readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: pegasus-model3-0810
    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-model3-0810
  
  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: 0.0128
  - Rouge1: 74.5218
  - Rouge2: 73.9903
  - Rougel: 74.4946
  - Rougelsum: 74.7509
  - Gen Len: 122.9655
  
  ## 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: 4
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
  | 0.3663        | 1.0   | 547  | 0.0960          | 70.3803 | 65.6296 | 64.7957 | 69.7556   | 122.7241 |
  | 0.127         | 2.0   | 1094 | 0.0276          | 74.3121 | 73.3963 | 74.026  | 74.502    | 122.9655 |
  | 0.0706        | 3.0   | 1641 | 0.0157          | 74.4541 | 73.5817 | 74.1314 | 74.5238   | 122.9655 |
  | 0.046         | 4.0   | 2188 | 0.0128          | 74.5218 | 73.9903 | 74.4946 | 74.7509   | 122.9655 |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.2
  - Tokenizers 0.12.1
  