readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  - f1
  model-index:
  - name: tiny-mlm-snli-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-snli-target-glue-qqp
  
  This model is a fine-tuned version of [muhtasham/tiny-mlm-snli](https://huggingface.co/muhtasham/tiny-mlm-snli) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4222
  - Accuracy: 0.7880
  - F1: 0.7489
  
  ## 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     |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
  | 0.5788        | 0.04  | 500  | 0.5176          | 0.7289   | 0.6776 |
  | 0.5105        | 0.09  | 1000 | 0.4825          | 0.7519   | 0.7012 |
  | 0.4971        | 0.13  | 1500 | 0.4913          | 0.7412   | 0.7140 |
  | 0.4815        | 0.18  | 2000 | 0.4669          | 0.7540   | 0.7200 |
  | 0.4726        | 0.22  | 2500 | 0.4566          | 0.7630   | 0.7273 |
  | 0.4572        | 0.26  | 3000 | 0.4494          | 0.7682   | 0.7348 |
  | 0.4579        | 0.31  | 3500 | 0.4467          | 0.7694   | 0.7384 |
  | 0.451         | 0.35  | 4000 | 0.4459          | 0.7696   | 0.7400 |
  | 0.4519        | 0.4   | 4500 | 0.4442          | 0.7686   | 0.7411 |
  | 0.4417        | 0.44  | 5000 | 0.4222          | 0.7880   | 0.7489 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.1.dev0
  - Tokenizers 0.13.2
  