scibert-uncased-topics / config.json
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{
"_name_or_path": "drive/MyDrive/Colab Notebooks/Multi-label/scibert-title-label8",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "Artificial intelligence",
"1": "Computer science",
"2": "Economics",
"3": "Engineering",
"4": "Mathematics",
"5": "Medicine",
"6": "Psychology",
"7": "Sociology"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Artificial intelligence": 0,
"Computer science": 1,
"Economics": 2,
"Engineering": 3,
"Mathematics": 4,
"Medicine": 5,
"Psychology": 6,
"Sociology": 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": "4.4.0.dev0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 31090
}