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{
  "_name_or_path": "sentence-transformers/all-mpnet-base-v2",
  "architectures": [
    "MPNetForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "business",
    "1": "crime",
    "2": "culture",
    "3": "entertainment",
    "4": "local_sports_stats_junk",
    "5": "lottery_junk",
    "6": "politics",
    "7": "real_estate_junk",
    "8": "science",
    "9": "sports",
    "10": "tv_promotions_junk",
    "11": "weather"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "business": 0,
    "crime": 1,
    "culture": 2,
    "entertainment": 3,
    "local_sports_stats_junk": 4,
    "lottery_junk": 5,
    "politics": 6,
    "real_estate_junk": 7,
    "science": 8,
    "sports": 9,
    "tv_promotions_junk": 10,
    "weather": 11
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "mpnet",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "problem_type": "multi_label_classification",
  "relative_attention_num_buckets": 32,
  "torch_dtype": "float32",
  "transformers_version": "4.46.2",
  "vocab_size": 30527
}