readme: ---
  license: cc-by-nc-sa-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: chinese-pert-large-finetuned-product
    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. -->
  
  # chinese-pert-large-finetuned-product
  
  This model is a fine-tuned version of [hfl/chinese-pert-large](https://huggingface.co/hfl/chinese-pert-large) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0208
  
  ## 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: 128
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.0545        | 1.0   | 3237  | 0.0532          |
  | 0.0451        | 2.0   | 6474  | 0.0465          |
  | 0.0414        | 3.0   | 9711  | 0.0439          |
  | 0.0198        | 4.0   | 12948 | 0.0220          |
  | 0.0191        | 5.0   | 16185 | 0.0217          |
  | 0.0188        | 6.0   | 19422 | 0.0215          |
  | 0.0185        | 7.0   | 22659 | 0.0212          |
  | 0.0183        | 8.0   | 25896 | 0.0209          |
  | 0.0181        | 9.0   | 29133 | 0.0208          |
  | 0.018         | 10.0  | 32370 | 0.0208          |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.6.0
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  