readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: small-mlm-glue-wnli-from-scratch-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-wnli-from-scratch-custom-tokenizer
  
  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.2040
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 6.1082        | 6.25  | 500  | 5.9594          |
  | 5.4068        | 12.5  | 1000 | 5.6740          |
  | 5.0739        | 18.75 | 1500 | 5.2598          |
  | 4.7626        | 25.0  | 2000 | 4.8211          |
  | 4.435         | 31.25 | 2500 | 4.4480          |
  | 4.1433        | 37.5  | 3000 | 4.4832          |
  | 3.8443        | 43.75 | 3500 | 3.9836          |
  | 3.5364        | 50.0  | 4000 | 3.9410          |
  | 3.2581        | 56.25 | 4500 | 3.3900          |
  | 2.9884        | 62.5  | 5000 | 3.2040          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  