readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: medium
    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. -->
  
  # medium
  
  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: 0.6025
  - Rouge1: 81.6007
  - Rouge2: 75.1196
  - Rougel: 81.4213
  - Rougelsum: 81.4956
  - Gen Len: 32.4286
  
  ## 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: 5e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 63   | 0.5775          | 65.0748 | 58.8985 | 64.5731 | 63.6249   | 19.0    |
  | No log        | 2.0   | 126  | 0.5806          | 74.3055 | 69.2025 | 73.4922 | 73.0941   | 17.8571 |
  | No log        | 3.0   | 189  | 0.6025          | 71.3808 | 66.0359 | 70.1235 | 69.4614   | 18.0    |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.10.1+cu113
  - Datasets 1.17.0
  - Tokenizers 0.10.3
  