gliner_config.json

{
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    "hidden_act": "gelu",
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    "initializer_range": 0.02,
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    "is_decoder": false,
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    "label2id": {
      "LABEL_0": 0,
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    "layer_norm_eps": 1e-07,
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    "max_position_embeddings": 512,
    "max_relative_positions": -1,
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    "norm_rel_ebd": "layer_norm",
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    "output_attentions": false,
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    "pad_token_id": 0,
    "pooler_dropout": 0,
    "pooler_hidden_act": "gelu",
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    "pos_att_type": [
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      "c2p"
    ],
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    "position_buckets": 256,
    "prefix": null,
    "problem_type": null,
    "pruned_heads": {},
    "relative_attention": true,
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    "sep_token_id": null,
    "share_att_key": true,
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    "temperature": 1.0,
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    "tie_encoder_decoder": false,
    "tie_word_embeddings": true,
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    "top_k": 50,
    "top_p": 1.0,
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    "type_vocab_size": 0,
    "typical_p": 1.0,
    "use_bfloat16": false,
    "vocab_size": 128100
  },
  "ent_token": "<<ENT>>",
  "entity_linking": "span_linking",
  "eval_every": 4000,
  "fine_tune": true,
  "freeze_labels_encoder": true,
  "freeze_token_rep": true,
  "fuse_layers": false,
  "has_rnn": true,
  "hidden_size": 768,
  "label_smoothing": 0,
  "labels_encoder": "BAAI/bge-base-en-v1.5",
  "labels_encoder_config": {
    "_name_or_path": "BAAI/bge-base-en-v1.5",
    "add_cross_attention": false,
    "architectures": [
      "BertModel"
    ],
    "attention_probs_dropout_prob": 0.1,
    "bad_words_ids": null,
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    "decoder_start_token_id": null,
    "diversity_penalty": 0.0,
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    "gradient_checkpointing": false,
    "hidden_act": "gelu",
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    "label2id": {
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    "num_return_sequences": 1,
    "output_attentions": false,
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    "output_scores": false,
    "pad_token_id": 0,
    "position_embedding_type": "absolute",
    "prefix": null,
    "problem_type": null,
    "pruned_heads": {},
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    "repetition_penalty": 1.0,
    "return_dict": true,
    "return_dict_in_generate": false,
    "sep_token_id": null,
    "suppress_tokens": null,
    "task_specific_params": null,
    "temperature": 1.0,
    "tf_legacy_loss": false,
    "tie_encoder_decoder": false,
    "tie_word_embeddings": true,
    "tokenizer_class": null,
    "top_k": 50,
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    "torch_dtype": "float32",
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    "use_bfloat16": false,
    "use_cache": true,
    "vocab_size": 30522
  },
  "log_dir": "models-base-2/",
  "loss_alpha": 0.8,
  "loss_gamma": 2,
  "loss_reduction": "sum",
  "lr_encoder": "1e-5",
  "lr_others": "4e-5",
  "matryoshka_dims": null,
  "matryoshka_weights": null,
  "max_grad_norm": 10.0,
  "max_len": 768,
  "max_neg_type_ratio": 5,
  "max_types": 256,
  "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": 250000,
  "post_fusion_schema": "",
  "prev_path": null,
  "random_drop": true,
  "root_dir": "gliner_logs",
  "save_total_limit": 20,
  "scheduler_type": "cosine",
  "sep_token": "<<SEP>>",
  "shuffle_types": true,
  "size_sup": -1,
  "span_mode": "markerV0",
  "subtoken_pooling": "first",
  "train_batch_size": 4,
  "train_data": "final_dataset_1m.json",
  "transformers_version": "4.45.2",
  "val_data_dir": null,
  "vocab_size": -1,
  "warmup_ratio": 0.1,
  "weight_decay_encoder": 0.01,
  "weight_decay_other": 0.02,
  "words_splitter_type": "whitespace"
}