readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - stackexchange_titlebody_best_voted_answer_jsonl
  metrics:
  - rouge
  model-index:
  - name: flan-t5-base-flant5-apple-support
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: stackexchange_titlebody_best_voted_answer_jsonl
        type: stackexchange_titlebody_best_voted_answer_jsonl
        config: apple
        split: train[:10%]
        args: apple
      metrics:
      - name: Rouge1
        type: rouge
        value: 12.7991
  ---
  
  <!-- 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-flant5-apple-support
  
  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the stackexchange_titlebody_best_voted_answer_jsonl dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.9676
  - Rouge1: 12.7991
  - Rouge2: 2.244
  - Rougel: 9.8075
  - Rougelsum: 11.3618
  - Gen Len: 18.9087
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
  | 3.2673        | 1.0   | 1157 | 3.0350          | 12.4094 | 2.1794 | 9.5255 | 10.9739   | 18.9723 |
  | 3.1854        | 2.0   | 2314 | 2.9992          | 12.4579 | 2.1512 | 9.5232 | 11.0049   | 18.9647 |
  | 3.1006        | 3.0   | 3471 | 2.9792          | 12.9794 | 2.2794 | 9.9245 | 11.5019   | 18.9436 |
  | 3.0751        | 4.0   | 4628 | 2.9711          | 12.6779 | 2.1828 | 9.6962 | 11.221    | 18.9137 |
  | 3.0532        | 5.0   | 5785 | 2.9676          | 12.7991 | 2.244  | 9.8075 | 11.3618   | 18.9087 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu117
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  