readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: tiny-mlm-glue-stsb-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-stsb-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: 7.2837
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 8.8837        | 0.7   | 500  | 8.1916          |
  | 7.7017        | 1.39  | 1000 | 7.6245          |
  | 7.2699        | 2.09  | 1500 | 7.3292          |
  | 7.0522        | 2.78  | 2000 | 7.3882          |
  | 7.0616        | 3.48  | 2500 | 7.2582          |
  | 6.9478        | 4.17  | 3000 | 7.2783          |
  | 6.8888        | 4.87  | 3500 | 7.1588          |
  | 6.8816        | 5.56  | 4000 | 7.2253          |
  | 6.8169        | 6.26  | 4500 | 7.2205          |
  | 6.7911        | 6.95  | 5000 | 7.2837          |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  