End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-base-chinese
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: ner_based_bert-base-chinese_withBadcase_replaceSpace
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# ner_based_bert-base-chinese_withBadcase_replaceSpace
+
+This model is a fine-tuned version of [google-bert/bert-base-chinese](https://huggingface.co/google-bert/bert-base-chinese) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0151
+- Precision: 0.9489
+- Recall: 0.9620
+- F1: 0.9554
+- Accuracy: 0.9966
+
+## 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:
+- learning_rate: 2e-05
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 20
+- training_steps: 6510
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1554        | 1.0    | 652  | 0.0277          | 0.8737    | 0.9102 | 0.8916 | 0.9917   |
+| 0.0256        | 2.0    | 1304 | 0.0250          | 0.8848    | 0.9350 | 0.9092 | 0.9928   |
+| 0.02          | 3.0    | 1956 | 0.0184          | 0.9170    | 0.9387 | 0.9278 | 0.9947   |
+| 0.0132        | 4.0    | 2608 | 0.0170          | 0.9240    | 0.9478 | 0.9358 | 0.9952   |
+| 0.0117        | 5.0    | 3260 | 0.0158          | 0.9363    | 0.9491 | 0.9426 | 0.9958   |
+| 0.0102        | 6.0    | 3912 | 0.0142          | 0.9415    | 0.9521 | 0.9468 | 0.9962   |
+| 0.0075        | 7.0    | 4564 | 0.0158          | 0.9334    | 0.9596 | 0.9463 | 0.9960   |
+| 0.0068        | 8.0    | 5216 | 0.0142          | 0.9480    | 0.9589 | 0.9534 | 0.9966   |
+| 0.0059        | 9.0    | 5868 | 0.0144          | 0.9503    | 0.9595 | 0.9549 | 0.9966   |
+| 0.0046        | 9.9847 | 6510 | 0.0151          | 0.9489    | 0.9620 | 0.9554 | 0.9966   |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.7.0+cu126
+- Datasets 3.6.0
+- Tokenizers 0.21.1

config.json

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+{
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-phone",
+    "2": "I-phone",
+    "3": "E-phone",
+    "4": "B-name",
+    "5": "I-name",
+    "6": "E-name",
+    "7": "S-name",
+    "8": "B-area",
+    "9": "I-area",
+    "10": "E-area",
+    "11": "S-area",
+    "12": "B-sex",
+    "13": "E-sex",
+    "14": "S-sex",
+    "15": "B-wechat",
+    "16": "I-wechat",
+    "17": "E-wechat",
+    "18": "B-age",
+    "19": "I-age",
+    "20": "E-age",
+    "21": "S-age"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-age": 18,
+    "B-area": 8,
+    "B-name": 4,
+    "B-phone": 1,
+    "B-sex": 12,
+    "B-wechat": 15,
+    "E-age": 20,
+    "E-area": 10,
+    "E-name": 6,
+    "E-phone": 3,
+    "E-sex": 13,
+    "E-wechat": 17,
+    "I-age": 19,
+    "I-area": 9,
+    "I-name": 5,
+    "I-phone": 2,
+    "I-wechat": 16,
+    "O": 0,
+    "S-age": 21,
+    "S-area": 11,
+    "S-name": 7,
+    "S-sex": 14
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 21128
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e41d3f862e6fac9d74b8cf088ca705fe4596f2618b0af495a782bb66c9f0b8ab
+size 406799208

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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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "extra_special_tokens": {},
+  "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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+version https://git-lfs.github.com/spec/v1
+oid sha256:8ea644cb07633a03ea5f90e2de26813f3ca3b63c9011848cad788fd4ecaa0f1f
+size 5841