readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: tiny-mlm-glue-cola-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-cola-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: nan
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 7.2575        | 0.47  | 500  | 6.4792          |
  | 6.4145        | 0.94  | 1000 | 6.4699          |
  | 6.2252        | 1.4   | 1500 | 6.5489          |
  | 6.0413        | 1.87  | 2000 | 6.3427          |
  | 5.8394        | 2.34  | 2500 | 6.2134          |
  | 5.825         | 2.81  | 3000 | nan             |
  | 5.8071        | 3.27  | 3500 | 6.1627          |
  | 5.6601        | 3.74  | 4000 | 6.0835          |
  | 5.686         | 4.21  | 4500 | 6.0319          |
  | 5.6029        | 4.68  | 5000 | 5.9500          |
  | 5.5236        | 5.14  | 5500 | 5.9621          |
  | 5.586         | 5.61  | 6000 | 5.8955          |
  | 5.5582        | 6.08  | 6500 | 6.0435          |
  | 5.412         | 6.55  | 7000 | 6.0175          |
  | 5.397         | 7.02  | 7500 | nan             |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  