transformers pytorch tensorboard t5 text2text-generation generated_from_trainer license:mit autotrain_compatible text-generation-inference endpoints_compatible region:us
---
license: mit
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: vit5-base-vietnews-summarization-finetuned-VN
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# vit5-base-vietnews-summarization-finetuned-VN

This model is a fine-tuned version of [VietAI/vit5-base-vietnews-summarization](https://huggingface.co/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
