bert-competicao / config.json
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{
"_name_or_path": "bert-base-uncased",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "synthetic aperture radar",
"1": "access point",
"2": "multiple parallel instances",
"3": "deep belief network",
"4": "controlled natural language",
"5": "sensing application recently",
"6": "particle swarm optimization",
"7": "transformation error",
"8": "message passing interface",
"9": "certain natural language"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"access point": 1,
"certain natural language": 9,
"controlled natural language": 4,
"deep belief network": 3,
"message passing interface": 8,
"multiple parallel instances": 2,
"particle swarm optimization": 6,
"sensing application recently": 5,
"synthetic aperture radar": 0,
"transformation error": 7
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"transformers_version": "4.34.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}