dmatekenya/whisper-small-chichewa-2h

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whisper-small-chichewa-2h

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 3.4824
• —Wer: 164.6744
• —Cer: 110.9551

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: 1e-05
• —trainbatchsize: 2
• —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: linear
• —lrschedulerwarmup_steps: 5
• —training_steps: 20

Training results

Framework versions

• —Transformers 5.4.0
• —Pytorch 2.11.0
• —Datasets 4.8.5
• —Tokenizers 0.22.2