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

Loss: 0.6929
Wer: 44.1915

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
0.2768	6.01	1000	0.6929	44.1915
0.0748	12.02	2000	0.7672	44.9925
0.0143	18.03	3000	0.8665	45.0086
0.0074	25.01	4000	0.9179	45.8177
0.0062	31.02	5000	0.9326	45.7827

Framework versions

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

birgermoell/whisper-tiny-sv

Whisper Tiny Swedish

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

birgermoell/
whisper-tiny-sv