Upload config.json
Browse files- config.json +65 -0
config.json
ADDED
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "Luciano/bert-base-portuguese-cased-finetuned-peticoes",
|
3 |
+
"architectures": [
|
4 |
+
"BertForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"directionality": "bidi",
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.1,
|
11 |
+
"hidden_size": 768,
|
12 |
+
"id2label": {
|
13 |
+
"0": "Canais Internos",
|
14 |
+
"1": "Dano material",
|
15 |
+
"2": "Dano moral",
|
16 |
+
"3": "Desvio produtivo",
|
17 |
+
"4": "Financiamento ve\u00edculo",
|
18 |
+
"5": "Fraude",
|
19 |
+
"6": "Inexist\u00eancia de rela\u00e7\u00e3o jur\u00eddica/d\u00e9bito",
|
20 |
+
"7": "Inscri\u00e7\u00e3o indevida",
|
21 |
+
"8": "Invers\u00e3o do \u00f4nus da prova",
|
22 |
+
"9": "Justi\u00e7a gratuita",
|
23 |
+
"10": "Multa di\u00e1ria",
|
24 |
+
"11": "Produtos banc\u00e1rios",
|
25 |
+
"12": "Restitui\u00e7\u00e3o em dobro",
|
26 |
+
"13": "Tutela antecipada"
|
27 |
+
},
|
28 |
+
"initializer_range": 0.02,
|
29 |
+
"intermediate_size": 3072,
|
30 |
+
"label2id": {
|
31 |
+
"Canais Internos": 0,
|
32 |
+
"Dano material": 1,
|
33 |
+
"Dano moral": 2,
|
34 |
+
"Desvio produtivo": 3,
|
35 |
+
"Financiamento ve\u00edculo": 4,
|
36 |
+
"Fraude": 5,
|
37 |
+
"Inexist\u00eancia de rela\u00e7\u00e3o jur\u00eddica/d\u00e9bito": 6,
|
38 |
+
"Inscri\u00e7\u00e3o indevida": 7,
|
39 |
+
"Invers\u00e3o do \u00f4nus da prova": 8,
|
40 |
+
"Justi\u00e7a gratuita": 9,
|
41 |
+
"Multa di\u00e1ria": 10,
|
42 |
+
"Produtos banc\u00e1rios": 11,
|
43 |
+
"Restitui\u00e7\u00e3o em dobro": 12,
|
44 |
+
"Tutela antecipada": 13
|
45 |
+
},
|
46 |
+
"layer_norm_eps": 1e-12,
|
47 |
+
"max_position_embeddings": 512,
|
48 |
+
"model_type": "bert",
|
49 |
+
"num_attention_heads": 12,
|
50 |
+
"num_hidden_layers": 12,
|
51 |
+
"output_past": true,
|
52 |
+
"pad_token_id": 0,
|
53 |
+
"pooler_fc_size": 768,
|
54 |
+
"pooler_num_attention_heads": 12,
|
55 |
+
"pooler_num_fc_layers": 3,
|
56 |
+
"pooler_size_per_head": 128,
|
57 |
+
"pooler_type": "first_token_transform",
|
58 |
+
"position_embedding_type": "absolute",
|
59 |
+
"problem_type": "single_label_classification",
|
60 |
+
"torch_dtype": "float32",
|
61 |
+
"transformers_version": "4.17.0",
|
62 |
+
"type_vocab_size": 2,
|
63 |
+
"use_cache": true,
|
64 |
+
"vocab_size": 29794
|
65 |
+
}
|