readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: bert-base-chinese-finetuned-ner-food_requirement
    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-food_requirement
  
  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: 0.0046
  - 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: 64
  - eval_batch_size: 64
  - 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     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 3.169         | 1.0   | 3    | 1.7537          | 0.0    |
  | 1.598         | 2.0   | 6    | 1.0914          | 0.5169 |
  | 1.1569        | 3.0   | 9    | 0.6879          | 0.7057 |
  | 0.6669        | 4.0   | 12   | 0.4194          | 0.8607 |
  | 0.485         | 5.0   | 15   | 0.2528          | 0.9333 |
  | 0.2807        | 6.0   | 18   | 0.1476          | 0.9836 |
  | 0.2015        | 7.0   | 21   | 0.0834          | 0.9873 |
  | 0.1145        | 8.0   | 24   | 0.0484          | 0.9924 |
  | 0.0809        | 9.0   | 27   | 0.0283          | 1.0    |
  | 0.0495        | 10.0  | 30   | 0.0180          | 1.0    |
  | 0.0377        | 11.0  | 33   | 0.0126          | 1.0    |
  | 0.0219        | 12.0  | 36   | 0.0095          | 1.0    |
  | 0.0216        | 13.0  | 39   | 0.0076          | 1.0    |
  | 0.015         | 14.0  | 42   | 0.0065          | 1.0    |
  | 0.0176        | 15.0  | 45   | 0.0059          | 1.0    |
  | 0.0161        | 16.0  | 48   | 0.0053          | 1.0    |
  | 0.0133        | 17.0  | 51   | 0.0050          | 1.0    |
  | 0.0119        | 18.0  | 54   | 0.0048          | 1.0    |
  | 0.0116        | 19.0  | 57   | 0.0047          | 1.0    |
  | 0.0126        | 20.0  | 60   | 0.0046          | 1.0    |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.12.0+cu102
  - Datasets 1.18.4
  - Tokenizers 0.12.1
  