BETO_Galen-pharmaconer / config.json
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{
"_name_or_path": "models/BETO_Galen-16-4e-05-0.2-pharmaconer_best",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": 0.2,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1",
"2": "LABEL_2",
"3": "LABEL_3",
"4": "LABEL_4",
"5": "LABEL_5",
"6": "LABEL_6",
"7": "LABEL_7",
"8": "LABEL_8"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-NORMALIZABLES": 2,
"B-NO_NORMALIZABLES": 1,
"B-PROTEINAS": 3,
"B-UNCLEAR": 4,
"I-NORMALIZABLES": 6,
"I-NO_NORMALIZABLES": 5,
"I-PROTEINAS": 7,
"I-UNCLEAR": 8,
"O": 0
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_past": true,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.25.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 31002
}