readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: 20split_dataset_version1
    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_version1
  
  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: 2.1942
  
  ## 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: 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: 12
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss |
  |:-------------:|:-----:|:------:|:---------------:|
  | 2.7475        | 1.0   | 11851  | 2.5194          |
  | 2.5528        | 2.0   | 23702  | 2.4191          |
  | 2.4649        | 3.0   | 35553  | 2.3646          |
  | 2.4038        | 4.0   | 47404  | 2.3289          |
  | 2.3632        | 5.0   | 59255  | 2.2922          |
  | 2.3273        | 6.0   | 71106  | 2.2739          |
  | 2.2964        | 7.0   | 82957  | 2.2494          |
  | 2.2732        | 8.0   | 94808  | 2.2217          |
  | 2.2526        | 9.0   | 106659 | 2.2149          |
  | 2.2369        | 10.0  | 118510 | 2.2029          |
  | 2.222         | 11.0  | 130361 | 2.2020          |
  | 2.2135        | 12.0  | 142212 | 2.1942          |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  