readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-cnn-science-v3-e3
    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-v3-e3
  
  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: 0.8586
  - Rouge1: 53.3497
  - Rouge2: 34.0001
  - Rougel: 35.6149
  - Rougelsum: 50.5723
  - Gen Len: 141.3519
  
  ## 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: 3
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
  | No log        | 1.0   | 398  | 0.9977          | 51.8104 | 31.5395 | 33.6887 | 49.2385   | 142.0    |
  | 1.1785        | 2.0   | 796  | 0.8875          | 53.7817 | 34.5394 | 35.9556 | 51.3317   | 141.537  |
  | 0.7376        | 3.0   | 1194 | 0.8586          | 53.3497 | 34.0001 | 35.6149 | 50.5723   | 141.3519 |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  