End of training

README.md

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----
-license: apache-2.0
----
+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-chinese
+tags:
+- generated_from_trainer
+model-index:
+- name: NER0709
+  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. -->
+
+# NER0709
+
+This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0002
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- 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: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 9    | 0.0212          |
+| 0.397         | 2.0   | 18   | 0.0017          |
+| 0.005         | 3.0   | 27   | 0.0004          |
+| 0.0009        | 4.0   | 36   | 0.0003          |
+| 0.0006        | 5.0   | 45   | 0.0002          |
+| 0.0005        | 6.0   | 54   | 0.0002          |
+
+
+### Framework versions
+
+- Transformers 4.53.0
+- Pytorch 2.6.0+cu124
+- Datasets 2.14.4
+- Tokenizers 0.21.2

model.safetensors

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