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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": "normal",
"1": "th\u00f9 gh\u00e9t v\u00e0 b\u1ea1o l\u1ef1c",
"2": "ph\u00e2n bi\u1ec7t",
"3": "Self-harm",
"4": "c\u1edd b\u1ea1c",
"5": "m\u1ea1i d\u00e2m",
"6": "spam, fake news",
"7": "Ph\u1ea3n \u0111\u1ed9ng, ch\u00ednh tr\u1ecb"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Ph\u1ea3n \u0111\u1ed9ng, ch\u00ednh tr\u1ecb": 7,
"Self-harm": 3,
"c\u1edd b\u1ea1c": 4,
"m\u1ea1i d\u00e2m": 5,
"normal": 0,
"ph\u00e2n bi\u1ec7t": 2,
"spam, fake news": 6,
"th\u00f9 gh\u00e9t v\u00e0 b\u1ea1o l\u1ef1c": 1
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 258,
"model_type": "roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"tokenizer_class": "PhobertTokenizer",
"torch_dtype": "float32",
"transformers_version": "4.41.2",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 64001
}
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