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---
license: mit
base_model: minhtoan/t5-small-vietnamese-news
tags:
- generated_from_keras_callback
model-index:
- name: Eugenememe/t5-small-vietnamese-news-finetuned-xsum2
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. -->
# Eugenememe/t5-small-vietnamese-news-finetuned-xsum2
This model is a fine-tuned version of [minhtoan/t5-small-vietnamese-news](https://huggingface.co/minhtoan/t5-small-vietnamese-news) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.4120
- Validation Loss: 1.1603
- Train Rouge1: 44.1340
- Train Rouge2: 24.3230
- Train Rougel: 33.8562
- Train Rougelsum: 33.8562
- Train Gen Len: 19.0
- 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 1.4120 | 1.1603 | 44.1340 | 24.3230 | 33.8562 | 33.8562 | 19.0 | 0 |
### Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2
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