readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-large-chinese-cnhdwriter
    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. -->
  
  # bart-large-chinese-cnhdwriter
  
  This model is a fine-tuned version of [fnlp/bart-large-chinese](https://huggingface.co/fnlp/bart-large-chinese) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3859
  - Rouge1: 16.8496
  - Rouge2: 2.5548
  - Rougel: 16.8123
  - Rougelsum: 16.8056
  - Gen Len: 18.9357
  
  ## 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: 1
  - eval_batch_size: 1
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 1.2119        | 1.0   | 62716  | 1.1876          | 15.3858 | 2.1251 | 15.3709 | 15.3705   | 18.7269 |
  | 1.0847        | 2.0   | 125432 | 1.3353          | 13.7743 | 1.9047 | 13.7664 | 13.7421   | 18.6183 |
  | 0.6995        | 3.0   | 188148 | 1.2209          | 16.6797 | 2.3979 | 16.6258 | 16.6368   | 18.8953 |
  | 0.4819        | 4.0   | 250864 | 1.3859          | 16.8496 | 2.5548 | 16.8123 | 16.8056   | 18.9357 |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  