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task2_small

Token Classification
Transformers
Safetensors
distilbert
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task2_small
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{
  "activation": "gelu",
  "architectures": [
    "DistilBertForTokenClassification"
  ],
  "attention_dropout": 0.1,
  "dim": 768,
  "dropout": 0.1,
  "hidden_dim": 3072,
  "id2label": {
    "0": "O",
    "1": "B-DRUG",
    "2": "I-DRUG",
    "3": "B-DOSAGE",
    "4": "I-DOSAGE",
    "5": "B-FORM",
    "6": "I-FORM",
    "7": "B-FREQUENCY",
    "8": "I-FREQUENCY",
    "9": "B-DURATION",
    "10": "I-DURATION",
    "11": "B-STRENGTH",
    "12": "I-STRENGTH",
    "13": "B-REASON",
    "14": "I-REASON",
    "15": "B-ROUTE",
    "16": "I-ROUTE",
    "17": "B-ACTIVEING",
    "18": "I-ACTIVEING"
  },
  "initializer_range": 0.02,
  "label2id": {
    "B-ACTIVEING": 17,
    "B-DOSAGE": 3,
    "B-DRUG": 1,
    "B-DURATION": 9,
    "B-FORM": 5,
    "B-FREQUENCY": 7,
    "B-REASON": 13,
    "B-ROUTE": 15,
    "B-STRENGTH": 11,
    "I-ACTIVEING": 18,
    "I-DOSAGE": 4,
    "I-DRUG": 2,
    "I-DURATION": 10,
    "I-FORM": 6,
    "I-FREQUENCY": 8,
    "I-REASON": 14,
    "I-ROUTE": 16,
    "I-STRENGTH": 12,
    "O": 0
  },
  "max_position_embeddings": 512,
  "model_type": "distilbert",
  "n_heads": 12,
  "n_layers": 6,
  "output_past": true,
  "pad_token_id": 0,
  "qa_dropout": 0.1,
  "seq_classif_dropout": 0.2,
  "sinusoidal_pos_embds": true,
  "tie_weights_": true,
  "torch_dtype": "float32",
  "transformers_version": "4.52.4",
  "vocab_size": 31102
}