readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: trash_mail_cls_2022
    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. -->
  
  # trash_mail_cls_2022
  
  This model is a fine-tuned version of [hfl/chinese-macbert-base](https://huggingface.co/hfl/chinese-macbert-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0005
  - Accuracy: 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: 1e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.0694        | 1.0   | 546  | 0.0088          | 0.9982   |
  | 0.0177        | 2.0   | 1092 | 0.0005          | 1.0      |
  | 0.0081        | 3.0   | 1638 | 0.0100          | 0.9973   |
  | 0.0014        | 4.0   | 2184 | 0.0063          | 0.9982   |
  | 0.0001        | 5.0   | 2730 | 0.0079          | 0.9982   |
  | 0.0           | 6.0   | 3276 | 0.0076          | 0.9982   |
  | 0.0           | 7.0   | 3822 | 0.0068          | 0.9982   |
  | 0.0           | 8.0   | 4368 | 0.0066          | 0.9982   |
  | 0.0           | 9.0   | 4914 | 0.0029          | 0.9982   |
  | 0.0           | 10.0  | 5460 | 0.0029          | 0.9982   |
  
  
  ### Framework versions
  
  - Transformers 4.19.4
  - Pytorch 1.12.0
  - Datasets 2.3.1
  - Tokenizers 0.11.6
  