readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-model2-0810
    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-model2-0810
  
  This model is a fine-tuned version of [theojolliffe/bart-model2-1409](https://huggingface.co/theojolliffe/bart-model2-1409) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2627
  - Rouge1: 58.8322
  - Rouge2: 56.2696
  - Rougel: 58.8934
  - Rougelsum: 58.3106
  - Gen Len: 19.2222
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 169  | 0.3839          | 53.2948 | 45.0992 | 52.1785 | 53.8143   | 18.0    |
  | No log        | 2.0   | 338  | 0.3099          | 55.227  | 49.17   | 55.1602 | 55.6483   | 17.8889 |
  | 0.3831        | 3.0   | 507  | 0.2566          | 56.6535 | 52.9359 | 56.1953 | 56.0607   | 18.8889 |
  | 0.3831        | 4.0   | 676  | 0.2627          | 58.8322 | 56.2696 | 58.8934 | 58.3106   | 19.2222 |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.12.1+cu113
  - Datasets 2.5.2
  - Tokenizers 0.12.1
  