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feat: Upload fine-tuned medical NER model OpenMed-NER-DNADetect-TinyMed-66M
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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-DNA",
"2": "B-RNA",
"3": "B-cell_line",
"4": "B-cell_type",
"5": "B-protein",
"6": "I-DNA",
"7": "I-RNA",
"8": "I-cell_line",
"9": "I-cell_type",
"10": "I-protein"
},
"initializer_range": 0.02,
"label2id": {
"B-DNA": 1,
"B-RNA": 2,
"B-cell_line": 3,
"B-cell_type": 4,
"B-protein": 5,
"I-DNA": 6,
"I-RNA": 7,
"I-cell_line": 8,
"I-cell_type": 9,
"I-protein": 10,
"O": 0
},
"max_position_embeddings": 512,
"model_type": "distilbert",
"n_heads": 12,
"n_layers": 6,
"pad_token_id": 0,
"qa_dropout": 0.1,
"seq_classif_dropout": 0.2,
"sinusoidal_pos_embds": false,
"tie_weights_": true,
"torch_dtype": "bfloat16",
"transformers_version": "4.53.2",
"vocab_size": 30522
}