readme: ---
  tags:
  - generated_from_trainer
  model-index:
  - name: refinement-finetuned-mnli-kaggle-yahoo
    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-yahoo
  
  This model is a fine-tuned version of [joeddav/bart-large-mnli-yahoo-answers](https://huggingface.co/joeddav/bart-large-mnli-yahoo-answers) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1324
  
  ## 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: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss |
  |:-------------:|:-----:|:-----:|:---------------:|
  | 0.4649        | 1.0   | 12599 | 0.9705          |
  | 0.494         | 2.0   | 25198 | 1.1055          |
  | 0.3405        | 3.0   | 37797 | 1.1101          |
  | 0.5063        | 4.0   | 50396 | 1.1324          |
  
  
  ### Framework versions
  
  - Transformers 4.22.2
  - Pytorch 1.10.0
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  