readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: bert-base-chinese-finetuned-ner-split_food
    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-ner-split_food
  
  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: 0.0077
  - 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: 30
  - eval_batch_size: 30
  - 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     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.6798        | 1.0   | 1    | 1.6743          | 0.0    |
  | 1.8172        | 2.0   | 2    | 0.6580          | 0.0    |
  | 0.746         | 3.0   | 3    | 0.4864          | 0.0    |
  | 0.4899        | 4.0   | 4    | 0.3927          | 0.0    |
  | 0.401         | 5.0   | 5    | 0.2753          | 0.0    |
  | 0.2963        | 6.0   | 6    | 0.2160          | 0.0    |
  | 0.2452        | 7.0   | 7    | 0.1848          | 0.5455 |
  | 0.2188        | 8.0   | 8    | 0.1471          | 0.7692 |
  | 0.1775        | 9.0   | 9    | 0.1131          | 0.7692 |
  | 0.1469        | 10.0  | 10   | 0.0864          | 0.8293 |
  | 0.1145        | 11.0  | 11   | 0.0621          | 0.9333 |
  | 0.0881        | 12.0  | 12   | 0.0432          | 1.0    |
  | 0.0702        | 13.0  | 13   | 0.0329          | 1.0    |
  | 0.0531        | 14.0  | 14   | 0.0268          | 1.0    |
  | 0.044         | 15.0  | 15   | 0.0184          | 1.0    |
  | 0.0321        | 16.0  | 16   | 0.0129          | 1.0    |
  | 0.0255        | 17.0  | 17   | 0.0101          | 1.0    |
  | 0.0236        | 18.0  | 18   | 0.0087          | 1.0    |
  | 0.0254        | 19.0  | 19   | 0.0080          | 1.0    |
  | 0.0185        | 20.0  | 20   | 0.0077          | 1.0    |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.12.0+cu102
  - Datasets 1.18.4
  - Tokenizers 0.12.1
  