readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bart-base-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-base-asqa-ob
  
  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.8291
  - Rougelsum: 13.0645
  
  ## 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  | 1.9076          | 13.1069   |
  | 2.2336        | 2.0   | 710  | 1.8749          | 13.0551   |
  | 2.048         | 3.0   | 1065 | 1.8580          | 13.1287   |
  | 2.048         | 4.0   | 1420 | 1.8413          | 13.1473   |
  | 2.0003        | 5.0   | 1775 | 1.8451          | 13.1264   |
  | 1.9423        | 6.0   | 2130 | 1.8360          | 13.0959   |
  | 1.9423        | 7.0   | 2485 | 1.8372          | 13.1289   |
  | 1.8894        | 8.0   | 2840 | 1.8275          | 13.1359   |
  | 1.8568        | 9.0   | 3195 | 1.8241          | 13.0983   |
  | 1.8279        | 10.0  | 3550 | 1.8279          | 13.0184   |
  | 1.8279        | 11.0  | 3905 | 1.8275          | 13.1177   |
  | 1.7871        | 12.0  | 4260 | 1.8279          | 13.0871   |
  | 1.7666        | 13.0  | 4615 | 1.8295          | 13.0992   |
  | 1.7666        | 14.0  | 4970 | 1.8291          | 13.0645   |
  
  
  ### Framework versions
  
  - Transformers 4.23.0.dev0
  - Pytorch 1.12.1+cu102
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  