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French-TV-transcript-NER

Token Classification
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French-TV-transcript-NER
File size: 1,400 Bytes 
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{
  "_name_or_path": "./transcript-NER",
  "architectures": [
    "DebertaV2ForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "creation",
    "1": "emission",
    "2": "evenement",
    "3": "lieu",
    "4": "loi",
    "5": "maladie",
    "6": "nationalite",
    "7": "nom",
    "8": "organisation",
    "9": "pays",
    "10": "prenom",
    "11": "produit",
    "12": "texte"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "creation": 0,
    "emission": 1,
    "evenement": 2,
    "lieu": 3,
    "loi": 4,
    "maladie": 5,
    "nationalite": 6,
    "nom": 7,
    "organisation": 8,
    "pays": 9,
    "prenom": 10,
    "produit": 11,
    "texte": 12
  },
  "layer_norm_eps": 1e-07,
  "max_position_embeddings": 512,
  "max_relative_positions": -1,
  "model_type": "deberta-v2",
  "norm_rel_ebd": "layer_norm",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "pooler_dropout": 0,
  "pooler_hidden_act": "gelu",
  "pooler_hidden_size": 768,
  "pos_att_type": [
    "p2c",
    "c2p"
  ],
  "position_biased_input": false,
  "position_buckets": 256,
  "relative_attention": true,
  "share_att_key": true,
  "torch_dtype": "float32",
  "transformers_version": "4.41.2",
  "type_vocab_size": 0,
  "vocab_size": 251000
}