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Muniekstache/EN-DE_to_EN-NL_Creative_MarianMT_LRL_Finetuned

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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-de and is fine-tuned on a 10k-sentence creative English–Dutch corpus (fiction + subtitles). It is one of four systems trained for my bachelor’s thesis to study how transfer-learning settings affect MT creativity.

Parent modelFine-tune dataBLEUCOMETTransformed Creativity Score
en-deCreative18.40.6620.42

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

  • —Creative corpus (7.6 k fiction sentences from DPC + 2.4 k OpenSubtitles).
  • —Sentence-level 1:1 alignments; deduplicated to avoid leakage. See https://github.com/muniekstache/Transfer-Creativity.git for full pipeline.