readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: chinese-pert-large-finetuned-med-zh
    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-med-zh
  
  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4370
  
  ## 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: 0.0001
  - train_batch_size: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.9428        | 1.0   | 14081 | 10.3783         |
  | 0.8847        | 2.0   | 28162 | 6.8072          |
  | 0.8689        | 3.0   | 42243 | 1.3781          |
  | 0.8592        | 4.0   | 56324 | 5.5274          |
  | 0.8734        | 5.0   | 70405 | 1.4370          |
  
  
  ### Framework versions
  
  - Transformers 4.13.0
  - Pytorch 1.8.0+cu111
  - Datasets 2.4.0
  - Tokenizers 0.10.3
  