readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: 20split_dataset_version2
    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. -->
  
  # 20split_dataset_version2
  
  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: 2.0626
  
  ## 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: 5e-05
  - train_batch_size: 64
  - eval_batch_size: 64
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 16
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss |
  |:-------------:|:-----:|:------:|:---------------:|
  | 2.7621        | 1.0   | 11851  | 2.5216          |
  | 2.5466        | 2.0   | 23702  | 2.4157          |
  | 2.4505        | 3.0   | 35553  | 2.3592          |
  | 2.3798        | 4.0   | 47404  | 2.3028          |
  | 2.3178        | 5.0   | 59255  | 2.2768          |
  | 2.272         | 6.0   | 71106  | 2.2366          |
  | 2.2323        | 7.0   | 82957  | 2.2128          |
  | 2.1928        | 8.0   | 94808  | 2.1797          |
  | 2.157         | 9.0   | 106659 | 2.1667          |
  | 2.1292        | 10.0  | 118510 | 2.1392          |
  | 2.0978        | 11.0  | 130361 | 2.1280          |
  | 2.0725        | 12.0  | 142212 | 2.1106          |
  | 2.052         | 13.0  | 154063 | 2.0944          |
  | 2.0268        | 14.0  | 165914 | 2.0804          |
  | 2.0121        | 15.0  | 177765 | 2.0698          |
  | 1.9997        | 16.0  | 189616 | 2.0626          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  