roberta-base-nsp-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: 0.3205

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: 40

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	157	0.6910
0.6934	2.0	314	0.6784
0.6809	3.0	471	0.6422
0.6416	4.0	628	0.5750
0.6416	5.0	785	0.4874
0.566	6.0	942	0.3956
0.4672	7.0	1099	0.3402
0.3704	8.0	1256	0.3259
0.3257	9.0	1413	0.3089
0.3257	10.0	1570	0.3061
0.2783	11.0	1727	0.3191
0.2723	12.0	1884	0.3115
0.2377	13.0	2041	0.3125
0.2377	14.0	2198	0.3079
0.2242	15.0	2355	0.3205

Framework versions

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