medslabs / config.json
lbolanos
First version of the medslabs model and tokenizer.
8dba2b8
{
"_name_or_path": "spanberta-ner",
"architectures": [
"RobertaForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"eos_token_id": 2,
"eos_token_ids": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "B-AMOU",
"1": "B-CED",
"2": "B-CONC",
"3": "B-DATE",
"4": "B-DOSE",
"5": "B-FORM",
"6": "B-FREQ",
"7": "B-IDTY",
"8": "B-LAB",
"9": "B-LOC",
"10": "B-MED",
"11": "B-MISC",
"12": "B-ORG",
"13": "B-PER",
"14": "B-PERI",
"15": "B-POS",
"16": "B-PROC",
"17": "B-ROA",
"18": "I-AMOU",
"19": "I-CED",
"20": "I-CONC",
"21": "I-DATE",
"22": "I-DOSE",
"23": "I-FORM",
"24": "I-FREQ",
"25": "I-IDTY",
"26": "I-LAB",
"27": "I-LOC",
"28": "I-MED",
"29": "I-MISC",
"30": "I-ORG",
"31": "I-PER",
"32": "I-PERI",
"33": "I-POS",
"34": "I-PROC",
"35": "I-ROA",
"36": "O"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-AMOU": 0,
"B-CED": 1,
"B-CONC": 2,
"B-DATE": 3,
"B-DOSE": 4,
"B-FORM": 5,
"B-FREQ": 6,
"B-IDTY": 7,
"B-LAB": 8,
"B-LOC": 9,
"B-MED": 10,
"B-MISC": 11,
"B-ORG": 12,
"B-PER": 13,
"B-PERI": 14,
"B-POS": 15,
"B-PROC": 16,
"B-ROA": 17,
"I-AMOU": 18,
"I-CED": 19,
"I-CONC": 20,
"I-DATE": 21,
"I-DOSE": 22,
"I-FORM": 23,
"I-FREQ": 24,
"I-IDTY": 25,
"I-LAB": 26,
"I-LOC": 27,
"I-MED": 28,
"I-MISC": 29,
"I-ORG": 30,
"I-PER": 31,
"I-PERI": 32,
"I-POS": 33,
"I-PROC": 34,
"I-ROA": 35,
"O": 36
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_past": true,
"pad_token_id": 1,
"type_vocab_size": 1,
"vocab_size": 50265
}