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: 2.2948
• Rouge1: 44.6968
• Gen Len: 18.9868

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Gen Len
No log	1.0	266	2.3453	44.2183	18.9519
2.5909	2.0	533	2.2875	44.4436	18.9700
2.5909	3.0	799	2.2792	44.4199	18.9791
1.9843	4.0	1066	2.2806	44.6514	18.9833
1.9843	4.99	1330	2.2948	44.6968	18.9868

Framework versions

• Transformers 4.30.0
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.13.3