readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: BERTModified-finetuned-wikitext-test
    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. -->
  
  # BERTModified-finetuned-wikitext-test
  
  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: 6.7191
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 9.5075        | 1.0   | 63   | 8.9689          |
  | 8.5623        | 2.0   | 126  | 8.1532          |
  | 7.8617        | 3.0   | 189  | 7.6296          |
  | 7.4107        | 4.0   | 252  | 7.3166          |
  | 7.0526        | 5.0   | 315  | 6.9171          |
  | 6.8774        | 6.0   | 378  | 6.8958          |
  | 6.8026        | 7.0   | 441  | 6.7981          |
  | 6.6463        | 8.0   | 504  | 6.7992          |
  | 6.6569        | 9.0   | 567  | 6.7409          |
  | 6.5931        | 10.0  | 630  | 6.6189          |
  
  
  ### Framework versions
  
  - Transformers 4.23.1
  - Pytorch 1.13.0+cu117
  - Datasets 2.6.1
  - Tokenizers 0.13.1
  