Muniekstache/EN-FR_to_EN-NL_Non-Creative_MarianMT_LRL_Finetuned

EN-DE parent ➜ EN-NL fine-tuned on creative corpus

Authors: Niek Holter
Thesis: “Transferring Creativity”

Summary

This model starts from Helsinki-NLP’s MarianMT opus-mt-en-fr and is fine-tuned on a 10k-sentence non-creative English–Dutch corpus (Journalistic texts).
It is one of four systems trained for my bachelor’s thesis to study how transfer-learning settings affect MT creativity.

Parent model	Fine-tune data	BLEU	COMET	Transformer Creativity Score
en-de	Creative	9.950	0.574	0.34

Intended use

• Research on creative MT and low-resource transfer learning

Training details

• Hardware  : NVIDIA GTX 1070 (CUDA 12.1)
• Epochs : Early-stopped ≤ 200 (patience 5)
• LR / batch : 2 e-5 / 16
• Script : finetuning.py
• Env : environment.yml

Data

• Non-Creative corpus 10k sentences from DPC Journalistic texts.
• Sentence-level 1:1 alignments; deduplicated to avoid leakage.
  See https://github.com/muniekstache/Transfer-Creativity.git for full pipeline.