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classification_report.json

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+{
+  "ADDRESS": {
+    "precision": 1.0,
+    "recall": 0.9355,
+    "f1-score": 0.9667,
+    "support": 31
+  },
+  "COMPANY": {
+    "precision": 0.9737,
+    "recall": 0.925,
+    "f1-score": 0.9487,
+    "support": 40
+  },
+  "CREDIT_CARD": {
+    "precision": 1.0,
+    "recall": 0.963,
+    "f1-score": 0.9811,
+    "support": 27
+  },
+  "EMAIL": {
+    "precision": 1.0,
+    "recall": 0.9565,
+    "f1-score": 0.9778,
+    "support": 23
+  },
+  "NAME": {
+    "precision": 1.0,
+    "recall": 0.9388,
+    "f1-score": 0.9684,
+    "support": 49
+  },
+  "PHONE": {
+    "precision": 1.0,
+    "recall": 0.9643,
+    "f1-score": 0.9818,
+    "support": 28
+  },
+  "SSN": {
+    "precision": 1.0,
+    "recall": 0.9394,
+    "f1-score": 0.9688,
+    "support": 33
+  },
+  "URL": {
+    "precision": 1.0,
+    "recall": 0.9231,
+    "f1-score": 0.96,
+    "support": 26
+  },
+  "OVERALL_MICRO": {
+    "precision": 0.9959,
+    "recall": 0.9416,
+    "f1-score": 0.968,
+    "support": 257
+  },
+  "OVERALL_MACRO": {
+    "precision": 0.9967,
+    "recall": 0.9432,
+    "f1-score": 0.9692,
+    "support": 257
+  },
+  "OVERALL_WEIGHTED": {
+    "precision": 0.9959,
+    "recall": 0.9416,
+    "f1-score": 0.968,
+    "support": 257
+  }
+}

config.json

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+{
+  "add_cross_attention": false,
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": null,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "eos_token_id": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-ADDRESS",
+    "2": "I-ADDRESS",
+    "3": "B-COMPANY",
+    "4": "I-COMPANY",
+    "5": "B-CREDIT_CARD",
+    "6": "I-CREDIT_CARD",
+    "7": "B-EMAIL",
+    "8": "I-EMAIL",
+    "9": "B-NAME",
+    "10": "I-NAME",
+    "11": "B-PHONE",
+    "12": "I-PHONE",
+    "13": "B-SSN",
+    "14": "I-SSN",
+    "15": "B-URL",
+    "16": "I-URL"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "is_decoder": false,
+  "label2id": {
+    "B-ADDRESS": 1,
+    "B-COMPANY": 3,
+    "B-CREDIT_CARD": 5,
+    "B-EMAIL": 7,
+    "B-NAME": 9,
+    "B-PHONE": 11,
+    "B-SSN": 13,
+    "B-URL": 15,
+    "I-ADDRESS": 2,
+    "I-COMPANY": 4,
+    "I-CREDIT_CARD": 6,
+    "I-EMAIL": 8,
+    "I-NAME": 10,
+    "I-PHONE": 12,
+    "I-SSN": 14,
+    "I-URL": 16,
+    "O": 0
+  },
+  "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",
+  "tie_word_embeddings": true,
+  "transformers_version": "5.6.2",
+  "type_vocab_size": 2,
+  "use_cache": false,
+  "vocab_size": 30522
+}

model.safetensors

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+size 435642204

tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "backend": "tokenizers",
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "is_local": false,
+  "local_files_only": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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