readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: parrot_paraphraser_on_T5-finetuned-xsum-v6
    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. -->
  
  # parrot_paraphraser_on_T5-finetuned-xsum-v6
  
  This model is a fine-tuned version of [prithivida/parrot_paraphraser_on_T5](https://huggingface.co/prithivida/parrot_paraphraser_on_T5) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0428
  - Rouge1: 86.1908
  - Rouge2: 84.358
  - Rougel: 86.1439
  - Rougelsum: 86.1806
  - Gen Len: 17.887
  
  ## 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: 2
  - eval_batch_size: 2
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 0.0783        | 1.0   | 2000 | 0.0467          | 86.0347 | 84.0897 | 85.9987 | 86.0282   | 17.889  |
  | 0.058         | 2.0   | 4000 | 0.0428          | 86.1908 | 84.358  | 86.1439 | 86.1806   | 17.887  |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  