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uzbek-news-category-classifier

Text Classification
Transformers
PyTorch
Safetensors
Uzbek
bert
uzbek
cyrillic
news category classifier
Inference Endpoints
Model card Files Community
1
uzbek-news-category-classifier
File size: 2,070 Bytes 
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{
  "_name_or_path": "/home/b/workspace/nlp/nlp-showcase/out/02-news-cateogry-classifier//checkpoint-2886",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "\u0441\u0430\u043b\u043e\u043c\u0430\u0442\u043b\u0438\u043a",
    "1": "\u0436\u0438\u043d\u043e\u044f\u0442",
    "2": "\u0441\u0438\u0451\u0441\u0430\u0442",
    "3": "\u043c\u0430\u0434\u0430\u043d\u0438\u044f\u0442",
    "4": "\u0444\u0430\u043d \u0432\u0430 \u0442\u0435\u0445\u043d\u0438\u043a\u0430",
    "5": "\u0434\u0443\u043d\u0451",
    "6": "\u0441\u043f\u043e\u0440\u0442",
    "7": "\u0436\u0430\u043c\u0438\u044f\u0442",
    "8": "\u0438\u049b\u0442\u0438\u0441\u043e\u0434\u0438\u0451\u0442",
    "9": "\u0440\u0435\u043a\u043b\u0430\u043c\u0430",
    "10": "\u0448\u043e\u0443-\u0431\u0438\u0437\u043d\u0435\u0441"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "\u0434\u0443\u043d\u0451": 5,
    "\u0436\u0430\u043c\u0438\u044f\u0442": 7,
    "\u0436\u0438\u043d\u043e\u044f\u0442": 1,
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    "\u043c\u0430\u0434\u0430\u043d\u0438\u044f\u0442": 3,
    "\u0440\u0435\u043a\u043b\u0430\u043c\u0430": 9,
    "\u0441\u0430\u043b\u043e\u043c\u0430\u0442\u043b\u0438\u043a": 0,
    "\u0441\u0438\u0451\u0441\u0430\u0442": 2,
    "\u0441\u043f\u043e\u0440\u0442": 6,
    "\u0444\u0430\u043d \u0432\u0430 \u0442\u0435\u0445\u043d\u0438\u043a\u0430": 4,
    "\u0448\u043e\u0443-\u0431\u0438\u0437\u043d\u0435\u0441": 10
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.9.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30000
}