update model card README.md

README.md

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+---
+license: cc-by-nc-sa-4.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: test-finetuned-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. -->
+
+# test-finetuned-ner
+
+This model is a fine-tuned version of [hfl/chinese-pert-large](https://huggingface.co/hfl/chinese-pert-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1687
+- Precision: 0.7449
+- Recall: 0.7717
+- F1: 0.7581
+- Accuracy: 0.9546
+
+## 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: 3
+- eval_batch_size: 3
+- 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 | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1234        | 1.0   | 9387  | 0.1513          | 0.6954    | 0.7365 | 0.7153 | 0.9505   |
+| 0.0841        | 2.0   | 18774 | 0.1462          | 0.7248    | 0.7630 | 0.7434 | 0.9533   |
+| 0.0542        | 3.0   | 28161 | 0.1687          | 0.7449    | 0.7717 | 0.7581 | 0.9546   |
+
+
+### Framework versions
+
+- Transformers 4.13.0
+- Pytorch 1.8.0+cu111
+- Datasets 2.4.0
+- Tokenizers 0.10.3