readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bart-large-asqa-ob
    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-ob
  
  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: 1.5919
  - Rougelsum: 19.1048
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:---------:|
  | No log        | 1.0   | 355  | 1.6256          | 18.3700   |
  | 1.8462        | 2.0   | 710  | 1.5966          | 18.3464   |
  | 1.6704        | 3.0   | 1065 | 1.5906          | 18.6009   |
  | 1.6704        | 4.0   | 1420 | 1.5841          | 18.2794   |
  | 1.6087        | 5.0   | 1775 | 1.5852          | 18.4272   |
  | 1.5364        | 6.0   | 2130 | 1.5989          | 18.9977   |
  | 1.5364        | 7.0   | 2485 | 1.5902          | 18.7631   |
  | 1.4746        | 8.0   | 2840 | 1.5917          | 18.9565   |
  | 1.4336        | 9.0   | 3195 | 1.5919          | 19.1048   |
  
  
  ### Framework versions
  
  - Transformers 4.23.0.dev0
  - Pytorch 1.12.1+cu102
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  