Alvin-Nahabwe/AfriHuBERT-mdc-rutoro-asr-1.0.0

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AfriHuBERT-mdc-rutoro-asr-1.0.0

This model is a fine-tuned version of ajesujoba/AfriHuBERT on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.9595
• —Wer: 1.0
• —Cer: 1.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 5e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 50.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.57.1
• —Pytorch 2.9.0+cu128
• —Datasets 4.4.0
• —Tokenizers 0.22.1