roberta-base_ag_news

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3108

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: 8
• eval_batch_size: 8
• 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
0.3947	1.0	100	0.3689
0.3548	2.0	200	0.3108
0.0662	3.0	300	0.4454
0.435	4.0	400	0.4059
0.4893	5.0	500	0.4149

Framework versions

• Transformers 4.26.1
• Pytorch 2.1.1+cu121
• Datasets 2.12.0
• Tokenizers 0.13.3