readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: tiny-mlm-glue-cola-from-scratch-custom-tokenizer-target-glue-qqp
    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-qqp
  
  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: 0.5427
  - Accuracy: 0.7318
  - F1: 0.5719
  
  ## 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 | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.6414        | 0.04  | 500  | 0.6217          | 0.6544   | 0.4756 |
  | 0.6157        | 0.09  | 1000 | 0.6047          | 0.6738   | 0.5091 |
  | 0.6019        | 0.13  | 1500 | 0.5899          | 0.6825   | 0.5814 |
  | 0.5812        | 0.18  | 2000 | 0.5686          | 0.7068   | 0.5646 |
  | 0.572         | 0.22  | 2500 | 0.5590          | 0.7170   | 0.5716 |
  | 0.5641        | 0.26  | 3000 | 0.5543          | 0.7194   | 0.5891 |
  | 0.5572        | 0.31  | 3500 | 0.5491          | 0.7252   | 0.5919 |
  | 0.5529        | 0.35  | 4000 | 0.5529          | 0.7199   | 0.6169 |
  | 0.556         | 0.4   | 4500 | 0.5471          | 0.7260   | 0.6145 |
  | 0.5482        | 0.44  | 5000 | 0.5427          | 0.7318   | 0.5719 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  