---
library_name: transformers
license: apache-2.0
datasets:
- google/fleurs
- mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS
- Tun-Wellens/BSP-S4-lb_lu
- Lemswasabi/luxembourgish-asr-rtl-lu
language:
- lb
base_model:
- openai/whisper-medium
---

# Whisper Medium Luxembourgish Fine-Tuned Model

This is a fine-tuned version of OpenAI's Whisper **medium** model for **Luxembourgish Automatic Speech Recognition (ASR)**.

## Model Details

- **Developed by:** [Tun Wellens](https://huggingface.co/Tun-Wellens)
- **Model type:** Automatic Speech Recognition (ASR)
- **Language(s):** Luxembourgish (lb)
- **License:** apache-2.0
- **Finetuned from model:** openai/whisper-medium

## Training Details

Fine-tuned using a combination of Luxembourgish datasets:

- **Training datasets:**
- https://huggingface.co/datasets/google/fleurs
- https://huggingface.co/datasets/mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS
- https://huggingface.co/datasets/Tun-Wellens/BSP-S4-lb_lu
- https://huggingface.co/datasets/Lemswasabi/luxembourgish-asr-rtl-lu
- **Validation dataset:** FLEURS (validation split)

Training was tracked using Weights & Biases (W&B) and performed with Hugging Face Transformers.

## Intended Uses

- **Primary use:** Transcription of spoken Luxembourgish audio to text.

## Limitations and Biases

- The model is specialized for Luxembourgish and does not not perform well on other languages.