This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 sv-SE dataset. It achieves the following results on the evaluation set:

Loss: 1.8738
Wer: 62.6922

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
train_batch_size: 64
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.0512	6.01	1000	2.5997	87.1949
0.4367	12.02	2000	1.8089	68.1271
0.0806	18.03	3000	1.7969	63.5711
0.0194	25.01	4000	1.8435	63.4663
0.0121	31.02	5000	1.8738	62.6922

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2

birgermoell/whisper-small-sv-fast

Whisper Small Swedish Fast

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

birgermoell/
whisper-small-sv-fast