readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - null
  model_index:
  - name: bart-mlm
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
  ---
  
  <!-- 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-mlm
  
  This model is a fine-tuned version of [mwesner/bart-mlm](https://huggingface.co/mwesner/bart-mlm) on the CNN/Dailymail dataset.
  It achieves the following results on the evaluation set:
  - Loss: 7.5338
  
  ## 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: 0.001
  - train_batch_size: 2
  - eval_batch_size: 2
  - seed: 42
  - gradient_accumulation_steps: 8
  - total_train_batch_size: 16
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine_with_restarts
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 7.5202        | 1.0   | 15237 | 7.5964          |
  | 7.5151        | 2.0   | 30474 | 7.5400          |
  | 7.5157        | 3.0   | 45711 | 7.5351          |
  | 7.5172        | 4.0   | 60948 | 7.5317          |
  | 7.5108        | 5.0   | 76185 | 7.5338          |
  
  
  ### Framework versions
  
  - Transformers 4.8.1
  - Pytorch 1.9.0
  - Datasets 1.11.0
  - Tokenizers 0.10.3
  