readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: recipe-lr1e05-wd0.1-bs16
    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-bs16
  
  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: 0.2794
  - Rmse: 0.5286
  - Mse: 0.2794
  - Mae: 0.4343
  
  ## 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: 128
  - eval_batch_size: 128
  - 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    |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
  | 0.2767        | 1.0   | 1245 | 0.2744          | 0.5239 | 0.2744 | 0.4124 |
  | 0.2739        | 2.0   | 2490 | 0.2757          | 0.5250 | 0.2757 | 0.4211 |
  | 0.2727        | 3.0   | 3735 | 0.2794          | 0.5286 | 0.2794 | 0.4343 |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.9.0+cu111
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  