readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - samsum
  metrics:
  - rouge
  model-index:
  - name: tst-summarization
    results:
    - task:
        name: Summarization
        type: summarization
      dataset:
        name: samsum
        type: samsum
        config: samsum
        split: train
        args: samsum
      metrics:
      - name: Rouge1
        type: rouge
        value: 44.9509
  ---
  
  
  # tst-summarization
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the samsum dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.6972
  - Rouge1: 44.9509
  - Rouge2: 21.7162
  - Rougel: 37.7582
  - Rougelsum: 41.7239
  - Gen Len: 22.7714
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3.0
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cpu
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  