lfurman/whisper-tiny-en

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Whisper Tiny En - FreeSound based captions

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

• —Loss: 5.5085
• —Wer: 91.7867

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: 16
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 7000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.45.2
• —Pytorch 2.1.0+cu118
• —Datasets 3.0.1
• —Tokenizers 0.20.1