readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: recipe-distilbert-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-distilbert-tis
  
  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: 0.9886
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.8792        | 1.0   | 1038  | 1.4680          |
  | 1.4691        | 2.0   | 2076  | 1.3122          |
  | 1.3471        | 3.0   | 3114  | 1.2343          |
  | 1.2798        | 4.0   | 4152  | 1.1829          |
  | 1.2284        | 5.0   | 5190  | 1.1437          |
  | 1.1956        | 6.0   | 6228  | 1.1120          |
  | 1.1683        | 7.0   | 7266  | 1.0905          |
  | 1.1458        | 8.0   | 8304  | 1.0731          |
  | 1.126         | 9.0   | 9342  | 1.0645          |
  | 1.113         | 10.0  | 10380 | 1.0471          |
  | 1.0962        | 11.0  | 11418 | 1.0348          |
  | 1.0864        | 12.0  | 12456 | 1.0256          |
  | 1.0772        | 13.0  | 13494 | 1.0173          |
  | 1.0692        | 14.0  | 14532 | 1.0130          |
  | 1.0622        | 15.0  | 15570 | 1.0111          |
  | 1.0577        | 16.0  | 16608 | 1.0021          |
  | 1.0537        | 17.0  | 17646 | 1.0001          |
  | 1.0474        | 18.0  | 18684 | 0.9928          |
  | 1.0471        | 19.0  | 19722 | 0.9908          |
  | 1.0458        | 20.0  | 20760 | 0.9886          |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.11.0+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  