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Wav2vec2 Xls R 300m Mizonal2 Lus v25.03.04

> Disclaimer / Notice: Details for these are in Peer Review and publications of the paper will be made available soon for more details.

TypeOtherModèle de basefacebook/wav2vec2-xls-r-300mVersionRevision 5a321a1CClasse

Source du modèle

Type
Other
Taille du fichier
1,18 GB
Modèle de base
facebook/wav2vec2-xls-r-300m
Version
vRevision 5a321a1
Mis à jour
20 oct. 2026
Téléchargements
2
Source
Hugging Face

Description de la source

Mizo Automatic Speech Recognition (ASR) Models v2.0

Disclaimer / Notice: Details for these are in Peer Review and publications of the paper will be made available soon for more details.

wav2vec2-xls-r-300m-mizonal2-lus-v25.03.04

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1831
  • Wer: 0.1715

Sources

1 source
Hugging FacePrincipalVersion 5a321a1d21d889f0d4c86ab53d8033e04cf68111
huggingface.co/andrewbawitlung/wav2vec2-xls-r-300m-mizonal2-lus-v25.03.04/tree/5a321a1d21d889f0d4c86ab53d8033e04cf68111

Vérifié 19 oct.

Artefacts du modèle

1 artefact

model.safetensors

safetensors · 1,18 GB · SHA-256 e6cdd14968a6…8fe2 · Hugging Face

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Extraits de sources

3 extraits

--- license: apache-2.0 pipeline_tag: automatic-speech-recognition base_model: facebook/wav2vec2-xls-r-300m tags: - audio - automatic-speech-recognition datasets: - andrewbawitlung/MiZonal-v2.0 metrics: - wer model-index: - name: wav2vec2-xls-r-300m-mizonal2-lus-v25.03.04 results: - task: name: Automatic Speech Recognition type: automatic-speech-recognition dataset: name: MiZonal v2.0 type: andrewbawitlung/MiZonal-v2.0 config: default split: train args: default metrics: - name: Wer type: wer value: 0.1715137956748695 --- ![Mizo Automatic Speech Recognition (ASR) Models v2.0](banner.jpg) > **Disclaimer / Notice:** Details for these are in Peer Review and publications of the paper will be made available soon for more details. <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # wav2vec2-xls-r-300m-mizonal2-lus-v25.03.04 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the generator dataset. It achieves the following results on the evaluation set: - Loss: 0.1831 - Wer: 0.1715

Source context: 2 downloads · 0 likes · Pipeline automatic-speech-recognition · Repo andrewbawitlung/wav2vec2-xls-r-300m-mizonal2-lus-v25.03.04

Source context: 56 downloads · 0 likes · Pipeline automatic-speech-recognition · Repo andrewbawitlung/wav2vec2-xls-r-300m-mizonal2-lus-v25.03.04