---
language:
- de
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: T5-Base_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. -->

# T5-Base_GNAD

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: 2.0748
- Rouge1: 27.0446
- Rouge2: 7.9355
- Rougel: 18.5537
- Rougelsum: 23.2386
- Gen Len: 47.36

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.16.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3