Model Card for mT5-small-VT_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-small
- 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 adjusted through Vocabulary Transfer (Mosin et al. (2021): arXiv:2112.14569).
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
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.