readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: distilbert-base-uncased-finetuned-wikiandmark_epoch20
    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. -->
  
  # distilbert-base-uncased-finetuned-wikiandmark_epoch20
  
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0561
  - Accuracy: 0.9944
  
  ## 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: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
  | 0.0224        | 1.0   | 1859  | 0.0277          | 0.9919   |
  | 0.0103        | 2.0   | 3718  | 0.0298          | 0.9925   |
  | 0.0047        | 3.0   | 5577  | 0.0429          | 0.9924   |
  | 0.0038        | 4.0   | 7436  | 0.0569          | 0.9922   |
  | 0.0019        | 5.0   | 9295  | 0.0554          | 0.9936   |
  | 0.0028        | 6.0   | 11154 | 0.0575          | 0.9928   |
  | 0.002         | 7.0   | 13013 | 0.0544          | 0.9926   |
  | 0.0017        | 8.0   | 14872 | 0.0553          | 0.9935   |
  | 0.001         | 9.0   | 16731 | 0.0498          | 0.9924   |
  | 0.0001        | 10.0  | 18590 | 0.0398          | 0.9934   |
  | 0.0           | 11.0  | 20449 | 0.0617          | 0.9935   |
  | 0.0002        | 12.0  | 22308 | 0.0561          | 0.9944   |
  | 0.0002        | 13.0  | 24167 | 0.0755          | 0.9934   |
  | 0.0           | 14.0  | 26026 | 0.0592          | 0.9941   |
  | 0.0           | 15.0  | 27885 | 0.0572          | 0.9939   |
  | 0.0           | 16.0  | 29744 | 0.0563          | 0.9941   |
  | 0.0           | 17.0  | 31603 | 0.0587          | 0.9936   |
  | 0.0005        | 18.0  | 33462 | 0.0673          | 0.9937   |
  | 0.0           | 19.0  | 35321 | 0.0651          | 0.9933   |
  | 0.0           | 20.0  | 37180 | 0.0683          | 0.9936   |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  