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segmentation-observations
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{
"_name_or_path": "neuralmind/bert-base-portuguese-cased",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
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"directionality": "bidi",
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"hidden_size": 768,
"id2label": {
"0": "Pre\u00e7o alto",
"1": "Estoque cheio",
"2": "Compra com externo",
"3": "Comprou recente",
"4": "Possui outro cadastro",
"5": "Nao atende",
"6": "Telefone incorreto",
"7": "Encerrou as opera\u00e7\u00f5es",
"8": "Cota\u00e7\u00e3o",
"9": "Sem credito",
"10": "Ligar outro dia"
},
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"intermediate_size": 3072,
"label2id": {
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"Cota\u00e7\u00e3o": 8,
"Encerrou as opera\u00e7\u00f5es": 7,
"Estoque cheio": 1,
"Ligar outro dia:": 10,
"Nao atende": 5,
"Possui outro cadastro": 4,
"Pre\u00e7o alto": 0,
"Sem credito": 9,
"Telefone incorreto": 6
},
"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
}