roberta-base-ppaverb-5000-1e-06-8

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

• Loss: 0.6899

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: 1e-06
• 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	0.6937
0.6962	2.0	314	0.6931
0.6934	3.0	471	0.6931
0.6934	4.0	628	0.6929
0.6934	5.0	785	0.6927
0.693	6.0	942	0.6926
0.6933	7.0	1099	0.6924
0.692	8.0	1256	0.6920
0.6911	9.0	1413	0.6918
0.6911	10.0	1570	0.6914
0.6907	11.0	1727	0.6909
0.6888	12.0	1884	0.6902
0.6858	13.0	2041	0.6896
0.6858	14.0	2198	0.6891
0.685	15.0	2355	0.6892
0.6794	16.0	2512	0.6892
0.6779	17.0	2669	0.6899

Framework versions

• Transformers 4.41.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1