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

Loss: 0.5759
Wer: 15.3656

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: 5e-06
train_batch_size: 32
eval_batch_size: 16
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
0.016	7.58	1000	0.4492	15.7391
0.0014	15.15	2000	0.5306	15.4550
0.0004	22.73	3000	0.5759	15.3656
0.0003	30.3	4000	0.5981	15.4655
0.0002	37.88	5000	0.6072	15.5076

Framework versions

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

BlueRaccoon/whisper-medium-da

Whisper Medium Danish

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

BlueRaccoon/
whisper-medium-da