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.
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 1,18 GB
- Modelo base
- facebook/wav2vec2-xls-r-300m
- Versão
- vRevision 5a321a1
- Atualizado
- 20 de out. de 2026
- Downloads
- 2
- Fonte
- Hugging Face
Descrição da fonte
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
Fontes
1 fonte
Fontes
1 fonteVerificado 19 de out.
Artefatos de modelo
1 artefato
Artefatos de modelo
1 artefatoTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- 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 ---  > **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
