Model save

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Sector financiero",
+    "1": "Compras",
+    "2": "Hogar",
+    "3": "Protecci\u00f3n",
+    "4": "Entretenimiento",
+    "5": "Educaci\u00f3n",
+    "6": "Transporte",
+    "7": "Viajes",
+    "8": "Alimentaci\u00f3n",
+    "9": "Servicios profesionales"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Alimentaci\u00f3n": "8",
+    "Compras": "1",
+    "Educaci\u00f3n": "5",
+    "Entretenimiento": "4",
+    "Hogar": "2",
+    "Protecci\u00f3n": "3",
+    "Sector financiero": "0",
+    "Servicios profesionales": "9",
+    "Transporte": "6",
+    "Viajes": "7"
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.23.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:64bfe11358d72bd546e25a0495aa46414cc22d0c4863d2d1799c42a493e4d46c
+size 438029685

special_tokens_map.json

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

tokenizer_config.json

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+{
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "name_or_path": "bert-base-uncased",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 3451