readme: ---
  license: cc-by-nc-sa-4.0
  tags:
  - generated_from_trainer
  model-index:
  - name: new-QA
    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. -->
  
  # new-QA
  
  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: 1.5158
  
  ## 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: 3e-05
  - train_batch_size: 32
  - eval_batch_size: 32
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | No log        | 1.0   | 12   | 4.9940          |
  | No log        | 2.0   | 24   | 3.9417          |
  | No log        | 3.0   | 36   | 3.1311          |
  | No log        | 4.0   | 48   | 2.4780          |
  | No log        | 5.0   | 60   | 2.2296          |
  | No log        | 6.0   | 72   | 1.9246          |
  | No log        | 7.0   | 84   | 1.6536          |
  | No log        | 8.0   | 96   | 1.7087          |
  | No log        | 9.0   | 108  | 1.6027          |
  | No log        | 10.0  | 120  | 1.5158          |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.10.0+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  