readme: ---
  license: mit
  tags:
  - generated_from_trainer
  model-index:
  - name: cuenb
    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. -->
  
  # cuenb
  
  This model is a version of [roberta-base](https://huggingface.co/roberta-base) with adaptive pre-training using the [negation-focused pre-training strategy](https://github.com/joey234/negation-focused-pretraining) on 1.2M sentences containing negation.
  
  ## 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: 5e-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: linear
  - num_epochs: 5.0
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step   | Validation Loss |
  |:-------------:|:-----:|:------:|:---------------:|
  | 1.8998        | 2.57  | 200000 | 1.6606          |
  
  
  ### Framework versions
  
  - Transformers 4.13.0.dev0
  - Pytorch 1.8.0
  - Datasets 1.15.1
  - Tokenizers 0.10.3
  