---
language:
- de
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: 10k_MT5_small_sum-de_GNAD
  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. -->

# 10k_MT5_small_sum-de_GNAD

This model is a fine-tuned version of [deutsche-telekom/mt5-small-sum-de-en-v1](https://huggingface.co/deutsche-telekom/mt5-small-sum-de-en-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5066
- Rouge1: 23.6554
- Rouge2: 7.5413
- Rougel: 17.4259
- Rougelsum: 20.6655
- Gen Len: 42.7873

## 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: 5e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 10

### Training results



### Framework versions

- Transformers 4.22.0.dev0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1