jjnhuang/whisper-small-finetuned-iwslt-welsh

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whisper-small-finetuned-iwslt-welsh

This model is a fine-tuned version of openai/whisper-small on the covost2 dataset. It achieves the following results on the evaluation set:

• —Loss: 3.7340
• —Wer: 82.1085
• —Bleu: 14.0988
• —Chrf++: 33.5907
• —Comet: 0.5541

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: 5e-05
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 1000
• —training_steps: 5000
• —mixedprecisiontraining: Native AMP
• —labelsmoothingfactor: 0.1

Training results

Framework versions

• —Transformers 4.52.0
• —Pytorch 2.11.0+cu128
• —Datasets 2.21.0
• —Tokenizers 0.21.4