readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - matthews_correlation
  model-index:
  - name: tiny-mlm-glue-mrpc-from-scratch-custom-tokenizer-target-glue-cola
    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-mrpc-from-scratch-custom-tokenizer-target-glue-cola
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-mrpc-from-scratch-custom-tokenizer](https://huggingface.co/muhtasham/tiny-mlm-glue-mrpc-from-scratch-custom-tokenizer) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6220
  - Matthews Correlation: 0.0
  
  ## 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 | Matthews Correlation |
  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
  | 0.6131        | 1.87  | 500  | 0.6205          | 0.0                  |
  | 0.6072        | 3.73  | 1000 | 0.6191          | 0.0                  |
  | 0.6061        | 5.6   | 1500 | 0.6164          | 0.0                  |
  | 0.5996        | 7.46  | 2000 | 0.6220          | 0.0                  |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  