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Wav2vec2 Bert Mizonal2 Lus v25.03.2

> 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/w2v-bert-2.0VersionRevision 75fa61fCClasse

Source du modèle

Type
Other
Taille du fichier
2,26 GB
Modèle de base
facebook/w2v-bert-2.0
Version
vRevision 75fa61f
Mis à jour
19 oct. 2026
Téléchargements
3
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-bert-Mizo-Lus-v25.03.2

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4014
  • Wer: 0.1790

Sources

1 source
Hugging FacePrincipalVersion 75fa61ff947be5fd5a233175490524a341826fc1
huggingface.co/andrewbawitlung/wav2vec2-bert-mizonal2-lus-v25.03.2/tree/75fa61ff947be5fd5a233175490524a341826fc1

Vérifié 19 oct.

Artefacts du modèle

1 artefact

model.safetensors

safetensors · 2,26 GB · SHA-256 866c1abe4ec6…08b6 · Hugging Face

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Extraits de sources

3 extraits

--- license: mit pipeline_tag: automatic-speech-recognition base_model: facebook/w2v-bert-2.0 tags: - audio - automatic-speech-recognition datasets: - andrewbawitlung/MiZonal-v2.0 metrics: - wer model-index: - name: wav2vec2-bert-Mizo-Lus-v25.03.2 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: 0.1789709172259508 --- ![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-bert-Mizo-Lus-v25.03.2 This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the generator dataset. It achieves the following results on the evaluation set: - Loss: 0.4014 - Wer: 0.1790

Source context: 3 downloads · 0 likes · Pipeline automatic-speech-recognition · Repo andrewbawitlung/wav2vec2-bert-mizonal2-lus-v25.03.2

Source context: 56 downloads · 0 likes · Pipeline automatic-speech-recognition · Repo andrewbawitlung/wav2vec2-bert-mizonal2-lus-v25.03.2