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{
"_name_or_path": "hfl/minirbt-h256",
"architectures": [
"BertForSequenceClassification"
],
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"classifier_dropout": null,
"hidden_act": "gelu",
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"hidden_size": 256,
"id2label": {
"0": "sports",
"1": "entertainment",
"2": "property",
"3": "education",
"4": "fashion",
"5": "affairs",
"6": "game",
"7": "sociology",
"8": "technology",
"9": "economics"
},
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"intermediate_size": 1024,
"label2id": {
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"economics": 9,
"education": 3,
"entertainment": 1,
"fashion": 4,
"game": 6,
"property": 2,
"sociology": 7,
"sports": 0,
"technology": 8
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 8,
"num_hidden_layers": 6,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.28.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 21128
}
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