Roberta_news_classification_text_title_Lora

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

• Loss: 0.0284
• F1: 0.9874
• Acc: 0.9870

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Acc
0.2083	1.0	1521	0.0322	0.9858	0.9854
0.0334	2.0	3042	0.0291	0.9866	0.9862
0.03	3.0	4563	0.0284	0.9874	0.9870

Framework versions

• PEFT 0.14.0
• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.2.0
• Tokenizers 0.19.1