readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: recipe-roberta-upper-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-upper-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: 0.7757
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.2455        | 1.0   | 1228  | 1.0420          |
  | 1.0812        | 2.0   | 2456  | 0.9641          |
  | 1.018         | 3.0   | 3684  | 0.9220          |
  | 0.977         | 4.0   | 4912  | 0.8943          |
  | 0.9451        | 5.0   | 6140  | 0.8726          |
  | 0.9254        | 6.0   | 7368  | 0.8574          |
  | 0.9074        | 7.0   | 8596  | 0.8404          |
  | 0.8944        | 8.0   | 9824  | 0.8290          |
  | 0.8797        | 9.0   | 11052 | 0.8258          |
  | 0.869         | 10.0  | 12280 | 0.8115          |
  | 0.8609        | 11.0  | 13508 | 0.8085          |
  | 0.8522        | 12.0  | 14736 | 0.7995          |
  | 0.8462        | 13.0  | 15964 | 0.7958          |
  | 0.8414        | 14.0  | 17192 | 0.7891          |
  | 0.8374        | 15.0  | 18420 | 0.7856          |
  | 0.8327        | 16.0  | 19648 | 0.7850          |
  | 0.8268        | 17.0  | 20876 | 0.7784          |
  | 0.8256        | 18.0  | 22104 | 0.7802          |
  | 0.822         | 19.0  | 23332 | 0.7789          |
  | 0.8219        | 20.0  | 24560 | 0.7757          |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.11.0+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  