readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: tiny-mlm-glue-cola-from-scratch-custom-tokenizer-expand-vocab-target-glue-mrpc
    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-cola-from-scratch-custom-tokenizer-expand-vocab-target-glue-mrpc
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-cola-from-scratch-custom-tokenizer-expand-vocab](https://huggingface.co/muhtasham/tiny-mlm-glue-cola-from-scratch-custom-tokenizer-expand-vocab) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9173
  - Accuracy: 0.6495
  - F1: 0.7496
  
  ## 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 | Accuracy | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.6309        | 4.35  | 500  | 0.6176          | 0.6936   | 0.8164 |
  | 0.5707        | 8.7   | 1000 | 0.6353          | 0.6593   | 0.7608 |
  | 0.4316        | 13.04 | 1500 | 0.7746          | 0.6495   | 0.7395 |
  | 0.3118        | 17.39 | 2000 | 0.9173          | 0.6495   | 0.7496 |
  
  
  ### Framework versions
  
  - Transformers 4.27.0.dev0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.1.dev0
  - Tokenizers 0.13.2
  