digidawfinal_E5small / config.json
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{
"_name_or_path": "intfloat/multilingual-e5-small",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 384,
"id2label": {
"0": "Ideologi",
"1": "Politik",
"2": "Ekonomi",
"3": "Sosial Budaya",
"4": "Pertahanan dan Keamanan",
"5": "Sumber Daya Alam",
"6": "Geografi",
"7": "Demografi"
},
"initializer_range": 0.02,
"intermediate_size": 1536,
"label2id": {
"Demografi": 7,
"Ekonomi": 2,
"Geografi": 6,
"Ideologi": 0,
"Pertahanan dan Keamanan": 4,
"Politik": 1,
"Sosial Budaya": 3,
"Sumber Daya Alam": 5
},
"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",
"problem_type": "single_label_classification",
"tokenizer_class": "XLMRobertaTokenizer",
"torch_dtype": "float32",
"transformers_version": "4.41.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 250037
}