readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: tiny-mlm-glue-rte-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. -->
  
  # tiny-mlm-glue-rte-from-scratch-custom-tokenizer-expand-vocab
  
  This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 6.5942
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 9.3942        | 1.6   | 500  | 8.2703          |
  | 7.5709        | 3.21  | 1000 | 7.0859          |
  | 6.8768        | 4.81  | 1500 | 6.7010          |
  | 6.676         | 6.41  | 2000 | 6.6826          |
  | 6.667         | 8.01  | 2500 | 6.6476          |
  | 6.6276        | 9.62  | 3000 | 6.6067          |
  | 6.61          | 11.22 | 3500 | 6.5808          |
  | 6.5894        | 12.82 | 4000 | 6.6076          |
  | 6.5616        | 14.42 | 4500 | 6.5696          |
  | 6.544         | 16.03 | 5000 | 6.5942          |
  
  
  ### Framework versions
  
  - Transformers 4.27.0.dev0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.1.dev0
  - Tokenizers 0.13.2
  