readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: small-mlm-glue-wnli-from-scratch-custom-tokenizer-expand-vocab
    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-glue-wnli-from-scratch-custom-tokenizer-expand-vocab
  
  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: 3.4922
  
  ## 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
  - training_steps: 5000
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss |
  |:-------------:|:-----:|:----:|:---------------:|
  | 7.1384        | 6.25  | 500  | 5.9999          |
  | 5.8428        | 12.5  | 1000 | 5.6581          |
  | 5.4846        | 18.75 | 1500 | 5.4843          |
  | 5.1716        | 25.0  | 2000 | 5.3955          |
  | 4.8633        | 31.25 | 2500 | 4.9234          |
  | 4.6185        | 37.5  | 3000 | 4.6246          |
  | 4.2975        | 43.75 | 3500 | 4.3933          |
  | 4.0116        | 50.0  | 4000 | 4.1432          |
  | 3.7556        | 56.25 | 4500 | 3.8816          |
  | 3.5262        | 62.5  | 5000 | 3.4922          |
  
  
  ### Framework versions
  
  - Transformers 4.27.0.dev0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.1.dev0
  - Tokenizers 0.13.2
  