unit: def tokenize_dataset()
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id: 466
unit: def tokenize_dataset()
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id: 467
unit: def tokenize_dataset()
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id: 468
unit: def tokenize_dataset()
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id: 469
unit: def combine_requirements()
file: setup.py
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