readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  - summarization
  datasets:
  - xsum
  - autoevaluate/xsum-sample
  metrics:
  - rouge
  duplicated_from: autoevaluate/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. -->
  
  # summarization
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.6690
  - Rouge1: 23.9405
  - Rouge2: 5.0879
  - Rougel: 18.4981
  - Rougelsum: 18.5032
  - Gen Len: 18.7376
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - training_steps: 1000
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 2.9249        | 0.08  | 1000 | 2.6690          | 23.9405 | 5.0879 | 18.4981 | 18.5032   | 18.7376 |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  