bartpho-finetuned-qa

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0573

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.1591	0.4032	100	0.0943
0.1181	0.8065	200	0.0841
0.0846	1.2097	300	0.0676
0.0641	1.6129	400	0.0597
0.0512	2.0161	500	0.0573
0.0354	2.4194	600	0.0617
0.0327	2.8226	700	0.0573

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1
• Datasets 3.1.0
• Tokenizers 0.19.1