gliner_config.json

{
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    "pruned_heads": {},
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  "ent_token": "<<ENT>>",
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  "fine_tune": true,
  "freeze_token_rep": false,
  "fuse_layers": false,
  "has_rnn": true,
  "hidden_size": 768,
  "label_smoothing": 0,
  "labels_encoder": "BAAI/bge-small-en-v1.5",
  "labels_encoder_config": {
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    "add_cross_attention": false,
    "architectures": [
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    "pruned_heads": {},
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    "tie_encoder_decoder": false,
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  "log_dir": "models-base_2/",
  "loss_alpha": -1,
  "loss_gamma": 0,
  "loss_reduction": "sum",
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  "lr_others": "5e-5",
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  "max_len": 512,
  "max_neg_type_ratio": 1,
  "max_types": 128,
  "max_width": 12,
  "model_name": "microsoft/deberta-v3-base",
  "model_type": "gliner",
  "name": "span level gliner for entity linking",
  "num_post_fusion_layers": 1,
  "num_steps": 123750,
  "post_fusion_schema": "",
  "prev_path": null,
  "random_drop": true,
  "root_dir": "gliner_logs",
  "save_total_limit": 3,
  "scheduler_type": "cosine",
  "sep_token": "<<SEP>>",
  "shuffle_types": true,
  "size_sup": -1,
  "span_mode": "markerV0",
  "subtoken_pooling": "first",
  "train_batch_size": 8,
  "train_data": "dataset_with_negatives.json",
  "transformers_version": "4.45.2",
  "val_data_dir": "none",
  "vocab_size": -1,
  "warmup_ratio": 0.1,
  "weight_decay_encoder": 0.01,
  "weight_decay_other": 0.01,
  "words_splitter_type": "whitespace"
}