---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-news_headlines
  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-base-news_headlines

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0458
- Rouge1: 54.4139
- Rouge2: 37.646
- Rougel: 52.7585
- Rougelsum: 52.7718

## 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: 5.6e-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: 7

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.0018        | 1.0   | 1531  | 1.5329          | 43.1551 | 22.8869 | 40.7905 | 40.8246   |
| 1.574         | 2.0   | 3062  | 1.3419          | 46.5375 | 26.8791 | 44.41   | 44.4587   |
| 1.3702        | 3.0   | 4593  | 1.2201          | 48.6514 | 29.6228 | 46.6431 | 46.7098   |
| 1.2289        | 4.0   | 6124  | 1.1366          | 51.7488 | 33.7562 | 50.0123 | 50.0537   |
| 1.126         | 5.0   | 7655  | 1.0810          | 52.9846 | 35.6371 | 51.3321 | 51.3433   |
| 1.0569        | 6.0   | 9186  | 1.0585          | 53.8125 | 36.646  | 52.1451 | 52.1865   |
| 1.0105        | 7.0   | 10717 | 1.0458          | 54.4139 | 37.646  | 52.7585 | 52.7718   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3