arman1o1/roberta_ag_news_model

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roberta-base-ag-news-classifier

This model is a fine-tuned version of FacebookAI/roberta-base on fancyzhx/ag_news) dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2021
• —Accuracy: 0.9541
• —F1: 0.9541

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
• —trainbatchsize: 16
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.57.1
• —Pytorch 2.9.0a0+git1c57644
• —Datasets 4.3.0
• —Tokenizers 0.22.1