readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: roberta-base-IMDB_roberta
    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-IMDB_roberta
  
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.1897
  
  ## 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: 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: 16
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 2.7882        | 1.0   | 1250  | 2.4751          |
  | 2.5749        | 2.0   | 2500  | 2.4183          |
  | 2.4501        | 3.0   | 3750  | 2.3799          |
  | 2.3697        | 4.0   | 5000  | 2.3792          |
  | 2.3187        | 5.0   | 6250  | 2.3622          |
  | 2.24          | 6.0   | 7500  | 2.3491          |
  | 2.164         | 7.0   | 8750  | 2.3146          |
  | 2.1187        | 8.0   | 10000 | 2.2804          |
  | 2.0552        | 9.0   | 11250 | 2.2629          |
  | 2.0285        | 10.0  | 12500 | 2.2088          |
  | 1.9807        | 11.0  | 13750 | 2.2061          |
  | 1.9597        | 12.0  | 15000 | 2.2094          |
  | 1.9062        | 13.0  | 16250 | 2.1486          |
  | 1.8766        | 14.0  | 17500 | 2.1348          |
  | 1.8528        | 15.0  | 18750 | 2.1665          |
  | 1.8425        | 16.0  | 20000 | 2.1897          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  