transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:NlpHUST/t5-small-vi-summarization base_model:finetune:NlpHUST/t5-small-vi-summarization autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: NlpHUST/t5-small-vi-summarization
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: viet_model
  results: []
---

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# viet_model

This model is a fine-tuned version of [NlpHUST/t5-small-vi-summarization](https://huggingface.co/NlpHUST/t5-small-vi-summarization) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 0.0

## 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:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 60   | nan             | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| No log        | 2.0   | 120  | nan             | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
