readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - accuracy
  model-index:
  - name: cuenb2-mnli-negnli
    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. -->
  
  # cuenb2-mnli-negnli
  
  This model is a fine-tuned version of [cuenb](https://huggingface.co/joey234/cuenb) on the GLUE MNLI dataset and the [MNLI subset in NegNLI](https://github.com/mosharafhossain/negation-and-nli/tree/master/data/new_benchmarks/processed_for_run/MNLI).
  It achieves the following results on the evaluation set:
  - Loss: 0.7677
  - Accuracy: 0.8533
  
  ## 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: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5.0
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.21.0.dev0
  - Pytorch 1.8.0
  - Datasets 1.18.3
  - Tokenizers 0.12.1
  