5W1H_Recognizer / config.json
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{
"_name_or_path": "mrm8488/bert-spanish-cased-finetuned-ner",
"_num_labels": 9,
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "B-WHAT",
"1": "I-WHAT",
"2": "I-WHEN",
"3": "B-WHO",
"4": "B-WHEN",
"5": "I-WHY",
"6": "I-WHO",
"7": "I-HOW",
"8": "B-HOW",
"9": "B-WHERE",
"10": "I-WHERE",
"11": "B-WHY",
"12": "O"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-HOW": 8,
"B-WHAT": 0,
"B-WHEN": 4,
"B-WHERE": 9,
"B-WHO": 3,
"B-WHY": 11,
"I-HOW": 7,
"I-WHAT": 1,
"I-WHEN": 2,
"I-WHERE": 10,
"I-WHO": 6,
"I-WHY": 5,
"O": 12
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_past": true,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.40.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 31002
}