# target descriptions on for cross-target grounding; check the aug booster
# separately once we have a baseline dev score
model_hf: aubmindlab/bert-base-arabertv02-twitter
train_csv: data/track2/train.csv
dev_csv: data/track2/dev.csv
out_dir: outputs/t2_arabert
seed: 42
max_len: 128
batch_size: 16
eval_batch_size: 64
lr: 2.0e-5
weight_decay: 0.01
epochs: 12
patience: 3
loss: ce
focal_gamma: 2.0
prep_mode: preserve
use_description: true   # short target description helps cross-target generalization
none_bias: 0.0