readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-model2-0611-e4
    results: []
  ---
  
  <!-- 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-model2-0611-e4
  
  This model is a fine-tuned version of [theojolliffe/bart-paraphrase-v4-e1-feedback](https://huggingface.co/theojolliffe/bart-paraphrase-v4-e1-feedback) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1594
  - Rouge1: 60.6252
  - Rouge2: 57.2694
  - Rougel: 60.2575
  - Rougelsum: 60.3721
  - Gen Len: 20.0
  
  ## 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: 2e-05
  - train_batch_size: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 4
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 0.5809        | 1.0   | 624  | 0.3684          | 58.0755 | 49.7811 | 56.3216 | 56.4602   | 19.8485 |
  | 0.2627        | 2.0   | 1248 | 0.2291          | 58.4775 | 54.4415 | 58.3879 | 58.1972   | 20.0    |
  | 0.1537        | 3.0   | 1872 | 0.1848          | 60.3497 | 56.6674 | 60.1125 | 59.9956   | 20.0    |
  | 0.1152        | 4.0   | 2496 | 0.1594          | 60.6252 | 57.2694 | 60.2575 | 60.3721   | 20.0    |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  