readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-large-cnn-1000-pad-early-lit
    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-large-cnn-1000-pad-early-lit
  
  This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4800
  - Rouge1: 28.4538
  - Rouge2: 13.5656
  - Rougel: 22.2066
  - Rougelsum: 25.3361
  - Gen Len: 66.53
  
  ## 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: 1
  - eval_batch_size: 1
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 0.1556        | 1.0   | 1000 | 0.4383          | 29.1275 | 14.1415 | 22.5802 | 26.37     | 65.93   |
  | 0.0853        | 2.0   | 2000 | 0.4800          | 28.4538 | 13.5656 | 22.2066 | 25.3361   | 66.53   |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.10.2
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  