readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: 20split_dataset_version3
    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_version3
  
  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: 2.8310
  
  ## 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: 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: 16
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 3.1679        | 1.0   | 313  | 2.9768          |
  | 2.9869        | 2.0   | 626  | 2.9299          |
  | 2.8528        | 3.0   | 939  | 2.9176          |
  | 2.7435        | 4.0   | 1252 | 2.9104          |
  | 2.6458        | 5.0   | 1565 | 2.8863          |
  | 2.5865        | 6.0   | 1878 | 2.8669          |
  | 2.5218        | 7.0   | 2191 | 2.8802          |
  | 2.4647        | 8.0   | 2504 | 2.8639          |
  | 2.3933        | 9.0   | 2817 | 2.8543          |
  | 2.3687        | 10.0  | 3130 | 2.8573          |
  | 2.3221        | 11.0  | 3443 | 2.8398          |
  | 2.276         | 12.0  | 3756 | 2.8415          |
  | 2.2379        | 13.0  | 4069 | 2.8471          |
  | 2.2427        | 14.0  | 4382 | 2.8318          |
  | 2.1741        | 15.0  | 4695 | 2.8356          |
  | 2.1652        | 16.0  | 5008 | 2.8310          |
  
  
  ### Framework versions
  
  - Transformers 4.21.0
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  