readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: small-mlm-glue-mrpc-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. -->
  
  # small-mlm-glue-mrpc-custom-tokenizer-target-glue-qqp
  
  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: 0.4321
  - Accuracy: 0.7877
  - F1: 0.7536
  
  ## 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     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.5322        | 0.04  | 500  | 0.5216          | 0.7117   | 0.6856 |
  | 0.4868        | 0.09  | 1000 | 0.4842          | 0.7449   | 0.7042 |
  | 0.4808        | 0.13  | 1500 | 0.4606          | 0.7593   | 0.7161 |
  | 0.4628        | 0.18  | 2000 | 0.4532          | 0.7623   | 0.7245 |
  | 0.4567        | 0.22  | 2500 | 0.4799          | 0.7495   | 0.7268 |
  | 0.4367        | 0.26  | 3000 | 0.4231          | 0.7917   | 0.7319 |
  | 0.4362        | 0.31  | 3500 | 0.4171          | 0.8017   | 0.7287 |
  | 0.4261        | 0.35  | 4000 | 0.4317          | 0.7814   | 0.7476 |
  | 0.4268        | 0.4   | 4500 | 0.4240          | 0.7867   | 0.7519 |
  | 0.413         | 0.44  | 5000 | 0.4321          | 0.7877   | 0.7536 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  