marinone94/whisper-medium-swedish

Whisper Medium Swedish

This model is a fine-tuned version of Whisper Medium Nordic on the mozilla-foundation/common_voice_11_0 (train+validation), the babelbox/babelbox_voice (NST SV - train split) and the google/fleurs (sv_se - train+validation+test) datasets. It achieves the following results on the evaluation set:

• —eval_loss: 0.2483
• —eval_wer: 9.8914
• —eval_runtime: 2924.8709
• —evalsamplesper_second: 1.733
• —evalstepsper_second: 0.108

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: 32
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 250
• —training_steps: 5000
• —mixedprecisiontraining: Native AMP

Framework versions

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

WandB run

https://wandb.ai/pn-aa/whisper/runs/z2lzjx4x?workspace=user-emilio_marinone