readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: recipe-gauss-2
    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-gauss-2
  
  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: 0.4204
  - Rmse: 0.6484
  - Mse: 0.4204
  - Mae: 0.4557
  
  ## 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: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rmse   | Mse    | Mae    |
  |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|
  | 0.4002        | 1.0   | 3029  | 0.4228          | 0.6502 | 0.4228 | 0.4485 |
  | 0.3986        | 2.0   | 6058  | 0.4200          | 0.6481 | 0.4200 | 0.4566 |
  | 0.3985        | 3.0   | 9087  | 0.4217          | 0.6494 | 0.4217 | 0.4515 |
  | 0.3977        | 4.0   | 12116 | 0.4212          | 0.6490 | 0.4212 | 0.4528 |
  | 0.397         | 5.0   | 15145 | 0.4251          | 0.6520 | 0.4251 | 0.4461 |
  | 0.397         | 6.0   | 18174 | 0.4203          | 0.6483 | 0.4203 | 0.4665 |
  | 0.3968        | 7.0   | 21203 | 0.4211          | 0.6489 | 0.4211 | 0.4533 |
  | 0.3964        | 8.0   | 24232 | 0.4208          | 0.6487 | 0.4208 | 0.4543 |
  | 0.3963        | 9.0   | 27261 | 0.4199          | 0.6480 | 0.4199 | 0.4604 |
  | 0.3961        | 10.0  | 30290 | 0.4204          | 0.6484 | 0.4204 | 0.4557 |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.9.0+cu111
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  