config.json

{
  "_name_or_path": "VietAI/vit5-base",
  "architectures": [
    "T5ForSequenceClassification"
  ],
  "classifier_dropout": 0.0,
  "d_ff": 3072,
  "d_kv": 64,
  "d_model": 768,
  "decoder_start_token_id": 0,
  "dense_act_fn": "relu",
  "dropout_rate": 0.1,
  "eos_token_id": 1,
  "feed_forward_proj": "relu",
  "id2label": {
    "0": "dat_dai",
    "1": "trat_tu",
    "2": "van_hoa"
  },
  "initializer_factor": 1.0,
  "is_encoder_decoder": true,
  "is_gated_act": false,
  "label2id": {
    "dat_dai": 0,
    "trat_tu": 1,
    "van_hoa": 2
  },
  "layer_norm_epsilon": 1e-06,
  "model_type": "t5",
  "n_positions": 512,
  "num_decoder_layers": 12,
  "num_heads": 12,
  "num_layers": 12,
  "output_past": true,
  "pad_token_id": 0,
  "problem_type": "single_label_classification",
  "relative_attention_max_distance": 128,
  "relative_attention_num_buckets": 32,
  "torch_dtype": "float32",
  "transformers_version": "4.41.2",
  "use_cache": true,
  "vocab_size": 36096
}