File size: 1,168 Bytes
0f0d6c8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
{
"_name_or_path": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "B-CHEBI",
"1": "B-CL",
"2": "B-GGP",
"3": "B-GO",
"4": "B-SO",
"5": "B-Taxon",
"6": "I-CHEBI",
"7": "I-CL",
"8": "I-GGP",
"9": "I-GO",
"10": "I-SO",
"11": "I-Taxon",
"12": "O"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-CHEBI": 0,
"B-CL": 1,
"B-GGP": 2,
"B-GO": 3,
"B-SO": 4,
"B-Taxon": 5,
"I-CHEBI": 6,
"I-CL": 7,
"I-GGP": 8,
"I-GO": 9,
"I-SO": 10,
"I-Taxon": 11,
"O": 12
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.35.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}
|