Upload TFRobertaForTokenClassification

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_keras_callback
+model-index:
+- name: model-tf
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# model-tf
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: None
+- training_precision: float32
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- TensorFlow 2.17.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "model",
+  "architectures": [
+    "RobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "finetuning_task": "ner",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-TERRITORIO",
+    "2": "I-TERRITORIO",
+    "3": "B-FECHAS",
+    "4": "I-FECHAS",
+    "5": "B-EDAD_SUJETO_ASISTENCIA",
+    "6": "I-EDAD_SUJETO_ASISTENCIA",
+    "7": "B-NOMBRE_SUJETO_ASISTENCIA",
+    "8": "I-NOMBRE_SUJETO_ASISTENCIA",
+    "9": "B-NOMBRE_PERSONAL_SANITARIO",
+    "10": "I-NOMBRE_PERSONAL_SANITARIO",
+    "11": "B-SEXO_SUJETO_ASISTENCIA",
+    "12": "I-SEXO_SUJETO_ASISTENCIA",
+    "13": "B-CALLE",
+    "14": "I-CALLE",
+    "15": "B-PAIS",
+    "16": "I-PAIS",
+    "17": "B-ID_SUJETO_ASISTENCIA",
+    "18": "I-ID_SUJETO_ASISTENCIA",
+    "19": "B-CORREO_ELECTRONICO",
+    "20": "I-CORREO_ELECTRONICO",
+    "21": "B-ID_TITULACION_PERSONAL_SANITARIO",
+    "22": "I-ID_TITULACION_PERSONAL_SANITARIO",
+    "23": "B-ID_ASEGURAMIENTO",
+    "24": "I-ID_ASEGURAMIENTO",
+    "25": "B-HOSPITAL",
+    "26": "I-HOSPITAL",
+    "27": "B-FAMILIARES_SUJETO_ASISTENCIA",
+    "28": "I-FAMILIARES_SUJETO_ASISTENCIA",
+    "29": "B-INSTITUCION",
+    "30": "I-INSTITUCION",
+    "31": "B-ID_CONTACTO_ASISTENCIAL",
+    "32": "I-ID_CONTACTO_ASISTENCIAL",
+    "33": "B-ASISTENCIAL",
+    "34": "I-ASISTENCIAL",
+    "35": "B-NUMERO_TELEFONO",
+    "36": "I-NUMERO_TELEFONO",
+    "37": "B-PROFESION",
+    "38": "I-PROFESION",
+    "39": "B-NUMERO_FAX",
+    "40": "I-NUMERO_FAX",
+    "41": "B-OTROS_SUJETO_ASISTENCIA",
+    "42": "I-OTROS_SUJETO_ASISTENCIA",
+    "43": "B-CENTRO_SALUD",
+    "44": "I-CENTRO_SALUD",
+    "45": "B-ID_EMPLEO_PERSONAL_SANITARIO",
+    "46": "I-ID_EMPLEO_PERSONAL_SANITARIO"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-ASISTENCIAL": 33,
+    "B-CALLE": 13,
+    "B-CENTRO_SALUD": 43,
+    "B-CORREO_ELECTRONICO": 19,
+    "B-EDAD_SUJETO_ASISTENCIA": 5,
+    "B-FAMILIARES_SUJETO_ASISTENCIA": 27,
+    "B-FECHAS": 3,
+    "B-HOSPITAL": 25,
+    "B-ID_ASEGURAMIENTO": 23,
+    "B-ID_CONTACTO_ASISTENCIAL": 31,
+    "B-ID_EMPLEO_PERSONAL_SANITARIO": 45,
+    "B-ID_SUJETO_ASISTENCIA": 17,
+    "B-ID_TITULACION_PERSONAL_SANITARIO": 21,
+    "B-INSTITUCION": 29,
+    "B-NOMBRE_PERSONAL_SANITARIO": 9,
+    "B-NOMBRE_SUJETO_ASISTENCIA": 7,
+    "B-NUMERO_FAX": 39,
+    "B-NUMERO_TELEFONO": 35,
+    "B-OTROS_SUJETO_ASISTENCIA": 41,
+    "B-PAIS": 15,
+    "B-PROFESION": 37,
+    "B-SEXO_SUJETO_ASISTENCIA": 11,
+    "B-TERRITORIO": 1,
+    "I-ASISTENCIAL": 34,
+    "I-CALLE": 14,
+    "I-CENTRO_SALUD": 44,
+    "I-CORREO_ELECTRONICO": 20,
+    "I-EDAD_SUJETO_ASISTENCIA": 6,
+    "I-FAMILIARES_SUJETO_ASISTENCIA": 28,
+    "I-FECHAS": 4,
+    "I-HOSPITAL": 26,
+    "I-ID_ASEGURAMIENTO": 24,
+    "I-ID_CONTACTO_ASISTENCIAL": 32,
+    "I-ID_EMPLEO_PERSONAL_SANITARIO": 46,
+    "I-ID_SUJETO_ASISTENCIA": 18,
+    "I-ID_TITULACION_PERSONAL_SANITARIO": 22,
+    "I-INSTITUCION": 30,
+    "I-NOMBRE_PERSONAL_SANITARIO": 10,
+    "I-NOMBRE_SUJETO_ASISTENCIA": 8,
+    "I-NUMERO_FAX": 40,
+    "I-NUMERO_TELEFONO": 36,
+    "I-OTROS_SUJETO_ASISTENCIA": 42,
+    "I-PAIS": 16,
+    "I-PROFESION": 38,
+    "I-SEXO_SUJETO_ASISTENCIA": 12,
+    "I-TERRITORIO": 2,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

tf_model.h5

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