readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-cnn-science-v4-e6-manual
    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-cnn-science-v4-e6-manual
  
  This model is a fine-tuned version of [theojolliffe/bart-cnn-science](https://huggingface.co/theojolliffe/bart-cnn-science) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.0752
  - Rouge1: 49.2922
  - Rouge2: 27.0916
  - Rougel: 29.2754
  - Rougelsum: 46.4762
  - Gen Len: 140.8
  
  ## 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: 6
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 42   | 1.5703          | 45.3807 | 24.4571 | 27.901  | 42.7866   | 142.0   |
  | No log        | 2.0   | 84   | 1.5729          | 46.8902 | 24.2952 | 27.8304 | 43.9581   | 142.0   |
  | No log        | 3.0   | 126  | 1.7025          | 48.836  | 26.917  | 30.1325 | 45.7887   | 142.0   |
  | No log        | 4.0   | 168  | 1.8526          | 48.906  | 26.8641 | 30.4677 | 46.1825   | 139.2   |
  | No log        | 5.0   | 210  | 1.9818          | 51.145  | 28.834  | 30.1862 | 48.6876   | 141.8   |
  | No log        | 6.0   | 252  | 2.0752          | 49.2922 | 27.0916 | 29.2754 | 46.4762   | 140.8   |
  
  
  ### Framework versions
  
  - Transformers 4.20.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  