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[:2%]
        args: apple
      metrics:
      - name: Rouge1
        type: rouge
        value: 12.4139
  ---
  
  <!-- 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: 3.0475
  - Rouge1: 12.4139
  - Rouge2: 2.0562
  - Rougel: 9.4938
  - Rougelsum: 11.0524
  - Gen Len: 18.9589
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
  | No log        | 1.0   | 232  | 3.0886          | 12.844  | 2.1734 | 9.8971 | 11.3641   | 18.8876 |
  | No log        | 2.0   | 464  | 3.0639          | 12.2909 | 2.1209 | 9.4999 | 10.9458   | 18.9416 |
  | 3.3185        | 3.0   | 696  | 3.0538          | 12.4154 | 2.0984 | 9.4989 | 11.0684   | 18.9492 |
  | 3.3185        | 4.0   | 928  | 3.0489          | 12.7043 | 2.1969 | 9.7356 | 11.3629   | 18.9481 |
  | 3.187         | 5.0   | 1160 | 3.0475          | 12.4139 | 2.0562 | 9.4938 | 11.0524   | 18.9589 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu117
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  