ViNormT5

This model is a fine-tuned version of VietAI/ViT5-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2171
• Bleu Score: 75.3569
• Gen Len: 13.1514

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: 0.0002
• 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu Score	Gen Len
0.4669	1.0	524	0.2426	73.5538	13.1838
0.1732	2.0	1048	0.2127	74.877	13.1457
0.0691	3.0	1572	0.2171	75.3569	13.1514

Framework versions

• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1