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{
  "architectures": [
    "DebertaV2ForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "eos_token_id": 2,
  "hidden_act": "gelu",
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  "hidden_size": 768,
  "id2label": {
    "0": "B-acl",
    "1": "B-advcl",
    "2": "B-advmod",
    "3": "B-amod",
    "4": "B-aux",
    "5": "B-case",
    "6": "B-cc",
    "7": "B-ccomp",
    "8": "B-compound",
    "9": "B-cop",
    "10": "B-csubj",
    "11": "B-dep",
    "12": "B-det",
    "13": "B-discourse",
    "14": "B-dislocated",
    "15": "B-fixed",
    "16": "B-mark",
    "17": "B-nmod",
    "18": "B-nsubj",
    "19": "B-nummod",
    "20": "B-obj",
    "21": "B-obl",
    "22": "B-punct",
    "23": "B-root",
    "24": "I-acl",
    "25": "I-advcl",
    "26": "I-advmod",
    "27": "I-amod",
    "28": "I-aux",
    "29": "I-case",
    "30": "I-cc",
    "31": "I-ccomp",
    "32": "I-compound",
    "33": "I-csubj",
    "34": "I-dep",
    "35": "I-discourse",
    "36": "I-dislocated",
    "37": "I-fixed",
    "38": "I-mark",
    "39": "I-nmod",
    "40": "I-nsubj",
    "41": "I-nummod",
    "42": "I-obj",
    "43": "I-obl",
    "44": "I-punct",
    "45": "I-root"
  },
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    "B-csubj": 10,
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    "B-det": 12,
    "B-discourse": 13,
    "B-dislocated": 14,
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    "B-nummod": 19,
    "B-obj": 20,
    "B-obl": 21,
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    "I-acl": 24,
    "I-advcl": 25,
    "I-advmod": 26,
    "I-amod": 27,
    "I-aux": 28,
    "I-case": 29,
    "I-cc": 30,
    "I-ccomp": 31,
    "I-compound": 32,
    "I-csubj": 33,
    "I-dep": 34,
    "I-discourse": 35,
    "I-dislocated": 36,
    "I-fixed": 37,
    "I-mark": 38,
    "I-nmod": 39,
    "I-nsubj": 40,
    "I-nummod": 41,
    "I-obj": 42,
    "I-obl": 43,
    "I-punct": 44,
    "I-root": 45
  },
  "layer_norm_eps": 1e-07,
  "max_position_embeddings": 512,
  "max_relative_positions": -1,
  "model_type": "deberta-v2",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "pooler_dropout": 0,
  "pooler_hidden_act": "gelu",
  "pooler_hidden_size": 768,
  "pos_att_type": null,
  "position_biased_input": true,
  "relative_attention": false,
  "tokenizer_class": "BertJapaneseTokenizer",
  "torch_dtype": "float32",
  "transformers_version": "4.19.4",
  "type_vocab_size": 0,
  "vocab_size": 32000
}