readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: small-mlm-glue-stsb-from-scratch-custom-tokenizer-expand-vocab
    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-stsb-from-scratch-custom-tokenizer-expand-vocab
  
  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: 5.8182
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 7.929         | 0.7   | 500  | 6.7432          |
  | 6.8164        | 1.39  | 1000 | 6.4671          |
  | 6.5278        | 2.09  | 1500 | 6.3719          |
  | 6.3088        | 2.78  | 2000 | 6.2202          |
  | 6.3032        | 3.48  | 2500 | 5.9957          |
  | 6.1976        | 4.17  | 3000 | 6.0049          |
  | 6.0579        | 4.87  | 3500 | 5.9357          |
  | 6.0549        | 5.56  | 4000 | 5.9458          |
  | 5.9356        | 6.26  | 4500 | 5.8563          |
  | 5.9506        | 6.95  | 5000 | 5.8182          |
  
  
  ### Framework versions
  
  - Transformers 4.27.0.dev0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.1.dev0
  - Tokenizers 0.13.2
  