readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: small-mlm-glue-qnli-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-qnli-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: 3.0716
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 5.5339        | 0.4   | 500  | 4.7224          |
  | 4.6477        | 0.8   | 1000 | 4.3242          |
  | 4.3146        | 1.2   | 1500 | 3.9988          |
  | 4.0046        | 1.6   | 2000 | 3.7777          |
  | 3.7942        | 2.0   | 2500 | 3.5976          |
  | 3.5684        | 2.4   | 3000 | 3.4426          |
  | 3.4406        | 2.8   | 3500 | 3.3275          |
  | 3.332         | 3.2   | 4000 | 3.2361          |
  | 3.1941        | 3.6   | 4500 | 3.1616          |
  | 3.0981        | 4.0   | 5000 | 3.0716          |
  
  
  ### Framework versions
  
  - Transformers 4.27.0.dev0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.1.dev0
  - Tokenizers 0.13.2
  