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": "In gi\u1ea5y ho\u00e3n ngh\u0129a v\u1ee5",
    "1": "Nh\u1eadp k\u1ebf ho\u1ea1ch h\u1ecdc t\u1eadp",
    "2": "\u0110\u0103ng k\u00fd h\u1ecdc ph\u1ea7n"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "In gi\u1ea5y ho\u00e3n ngh\u0129a v\u1ee5": 0,
    "Nh\u1eadp k\u1ebf ho\u1ea1ch h\u1ecdc t\u1eadp": 1,
    "\u0110\u0103ng k\u00fd h\u1ecdc ph\u1ea7n": 2
  },
  "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": "4.36.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 64001
}