distilroberta-base-finetuned-leftarticles-mlm

This model is a fine-tuned version of distilroberta-base on a dataset of left wing news articles, happybusinessperson/leftarticles, 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:

• Loss: 1.7207

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
1.9373	1.0	2239	1.7868
1.8676	2.0	4478	1.7572
1.8194	3.0	6717	1.7297

Framework versions

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