---
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