roberta-base-ag-news

This model is a fine-tuned version of textattack/roberta-base-ag-news on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2492
• Accuracy: 0.9457
• F1: 0.9456
• Precision: 0.9456
• Recall: 0.9457

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.073	1.0	3750	0.2088	0.9417	0.9416	0.9419	0.9417
0.0576	2.0	7500	0.2492	0.9457	0.9456	0.9456	0.9457

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1