---
library_name: transformers
base_model: hientptran/t5-small-finetuned-tifu
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-tifu
  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. -->

# t5-small-finetuned-tifu

This model is a fine-tuned version of [hientptran/t5-small-finetuned-tifu](https://huggingface.co/hientptran/t5-small-finetuned-tifu) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9160
- Rouge1: 21.4234
- Rouge2: 5.1697
- Rougel: 17.8628
- Rougelsum: 18.3012
- Gen Len: 19.4414

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 3.0712        | 1.0   | 2107 | 2.9372          | 20.9834 | 4.9652 | 17.5404 | 17.942    | 19.448  |
| 3.0523        | 2.0   | 4214 | 2.9216          | 21.3716 | 5.1541 | 17.7939 | 18.2228   | 19.4411 |
| 3.0546        | 3.0   | 6321 | 2.9160          | 21.4234 | 5.1697 | 17.8628 | 18.3012   | 19.4414 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0