readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - summarize_from_feedback
  metrics:
  - rouge
  model-index:
  - name: flan-t5-base-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: 29.3494
  ---
  
  <!-- 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-finetuned-openai-summarize_from_feedback
  
  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the summarize_from_feedback dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.8833
  - Rouge1: 29.3494
  - Rouge2: 10.9406
  - Rougel: 23.9907
  - Rougelsum: 25.461
  - Gen Len: 18.9265
  
  ## 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: 16
  - eval_batch_size: 32
  - 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 |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 1.7678        | 1.0   | 5804  | 1.8833          | 29.3494 | 10.9406 | 23.9907 | 25.461    | 18.9265 |
  | 1.5839        | 2.0   | 11608 | 1.8992          | 29.6239 | 11.1795 | 24.2927 | 25.7183   | 18.9358 |
  | 1.4812        | 3.0   | 17412 | 1.8929          | 29.8899 | 11.2855 | 24.4193 | 25.9219   | 18.9189 |
  | 1.4198        | 4.0   | 23216 | 1.8939          | 29.8897 | 11.2606 | 24.3262 | 25.8642   | 18.9309 |
  | 1.3612        | 5.0   | 29020 | 1.9105          | 29.8469 | 11.2112 | 24.2483 | 25.7884   | 18.9396 |
  | 1.3279        | 6.0   | 34824 | 1.9170          | 30.038  | 11.3426 | 24.4385 | 25.9675   | 18.9328 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  