readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: roberta-base-culinary
    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-culinary
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1032
  
  ## 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: linear
  - num_epochs: 16
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss |
  |:-------------:|:-----:|:------:|:---------------:|
  | 1.5135        | 1.0   | 39823  | 1.4635          |
  | 1.454         | 2.0   | 79646  | 1.3753          |
  | 1.3924        | 3.0   | 119469 | 1.3375          |
  | 1.3379        | 4.0   | 159292 | 1.2886          |
  | 1.2969        | 5.0   | 199115 | 1.2595          |
  | 1.2495        | 6.0   | 238938 | nan             |
  | 1.1768        | 7.0   | 278761 | 1.2283          |
  | 1.1687        | 8.0   | 318584 | 1.2109          |
  | 1.2148        | 9.0   | 358407 | 1.1671          |
  | 1.133         | 10.0  | 398230 | 1.1721          |
  | 1.0882        | 11.0  | 438053 | 1.1624          |
  | 1.0749        | 12.0  | 477876 | 1.1321          |
  | 1.092         | 13.0  | 517699 | nan             |
  | 1.0594        | 14.0  | 557522 | 1.1186          |
  | 1.0292        | 15.0  | 597345 | 1.1074          |
  | 0.9973        | 16.0  | 637168 | 1.1032          |
  
  
  ### Framework versions
  
  - Transformers 4.22.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  