roberta-base_ag_news

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

• Loss: 0.1897

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.1879	1.0	3750	0.2106
0.1556	2.0	7500	0.1951
0.126	3.0	11250	0.1897
0.0576	4.0	15000	0.1921
0.0386	5.0	18750	0.2283

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.1+cu121
• Datasets 2.14.6
• Tokenizers 0.15.2