update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- peoples_daily_ner
+metrics:
+- f1
+model-index:
+- name: finetuned-bert-chinese-base
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: peoples_daily_ner
+      type: peoples_daily_ner
+      config: peoples_daily_ner
+      split: validation
+      args: peoples_daily_ner
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.957080981756136
+---
+
+<!-- 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. -->
+
+# finetuned-bert-chinese-base
+
+This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on the peoples_daily_ner dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0185
+- F1: 0.9571
+
+## 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: 12
+- eval_batch_size: 12
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.0494        | 1.0   | 1739 | 0.0250          | 0.9283 |
+| 0.0146        | 2.0   | 3478 | 0.0202          | 0.9505 |
+| 0.0051        | 3.0   | 5217 | 0.0185          | 0.9571 |
+
+
+### Framework versions
+
+- Transformers 4.31.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3