| # 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 | |