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hungphongtrn
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phobert-base-v2_VietMed_Corpus

Token Classification
Transformers
PyTorch
roberta
Generated from Trainer
Inference Endpoints
Model card Files Community
phobert-base-v2_VietMed_Corpus
File size: 1,978 Bytes 
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{
  "_name_or_path": "vinai/phobert-base-v2",
  "architectures": [
    "RobertaForTokenClassification"
  ],
  "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-UNITCALIBRATOR",
    "2": "I-TRANSPORTATION",
    "3": "I-ORGANIZATION",
    "4": "I-ORGAN",
    "5": "I-OCCUPATION",
    "6": "I-MEDDEVICETECHNIQUE",
    "7": "I-LOCATION",
    "8": "I-GENDER",
    "9": "I-DRUGCHEMICAL",
    "10": "I-DIESEASE",
    "11": "I-DATETIME",
    "12": "I-AGE",
    "13": "B-UNITCALIBRATOR",
    "14": "B-TRANSPORTATION",
    "15": "B-ORGANIZATION",
    "16": "B-ORGAN",
    "17": "B-OCCUPATION",
    "18": "B-MEDDEVICETECHNIQUE",
    "19": "B-LOCATION",
    "20": "B-GENDER",
    "21": "B-DRUGCHEMICAL",
    "22": "B-DIESEASE",
    "23": "B-DATETIME",
    "24": "B-AGE"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-AGE": 24,
    "B-DATETIME": 23,
    "B-DIESEASE": 22,
    "B-DRUGCHEMICAL": 21,
    "B-GENDER": 20,
    "B-LOCATION": 19,
    "B-MEDDEVICETECHNIQUE": 18,
    "B-OCCUPATION": 17,
    "B-ORGAN": 16,
    "B-ORGANIZATION": 15,
    "B-TRANSPORTATION": 14,
    "B-UNITCALIBRATOR": 13,
    "I-AGE": 12,
    "I-DATETIME": 11,
    "I-DIESEASE": 10,
    "I-DRUGCHEMICAL": 9,
    "I-GENDER": 8,
    "I-LOCATION": 7,
    "I-MEDDEVICETECHNIQUE": 6,
    "I-OCCUPATION": 5,
    "I-ORGAN": 4,
    "I-ORGANIZATION": 3,
    "I-TRANSPORTATION": 2,
    "I-UNITCALIBRATOR": 1,
    "O": 0
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 258,
  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "tokenizer_class": "PhobertTokenizer",
  "torch_dtype": "float32",
  "transformers_version": "4.32.0.dev0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 64001
}