---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: VietAI/vit5-base
metrics:
- rouge
model-index:
- name: TaiDepZai999-UIT-Vit5
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# TaiDepZai999-UIT-Vit5

This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 26.7447
- Rouge1: 10.0592
- Rouge2: 4.8665
- Rougel: 8.6097
- Rougelsum: 8.6121

## 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: 16
- eval_batch_size: 16
- seed: 221
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1  | Rouge2 | Rougel | Rougelsum |
|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|
| No log        | 0.9968 | 78   | 29.6912         | 10.6188 | 5.0941 | 9.0232 | 9.0244    |
| No log        | 1.9936 | 156  | 28.8059         | 10.5140 | 5.0396 | 8.9231 | 8.9360    |
| No log        | 2.9904 | 234  | 26.7447         | 10.0592 | 4.8665 | 8.6097 | 8.6121    |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1