my_awesome_ner_model / config.json
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{
"_name_or_path": "dslim/bert-large-NER",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"directionality": "bidi",
"eos_token_ids": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"id2label": {
"0": "O",
"1": "B-MIS",
"2": "I-MIS",
"3": "B-PER",
"4": "I-PER",
"5": "B-ORG",
"6": "I-ORG",
"7": "B-LOC",
"8": "I-LOC",
"9": "B-JOB_TITLE",
"10": "I-JOB_TITLE"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"B-JOB_TITLE": 9,
"B-LOC": 7,
"B-MIS": 1,
"B-ORG": 5,
"B-PER": 3,
"I-JOB_TITLE": 10,
"I-LOC": 8,
"I-MIS": 2,
"I-ORG": 6,
"I-PER": 4,
"O": 0
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"output_past": true,
"pad_token_id": 0,
"pooler_fc_size": 768,
"pooler_num_attention_heads": 12,
"pooler_num_fc_layers": 3,
"pooler_size_per_head": 128,
"pooler_type": "first_token_transform",
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.34.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 28996
}