my_awesome_qa_model

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: 0.1742

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: 2e-05
• train_batch_size: 10
• eval_batch_size: 10
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	198	0.2250
No log	2.0	396	0.2104
0.3324	3.0	594	0.2199
0.3324	4.0	792	0.1904
0.3324	5.0	990	0.1642
0.1403	6.0	1188	0.1693
0.1403	7.0	1386	0.1531
0.1083	8.0	1584	0.1712
0.1083	9.0	1782	0.1538
0.1083	10.0	1980	0.1498
0.0925	11.0	2178	0.1538
0.0925	12.0	2376	0.1627
0.0609	13.0	2574	0.1631
0.0609	14.0	2772	0.1707
0.0609	15.0	2970	0.1742

Framework versions

• Transformers 4.42.3
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.19.1