readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: bart-large-cnn-100-lit-evalMA
    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-100-lit-evalMA
  
  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:
  - eval_loss: 2.1514
  - eval_rouge1: 27.8026
  - eval_rouge2: 11.2998
  - eval_rougeL: 21.4708
  - eval_rougeLsum: 24.6333
  - eval_gen_len: 62.5
  - eval_runtime: 25.6587
  - eval_samples_per_second: 0.39
  - eval_steps_per_second: 0.39
  - epoch: 2.0
  - step: 200
  
  ## 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: 5
  - mixed_precision_training: Native AMP
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.10.2
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  