readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - summarize_from_feedback
  metrics:
  - rouge
  model-index:
  - name: flan-t5-large-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: 30.2401
      - name: Rouge2
        type: rouge
        value: 11.4916
      - name: RougeL
        type: rouge
        value: 24.6485
      - name: RougeLSum
        type: rouge
        value: 26.1801
  pipeline_tag: summarization
  ---
  
  <!-- 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-large-finetuned-openai-summarize_from_feedback
  
  This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the summarize_from_feedback dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.3118
  - Rouge1: 30.2401
  - Rouge2: 11.4916
  - Rougel: 24.6485
  - Rougelsum: 26.1801
  - Gen Len: 18.8428
  
  ## 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
  
  See [Tensorboard](https://huggingface.co/mrm8488/flan-t5-large-finetuned-openai-summarize_from_feedback/tensorboard)
  
  
  ### Citation
  
  ```
  @misc {manuel_romero_2023,
  	author       = { {Manuel Romero} },
  	title        = { flan-t5-large-finetuned-openai-summarize_from_feedback (Revision 51666f9) },
  	year         = 2023,
  	url          = { https://huggingface.co/mrm8488/flan-t5-large-finetuned-openai-summarize_from_feedback },
  	doi          = { 10.57967/hf/0266 },
  	publisher    = { Hugging Face }
  }
  ```
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2