readme: ---
  
  model-index:
  - name: reformer-clm
  ---
  ## reformer-clm
  
  This casual language model was trained from scratch on CNN/Dailymail dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.7783
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss |
  |:-------------:|:-----:|:------:|:---------------:|
  | 3.8321        | 1.0   | 18412  | 3.8074          |
  | 3.4965        | 2.0   | 36824  | 3.4223          |
  | 3.1927        | 3.0   | 55236  | 3.0815          |
  | 3.046         | 4.0   | 73648  | 2.9270          |
  | 2.9781        | 5.0   | 92060  | 2.8515          |
  | 2.9398        | 6.0   | 110472 | 2.8082          |
  | 2.9293        | 7.0   | 128884 | 2.7904          |
  | 2.9212        | 8.0   | 147296 | 2.7817          |
  | 2.9169        | 9.0   | 165708 | 2.7787          |
  | 2.9197        | 10.0  | 184120 | 2.7783          |
  
  
  ### Framework versions
  
  - Transformers 4.6.1
  - Pytorch 1.9.0
  - Datasets 1.2.1
  - Tokenizers 0.10.3
  