| [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 | |