baki83/whisper-v3-turbo-juznevesti-sr-lora

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whisper-v3-turbo-juznevesti-sr-lora

This model is a fine-tuned version of openai/whisper-large-v3-turbo on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4765
• —Wer: 29.1655
• —Wer Normalized: 21.1180

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: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.PAGEDADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 0.05
• —num_epochs: 2.0

Training results

Framework versions

• —PEFT 0.21.0
• —Transformers 5.17.0
• —Pytorch 2.11.0+cu130
• —Datasets 5.0.1
• —Tokenizers 0.23.2