Model Card for mT5-base-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-base
• Task: Text-Simplification

Training Details

Training Data

DEplain/DEplain-APA-sent
Stodden et al. (2023):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: 0.1
• Target modules: all linear layers