readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: small-mlm-glue-mrpc-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. -->
  
  # small-mlm-glue-mrpc-custom-tokenizer-target-glue-qnli
  
  This model is a fine-tuned version of [muhtasham/small-mlm-glue-mrpc-custom-tokenizer](https://huggingface.co/muhtasham/small-mlm-glue-mrpc-custom-tokenizer) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4493
  - Accuracy: 0.7986
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.5672        | 0.15  | 500  | 0.4950          | 0.7650   |
  | 0.532         | 0.31  | 1000 | 0.4894          | 0.7710   |
  | 0.5191        | 0.46  | 1500 | 0.5007          | 0.7681   |
  | 0.5102        | 0.61  | 2000 | 0.4682          | 0.7873   |
  | 0.5033        | 0.76  | 2500 | 0.4596          | 0.7897   |
  | 0.4975        | 0.92  | 3000 | 0.4537          | 0.7908   |
  | 0.4751        | 1.07  | 3500 | 0.4637          | 0.7900   |
  | 0.4547        | 1.22  | 4000 | 0.5252          | 0.7717   |
  | 0.45          | 1.37  | 4500 | 0.4494          | 0.8003   |
  | 0.454         | 1.53  | 5000 | 0.4493          | 0.7986   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  