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Conrad747
/
luganda-ner-v4

Token Classification
Transformers
PyTorch
deberta-v2
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
1
luganda-ner-v4
File size: 1,893 Bytes 
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{
  "_name_or_path": "microsoft/deberta-v3-base",
  "architectures": [
    "DebertaV2ForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-PERSON",
    "2": "I-PERSON",
    "3": "L-PERSON",
    "4": "U-PERSON",
    "5": "B-NORP",
    "6": "I-NORP",
    "7": "L-NORP",
    "8": "U-NORP",
    "9": "B-DATE",
    "10": "I-DATE",
    "11": "L-DATE",
    "12": "U-DATE",
    "13": "B-USERID",
    "14": "I-USERID",
    "15": "L-USERID",
    "16": "U-USERID",
    "17": "B-ORG",
    "18": "I-ORG",
    "19": "L-ORG",
    "20": "U-ORG",
    "21": "B-LOCATION",
    "22": "I-LOCATION",
    "23": "L-LOCATION",
    "24": "U-LOCATION"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-DATE": 9,
    "B-LOCATION": 21,
    "B-NORP": 5,
    "B-ORG": 17,
    "B-PERSON": 1,
    "B-USERID": 13,
    "I-DATE": 10,
    "I-LOCATION": 22,
    "I-NORP": 6,
    "I-ORG": 18,
    "I-PERSON": 2,
    "I-USERID": 14,
    "L-DATE": 11,
    "L-LOCATION": 23,
    "L-NORP": 7,
    "L-ORG": 19,
    "L-PERSON": 3,
    "L-USERID": 15,
    "O": 0,
    "U-DATE": 12,
    "U-LOCATION": 24,
    "U-NORP": 8,
    "U-ORG": 20,
    "U-PERSON": 4,
    "U-USERID": 16
  },
  "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": "4.27.4",
  "type_vocab_size": 0,
  "vocab_size": 128100
}