readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: small-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. -->
  
  # small-mlm-glue-cola-custom-tokenizer
  
  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: 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 6.3833        | 0.47  | 500  | 6.0687          |
  | 5.7664        | 0.94  | 1000 | 5.7078          |
  | 5.4733        | 1.4   | 1500 | 5.6928          |
  | 5.2967        | 1.87  | 2000 | 5.6740          |
  | 5.0316        | 2.34  | 2500 | 5.5465          |
  | 5.0508        | 2.81  | 3000 | nan             |
  | 5.003         | 3.27  | 3500 | 5.4421          |
  | 4.7143        | 3.74  | 4000 | 5.3365          |
  | 4.7795        | 4.21  | 4500 | 5.2115          |
  | 4.6303        | 4.68  | 5000 | 5.0677          |
  | 4.5267        | 5.14  | 5500 | 5.2197          |
  | 4.5582        | 5.61  | 6000 | 5.0485          |
  | 4.528         | 6.08  | 6500 | 5.1092          |
  | 4.2633        | 6.55  | 7000 | 5.1459          |
  | 4.2774        | 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
  