readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: refinement-finetuned-mnli-kaggle-2
    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. -->
  
  # refinement-finetuned-mnli-kaggle-2
  
  This model is a fine-tuned version of [mfreihaut/refinement-finetuned-mnli-1](https://huggingface.co/mfreihaut/refinement-finetuned-mnli-1) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4099
  
  ## 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: 2e-05
  - train_batch_size: 1
  - eval_batch_size: 1
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 8
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss |
  |:-------------:|:-----:|:------:|:---------------:|
  | 0.6157        | 1.0   | 12599  | 0.5321          |
  | 0.5355        | 2.0   | 25198  | 0.6121          |
  | 0.4084        | 3.0   | 37797  | 0.3938          |
  | 0.4596        | 4.0   | 50396  | 0.3925          |
  | 0.4625        | 5.0   | 62995  | 0.3928          |
  | 0.4668        | 6.0   | 75594  | 0.3892          |
  | 0.5054        | 7.0   | 88193  | 0.4097          |
  | 0.4953        | 8.0   | 100792 | 0.4099          |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.10.0
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  