transformers pytorch tensorboard t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: T5_base_filipino_news_summarization
  results: []
---

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# T5_base_filipino_news_summarization

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5688
- Rouge1: 0.1647
- Rouge2: 0.0732
- Rougel: 0.1456
- Rougelsum: 0.1457
- Gen Len: 19.0

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 79   | 2.7017          | 0.1687 | 0.0738 | 0.1484 | 0.1485    | 19.0    |
| No log        | 2.0   | 158  | 2.6167          | 0.1685 | 0.076  | 0.1486 | 0.1485    | 19.0    |
| No log        | 3.0   | 237  | 2.5787          | 0.167  | 0.0755 | 0.1478 | 0.1478    | 19.0    |
| No log        | 4.0   | 316  | 2.5688          | 0.1647 | 0.0732 | 0.1456 | 0.1457    | 19.0    |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
