my_nergrit_model / config.json
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bryanahusna/my-nergrit-model
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{
"_name_or_path": "indolem/indobert-base-uncased",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_ids": 0,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "B-CRD",
"1": "B-DAT",
"2": "B-EVT",
"3": "B-FAC",
"4": "B-GPE",
"5": "B-LAN",
"6": "B-LAW",
"7": "B-LOC",
"8": "B-MON",
"9": "B-NOR",
"10": "B-ORD",
"11": "B-ORG",
"12": "B-PER",
"13": "B-PRC",
"14": "B-PRD",
"15": "B-QTY",
"16": "B-REG",
"17": "B-TIM",
"18": "B-WOA",
"19": "I-CRD",
"20": "I-DAT",
"21": "I-EVT",
"22": "I-FAC",
"23": "I-GPE",
"24": "I-LAN",
"25": "I-LAW",
"26": "I-LOC",
"27": "I-MON",
"28": "I-NOR",
"29": "I-ORD",
"30": "I-ORG",
"31": "I-PER",
"32": "I-PRC",
"33": "I-PRD",
"34": "I-QTY",
"35": "I-REG",
"36": "I-TIM",
"37": "I-WOA",
"38": "O"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-CRD": 0,
"B-DAT": 1,
"B-EVT": 2,
"B-FAC": 3,
"B-GPE": 4,
"B-LAN": 5,
"B-LAW": 6,
"B-LOC": 7,
"B-MON": 8,
"B-NOR": 9,
"B-ORD": 10,
"B-ORG": 11,
"B-PER": 12,
"B-PRC": 13,
"B-PRD": 14,
"B-QTY": 15,
"B-REG": 16,
"B-TIM": 17,
"B-WOA": 18,
"I-CRD": 19,
"I-DAT": 20,
"I-EVT": 21,
"I-FAC": 22,
"I-GPE": 23,
"I-LAN": 24,
"I-LAW": 25,
"I-LOC": 26,
"I-MON": 27,
"I-NOR": 28,
"I-ORD": 29,
"I-ORG": 30,
"I-PER": 31,
"I-PRC": 32,
"I-PRD": 33,
"I-QTY": 34,
"I-REG": 35,
"I-TIM": 36,
"I-WOA": 37,
"O": 38
},
"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": 0,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.33.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 31923
}