readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: tiny-mlm-glue-qqp-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. -->
  
  # tiny-mlm-glue-qqp-custom-tokenizer
  
  This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 5.7811
  
  ## 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 |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 7.4263        | 0.4   | 500   | 6.7180          |
  | 6.4992        | 0.8   | 1000  | 6.6456          |
  | 6.2737        | 1.2   | 1500  | 6.4546          |
  | 5.9994        | 1.6   | 2000  | 6.2448          |
  | 5.875         | 2.0   | 2500  | 6.2319          |
  | 5.7667        | 2.4   | 3000  | 6.1561          |
  | 5.7425        | 2.8   | 3500  | 6.2058          |
  | 5.753         | 3.2   | 4000  | 6.0921          |
  | 5.5982        | 3.6   | 4500  | 6.1794          |
  | 5.6196        | 4.0   | 5000  | 6.1381          |
  | 5.512         | 4.4   | 5500  | 6.0225          |
  | 5.5096        | 4.8   | 6000  | 6.0408          |
  | 5.4474        | 5.2   | 6500  | 5.8967          |
  | 5.3589        | 5.6   | 7000  | 5.9714          |
  | 5.329         | 6.0   | 7500  | 5.9004          |
  | 5.2965        | 6.4   | 8000  | 5.8087          |
  | 5.2853        | 6.8   | 8500  | 5.8612          |
  | 5.2446        | 7.2   | 9000  | 5.8007          |
  | 5.0895        | 7.6   | 9500  | 5.7173          |
  | 5.1699        | 8.0   | 10000 | 5.8139          |
  | 5.0603        | 8.4   | 10500 | 5.6959          |
  | 5.0748        | 8.8   | 11000 | 5.7078          |
  | 5.0742        | 9.2   | 11500 | 5.7509          |
  | 4.955         | 9.6   | 12000 | 5.7811          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  