readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: tiny-mlm-glue-mnli-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. -->
  
  # tiny-mlm-glue-mnli-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: 7.3372
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 9.3697        | 0.4   | 500  | 8.5748          |
  | 7.9343        | 0.8   | 1000 | 7.7323          |
  | 7.3224        | 1.2   | 1500 | 7.4549          |
  | 7.1382        | 1.6   | 2000 | 7.4191          |
  | 7.0553        | 2.0   | 2500 | 7.3967          |
  | 6.9814        | 2.4   | 3000 | 7.3621          |
  | 6.9808        | 2.8   | 3500 | 7.3591          |
  | 6.9386        | 3.2   | 4000 | 7.3327          |
  | 6.9167        | 3.6   | 4500 | 7.3050          |
  | 6.9831        | 4.0   | 5000 | 7.3372          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  