roberta-large-pp-5000-5e-05-8

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

• Loss: 0.6940

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: 1024
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	157	0.6996
0.7037	2.0	314	0.7034
0.702	3.0	471	0.6980
0.7019	4.0	628	0.6945
0.7019	5.0	785	0.6963
0.701	6.0	942	0.6948
0.6995	7.0	1099	0.6933
0.7007	8.0	1256	0.6977
0.6976	9.0	1413	0.6933
0.6976	10.0	1570	0.6942
0.6993	11.0	1727	0.6954
0.6979	12.0	1884	0.6987
0.6981	13.0	2041	0.6937
0.6981	14.0	2198	0.6940

Framework versions

• Transformers 4.40.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1