readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: small-mlm-wikitext-custom-tokenizer
    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. -->
  
  # small-mlm-wikitext-custom-tokenizer
  
  This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 5.9013
  
  ## 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: 3e-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: constant
  - num_epochs: 200
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 7.443         | 0.4   | 500   | 7.1092          |
  | 6.9585        | 0.8   | 1000  | 6.9474          |
  | 6.8416        | 1.2   | 1500  | nan             |
  | 6.7094        | 1.6   | 2000  | 6.6852          |
  | 6.6686        | 2.0   | 2500  | 6.6998          |
  | 6.5422        | 2.4   | 3000  | 6.6184          |
  | 6.5449        | 2.8   | 3500  | 6.6460          |
  | 6.4334        | 3.2   | 4000  | nan             |
  | 6.3839        | 3.6   | 4500  | 6.4225          |
  | 6.3278        | 4.0   | 5000  | 6.4024          |
  | 6.264         | 4.4   | 5500  | 6.4076          |
  | 6.1794        | 4.8   | 6000  | 6.3197          |
  | 6.1637        | 5.2   | 6500  | 6.3163          |
  | 6.091         | 5.6   | 7000  | 6.2943          |
  | 6.0679        | 6.0   | 7500  | nan             |
  | 6.0375        | 6.4   | 8000  | 6.1639          |
  | 5.9742        | 6.8   | 8500  | 6.1480          |
  | 5.9223        | 7.2   | 9000  | 6.1752          |
  | 5.9037        | 7.6   | 9500  | 6.0949          |
  | 5.8416        | 8.0   | 10000 | 6.0662          |
  | 5.8246        | 8.4   | 10500 | 6.0426          |
  | 5.7151        | 8.8   | 11000 | 5.9719          |
  | 5.6765        | 9.2   | 11500 | 5.9907          |
  | 5.7426        | 9.6   | 12000 | 5.9008          |
  | 5.6745        | 10.0  | 12500 | 5.9193          |
  | 5.6063        | 10.4  | 13000 | 5.9051          |
  | 5.5536        | 10.8  | 13500 | 5.9013          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  