update model card README.md

README.md

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+---
+license: gpl-3.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: ckiplab-bert-base-chinese-david-ner
+  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. -->
+
+# ckiplab-bert-base-chinese-david-ner
+
+This model is a fine-tuned version of [ckiplab/bert-base-chinese](https://huggingface.co/ckiplab/bert-base-chinese) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2336
+- Precision: 0.7803
+- Recall: 0.8207
+- F1: 0.8
+- Accuracy: 0.9448
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.2648        | 1.4   | 500  | 0.2297          | 0.7766    | 0.7793 | 0.7780 | 0.9408   |
+| 0.0739        | 2.8   | 1000 | 0.2336          | 0.7803    | 0.8207 | 0.8    | 0.9448   |
+
+
+### Framework versions
+
+- Transformers 4.29.0.dev0
+- Pytorch 1.10.1+cu113
+- Datasets 2.11.0
+- Tokenizers 0.13.3