readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: tiny-mlm-glue-cola-from-scratch-custom-tokenizer-target-glue-qnli
    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-target-glue-qnli
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-cola-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-glue-cola-from-scratch-custom-tokenizer) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6513
  - Accuracy: 0.6129
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.6926        | 0.15  | 500  | 0.6887          | 0.5599   |
  | 0.6814        | 0.31  | 1000 | 0.6675          | 0.5867   |
  | 0.6728        | 0.46  | 1500 | 0.6621          | 0.5997   |
  | 0.6665        | 0.61  | 2000 | 0.6609          | 0.6022   |
  | 0.6614        | 0.76  | 2500 | 0.6589          | 0.6028   |
  | 0.6627        | 0.92  | 3000 | 0.6566          | 0.6039   |
  | 0.6552        | 1.07  | 3500 | 0.6562          | 0.6046   |
  | 0.659         | 1.22  | 4000 | 0.6533          | 0.6077   |
  | 0.6536        | 1.37  | 4500 | 0.6519          | 0.6114   |
  | 0.6553        | 1.53  | 5000 | 0.6513          | 0.6129   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  