RobertaLr4.736874483017473e-06Wd0.009579411474848759E20

This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1592

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: 4.736874483017473e-06
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
0.427	1.0	541	0.2540
0.1727	2.0	1082	0.2023
0.0003	3.0	1623	0.1707
0.0013	4.0	2164	0.1500
0.0	5.0	2705	0.1500
0.0006	6.0	3246	0.1682
0.0508	7.0	3787	0.1603
0.0038	8.0	4328	0.1417
0.7646	9.0	4869	0.1419
0.0	10.0	5410	0.1465
0.0001	11.0	5951	0.1470
0.0027	12.0	6492	0.1636
0.0	13.0	7033	0.1579
0.0	14.0	7574	0.1606
0.0001	15.0	8115	0.1647
0.0008	16.0	8656	0.1574
0.0	17.0	9197	0.1604
0.0	18.0	9738	0.1687
0.0	19.0	10279	0.1580
0.0	20.0	10820	0.1592

Framework versions

• Transformers 4.41.2
• Pytorch 2.5.1
• Datasets 2.19.1
• Tokenizers 0.19.1