{
  "_name_or_path": "albert-base-v2",
  "architectures": [
    "AlbertForMultiLabelSequenceClassification"
  ],
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  "bos_token_id": 2,
  "classifier_dropout_prob": 0.1,
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  "gap_size": 0,
  "hidden_act": "gelu_new",
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  "hidden_size": 768,
  "id2label": {
    "0": "Java Developer",
    "1": "Software Developer",
    "2": "Software Engineer",
    "3": "Web Developer",
    "4": "PHP Developer",
    "5": "Graphic Designer",
    "6": "Software QA Engineer",
    "7": ".NET Developer",
    "8": "Database Admin/Dev",
    "9": "Programmer",
    "10": "IT Specialist",
    "11": "Senior Web Developer",
    "12": "Android Developer",
    "13": "iOS Developer"
  },
  "initializer_range": 0.02,
  "inner_group_num": 1,
  "intermediate_size": 3072,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_10": 10,
    "LABEL_11": 11,
    "LABEL_12": 12,
    "LABEL_13": 13,
    "LABEL_2": 2,
    "LABEL_3": 3,
    "LABEL_4": 4,
    "LABEL_5": 5,
    "LABEL_6": 6,
    "LABEL_7": 7,
    "LABEL_8": 8,
    "LABEL_9": 9
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "albert",
  "net_structure_type": 0,
  "num_attention_heads": 12,
  "num_hidden_groups": 1,
  "num_hidden_layers": 12,
  "num_memory_blocks": 0,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.24.0",
  "type_vocab_size": 2,
  "vocab_size": 30000
}