readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: small-mlm-glue-qqp-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-qqp-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: 5.2614
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 7.3866        | 0.4   | 500  | 6.2514          |
  | 6.1051        | 0.8   | 1000 | 5.9205          |
  | 5.7552        | 1.2   | 1500 | 5.7346          |
  | 5.5838        | 1.6   | 2000 | 5.6074          |
  | 5.5191        | 2.0   | 2500 | 5.5317          |
  | 5.4095        | 2.4   | 3000 | 5.4497          |
  | 5.3784        | 2.8   | 3500 | 5.4039          |
  | 5.2816        | 3.2   | 4000 | 5.3645          |
  | 5.2523        | 3.6   | 4500 | 5.3406          |
  | 5.2021        | 4.0   | 5000 | 5.2614          |
  
  
  ### Framework versions
  
  - Transformers 4.27.0.dev0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.1.dev0
  - Tokenizers 0.13.2
  