Mizo Automatic Speech Recognition (ASR) Models
Collection
These Models were trained using MiZonal v1.0 Dataset
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7 items
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Updated
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the generator dataset. It achieves the following results on the evaluation set:
BibTeX entry and citation info:
@article{10.1145/3746063,
author = {Bawitlung, Andrew and Dash, Sandeep Kumar and Pattanayak, Radha Mohan},
title = {Mizo Automatic Speech Recognition: Leveraging Wav2vec 2.0 and XLS-R for Enhanced Accuracy in Low-Resource Language Processing},
year = {2025},
url = {https://doi.org/10.1145/3746063},
doi = {10.1145/3746063},
journal = {ACM Trans. Asian Low-Resour. Lang. Inf. Process.},
month = jun,
}
MiZonal v1.0
The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
2.2954 | 2.18 | 300 | 0.3737 | 0.4528 |
0.6507 | 4.35 | 600 | 0.1903 | 0.2866 |
0.492 | 6.53 | 900 | 0.1740 | 0.2419 |
0.4302 | 8.7 | 1200 | 0.1503 | 0.2189 |
0.3512 | 10.88 | 1500 | 0.1344 | 0.1884 |
0.2963 | 13.06 | 1800 | 0.1264 | 0.2071 |
0.2536 | 15.23 | 2100 | 0.1250 | 0.1868 |
0.2075 | 17.41 | 2400 | 0.1217 | 0.1599 |
0.1775 | 19.58 | 2700 | 0.1121 | 0.1602 |
0.151 | 21.76 | 3000 | 0.1204 | 0.1601 |
0.1253 | 23.93 | 3300 | 0.1211 | 0.1435 |
0.1073 | 26.11 | 3600 | 0.1267 | 0.1521 |
Base model
facebook/wav2vec2-xls-r-1b