readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: recipe-roberta-tis
    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-tis
  
  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: 0.8491
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.3552        | 1.0   | 1012  | 1.1292          |
  | 1.1811        | 2.0   | 2024  | 1.0543          |
  | 1.1095        | 3.0   | 3036  | 1.0122          |
  | 1.0667        | 4.0   | 4048  | 0.9756          |
  | 1.0345        | 5.0   | 5060  | 0.9478          |
  | 1.0112        | 6.0   | 6072  | 0.9292          |
  | 0.9922        | 7.0   | 7084  | 0.9137          |
  | 0.9762        | 8.0   | 8096  | 0.9056          |
  | 0.9627        | 9.0   | 9108  | 0.8977          |
  | 0.9507        | 10.0  | 10120 | 0.8868          |
  | 0.9411        | 11.0  | 11132 | 0.8823          |
  | 0.9344        | 12.0  | 12144 | 0.8745          |
  | 0.9261        | 13.0  | 13156 | 0.8688          |
  | 0.9189        | 14.0  | 14168 | 0.8614          |
  | 0.9133        | 15.0  | 15180 | 0.8609          |
  | 0.9078        | 16.0  | 16192 | 0.8581          |
  | 0.906         | 17.0  | 17204 | 0.8544          |
  | 0.9015        | 18.0  | 18216 | 0.8537          |
  | 0.8988        | 19.0  | 19228 | 0.8494          |
  | 0.8975        | 20.0  | 20240 | 0.8491          |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.11.0+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  