readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - samsum
  metrics:
  - rouge
  model-index:
  - name: switch-base-8-finetuned-samsum
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: samsum
        type: samsum
        config: samsum
        split: train
        args: samsum
      metrics:
      - name: Rouge1
        type: rouge
        value: 46.5651
  ---
  
  <!-- 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. -->
  
  # switch-base-8-finetuned-samsum
  
  This model is a fine-tuned version of [google/switch-base-8](https://huggingface.co/google/switch-base-8) on the samsum dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4606
  - Rouge1: 46.5651
  - Rouge2: 23.2378
  - Rougel: 39.4484
  - Rougelsum: 43.1011
  - Gen Len: 17.0183
  
  ## 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 1.8829        | 1.0   | 3683  | 1.5154          | 46.3805 | 23.0982 | 39.0612 | 43.0142   | 17.6296 |
  | 1.6207        | 2.0   | 7366  | 1.4578          | 47.7434 | 24.9471 | 40.6481 | 44.351    | 17.2066 |
  | 1.442         | 3.0   | 11049 | 1.4360          | 47.6903 | 24.9954 | 40.713  | 44.3487   | 17.0501 |
  | 1.3103        | 4.0   | 14732 | 1.4396          | 48.4517 | 25.7725 | 41.5212 | 45.1211   | 16.9071 |
  | 1.2393        | 5.0   | 18415 | 1.4445          | 48.4002 | 25.8727 | 41.5361 | 45.0467   | 16.9804 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  