[gnd-tib-core-xtransformer-en]
name = GND-tib-core XTransformer English
language = en
backend = xtransformer
analyzer = snowball(english)
vocab = gnd-tib-core
batch_size = 16
truncate_length = 256
learning_rate = 0.0001
num_train_epochs = 3
max_leaf_size = 1600
nr_splits = 256
threshold = 0.015
cn = 0.52
cp = 5.33
bootstrap_model = weighted-linear
loss_function = weighted-squared-hinge
max_active_matching_labels = 500
negative_sampling = tfn+man
warmup_steps = 200
ensemble_method = concat-only
post_processor = l3-hinge
cost_sensitive_ranker = True
rel_mode = induce
rel_norm = l1
neg_mining_chain = tfn
model_shortcut = FacebookAI/xlm-roberta-base