readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: recipe-roberta-is
    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-roberta-is
  
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.8382
  
  ## 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: 256
  - eval_batch_size: 256
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.334         | 1.0   | 961   | 1.1217          |
  | 1.1638        | 2.0   | 1922  | 1.0369          |
  | 1.0936        | 3.0   | 2883  | 0.9922          |
  | 1.0503        | 4.0   | 3844  | 0.9606          |
  | 1.0188        | 5.0   | 4805  | 0.9314          |
  | 0.9953        | 6.0   | 5766  | 0.9256          |
  | 0.9769        | 7.0   | 6727  | 0.9109          |
  | 0.9599        | 8.0   | 7688  | 0.8978          |
  | 0.9461        | 9.0   | 8649  | 0.8813          |
  | 0.9377        | 10.0  | 9610  | 0.8777          |
  | 0.9253        | 11.0  | 10571 | 0.8755          |
  | 0.918         | 12.0  | 11532 | 0.8601          |
  | 0.9112        | 13.0  | 12493 | 0.8541          |
  | 0.9043        | 14.0  | 13454 | 0.8548          |
  | 0.8984        | 15.0  | 14415 | 0.8470          |
  | 0.8958        | 16.0  | 15376 | 0.8412          |
  | 0.8914        | 17.0  | 16337 | 0.8345          |
  | 0.8882        | 18.0  | 17298 | 0.8353          |
  | 0.8871        | 19.0  | 18259 | 0.8344          |
  | 0.8839        | 20.0  | 19220 | 0.8382          |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.11.0+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  