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tiny-bert-master-classifier

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tiny-bert-master-classifier
File size: 2,113 Bytes 
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{
  "_name_or_path": "huawei-noah/TinyBERT_General_4L_312D",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "cell": {},
  "classifier_dropout": null,
  "emb_size": 312,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 312,
  "id2label": {
    "0": "addSpend",
    "1": "cashATM",
    "10": "greeting",
    "11": "howToAddLentMoney",
    "12": "howToAddRefund",
    "13": "howToEdit",
    "14": "howWillYouTrack",
    "15": "income",
    "16": "incompleteSpend",
    "17": "invalidInput",
    "18": "investment",
    "19": "lentMoney",
    "2": "creditCard",
    "20": "loan",
    "21": "money",
    "22": "moneyPending",
    "23": "negative",
    "24": "questions",
    "25": "refund",
    "26": "showExpenses",
    "27": "stop",
    "28": "thanks",
    "29": "wtf",
    "3": "currentBalance",
    "30": "zeroinp",
    "4": "cvtEMI",
    "5": "edit",
    "6": "expenses",
    "7": "general",
    "8": "goal",
    "9": "goodbye"
  },
  "initializer_range": 0.02,
  "intermediate_size": 1200,
  "label2id": {
    "addSpend": 0,
    "cashATM": 1,
    "creditCard": 2,
    "currentBalance": 3,
    "cvtEMI": 4,
    "edit": 5,
    "expenses": 6,
    "general": 7,
    "goal": 8,
    "goodbye": 9,
    "greeting": 10,
    "howToAddLentMoney": 11,
    "howToAddRefund": 12,
    "howToEdit": 13,
    "howWillYouTrack": 14,
    "income": 15,
    "incompleteSpend": 16,
    "invalidInput": 17,
    "investment": 18,
    "lentMoney": 19,
    "loan": 20,
    "money": 21,
    "moneyPending": 22,
    "negative": 23,
    "questions": 24,
    "refund": 25,
    "showExpenses": 26,
    "stop": 27,
    "thanks": 28,
    "wtf": 29,
    "zeroinp": 30
  },
  "layer_norm_eps": 1e-12,
  "max_length": 256,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 4,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "pre_trained": "",
  "structure": [],
  "torch_dtype": "float32",
  "transformers_version": "4.20.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}