config.json

{
  "_name_or_path": "AutoNLP",
  "_num_labels": 3,
  "activation_dropout": 0.0,
  "architectures": [
    "FunnelForSequenceClassification"
  ],
  "attention_dropout": 0.1,
  "attention_type": "relative_shift",
  "block_repeats": [
    1,
    1,
    1
  ],
  "block_sizes": [
    6,
    6,
    6
  ],
  "d_head": 64,
  "d_inner": 3072,
  "d_model": 768,
  "embedding_size": 768,
  "hidden_act": "gelu_new",
  "hidden_dropout": 0.1,
  "id2label": {
    "0": "\uae0d\uc815",
    "1": "\ubd80\uc815",
    "2": "\uc911\ub9bd"
  },
  "initializer_range": 0.1,
  "initializer_std": 0.02,
  "label2id": {
    "\uae0d\uc815": 0,
    "\ubd80\uc815": 1,
    "\uc911\ub9bd": 2
  },
  "layer_norm_eps": 1e-09,
  "max_length": 96,
  "max_position_embeddings": 512,
  "model_type": "funnel",
  "n_head": 12,
  "num_decoder_layers": 2,
  "padding": "max_length",
  "pool_q_only": true,
  "pooling_type": "mean",
  "problem_type": "single_label_classification",
  "rel_attn_type": "factorized",
  "separate_cls": true,
  "transformers_version": "4.8.0",
  "truncate_seq": true,
  "type_vocab_size": 3,
  "vocab_size": 42000
}