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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
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Dataset used to train vera-8/mT5-small-VT_deplain-apa