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{
  "_name_or_path": "albert-base-v2",
  "architectures": [
    "AlbertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0,
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  "gap_size": 0,
  "hidden_act": "gelu_new",
  "hidden_dropout_prob": 0,
  "hidden_size": 768,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2",
    "3": "LABEL_3",
    "4": "LABEL_4",
    "5": "LABEL_5",
    "6": "LABEL_6",
    "7": "LABEL_7",
    "8": "LABEL_8",
    "9": "LABEL_9",
    "10": "LABEL_10",
    "11": "LABEL_11",
    "12": "LABEL_12",
    "13": "LABEL_13",
    "14": "LABEL_14",
    "15": "LABEL_15",
    "16": "LABEL_16",
    "17": "LABEL_17",
    "18": "LABEL_18",
    "19": "LABEL_19",
    "20": "LABEL_20",
    "21": "LABEL_21",
    "22": "LABEL_22",
    "23": "LABEL_23",
    "24": "LABEL_24",
    "25": "LABEL_25",
    "26": "LABEL_26",
    "27": "LABEL_27"
  },
  "initializer_range": 0.02,
  "inner_group_num": 1,
  "intermediate_size": 3072,
  "label2id": {
    "LABEL_0": 0,
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    "LABEL_3": 3,
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    "LABEL_9": 9
  },
  "layer_norm_eps": 1e-12,
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  "model_type": "albert",
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  "num_memory_blocks": 0,
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  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
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  "type_vocab_size": 2,
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}