Whisper Largev3 Myst Gclora
Whisper-large-v3 adapted to the MyST dataset with GC-LoRA (Gated Convolutional LoRA), from the paper "GC-LoRA: Gated Convolutional LoRA for Parameter-Efficient Acoustic Adaptation" (Interspeech 2026).
Modellquelle
- Art
- Other
- Dateigröße
- 1,10–4,65 GB
- Version
- vRevision 31b2246
- Aktualisiert
- 21. Okt. 2026
- Verleger
- @balaji1312
- Downloads
- 5
- Quelle
- Hugging Face
Quellenbeschreibung
Whisper-large-v3 MyST (GC-LoRA)
Whisper-large-v3 adapted to the MyST dataset with GC-LoRA (Gated Convolutional LoRA), from the paper "GC-LoRA: Gated Convolutional LoRA for Parameter-Efficient Acoustic Adaptation" (Interspeech 2026).
- Base model:
openai/whisper-large-v3 - Method: GC-LoRA adapter on the encoder attention output projections (rank 8, kernel 31, scaling 16)
- MyST test WER: 8.7%
- Code: https://github.com/balaji1312/gc_lora
Usage
The checkpoint bundles the frozen Whisper backbone together with the trained GC-LoRA adapter.
Loading requires the custom modeling code in the gc_lora repository; see src/bin/decode_asr.py
there for loading and decoding.
Citation
@inproceedings{shankar2026gclora,
author = {Shankar, Natarajan Balaji and Wang, Zilai and Zhang, Kaiyuan and Shi, Mohan and Alwan, Abeer},
title = {{GC-LoRA}: Gated Convolutional {LoRA} for Parameter-Efficient Acoustic Adaptation},
booktitle = {Interspeech 2026},
year = {2026},
}
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 21. Okt.
Modellartefakte
2 Artefakte
Modellartefakte
2 Artefaktemodel-00001-of-00002.safetensors
safetensors · 4,65 GB · SHA-256 7160b0cda84e…56b2 · Hugging Face
Herunterladenmodel-00002-of-00002.safetensors
safetensors · 1,10 GB · SHA-256 630ca7746728…69a9 · Hugging Face
HerunterladenQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- license: apache-2.0 language: en library_name: transformers pipeline_tag: automatic-speech-recognition tags: - whisper - automatic-speech-recognition - peft - lora - gc-lora - myst --- # Whisper-large-v3 MyST (GC-LoRA) Whisper-large-v3 adapted to the **MyST** dataset with **GC-LoRA** (Gated Convolutional LoRA), from the paper *"GC-LoRA: Gated Convolutional LoRA for Parameter-Efficient Acoustic Adaptation"* (Interspeech 2026). - **Base model:** `openai/whisper-large-v3` - **Method:** GC-LoRA adapter on the encoder attention output projections (rank 8, kernel 31, scaling 16) - **MyST test WER:** **8.7%** - **Code:** https://github.com/balaji1312/gc_lora ## Usage The checkpoint bundles the frozen Whisper backbone together with the trained GC-LoRA adapter. Loading requires the custom modeling code in the [gc_lora repository](https://github.com/balaji1312/gc_lora); see `src/bin/decode_asr.py` there for loading and decoding. ## Citation ```bibtex @inproceedings{shankar2026gclora, author = {Shankar, Natarajan Balaji and Wang, Zilai and Zhang, Kaiyuan and Shi, Mohan and Alwan, Abeer}, title = {{GC-LoRA}: Gated Convolutional {LoRA} for Parameter-Efficient Acoustic Adaptation}, booktitle = {Interspeech 2026}, year = {2026}, } ```
Source context: 5 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo balaji1312/whisper-largev3-myst-gclora
Source context: 4 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo balaji1312/whisper-largev3-myst-gclora
