readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: recipe-roberta-i
    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-i
  
  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: 0.9919
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 1.871         | 1.0   | 149  | 1.4670          |
  | 1.528         | 2.0   | 298  | 1.3426          |
  | 1.41          | 3.0   | 447  | 1.2636          |
  | 1.3332        | 4.0   | 596  | 1.2029          |
  | 1.2804        | 5.0   | 745  | 1.1646          |
  | 1.2441        | 6.0   | 894  | 1.1351          |
  | 1.21          | 7.0   | 1043 | 1.0898          |
  | 1.182         | 8.0   | 1192 | 1.0725          |
  | 1.1604        | 9.0   | 1341 | 1.0718          |
  | 1.1402        | 10.0  | 1490 | 1.0529          |
  | 1.1308        | 11.0  | 1639 | 1.0512          |
  | 1.1191        | 12.0  | 1788 | 1.0245          |
  | 1.0986        | 13.0  | 1937 | 1.0203          |
  | 1.0919        | 14.0  | 2086 | 1.0158          |
  | 1.084         | 15.0  | 2235 | 0.9930          |
  | 1.0797        | 16.0  | 2384 | 0.9855          |
  | 1.0697        | 17.0  | 2533 | 1.0061          |
  | 1.0652        | 18.0  | 2682 | 0.9725          |
  | 1.0658        | 19.0  | 2831 | 0.9861          |
  | 1.0642        | 20.0  | 2980 | 0.9919          |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.11.0+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  