transformers pytorch tensorboard t5 text2text-generation summarization generated_from_trainer license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
license: apache-2.0
metrics:
- rouge
tags:
- summarization
- generated_from_trainer
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: 1.1569
- Rouge1: 50.0083
- Rouge2: 29.6819
- Rougel: 46.8393
- Rougelsum: 46.8438

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 1.9951        | 1.0   | 1531 | 1.5057          | 44.519  | 22.4497 | 40.7613 | 40.7478   |
| 1.6093        | 2.0   | 3062 | 1.3058          | 46.2567 | 24.5777 | 42.6763 | 42.6283   |
| 1.4268        | 3.0   | 4593 | 1.2573          | 47.8969 | 27.011  | 44.4848 | 44.4922   |
| 1.3068        | 4.0   | 6124 | 1.1890          | 49.6078 | 29.1636 | 46.314  | 46.3458   |
| 1.2354        | 5.0   | 7655 | 1.1569          | 50.0083 | 29.6819 | 46.8393 | 46.8438   |


### Framework versions

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