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NER_thai_phayathai

Token Classification
Transformers
TensorBoard
Safetensors
camembert
Generated from Trainer
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NER_thai_phayathai
File size: 2,403 Bytes 
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{
  "_name_or_path": "clicknext/phayathaibert",
  "architectures": [
    "CamembertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "I-location",
    "2": "I-person",
    "3": "S-facility",
    "4": "B-location",
    "5": "B-num",
    "6": "E-num",
    "7": "I-date",
    "8": "I-woa",
    "9": "E-person",
    "10": "B-facility",
    "11": "S-woa",
    "12": "E-organisation",
    "13": "E-woa",
    "14": "I-norp",
    "15": "S-num",
    "16": "I-misc",
    "17": "B-organisation",
    "18": "B-woa",
    "19": "E-event",
    "20": "S-location",
    "21": "E-date",
    "22": "S-person",
    "23": "S-date",
    "24": "B-person",
    "25": "I-organisation",
    "26": "S-norp",
    "27": "B-norp",
    "28": "B-date",
    "29": "I-event",
    "30": "E-location",
    "31": "E-misc",
    "32": "S-event",
    "33": "B-event",
    "34": "I-facility",
    "35": "E-facility",
    "36": "S-organisation",
    "37": "E-norp",
    "38": "S-misc",
    "39": "I-num",
    "40": "B-misc"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-date": 28,
    "B-event": 33,
    "B-facility": 10,
    "B-location": 4,
    "B-misc": 40,
    "B-norp": 27,
    "B-num": 5,
    "B-organisation": 17,
    "B-person": 24,
    "B-woa": 18,
    "E-date": 21,
    "E-event": 19,
    "E-facility": 35,
    "E-location": 30,
    "E-misc": 31,
    "E-norp": 37,
    "E-num": 6,
    "E-organisation": 12,
    "E-person": 9,
    "E-woa": 13,
    "I-date": 7,
    "I-event": 29,
    "I-facility": 34,
    "I-location": 1,
    "I-misc": 16,
    "I-norp": 14,
    "I-num": 39,
    "I-organisation": 25,
    "I-person": 2,
    "I-woa": 8,
    "O": 0,
    "S-date": 23,
    "S-event": 32,
    "S-facility": 3,
    "S-location": 20,
    "S-misc": 38,
    "S-norp": 26,
    "S-num": 15,
    "S-organisation": 36,
    "S-person": 22,
    "S-woa": 11
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "camembert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.35.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 249262
}