readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - snli
  model-index:
  - name: deberta-v3-base-snli
    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. -->
  
  # deberta-v3-base-snli
  
  This model was trained from scratch on the snli dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 0.2516
  - eval_p: 0.9171
  - eval_r: 0.9170
  - eval_f1: 0.9170
  - eval_runtime: 13.4107
  - eval_samples_per_second: 732.551
  - eval_steps_per_second: 45.784
  - step: 0
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - num_epochs: 4
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.1
  - Datasets 2.6.1
  - Tokenizers 0.12.1
  