readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: recipe-distilbert-upper-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-upper-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: 0.8746
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 1.67          | 1.0   | 1353  | 1.2945          |
  | 1.2965        | 2.0   | 2706  | 1.1547          |
  | 1.1904        | 3.0   | 4059  | 1.0846          |
  | 1.1272        | 4.0   | 5412  | 1.0407          |
  | 1.0857        | 5.0   | 6765  | 1.0039          |
  | 1.0549        | 6.0   | 8118  | 0.9802          |
  | 1.03          | 7.0   | 9471  | 0.9660          |
  | 1.01          | 8.0   | 10824 | 0.9474          |
  | 0.9931        | 9.0   | 12177 | 0.9365          |
  | 0.9807        | 10.0  | 13530 | 0.9252          |
  | 0.9691        | 11.0  | 14883 | 0.9105          |
  | 0.9601        | 12.0  | 16236 | 0.9079          |
  | 0.9503        | 13.0  | 17589 | 0.8979          |
  | 0.9436        | 14.0  | 18942 | 0.8930          |
  | 0.9371        | 15.0  | 20295 | 0.8875          |
  | 0.9322        | 16.0  | 21648 | 0.8851          |
  | 0.9279        | 17.0  | 23001 | 0.8801          |
  | 0.9254        | 18.0  | 24354 | 0.8812          |
  | 0.9227        | 19.0  | 25707 | 0.8768          |
  | 0.9232        | 20.0  | 27060 | 0.8746          |
  
  
  ### Framework versions
  
  - Transformers 4.19.0.dev0
  - Pytorch 1.11.0+cu102
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  