readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: bert-base-chinese-finetuned-split
    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. -->
  
  # bert-base-chinese-finetuned-split
  
  This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0154
  - F1: 1.0
  
  ## 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: 27
  - eval_batch_size: 27
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.4938        | 1.0   | 1    | 1.6750          | 0.0    |
  | 1.7935        | 2.0   | 2    | 0.7116          | 0.0    |
  | 0.7945        | 3.0   | 3    | 0.5122          | 0.0    |
  | 0.5331        | 4.0   | 4    | 0.4022          | 0.0    |
  | 0.4232        | 5.0   | 5    | 0.3155          | 0.0    |
  | 0.3449        | 6.0   | 6    | 0.2706          | 0.0    |
  | 0.2951        | 7.0   | 7    | 0.2177          | 0.1481 |
  | 0.2455        | 8.0   | 8    | 0.1809          | 0.2143 |
  | 0.2115        | 9.0   | 9    | 0.1463          | 0.6486 |
  | 0.1631        | 10.0  | 10   | 0.1210          | 0.8636 |
  | 0.1427        | 11.0  | 11   | 0.0988          | 0.8889 |
  | 0.1227        | 12.0  | 12   | 0.0736          | 0.9583 |
  | 0.098         | 13.0  | 13   | 0.0528          | 0.9796 |
  | 0.0769        | 14.0  | 14   | 0.0399          | 1.0    |
  | 0.0616        | 15.0  | 15   | 0.0319          | 1.0    |
  | 0.0526        | 16.0  | 16   | 0.0267          | 1.0    |
  | 0.0505        | 17.0  | 17   | 0.0216          | 1.0    |
  | 0.0337        | 18.0  | 18   | 0.0182          | 1.0    |
  | 0.034         | 19.0  | 19   | 0.0163          | 1.0    |
  | 0.0275        | 20.0  | 20   | 0.0154          | 1.0    |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.12.0+cu102
  - Datasets 1.18.4
  - Tokenizers 0.12.1
  