readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - samsum
  metrics:
  - rouge
  model-index:
  - name: flan-t5-base-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: 47.2358
  ---
  
  <!-- 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. -->
  
  # flan-t5-base-samsum
  
  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3716
  - Rouge1: 47.2358
  - Rouge2: 23.5135
  - Rougel: 39.6266
  - Rougelsum: 43.3458
  - Gen Len: 17.3907
  
  ## 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 1.4379        | 1.0   | 1842 | 1.3805          | 47.1075 | 23.531  | 39.6919 | 43.549    | 17.1197 |
  | 1.3559        | 2.0   | 3684 | 1.3716          | 47.2358 | 23.5135 | 39.6266 | 43.3458   | 17.3907 |
  | 1.2783        | 3.0   | 5526 | 1.3721          | 47.4581 | 23.7339 | 39.7726 | 43.4568   | 17.1832 |
  | 1.2378        | 4.0   | 7368 | 1.3757          | 47.8557 | 24.0593 | 40.2324 | 44.0085   | 17.3053 |
  | 1.1983        | 5.0   | 9210 | 1.3751          | 47.8156 | 24.0038 | 40.2169 | 43.8918   | 17.3040 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.8.0
  - Tokenizers 0.12.1
  