---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-news
  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-news

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: 1.9959
- Rouge1: 0.3606
- Rouge2: 0.1649
- Rougel: 0.2945
- Rougelsum: 0.2945
- Gen Len: 18.7588

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.2911        | 1.0   | 510  | 2.0560          | 0.3537 | 0.1569 | 0.2881 | 0.2883    | 18.7647 |
| 2.1554        | 2.0   | 1020 | 2.0139          | 0.3558 | 0.1611 | 0.2915 | 0.2917    | 18.7304 |
| 2.1213        | 3.0   | 1530 | 2.0008          | 0.3596 | 0.1643 | 0.2931 | 0.2929    | 18.7431 |
| 2.1109        | 4.0   | 2040 | 1.9959          | 0.3606 | 0.1649 | 0.2945 | 0.2945    | 18.7588 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3