config.json

{
  "_name_or_path": "/mnt/software/flicc/All/output_96/model",
  "architectures": [
    "DebertaV2ForSequenceClassification"
  ],
  "attention_head_size": 64,
  "attention_probs_dropout_prob": 0.1,
  "conv_act": "gelu",
  "conv_kernel_size": 3,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1536,
  "id2label": {
    "0": "ad hominem",
    "1": "anecdote",
    "2": "cherry picking",
    "3": "conspiracy theory",
    "4": "fake experts",
    "5": "false choice",
    "6": "false equivalence",
    "7": "impossible expectations",
    "8": "misrepresentation",
    "9": "oversimplification",
    "10": "single cause",
    "11": "slothful induction"
  },
  "initializer_range": 0.02,
  "intermediate_size": 6144,
  "label2id": {
    "ad hominem": 0,
    "anecdote": 1,
    "single cause": 10,
    "slothful induction": 11,
    "cherry picking": 2,
    "conspiracy theory": 3,
    "fake experts": 4,
    "false choice": 5,
    "false equivalence": 6,
    "impossible expectations": 7,
    "misrepresentation": 8,
    "oversimplification": 9
  },
  "layer_norm_eps": 1e-07,
  "max_position_embeddings": 512,
  "max_relative_positions": -1,
  "model_type": "deberta-v2",
  "norm_rel_ebd": "layer_norm",
  "num_attention_heads": 24,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "pooler_dropout": 0,
  "pooler_hidden_act": "gelu",
  "pooler_hidden_size": 1536,
  "pos_att_type": [
    "p2c",
    "c2p"
  ],
  "position_biased_input": false,
  "position_buckets": 256,
  "relative_attention": true,
  "share_att_key": true,
  "torch_dtype": "float32",
  "transformers_version": "4.34.1",
  "type_vocab_size": 0,
  "use_cache": true,
  "vocab_size": 128100
}