readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bart-base-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-base-asqa-cb
  
  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the [ASQA](https://huggingface.co/datasets/din0s/asqa) dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.7878
  - Rougelsum: 36.5701
  
  ## 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  | 2.9082          | 35.2452   |
  | 3.4369        | 2.0   | 546  | 2.8642          | 35.9217   |
  | 3.4369        | 3.0   | 819  | 2.8426          | 35.9304   |
  | 3.1616        | 4.0   | 1092 | 2.8310          | 36.2562   |
  | 3.1616        | 5.0   | 1365 | 2.8193          | 36.4633   |
  | 3.0814        | 6.0   | 1638 | 2.8091          | 36.6044   |
  | 3.0814        | 7.0   | 1911 | 2.8069          | 36.6191   |
  | 3.0165        | 8.0   | 2184 | 2.8026          | 36.6380   |
  | 3.0165        | 9.0   | 2457 | 2.7978          | 36.6962   |
  | 2.9724        | 10.0  | 2730 | 2.7965          | 36.5703   |
  | 2.9282        | 11.0  | 3003 | 2.7926          | 36.5339   |
  | 2.9282        | 12.0  | 3276 | 2.7916          | 36.5093   |
  | 2.8996        | 13.0  | 3549 | 2.7911          | 36.4693   |
  | 2.8996        | 14.0  | 3822 | 2.7904          | 36.3852   |
  | 2.8803        | 15.0  | 4095 | 2.7888          | 36.6173   |
  | 2.8803        | 16.0  | 4368 | 2.7881          | 36.5282   |
  | 2.8653        | 17.0  | 4641 | 2.7885          | 36.6131   |
  | 2.8653        | 18.0  | 4914 | 2.7878          | 36.6120   |
  | 2.8558        | 19.0  | 5187 | 2.7877          | 36.5637   |
  | 2.8558        | 20.0  | 5460 | 2.7878          | 36.5701   |
  
  
  ### Framework versions
  
  - Transformers 4.23.0.dev0
  - Pytorch 1.12.1+cu102
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  