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DBERT_CleanDesc_v2

Text Classification
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distilbert
generated_from_keras_callback
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DBERT_CleanDesc_v2
File size: 1,044 Bytes
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{
  "_name_or_path": "distilbert-base-uncased",
  "activation": "gelu",
  "architectures": [
    "DistilBertForSequenceClassification"
  ],
  "attention_dropout": 0.1,
  "dim": 768,
  "dropout": 0.1,
  "hidden_dim": 3072,
  "id2label": {
    "0": "lincoln",
    "1": "toyota",
    "2": "cruise",
    "3": "autonomous",
    "4": "jaguar",
    "5": "ford",
    "6": "nissan",
    "7": "chevrolet",
    "8": "lexus",
    "9": "hyundai",
    "10": "mercedes-benz",
    "11": "chrysler"
  },
  "initializer_range": 0.02,
  "label2id": {
    "autonomous": 3,
    "chevrolet": 7,
    "chrysler": 11,
    "cruise": 2,
    "ford": 5,
    "hyundai": 9,
    "jaguar": 4,
    "lexus": 8,
    "lincoln": 0,
    "mercedes-benz": 10,
    "nissan": 6,
    "toyota": 1
  },
  "max_position_embeddings": 512,
  "model_type": "distilbert",
  "n_heads": 12,
  "n_layers": 6,
  "pad_token_id": 0,
  "qa_dropout": 0.1,
  "seq_classif_dropout": 0.2,
  "sinusoidal_pos_embds": false,
  "tie_weights_": true,
  "transformers_version": "4.27.4",
  "vocab_size": 30522
}