readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: recipe-distilbert-s
    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-distilbert-s
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.0321
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.8594        | 1.0   | 844   | 1.4751          |
  | 1.4763        | 2.0   | 1688  | 1.3282          |
  | 1.3664        | 3.0   | 2532  | 1.2553          |
  | 1.2975        | 4.0   | 3376  | 1.2093          |
  | 1.2543        | 5.0   | 4220  | 1.1667          |
  | 1.2189        | 6.0   | 5064  | 1.1472          |
  | 1.1944        | 7.0   | 5908  | 1.1251          |
  | 1.1737        | 8.0   | 6752  | 1.1018          |
  | 1.1549        | 9.0   | 7596  | 1.0950          |
  | 1.1387        | 10.0  | 8440  | 1.0796          |
  | 1.1295        | 11.0  | 9284  | 1.0713          |
  | 1.1166        | 12.0  | 10128 | 1.0639          |
  | 1.1078        | 13.0  | 10972 | 1.0485          |
  | 1.099         | 14.0  | 11816 | 1.0431          |
  | 1.0951        | 15.0  | 12660 | 1.0425          |
  | 1.0874        | 16.0  | 13504 | 1.0323          |
  | 1.0828        | 17.0  | 14348 | 1.0368          |
  | 1.0802        | 18.0  | 15192 | 1.0339          |
  | 1.0798        | 19.0  | 16036 | 1.0247          |
  | 1.0758        | 20.0  | 16880 | 1.0321          |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.11.0+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  