---
datasets:
- DEplain/DEplain-APA-sent
language:
- de
metrics:
- sari
- bleu
- bertscore
library_name: transformers
base_model: google/mT5-large
pipeline_tag: text2text-generation
---
# Model Card for mT5-large-trimmed_deplain-apa

Finetuned mT5-Model for German sentence-level text-simplification.

## Model Details

### Model Description

- **Model type:** Encoder-Decoder-Transformer
- **Language(s) (NLP):** German
- **Finetuned from model:** google/mT5-large
- **Task**: Text-Simplification

## Training Details

### Training Data

[DEplain/DEplain-APA-sent](https://huggingface.co/datasets/DEplain/DEplain-APA-sent) \
Stodden et al. (2023): [arXiv:2305.18939](arXiv:2305.18939)

### Training Procedure

Parameter-efficient Fine-Tuning with LoRA. Vocabulary trimmed to 32.000 most frequent tokens for German.

#### Training Hyperparameters
* Batch Size: 16
* Epochs: 1
* Learning Rate: 0,001
* Optimizer: Adafactor

#### LoRA Hyperparameters
* R: 32
* Alpha: 64
* Dropout:
* Target modules: all linear layers