readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: tiny-mlm-glue-qnli-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-qnli-target-glue-mrpc
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-glue-qnli](https://huggingface.co/muhtasham/tiny-mlm-glue-qnli) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3118
  - Accuracy: 0.7353
  - F1: 0.8176
  
  ## 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 | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.5845        | 4.35  | 500  | 0.5424          | 0.7402   | 0.8290 |
  | 0.4395        | 8.7   | 1000 | 0.5503          | 0.7525   | 0.8374 |
  | 0.2883        | 13.04 | 1500 | 0.6404          | 0.7475   | 0.8280 |
  | 0.1828        | 17.39 | 2000 | 0.7736          | 0.7574   | 0.8406 |
  | 0.1141        | 21.74 | 2500 | 1.0144          | 0.7255   | 0.8056 |
  | 0.0816        | 26.09 | 3000 | 1.1432          | 0.7328   | 0.8180 |
  | 0.0616        | 30.43 | 3500 | 1.3118          | 0.7353   | 0.8176 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  