sparshrestha/finetuned-whisper-small-nepali

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Fine-tuned Whisper Small Nepali

This model is a fine-tuned version of openai/whisper-small on the Common Voice 26.0 + Google FLEURS ne_np dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4616
• —Wer: 63.1340
• —Normalized Wer: 62.4060
• —Cer: 27.8890
• —Avg Pred Words: 10.0194
• —Avg Ref Words: 11.3694
• —Empty Prediction Rate: 0.0

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: 3e-05
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 50
• —training_steps: 500
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 5.12.1
• —Pytorch 2.11.0+cu128
• —Datasets 5.0.0
• —Tokenizers 0.22.2