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{
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "O",
"1": "MAD",
"2": "PM",
"3": "HA",
"4": "AB",
"5": "KN",
"6": "PP",
"7": "HD",
"8": "PC",
"9": "PAD",
"10": "HP",
"11": "UO",
"12": "SN",
"13": "NN",
"14": "VB",
"15": "DT",
"16": "RO",
"17": "IE",
"18": "PN",
"19": "IN",
"20": "PS",
"21": "PL",
"22": "RG",
"23": "JJ",
"24": "MID",
"25": "HS"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"AB": 4,
"DT": 15,
"HA": 3,
"HD": 7,
"HP": 10,
"HS": 25,
"IE": 17,
"IN": 19,
"JJ": 23,
"KN": 5,
"MAD": 1,
"MID": 24,
"NN": 13,
"O": 0,
"PAD": 9,
"PC": 8,
"PL": 21,
"PM": 2,
"PN": 18,
"PP": 6,
"PS": 20,
"RG": 22,
"RO": 16,
"SN": 12,
"UO": 11,
"VB": 14
},
"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,
"type_vocab_size": 2,
"vocab_size": 50325
}