readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - summarize_from_feedback
  metrics:
  - rouge
  model-index:
  - name: flan-t5-small-finetuned-openai-summarize_from_feedback
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: summarize_from_feedback
        type: summarize_from_feedback
        config: comparisons
        split: train
        args: comparisons
      metrics:
      - name: Rouge1
        type: rouge
        value: 27.2966
  ---
  
  <!-- 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 (small) fine-tuned on OpenAI summarize_from_feedback for summarizing 
  
  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the summarize_from_feedback dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.1488
  - Rouge1: 27.2966
  - Rouge2: 9.5886
  - Rougel: 22.1999
  - Rougelsum: 23.6317
  - Gen Len: 18.9310
  
  ## 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: 32
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 6
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 2.2472        | 1.0   | 2902  | 2.1882          | 26.2033 | 8.83   | 21.3673 | 22.7758   | 18.9234 |
  | 2.1142        | 2.0   | 5804  | 2.1608          | 27.1972 | 9.4269 | 22.1761 | 23.6252   | 18.8796 |
  | 2.0484        | 3.0   | 8706  | 2.1524          | 27.0963 | 9.4578 | 21.9866 | 23.5124   | 18.9033 |
  | 2.0055        | 4.0   | 11608 | 2.1519          | 27.2428 | 9.5514 | 22.1542 | 23.6036   | 18.9347 |
  | 1.9647        | 5.0   | 14510 | 2.1488          | 27.2966 | 9.5886 | 22.1999 | 23.6317   | 18.9310 |
  | 1.9547        | 6.0   | 17412 | 2.1488          | 27.5602 | 9.673  | 22.3768 | 23.8399   | 18.9236 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  