KasuleTrevor/cdli-whisper-lg-sulaimank-encoder-a40-1e-4-polynomial-5k

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cdli-whisper-lg-sulaimank-encoder-a40-1e-4-polynomial-5k

This model is a fine-tuned version of sulaimank/whisper-small-luganda-400hrs on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.4773
• —Wer: 0.6581
• —Cer: 0.3593

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: 0.0001
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: polynomial
• —lrschedulerwarmup_steps: 300
• —training_steps: 5000

Training results

Framework versions

• —Transformers 4.57.6
• —Pytorch 2.7.1+cu118
• —Datasets 3.6.0
• —Tokenizers 0.22.2