ronnybscales/whisper-small-shona-waxal

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whisper-small-shona-waxal

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

• —eval_loss: 0.5100
• —eval_wer: 52.0133
• —eval_runtime: 157.3423
• —evalsamplesper_second: 1.271
• —evalstepsper_second: 0.159
• —epoch: 2.0295
• —step: 4000

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: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —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: 500
• —training_steps: 4000
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 5.13.1
• —Pytorch 2.11.0+cu128
• —Datasets 2.21.0
• —Tokenizers 0.22.2