readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: recipe-reg
    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. -->
  
  # recipe-reg
  
  This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.3717
  - Rmse: 1.8362
  - Mse: 3.3717
  - Mae: 1.6145
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 15
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss | Rmse   | Mse    | Mae    |
  |:-------------:|:-----:|:------:|:---------------:|:------:|:------:|:------:|
  | 3.3247        | 1.0   | 12809  | 3.3717          | 1.8362 | 3.3717 | 1.6145 |
  | 3.3238        | 2.0   | 25618  | 3.3722          | 1.8363 | 3.3722 | 1.6145 |
  | 3.3217        | 3.0   | 38427  | 3.3718          | 1.8362 | 3.3718 | 1.6145 |
  | 3.3215        | 4.0   | 51236  | 3.3754          | 1.8372 | 3.3754 | 1.6145 |
  | 3.3203        | 5.0   | 64045  | 3.3721          | 1.8363 | 3.3721 | 1.6145 |
  | 3.3199        | 6.0   | 76854  | 3.3731          | 1.8366 | 3.3731 | 1.6145 |
  | 3.319         | 7.0   | 89663  | 3.3731          | 1.8366 | 3.3731 | 1.6145 |
  | 3.3188        | 8.0   | 102472 | 3.3717          | 1.8362 | 3.3717 | 1.6145 |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.9.0+cu111
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  