polibert-malaysia / 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": "Economic Concerns",
"1": "Racial discrimination or polarization",
"2": "Leadership weaknesses",
"3": "Development and infrastructure gaps",
"4": "Corruption",
"5": "Political instablility",
"6": "Socials and Public safety",
"7": "Administration",
"8": "Education",
"9": "Religion issues",
"10": "Environmental"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Economic Concerns": 0,
"Racial discrimination or polarization": 1,
"Leadership weaknesses": 2,
"Development and infrastructure gaps": 3,
"Corruption": 4,
"Political instablility": 5,
"Socials and Public safety": 6,
"Administration": 7,
"Education": 8,
"Religion issues": 9,
"Environmental": 10
},
"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",
"torch_dtype": "float32",
"transformers_version": "4.18.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}