Upload the model

config.json

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+{
+  "_name_or_path": "models/BETO_Galen-16-4e-05-0.1-meddocan_best",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": 0.1,
+  "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",
+    "9": "LABEL_9",
+    "10": "LABEL_10",
+    "11": "LABEL_11",
+    "12": "LABEL_12",
+    "13": "LABEL_13",
+    "14": "LABEL_14",
+    "15": "LABEL_15",
+    "16": "LABEL_16",
+    "17": "LABEL_17",
+    "18": "LABEL_18",
+    "19": "LABEL_19",
+    "20": "LABEL_20",
+    "21": "LABEL_21",
+    "22": "LABEL_22",
+    "23": "LABEL_23",
+    "24": "LABEL_24",
+    "25": "LABEL_25",
+    "26": "LABEL_26",
+    "27": "LABEL_27",
+    "28": "LABEL_28",
+    "29": "LABEL_29",
+    "30": "LABEL_30",
+    "31": "LABEL_31",
+    "32": "LABEL_32",
+    "33": "LABEL_33",
+    "34": "LABEL_34",
+    "35": "LABEL_35",
+    "36": "LABEL_36",
+    "37": "LABEL_37",
+    "38": "LABEL_38",
+    "39": "LABEL_39",
+    "40": "LABEL_40",
+    "41": "LABEL_41",
+    "42": "LABEL_42",
+    "43": "LABEL_43"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-CALLE": 0,
+    "B-CENTRO_SALUD": 2,
+    "B-CORREO_ELECTRONICO": 4,
+    "B-EDAD_SUJETO_ASISTENCIA": 6,
+    "B-FAMILIARES_SUJETO_ASISTENCIA": 8,
+    "B-FECHAS": 10,
+    "B-HOSPITAL": 12,
+    "B-ID_ASEGURAMIENTO": 14,
+    "B-ID_CONTACTO_ASISTENCIAL": 16,
+    "B-ID_EMPLEO_PERSONAL_SANITARIO": 17,
+    "B-ID_SUJETO_ASISTENCIA": 19,
+    "B-ID_TITULACION_PERSONAL_SANITARIO": 21,
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+    "B-NOMBRE_PERSONAL_SANITARIO": 25,
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+    "B-NUMERO_FAX": 29,
+    "B-NUMERO_TELEFONO": 31,
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+    "B-PAIS": 36,
+    "B-PROFESION": 38,
+    "B-SEXO_SUJETO_ASISTENCIA": 40,
+    "B-TERRITORIO": 42,
+    "I-CALLE": 1,
+    "I-CENTRO_SALUD": 3,
+    "I-CORREO_ELECTRONICO": 5,
+    "I-EDAD_SUJETO_ASISTENCIA": 7,
+    "I-FAMILIARES_SUJETO_ASISTENCIA": 9,
+    "I-FECHAS": 11,
+    "I-HOSPITAL": 13,
+    "I-ID_ASEGURAMIENTO": 15,
+    "I-ID_EMPLEO_PERSONAL_SANITARIO": 18,
+    "I-ID_SUJETO_ASISTENCIA": 20,
+    "I-ID_TITULACION_PERSONAL_SANITARIO": 22,
+    "I-INSTITUCION": 24,
+    "I-NOMBRE_PERSONAL_SANITARIO": 26,
+    "I-NOMBRE_SUJETO_ASISTENCIA": 28,
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+    "I-NUMERO_TELEFONO": 32,
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+    "I-PAIS": 37,
+    "I-PROFESION": 39,
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+    "I-TERRITORIO": 43,
+    "O": 33
+  },
+  "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
+}

pytorch_model.bin

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