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{
"_name_or_path": "neuralmind/bert-base-portuguese-cased",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"directionality": "bidi",
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "Muito Negativo",
"1": "Negativo",
"2": "Neutro",
"3": "Positivo",
"4": "Muito Positivo"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Muito Negativo": 0,
"Muito Positivo": 4,
"Negativo": 1,
"Neutro": 2,
"Positivo": 3
},
"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,
"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",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.35.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 29794
}