config.json

{
  "_name_or_path": "vinai/phobert-base-v2",
  "architectures": [
    "RobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "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
}