readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - precision
  - recall
  - f1
  - accuracy
  model-index:
  - name: BERTModified-fullsize-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-fullsize-finetuned-wikitext-test
  
  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: 6.7813
  - Precision: 0.1094
  - Recall: 0.1094
  - F1: 0.1094
  - Accuracy: 0.1094
  
  ## 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: 4
  - eval_batch_size: 4
  - 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 | Precision | Recall | F1     | Accuracy |
  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
  | 9.2391        | 1.0   | 4382  | 8.1610          | 0.0373    | 0.0373 | 0.0373 | 0.0373   |
  | 7.9147        | 2.0   | 8764  | 7.6870          | 0.0635    | 0.0635 | 0.0635 | 0.0635   |
  | 7.5164        | 3.0   | 13146 | 7.4388          | 0.0727    | 0.0727 | 0.0727 | 0.0727   |
  | 7.2439        | 4.0   | 17528 | 7.2088          | 0.0930    | 0.0930 | 0.0930 | 0.0930   |
  | 7.1068        | 5.0   | 21910 | 7.0455          | 0.0943    | 0.0943 | 0.0943 | 0.0943   |
  | 6.9711        | 6.0   | 26292 | 6.9976          | 0.1054    | 0.1054 | 0.1054 | 0.1054   |
  | 6.8486        | 7.0   | 30674 | 6.8850          | 0.1054    | 0.1054 | 0.1054 | 0.1054   |
  | 6.78          | 8.0   | 35056 | 6.7990          | 0.1153    | 0.1153 | 0.1153 | 0.1153   |
  | 6.73          | 9.0   | 39438 | 6.8041          | 0.1074    | 0.1074 | 0.1074 | 0.1074   |
  | 6.6921        | 10.0  | 43820 | 6.7412          | 0.1251    | 0.1251 | 0.1251 | 0.1251   |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.13.0
  - Datasets 2.6.1
  - Tokenizers 0.13.2
  