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

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: 1.6917
- Rouge1: 25.924
- Rouge2: 17.2398
- Rougel: 24.0239
- Rougelsum: 24.6845
- Gen Len: 18.9879

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.9987        | 1.0   | 6899  | 1.7184          | 25.6352 | 17.0364 | 23.7635 | 24.4065   | 18.9903 |
| 0.9624        | 2.0   | 13798 | 1.6996          | 25.8132 | 17.1732 | 23.9131 | 24.5744   | 18.9885 |
| 0.9902        | 3.0   | 20697 | 1.6917          | 25.924  | 17.2398 | 24.0239 | 24.6845   | 18.9879 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1