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Chinese-text-classification

Safetensors
Chinese
bert
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Chinese-text-classification
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{
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "dtype": "float32",
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "politics",
    "1": "economy",
    "2": "technology",
    "3": "society",
    "4": "legal",
    "5": "culture",
    "6": "sports",
    "7": "health",
    "8": "education",
    "9": "life",
    "10": "military",
    "11": "world",
    "12": "science"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "culture": 5,
    "economy": 1,
    "education": 8,
    "health": 7,
    "legal": 4,
    "life": 9,
    "military": 10,
    "politics": 0,
    "science": 12,
    "society": 3,
    "sports": 6,
    "technology": 2,
    "world": 11
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "transformers_version": "4.57.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 21128
}