config.json

{
  "_name_or_path": "funnel-transformer/xlarge",
  "activation_dropout": 0.0,
  "architectures": [
    "FunnelForTokenClassification"
  ],
  "attention_dropout": 0.1,
  "attention_type": "relative_shift",
  "block_repeats": [
    1,
    1,
    1
  ],
  "block_sizes": [
    10,
    10,
    10
  ],
  "d_head": 64,
  "d_inner": 4096,
  "d_model": 1024,
  "hidden_act": "gelu_new",
  "hidden_dropout": 0.1,
  "id2label": {
    "0": "O",
    "1": "B-PER",
    "2": "I-PER",
    "3": "B-ORG",
    "4": "I-ORG",
    "5": "B-LOC",
    "6": "I-LOC",
    "7": "B-MISC",
    "8": "I-MISC"
  },
  "initializer_range": 0.1,
  "initializer_std": null,
  "label2id": {
    "B-LOC": 5,
    "B-MISC": 7,
    "B-ORG": 3,
    "B-PER": 1,
    "I-LOC": 6,
    "I-MISC": 8,
    "I-ORG": 4,
    "I-PER": 2,
    "O": 0
  },
  "layer_norm_eps": 1e-09,
  "max_position_embeddings": 512,
  "model_type": "funnel",
  "n_head": 16,
  "num_decoder_layers": 2,
  "pool_q_only": true,
  "pooling_type": "mean",
  "rel_attn_type": "factorized",
  "separate_cls": true,
  "torch_dtype": "float32",
  "transformers_version": "4.20.1",
  "truncate_seq": true,
  "type_vocab_size": 3,
  "vocab_size": 30522
}