readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - squad
  metrics:
  - rouge
  model-index:
  - name: bart-finetuned-squad
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: squad
        type: squad
        config: plain_text
        split: train
        args: plain_text
      metrics:
      - name: Rouge1
        type: rouge
        value: 50.1505
  ---
  
  <!-- 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. -->
  
  # bart-finetuned-squad
  
  This model is a fine-tuned version of [p208p2002/bart-squad-qg-hl](https://huggingface.co/p208p2002/bart-squad-qg-hl) on the squad dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.8813
  - Rouge1: 50.1505
  - Rouge2: 26.8606
  - Rougel: 46.0203
  - Rougelsum: 46.0242
  
  ## 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: 5.6e-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: 8
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | 1.5702        | 1.0   | 125  | 1.4266          | 49.7474 | 26.6965 | 46.3227 | 46.342    |
  | 0.84          | 2.0   | 250  | 1.4845          | 49.8379 | 26.3973 | 45.126  | 45.1791   |
  | 0.535         | 3.0   | 375  | 1.6037          | 50.1413 | 27.4581 | 46.7795 | 46.8001   |
  | 0.3621        | 4.0   | 500  | 1.6899          | 49.6087 | 25.9818 | 45.0914 | 45.1004   |
  | 0.2448        | 5.0   | 625  | 1.7540          | 49.7468 | 26.5312 | 45.5623 | 45.5296   |
  | 0.1756        | 6.0   | 750  | 1.8287          | 49.4987 | 26.2315 | 45.3515 | 45.4214   |
  | 0.13          | 7.0   | 875  | 1.8809          | 49.6426 | 26.4688 | 45.5167 | 45.5427   |
  | 0.1016        | 8.0   | 1000 | 1.8813          | 50.1505 | 26.8606 | 46.0203 | 46.0242   |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.0
  - Tokenizers 0.13.2
  