readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: pegasus-base-qag-bg-finetuned-punctuation-bg
    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. -->
  
  # pegasus-base-qag-bg-finetuned-punctuation-bg
  
  This model is a fine-tuned version of [rmihaylov/pegasus-base-qag-bg](https://huggingface.co/rmihaylov/pegasus-base-qag-bg) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0318
  
  ## 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: 5.6e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 8
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.0563        | 1.0   | 4063  | 0.0279          |
  | 0.0301        | 2.0   | 8126  | 0.0260          |
  | 0.0227        | 3.0   | 12189 | 0.0259          |
  | 0.0178        | 4.0   | 16252 | 0.0281          |
  | 0.0145        | 5.0   | 20315 | 0.0290          |
  | 0.0122        | 6.0   | 24378 | 0.0300          |
  | 0.0105        | 7.0   | 28441 | 0.0305          |
  | 0.0095        | 8.0   | 32504 | 0.0318          |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  