readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: roberta-base-university-writing2
    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. -->
  
  # roberta-base-university-writing2
  
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.5392
  
  ## 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: 5e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 16
  - total_train_batch_size: 128
  - optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
  - lr_scheduler_type: linear
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 20
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.8142        | 0.99  | 82   | 1.6699          |
  | 1.755         | 1.99  | 164  | 1.6330          |
  | 1.7135        | 2.99  | 246  | 1.6195          |
  | 1.6895        | 3.99  | 328  | 1.6024          |
  | 1.6622        | 4.99  | 410  | 1.5921          |
  | 1.644         | 5.99  | 492  | 1.5745          |
  | 1.6321        | 6.99  | 574  | 1.5762          |
  | 1.6194        | 7.99  | 656  | 1.5857          |
  | 1.606         | 8.99  | 738  | 1.5607          |
  | 1.5931        | 9.99  | 820  | 1.5649          |
  | 1.5846        | 10.99 | 902  | 1.5547          |
  | 1.5753        | 11.99 | 984  | 1.5451          |
  | 1.5691        | 12.99 | 1066 | 1.5355          |
  | 1.5645        | 13.99 | 1148 | 1.5409          |
  | 1.5521        | 14.99 | 1230 | 1.5207          |
  | 1.5471        | 15.99 | 1312 | 1.5367          |
  | 1.5463        | 16.99 | 1394 | 1.5476          |
  | 1.5412        | 17.99 | 1476 | 1.5065          |
  | 1.5409        | 18.99 | 1558 | 1.5333          |
  | 1.5331        | 19.99 | 1640 | 1.5123          |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  