readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: pegasus-model3-3110
    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-model3-3110
  
  This model is a fine-tuned version of [theojolliffe/pegasus-model-3-x25](https://huggingface.co/theojolliffe/pegasus-model-3-x25) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1269
  - Rouge1: 72.1367
  - Rouge2: 65.5268
  - Rougel: 65.3716
  - Rougelsum: 71.2474
  - Gen Len: 123.3766
  
  ## 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: 2e-05
  - train_batch_size: 1
  - eval_batch_size: 1
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
  | 0.3788        | 1.0   | 1453 | 0.1890          | 68.8116 | 60.1635 | 61.4549 | 67.7849   | 122.4805 |
  | 0.2309        | 2.0   | 2906 | 0.1269          | 72.1367 | 65.5268 | 65.3716 | 71.2474   | 123.3766 |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  