readme: ---
  license: mit
  tags:
  - generated_from_trainer
  datasets:
  - swiss_judgment_prediction
  model-index:
  - name: xlm-roberta-large-xnli-finetuned-mnli-SJP-v3
    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. -->
  
  # xlm-roberta-large-xnli-finetuned-mnli-SJP-v3
  
  This model is a fine-tuned version of [joeddav/xlm-roberta-large-xnli](https://huggingface.co/joeddav/xlm-roberta-large-xnli) on the swiss_judgment_prediction dataset.
  It achieves the following results on the evaluation set:
  - eval_loss: 5.4348
  - eval_accuracy: 0.3352
  - eval_runtime: 588.81
  - eval_samples_per_second: 8.492
  - eval_steps_per_second: 4.246
  - epoch: 14.0
  - step: 70
  
  ## 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: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  
  ### Framework versions
  
  - Transformers 4.20.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  