readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bart-large-asqa-cb
    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-asqa-cb
  
  This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.4791
  - Rougelsum: 38.2862
  
  ## 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: 5e-06
  - 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: 20
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|
  | 3.347         | 1.0   | 545  | 2.5353          | 37.3812   |
  | 2.7829        | 2.0   | 1090 | 2.5087          | 37.6431   |
  | 2.6973        | 3.0   | 1635 | 2.4906          | 37.9194   |
  | 2.6125        | 4.0   | 2180 | 2.4812          | 38.1180   |
  | 2.5697        | 5.0   | 2725 | 2.4762          | 38.1616   |
  | 2.5086        | 6.0   | 3270 | 2.4773          | 38.1370   |
  | 2.4678        | 7.0   | 3815 | 2.4831          | 37.9346   |
  | 2.4404        | 8.0   | 4360 | 2.4896          | 38.1150   |
  | 2.3866        | 9.0   | 4905 | 2.4775          | 38.2222   |
  | 2.3791        | 10.0  | 5450 | 2.4791          | 38.2862   |
  
  
  ### Framework versions
  
  - Transformers 4.23.0.dev0
  - Pytorch 1.12.1+cu102
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  