---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-finetuned-rightarticles-mlm
  results: []
---

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# distilroberta-base-finetuned-rightarticles-mlm

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on a dataset of right wing news articles, [happybusinessperson/rightarticles](https://huggingface.co/datasets/happybusinessperson/rightarticles), adapted from https://www.kaggle.com/datasets/mhoali/right-and-left-wing-news-articles-with-nlp. It achieves the following results on the evaluation set:


It achieves the following results on the evaluation set:
- Loss: 1.7292

## 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: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9611        | 1.0   | 806  | 1.7669          |
| 1.8516        | 2.0   | 1612 | 1.7297          |
| 1.798         | 3.0   | 2418 | 1.7239          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2