readme: ---
  tags:
  - paraphrasing
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: pegasus-xsum-finetuned-paws-parasci
    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-xsum-finetuned-paws-parasci
  
  This model is a fine-tuned version of [domenicrosati/pegasus-xsum-finetuned-paws](https://huggingface.co/domenicrosati/pegasus-xsum-finetuned-paws) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.2256
  - Rouge1: 61.8854
  - Rouge2: 43.1061
  - Rougel: 57.421
  - Rougelsum: 57.4417
  
  ## 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: 0.0001
  - 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
  - training_steps: 4000
  - mixed_precision_training: Native AMP
  - label_smoothing_factor: 0.1
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | No log        | 0.05  | 1000 | 3.8024          | 49.471  | 24.8024 | 43.4857 | 43.5552   |
  | No log        | 0.09  | 2000 | 3.6533          | 49.1046 | 24.4038 | 43.0189 | 43.002    |
  | No log        | 0.14  | 3000 | 3.5867          | 49.5026 | 24.748  | 43.3059 | 43.2923   |
  | No log        | 0.19  | 4000 | 3.5613          | 49.4319 | 24.5444 | 43.2225 | 43.1965   |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  