ViT5_2048_gen512

This model is a fine-tuned version of VietAI/vit5-base-vietnews-summarization on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.49811702966690063
• Rouge-1: 0.3124
• Rouge-2: 0.1649
• Rouge-4: 0.0905
• Rouge-l: 0.2679
• Rouge-w-1.2: 0.1096
• Rouge-s4: 0.1204
• Rouge-su4: 0.1531
• R: 0.2648
• P: 0.3806
• Bleu: 12.1366

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: 1e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Framework versions

• Transformers 4.26.1
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3