readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: tiny-mlm-glue-stsb-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-stsb-target-glue-qnli
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-stsb](https://huggingface.co/muhtasham/tiny-mlm-glue-stsb) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4694
  - Accuracy: 0.7802
  
  ## 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
  - num_epochs: 200
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
  | 0.6099        | 0.15  | 500  | 0.5424          | 0.7315   |
  | 0.5423        | 0.31  | 1000 | 0.5368          | 0.7338   |
  | 0.5201        | 0.46  | 1500 | 0.4987          | 0.7624   |
  | 0.5152        | 0.61  | 2000 | 0.5225          | 0.7494   |
  | 0.512         | 0.76  | 2500 | 0.4830          | 0.7763   |
  | 0.505         | 0.92  | 3000 | 0.4704          | 0.7833   |
  | 0.4908        | 1.07  | 3500 | 0.4560          | 0.7921   |
  | 0.4805        | 1.22  | 4000 | 0.4691          | 0.7818   |
  | 0.4682        | 1.37  | 4500 | 0.4733          | 0.7780   |
  | 0.4739        | 1.53  | 5000 | 0.4694          | 0.7802   |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  