Aregay01/whisper-small-tigrinya-r-32

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whisper-small-tigrinya-r-32

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

• —Cer: 16.2664
• —Loss: 0.4443
• —Wer: 44.0975

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
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 32
• —optimizer: Use OptimizerNames.PAGEDADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 100
• —num_epochs: 10

Training results

Framework versions

• —PEFT 0.18.1
• —Transformers 5.2.0
• —Pytorch 2.9.0+cu128
• —Datasets 4.0.0
• —Tokenizers 0.22.2