marinone94/whisper-tiny-sv

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Whisper Tiny Nordic

This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/commonvoice110 sv-SE mozilla-foundation/commonvoice110 da mozilla-foundation/commonvoice110 nn-NO babelbox/babelboxvoice nst NbAiLab/NST no-distant NbAiLab/NPSC 16Kmp3nynorsk google/fleurs svse google/fleurs dadk google/fleurs nb_no dataset. It achieves the following results on the evaluation set:

• —Loss: 5.1226
• —Wer: 87.6596

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

Training results

Framework versions

• —Transformers 4.26.0.dev0
• —Pytorch 1.13.1+cu117
• —Datasets 2.7.1.dev0
• —Tokenizers 0.13.2