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{
"_name_or_path": "vinai/phobert-base-v2",
"architectures": [
"RobertaForSequenceClassification"
],
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"hidden_act": "gelu",
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"hidden_size": 768,
"id2label": {
"0": "B\u00ecnh th\u01b0\u1eddng",
"1": "Nh\u1ea1y c\u1ea3m",
"2": "N\u00f3i chuy\u1ec7n ri\u00eang",
"3": "Game",
"4": "Kh\u00f4ng ph\u00f9 h\u1ee3p l\u1ee9a tu\u1ed5i",
"5": "V\u00f4 ngh\u0129a",
"6": "Ph\u1ea3n h\u1ed3i ti\u00eau c\u1ef1c"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
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"Game": 3,
"Kh\u00f4ng ph\u00f9 h\u1ee3p l\u1ee9a tu\u1ed5i": 4,
"Nh\u1ea1y c\u1ea3m": 1,
"N\u00f3i chuy\u1ec7n ri\u00eang": 2,
"Ph\u1ea3n h\u1ed3i ti\u00eau c\u1ef1c": 6,
"V\u00f4 ngh\u0129a": 5
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 258,
"model_type": "roberta",
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"num_hidden_layers": 12,
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"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"tokenizer_class": "PhobertTokenizer",
"torch_dtype": "float32",
"transformers_version": "4.40.1",
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"use_cache": true,
"vocab_size": 64001
}
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