---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: FineTune_Vit5_LR0_00001_time2
  results: []
---

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

# FineTune_Vit5_LR0_00001_time2

This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.6803
- Validation Loss: 0.7039
- Train Rouge1: 48.5820
- Train Rouge2: 26.3291
- Train Rougel: 39.9040
- Train Rougelsum: 39.9339
- Train Gen Len: 14.1547
- Epoch: 0

## 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:
- optimizer: {'name': 'Adam', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 0.6803     | 0.7039          | 48.5820      | 26.3291      | 39.9040      | 39.9339         | 14.1547       | 0     |


### Framework versions

- Transformers 4.26.0
- TensorFlow 2.9.2
- Datasets 2.9.0
- Tokenizers 0.13.2