readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: dlub-2022-mlm-full
    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. -->
  
  # dlub-2022-mlm-full
  
  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 8.4308
  
  ## 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: 32
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 9.7809        | 1.0   | 21   | 9.4572          |
  | 9.4021        | 2.0   | 42   | 9.2312          |
  | 9.1448        | 3.0   | 63   | 9.0206          |
  | 8.9608        | 4.0   | 84   | 8.8606          |
  | 8.8125        | 5.0   | 105  | 8.6954          |
  | 8.6717        | 6.0   | 126  | 8.5819          |
  | 8.5944        | 7.0   | 147  | 8.5012          |
  | 8.5245        | 8.0   | 168  | 8.4900          |
  | 8.4856        | 9.0   | 189  | 8.4448          |
  | 8.4563        | 10.0  | 210  | 8.4308          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  