readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: parrot_paraphraser_on_T5-finetuned-xsum-v0
    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-v0
  
  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: 0.4418
  - Rouge1: 79.364
  - Rouge2: 74.776
  - Rougel: 78.997
  - Rougelsum: 78.7013
  - Gen Len: 18.6789
  
  ## 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: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 216  | 0.5427          | 79.4586 | 74.9115 | 78.8483 | 78.6557   | 18.6972 |
  | No log        | 2.0   | 432  | 0.4922          | 79.5229 | 74.8555 | 78.7762 | 78.5797   | 18.6881 |
  | 0.5974        | 3.0   | 648  | 0.4628          | 79.4743 | 74.7622 | 78.7621 | 78.5631   | 18.6881 |
  | 0.5974        | 4.0   | 864  | 0.4517          | 79.6842 | 75.2876 | 79.3457 | 79.0682   | 18.6881 |
  | 0.4292        | 5.0   | 1080 | 0.4451          | 79.6571 | 75.2248 | 79.2939 | 79.0412   | 18.6881 |
  | 0.4292        | 6.0   | 1296 | 0.4409          | 79.3363 | 74.6763 | 78.9595 | 78.7335   | 18.6789 |
  | 0.3367        | 7.0   | 1512 | 0.4398          | 79.364  | 74.776  | 78.997  | 78.7013   | 18.6789 |
  | 0.3367        | 8.0   | 1728 | 0.4407          | 79.364  | 74.776  | 78.997  | 78.7013   | 18.6789 |
  | 0.3367        | 9.0   | 1944 | 0.4413          | 79.364  | 74.776  | 78.997  | 78.7013   | 18.6789 |
  | 0.3012        | 10.0  | 2160 | 0.4418          | 79.364  | 74.776  | 78.997  | 78.7013   | 18.6789 |
  
  
  ### Framework versions
  
  - Transformers 4.22.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  