vit5-base-vietnews-summarization-finetuned-VN

This model is a fine-tuned version of VietAI/vit5-base-vietnews-summarization on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.9536
• Rouge1: 47.0452
• Rouge2: 21.1233
• Rougel: 33.2693
• Rougelsum: 33.4168
• Gen Len: 18.9626

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.3275	1.0	1982	1.9536	47.0452	21.1233	33.2693	33.4168	18.9626

Framework versions

• Transformers 4.30.0
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.13.3