readme: ---
  license: mit
  tags:
  - generated_from_trainer
  datasets:
  - elsevier-oa-cc-by
  model-index:
  - name: roberta-base-finetuned-academic
    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-finetuned-academic
  
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the elsevier-oa-cc-by dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.1158
  
  ## 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: 0.0001
  - train_batch_size: 32
  - eval_batch_size: 32
  - 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
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.1903        | 0.25  | 1025  | 2.0998          |
  | 2.1752        | 0.5   | 2050  | 2.1186          |
  | 2.1864        | 0.75  | 3075  | 2.1073          |
  | 2.1874        | 1.0   | 4100  | 2.1177          |
  | 2.1669        | 1.25  | 5125  | 2.1091          |
  | 2.1859        | 1.5   | 6150  | 2.1212          |
  | 2.1783        | 1.75  | 7175  | 2.1096          |
  | 2.1734        | 2.0   | 8200  | 2.0998          |
  | 2.1712        | 2.25  | 9225  | 2.0972          |
  | 2.1812        | 2.5   | 10250 | 2.1051          |
  | 2.1811        | 2.75  | 11275 | 2.1150          |
  | 2.1826        | 3.0   | 12300 | 2.1097          |
  | 2.172         | 3.25  | 13325 | 2.1115          |
  | 2.1745        | 3.5   | 14350 | 2.1098          |
  | 2.1758        | 3.75  | 15375 | 2.1101          |
  | 2.1834        | 4.0   | 16400 | 2.1232          |
  | 2.1836        | 4.25  | 17425 | 2.1052          |
  | 2.1791        | 4.5   | 18450 | 2.1186          |
  | 2.172         | 4.75  | 19475 | 2.1039          |
  | 2.1797        | 5.0   | 20500 | 2.1015          |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  