readme: ---
  metrics:
  - rouge
  
  model-index:
  - name: test-summarization
  ---
  
  <!-- 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. -->
  
  # test-summarization
  
  This model was trained from scratch on an unkown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.4740
  - Rouge1: 28.3487
  - Rouge2: 7.7836
  - Rougel: 22.3307
  - Rougelsum: 22.3357
  - Gen Len: 18.8307
  
  ## 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: 14
  - eval_batch_size: 14
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 1
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 2.7042        | 1.0   | 14575 | 2.4740          | 28.3487 | 7.7836 | 22.3307 | 22.3357   | 18.8307 |
  
  
  ### Framework versions
  
  - Transformers 4.6.1
  - Pytorch 1.7.0
  - Datasets 1.11.0
  - Tokenizers 0.10.3
  