readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: bart-pt-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-pt-asqa-cb
  
  This model is a fine-tuned version of [vblagoje/bart_lfqa](https://huggingface.co/vblagoje/bart_lfqa) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.5362
  - Rougelsum: 38.9467
  
  ## 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: 16
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|
  | No log        | 1.0   | 273  | 2.5653          | 37.6939   |
  | 2.6009        | 2.0   | 546  | 2.5295          | 38.2398   |
  | 2.6009        | 3.0   | 819  | 2.5315          | 38.5946   |
  | 2.3852        | 4.0   | 1092 | 2.5146          | 38.4771   |
  | 2.3852        | 5.0   | 1365 | 2.5240          | 38.5706   |
  | 2.2644        | 6.0   | 1638 | 2.5253          | 38.7506   |
  | 2.2644        | 7.0   | 1911 | 2.5355          | 38.9004   |
  | 2.1703        | 8.0   | 2184 | 2.5309          | 38.9528   |
  | 2.1703        | 9.0   | 2457 | 2.5362          | 38.9467   |
  
  
  ### Framework versions
  
  - Transformers 4.23.0.dev0
  - Pytorch 1.12.1+cu102
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  