readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: recipe-lr1e05-wd0.1-bs8
    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-lr1e05-wd0.1-bs8
  
  This model is a fine-tuned version of [paola-md/recipe-distilroberta-Is](https://huggingface.co/paola-md/recipe-distilroberta-Is) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2779
  - Rmse: 0.5271
  - Mse: 0.2779
  - Mae: 0.4280
  
  ## 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: 1e-05
  - train_batch_size: 64
  - eval_batch_size: 64
  - 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
  | 0.2766        | 1.0   | 2490 | 0.2740          | 0.5235 | 0.2740 | 0.4175 |
  | 0.2738        | 2.0   | 4980 | 0.2785          | 0.5277 | 0.2785 | 0.4296 |
  | 0.2724        | 3.0   | 7470 | 0.2779          | 0.5271 | 0.2779 | 0.4280 |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.9.0+cu111
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  