Training in progress epoch 0

README.md

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+---
+tags:
+- generated_from_keras_callback
+model-index:
+- name: JavierAnd/cliente360_class_weighted_model
+  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. -->
+
+# JavierAnd/cliente360_class_weighted_model
+
+This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 1.2096
+- Validation Loss: 0.9421
+- Train F1: 0.7156
+- Epoch: 0
+
+## 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: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 16071, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Train F1 | Epoch |
+|:----------:|:---------------:|:--------:|:-----:|
+| 1.2096     | 0.9421          | 0.7156   | 0     |
+
+
+### Framework versions
+
+- Transformers 4.27.3
+- TensorFlow 2.12.0
+- Datasets 2.11.0
+- Tokenizers 0.13.2

config.json

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+{
+  "_name_or_path": "dccuchile/distilbert-base-spanish-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "Posible fraude",
+    "1": "Suplantaci\u00f3n",
+    "2": "Datos de la transacci\u00f3n",
+    "3": "Descuento no pago atm propio",
+    "4": "Inconformidad venta",
+    "5": "Inconformidad en el saldo",
+    "6": "Liquidaci\u00f3n de intereses",
+    "7": "Inconformidad en d\u00e9bito",
+    "8": "Inconsistencia en compras",
+    "9": "Inconsisten transf daviplata",
+    "10": "Inconsistencia TX otras redes",
+    "11": "Aclaraci\u00f3n Tramite",
+    "12": "Inconsistencia en Saldo",
+    "13": "Protecci\u00f3n de datos",
+    "14": "Inconformidad gesti\u00f3n cobranza",
+    "15": "Reporte o calificaci\u00f3n",
+    "16": "Aclaraci\u00f3n de movimiento",
+    "17": "Inconformidad Tasa Hip/Leasing",
+    "18": "Pagos mal aplicados",
+    "19": "Endoso p\u00f3liza o cambio cia",
+    "20": "Acumulaci\u00f3n davipuntos-millas",
+    "21": "Atenci\u00f3n del funcionario",
+    "22": "Tarifas de servicio/comisiones",
+    "23": "Cartera Veh\u00edculo Productivo",
+    "24": "Inconformidad sobre el premio",
+    "25": "Cobro errado cuotas seguros",
+    "26": "Procesos Judiciales",
+    "27": "Reclam. Corresponsal",
+    "28": "Notificaciones erradas",
+    "29": "Inconformidad venta Seguro",
+    "30": "Levantamiento de hipoteca",
+    "31": "Ajuste tasa hipotec. Retenci\u00f3n",
+    "32": "Ajuste valor asegurado",
+    "33": "Extracto no generado-recibido",
+    "34": "Embargos",
+    "35": "Inconsistencia pago servicios",
+    "36": "Recaudos mal aplicados",
+    "37": "Incons aporte ret o canc",
+    "38": "Reporte/informe anual de costo",
+    "39": "Tarjeta de Cr\u00e9dito",
+    "40": "Cuenta Bloqueada",
+    "41": "Inconsistencia acuerdo de pago",
+    "42": "Demora en atenci\u00f3n o servicio",
+    "43": "Redencion der o part",
+    "44": "Voucher no abonado",
+    "45": "Incons rendimiento",
+    "46": "Bienes recibidos en pago"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "Aclaraci\u00f3n Tramite": 11,
+    "Aclaraci\u00f3n de movimiento": 16,
+    "Acumulaci\u00f3n davipuntos-millas": 20,
+    "Ajuste tasa hipotec. Retenci\u00f3n": 31,
+    "Ajuste valor asegurado": 32,
+    "Atenci\u00f3n del funcionario": 21,
+    "Bienes recibidos en pago": 46,
+    "Cartera Veh\u00edculo Productivo": 23,
+    "Cobro errado cuotas seguros": 25,
+    "Cuenta Bloqueada": 40,
+    "Datos de la transacci\u00f3n": 2,
+    "Demora en atenci\u00f3n o servicio": 42,
+    "Descuento no pago atm propio": 3,
+    "Embargos": 34,
+    "Endoso p\u00f3liza o cambio cia": 19,
+    "Extracto no generado-recibido": 33,
+    "Inconformidad Tasa Hip/Leasing": 17,
+    "Inconformidad en d\u00e9bito": 7,
+    "Inconformidad en el saldo": 5,
+    "Inconformidad gesti\u00f3n cobranza": 14,
+    "Inconformidad sobre el premio": 24,
+    "Inconformidad venta": 4,
+    "Inconformidad venta Seguro": 29,
+    "Incons aporte ret o canc": 37,
+    "Incons rendimiento": 45,
+    "Inconsisten transf daviplata": 9,
+    "Inconsistencia TX otras redes": 10,
+    "Inconsistencia acuerdo de pago": 41,
+    "Inconsistencia en Saldo": 12,
+    "Inconsistencia en compras": 8,
+    "Inconsistencia pago servicios": 35,
+    "Levantamiento de hipoteca": 30,
+    "Liquidaci\u00f3n de intereses": 6,
+    "Notificaciones erradas": 28,
+    "Pagos mal aplicados": 18,
+    "Posible fraude": 0,
+    "Procesos Judiciales": 26,
+    "Protecci\u00f3n de datos": 13,
+    "Recaudos mal aplicados": 36,
+    "Reclam. Corresponsal": 27,
+    "Redencion der o part": 43,
+    "Reporte o calificaci\u00f3n": 15,
+    "Reporte/informe anual de costo": 38,
+    "Suplantaci\u00f3n": 1,
+    "Tarifas de servicio/comisiones": 22,
+    "Tarjeta de Cr\u00e9dito": 39,
+    "Voucher no abonado": 44
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": true,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.27.3",
+  "vocab_size": 31002
+}

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b51ba2fd163673f5d20e14cec56d04daaba426c45b2a4984c817075082fd202a
+size 269564608

tokenizer_config.json

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+{
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "strip_accents": false,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}